CRANberries

Fri, 13 Sep 2024

New package timeSeriesDataSets with initial version 0.1.0
Package: timeSeriesDataSets
Title: Time Series Data Sets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides a diverse collection of time series datasets spanning various fields such as economics, finance, energy, healthcare, and more. Designed to support time series analysis in R by offering datasets from multiple disciplines, making it a valuable resource for researchers and analysts.
License: GPL-3
URL: https://github.com/lightbluetitan/timeseriesdatasets_R
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-11 02:07:23 UTC; renzorossiv
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-09-13 18:10:02 UTC

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New package power.transform with initial version 1.0.0
Package: power.transform
Title: Location and Scale Invariant Power Transformations
Version: 1.0.0
Description: Location- and scale-invariant Box-Cox and Yeo-Johnson power transformations allow for transforming variables with distributions distant from 0 to normality. Transformers are implemented as S4 objects. These allow for transforming new instances to normality after optimising fitting parameters on other data. A test for central normality allows for rejecting transformations that fail to produce a suitably normal distribution, independent of sample number.
URL: https://github.com/oncoray/power.transform
BugReports: https://github.com/oncoray/power.transform/issues
License: EUPL
Encoding: UTF-8
Imports: data.table, methods, rlang (>= 1.0.0), nloptr
Suggests: ggplot2 (>= 3.4.0), testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-09-11 07:24:33 UTC; alexz
Author: Alex Zwanenburg [aut, cre] , Steffen Loeck [aut], German Cancer Research Center [cph]
Maintainer: Alex Zwanenburg <alexander.zwanenburg@nct-dresden.de>
Repository: CRAN
Date/Publication: 2024-09-13 18:20:02 UTC

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New package miniLNM with initial version 0.1.0
Package: miniLNM
Title: Miniature Logistic-Normal Multinomial Models
Version: 0.1.0
Description: Logistic-normal Multinomial (LNM) models are common in problems with multivariate count data. This package gives a simple implementation with a 30 line 'Stan' script. This lightweight implementation makes it an easy starting point for other projects, in particular for downstream tasks that require analysis of "compositional" data. It can be applied whenever a multinomial probability parameter is thought to depend linearly on inputs in a transformed, log ratio space. Additional utilities make it easy to inspect, create predictions, and draw samples using the fitted models. More about the LNM can be found in Xia et al. (2013) "A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis" <doi:10.1111/biom.12079> and Sankaran and Holmes (2023) "Generative Models: An Interdisciplinary Perspective" <doi:10.1146/annurev-statistics-033121-110134>.
License: CC0
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), cli, dplyr, fansi, formula.tools, glue, methods, posterior, rstan (>= 2.18.1), rstantools (>= 2.4.0), tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Biarch: true
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
BugReports: https://github.com/krisrs1128/miniLNM/issues/
URL: https://github.com/krisrs1128/miniLNM/, https://krisrs1128.github.io/miniLNM/
NeedsCompilation: yes
Packaged: 2024-09-11 17:28:57 UTC; krissankaran
Author: Kris Sankaran [aut, cre]
Maintainer: Kris Sankaran <ksankaran@wisc.edu>
Repository: CRAN
Date/Publication: 2024-09-13 18:30:02 UTC

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New package healthatlas with initial version 0.1.0
Package: healthatlas
Title: Explore and Import 'Metopio' Health Atlas Data and Spatial Layers
Version: 0.1.0
Description: Allows for painless use of the 'Metopio' health atlas APIs <https://metopio.com/how-it-works/atlas/> to explore and import data. 'Metopio' health atlases store open public health data. See what topics (or indicators) are available among specific populations, periods, and geographic layers. Download relevant data along with geographic boundaries or point datasets. Spatial datasets are returned as 'sf' objects.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr2, purrr, sf, tibble, tidyr
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://ryanzomorrodi.github.io/healthatlas/, https://github.com/ryanzomorrodi/healthatlas
BugReports: https://github.com/ryanzomorrodi/healthatlas/issues
NeedsCompilation: no
Packaged: 2024-09-11 04:45:03 UTC; user
Author: Ryan Zomorrodi [aut, cre, cph]
Maintainer: Ryan Zomorrodi <rzomor2@uic.edu>
Repository: CRAN
Date/Publication: 2024-09-13 18:20:05 UTC

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New package dsld with initial version 0.2.2
Package: dsld
Version: 0.2.2
Title: Data Science Looks at Discrimination
Maintainer: Norm Matloff <nsmatloff@ucdavis.edu>
VignetteBuilder: knitr
Imports: Kendall, ranger, ggplot2, plotly, freqparcoord, fairness,sandwich
Depends: R (>= 3.5.0), fairml, gtools, regtools,qeML,rmarkdown
Suggests: knitr,bnlearn,Matching,randomForest
License: GPL (>= 2)
Description: Statistical and graphical tools for detecting and measuring discrimination and bias, be it racial, gender, age or other. Detection and remediation of bias in machine learning algorithms. 'Python' interfaces available.
URL: https://github.com/matloff/dsld
BugReports: https://github.com/matloff/dsld/issues
NeedsCompilation: no
Packaged: 2024-09-11 04:08:37 UTC; normanmatloff
Author: Norm Matloff [aut, cre] , Taha Abdullah [aut], Arjun Ashok [aut], Shubhada Martha [aut], Aditya Mittal [aut], Billy Ouattara [aut], Jonathan Tran [aut], Brandon Zarate Estrada [aut]
Repository: CRAN
Date/Publication: 2024-09-13 18:20:09 UTC

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New package douconca with initial version 1.2.0
Package: douconca
Title: Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology
Version: 1.2.0
Date: 2024-08-29
Description: Double constrained correspondence analysis (dc-CA) analyzes (multi-)trait (multi-)environment ecological data by using the 'vegan' package and native R code. Throughout the two step algorithm of ter Braak et al. (2018) is used. This algorithm combines and extends community- (sample-) and species-level analyses, i.e. the usual community weighted means (CWM)-based regression analysis and the species-level analysis of species-niche centroids (SNC)-based regression analysis. The two steps use canonical correspondence analysis to regress the abundance data on to the traits and (weighted) redundancy analysis to regress the CWM of the orthonormalized traits on to the environmental predictors. The function dc_CA() has an option to divide the abundance data of a site by the site total, giving equal site weights. This division has the advantage that the multivariate analysis corresponds with an unweighted (multi-trait) community-level analysis, instead of being weighted. The first step of the al [...truncated...]
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2 (>= 3.5.1), ggrepel, gridExtra, permute, rlang, stats, vegan (>= 2.6-8)
NeedsCompilation: no
Suggests: rmarkdown, knitr, tinytest
VignetteBuilder: knitr
URL: https://github.com/CajoterBraak/douconca
BugReports: https://github.com/CajoterBraak/douconca/issues
Packaged: 2024-09-11 07:27:07 UTC; rossu027
Author: Cajo J.F ter Braak [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>
Repository: CRAN
Date/Publication: 2024-09-13 18:20:13 UTC

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New package DiscreteDists with initial version 1.0.0
Package: DiscreteDists
Title: Discrete Statistical Distributions
Version: 1.0.0
Description: Implementation of new discrete statistical distributions. Each distribution includes the traditional functions as well as an additional function called the family function, which can be used to estimate parameters within the 'gamlss' framework.
License: MIT + file LICENSE
Imports: gamlss, gamlss.dist, pracma, Rdpack, Rcpp
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: knitr, rmarkdown
URL: https://github.com/fhernanb/DiscreteDists
BugReports: https://github.com/fhernanb/DiscreteDists/issues
NeedsCompilation: yes
Packaged: 2024-09-11 01:13:09 UTC; fhern
Author: Freddy Hernandez-Barajas [aut, cre] , Fernando Marmolejo-Ramos [aut] , Jamiu Olumoh [aut] , Osho Ajayi [aut] , Olga Usuga-Manco [aut]
Maintainer: Freddy Hernandez-Barajas <fhernanb@unal.edu.co>
Repository: CRAN
Date/Publication: 2024-09-13 18:10:06 UTC

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New package DEHOGT with initial version 0.99.0
Package: DEHOGT
Title: Differentially Expressed Heterogeneous Overdispersion Gene Test for Count Data
Version: 0.99.0
Description: Implements a generalized linear model approach for detecting differentially expressed genes across treatment groups in count data. The package supports both quasi-Poisson and negative binomial models to handle over-dispersion, ensuring robust identification of differential expression. It allows for the inclusion of treatment effects and gene-wise covariates, as well as normalization factors for accurate scaling across samples. Additionally, it incorporates statistical significance testing with options for p-value adjustment and log2 fold range thresholds, making it suitable for RNA-seq analysis as described in by Xu et al., (2024) <doi:10.1371/journal.pone.0300565>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: doParallel, foreach, MASS,
Suggests: knitr, rmarkdown, BiocStyle
VignetteBuilder: knitr
URL: https://github.com/ahshen26/DEHOGT
BugReports: https://github.com/ahshen26/DEHOGT/issues
NeedsCompilation: no
Packaged: 2024-09-11 15:00:01 UTC; arlinashen
Author: Qi Xu [aut], Arlina Shen [cre] , Yubai Yuan [ctb], Annie Qu [ctb]
Maintainer: Arlina Shen <ahshen24@berkeley.edu>
Repository: CRAN
Date/Publication: 2024-09-13 18:30:06 UTC

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New package stdReg2 with initial version 1.0.1
Package: stdReg2
Title: Regression Standardization for Causal Inference
Version: 1.0.1
URL: https://sachsmc.github.io/stdReg2/
BugReports: https://github.com/sachsmc/stdReg2/issues/
Date: 2024-09-10
Description: Contains more modern tools for causal inference using regression standardization. Four general classes of models are implemented; generalized linear models, conditional generalized estimating equation models, Cox proportional hazards models, and shared frailty gamma-Weibull models. Methodological details are described in Sjölander, A. (2016) <doi:10.1007/s10654-016-0157-3>. Also includes functionality for doubly robust estimation for generalized linear models in some special cases, and the ability to implement custom models.
License: AGPL (>= 3)
Encoding: UTF-8
Imports: data.table, drgee, generics, survival
Suggests: causaldata, AF, knitr, nnet, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-09-10 16:51:01 UTC; micsac
Author: Michael C Sachs [aut, cre], Arvid Sjoelander [aut], Erin E Gabriel [aut], Johan Sebastian Ohlendorff [aut], Adam Brand [aut]
Maintainer: Michael C Sachs <sachsmc@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-13 17:50:02 UTC

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New package sfcurve with initial version 1.0.0
Package: sfcurve
Title: 2x2, 3x3 and Nxn Space-Filling Curves
Version: 1.0.0
Date: 2024-09-10
Depends: R (>= 4.0.0)
Imports: grid, Rcpp, methods, colorRamp2
Suggests: rmarkdown, knitr, rgl, testthat, ComplexHeatmap, igraph, digest
VignetteBuilder: knitr
Description: Implementation of all possible forms of 2x2 and 3x3 space-filling curves, i.e., the generalized forms of the Hilbert curve <https://en.wikipedia.org/wiki/Hilbert_curve>, the Peano curve <https://en.wikipedia.org/wiki/Peano_curve> and the Peano curve in the meander type (Figure 5 in <https://eudml.org/doc/141086>). It can generates nxn curves expanded from any specific level-1 units. It also implements the H-curve and the three-dimensional Hilbert curve.
URL: https://github.com/jokergoo/sfcurve, https://jokergoo.github.io/sfcurve/
License: MIT + file LICENSE
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-09-10 18:00:15 UTC; guz
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <z.gu@dkfz.de>
Repository: CRAN
Date/Publication: 2024-09-13 18:00:02 UTC

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New package distfromq with initial version 1.0.4
Package: distfromq
Title: Reconstruct a Distribution from a Collection of Quantiles
Version: 1.0.4
Description: Given a set of predictive quantiles from a distribution, estimate the distribution and create `d`, `p`, `q`, and `r` functions to evaluate its density function, distribution function, and quantile function, and generate random samples. On the interior of the provided quantiles, an interpolation method such as a monotonic cubic spline is used; the tails are approximated by a location-scale family.
License: GPL (>= 3)
URL: http://reichlab.io/distfromq/
Imports: checkmate, purrr, splines, stats, utils, zeallot
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-10 21:02:16 UTC; lshandross
Author: Evan Ray [aut, cre], Aaron Gerding [aut], Li Shandross [ctb], Nick Reich [ctb]
Maintainer: Evan Ray <elray@umass.edu>
Repository: CRAN
Date/Publication: 2024-09-13 18:00:06 UTC

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New package anomo with initial version 0.5.2
Package: anomo
Title: Analysis of Moderation with the Monte Carlo Confidence Interval Method
Version: 0.5.2
Date: 2024-9-10
Description: Analysis of Moderation (anomo) uses the Monte Carlo confidence interval (MCCI) method to test the difference and equivalence of two effects with summary statistics from two studies.
Language: en-US
Depends: R (>= 4.0.0), graphics (>= 4.0.0), base(>= 4.0.0)
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown, knitr, markdown
VignetteBuilder: rmarkdown, knitr, markdown
NeedsCompilation: no
Packaged: 2024-09-10 15:26:14 UTC; zucha
Author: Zuchao Shen [aut, cre]
Maintainer: Zuchao Shen <zuchao.shen@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-13 17:40:01 UTC

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New package hydflood with initial version 0.5.8
Package: hydflood
Title: Flood Extents and Duration along the Rivers Elbe and Rhine
Version: 0.5.8
Date: 2024-09-05
Description: Raster based flood modelling internally using 'hyd1d', an R package to interpolate 1d water level and gauging data. The package computes flood extent and duration through strategies originally developed for 'INFORM', an 'ArcGIS'-based hydro-ecological modelling framework. It does not provide a full, physical hydraulic modelling algorithm, but a simplified, near real time 'GIS' approach for flood extent and duration modelling. Computationally demanding annual flood durations have been computed already and data products were published by Weber (2022) <doi:10.1594/PANGAEA.948042>.
Depends: R (>= 4.0.0), sf, terra, raster, hyd1d
Imports: stats, Rdpack, grDevices, httr2, curl
Suggests: knitr, rmarkdown, devtools, pkgdown, roxygen2, testthat, plot3D, shiny, shinyjs, shiny.i18n, leaflet, leaflet.extras, leaflet.esri, pangaear, rgrass, stringr
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/bafg-bund/hydflood/issues/
URL: https://hydflood.bafg.de, https://github.com/bafg-bund/hydflood
NeedsCompilation: no
Packaged: 2024-09-13 06:12:34 UTC; WeberA
Author: Arnd Weber [aut, cre] , Stephan Rosenzweig [ctb], Benjamin Eberhardt [ctb]
Maintainer: Arnd Weber <arnd.weber@bafg.de>
Repository: CRAN
Date/Publication: 2024-09-13 08:20:02 UTC

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Thu, 12 Sep 2024

New package wither with initial version 0.1.0
Package: wither
Title: Temporarily Change Project Root
Version: 0.1.0
Description: Lets you temporarily execute an expression or a local block with a different here() root in the 'here' package. This is useful for sourcing code in other projects which expect the root directory of here() to be the project directory of those projects. This may be the case with git submodules for example.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: devtools, testthat (>= 3.0.0)
Imports: fs, here, withr
URL: https://github.com/torbjorn/wither
BugReports: https://github.com/torbjorn/wither/issues
NeedsCompilation: no
Packaged: 2024-09-10 10:33:15 UTC; tlindahl
Author: Torbjoern Lindahl [aut, cre, cph] , Anja Minsaas [aut]
Maintainer: Torbjoern Lindahl <torbjorn.lindahl@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-12 17:40:02 UTC

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New package wdi2 with initial version 0.1.0
Package: wdi2
Title: Download World Development Indicators from the World Bank Indicators API
Version: 0.1.0
Description: A modern, flexible interface for accessing the World Bank’s World Development Indicators (WDI) API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>. Similar to the existing 'WDI' package, 'wdi2' allows users to download, process, and analyze indicator data for multiple countries and years. However, 'wdi2' differs by relying on 'httr2' for multi-page request and error handling, providing support for downloading multiple indicators with a single function call, using progress bars to keep users informed about the data processing, and returning the processed data in a tidy data format in line with Wickham (2014) <doi:10.18637/jss.v059.i10>.
License: MIT + file LICENSE
URL: https://github.com/tidy-intelligence/r-wdi2
BugReports: https://github.com/tidy-intelligence/r-wdi2/issues
Depends: R (>= 4.1)
Imports: cli, dplyr (>= 1.0.0), httr2 (>= 1.0.0), purrr (>= 1.0.0), tibble, tidyr (>= 1.0.0)
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-10 11:44:55 UTC; krise
Author: Christoph Scheuch [aut, cre]
Maintainer: Christoph Scheuch <christoph.scheuch@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-12 17:50:02 UTC

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New package tidycountries with initial version 0.0.1
Package: tidycountries
Title: Access and Manipulate Comprehensive Country Level Data in Tidy Format
Version: 0.0.1
Description: A comprehensive and user-friendly interface for accessing, manipulating, and analyzing country-level data from around the world. It allows users to retrieve detailed information on countries, including names, regions, continents, populations, currencies, calling codes, and more, all in a tidy data format. The package is designed to work seamlessly within the 'tidyverse' ecosystem, making it easy to filter, arrange, and visualize country-level data in R.
License: MIT + file LICENSE
URL: https://github.com/denironyx/tidycountries
BugReports: https://github.com/denironyx/tidycountries/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dplyr, stringr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-10 07:00:16 UTC; Dee
Author: Dennis Irorere [aut, cre, cph]
Maintainer: Dennis Irorere <denironyx@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-12 17:30:02 UTC

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New package surreal with initial version 0.0.1
Package: surreal
Title: Create Datasets with Hidden Images in Residual Plots
Version: 0.0.1
Description: Implements the "Residual (Sur)Realism" algorithm described by Stefanski (2007) <doi:10.1198/000313007X190079> to generate datasets that reveal hidden images or messages in their residual plots. It offers both predefined datasets and tools to embed custom text or images into residual structures. Allowing users to create intriguing visual demonstrations for teaching model diagnostics.
License: GPL (>= 3)
Depends: R (>= 4.3.0)
Encoding: UTF-8
URL: https://github.com/coatless-rpkg/surreal, https://r-pkg.thecoatlessprofessor.com/surreal/
BugReports: https://github.com/coatless-rpkg/surreal/issues
LazyData: true
Imports: png
NeedsCompilation: no
Packaged: 2024-09-10 04:29:43 UTC; ronin
Author: James Joseph Balamuta [aut, cre, cph]
Maintainer: James Joseph Balamuta <james.balamuta@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-12 17:20:02 UTC

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New package splusTimeDate with initial version 2.5.8
Package: splusTimeDate
Version: 2.5.8
Title: Times and Dates from 'S-PLUS'
Depends: R (>= 2.12.0), methods, stats
Description: A collection of classes and methods for working with times and dates. The code was originally available in 'S-PLUS'.
License: BSD_3_clause + file LICENSE
URL: https://github.com/spkaluzny/splusTimeDate
BugReports: https://github.com/spkaluzny/splusTimeDate/issues
NeedsCompilation: yes
Packaged: 2024-09-09 23:30:48 UTC; spk
Author: Stephen Kaluzny [aut, cre], TIBCO Software Inc. [aut, cph]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-12 17:20:05 UTC

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New package noegletalR with initial version 0.2.1
Package: noegletalR
Title: Tidy Tibbles of Noegletal
Version: 0.2.1
Description: Work with data from <https://noegletal.dk> in a tidy manner. Tidy up previously downloaded data or retrieve new data directly from the comfort of R. You can also browse an up-to-date list of available data, including thorough variable descriptions.
License: MIT + file LICENSE
Imports: dplyr, httr, readr, rlang, rvest, stringr, tibble, tidyr
Encoding: UTF-8
URL: https://github.com/FrLars21/noegletalR
BugReports: https://github.com/FrLars21/noegletalR/issues
NeedsCompilation: no
Packaged: 2024-09-10 09:25:03 UTC; frederik
Author: Frederik Larsen [aut, cre, cph]
Maintainer: Frederik Larsen <frlars21@student.aau.dk>
Repository: CRAN
Date/Publication: 2024-09-12 17:40:34 UTC

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New package MRG with initial version 0.2.14
Package: MRG
Title: Create Non-Confidential Multi-Resolution Grids
Version: 0.2.14
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>
Imports: magrittr, parallel, terra, sf, stars, plyr, dplyr, rlang, sjmisc, vardpoor, purrr, tidyr, tidyselect, methods
Suggests: ggplot2, patchwork, viridis, knitr, rmarkdown, giscoR, bookdown, units, ggforce, kableExtra
Description: Functionality for creating gridded data, respecting the confidentiality rules, such as a minimum number of units and dominance by one or more units in the grid cell. The functions also include the possibility for contextual suppression of data.
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Depends: R (>= 3.5.0)
LazyData: true
Packaged: 2024-09-10 07:39:55 UTC; skoiejo
Author: Jon Olav Skoien [aut, cre], Nicolas Lampach [aut]
Repository: CRAN
Date/Publication: 2024-09-12 17:40:59 UTC

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New package LPDynR with initial version 1.0.5
Package: LPDynR
Title: Land Productivity Dynamics Indicator
Version: 1.0.5
Description: It uses 'phenological' and productivity-related variables derived from time series of vegetation indexes, such as the Normalized Difference Vegetation Index, to assess ecosystem dynamics and change, which eventually might drive to land degradation. The final result of the Land Productivity Dynamics indicator is a categorical map with 5 classes of land productivity dynamics, ranging from declining to increasing productivity. See www.sciencedirect.com/science/article/pii/S1470160X21010517/ for a description of the methods used in the package to calculate the indicator.
Depends: R (>= 3.6.0)
Imports: stats, dplyr, data.table, virtualspecies, magrittr, terra
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/xavi-rp/LPDynR
BugReports: https://github.com/xavi-rp/LPDynR/issues
NeedsCompilation: no
Packaged: 2024-09-10 10:36:06 UTC; xavi_rp
Author: Xavier Rotllan-Puig [aut, cre], Eva Ivits [aut], Michael Cherlet [aut]
Maintainer: Xavier Rotllan-Puig <xavier.rotllan.puig@aster-projects.cat>
Repository: CRAN
Date/Publication: 2024-09-12 17:41:07 UTC

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New package lavaangui with initial version 0.1.2
Package: lavaangui
Title: Graphical User Interface with Integrated 'Diagrammer' for 'Lavaan'
Version: 0.1.2
Description: Provides a graphical user interface with an integrated diagrammer for latent variables from the 'lavaan' package. It offers two core functions: first, lavaangui() launches a web application that allows users to specify models by drawing path diagrams, fitting them, assessing model fit, and more; second, plot_interactive() creates interactive path diagrams from models specified in 'lavaan'. Karch (2024) <doi: 10.31234/osf.io/f4ary> contains a tutorial.
URL: https://solo-fsw.shinyapps.io/lavaangui/, https://github.com/karchjd/lavaangui
BugReports: https://github.com/karchjd/lavaangui/issues
License: GPL (>= 3)
Imports: base64enc (>= 0.1.3), future (>= 1.33.0), haven (>= 2.5.3), jsonlite (>= 1.8.4), lavaan (>= 0.6.15), promises (>= 1.2.0.1), readr (>= 2.1.4), readxl (>= 1.4.3), shiny (>= 1.7.4), methods (>= 4.3.3), colorspace (>= 2.1.0), igraph (>= 2.0.3), qgraph (>= 1.9.8), tools (>= 4.3.3), utils (>= 4.3.3), DT (>= 0.33), plyr (>= 1.8.9), htmlwidgets (>= 1.6.4), digest (>= 0.6.35)
Encoding: UTF-8
Date: 2024-09-04
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-10 13:43:58 UTC; karch
Author: Julian D. Karch [aut, cre, cph]
Maintainer: Julian D. Karch <j.d.karch@fsw.leidenuniv.nl>
Repository: CRAN
Date/Publication: 2024-09-12 17:50:06 UTC

More information about lavaangui at CRAN
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New package corbouli with initial version 0.1.0
Package: corbouli
Title: Corbae-Ouliaris Frequency Domain Filtering
Version: 0.1.0
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>
Description: Corbae-Ouliaris frequency domain filtering. According to Corbae and Ouliaris (2006) <doi:10.1017/CBO9781139164863.008>, this is a solution for taking into account characteristics of the time series, like business cycles etc. when filtering, both stationary and non-stationary time series.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/cadam00/corbouli
BugReports: https://github.com/cadam00/corbouli/issues
LazyData: true
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-09-10 05:33:30 UTC; Administrator
Author: Christos Adam [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-12 17:30:09 UTC

More information about corbouli at CRAN
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New package fdicdata with initial version 0.1.1
Package: fdicdata
Title: Accessing FDIC Bank Data
Version: 0.1.1
Description: Retrieves financial data from Federal Deposit Insurance Corporation (FDIC)-insured institutions and provides access to the FDIC data taxonomy.
License: MIT + file LICENSE
URL: https://github.com/visbanking/fdicdata, https://visbanking.com/opensource/
BugReports: https://github.com/visbanking/fdicdata/issues
Imports: dplyr, httr, yaml
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-12 00:22:05 UTC; ugurdar
Author: Ugur Dar [aut, cre], Brian Pillmore [aut, cph]
Maintainer: Ugur Dar <ugurdarr@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-12 16:10:06 UTC

More information about fdicdata at CRAN
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New package fastplyr with initial version 0.1.0
Package: fastplyr
Title: Fast Alternatives to 'tidyverse' Functions
Version: 0.1.0
Description: A full set of fast data manipulation tools with a tidy front-end and a fast back-end using 'collapse' and 'cheapr'.
License: MIT + file LICENSE
Depends: R (>= 3.6.1)
Imports: cheapr (>= 0.9.3), collapse (>= 2.0.0), dplyr (>= 1.1.0), magrittr, rlang, stringr, tidyselect, vctrs (>= 0.6.0)
Suggests: nycflights13, testthat (>= 3.0.0), tidyr
LinkingTo: cpp11
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-09-09 15:26:36 UTC; Nmc5
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-12 11:20:02 UTC

More information about fastplyr at CRAN
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New package cirls with initial version 0.3.1
Package: cirls
Title: Constrained Iteratively Reweighted Least Squares
Version: 0.3.1
Description: Routines to fit generalized linear models with constrained coefficients, along with inference on the coefficients. Designed to be used in conjunction with the base glm() function.
License: GPL (>= 3)
Encoding: UTF-8
Imports: quadprog, osqp, coneproj, TruncatedNormal, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/PierreMasselot/cirls
NeedsCompilation: no
Packaged: 2024-09-09 13:15:56 UTC; PierreMasselot
Author: Pierre Masselot [aut, cre, cph] , Antonio Gasparrini [aut]
Maintainer: Pierre Masselot <pierre.masselot@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2024-09-12 11:20:06 UTC

More information about cirls at CRAN
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New package inldata with initial version 1.2.7
Package: inldata
Title: Collection of Datasets for the USGS-INL Monitoring Networks
Version: 1.2.7
Description: A collection of analysis-ready datasets for the U.S. Geological Survey - Idaho National Laboratory (USGS-INL) groundwater and surface-water monitoring networks, administered by the USGS-INL Project Office in cooperation with the U.S. Department of Energy. The data collected from wells and surface-water stations at the Idaho National Laboratory and surrounding areas have been used to describe the effects of waste disposal on water contained in the eastern Snake River Plain aquifer, located in the southeastern part of Idaho, and the availability of water for long-term consumptive and industrial use. The package includes long-term monitoring records dating back to measurements from 1922. Geospatial data describing the areas from which samples were collected or observations were made are also included in the package. Bundling this data into a single package significantly reduces the magnitude of data processing for researchers and provides a way to distribute the data along with its docume [...truncated...]
Depends: R (>= 4.1)
Imports: checkmate, sf, stats, stringi, terra, tools, utils
Suggests: archive, arrow, connectapi, covr, curl, dataRetrieval, DiagrammeR, DiagrammeRsvg, dm, fontawesome, htmltools, htmlwidgets, httr, inlcolor, jsonlite, knitr, pkgload, pkgbuild, pkgdown, plotrix, rappdirs, rcmdcheck, reactable, renv, rmarkdown, roxygen2, rsconnect, tinytest, V8, webmap, writexl, xml2
License: CC0
URL: https://rconnect.usgs.gov/INLPO/inldata-main/, https://code.usgs.gov/inl/inldata
BugReports: https://code.usgs.gov/inl/inldata/-/issues
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey (USGS), an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits
Encoding: UTF-8
SystemRequirements: libcurl4-openssl-dev pandoc libarchive-dev libv8-dev (deb)
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-07-31 15:22:54 UTC; jfisher
Author: Jason C. Fisher [aut, cre] , Allison R. Trcka [aut] , Kerri C. Treinen [aut]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>
Repository: CRAN
Date/Publication: 2024-09-12 07:20:02 UTC

More information about inldata at CRAN
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Wed, 11 Sep 2024

New package NeuralEstimators with initial version 0.1.0
Package: NeuralEstimators
Title: Likelihood-Free Parameter Estimation using Neural Networks
Version: 0.1.0
Description: An 'R' interface to the 'Julia' package 'NeuralEstimators.jl'. The package facilitates the user-friendly development of neural point estimators, which are neural networks that map data to a point summary of the posterior distribution. These estimators are likelihood-free and amortised, in the sense that, after an initial setup cost, inference from observed data can be made in a fraction of the time required by conventional approaches; see Sainsbury-Dale, Zammit-Mangion, and Huser (2024) <doi:10.1080/00031305.2023.2249522> for further details and an accessible introduction. The package also enables the construction of neural networks that approximate the likelihood-to-evidence ratio in an amortised manner, allowing one to perform inference based on the likelihood function or the entire posterior distribution; see Zammit-Mangion, Sainsbury-Dale, and Huser (2024, Sec. 5.2) <doi:10.48550/arXiv.2404.12484>, and the references therein. The package accommodates any model for which [...truncated...]
Maintainer: Matthew Sainsbury-Dale <msainsburydale@gmail.com>
License: GPL (>= 2)
Encoding: UTF-8
Imports: JuliaConnectoR, magrittr
Suggests: dplyr, ggplot2, ggplotify, ggpubr, gridExtra, knitr, rmarkdown, markdown, testthat (>= 3.0.0)
SystemRequirements: Julia (>= 1.9)
NeedsCompilation: no
Packaged: 2024-09-06 23:09:30 UTC; matt
Author: Matthew Sainsbury-Dale [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-11 17:20:02 UTC

More information about NeuralEstimators at CRAN
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New package RMX with initial version 0.1-6
Package: RMX
Title: Rasch Models -- eXtensions
Version: 0.1-6
Date: 2024-09-07
Description: Extend Rasch and Item Response Theory (IRT) analyses by providing tools for post-processing the output from five major IRT packages (i.e., 'eRm', 'psychotools', 'ltm', 'mirt', and 'TAM'). The current version provides the plotPIccc() function, which extracts from the return object of the originating package all information required to draw an extended Person-Item-Map (PIccc), showing any combination of * category characteristic curves (CCCs), * threshold characteristic curves (TCCs), * item characteristic curves (ICCs), * category information functions (CIFs), * item information functions (IIFs), * test information function (TIF), and the * standard error curve (S.E.). for uni- and multidimensional models (as far as supported by each package). It allows for selecting dimensions, items, and categories to plot and offers numerous options to adapt the output. The return object contains all calculated values for further processing.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
Suggests: eRm, psychotools, ltm, mirt, TAM
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-07 15:47:05 UTC; aa
Author: Milica Kabic [aut], Rainer W. Alexandrowicz [aut, cre]
Maintainer: Rainer W. Alexandrowicz <rainer.alexandrowicz@aau.at>
Repository: CRAN
Date/Publication: 2024-09-11 16:20:06 UTC

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New package RJalaliDate with initial version 0.1.0
Package: RJalaliDate
Title: Handling Jalali Date (Persian / Solar Hijri)
Version: 0.1.0
Description: Jalali calendar, or solar Hijri, is calendar of Iran and Afghanistan (<https://en.wikipedia.org/wiki/Solar_Hijri_calendar>). This package is designed to working with Jalali date. For this purpose, It defines JalaliDate class that is similar to Date class.
License: GPL (>= 3)
Depends: R (>= 2.10)
Encoding: UTF-8
Imports: lubridate (>= 1.9.3), settings (>= 0.2.7), stringi (>= 1.8.3), stringr (>= 1.5.1)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-09 11:51:55 UTC; hosei
Author: Hosein Rabiee [aut, cre, cph]
Maintainer: Hosein Rabiee <hosein.rabiee@hotmail.com>
Repository: CRAN
Date/Publication: 2024-09-11 16:10:02 UTC

More information about RJalaliDate at CRAN
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New package modgo with initial version 1.0.1
Package: modgo
Title: Mock Data Generation
Version: 1.0.1
Date: 2024-08-21
Maintainer: Georgios Koliopanos <george.koliopanos@cardio-care.ch>
Description: Generation of synthetic data from a real dataset using the combination of rank normal inverse transformation with the calculation of correlation matrix <doi:10.1055/a-2048-7692>. Completely artificial data may be generated through the use of Generalized Lambda Distribution and Generalized Poisson Distribution <doi:10.1201/9781420038040>. Quantitative, binary, ordinal categorical, and survival data may be simulated. Functionalities are offered to generate synthetic data sets according to user's needs.
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Depends: R (>= 4.1)
Imports: ggplot2 (>= 3.4.0), patchwork (>= 1.1.2), wesanderson (>= 0.3.6.9000), Matrix (>= 1.6.1.1), ggcorrplot (>= 0.1.4.1), gridExtra (>= 2.3), psych (>= 2.2.9), GLDEX (>= 2.0.0.9.2), MASS (>= 7.3), gp (>= 1.0), stats, utils, survival
NeedsCompilation: no
Packaged: 2024-09-09 11:33:55 UTC; geokolcc
Author: Andreas Ziegler [aut], Francisco Miguel Echevarria [aut], Georgios Koliopanos [cre]
Repository: CRAN
Date/Publication: 2024-09-11 16:20:02 UTC

More information about modgo at CRAN
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New package GenoPop with initial version 0.9.3
Package: GenoPop
Title: Genotype Imputation and Population Genomics Efficiently from Variant Call Formatted (VCF) Files
Version: 0.9.3
Description: Tools for efficient processing of large, whole genome genotype data sets in variant call format (VCF). It includes several functions to calculate commonly used population genomic metrics and a method for reference panel free genotype imputation, which is described in the preprint Gurke & Mayer (2024) <doi:10.22541/au.172515591.10119928/v1>.
Date: 2024-09-09
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rsamtools, GenomicRanges, foreach, doParallel, parallel, missForest, IRanges
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-09 08:22:10 UTC; mick
Author: Marie Gurke [aut, cre]
Maintainer: Marie Gurke <margurke@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-11 16:10:06 UTC

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New package GenomicSig with initial version 0.1.0
Package: GenomicSig
Title: Computation of Genomic Signatures
Version: 0.1.0
Maintainer: Anu Sharma <anu.sharma@icar.gov.in>
Description: Genomic signatures represent unique features within a species' DNA, enabling the differentiation of species and offering broad applications across various fields. This package provides essential tools for calculating these specific signatures, streamlining the process for researchers and offering a comprehensive and time-saving solution for genomic analysis.The amino acid contents are identified based on the work published by Sandberg et al. (2003) <doi:10.1016/s0378-1119(03)00581-x> and Xiao et al. (2015) <doi:10.1093/bioinformatics/btv042>. The Average Mutual Information Profiles (AMIP) values are calculated based on the work of Bauer et al. (2008) <doi:10.1186/1471-2105-9-48>. The Chaos Game Representation (CGR) plot visualization was done based on the work of Deschavanne et al. (1999) <doi:10.1093/oxfordjournals.molbev.a026048> and Jeffrey et al. (1990) <doi:10.1093/nar/18.8.2163>. The GC content is calculated based on the work published by Nakabachi e [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: kaos, Biostrings, stats, entropy, seqinr
NeedsCompilation: no
Packaged: 2024-09-09 07:40:03 UTC; kabil
Author: Mailarlinga [aut], Shashi Bhushan Lal [aut], Anu Sharma [aut, cre], Dwijesh Chandra Mishra [aut], Sudhir Srivastava [aut], Sanjeev Kumar [aut], Girish Kumar Jha [aut], Sayanti Guha Majumdar [aut], Megha Garg [aut], Sharanbasappa [ctb], Kabilan S [ctb [...truncated...]
Repository: CRAN
Date/Publication: 2024-09-11 16:30:02 UTC

More information about GenomicSig at CRAN
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New package folda with initial version 0.1.0
Package: folda
Title: Forward Stepwise Discriminant Analysis with Pillai's Trace
Version: 0.1.0
Description: A novel forward stepwise discriminant analysis framework that integrates Pillai's trace with Uncorrelated Linear Discriminant Analysis (ULDA), providing an improvement over traditional stepwise LDA methods that rely on Wilks' Lambda. A stand-alone ULDA implementation is also provided, offering a more general solution than the one available in the 'MASS' package. It automatically handles missing values and provides visualization tools. For more details, see Wang (2024) <doi:10.48550/arXiv.2409.03136>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, grDevices, Rcpp, stats
URL: https://github.com/Moran79/folda, http://iamwangsiyu.com/folda/
BugReports: https://github.com/Moran79/folda/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-09-08 05:23:28 UTC; moran
Author: Siyu Wang [aut, cre, cph]
Maintainer: Siyu Wang <iamwangsiyu@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-11 16:40:02 UTC

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New package corpmetrics with initial version 1.0
Package: corpmetrics
Title: Tools for Valuation, Financial Metrics and Modeling in Corporate Finance
Version: 1.0
Date: 2024-09-08
Author: Pavlos Pantatosakis [aut, cre]
Maintainer: Pavlos Pantatosakis <pantatosakisp@yahoo.com>
Imports:
Depends: R (>= 4.0)
Description: Balance sheet and income statement metrics, investment analysis methods, valuation methods, loan amortization schedules, and Capital Asset Pricing Model.
License: GPL (>= 2)
NeedsCompilation: no
Repository: CRAN
Packaged: 2024-09-08 09:19:25 UTC; Pavlos Pantatosakis
Date/Publication: 2024-09-11 17:00:02 UTC

More information about corpmetrics at CRAN
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New package survSAKK with initial version 1.3.1
Package: survSAKK
Title: Create Publication Ready Kaplan-Meier Plots
Version: 1.3.1
Description: Incorporate various statistics and layout customization options to enhance the efficiency and adaptability of the Kaplan-Meier plots.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://sakk-statistics.github.io/survSAKK/
BugReports: https://github.com/SAKK-Statistics/survSAKK/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: graphics, grDevices, survival
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-09 06:41:58 UTC; vithersans
Author: Vithersan Somasundaram [aut], Katrin Gysel [cre, ctb], Stefanie Hayoz [ctb], SAKK, CC [cph, fnd], SCTO, Statistics [fnd]
Maintainer: Katrin Gysel <Katrin.Gysel@sakk.ch>
Repository: CRAN
Date/Publication: 2024-09-11 15:20:02 UTC

More information about survSAKK at CRAN
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New package resquin with initial version 0.0.2
Package: resquin
Title: Response Quality Indicators for Survey Research
Version: 0.0.2
Description: Calculate common survey data quality indicators for multi-item scales and matrix questions. Currently supports the calculation of response style indicators and response distribution indicators. For an overview on response quality indicators see Bhaktha N, Henning S, Clemens L (2024). 'Characterizing response quality in surveys with multi-item scales: A unified framework' <https://osf.io/9gs67/>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: cli, purrr, vctrs
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/MatRoth/resquin, https://matroth.github.io/resquin/
BugReports: https://github.com/MatRoth/resquin/issues
NeedsCompilation: no
Packaged: 2024-09-09 06:46:26 UTC; rothms
Author: Matthias Roth [aut, cre, cph] , Nivedita Bhaktha [aut, ctb], Matthias Bluemke [aut, ctb], Thomas Knopf [aut, ctb], Fabienne Kraemer [aut, ctb], Clemens Lechner [aut, ctb], Cagla Yildiz [aut, ctb]
Maintainer: Matthias Roth <matthias.roth@gesis.org>
Repository: CRAN
Date/Publication: 2024-09-11 15:10:02 UTC

More information about resquin at CRAN
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New package AquaAnalytix with initial version 0.1.0
Package: AquaAnalytix
Title: Water Quality Analysis
Version: 0.1.0
Maintainer: Tanuj Misra <tanujmisra102@gmail.com>
Description: A varied array of mathematical derivations from various titrimetric and colorimetric methods for analyzing water quality parameters were condensed and integrated for the better physicochemical analysis. It is indispensable for managing any aquatic ecosystem, including aquaculture facilities. By substituting titrant and spectrophotometric absorbance readings, accurate determination of the concentrations of critical parameters such as Dissolved Oxygen, Free Carbon Dioxide, Total Alkalinity, Water Hardness, Hydrogen Sulfide, Total Ammonia Nitrogen, Nitrite, Nitrate, Chlorinity, Salinity, Inorganic Phosphate, and Transparency can be facilitated APHA(2017,ISBN:9780875532875).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-09 10:00:10 UTC; PC
Author: Ganesh Kumar [aut, ctb, cph], Tanuj Misra [aut, cre, ctb, cph], Sudhanshu Raman [aut, ctb, cph], Girija Saurabh Behere [aut, ctb, cph], Anuj Tyagi [aut, ctb, cph], Abhishek Srivastava [aut, ctb, cph], Priyadharsini [aut, ctb, cph]
Repository: CRAN
Date/Publication: 2024-09-11 15:20:06 UTC

More information about AquaAnalytix at CRAN
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New package dycdtools with initial version 0.4.4
Package: dycdtools
Title: Calibration Assistant and Post-Processing Tool for Aquatic Ecosystem Model DYRESM-CAEDYM
Version: 0.4.4
Description: Dynamic Reservoir Simulation Model (DYRESM) and Computational Aquatic Ecosystem Dynamics Model (CAEDYM) model development, including assisting with calibrating selected model parameters and visualising model output through time series plot, profile plot, contour plot, and scatter plot. For more details, see Yu et al. (2023) <https://journal.r-project.org/articles/RJ-2023-008/>.
URL: https://github.com/SongyanYu/dycdtools
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ncdf4, tidyr, ggplot2, RColorBrewer, lubridate, R.utils, parallel
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-08 22:11:46 UTC; s2974665
Author: Songyan Yu [aut, cre] , Christopher McBride [ctb], Marieke Frassl [ctb]
Maintainer: Songyan Yu <yusongyan1989@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-11 14:50:02 UTC

More information about dycdtools at CRAN
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New package arlclustering with initial version 1.0.5
Package: arlclustering
Title: Exploring Social Network Structures Through Friendship-Driven Community Detection with Association Rules Mining
Version: 1.0.5
Maintainer: Mohamed El-Moussaoui <med.elmoussaoui.ced@gmail.com>
Description: Implements an innovative approach to community detection in social networks using Association Rules Learning. The package provides tools for processing graph and rules objects, generating association rules, and detecting communities based on node interactions. Designed to facilitate advanced research in Social Network Analysis, this package leverages association rules learning for enhanced community detection. This approach is described in El-Moussaoui et al. (2021) <doi:10.1007/978-3-030-66840-2_3>.
License: GPL-3
URL: https://github.com/assuom44/arlclustering
BugReports: https://github.com/assuom44/arlclustering/issues
LazyLoad: false
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, tidyr
Imports: methods, igraph, arules, grDevices, graphics, stats
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-08 23:12:38 UTC; wadii
Author: Mohamed El-Moussaoui [aut, cre], Mohamed Hanine [aut], Ali Kartit [ths], Tarik Agouti [rev]
Repository: CRAN
Date/Publication: 2024-09-11 15:00:02 UTC

More information about arlclustering at CRAN
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New package easy.glmnet with initial version 1.0
Package: easy.glmnet
Title: Functions to Simplify the Use of 'glmnet' for Machine Learning
Version: 1.0
Date: 2024-09-06
Description: Provides several functions to simplify using the 'glmnet' package: converting data frames into matrices ready for 'glmnet'; b) imputing missing variables multiple times; c) fitting and applying prediction models straightforwardly; d) assigning observations to folds in a balanced way; e) cross-validate the models; f) selecting the most representative model across imputations and folds; and g) getting the relevance of the model regressors; as described in several publications: Solanes et al. (2022) <doi:10.1038/s41537-022-00309-w>, Palau et al. (2023) <doi:10.1016/j.rpsm.2023.01.001>, Sobregrau et al. (2024) <doi:10.1016/j.jpsychores.2024.111656>.
License: GPL-3
Imports: doParallel, foreach, glmnet, parallel, survival
Suggests: pROC
NeedsCompilation: no
Packaged: 2024-09-06 15:33:58 UTC; team
Author: Joaquim Radua [aut, cre]
Maintainer: Joaquim Radua <quimradua@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-11 12:50:02 UTC

More information about easy.glmnet at CRAN
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Tue, 10 Sep 2024

New package ContourFunctions with initial version 0.1.2
Package: ContourFunctions
Title: Create Contour Plots from Data or a Function
Version: 0.1.2
Description: Provides functions for making contour plots. The contour plot can be created from grid data, a function, or a data set. If non-grid data is given, then a Gaussian process is fit to the data and used to create the contour plot.
License: GPL-3
Imports: rlang
Depends: ggplot2, lhs, rmarkdown
Suggests: covr, knitr, laGP, locfit, mgcv, mlegp, testthat
VignetteBuilder: knitr
URL: https://github.com/CollinErickson/ContourFunctions
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-09 23:52:39 UTC; colli
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-10 15:00:12 UTC

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New package forestdata with initial version 0.1.0
Package: forestdata
Title: Download Forestry Data
Version: 0.1.0
Description: Functions for downloading forestry and land use data for use in spatial analysis. This packages offers a user-friendly solution to quickly obtain datasets such as forest height, forest types, tree species under various climate change scenarios, or land use data among others.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: rvest, sf, stringr, tibble, tidyr, dplyr, purrr, terra, stringi, rlang, archive, RODBC, foreign
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
URL: https://cidree.github.io/forestdata/
NeedsCompilation: no
Packaged: 2024-09-06 15:18:21 UTC; Cidre
Author: Adrian Cidre Gonzalez [aut, cre]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-10 10:10:02 UTC

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New package TUvalues with initial version 0.1.0
Package: TUvalues
Title: Tools for Calculating Allocations in Game Theory using Exact and Approximated Methods
Version: 0.1.0
Description: The main objective of cooperative games is to allocate a good among the agents involved. This package includes the most well-known allocation rules, i.e., the Shapley value, the Banzhaf value, the egalitarian rule, and the equal surplus division value. In addition, it considers the point of view of a priori unions (situations in which agents can form coalitions). For this purpose, the package includes the Owen value, the Banzhaf-Owen value, and the corresponding extensions of the egalitarian rules. All these values can be calculated exactly or estimated by sampling.
License: AGPL (>= 3)
Encoding: UTF-8
URL: https://github.com/mariaguilleng/TUvalues
BugReports: https://github.com/mariaguilleng/TUvalues/issues
Imports: utils, gtools
NeedsCompilation: no
Packaged: 2024-09-05 11:03:28 UTC; Master
Author: Maria D. Guillen [cre, aut] , Juan Carlos Goncalves [aut]
Maintainer: Maria D. Guillen <maria.guilleng@umh.es>
Repository: CRAN
Date/Publication: 2024-09-10 09:30:02 UTC

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New package ream with initial version 1.0-1
Package: ream
Title: Density, Distribution, and Sampling Functions for Evidence Accumulation Models
Version: 1.0-1
Description: Calculate the probability density functions (PDFs) for two threshold evidence accumulation models (EAMs). These are defined using the following Stochastic Differential Equation (SDE), dx(t) = v(x(t),t)*dt+D(x(t),t)*dW, where x(t) is the accumulated evidence at time t, v(x(t),t) is the drift rate, D(x(t),t) is the noise scale, and W is the standard Wiener process. The boundary conditions of this process are the upper and lower decision thresholds, represented by b_u(t) and b_l(t), respectively. Upper threshold b_u(t) > 0, while lower threshold b_l(t) < 0. The initial condition of this process x(0) = z where b_l(t) < z < b_u(t). We represent this as the relative start point w = z/(b_u(0)-b_l(0)), defined as a ratio of the initial threshold location. This package generates the PDF using the same approach as the 'python' package it is based upon, 'PyBEAM' by Murrow and Holmes (2023) <doi:10.3758/s13428-023-02162-w>. First, it converts the SDE model into the forwards Fokke [...truncated...]
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/RaphaelHartmann/ream
BugReports: https://github.com/RaphaelHartmann/ream/issues
NeedsCompilation: yes
Packaged: 2024-09-05 19:29:49 UTC; hartmann
Author: Raphael Hartmann [aut, cre] , Matthew Murrow [aut]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>
Repository: CRAN
Date/Publication: 2024-09-10 09:50:02 UTC

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New package outqrf with initial version 1.0.0
Package: outqrf
Title: Find the Outlier by Quantile Random Forests
Version: 1.0.0
Date: 2024-08-27
Author: Tengfei Xu [aut, cre]
Maintainer: Tengfei Xu <flystar233@gmail.com>
Description: Provides a method to find the outlier in custom data by quantile random forests method. Introduced by Meinshausen Nicolai (2006) <https://dl.acm.org/doi/10.5555/1248547.1248582>. It directly calls the ranger() function of the 'ranger' package to perform data fitting and prediction. We also implement the evaluation of outlier prediction results. Compared with random forest detection of outliers, this method has higher accuracy and stability on large datasets.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
Encoding: UTF-8
Packaged: 2024-09-05 01:55:47 UTC; lucian.xu
Imports: stats, ranger, dplyr, missRanger, ggpubr, ggplot2, tidyr
URL: https://github.com/flystar233/outqrf
BugReports: https://github.com/flystar233/outqrf/issues
Suggests: renv, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-09-10 09:10:02 UTC

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New package mpactr with initial version 0.1.0
Package: mpactr
Title: Correction of Preprocessed MS Data
Version: 0.1.0
Description: An 'R' implementation of the 'python' program Metabolomics Peak Analysis Computational Tool ('MPACT') (Robert M. Samples, Sara P. Puckett, and Marcy J. Balunas (2023) <doi:10.1021/acs.analchem.2c04632>). Filters in the package serve to address common errors in tandem mass spectrometry preprocessing, including: (1) isotopic patterns that are incorrectly split during preprocessing, (2) features present in solvent blanks due to carryover between samples, (3) features whose abundance is greater than user-defined abundance threshold in a specific group of samples, for example media blanks, (4) ions that are inconsistent between technical replicates, and (5) in-source fragment ions created during ionization before fragmentation in the tandem mass spectrometry workflow.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Depends: data.table, R (>= 4.1.0)
Imports: cli, ggplot2, R6, readr, stats, treemapify, viridis
LazyData: true
URL: https://mums2.github.io/mpactr/, https://github.com/mums2/mpactr
BugReports: https://github.com/mums2/mpactr/issues
NeedsCompilation: no
Packaged: 2024-09-05 20:36:10 UTC; masonar
Author: Allison Mason [aut] , Gregory Johnson [aut], Patrick Schloss [aut, cre, cph]
Maintainer: Patrick Schloss <pschloss@umich.edu>
Repository: CRAN
Date/Publication: 2024-09-10 10:00:02 UTC

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New package lulab.utils with initial version 0.0.2
Package: lulab.utils
Title: Supporting Functions Maintained by Zhen Lu
Version: 0.0.2
Description: Miscellaneous functions commonly used by LuLab. This package aims to help more researchers on epidemiology to perform data management and visualization more efficiently.
License: Artistic-2.0
URL: https://leslie-lu.github.io/
BugReports: https://github.com/Leslie-Lu/lulab.utils/issues
Encoding: UTF-8
Imports: boot, car, descr, dplyr, magrittr, openxlsx, purrr, stringr, table1
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-06 07:57:04 UTC; luzh2
Author: Zhen Lu [aut, cre]
Maintainer: Zhen Lu <luzh29@mail2.sysu.edu.cn>
Repository: CRAN
Date/Publication: 2024-09-10 09:50:09 UTC

More information about lulab.utils at CRAN
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New package istat with initial version 1.0
Package: istat
Title: Download and Manipulate Data from Istat
Version: 1.0
Maintainer: Elena Gradi <elenaagradi@gmail.com>
Description: Download data from Istat (Italian Institute of Statistics) database, both old and new provider (respectively, <http://dati.istat.it/> and <https://esploradati.istat.it/databrowser/>). Additional functions for manipulating data are provided. Moreover, a 'shiny' application called 'shinyIstat' can be used to search, download and filter datasets in an easier way.
License: GPL (>= 2)
Encoding: UTF-8
Imports: datamods, DT, dplyr, ggplot2, htmltools, httr, magrittr, openxlsx, reactable, readxl, rsdmx, shiny, shinyBS, shinydashboard, shinyhelper, shinyjs, shinyWidgets, writexl
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-06 12:34:57 UTC; aliss
Author: Elena Gradi [aut, cre], Alissa Lelli [aut], Daniela Ichim [aut]
Repository: CRAN
Date/Publication: 2024-09-10 10:00:06 UTC

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New package interface with initial version 0.1.2
Package: interface
Title: Runtime Type System
Version: 0.1.2
URL: https://github.com/dereckmezquita/interface
Author: Dereck Mezquita [aut, cre]
Maintainer: Dereck Mezquita <dereck@mezquita.io>
Description: Provides a runtime type system, allowing users to define and implement interfaces, enums, typed data.frame/data.table, as well as typed functions. This package enables stricter type checking and validation, improving code structure, robustness and reliability.
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, box, rcmdcheck, data.table
NeedsCompilation: no
Packaged: 2024-09-05 03:38:54 UTC; work
Repository: CRAN
Date/Publication: 2024-09-10 09:10:05 UTC

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New package hmix with initial version 1.0.2
Package: hmix
Title: Hidden Markov Model for Predicting Time Sequences with Mixture Sampling
Version: 1.0.2
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>
Description: An algorithm for time series analysis that leverages hidden Markov models, cluster analysis, and mixture distributions to segment data, detect patterns and predict future sequences.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: normalp (>= 0.7.2), glogis (>= 1.0-2), gld (>= 2.6.6), edfun (>= 0.2.0), purrr (>= 1.0.1), HMM (>= 1.0.1), mc2d (>= 0.2.0), cubature (>= 2.1.0), dplyr (>= 1.1.2)
URL: https://rpubs.com/giancarlo_vercellino/hmix
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-09-05 16:08:50 UTC; gianc
Author: Giancarlo Vercellino [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-09-10 09:50:12 UTC

More information about hmix at CRAN
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New package ggfigdone with initial version 0.1.2
Package: ggfigdone
Title: Manage & Modify 'ggplot' Figures using 'ggfigdone'
Version: 0.1.2
Description: When you prepare a presentation or a report, you often need to manage a large number of 'ggplot' figures. You need to change the figure size, modify the title, label, themes, etc. It is inconvenient to go back to the original code to make these changes. This package provides a simple way to manage 'ggplot' figures. You can easily add the figure to the database and update them later using CLI (command line interface) or GUI (graphical user interface).
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: ggplot2, httpuv, httr, readr, jsonlite, uuid, filelock, data.table
Suggests: testthat (>= 3.0.0), knitr
BugReports: https://github.com/wenjie1991/ggfigdone/issues
NeedsCompilation: no
Packaged: 2024-09-06 12:52:17 UTC; wsun
Author: Wenjie SUN [aut, cre]
Maintainer: Wenjie SUN <sunwjie@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-10 10:00:10 UTC

More information about ggfigdone at CRAN
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New package EMC2 with initial version 2.0.2
Package: EMC2
Title: Bayesian Hierarchical Analysis of Cognitive Models of Choice
Version: 2.0.2
Description: Fit Bayesian (hierarchical) cognitive models using a linear modeling language interface using particle metropolis Markov chain Monte Carlo sampling with Gibbs steps. The diffusion decision model (DDM), linear ballistic accumulator model (LBA), racing diffusion model (RDM), and the lognormal race model (LNR) are supported. Additionally, users can specify their own likelihood function and/or choose for non-hierarchical estimation, as well as for a diagonal, blocked or full multivariate normal group-level distribution to test individual differences. Prior specification is facilitated through methods that visualize the (implied) prior. A wide range of plotting functions assist in assessing model convergence and posterior inference. Models can be easily evaluated using functions that plot posterior predictions or using relative model comparison metrics such as information criteria or Bayes factors. References: Stevenson et al. (2024) <doi:10.31234/osf.io/2e4dq>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), vdiffr
Imports: abind, coda, corpcor, graphics, grDevices, magic, MASS, matrixcalc, rtdists, methods, msm, mvtnorm, parallel, stats, Matrix, Rcpp, Brobdingnag, corrplot, colorspace, psych, utils, lpSolve
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-09-05 09:48:21 UTC; niek
Author: Niek Stevenson [aut, cre] , Michelle Donzallaz [aut], Andrew Heathcote [aut], Steven Miletic [ctb], Jochen Voss [ctb], Andreas Voss [ctb]
Maintainer: Niek Stevenson <niek.stevenson@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-10 09:30:09 UTC

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New package CTRing with initial version 0.1.0
Package: CTRing
Title: Density Profiles of Wood from CT Scan Images
Version: 0.1.0
Maintainer: Robert Schneider <robert_schneider@uqar.ca>
Description: Computerized tomography (CT) can be used to assess certain wood properties when wood disks or logs are scanned. Wood density profiles (i.e. variations of wood density from pith to bark) can yield important information used for studies in forest resource assessment, wood quality and dendrochronology studies. The first step consists in transforming grey values from the scan images to density values. The packages then proposes a unique method to automatically locate the pith by combining an adapted Hough Transform method and a one-dimensional edge detector. Tree ring profiles (average ring density, earlywood and latewood density, ring width and percent latewood for each ring) are then obtained.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: xRing, functional, oro.dicom
NeedsCompilation: no
Packaged: 2024-09-05 14:23:04 UTC; schnro01
Author: Dipak Mahatara [aut], Robert Schneider [cre, aut]
Repository: CRAN
Date/Publication: 2024-09-10 09:40:07 UTC

More information about CTRing at CRAN
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New package charcuterie with initial version 0.0.3
Package: charcuterie
Title: Handle Strings as Vectors of Characters
Version: 0.0.3
Description: Creates a new chars class which looks like a string but is actually a vector of individual characters, making 'strings' iterable. This class enables vector operations on 'strings' such as reverse, sort, head, and set operations.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: generics, utils
URL: https://github.com/jonocarroll/charcuterie, https://jonocarroll.github.io/charcuterie/
BugReports: https://github.com/jonocarroll/charcuterie/issues
NeedsCompilation: no
Packaged: 2024-09-06 12:40:08 UTC; jono
Author: Jonathan Carroll [aut, cre]
Maintainer: Jonathan Carroll <rpkg@jcarroll.com.au>
Repository: CRAN
Date/Publication: 2024-09-10 10:00:14 UTC

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New package ATE.ERROR with initial version 1.0.0
Package: ATE.ERROR
Title: Estimating ATE with Misclassified Outcomes and Mismeasured Covariates
Version: 1.0.0
Description: Addressing measurement error in covariates and misclassification in binary outcome variables within causal inference, the 'ATE.ERROR' package implements inverse probability weighted estimation methods proposed by Shu and Yi (2017, <doi:10.1177/0962280217743777>; 2019, <doi:10.1002/sim.8073>). These methods correct errors to accurately estimate average treatment effects (ATE). The package includes two main functions: ATE.ERROR.Y() for handling misclassification in the outcome variable and ATE.ERROR.XY() for correcting both outcome misclassification and covariate measurement error. It employs logistic regression for treatment assignment and uses bootstrap sampling to calculate standard errors and confidence intervals, with simulated datasets provided for practical demonstration.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-05 02:37:25 UTC; rezanejad
Imports: ggplot2, MASS, mvtnorm, rlang, stats
Author: Aryan Rezanezhad [aut, cre], Grace Y. Yi [aut]
Maintainer: Aryan Rezanezhad <Aryan.rzn@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-10 09:10:10 UTC

More information about ATE.ERROR at CRAN
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New package uni.shrinkage with initial version 1.0.0
Package: uni.shrinkage
Title: Shrinkage Estimation for Univariate Normal Mean
Version: 1.0.0
Maintainer: Nanami Taketomi <nnmamikrn@gmail.com>
Description: Implement a shrinkage estimation for the univariate normal mean based on a preliminary test (pretest) estimator. This package also provides the confidence interval based on pivoting the cumulative density function. The methodologies are published in Taketomi et al.(2024) <doi:10.1007/s42081-023-00221-2> and Taketomi et al.(2024-)(under review).
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-04 08:34:12 UTC; User
Author: Nanami Taketomi [aut, cre], Jia-Han Shih [aut], Takeshi Emura [aut]
Repository: CRAN
Date/Publication: 2024-09-10 09:00:02 UTC

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Mon, 09 Sep 2024

New package tidytuesdayR with initial version 1.1.2
Package: tidytuesdayR
Title: Access the Weekly 'TidyTuesday' Project Dataset
Version: 1.1.2
Description: 'TidyTuesday' is a project by the 'Data Science Learning Community' in which they post a weekly dataset in a public data repository (<https://github.com/rfordatascience/tidytuesday>) for people to analyze and visualize. This package provides the tools to easily download this data and the description of the source.
License: MIT + file LICENSE
URL: https://dslc-io.github.io/tidytuesdayR/, https://github.com/dslc-io/tidytuesdayR
BugReports: https://github.com/dslc-io/tidytuesdayR/issues
Depends: R (>= 3.5.0)
Imports: cli, gh, glue, jsonlite, lubridate (>= 1.7.0), magrittr, purrr (>= 1.0.0), readr (>= 1.0.0), rlang, rvest (>= 0.3.2), tidyr, tools (>= 3.1.0), usethis, xml2 (>= 1.2.0)
Suggests: covr, pkgdown, readxl (>= 1.0.0), rstudioapi (>= 0.2), stringr, testthat (>= 3.0.0), tibble, withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-09 12:00:57 UTC; jonth
Author: Jon Harmon [aut, cre] , Ellis Hughes [aut], Thomas Mock [ctb], Data Science Learning Community [dtc]
Maintainer: Jon Harmon <jonthegeek@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-09 12:40:03 UTC

More information about tidytuesdayR at CRAN
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New package mwcsr with initial version 0.1.9
Package: mwcsr
Title: Solvers for Maximum Weight Connected Subgraph Problem and Its Variants
Version: 0.1.9
Description: Algorithms for solving various Maximum Weight Connected Subgraph Problems, including variants with budget constraints, cardinality constraints, weighted edges and signals. The package represents an R interface to high-efficient solvers based on relax-and-cut approach (Álvarez-Miranda E., Sinnl M. (2017) <doi:10.1016/j.cor.2017.05.015>) mixed-integer programming (Loboda A., Artyomov M., and Sergushichev A. (2016) <doi:10.1007/978-3-319-43681-4_17>) and simulated annealing.
Depends: R (>= 3.5)
Imports: methods, igraph, Rcpp
Suggests: knitr, rmarkdown, mathjaxr, testthat, BioNet, roxygen2, DLBCL
SystemRequirements: Java (>=8)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/ctlab/mwcsr
BugReports: https://github.com/ctlab/mwcsr/issues
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-09-08 19:27:21 UTC; aloboda
Author: Alexander Loboda [aut, cre], Nikolay Poperechnyi [aut], Eduardo Alvarez-Miranda [aut], Markus Sinnl [aut], Alexey Sergushichev [aut], Paul Hosler Jr. [cph] , www.hamcrest.org [cph] , Barak Naveh and Contributors [cph] , The Apache Software Foundation [...truncated...]
Maintainer: Alexander Loboda <aleks.loboda@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-09 11:30:10 UTC

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New package RefBasedMI with initial version 0.2.0
Package: RefBasedMI
Title: Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation
Version: 0.2.0
Description: Imputation of missing numerical outcomes for a longitudinal trial with protocol deviations. The package uses distinct treatment arm-based assumptions for the unobserved data, following the general algorithm of Carpenter, Roger, and Kenward (2013) <doi:10.1080/10543406.2013.834911>, and the causal model of White, Royes and Best (2020) <doi:10.1080/10543406.2019.1684308>. Sensitivity analyses to departures from these assumptions can be done by the Delta method of Roger. The program uses the same algorithm as the 'mimix' 'Stata' package written by Suzie Cro, with additional coding for the causal model and delta method. The reference-based methods are jump to reference (J2R), copy increments in reference (CIR), copy reference (CR), and the causal model, all of which must specify the reference treatment arm. Other methods are missing at random (MAR) and the last mean carried forward (LMCF). Individual-specific imputation methods (and their reference groups) can be specified.
URL: https://github.com/UCL/RefBasedMI
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: data.table, Hmisc, mice, pastecs, assertthat
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2024-09-04 10:17:04 UTC; rmjlmqu
Author: Kevin McGrath [aut], Matteo Quartagno [cre]
Maintainer: Matteo Quartagno <m.quartagno@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2024-09-09 09:10:01 UTC

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New package PoweREST with initial version 0.1.0
Package: PoweREST
Title: A Bootstrap-Based Power Estimation Tool for Spatial Transcriptomics
Version: 0.1.0
Imports: scam, Seurat, dplyr, plotly, resample, xgboost, magrittr, rayshader, ggplot2
Suggests: patchwork, boot, knitr, rmarkdown, fields, rayrender, tidyr
Description: Power estimation and sample size calculation for 10X Visium Spatial Transcriptomics data to detect differential expressed genes between two conditions based on bootstrap resampling. See Shui et al. (2024) <doi:10.1101/2024.08.30.610564> for method details.
Encoding: UTF-8
VignetteBuilder: knitr
License: MIT + file LICENSE
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-04 13:17:57 UTC; shuilan
Author: Lan Shui [aut, cre]
Maintainer: Lan Shui <Lan.Shui@uth.tmc.edu>
Repository: CRAN
Date/Publication: 2024-09-09 09:30:02 UTC

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New package handwriterApp with initial version 1.0.1
Package: handwriterApp
Title: A 'shiny' Application for Handwriting Analysis
Version: 1.0.1
Description: Perform statistical writership analysis of scanned handwritten documents with a 'shiny' app for 'handwriter'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: bslib, dplyr, handwriter, magick, magrittr, rmarkdown, shiny, shinycssloaders, shinyFiles, shinyjs, stringr, tidyr
Suggests: testthat (>= 3.0.0)
URL: https://github.com/CSAFE-ISU/handwriterApp
BugReports: https://github.com/CSAFE-ISU/handwriterApp/issues
NeedsCompilation: no
Packaged: 2024-09-04 14:36:48 UTC; stephanie
Author: Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Stephanie Reinders [aut, cre]
Maintainer: Stephanie Reinders <srein@iastate.edu>
Repository: CRAN
Date/Publication: 2024-09-09 09:50:02 UTC

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New package gdverse with initial version 1.0.0
Package: gdverse
Title: Geographical Detector Models
Version: 1.0.0
Description: Analyzing spatial factors and exploring spatial associations based on the concept of spatial stratified heterogeneity, and also takes into account local spatial dependencies, spatial interpretability, potential spatial interactions, and robust spatial stratification. Additionally, it supports geographical detector models established in academic literature.
License: GPL-3
Encoding: UTF-8
Language: en-US
URL: https://ausgis.github.io/gdverse/, https://github.com/ausgis/gdverse
BugReports: https://github.com/ausgis/gdverse/issues
Depends: R (>= 4.1.0)
Imports: classInt, dplyr, forcats, geosphere, ggplot2, magrittr, parallel, patchwork, purrr, reticulate, rpart, scatterpie, sf, spdep, stats, tibble, tidyr, utils
Suggests: cowplot, knitr, PieGlyph, Rcpp, Rdimtools, rmarkdown, terra, testthat (>= 3.0.0), tidyverse
LinkingTo: Rcpp
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-09-04 16:29:35 UTC; dell
Author: Wenbo Lv [aut, cre, cph] , Yangyang Lei [aut] , Yongze Song [aut] , Wufan Zhao [aut] , Jianwu Yan [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-09 10:00:03 UTC

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New package anoint with initial version 1.5
Package: anoint
Title: Analysis of Interactions
Version: 1.5
Date: 2024-09-04
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Description: The tools in this package are intended to help researchers assess multiple treatment-covariate interactions with data from a parallel-group randomized controlled clinical trial. The methods implemented in the package were proposed in Kovalchik, Varadhan and Weiss (2013) <doi: 10.1002/sim.5881>.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 2.13.0), stats, survival, MASS, graphics, grid
Imports: methods, glmnet
NeedsCompilation: no
Packaged: 2024-09-04 15:07:59 UTC; raviv
Repository: CRAN
Author: Ravi Varadhan [aut, cre], Stephanie Kovalchik [aut], Leon Wang [ctb]
Date/Publication: 2024-09-09 10:00:09 UTC

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New package vachette with initial version 0.40.0
Package: vachette
Title: A Method for Visualization of Pharmacometric Models
Version: 0.40.0
Description: A method to visualize pharmacometric analyses which are impacted by covariate effects. Variability-aligned covariate harmonized-effects and time-transformation equivalent ('vachette') facilitates intuitive overlays of data and model predictions, allowing for comprehensive comparison without dilution effects. 'vachette' improves upon previous methods Lommerse et al. (2021) <doi:10.1002/psp4.12679>, enabling its application to all pharmacometric models and enhancing Visual Predictive Checks (VPC) by integrating data into cohesive plots that can highlight model misspecification.
URL: https://github.com/certara/vachette
BugReports: https://github.com/certara/vachette/issues
Depends: R (>= 4.0)
License: LGPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, mrgsolve, tidyvpc, testthat (>= 3.0.0), learnr
Imports: ggplot2, tidyr, dplyr, magrittr, prospectr, Hmisc, purrr, minpack.lm, progress, rlang, utils, photobiology
NeedsCompilation: no
Packaged: 2024-09-04 03:31:27 UTC; jcraig
Author: Jos Lommerse [aut], Anna Largajolli [aut], James Craig [aut, cre], Nele Mueller-Plock [ctb], Jeff Sachs [ctb], Amy Cheung [ctb], Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2024-09-09 08:50:02 UTC

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New package pedtricks with initial version 0.4.2
Package: pedtricks
Title: Visualize, Summarize and Simulate Data from Pedigrees
Version: 0.4.2
Description: Sensitivity and power analysis, for calculating statistics describing pedigrees from wild populations, and for visualizing pedigrees.
URL: https://juliengamartin.github.io/pedtricks/
BugReports: https://github.com/JulienGAMartin/pedtricks/issues
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyLoad: yes
Depends: R (>= 4.0)
Imports: ggplot2, dplyr, kinship2, tidyr, Matrix, mvtnorm, MCMCglmm, nadiv, genetics, methods, igraph
NeedsCompilation: no
Packaged: 2024-09-04 00:28:02 UTC; julien
Author: Julien Martin [aut, cre] , Matthew Wolak [aut] , Susan Johnston [aut] , Michael Morrissey [aut]
Maintainer: Julien Martin <julien.martin@uottawa.ca>
Repository: CRAN
Date/Publication: 2024-09-09 08:50:06 UTC

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New package lab2clean with initial version 1.0.0
Package: lab2clean
Title: Automation and Standardization of Cleaning Clinical Lab Data
Version: 1.0.0
Description: Navigating the shift of clinical laboratory data from primary everyday clinical use to secondary research purposes presents a significant challenge. Given the substantial time and expertise required for lab data pre-processing and cleaning and the lack of all-in-one tools tailored for this need, we developed our algorithm 'lab2clean' as an open-source R-package. 'lab2clean' package is set to automate and standardize the intricate process of cleaning clinical laboratory results. With a keen focus on improving the data quality of laboratory result values, our goal is to equip researchers with a straightforward, plug-and-play tool, making it smoother for them to unlock the true potential of clinical laboratory data in clinical research and clinical machine learning (ML) model development. Version 1.0 of the algorithm is described in detail in 'Zayed et al. (2024)' <doi:10.1186/s12911-024-02652-7>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table, stats, utils
Suggests: knitr, rmarkdown, printr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-04 05:57:23 UTC; u0148644
Author: Ahmed Zayed [aut, cre] , Arne Janssens [aut, ctb], Pavlos Mamouris [ctb]
Maintainer: Ahmed Zayed <ahmed.zayed@kuleuven.be>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-09-09 09:00:02 UTC

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New package FuzzyImputationTest with initial version 0.2.0
Package: FuzzyImputationTest
Title: Imputation Procedures and Quality Tests for Fuzzy Data
Version: 0.2.0
Description: Special procedures for the imputation of missing fuzzy numbers are still underdeveloped. The goal of the package is to provide the new d-imputation method (DIMP for short, Romaniuk, M. and Grzegorzewski, P. "Fuzzy Data Imputation with DIMP and FGAIN" RB/23/2023 (2023)) and covert some classical ones applied in R packages ('missForest','miceRanger','knn') for use with fuzzy datasets. Additionally, specially tailored benchmarking tests are provided to check and compare these imputation procedures with fuzzy datasets.
License: GPL-3
NeedsCompilation: yes
Imports: stats, methods, FuzzySimRes, FuzzyNumbers, missForest, miceRanger, VIM
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
Packaged: 2024-09-04 06:53:46 UTC; mroman
Author: Maciej Romaniuk [cre, aut]
Maintainer: Maciej Romaniuk <mroman@ibspan.waw.pl>
Repository: CRAN
Date/Publication: 2024-09-09 09:00:05 UTC

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Sat, 07 Sep 2024

New package fntl with initial version 0.1.1
Package: fntl
Title: Numerical Tools for 'Rcpp' and Lambda Functions
Version: 0.1.1
Description: Provides a 'C++' API for routinely used numerical tools such as integration, root-finding, and optimization, where function arguments are given as lambdas. This facilitates 'Rcpp' programming, enabling the development of 'R'-like code in 'C++' where functions can be defined on the fly and use variables in the surrounding environment.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/andrewraim/fntl
Depends: R (>= 4.3)
Suggests: knitr, numDeriv, rmarkdown, quarto, tidyverse, tinytest
LinkingTo: Rcpp
Imports: Rcpp
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2024-09-03 13:42:58 UTC; araim
Author: Andrew M. Raim [aut, cre]
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-07 09:10:02 UTC

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Fri, 06 Sep 2024

New package bayesianVARs with initial version 0.1.4
Package: bayesianVARs
Title: MCMC Estimation of Bayesian Vectorautoregressions
Version: 0.1.4
Description: Efficient Markov Chain Monte Carlo (MCMC) algorithms for the fully Bayesian estimation of vectorautoregressions (VARs) featuring stochastic volatility (SV). Implements state-of-the-art shrinkage priors following Gruber & Kastner (2023) <doi:10.48550/arXiv.2206.04902>. Efficient equation-per-equation estimation following Kastner & Huber (2020) <doi:10.1002/for.2680> and Carrerio et al. (2021) <doi:10.1016/j.jeconom.2021.11.010>.
License: GPL (>= 3)
URL: https://github.com/luisgruber/bayesianVARs, https://luisgruber.github.io/bayesianVARs/
BugReports: https://github.com/luisgruber/bayesianVARs/issues
Depends: R (>= 3.3.0)
Imports: colorspace, factorstochvol (>= 1.1.0), GIGrvg (>= 0.7), graphics, MASS, mvtnorm, Rcpp (>= 1.0.0), scales, stats, stochvol (>= 3.0.3), utils
Suggests: coda, knitr, rmarkdown, testthat (>= 3.0.0)
LinkingTo: factorstochvol, Rcpp, RcppArmadillo, RcppProgress, stochvol
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-09-05 18:48:30 UTC; lugruber
Author: Luis Gruber [cph, aut, cre] , Gregor Kastner [ctb]
Maintainer: Luis Gruber <Luis.Gruber@aau.at>
Repository: CRAN
Date/Publication: 2024-09-06 15:00:06 UTC

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Thu, 05 Sep 2024

New package twoStageDesignTMLE with initial version 1.0
Package: twoStageDesignTMLE
Title: Targeted Maximum Likelihood Estimation for Two-Stage Study Design
Version: 1.0
Author: Susan Gruber [aut, cre], Mark van der Laan [aut]
Maintainer: Susan Gruber <sgruber@TLrevolution.com>
Copyright: Copyright 2024. TL Revolution LLC. All Rights Reserved.
Description: An inverse probability of censoring weighted (IPCW) targeted maximum likelihood estimator (TMLE) for evaluating a marginal point treatment effect from data where some variables were collected on only a subset of participants using a two-stage design (or marginal mean outcome for a single arm study). A TMLE for conditional parameters defined by a marginal structural model (MSM) is also available.
Depends: tmle (>= 2.0)
Suggests: dbarts (>= 0.9-18), glmnet
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-03 16:58:22 UTC; susan
Repository: CRAN
Date/Publication: 2024-09-05 17:20:02 UTC

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New package pcvr with initial version 1.0.0
Package: pcvr
Title: Plant Phenotyping and Bayesian Statistics
Version: 1.0.0
Maintainer: Josh Sumner <jsumner@danforthcenter.org>
Description: Analyse common types of plant phenotyping data, provide a simplified interface to longitudinal growth modeling and select Bayesian statistics, and streamline use of 'PlantCV' output. Several Bayesian methods and reporting guidelines for Bayesian methods are described in Kruschke (2018) <doi:10.1177/2515245918771304>, Kruschke (2013) <doi:10.1037/a0029146>, and Kruschke (2021) <doi:10.1038/s41562-021-01177-7>.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
Additional_repositories: https://mc-stan.org/r-packages/
Imports: FactoMineR, rlang, stats, utils, methods, data.table, ggplot2, ggridges, igraph, jsonlite, lme4, patchwork, extraDistr, parallel, bayestestR, viridis, mgcv, quantreg, nlme, splines, lmeSplines, scales, survival, car
Suggests: knitr, rmarkdown, brms, flexsurv, curl, cmdstanr, rstan, caret, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/danforthcenter/pcvr, https://plantcv.org/, https://danforthcenter.github.io/pcvr/
BugReports: https://github.com/danforthcenter/pcvr/issues
NeedsCompilation: no
Packaged: 2024-09-03 19:54:03 UTC; josh
Author: Josh Sumner [aut, cre] , Jeffrey Berry [aut] , Noah Fahlgren [rev] , Donald Danforth Plant Science Center [cph]
Repository: CRAN
Date/Publication: 2024-09-05 17:30:02 UTC

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New package mmints with initial version 0.1.0
Package: mmints
Title: Workflows for Building Web Applications
Version: 0.1.0
Description: Sharing statistical methods or simulation frameworks through 'shiny' applications often requires workflows for handling data. To help save and display simulation results, the postgresUI() and postgresServer() functions in 'mmints' help with persistent data storage using a 'PostgreSQL' database. The 'mmints' package also offers data upload functionality through the csvUploadUI() and csvUploadServer() functions which allow users to upload data, view variables and their types, and edit variable types before fitting statistical models within the 'shiny' application. These tools aim to enhance efficiency and user interaction in 'shiny' based statistical and simulation applications.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/mightymetrika/mmints
BugReports: https://github.com/mightymetrika/mmints/issues
Suggests: testthat (>= 3.0.0)
Imports: DT, pool, RPostgres, shiny
NeedsCompilation: no
Packaged: 2024-09-03 20:55:11 UTC; Administrator
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-05 17:30:06 UTC

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New package hdar with initial version 1.0.0
Package: hdar
Title: 'REST' API Client for Accessing Data on 'WEkEO HDA V2'
Version: 1.0.0
URL: https://www.wekeo.eu/
BugReports: https://github.com/eea/hdar/issues
Maintainer: Matteo Mattiuzzi <matteo@mattiuzzi.com>
Description: Provides seamless access to the WEkEO Harmonised Data Access (HDA) API, enabling users to query, download, and process data efficiently from the HDA platform. With 'hdar', researchers and data scientists can integrate the extensive HDA datasets into their R workflows, enhancing their data analysis capabilities. Comprehensive information on the API functionality and usage is available at <https://gateway.prod.wekeo2.eu/hda-broker/docs>.
License: EUPL (>= 1.2)
Encoding: UTF-8
Imports: R6, httr2, jsonlite, magrittr, htmltools, stringr, humanize
Depends: R (>= 2.10),
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-03 18:49:45 UTC; Mattiuzzi
Author: Matteo Mattiuzzi [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-05 17:30:10 UTC

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New package ggvolcano with initial version 0.1.3
Package: ggvolcano
Title: Publication-Ready Volcano Plots
Version: 0.1.3
Description: Provides publication-ready volcano plots for visualizing differential expression results, commonly used in RNA-seq and similar analyses. This tool helps create high-quality visual representations of data using the 'ggplot2' framework Wickham (2016) <doi:10.1007/978-3-319-24277-4>.
License: MIT + file LICENSE
Imports: config (>= 0.3.2), ggplot2, ggrepel, golem (>= 0.4.1), shiny (>= 1.8.1.1)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-03 15:14:54 UTC; bach
Author: Yaoxiang Li [cre, aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2024-09-05 17:10:02 UTC

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New package geoidep with initial version 0.1.0
Package: geoidep
Title: Download Geographic Data on Various Topics Provided and Managed by the Spatial Data Infrastructure of Peru
Version: 0.1.0
Description: Provides R users with easy access to official cartographic data from Peru across a range of topics, including society, transport, environment, agriculture, climate, and more. It also includes data from regional government entities and technical-scientific institutions, all managed by Peru's Spatial Data Infrastructure. For more information, please visit: <https://www.geoidep.gob.pe/catalogos-de-metadatos>.
License: Apache License (>= 2)
URL: https://geografo.pe/geoidep/
BugReports: https://github.com/ambarja/geoidep/issues
Imports: httr, sf, archive
Encoding: UTF-8
Suggests: knitr, rmarkdown, ggplot2, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-03 17:50:53 UTC; USER
Author: antony barja [aut, cre, cph]
Maintainer: antony barja <geografo.pe@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-05 17:20:05 UTC

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New package flowmapblue with initial version 0.0.2
Package: flowmapblue
Title: Flow Map Rendering
Version: 0.0.2
Description: Create interactive flow maps using 'FlowmapBlue' 'TypeScript' library <https://github.com/FlowmapBlue/FlowmapBlue>, which is a free tool for representing aggregated numbers of movements between geographic locations as flow maps. It is used to visualize urban mobility, commuting behavior, bus, subway and air travels, bicycle sharing, human and bird migration, refugee flows, freight transportation, trade, supply chains, scientific collaboration, epidemiological and historical data and many other topics. The package allows to either create standalone flow maps in form of 'htmlwidgets' and save them in 'HTML' files, or integrate flow maps into 'Shiny' applications.
License: MIT + file LICENSE
URL: https://github.com/FlowmapBlue/flowmapblue.R, https://flowmapblue.github.io/flowmapblue.R/
BugReports: https://github.com/FlowmapBlue/flowmapblue.R/issues
Depends: R (>= 2.10)
Imports: htmlwidgets
Suggests: quarto
VignetteBuilder: quarto
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-03 17:01:04 UTC; ek
Author: Ilya Boyandin [aut, cph] , Egor Kotov [cre]
Maintainer: Egor Kotov <kotov.egor@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-05 17:20:08 UTC

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New package ssw with initial version 0.2.0
Package: ssw
Title: Striped Smith-Waterman Algorithm for Sequence Alignment using SIMD
Version: 0.2.0
Description: Provides an R interface for 'SSW' (Striped Smith-Waterman) via its 'Python' binding 'ssw-py'. 'SSW' is a fast C/C++ implementation of the Smith-Waterman algorithm for pairwise sequence alignment using Single-Instruction-Multiple-Data (SIMD) instructions. 'SSW' enhances the standard algorithm by efficiently returning alignment information and suboptimal alignment scores. The core 'SSW' library offers performance improvements for various bioinformatics tasks, including protein database searches, short-read alignments, primary and split-read mapping, structural variant detection, and read-overlap graph generation. These features make 'SSW' particularly useful for genomic applications. Zhao et al. (2013) <doi:10.1371/journal.pone.0082138> developed the original C/C++ implementation.
License: MIT + file LICENSE
URL: https://nanx.me/ssw-r/, https://github.com/nanxstats/ssw-r
BugReports: https://github.com/nanxstats/ssw-r/issues
Encoding: UTF-8
SystemRequirements: Python (>= 3.6.0), ssw-py (>= 1.0.0). Detailed installation instructions can be found in the README file.
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: reticulate
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-09-01 21:24:13 UTC; nanx
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>
Repository: CRAN
Date/Publication: 2024-09-05 16:30:02 UTC

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New package INFOSET with initial version 4.0.5
Package: INFOSET
Title: Computing a New Informative Distribution Set of Asset Returns
Version: 4.0.5
Author: Gloria Polinesi [aut, cre]
Maintainer: Gloria Polinesi <g.polinesi@staff.univpm.it>
Description: Estimation of the most-left informative set of gross returns (i.e., the informative set). The procedure to compute the informative set adjusts the method proposed by Mariani et al. (2022a) <doi:10.1007/s11205-020-02440-6> and Mariani et al. (2022b) <doi:10.1007/s10287-022-00422-2> to gross returns of financial assets. This is accomplished through an adaptive algorithm that identifies sub-groups of gross returns in each iteration by approximating their distribution with a sequence of two-component log-normal mixtures. These sub-groups emerge when a significant change in the distribution occurs below the median of the financial returns, with their boundary termed as the “change point" of the mixture. The process concludes when no further change points are detected. The outcome encompasses parameters of the leftmost mixture distributions and change points of the analyzed financial time series.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Matrix, colorspace, dendextend, quadprog, mixtools, stats, graphics
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-03 14:18:14 UTC; Utente
Repository: CRAN
Date/Publication: 2024-09-05 17:00:02 UTC

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New package GiANT with initial version 1.3.4
Package: GiANT
Title: Gene Set Uncertainty in Enrichment Analysis
Version: 1.3.4
Date: 2024-09-02
Maintainer: Hans A. Kestler <hans.kestler@uni-ulm.de>
Description: Toolbox for various enrichment analysis methods and quantification of uncertainty of gene sets, Schmid et al. (2016) <doi:10.1093/bioinformatics/btw030>.
License: Artistic-2.0
LazyLoad: yes
Depends: R (>= 3.5.0)
Imports: parallel, graphics, grDevices, methods, stats, utils
Suggests: fdrtool, st, limma, globaltest, DESeq2, GlobalAncova
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-03 12:20:46 UTC; julian_schwab
Author: Florian Schmid [aut], Christoph Muessel [aut], Johann M. Kraus [aut], Hans A. Kestler [aut], Hans A. Kestler [cre]
Repository: CRAN
Date/Publication: 2024-09-05 16:50:06 UTC

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New package easybio with initial version 1.0
Package: easybio
Title: Comprehensive Single-Cell Annotation and Transcriptomic Analysis Toolkit
Version: 1.0
Description: Provides a comprehensive toolkit for single-cell annotation with the 'CellMarker2.0' database <http://bio-bigdata.hrbmu.edu.cn/CellMarker/>. Streamlines biological label assignment in single-cell RNA-seq data and facilitates transcriptomic analysis, including preparation of TCGA<https://portal.gdc.cancer.gov/> and GEO<https://www.ncbi.nlm.nih.gov/geo/> datasets, differential expression analysis and visualization of enrichment analysis results. Additional utility functions support various bioinformatics workflows.
URL: https://github.com/person-c/easybio
BugReports: https://github.com/person-c/easybio/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, ggplot2, limma, R6
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, patchwork, rmarkdown, ggrepel, Seurat, httr2, GEOquery, fgsea, edgeR, testthat (>= 3.0.0)
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-03 12:36:37 UTC; HUAWEI
Author: Wei Cui [aut, cre, cph]
Maintainer: Wei Cui <m2c.w@outlook.com>
Repository: CRAN
Date/Publication: 2024-09-05 16:50:02 UTC

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New package SuperCell with initial version 1.0
Package: SuperCell
Title: Simplification of scRNA-Seq Data by Merging Together Similar Cells
Version: 1.0
Description: Aggregates large single-cell data into metacell dataset by merging together gene expression of very similar cells. 'SuperCell' uses 'velocyto.R' <doi:10.1038/s41586-018-0414-6> <https://github.com/velocyto-team/velocyto.R> for RNA velocity. We also recommend installing 'scater' Bioconductor package <doi:10.18129/B9.bioc.scater> <https://bioconductor.org/packages/release/bioc/html/scater.html>.
License: GPL-3
BugReports: https://github.com/GfellerLab/SuperCell/issues
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Additional_repositories: https://mteleman.github.io/drat
Imports: igraph, RANN, WeightedCluster, corpcor, weights, Hmisc, Matrix, matrixStats, plyr, irlba, grDevices, patchwork, ggplot2, umap, entropy, Rtsne, dbscan, scales, plotfunctions, proxy, methods, rlang,
Suggests: SingleCellExperiment, SummarizedExperiment, cowplot, scater, Seurat, knitr, rmarkdown, remotes, bluster, velocyto.R, testthat (>= 3.0.0)
Depends: R (>= 4.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-02 08:28:23 UTC; admin
Author: Mariia Bilous [aut], Leonard Herault [cre]
Maintainer: Leonard Herault <leonard.herault@unil.ch>
Repository: CRAN
Date/Publication: 2024-09-05 15:30:02 UTC

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New package iTOS with initial version 1.0.3
Package: iTOS
Title: Methods and Examples from Introduction to the Theory of Observational Studies
Version: 1.0.3
Author: Paul R. Rosenbaum [aut, cre]
Maintainer: Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu>
Description: Supplements for a book, "iTOS" = "Introduction to the Theory of Observational Studies." Data sets are 'aHDL' from Rosenbaum (2023a) <doi:10.1111/biom.13558> and 'bingeM' from Rosenbaum (2023b) <doi:10.1111/biom.13921>. The function makematch() uses two-criteria matching from Zhang et al. (2023) <doi:10.1080/01621459.2021.1981337> to create the matched data 'bingeM' from 'binge'. The makematch() function also implements optimal matching (Rosenbaum (1989) <doi:10.2307/2290079>) and matching with fine or near-fine balance (Rosenbaum et al. (2007) <doi:10.1198/016214506000001059> and Yang et al (2012) <doi:10.1111/j.1541-0420.2011.01691.x>). The book makes use of two other R packages, 'weightedRank' and 'tightenBlock'.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: stats, MASS, rcbalance, BiasedUrn, xtable
Suggests: weightedRank
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-09-02 19:37:06 UTC; rosenbap
Repository: CRAN
Date/Publication: 2024-09-05 16:00:02 UTC

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New package geoheatmap with initial version 0.1.0
Package: geoheatmap
Title: Create Geospatial Cartogram Heatmaps
Version: 0.1.0
Maintainer: Sanne J.W. Willems <s.j.w.willems@fsw.leidenuniv.nl>
Description: The functionality provided by this package is an expansion of the code of the 'statebins' package, created by B. Rudis (2022), <doi:10.32614/CRAN.package.statebins>. It allows for the creation of square choropleths for the entire world, provided an appropriate specified grid is supplied.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: geofacet, statebins, ggplot2, plotly, rlang
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, viridisLite, testthat (>= 3.0.0), htmltools
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-09-02 13:14:32 UTC; Maria
Author: Sanne J.W. Willems [cre, aut], Maria Rados [aut], Juan Claramunt Gonzalez [ctb]
Repository: CRAN
Date/Publication: 2024-09-05 15:40:02 UTC

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New package ecpdist with initial version 0.2.1
Package: ecpdist
Version: 0.2.1
Date: 2024-08-29
Title: Extended Chen-Poisson Lifetime Distribution
Maintainer: Ana Abreu <abreu@staff.uma.pt>
Suggests: testthat (>= 3.0.0)
Description: Computes the Extended Chen-Poisson (ecp) distribution, survival, density, hazard, cumulative hazard and quantile functions. It also allows to generate a pseudo-random sample from this distribution. The corresponding graphics are available. Functions to obtain measures of skewness and kurtosis, k-th raw moments, conditional k-th moments and mean residual life function were added. For details about ecp distribution, see Sousa-Ferreira, I., Abreu, A.M. & Rocha, C. (2023). <doi:10.57805/revstat.v21i2.405>.
License: GPL-3
URL: <https://github.com/abreu-uma/ecpdist>
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-02 08:52:26 UTC; anaab
Author: Ana Abreu [aut, cre, cph] , Ivo Sousa-Ferreira [aut] , Cristina Rocha [ctb]
Repository: CRAN
Date/Publication: 2024-09-05 15:40:05 UTC

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New package AIFFtools with initial version 1.0
Package: AIFFtools
Title: Read AIFF Files and Convert to WAVE Format
Version: 1.0
Date: 2024-08-20-
Description: Functions are provided to read and convert AIFF audio files to WAVE (WAV) format. This supports, for example, use of the 'tuneR' package, which does not currently handle AIFF files. The AIFF file format is defined in <https://web.archive.org/web/20080125221040/http://www.borg.com/~jglatt/tech/aiff.htm> and <https://www.mmsp.ece.mcgill.ca/Documents/AudioFormats/AIFF/Docs/AIFF-1.3.pdf> .
License: LGPL-3
Imports: R.utils, methods, tuneR
NeedsCompilation: no
Packaged: 2024-09-02 15:08:37 UTC; cgw
Author: Carl Witthoft [aut, cre]
Maintainer: Carl Witthoft <cellocgw@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-05 15:50:02 UTC

More information about AIFFtools at CRAN
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New package optimCheck with initial version 1.0.1
Package: optimCheck
Title: Graphical and Numerical Checks for Mode-Finding Routines
Version: 1.0.1
Date: 2024-09-04
Description: Tools for checking that the output of an optimization algorithm is indeed at a local mode of the objective function. This is accomplished graphically by calculating all one-dimensional "projection plots" of the objective function, i.e., varying each input variable one at a time with all other elements of the potential solution being fixed. The numerical values in these plots can be readily extracted for the purpose of automated and systematic unit-testing of optimization routines.
URL: https://github.com/mlysy/optimCheck
BugReports: https://github.com/mlysy/optimCheck/issues
License: GPL-3
Imports: stats, graphics
Encoding: UTF-8
Suggests: testthat, quantreg, mclust, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-04 20:02:50 UTC; mlysy
Author: Martin Lysy [aut, cre]
Maintainer: Martin Lysy <mlysy@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2024-09-05 05:00:02 UTC

More information about optimCheck at CRAN
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Wed, 04 Sep 2024

New package pandemics with initial version 0.1.0
Package: pandemics
Title: Monitoring a Developing Pandemic with Available Data
Version: 0.1.0
Author: Maria Luz Gamiz [aut, cph], Enno Mammen [aut, cph], Maria Dolores Martinez-Miranda [aut, cre, cph], Jens Perch Nielsen [aut, cph]
Maintainer: Maria Dolores Martinez-Miranda <mmiranda@ugr.es>
Description: Full dynamic system to describe and forecast the spread and the severity of a developing pandemic, based on available data. These data are number of infections, hospitalizations, deaths and recoveries notified each day. The system consists of three transitions, infection-infection, infection-hospital and hospital-death/recovery. The intensities of these transitions are dynamic and estimated using non-parametric local linear estimators. The package can be used to provide forecasts and survival indicators such as the median time spent in hospital and the probability that a patient who has been in hospital for a number of days can leave it alive. Methods are described in Gámiz, Mammen, Martínez-Miranda, and Nielsen (2024) <doi:10.48550/arXiv.2308.09918> and <doi:10.48550/arXiv.2308.09919>.
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-08-30 17:38:02 UTC; Usuario
Repository: CRAN
Date/Publication: 2024-09-04 13:10:02 UTC

More information about pandemics at CRAN
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New package mlmc with initial version 2.0.2
Package: mlmc
Title: Multi-Level Monte Carlo
Version: 2.0.2
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>
Description: An implementation of MLMC (Multi-Level Monte Carlo), Giles (2008) <doi:10.1287/opre.1070.0496>, Heinrich (1998) <doi:10.1006/jcom.1998.0471>, for R. This package builds on the original 'Matlab' and 'C++' implementations by Mike Giles to provide a full MLMC driver and example level samplers. Multi-core parallel sampling of levels is provided built-in.
BugReports: https://github.com/louisaslett/mlmc/issues
URL: https://mlmc.louisaslett.com/, https://github.com/louisaslett/mlmc
Imports: ggplot2, grid, parallel, Rcpp
License: GPL-2
Encoding: UTF-8
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-08-31 10:43:18 UTC; louis
Author: Louis Aslett [cre, aut, trl] , Mike Giles [ctb] , Tigran Nagapetyan [ctb] , Sebastian Vollmer [ctb]
Repository: CRAN
Date/Publication: 2024-09-04 13:20:02 UTC

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New package GPEMR with initial version 0.1.0
Package: GPEMR
Title: Growth Parameter Estimation Method
Version: 0.1.0
Description: Provides functions for simulating and estimating parameters of various growth models, including Logistic, Exponential, Theta-logistic, Von-Bertalanffy, and Gompertz models. The package supports both simulated and real data analysis, including parameter estimation, visualization, and calculation of global and local estimates. The methods are based on research described by Md Aktar Ul Karim and Amiya Ranjan Bhowmick (2022) in (<https://www.researchsquare.com/article/rs-2363586/v1>). An interactive web application is also available at [GPEMR Web App](<https://gpem-r.shinyapps.io/GPEM-R/>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: mvtnorm
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-30 18:08:31 UTC; Ruqaiya Shaikh
Author: Ruqaiya Shaikh [aut, cre], Amiya Ranjan Bhowmick [aut], Md Aktar Ul Karim [aut]
Maintainer: Ruqaiya Shaikh <ruqaiyashaikh41@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-04 13:10:05 UTC

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New package GeRnika with initial version 1.0.0
Package: GeRnika
Title: Simulation, Visualization and Comparison of Tumor Evolution Data
Version: 1.0.0
Description: Simulating, visualizing and comparing tumor clonal data by using simple commands. This aims at providing a tool to help researchers to easily simulate tumor data and analyze the results of their approaches for studying the composition and the evolutionary history of tumors.
Encoding: UTF-8
Imports: data.tree, purrr, reshape2, DiagrammeR, colorspace, dplyr, methods, vctrs, magrittr, stats
Depends: R (>= 4.00)
VignetteBuilder: knitr, rmarkdown, knitcitations, ggpubr, ggplot2
Suggests: knitr, rmarkdown, knitcitations, ggpubr, ggplot2
NeedsCompilation: no
LazyData: TRUE
License: GPL (>= 3)
Packaged: 2024-08-31 17:15:39 UTC; aitor
Author: Aitor Sanchez-Ferrera [cre, aut] , Maitena Tellaetxe-Abete [aut] , Borja Calvo [aut]
Maintainer: Aitor Sanchez-Ferrera <aitor.sanchezf@ehu.eus>
Repository: CRAN
Date/Publication: 2024-09-04 13:30:09 UTC

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New package fastpng with initial version 0.1.5
Package: fastpng
Title: Read and Write PNG Files with Configurable Decoder/Encoder Options
Version: 0.1.5
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Read and write PNG images with arrays, rasters, native rasters, numeric arrays, integer arrays, raw vectors and indexed values. This PNG encoder exposes configurable internal options enabling the user to select a speed-size tradeoff. For example, disabling compression can speed up writing PNG by a factor of 50. Multiple image formats are supported including raster, native rasters, and integer and numeric arrays at color depths of 1, 2, 3 or 4. 16-bit images are also supported. This implementation uses the 'libspng' 'C' library which is available from <https://github.com/randy408/libspng/>.
License: MIT + file LICENSE
URL: https://github.com/coolbutuseless/fastpng
BugReports: https://github.com/coolbutuseless/fastpng/issues
Depends: R (>= 2.10)
Suggests: knitr, png, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Copyright: The included 'libspng' code is Copyright (c) 2018-2023, Randy <randy408@protonmail.com>. Sections within the 'libspng' code are derived from 'libpng' and copyright attributed to those authors. See 'COPYRIGHTS' for license information and full attribution of all copyrighted sections of code.
Encoding: UTF-8
Language: en-AU
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2024-08-31 11:19:45 UTC; mike
Author: Mike Cheng [aut, cre, cph], Randy408 [aut, cph] , The PNG Reference Library Authors [aut, cph], Cosmin Truta [cph] , Glenn Randers-Pehrson [cph] , Andreas Dilger [cph], Guy Eric Schalnat [cph], Mike Klein [ctb] , Matt Sarett [ctb] , James Yu [ctb] , [...truncated...]
Repository: CRAN
Date/Publication: 2024-09-04 13:20:06 UTC

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New package cpp11eigen with initial version 0.2.0
Package: cpp11eigen
Title: An 'Eigen' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Eigen' 'C++' library for linear algebra and scientific computing.
Version: 0.2.0
Suggests: cpp11, desc, knitr, mockery, rmarkdown, testthat (>= 3.0.0), withr
Depends: R(>= 3.5.0)
License: Apache License (>= 2)
BugReports: https://github.com/pachadotdev/cpp11eigen/issues
URL: https://pacha.dev/cpp11eigen/, https://github.com/pachadotdev/cpp11eigen
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-31 23:51:49 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Gael Guennebaud [aut] ), Gael Guennebaud [aut] ), Benot Jacob [aut] ), Intel Corporation [aut] ), Xerox Corporation [aut] )
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-09-04 13:40:08 UTC

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New package mlr3superlearner with initial version 0.1.1
Package: mlr3superlearner
Title: Super Learner Fitting and Prediction
Version: 0.1.1
Description: An implementation of the Super Learner prediction algorithm from van der Laan, Polley, and Hubbard (2007) <doi:10.2202/1544-6115.1309 using the 'mlr3' framework.
License: GPL (>= 3)
Encoding: UTF-8
Imports: checkmate, lgr, mlr3, data.table, purrr, cli, glmnet
Depends: mlr3learners
Suggests: ranger, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-08-30 17:30:16 UTC; nicholaswilliams
Author: Nicholas Williams [aut, cre, cph]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-04 13:00:02 UTC

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New package biostats101 with initial version 0.1.0
Package: biostats101
Title: Practical Functions for Biostatistics Beginners
Version: 0.1.0
Description: A set of user-friendly functions designed to fill gaps in existing introductory biostatistics R tools, making it easier for newcomers to perform basic biostatistical analyses without needing advanced programming skills. The methods implemented in this package are based on the works: Connor (1987) <doi:10.2307/2531961> Fleiss, Levin, & Paik (2013, ISBN:978-1-118-62561-3) Levin & Chen (1999) <doi:10.1080/00031305.1999.10474431> McNemar (1947) <doi:10.1007/BF02295996>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, tidyr
Suggests: roxygen2, testthat
NeedsCompilation: no
Packaged: 2024-08-30 16:08:36 UTC; marinawizentier
Author: Marina Mautner Wizentier [aut, cre] , Melody S. Goodman [aut] , Jemar R. Bather [aut]
Maintainer: Marina Mautner Wizentier <mm12025@nyu.edu>
Repository: CRAN
Date/Publication: 2024-09-04 13:00:05 UTC

More information about biostats101 at CRAN
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New package g3viz with initial version 1.2.0
Package: g3viz
Title: Interactively Visualize Genetic Mutation Data using a Lollipop-Diagram
Version: 1.2.0
Maintainer: Xin Guo <g3viz.group@gmail.com>
Description: Interface for 'g3-lollipop' 'JavaScript' library. Visualize genetic mutation data using an interactive lollipop diagram in 'RStudio' or your web browser.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.2.0)
Imports: jsonlite, stringr, httr2, AnnotationDbi, org.Hs.eg.db, htmlwidgets
Suggests: shiny (>= 1.0.0), knitr, rmarkdown, kableExtra
URL: https://github.com/G3viz/g3viz
BugReports: https://github.com/G3viz/g3viz/issues
NeedsCompilation: no
Packaged: 2024-09-04 05:56:50 UTC; xguo
Author: Xin Guo [aut, cre], Rener Zhang [ctb], Ruining Zhu [ctb], Feng Zhao [ctb]
Repository: CRAN
Date/Publication: 2024-09-04 09:00:14 UTC

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New package rPDBapi with initial version 2.0
Package: rPDBapi
Title: A Comprehensive Interface for Accessing the Protein Data Bank
Version: 2.0
Description: Streamlines the interaction with the 'RCSB' Protein Data Bank ('PDB') <https://www.rcsb.org/>. This interface offers an intuitive and powerful tool for searching and retrieving a diverse range of data types from the 'PDB'. It includes advanced functionalities like BLAST and sequence motif queries. Built upon the existing XML-based API of the 'PDB', it simplifies the creation of custom requests, thereby enhancing usability and flexibility for researchers.
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr, purrr, httr, jsonlite, xml2, bio3d, magrittr, methods, testthat
NeedsCompilation: no
Packaged: 2024-09-04 06:10:58 UTC; selcukkorkmaz
Author: Selcuk Korkmaz [aut, cre] , Bilge Eren Yamasan [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-04 07:00:02 UTC

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Tue, 03 Sep 2024

New package wget with initial version 0.0.2
Package: wget
Title: Setting Download Method to 'wget'
Version: 0.0.2
Description: Provides function, wget_set(), to change the method (default to 'wget -c') using in download.file(). Using 'wget -c' allowing continued downloading, which is especially useful for slow internet connection and for downloading large files. User can run wget_unset() to restore previous setting.
Imports: yulab.utils (>= 0.1.7)
License: Artistic-2.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-30 13:36:49 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 16:10:02 UTC

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New package AOboot with initial version 0.1.0
Package: AOboot
Title: Bootstrapping in Different One-Way and Two-Way ANOVA
Version: 0.1.0
Depends: R (>= 4.3.0), afex, emmeans, lsr, methods, carData
Date: 2024-08-23
Description: To address the violation of the assumption of normally distributed variables, researchers frequently employ bootstrapping. Building upon established packages for R (Sigmann et al. (2024) <doi:10.32614/CRAN.package.afex>, Lenth (2024) <doi:10.32614/CRAN.package.emmeans>), we provide bootstrapping functions to approximate a normal distribution of the parameter estimates for between-subject, within-subject, and mixed one-way and two-way ANOVA.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-30 12:57:59 UTC; christianblotner
Author: Lisa-Marie Segbert [aut], Christian Bloetner [aut, cre]
Maintainer: Christian Bloetner <c.bloetner@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 16:10:12 UTC

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New package XDNUTS with initial version 1.2
Package: XDNUTS
Title: Discontinuous Hamiltonian Monte Carlo with Varying Trajectory Length
Version: 1.2
Date: 2024-08-02
Description: Hamiltonian Monte Carlo for both continuous and discontinuous posterior distributions with customisable trajectory length termination criterion. See Nishimura et al. (2020) <doi:10.1093/biomet/asz083> for the original Discontinuous Hamiltonian Monte Carlo, Hoffman et al. (2014) <doi:10.48550/arXiv.1111.4246> and Betancourt (2016) <doi:10.48550/arXiv.1601.00225> for the definition of possible Hamiltonian Monte Carlo termination criteria.
License: MIT + file LICENSE
Imports: base, coda, graphics, grDevices, parallel, purrr, Rcpp (>= 1.0.12), Rdpack, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, KernSmooth
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-08-30 10:05:27 UTC; paolomanildo
Author: Paolo Manildo [aut, cre]
Maintainer: Paolo Manildo <paolo.manildo@studenti.unipd.it>
Repository: CRAN
Date/Publication: 2024-09-03 16:00:12 UTC

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New package pooledpeaks with initial version 1.0.5
Package: pooledpeaks
Title: Genetic Analysis of Pooled Samples
Version: 1.0.5
Description: Analyzing genetic data obtained from pooled samples. This package can read in Fragment Analysis output files, process the data, and score peaks, as well as facilitate various analyses, including cluster analysis, calculation of genetic distances and diversity indices, as well as bootstrap resampling for statistical inference. Specifically tailored to handle genetic data efficiently, researchers can explore population structure, genetic differentiation, and genetic relatedness among samples. We updated some functions from Covarrubias-Pazaran et al. (2016) <doi:10.1186/s12863-016-0365-6> to allow for the use of new file formats and referenced the following to write our genetic analysis functions: Long et al. (2022) <doi:10.1038/s41598-022-04776-0>, Jost (2008) <doi:10.1111/j.1365-294x.2008.03887.x>, Nei (1973) <doi:10.1073/pnas.70.12.3321>, Foulley et al. (2006) <doi:10.1016/j.livprodsci.2005.10.021>, Chao et al. (2008) <doi:10.1111/j.1541-0420.2008.01010 [...truncated...]
URL: https://github.com/kmkuesters/pooledpeaks
License: GPL (>= 3)
Encoding: UTF-8
Imports: ape, dplyr, Fragman, graphics, magrittr, pdftools, qpdf, rlang, stats, tibble, tidyr, utils
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/kmkuesters/pooledpeaks/issues
NeedsCompilation: no
Packaged: 2024-08-30 01:01:28 UTC; Kathleen
Author: Kathleen Kuesters [aut, cre, cph] , Jeffrey Long [ctb], Jessica Blanton [ctb], Walter Blank [ctb], Jeffrey Kovach [ctb], Ronald Blanton [ctb]
Maintainer: Kathleen Kuesters <kathleen.kuesters@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 15:50:02 UTC

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New package PathwaySpace with initial version 0.99.4
Package: PathwaySpace
Title: Spatial Projection of Network Signals along Geodesic Paths
Version: 0.99.4
Depends: R(>= 4.4), methods, RGraphSpace
Imports: grDevices, stats, scales, igraph, RANN, ggplot2, ggrepel
Suggests: knitr, rmarkdown, testthat, RedeR
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package then uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' could have various applications, such as visualizing and analyzing network data in a graphical format that highlights the relationships and signal strengths between vertices. It can be particularly useful for understanding the influence of signals through complex networks. By combining graph theory, signal processing, and visualization, the 'PathwaySpace' package provides a novel way of representing and analyzing graph data.
License: Artistic-2.0
VignetteBuilder: knitr
URL: https://github.com/sysbiolab/PathwaySpace
BugReports: https://github.com/sysbiolab/PathwaySpace/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-29 16:55:28 UTC; maac
Author: Vinicius Chagas [ctr], Victor Apolonio [ctr], Mauro Castro [aut, cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 15:30:02 UTC

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New package mregions2 with initial version 1.1.1
Package: mregions2
Title: Access Data from Marineregions.org: Gazetteer & Data Products
Version: 1.1.1
Maintainer: Salvador Jesus Fernandez Bejarano <salvador.fernandez@vliz.be>
Description: Explore and retrieve marine geospatial data from the Marine Regions Gazetteer <https://marineregions.org/gazetteer.php?p=webservices> and the Marine Regions Data Products <https://marineregions.org/webservices.php>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: checkmate, glue, httr2, magrittr, sf, utils, rdflib, ISOcodes, memoise, cli, dplyr, xml2, wrapr, methods, curl, digest
URL: https://github.com/ropensci/mregions2, https://docs.ropensci.org/mregions2/
BugReports: https://github.com/ropensci/mregions2/issues
Suggests: ows4R (>= 0.3), httptest2, jsonlite, knitr, leaflet, leaflet.extras2, mapview, rmarkdown, testthat, wk, purrr, withr
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-08-30 09:33:55 UTC; localadmin
Author: Salvador Jesus Fernandez Bejarano [aut, cre] , Lotte Pohl [aut] , Julia Gustavsen [rev], Muralidhar M.A. [rev], Sheila M. Saia [rev], LifeWatch Belgium [fnd]
Repository: CRAN
Date/Publication: 2024-09-03 16:00:07 UTC

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New package MMGFM with initial version 1.1.0
Package: MMGFM
Title: Multi-Study Multi-Modality Generalized Factor Model
Version: 1.1.0
Date: 2024-08-25
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuwei8@scu.edu.cn>
Description: We introduce a generalized factor model designed to jointly analyze high-dimensional multi-modality data from multiple studies by extracting study-shared and specified factors. Our factor models account for heterogeneous noises and overdispersion among modality variables with augmented covariates. We propose an efficient and speedy variational estimation procedure for estimating model parameters, along with a novel criterion for selecting the optimal number of factors. More details can be referred to Liu et al. (2024) <doi:10.48550/arXiv.2408.10542>.
License: GPL-3
Depends: irlba, R (>= 3.5.0)
Imports: MASS, stats, GFM, MultiCOAP, Rcpp (>= 1.0.10)
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-08-30 00:46:32 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2024-09-03 15:50:10 UTC

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New package lnmixsurv with initial version 3.1.6
Package: lnmixsurv
Title: Bayesian Mixture Log-Normal Survival Model
Version: 3.1.6
Date: 2024-08-21
Description: Bayesian Survival models via the mixture of Log-Normal distribution extends the well-known survival models and accommodates different behaviour over time and considers higher censored survival times. The proposal combines mixture distributions Fruhwirth-Schnatter(2006) <doi:10.1007/s11336-009-9121-4>, and data augmentation techniques Tanner and Wong (1987) <doi:10.1080/01621459.1987.10478458>.
License: MIT + file LICENSE
Imports: stats, posterior, hardhat (>= 1.3.0), rlang, generics, dplyr, readr, purrr, tidyr, tibble, Rcpp, RcppParallel, tidyselect, broom
LinkingTo: Rcpp, RcppArmadillo, RcppGSL, RcppParallel
Depends: parsnip (>= 1.1.0), R (>= 4.1.0), survival, ggplot2
Suggests: ggsurvfit, plotly, bayesplot, censored, knitr, rmarkdown, tidymodels, testthat (>= 3.0.0), covr, withr, pec
Encoding: UTF-8
SystemRequirements: C++, GNU, GNU make, GSL
VignetteBuilder: knitr
LazyData: true
URL: https://vivianalobo.github.io/lnmixsurv/
NeedsCompilation: yes
Packaged: 2024-08-29 14:15:49 UTC; victorney
Author: Viviana das Gracas Ribeiro Lobo [aut], Thais Cristina Oliveira da Fonseca [aut], Mariane Branco Alves [aut], Vitor Capdeville [aut], Victor Hugo Soares Ney [cre]
Maintainer: Victor Hugo Soares Ney <victor.s.ney@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 15:20:08 UTC

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New package EquiTrends with initial version 1.0.0
Package: EquiTrends
Title: Equivalence Testing for Pre-Trends in Difference-in-Differences Designs
Version: 1.0.0
Maintainer: Ties Bos <tc.bos@student.maastrichtuniversity.nl>
Description: Testing for parallel trends is crucial in the Difference-in-Differences framework. To this end, this package performs equivalence testing in the context of Difference-in-Differences estimation. It allows users to test if pre-treatment trends in the treated group are “equivalent” to those in the control group. Here, “equivalence” means that rejection of the null hypothesis implies that a function of the pre-treatment placebo effects (maximum absolute, average or root mean squared value) does not exceed a pre-specified threshold below which trend differences are considered negligible. The package is based on the theory developed in Dette & Schumann (2024) <doi:10.1080/07350015.2024.2308121>.
License: MIT + file LICENSE
Imports: clubSandwich, nloptr, dplyr, rlang, plm, Rcpp (>= 1.0.12), RcppParallel, stats, VGAM
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
URL: https://github.com/TiesBos/EquiTrends
BugReports: https://github.com/TiesBos/EquiTrends/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-08-29 17:40:12 UTC; tiesbos
Author: Ties Bos [aut, cre], Martin Schumann [ctb]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-09-03 15:40:02 UTC

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New package eodhdR2 with initial version 0.5.0
Package: eodhdR2
Title: Official R API for Fetching Data from 'EODHD'
Version: 0.5.0
Maintainer: Marcelo S. Perlin <marceloperlin@gmail.com>
Description: Second and backward-incompatible version of R package 'eodhd' <https://eodhd.com/>, extended with a cache and quota system, also offering functions for cleaning and aggregating the financial data.
License: MIT + file LICENSE
URL: https://github.com/EodHistoricalData/R-Library-for-financial-data-2024
BugReports: https://github.com/EodHistoricalData/R-Library-for-financial-data-2024/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, cli, dplyr, fs, glue, httr, jsonlite, lubridate, purrr, readr, tidyr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-08-29 13:24:04 UTC; msperlin
Author: Marcelo S. Perlin [aut, cre, ctr], Unicorn Data Services [cph]
Repository: CRAN
Date/Publication: 2024-09-03 15:10:02 UTC

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New package sdtm.oak with initial version 0.1.0
Package: sdtm.oak
Title: SDTM Data Transformation Engine
Version: 0.1.0
Maintainer: Rammprasad Ganapathy <ganapathy.rammprasad@gene.com>
Description: An Electronic Data Capture system (EDC) and Data Standard agnostic solution that enables the pharmaceutical programming community to develop Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) datasets in R. The reusable algorithms concept in 'sdtm.oak' provides a framework for modular programming and can potentially automate the conversion of raw clinical data to SDTM through standardized SDTM specifications. SDTM is one of the required standards for data submission to the Food and Drug Administration (FDA) in the United States and Pharmaceuticals and Medical Devices Agency (PMDA) in Japan. SDTM standards are implemented following the SDTM Implementation Guide as defined by CDISC <https://www.cdisc.org/standards/foundational/sdtmig>.
Language: en-US
License: Apache License (>= 2)
Copyright: F. Hoffmann-La Roche AG, Pattern Institute, Atorus Research LLC and Transition Technologies Science sp. z o.o.
BugReports: https://github.com/pharmaverse/sdtm.oak/issues/
URL: https://pharmaverse.github.io/sdtm.oak/
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.2)
Imports: admiraldev (>= 1.1.0), dplyr (>= 1.0.0), purrr (>= 1.0.1), tidyr (>= 1.2.0), rlang (>= 1.0.2), tibble (>= 3.2.0), vctrs (>= 0.5.0), stringr (>= 1.4.0), assertthat, pillar, cli
Suggests: knitr, htmltools, lifecycle, magrittr, rmarkdown, spelling, testthat (>= 3.1.7), DT, readr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-29 00:16:07 UTC; ganapar1
Author: Rammprasad Ganapathy [aut, cre], Adam Forys [aut], Edgar Manukyan [aut], Rosemary Li [aut], Preetesh Parikh [aut], Lisa Houterloot [aut], Yogesh Gupta [aut], Omar Garcia [aut], Ramiro Magno [aut] , Kamil Sijko [aut] , Shiyu Chen [aut], Pattern Instit [...truncated...]
Repository: CRAN
Date/Publication: 2024-09-03 14:40:02 UTC

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New package RWNN with initial version 0.4
Package: RWNN
Title: Random Weight Neural Networks
Version: 0.4
Date: 2024-08-29
Description: Creation, estimation, and prediction of random weight neural networks (RWNN), Schmidt et al. (1992) <doi:10.1109/ICPR.1992.201708>, including popular variants like extreme learning machines, Huang et al. (2006) <doi:10.1016/j.neucom.2005.12.126>, sparse RWNN, Zhang et al. (2019) <doi:10.1016/j.neunet.2019.01.007>, and deep RWNN, Henríquez et al. (2018) <doi:10.1109/IJCNN.2018.8489703>. It further allows for the creation of ensemble RWNNs like bagging RWNN, Sui et al. (2021) <doi:10.1109/ECCE47101.2021.9595113>, boosting RWNN, stacking RWNN, and ensemble deep RWNN, Shi et al. (2021) <doi:10.1016/j.patcog.2021.107978>.
License: MIT + file LICENSE
Imports: methods, quadprog, randtoolbox, Rcpp (>= 1.0.4.6), stats, utils
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Suggests: tinytest
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-08-29 07:03:46 UTC; svilsen
Author: Soeren B. Vilsen [aut, cre]
Maintainer: Soeren B. Vilsen <svilsen@math.aau.dk>
Repository: CRAN
Date/Publication: 2024-09-03 14:50:06 UTC

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New package ProSportsDraftData with initial version 1.0.3
Package: ProSportsDraftData
Title: Professional Sports Draft Data
Version: 1.0.3
Author: Benjamin Ginsburg [aut, cre]
Maintainer: Benjamin Ginsburg <benjamin.ginsburg@du.edu>
Description: We provide comprehensive draft data for major professional sports leagues, including the National Football League (NFL), National Basketball Association (NBA), and National Hockey League (NHL). It offers access to both historical and current draft data, allowing for detailed analysis and research on player biases and player performance. The package is useful for sports fans and researchers interested in identifying biases and trends within scouting reports. Created by web scraping data from leading websites that cover professional sports player scouting reports, the package allows users to filter and summarize data for analytical purposes. For further details on the methods used, please refer to Wickham (2022) "rvest: Easily Harvest (Scrape) Web Pages" <https://CRAN.R-project.org/package=rvest> and Harrison (2023) "RSelenium: R Bindings for Selenium WebDriver" <https://CRAN.R-project.org/package=RSelenium>.
Encoding: UTF-8
LazyData: true
URL: https://github.com/Ginsburg1/ProSportsDraftData
BugReports: https://github.com/Ginsburg1/ProSportsDraftData/issues
Imports: dplyr, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
License: GPL-3
NeedsCompilation: no
Packaged: 2024-08-28 22:16:16 UTC; benjaminginsburg
Repository: CRAN
Date/Publication: 2024-09-03 14:30:08 UTC

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New package CongressData with initial version 1.5.4
Package: CongressData
Title: A Functional Tool for 'CongressData'
Version: 1.5.4
Description: A tool that imports, subsets, and exports the 'CongressData' dataset. 'CongressData' contains approximately 800 variables concerning all US congressional districts with data back to 1789. The dataset tracks district characteristics, members of Congress, and the political behavior of those members. Users with only a basic understanding of R can subset this data across multiple dimensions, export their search results, identify the citations associated with their searches, and more.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.50)
Imports: stringr, dplyr, rlang, fst, curl, tidyselect
NeedsCompilation: no
Packaged: 2024-08-29 01:12:26 UTC; caleb
Author: Caleb Lucas [aut, cre], Ben Yoel [ctb]
Maintainer: Caleb Lucas <calebjlucas@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-03 14:40:11 UTC

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New package clintrialx with initial version 0.1.0
Package: clintrialx
Title: Connect and Work with Clinical Trials Data Sources
Version: 0.1.0
Maintainer: Indraneel Chakraborty <hello.indraneel@gmail.com>
Description: Are you spending too much time fetching and managing clinical trial data? Struggling with complex queries and bulk data extraction? What if you could simplify this process with just a few lines of code? Introducing 'clintrialx' - Fetch clinical trial data from sources like 'ClinicalTrials.gov' <https://clinicaltrials.gov/> and the 'Clinical Trials Transformation Initiative - Access to Aggregate Content of ClinicalTrials.gov' database <https://aact.ctti-clinicaltrials.org/>, supporting pagination and bulk downloads. Also, you can generate HTML reports based on the data obtained from the sources!
License: Apache License 2.0
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: httr, lubridate, readr, dplyr, progress, RPostgreSQL, tibble, DBI, rmarkdown, xfun (>= 0.44)
Suggests: knitr
VignetteBuilder: knitr
URL: http://www.indraneelchakraborty.com/clintrialx/
NeedsCompilation: no
Packaged: 2024-08-28 19:06:35 UTC; neel0
Author: Indraneel Chakraborty [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-03 14:40:06 UTC

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New package GeoFIS with initial version 1.1.0
Package: GeoFIS
Title: Spatial Data Processing for Decision Making
Version: 1.1.0
Author: Serge Guillaume [aut], Jean-Luc Lablee [aut, cre], INRAE [cph]
Maintainer: Jean-Luc Lablee <jean-luc.lablee@inrae.fr>
URL: https://www.geofis.org
Description: Methods for processing spatial data for decision-making. This package is an R implementation of methods provided by the open source software GeoFIS <https://www.geofis.org> (Leroux et al. 2018) <doi:10.3390/agriculture8060073>. The main functionalities are the management zone delineation (Pedroso et al. 2010) <doi:10.1016/j.compag.2009.10.007> and data aggregation (Mora-Herrera et al. 2020) <doi:10.1016/j.compag.2020.105624>.
License: CeCILL
Encoding: UTF-8
Depends: R (>= 4.0.0), sp, data.tree, FisPro (>= 1.1.0)
Imports: methods, utils, stats, Rdpack, foreach, R6, Rcpp, magrittr, sf, nnls, itertools, purrr
SystemRequirements: GNU make, C++17, gmp, mpfr
NeedsCompilation: yes
LinkingTo: Rcpp, BH, FisPro
Suggests: testthat, rlang, knitr, rmarkdown, RColorBrewer, R.rsp
VignetteBuilder: knitr, R.rsp
Packaged: 2024-08-30 14:50:58 UTC; jllablee
Repository: CRAN
Date/Publication: 2024-09-03 08:50:10 UTC

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Mon, 02 Sep 2024

New package maxstablePCA with initial version 0.1.0
Title: Apply a PCA Like Procedure Suited for Multivariate Extreme Value Distributions
Package: maxstablePCA
Description: Dimension reduction for multivariate data of extreme events with a PCA like procedure as described in Reinbott, Janßen, (2024), <doi:10.48550/arXiv.2408.10650>. Tools for necessary transformations of the data are provided.
Version: 0.1.0
Maintainer: Felix Reinbott <felix.reinbott@ovgu.de>
Depends: R (>= 3.0.1)
License: MIT + file LICENSE
Imports: nloptr
Suggests: testthat, evd, mev
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-08-28 12:08:22 UTC; reinbott
Author: Felix Reinbott [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-02 21:40:07 UTC

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New package imt with initial version 1.0.0
Package: imt
Title: Impact Measurement Toolkit
Version: 1.0.0
Description: A toolkit for causal inference in experimental and observational studies. Implements various simple Bayesian models including linear, negative binomial, and logistic regression for impact estimation. Provides functionality for randomization and checking baseline equivalence in experimental designs. The package aims to simplify the process of impact measurement for researchers and analysts across different fields. Examples and detailed usage instructions are available at <https://book.martinez.fyi>.
License: Apache License (>= 2.0)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: R6, bayesplot, caret, dplyr, ggplot2, glue, magrittr, methods, Rcpp, RcppParallel, rlang, rstan, rstantools, tibble, tidyr, vizdraws, purrr, scales, tidyselect
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Suggests: knitr, rmarkdown, roxygen2, testthat
SystemRequirements: GNU make
URL: https://github.com/google/imt
BugReports: https://github.com/google/imt/issues
NeedsCompilation: yes
Packaged: 2024-08-28 13:19:01 UTC; ignacio
Author: Ignacio Martinez [aut, cre]
Maintainer: Ignacio Martinez <martinezig@google.com>
Repository: CRAN
Date/Publication: 2024-09-02 21:40:10 UTC

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New package eCerto with initial version 0.5.14
Package: eCerto
Title: Statistical Tests for the Production of Reference Materials
Version: 0.5.14
Date: 2024-08-27
Maintainer: Jan Lisec <jan.lisec@bam.de>
Description: The production of certified reference materials (CRMs) requires various statistical tests depending on the task and recorded data to ensure that reported values of CRMs are appropriate. Often these tests are performed according to the procedures described in 'ISO GUIDE 35:2017'. The 'eCerto' package contains a 'Shiny' app which provides functionality to load, process, report and backup data recorded during CRM production and facilitates following the recommended procedures. It is described in Lisec et al (2023) <doi:10.1007/s00216-023-05099-3> and can also be accessed online <https://apps.bam.de/shn00/eCerto/> without package installation.
URL: https://github.com/janlisec/eCerto
BugReports: https://github.com/janlisec/eCerto/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: bzip2
Depends: R (>= 3.5.0)
Imports: bslib, config, DT, golem, knitr, magick, markdown (>= 1.5.0), moments, openxlsx, plyr, purrr, R6, rmarkdown, shiny, shinyjs, shinyWidgets, tidyxl
Suggests: covr, curl, fs, jsonlite, shinytest2, testthat (>= 3.0.0), vdiffr, webshot2
NeedsCompilation: no
Packaged: 2024-08-28 10:53:49 UTC; jlisec
Author: Jan Lisec [cre, aut] , Frederik Kress [ctb]
Repository: CRAN
Date/Publication: 2024-09-02 21:40:15 UTC

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New package EBcoBART with initial version 1.0.1
Package: EBcoBART
Title: Co-Data Learning for Bayesian Additive Regression Trees
Version: 1.0.1
Description: Estimate prior variable weights for Bayesian Additive Regression Trees (BART). These weights correspond to the probabilities of the variables being selected in the splitting rules of the sum-of-trees. Weights are estimated using empirical Bayes and external information on the explanatory variables (co-data). BART models are fitted using the 'dbarts' 'R' package. See Goedhart and others (2023) <doi:10.48550/arXiv.2311.09997> for details.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/JeroenGoedhart/EBcoBART
Imports: dbarts, loo, posterior, univariateML, extraDistr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-08-28 18:09:38 UTC; VNOB-0732
Author: Jeroen M. Goedhart [aut, cre, cph] , Thomas Klausch [aut], Mark A. van de Wiel [aut], Vincent Dorie [ctb] , Hanarth Fonds [fnd]
Maintainer: Jeroen M. Goedhart <jeroengoed@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-02 21:50:02 UTC

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New package box.lsp with initial version 0.1.0
Package: box.lsp
Title: Provides 'box' Compatibility for 'languageserver'
Version: 0.1.0
Description: A 'box' compatible custom language parser for the 'languageserver' package to provide completion and signature hints in code editors.
URL: https://github.com/Appsilon/box.lsp
License: LGPL (>= 3)
Encoding: UTF-8
Imports: box, cli, fs, rlang
Suggests: languageserver, lintr, magrittr, mockery, purrr, rprojroot, stringi, stringr, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2024-08-28 13:07:05 UTC; kuba
Author: Ricardo Rodrigo Basa [aut, cre], Pavel Demin [aut], Jakub Nowicki [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Ricardo Rodrigo Basa <opensource+rodrigo@appsilon.com>
Repository: CRAN
Date/Publication: 2024-09-02 21:40:19 UTC

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New package strs with initial version 0.1.0
Package: strs
Title: 'Python' Style String Functions
Version: 0.1.0
Description: A comprehensive set of string manipulation functions based on those found in 'Python' without relying on 'reticulate'. It provides functions that intend to (1) make it easier for users familiar with 'Python' to work with strings, (2) reduce the complexity often associated with string operations, (3) and enable users to write more readable and maintainable code that manipulates strings.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringi
Suggests: testthat (>= 3.0.0)
URL: https://github.com/pythonicr/strs, https://pythonicr.github.io/strs/
BugReports: https://github.com/pythonicr/strs/issues
NeedsCompilation: no
Packaged: 2024-08-27 22:02:37 UTC; garrettshipley
Author: Garrett Shipley [aut, cre]
Maintainer: Garrett Shipley <garrett.shipley7@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-02 14:30:02 UTC

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New package re with initial version 0.1.0
Package: re
Title: 'Python' Style Regular Expression Functions
Version: 0.1.0
Description: A comprehensive set of regular expression functions based on those found in 'Python' without relying on 'reticulate'. It provides functions that intend to (1) make it easier for users familiar with 'Python' to work with regular expressions, (2) reduce the complexity often associated with regular expressions code, (3) and enable users to write more readable and maintainable code that relies on regular expression-based pattern matching.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringi
URL: https://pythonicr.github.io/re/, https://github.com/pythonicr/re
BugReports: https://github.com/pythonicr/re/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-08-27 21:39:17 UTC; garrettshipley
Author: Garrett Shipley [aut, cre]
Maintainer: Garrett Shipley <garrett.shipley7@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-02 14:30:07 UTC

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New package GmooG with initial version 0.7
Package: GmooG
Title: Datasets for the Book 'Getting (more out of) Graphics'
Version: 0.7
Description: Datasets analysed in the book Antony Unwin (2024, ISBN:978-0367674007) "Getting (more out of) Graphics".
Depends: R (>= 3.5)
License: GPL (>= 2)
Suggests: tidyverse
NeedsCompilation: no
Packaged: 2024-08-28 08:53:02 UTC; antonyunwin2
Author: Antony Unwin [aut, cre, cph]
Maintainer: Antony Unwin <unwin@math.uni-augsburg.de>
Repository: CRAN
Date/Publication: 2024-09-02 15:00:02 UTC

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New package TreatmentPatterns with initial version 2.6.9
Package: TreatmentPatterns
Title: Analyzes Real-World Treatment Patterns of a Study Population of Interest
Version: 2.6.9
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>
Description: Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.
URL: https://github.com/darwin-eu/TreatmentPatterns
BugReports: https://github.com/darwin-eu/TreatmentPatterns/issues
Language: en-US
Depends: R (>= 4.2)
Imports: checkmate, dplyr, stringr, utils, stats, Andromeda, tidyr, R6, sunburstR, networkD3, htmlwidgets, shiny, shinydashboard
Suggests: knitr, rmarkdown, tibble, testthat (>= 3.0.0), usethis, Eunomia, CDMConnector, DatabaseConnector (>= 6.0.0), SqlRender, CohortGenerator, webshot2, CirceR, duckdb, DBI, withr, plotly, ggplot2, Capr
License: Apache License 2.0
Encoding: UTF-8
VignetteBuilder: knitr
Additional_repositories: https://ohdsi.github.io/drat
NeedsCompilation: no
Packaged: 2024-09-02 09:13:33 UTC; mvankessel
Author: Aniek Markus [aut] , Maarten van Kessel [cre]
Repository: CRAN
Date/Publication: 2024-09-02 12:40:06 UTC

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New package ropenmeteo with initial version 0.1
Package: ropenmeteo
Title: Wrappers for 'Open-Meteo' API
Version: 0.1
Description: Wrappers for the Application Programming Interface from the <https://open-meteo.com> project along with helper functions. The <https://open-meteo.com> project streamlines access to a range of publicly historical and forecast meteorology data from agencies across the world.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringr, dplyr, tidyr, purrr, lubridate, glue, imputeTS, httr2, jsonlite
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), readr, tibble, spelling
VignetteBuilder: knitr
Language: en-US
URL: http://flare-forecast.org/ropenmeteo/
BugReports: https://github.com/flare-forecast/ropenmeteo/issues
NeedsCompilation: no
Packaged: 2024-08-27 15:32:07 UTC; rqthomas
Author: Quinn Thomas [aut, cre, cph]
Maintainer: Quinn Thomas <rqthomas@vt.edu>
Repository: CRAN
Date/Publication: 2024-09-02 12:10:02 UTC

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New package rice with initial version 0.1.1
Package: rice
Title: Radiocarbon Calibration Equations
Version: 0.1.1
Date: 2024-08-27
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon realms (C14 age, F14C, pMC, D14C) and estimating the effects of contamination. The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package accompanies the data package 'rintcal'.
License: GPL (>= 2)
Encoding: UTF-8
Imports: rintcal (>= 0.6.4), data.table, jsonlite
Suggests: knitr, rmarkdown, utf8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-27 17:23:08 UTC; maarten
Repository: CRAN
Date/Publication: 2024-09-02 12:30:02 UTC

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New package QuICSeedR with initial version 0.1.2
Package: QuICSeedR
Title: Analyze Data for Fluorophore-Assisted Seed Amplification Assays
Date: 2024-08-27
Version: 0.1.2
Depends: R (>= 4.1.0)
Copyright: Manci Li
Description: A toolkit for analysis and visualization of data from fluorophore-assisted seed amplification assays, such as Real-Time Quaking-Induced Conversion (RT-QuIC) and Fluorophore-Assisted Protein Misfolding Cyclic Amplification (PMCA). 'QuICSeedR' addresses limitations in existing software by automating data processing, supporting large-scale analysis, and enabling comparative studies of analysis methods. It incorporates methods described in Henderson et al. (2015) <doi:10.1099/vir.0.069906-0>, Li et al. (2020) <doi:10.1038/s41598-021-96127-8>, Rowden et al. (2023) <doi:10.3390/pathogens12020309>, Haley et al. (2013) <doi:10.1371/journal.pone.0081488>, and Mair and Wilcox (2020) <doi:10.3758/s13428-019-01246-w>. Please refer to the original publications for details.
Imports: WRS2, magrittr, graphics, stats, ggplot2, methods, dplyr, tidyr, tidyselect, rlang, readxl
License: GPL-3 | file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-08-27 15:09:24 UTC; manci
Author: Manci Li [aut, cre]
Maintainer: Manci Li <li000021@umn.edu>
Repository: CRAN
Date/Publication: 2024-09-02 12:20:05 UTC

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New package pakret with initial version 0.1.0
Package: pakret
Title: Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'
Version: 0.1.0
Description: References and cites 'R' and 'R' packages on the fly in 'R Markdown' and 'Quarto'. 'pakret' provides a minimalistic API that generates preformatted citations of 'R' and 'R' packages, and adds their reference to a '.bib' file directly from within your document.
License: GPL (>= 3)
URL: https://arnaudgallou.github.io/pakret/, https://github.com/arnaudgallou/pakret
BugReports: https://github.com/arnaudgallou/pakret/issues
Depends: R (>= 3.6.0)
Imports: knitr, readr (>= 1.0.0), rmarkdown, utils, withr (>= 2.5.0)
Suggests: callr (>= 3.7.5), pkgload, testthat (>= 3.0.0), usethis
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-27 16:06:38 UTC; arnaudgallou
Author: Arnaud Gallou [aut, cre, cph]
Maintainer: Arnaud Gallou <arangacas@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-02 12:20:02 UTC

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New package GeoThinneR with initial version 1.0.0
Package: GeoThinneR
Title: Simple Spatial Thinning for Ecological and Spatial Analysis
Version: 1.0.0
Description: Provides efficient geospatial thinning algorithms to reduce the density of coordinate data while maintaining spatial relationships. Implements K-D Tree Approximate Nearest Neighbors (ANN), R-Tree, and brute force thinning methods. It uses a modified version of the R-tree structure from the 'rtree' package <https://github.com/akoyabio/rtree>. The modified version can be downloaded from <https://github.com/jmestret/rtree>. For more information on the methods, see Elseberg et al. (2012) <https://hdl.handle.net/10446/86202>.
License: MIT + file LICENSE
URL: https://github.com/jmestret/GeoThinneR, https://jmestret.github.io/GeoThinneR/
BugReports: https://github.com/jmestret/GeoThinneR/issues
Depends: R (>= 4.0.0)
Imports: data.table, fields, matrixStats, nabor, Rcpp, stats, terra
Suggests: ggplot2, knitr, rmarkdown, rtree, sf, testthat (>= 3.0.0), tibble
LinkingTo: Rcpp
VignetteBuilder: knitr
BuildVignettes: true
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
Packaged: 2024-08-27 18:36:10 UTC; jorge
Author: Jorge Mestre-Tomas [aut, cre]
Maintainer: Jorge Mestre-Tomas <jorge.mestre.tomas@csic.es>
Repository: CRAN
Date/Publication: 2024-09-02 12:30:22 UTC

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New package EQUALSTATS with initial version 0.3.0
Package: EQUALSTATS
Title: Algorithm Driven Statistical Analysis for Researchers without Coding Skills
Version: 0.3.0
Date: 2024-08-27
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>
Depends: stringr, shiny, zip
Imports: ggplot2, DescTools, cowplot, boot, pwr, ggcorrplot, survival, nnet, MASS, lmtest, pROC, ThresholdROC, ggsurvfit, lme4, lmerTest, mclogit, ordinal, coxme, MuMIn
Description: Support functions for R-based 'EQUAL-STATS' software which automatically classifies the data and performs appropriate statistical tests. 'EQUAL-STATS' software is a shiny application with an user-friendly interface to perform complex statistical analysis. Gurusamy,K (2024)<doi:10.5281/zenodo.13354162>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://sites.google.com/view/equal-group/home
NeedsCompilation: no
Packaged: 2024-08-27 15:15:59 UTC; kurin
Repository: CRAN
Date/Publication: 2024-09-02 12:10:08 UTC

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New package EQUALrepeat with initial version 0.3.0
Package: EQUALrepeat
Title: Algorithm Driven Time Series Analysis for Researchers without Coding Skills
Version: 0.3.0
Date: 2024-08-20
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>
Depends: stringr, stats, ggplot2, DescTools
Imports: zip, cowplot, rstatix, irr, forecast, tseries, urca, vars, viridisLite
Description: Support functions for R-based 'EQUAL-STATS' software which automatically classifies the data and performs appropriate statistical tests. 'EQUAL-STATS' software is a shiny application with an user-friendly interface to perform complex statistical analysis. Gurusamy,K (2024)<doi:10.5281/zenodo.13354162>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://sites.google.com/view/equal-group/home
NeedsCompilation: no
Packaged: 2024-08-27 15:19:08 UTC; kurin
Repository: CRAN
Date/Publication: 2024-09-02 12:10:05 UTC

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New package wintime with initial version 0.1.0
Package: wintime
Title: Win Time Methods for Time-to-Event Data in Clinical Trials
Version: 0.1.0
Description: Performs an analysis of time-to-event clinical trial data using various "win time" methods, including 'ewt', 'ewtr', 'rmt', 'max', 'wtr', 'rwtr', and 'pwt'. These methods are used to calculate and compare treatment effects on ordered composite endpoints. The package handles event times, event indicators, and treatment arm indicators and supports calculations on observed and resampled data. Detailed explanations of each method and usage examples are provided in "Use of win time for ordered composite endpoints in clinical trials," by Troendle et al. (2024)<https://pubmed.ncbi.nlm.nih.gov/38417455/>. For more information, see the package documentation or the vignette titled "Introduction to wintime."
URL: https://pubmed.ncbi.nlm.nih.gov/38417455/
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: survival
Suggests: testthat (>= 3.0.0), knitr, rmarkdown (>= 2.0)
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-08-27 14:17:34 UTC; troendlj
Author: James Troendle [aut, cre], Samuel Lawrence [aut]
Maintainer: James Troendle <james.troendle@nih.gov>
Repository: CRAN
Date/Publication: 2024-09-02 12:00:02 UTC

More information about wintime at CRAN
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New package TWW with initial version 0.0.1
Package: TWW
Title: Growth Models
Version: 0.0.1
Imports: stats
Description: A model for the growth of self-limiting populations using three, four, or five parameter functions, which have wide applications in a variety of fields. The dependent variable in a dynamical modeling could be the population size at time x, where x is the independent variable. In the analysis of quantitative polymerase chain reaction (qPCR), the dependent variable would be the fluorescence intensity and the independent variable the cycle number. This package then would calculate the TWW cycle threshold.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-27 14:38:30 UTC; dwilus
Author: Mohammad Tabatabai [aut], Derek Wilus [aut, cre]
Maintainer: Derek Wilus <dwilus@mmc.edu>
Repository: CRAN
Date/Publication: 2024-09-02 12:00:12 UTC

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New package dpasurv with initial version 0.1.0
Package: dpasurv
Title: Dynamic Path Analysis of Survival Data via Aalen's Additive Hazards Model
Version: 0.1.0
Maintainer: Matthias Kormaksson <mk375@cornell.edu>
Author: Novartis Pharma AG [cph], Matthias Kormaksson [aut, cre], Susanne Strohmaier [aut], Markus Lange [aut], David Demanse [aut]
Description: Dynamic path analysis with estimation of the corresponding direct, indirect, and total effects, based on Fosen et al., (2006) <doi:10.1007/s10985-006-9004-2>. The main outcome of interest is a counting process from survival analysis (or recurrent events) data. At each time of event, ordinary linear regression is used to estimate the relation between the covariates, while Aalen's additive hazard model is used for the regression of the counting process on the covariates.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: dplyr (>= 0.8.3), tidyr (>= 0.8.3), rlang (>= 0.4.0), ggplot2 (>= 3.2.0), survival (>= 2.44.1.1), timereg (>= 1.9.4), methods
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: http://opensource.nibr.com/dpasurv/
NeedsCompilation: no
Packaged: 2024-08-27 14:26:19 UTC; kormama4
Repository: CRAN
Date/Publication: 2024-09-02 12:00:05 UTC

More information about dpasurv at CRAN
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New package cbbinom with initial version 0.1.0
Package: cbbinom
Title: Continuous Analog of a Beta-Binomial Distribution
Version: 0.1.0
Description: Implementation of the d/p/q/r family of functions for a continuous analog to the standard discrete beta-binomial with continuous size parameter and continuous support with x in [0, size + 1].
License: MIT + file LICENSE
Suggests: extraDistr, ggplot2, testthat (>= 3.0.0)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2024-08-27 14:49:32 UTC; Admin
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6@163.com>
Repository: CRAN
Date/Publication: 2024-09-02 12:00:08 UTC

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Sat, 31 Aug 2024

New package baRulho with initial version 2.1.2
Package: baRulho
Title: Quantifying (Animal) Sound Degradation
Version: 2.1.2
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>
Description: Intended to facilitate acoustic analysis of (animal) sound transmission experiments, which typically aim to quantify changes in signal structure when transmitted in a given habitat by broadcasting and re-recording animal sounds at increasing distances. The package offers a workflow with functions to prepare the data set for analysis as well as to calculate and visualize several degradation metrics, including blur ratio, signal-to-noise ratio, excess attenuation and envelope correlation among others (Dabelsteen et al 1993 <doi:10.1121/1.406682>).
License: GPL (>= 2)
Imports: utils, stats, seewave, tuneR, fftw, methods, viridis, Sim.DiffProc, png, checkmate, cli, rlang
Depends: R (>= 3.2.1), warbleR (>= 1.1.32), ohun (>= 1.0.2)
LazyData: TRUE
URL: https://github.com/ropensci/baRulho, https://docs.ropensci.org/baRulho/
BugReports: https://github.com/ropensci/baRulho/issues
Suggests: rmarkdown, ggplot2, knitr, kableExtra, testthat (>= 3.0.0), covr, formatR, Rraven, monitoR
VignetteBuilder: knitr
Repository: CRAN
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-30 21:39:33 UTC; m
Author: Marcelo Araya-Salas [aut, cre] , Michael Mahoney [rev] , Dena Clink [rev]
Date/Publication: 2024-08-31 13:10:07 UTC

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Fri, 30 Aug 2024

New package antaresRead with initial version 2.7.1
Package: antaresRead
Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Version: 2.7.1
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
URL: https://github.com/rte-antares-rpackage/antaresRead, https://rte-antares-rpackage.github.io/antaresRead/
BugReports: https://github.com/rte-antares-rpackage/antaresRead/issues
License: GPL (>= 2) | file LICENSE
Imports: data.table (>= 1.9.6), bit64, lubridate (>= 1.7.1), plyr, methods, stats, stringr, stringi, shiny, pbapply, doParallel, jsonlite, httr, utils, memuse, purrr, lifecycle, assertthat
Suggests: testthat, covr, knitr, rmarkdown, foreach, parallel, htmltools
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-30 08:44:54 UTC; berthetcle
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], Clement Berthet [ctb], Kamel Kemiha [c [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>
Repository: CRAN
Date/Publication: 2024-08-30 16:30:02 UTC

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New package SurfRough with initial version 0.0.1.0
Package: SurfRough
Title: Calculate Surface/Image Texture Indexes
Version: 0.0.1.0
Description: Methods for the computation of surface/image texture indices using a geostatistical based approach (Trevisani et al. (2023) <doi:10.1016/j.geomorph.2023.108838>). It provides various functions for the computation of surface texture indices (e.g., omnidirectional roughness and roughness anisotropy), including the ones based on the robust MAD estimator. The kernels included in the software permit also to calculate the surface/image texture indices directly from the input surface (i.e., without de-trending) using increments of order 2. It also provides the new radial roughness index (RRI), representing the improvement of the popular topographic roughness index (TRI). The framework can be easily extended with ad-hoc surface/image texture indices.
License: MIT + file LICENSE
Encoding: UTF-8
BugReports: https://github.com/strevisani/SurfRough/issues
LazyData: true
Depends: R (>= 3.5.0), terra
Suggests: tinytest
URL: https://github.com/strevisani/SurfRough, https://doi.org/10.5281/zenodo.7132160
NeedsCompilation: no
Packaged: 2024-08-27 05:24:49 UTC; x
Maintainer: Sebastiano Trevisani <strevisani@iuav.it>
Author: Sebastiano Trevisani [aut, cre] , Ilich Alexander [ctb]
Repository: CRAN
Date/Publication: 2024-08-30 10:40:14 UTC

More information about SurfRough at CRAN
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New package sdsfun with initial version 0.1.0
Package: sdsfun
Title: Spatial Data Science Complementary Features
Version: 0.1.0
Description: Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.
License: GPL-3
Encoding: UTF-8
URL: https://spatlyu.github.io/sdsfun/, https://github.com/SpatLyu/sdsfun
BugReports: https://github.com/SpatLyu/sdsfun/issues
Depends: R (>= 4.1.0)
Imports: dplyr, geosphere, magrittr, sf, spdep, stats, tibble
Suggests: ggplot2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-08-27 12:18:26 UTC; dell
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-30 10:50:02 UTC

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New package psvmSDR with initial version 1.0.1
Package: psvmSDR
Title: Unified Principal Sufficient Dimension Reduction Package
Version: 1.0.1
Maintainer: Jungmin Shin <jungminshin@korea.ac.kr>
Description: A unified and user-friendly framework for applying the principal sufficient dimension reduction methods for both linear and nonlinear cases. The package has an extendable power by varying loss functions for the support vector machine, even for an user-defined arbitrary function, unless those are convex and differentiable everywhere over the support (Li et al. (2011) <doi:10.1214/11-AOS932>). Also, it provides a real-time sufficient dimension reduction update procedure using the principal least squares support vector machine (Artemiou et al. (2021) <doi:10.1016/j.patcog.2020.107768>).
License: GPL-2
Encoding: UTF-8
Imports: stats, graphics
Suggests: testthat
NeedsCompilation: no
Packaged: 2024-08-26 15:04:39 UTC; shin
Author: Jungmin Shin [aut, cre], Seung Jun Shin [aut], Andreas Artemiou [aut]
Repository: CRAN
Date/Publication: 2024-08-30 10:20:03 UTC

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New package minesweeper with initial version 1.0.0
Package: minesweeper
Title: Play Minesweeper
Version: 1.0.0
Description: Play and record games of minesweeper using a graphics device that supports event handling. Replay recorded games and save GIF animations of them. Based on classic minesweeper as detailed by Crow P. (1997) <https://minesweepergame.com/math/a-mathematical-introduction-to-the-game-of-minesweeper-1997.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: grid
Suggests: gifski
Depends: R (>= 2.10)
URL: https://github.com/hrryt/minesweeper
BugReports: https://github.com/hrryt/minesweeper/issues
NeedsCompilation: no
Packaged: 2024-08-27 01:43:15 UTC; hrtho
Author: Harry Thompson [aut, cre, cph]
Maintainer: Harry Thompson <harry@mayesfield.uk>
Repository: CRAN
Date/Publication: 2024-08-30 10:40:02 UTC

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New package kmeRtone with initial version 1.0
Package: kmeRtone
Version: 1.0
Date: 2024-08-26
Title: Multi-Purpose and Flexible k-Meric Enrichment Analysis Software
Description: A multi-purpose and flexible k-meric enrichment analysis software. 'kmeRtone' measures the enrichment of k-mers by comparing the population of k-mers in the case loci with a carefully devised internal negative control group, consisting of k-mers from regions close to, yet sufficiently distant from, the case loci to mitigate any potential sequencing bias. This method effectively captures both the local sequencing variations and broader sequence influences, while also correcting for potential biases, thereby ensuring more accurate analysis. The core functionality of 'kmeRtone' is the SCORE() function, which calculates the susceptibility scores for k-mers in case and control regions. Case regions are defined by the genomic coordinates provided in a file by the user and the control regions can be constructed relative to the case regions or provided directly. The k-meric susceptibility scores are calculated by using a one-proportion z-statistic. 'kmeRtone' is highly flexible by allowing use [...truncated...]
SystemRequirements: GNU make
Imports: data.table (>= 1.15.0), R6 (>= 2.5.1), Rcpp (>= 1.0.12), R.utils (>= 2.12.3), openxlsx (>= 4.2.5.2), png (>= 0.1-8), RcppSimdJson (>= 0.1.11), venneuler (>= 1.1-4), stringi, curl, future, future.apply, jsonlite, progressr, Biostrings, seqLogo
Depends: R (>= 4.2)
LinkingTo: Rcpp, stringi
URL: https://github.com/SahakyanLab/kmeRtone
BugReports: https://github.com/SahakyanLab/kmeRtone/issues
Encoding: UTF-8
License: GPL-3
LazyData: true
Suggests: rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-08-26 14:25:31 UTC; paddy
Author: Adib Abdullah [aut], Patrick Pflughaupt [aut], Aleksandr Sahakyan [aut, cre]
Maintainer: Aleksandr Sahakyan <sahakyanlab@cantab.net>
Repository: CRAN
Date/Publication: 2024-08-30 10:50:06 UTC

More information about kmeRtone at CRAN
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New package imputeMissings with initial version 0.0.4
Package: imputeMissings
Title: Impute Missing Values in a Predictive Context
Version: 0.0.4
Date: 2024-08-24
Imports: randomForest,stats
Description: Compute missing values on a training data set and impute them on a new data set. Current available options are median/mode and random forest.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-08-26 20:41:45 UTC; mballin2
Repository: CRAN
Date/Publication: 2024-08-30 10:40:08 UTC
Author: Matthijs Meire [aut], Michel Ballings [aut, cre], Dirk Van den Poel [aut]
Maintainer: Michel Ballings <michel.ballings@gmail.com>

More information about imputeMissings at CRAN
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New package hrtlFMC with initial version 0.1.0
Package: hrtlFMC
Title: Half Replicate of Two Level Factorial Run Order with Minimum Level Changes
Version: 0.1.0
Maintainer: Bijoy Chanda <bijoychanda08@gmail.com>
Description: It is used to construct run sequences with minimum changes for half replicate of two level factorial run order. Experimenter can save time and resources by minimizing the number of changes in levels of individual factor and therefore the total number of changes. It consists of the function minimal_hrtlf(). This technique can be employed to any half replicate of two level factorial run order where the number of factors are greater than two. In Design of Experiments (DOE) theory, two level of a factor can be represented as integers e.g. - 1 for low and 1 for high. User is expected to enter total number of factors to be considered in the experiment. minimal_hrtlf() provides the required run sequences for the input number of factors. The output also gives the number of changes of each factor along with total number of changes in the run sequence. Due to restricted randomization the minimally changed run sequences of half replicate of two level factorial run order will be affected by trend [...truncated...]
License: GPL-3
Imports: FMC
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-27 12:24:57 UTC; PC
Author: Arpan Bhowmik [aut, ctb, cph], Eldho Varghese [aut, ctb, cph], Seema Jaggi [aut, ctb, cph], Bijoy Chanda [aut, cre, cph], Anindita Datta [aut, ctb, cph], Tanuj Misra [aut, cph]
Repository: CRAN
Date/Publication: 2024-08-30 10:50:11 UTC

More information about hrtlFMC at CRAN
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New package ggreveal with initial version 0.1.3
Package: ggreveal
Title: Reveal a 'ggplot' Incrementally
Version: 0.1.3
Description: Provides functions that make it easy to reveal 'ggplot2' graphs incrementally. The functions take a plot produced with 'ggplot2' and return a list of plots showing data incrementally by panels, layers, groups, the values in an axis or any arbitrary aesthetic.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, ggplot2, ggplotify, lemon, rlang, stringr, tidyr
Suggests: testthat (>= 3.0.0), withr, vdiffr, mockery
URL: http://www.weverthon.com/ggreveal/, https://github.com/weverthonmachado/ggreveal
BugReports: https://github.com/weverthonmachado/ggreveal/issues
NeedsCompilation: no
Packaged: 2024-08-26 17:34:37 UTC; Macha010
Author: Weverthon Machado [aut, cre, cph]
Maintainer: Weverthon Machado <weverthonmachado@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-30 10:20:07 UTC

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New package flowmapper with initial version 0.1.1
Package: flowmapper
Title: Draw Flows (Migration, Goods, Money, Information) on 'ggplot2' Plots
Version: 0.1.1
Description: Adds flow maps to 'ggplot2' plots. The flow maps consist of 'ggplot2' layers which visualize the nodes as circles and the bilateral flows between the nodes as bidirectional half-arrows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, tidyr, forcats, scales
URL: https://github.com/JohMast/flowmapper
BugReports: https://github.com/JohMast/flowmapper/issues
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-08-26 14:42:51 UTC; johan
Author: Johannes Mast [aut, cre]
Maintainer: Johannes Mast <johannes.mast@dlr.de>
Repository: CRAN
Date/Publication: 2024-08-30 10:20:12 UTC

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New package dotty with initial version 0.1.0
Package: dotty
Title: The Unpacking Dot Operator
Version: 0.1.0
Description: Provides a `.` object which can be used for unpacking assignments. For example, `.[rows, columns] <- dim(cars)` could be used to pull the number of rows and number of columns from `dim(cars)` into individual variables `rows` and `columns` in a single step.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: codetools, testthat (>= 3.0.0)
URL: https://kevinushey.github.io/dotty/
NeedsCompilation: no
Packaged: 2024-08-26 18:03:11 UTC; kevin
Author: Kevin Ushey [aut, cre]
Maintainer: Kevin Ushey <kevinushey@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-30 10:30:02 UTC

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Thu, 29 Aug 2024

New package WH with initial version 1.1.2
Package: WH
Title: Enhanced Implementation of Whittaker-Henderson Smoothing
Version: 1.1.2
Description: An enhanced implementation of Whittaker-Henderson smoothing for the gradation of one-dimensional and two-dimensional actuarial tables used to quantify Life Insurance risks. 'WH' is based on the methods described in Biessy (2023) <doi:10.48550/arXiv.2306.06932>. Among other features, it generalizes the original smoothing algorithm to maximum likelihood estimation, automatically selects the smoothing parameter(s) and extrapolates beyond the range of data.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/GuillaumeBiessy/WH
BugReports: https://github.com/GuillaumeBiessy/WH/issues
Depends: R (>= 4.2)
Imports: stats
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-08-29 12:22:47 UTC; Guillaume Biessy
Author: Guillaume Biessy [aut, cre, cph]
Maintainer: Guillaume Biessy <guillaume.biessy78@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-29 22:40:06 UTC

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New package mirrorselect with initial version 0.0.3
Package: mirrorselect
Title: Test CRAN/Bioconductor Mirror Speed
Version: 0.0.3
Description: Testing CRAN and Bioconductor mirror speed by recording download time of 'src/base/COPYING' (for CRAN) and 'packages/release/bioc/html/ggtree.html' (for Bioconductor).
Depends: R (>= 3.4.0)
Imports: utils, yulab.utils (>= 0.1.7)
License: Artistic-2.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-26 13:53:45 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-29 19:10:02 UTC

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New package MALDIcellassay with initial version 0.4.47
Package: MALDIcellassay
Title: Automated MALDI Cell Assays Using Dose-Response Curve Fitting
Version: 0.4.47
Description: Conduct automated cell-based assays using Matrix-Assisted Laser Desorption/Ionization (MALDI) methods for high-throughput screening of signals responsive to treatments. The package efficiently identifies high variance signals and fits dose-response curves to them. Quality metrics such as Z', V', log2FC, and CRS are provided for evaluating the potential of signals as biomarkers. The methodologies were introduced by Weigt et al. (2018) <doi:10.1038/s41598-018-29677-z> and refined by Unger et al. (2021) <doi:10.1038/s41596-021-00624-z>.
License: MIT + file LICENSE
Imports: methods, ggplot2, nplr, dplyr, tidyr, forcats, scales, MALDIquant, MALDIquantForeign, tibble, svMisc, purrr
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Depends: R (>= 4.2)
URL: https://github.com/CeMOS-Mannheim/MALDIcellassay
BugReports: https://github.com/CeMOS-Mannheim/MALDIcellassay/issues
NeedsCompilation: no
Packaged: 2024-08-26 13:58:21 UTC; tenzl
Author: Thomas Enzlein [aut, cre, cph]
Maintainer: Thomas Enzlein <t.enzlein@hs-mannheim.de>
Repository: CRAN
Date/Publication: 2024-08-29 19:10:09 UTC

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New package fdesigns with initial version 1.0
Package: fdesigns
Title: Optimal Experimental Designs for Functional/Dynamic Models
Version: 1.0
Date: 2024-08-10
Maintainer: Damianos Michaelides <dm3g15@soton.ac.uk>
Description: Optimal experimental designs for functional linear and functional generalised linear models, for scalar responses and profile/dynamic factors. The designs are optimised using the coordinate exchange algorithm. The methods are discussed by Michaelides (2023) <https://eprints.soton.ac.uk/474982/1/Thesis_DamianosMichaelides_Final_pdfa_1_.pdf>.
License: GPL-2
Imports: Rcpp, Matrix, parallel, mvQuad, mvtnorm, stats, graphics
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-08-26 13:31:48 UTC; damianosmichaelides
Author: Damianos Michaelides [aut, cre], Antony Overstall [aut], Dave Woods [aut]
Repository: CRAN
Date/Publication: 2024-08-29 19:10:06 UTC

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New package timeEL with initial version 0.9.1
Package: timeEL
Title: Time to Event Analysis via Empirical Likelihood Inference
Version: 0.9.1
Description: Computation of t-year survival probabilities and t-year risks with right censored survival data. The Kaplan-Meier estimator is used to provide estimates for data without competing risks and the Aalen-Johansen estimator is used when there are competing risks. Confidence intervals and p-values are obtained using either usual Wald-type inference or empirical likelihood inference, as described in Thomas and Grunkemeier (1975) <doi:10.1080/01621459.1975.10480315> and Blanche (2020) <doi:10.1007/s10985-018-09458-6>. Functions for both one-sample and two-sample inference are provided. Unlike Wald-type inference, empirical likelihood inference always leads to consistent conclusions, in terms of statistical significance, when comparing two risks (or survival probabilities) via either a ratio or a difference.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: km.ci, prodlim, survival, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-08-26 09:27:56 UTC; paul
Author: Paul Blanche [aut, cre] , Frank Eriksson [ctb]
Maintainer: Paul Blanche <paulfblanche@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-29 19:00:01 UTC

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New package AirExposure with initial version 1.0
Package: AirExposure
Title: Exposure Model to Air Pollutants Based on Mobility and Daily Activities
Version: 1.0
Date: 2024-07-26
Author: Josefina Urquiza [aut, cre], Maria Florencia Tames [aut], Maela Lupo [aut], Alfredo Rigalli [aut]
Maintainer: Josefina Urquiza <jurquiza@conicet.gov.ar>
Description: Model that assesses daily exposure to air pollution, which considers daily population mobility on a geographical scale and the spatial and temporal variability of pollutant concentrations, in addition to traditional parameters such as exposure time and pollutant concentration.
License: GPL-3
URL: https://github.com/flortames/Air-Exposure-Model
Depends: R (>= 4.1.1)
Imports: dplyr, htmltools, httr, jsonlite, leaflet, htmlwidgets, lubridate, sf
NeedsCompilation: no
Packaged: 2024-08-23 19:45:54 UTC; mama
Repository: CRAN
Date/Publication: 2024-08-29 19:00:05 UTC

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New package tintin with initial version 0.2
Package: tintin
Title: Tintin Palette Generator
Version: 0.2
Description: Palettes generated from Tintin covers. There is one palette per cover, with a total of 24 palettes of 5 colours each. Includes functions to interpolate colors in order to create more colors based on the provided palettes.The data is based on Cyr, et al. (2004) <doi:10.1503/cmaj.1041405> and Wikipedia <https://en.wikipedia.org/wiki/The_Adventures_of_Tintin>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: dplyr, ggplot2, magrittr, rlang, scales, tidyr
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2024-08-25 16:20:49 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-08-29 15:20:02 UTC

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New package LorMe with initial version 1.0.0
Package: LorMe
Title: Lightening One-Code Resolving Microbial Ecology Solution
Version: 1.0.0
Maintainer: Ningqi Wang <2434066068@qq.com>
Description: Provides a robust collection of functions tailored for microbial ecology analysis, encompassing both data analysis and visualization. It introduces an encapsulation feature that streamlines the process into a summary object. With the initial configuration of this summary object, users can execute a wide range of analyses with a single line of code, requiring only two essential parameters for setup. The package delivers comprehensive outputs including analysis objects, statistical outcomes, and visualization-ready data, enhancing the efficiency of research workflows. Designed with user-friendliness in mind, it caters to both novices and seasoned researchers, offering an intuitive interface coupled with adaptable customization options to meet diverse analytical needs.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ape, ggalluvial, ggplot2, ggpubr, grDevices, magrittr, RColorBrewer, scales, stringr, tidyr, vegan, dplyr, igraph, Hmisc, fdrtool, agricolae, multcompView, DescTools, HH, coin
Suggests: testthat (>= 3.0.0), ggrepel, readr, patchwork, grid, permute, indicspecies, S4Vectors, tibble, DESeq2
NeedsCompilation: no
Packaged: 2024-08-25 14:29:31 UTC; wangningqi
Author: Ningqi Wang [aut, cre, cph], Yaozhong Zhang [aut], Geofei Jiang [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-08-29 15:20:06 UTC

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New package VPdtw with initial version 2.2.1
Package: VPdtw
Title: Variable Penalty Dynamic Time Warping
Version: 2.2.1
Date: 2024-08-27
Description: Variable Penalty Dynamic Time Warping (VPdtw) for aligning chromatographic signals. With an appropriate penalty this method performs good alignment of chromatographic data without deforming the peaks (Clifford, D., Stone, G., Montoliu, I., Rezzi S., Martin F., Guy P., Bruce S., and Kochhar S.(2009) <doi:10.1021/ac802041e>; Clifford, D. and Stone, G. (2012) <doi:10.18637/jss.v047.i08>).
License: GPL-2
URL: https://github.com/ethanbass/VPdtw/
BugReports: https://github.com/ethanbass/VPdtw/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), vdiffr
NeedsCompilation: yes
Packaged: 2024-08-27 18:29:45 UTC; ethanbass
Author: David Clifford [aut], Glenn Stone [aut], Ethan Bass [ctb, cre]
Maintainer: Ethan Bass <ethanbass@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-29 07:30:09 UTC

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New package quanteda.textmodels with initial version 0.9.8
Package: quanteda.textmodels
Title: Scaling Models and Classifiers for Textual Data
Version: 0.9.8
Description: Scaling models and classifiers for sparse matrix objects representing textual data in the form of a document-feature matrix. Includes original implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>, 'Wordscores' model, the Perry and 'Benoit' (2017) <doi:10.48550/arXiv.1710.08963> class affinity scaling model, and the 'Slapin' and 'Proksch' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish' model, as well as methods for correspondence analysis, latent semantic analysis, and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.
Depends: R (>= 3.1.0), methods
Imports: glmnet, LiblineaR, Matrix (>= 1.2), quanteda (>= 4.0.0), RSpectra, Rcpp (>= 0.12.12), SparseM, stringi
Suggests: ca, covr, fastNaiveBayes, knitr, lsa, microbenchmark, naivebayes, quanteda.textplots, spelling, testthat, rmarkdown
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.600.1.0), quanteda
URL: https://github.com/quanteda/quanteda.textmodels
License: GPL-3
Encoding: UTF-8
LazyData: true
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-08-28 15:48:03 UTC; kbenoit
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Patrick O. Perry [aut] , Benjamin Lauderdale [aut] , Johannes Gruber [aut] , William Lowe [aut] , Vikas Sindhwani [cph] , European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Repository: CRAN
Date/Publication: 2024-08-29 07:30:02 UTC

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Wed, 28 Aug 2024

New package WOAkMedoids with initial version 0.1.0
Package: WOAkMedoids
Depends: R (>= 3.5.0)
Title: Whale Optimization Algorithm for K-Medoids Clustering
Version: 0.1.0
Date: 2024-08-03
Encoding: UTF-8
Description: Implements the Whale Optimization Algorithm(WOA) for k-medoids clustering, providing tools for effective and efficient cluster analysis in various data sets. The methodology is based on "The Whale Optimization Algorithm" by Mirjalili and Lewis (2016) <doi:10.1016/j.advengsoft.2016.01.008>.
License: GPL (>= 2)
Imports: dtwclust, proxy, cluster, Rcpp (>= 1.0.11)
LinkingTo: Rcpp
LazyData: true
NeedsCompilation: yes
Packaged: 2024-08-24 11:56:39 UTC; chan
Author: Chenan Huang [aut, cre], Narumasa Tsutsumida [aut]
Maintainer: Chenan Huang <hualianchan@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:50:02 UTC

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New package tican with initial version 1.0.1
Package: tican
Title: Plot and Analyse Time-Intensity Data
Version: 1.0.1
Maintainer: Samuel James Tingle <samjamestingle@gmail.com>
Description: Plots and analyzes time-intensity curve data, such as data from (contrast-enhanced) ultrasound. Values such as peak intensity, time to peak and area under the curve are calculated.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/sjtingle/tican
BugReports: https://github.com/sjtingle/tican/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-23 09:19:58 UTC; samueltingle
Author: Samuel James Tingle [aut, cre]
Repository: CRAN
Date/Publication: 2024-08-28 08:10:01 UTC

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New package rYWAASB with initial version 0.1
Package: rYWAASB
Title: Simultaneous Selection of Trait and WAASB Index
Version: 0.1
Date: 2024-8-16.
Maintainer: Ali Arminian <abeyran@gmail.com>
Description: Proposes a new ranking algorithm that utilizes a "Y*WAASB" biplot generated from the 'metan' package. The aim of the package is to effectively distinguish the top-ranked genotypes. For a detailed explanation of the process of obtaining a "Y*WAASB" biplot and the related data, please refer to the manual included in this package as well as the study by Olivoto & Lúcio (2020) <doi:10.1111/2041-210X.13384>. In this context, "WAASB" refers to the "Weighted Average of Absolute Scores" provided by Olivoto et al. (2019) <doi:10.2134/agronj2019.03.0220>, which quantifies the stability of genotypes across different environments using linear mixed-effect models. In order to run the package, it is necessary to extract the "WAASB" coefficients using the 'metan' package.
License: GPL-3
URL: https://github.com/abeyran/Stability1
BugReports: https://github.com/abeyran/Stability1/issues
Depends: R (>= 3.5)
Imports: ggplot2, graphics
Suggests: car, metan, devtools, usethis, testthat, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Copyright: Ali Arminian.
Language: en-US
LazyData: true
LazyLoad: true
NeedsCompilation: no
Author: Ali Arminian [aut, cre, cph]
Packaged: 2024-08-23 13:19:02 UTC; Administrator
Repository: CRAN
Date/Publication: 2024-08-28 08:20:02 UTC

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New package neuroUp with initial version 0.3.1
Package: neuroUp
Title: Plan Sample Size for Task fMRI Research using Bayesian Updating
Version: 0.3.1
Description: Calculate the precision in mean differences (raw or Cohen's D) and correlation coefficients for different sample sizes. Uses permutations of the collected functional magnetic resonance imaging (fMRI) region of interest data. Method described in Klapwijk, Jongerling, Hoijtink and Crone (2024) <doi:10.31234/osf.io/cz32t>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Imports: dplyr, rlang, ggplot2, psychometric, tibble, magrittr, bootstrap
Suggests: knitr, readr, rmarkdown, testthat (>= 3.0.0), vdiffr
Depends: R (>= 2.10)
VignetteBuilder: knitr
URL: https://eduardklap.github.io/neuroUp/, https://github.com/eduardklap/neuroUp
BugReports: https://github.com/eduardklap/neuroUp/issues
Packaged: 2024-08-23 13:23:08 UTC; eduardklapwijk
Author: Eduard Klapwijk [aut, cre, cph] , Herbert Hoijtink [aut, cph] , Joran Jongerling [aut, cph]
Maintainer: Eduard Klapwijk <et.klapwijk@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:20:05 UTC

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New package IgorR with initial version 0.9.0
Package: IgorR
Title: Read Binary Files Saved by 'Igor Pro' (Including 'Neuromatic' Data)
Version: 0.9.0
Description: Provides function to read data from the 'Igor Pro' data analysis program by 'Wavemetrics'. The data formats supported are 'Igor' packed experiment format ('pxp') and 'Igor' binary wave ('ibw'). See: <https://www.wavemetrics.com/> for details. Also includes functions to load special 'pxp' files produced by the 'Igor Pro' 'Neuromatic' and 'Nclamp' packages for recording and analysing neuronal data. See <https://github.com/SilverLabUCL/NeuroMatic> for details.
Imports: bitops, tools, timechange
Suggests: spelling, testthat
License: GPL (>= 2)
LazyLoad: yes
Language: en-GB
Encoding: UTF-8
URL: https://github.com/jefferis/IgorR, https://jefferis.github.io/IgorR/
BugReports: https://github.com/jefferis/IgorR/issues
NeedsCompilation: no
Packaged: 2024-08-23 09:30:04 UTC; jefferis
Author: Gregory Jefferis [aut, cre] , Thomas Braun [ctb]
Maintainer: Gregory Jefferis <jefferis@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:20:09 UTC

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New package idiolect with initial version 1.0.1
Package: idiolect
Title: Forensic Authorship Analysis
Version: 1.0.1
Description: Carry out comparative authorship analysis of disputed and undisputed texts within the Likelihood Ratio Framework for expressing evidence in forensic science. This package contains implementations of well-known algorithms for comparative authorship analysis, such as Smith and Aldridge's (2011) Cosine Delta <doi:10.1080/09296174.2011.533591> or Koppel and Winter's (2014) Impostors Method <doi:10.1002/asi.22954>, as well as functions to measure their performance and to calibrate their outputs into Log-Likelihood Ratios.
License: GPL (>= 2)
URL: https://github.com/andreanini/idiolect, https://andreanini.github.io/idiolect/
BugReports: https://github.com/andreanini/idiolect/issues
Depends: quanteda, R (>= 3.5.0)
Imports: caret, dplyr, fdrtool, ggplot2, kgrams, pbapply, pROC, proxy, quanteda.textstats, spacyr, stringr, textclean
Suggests: knitr, readtext, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-24 20:41:00 UTC; mzjssan4
Author: Andrea Nini [aut, cre, cph] , David van Leeuwen [cph]
Maintainer: Andrea Nini <andrea.nini@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2024-08-28 09:00:02 UTC

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New package hetsurrSurv with initial version 1.0
Package: hetsurrSurv
Title: Assessing Heterogeneity in Surrogacy Using Censored Data
Version: 1.0
Date: 2024-08-18
Description: Provides functions to assess and test for heterogeneity in the utility of a surrogate marker with respect to a baseline covariate using censored (survival data), and to test for heterogeneity across multiple time points. More details are available in Parast et al (2024) <doi:10.1002/sim.10122>.
License: GPL
Imports: stats, Rsurrogate, MASS, groc
NeedsCompilation: no
Packaged: 2024-08-23 11:11:25 UTC; parastlm
Author: Layla Parast [aut, cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-08-28 08:10:09 UTC

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New package evola with initial version 1.0.1
Package: evola
Version: 1.0.1
Date: 2024-08-23
Title: Evolutionary Algorithm
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>
Description: Runs a genetic algorithm using the 'AlphaSimR' machinery <doi:10.1093/g3journal/jkaa017> and the coalescent simulator 'MaCS' <doi:10.1101/gr.083634.108>.
Depends: R(>= 3.5.0), AlphaSimR (>= 1.4.2), Matrix (>= 1.0), methods, crayon
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
NeedsCompilation: yes
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Repository: CRAN
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Packaged: 2024-08-24 04:42:15 UTC; giovannycovarrubias
Date/Publication: 2024-08-28 08:40:02 UTC

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New package dbw with initial version 1.1.4
Package: dbw
Title: Doubly Robust Distribution Balancing Weighting Estimation
Version: 1.1.4
Description: Implements the doubly robust distribution balancing weighting proposed by Katsumata (2024) <doi:10.1017/psrm.2024.23>, which improves the augmented inverse probability weighting (AIPW) by estimating propensity scores with estimating equations suitable for the pre-specified parameter of interest (e.g., the average treatment effects or the average treatment effects on the treated) and estimating outcome models with the estimated inverse probability weights. It also implements the covariate balancing propensity score proposed by Imai and Ratkovic (2014) <doi:10.1111/rssb.12027> and the entropy balancing weighting proposed by Hainmueller (2012) <doi:10.1093/pan/mpr025>, both of which use covariate balancing conditions in propensity score estimation. The point estimate of the parameter of interest and its uncertainty as well as coefficients for propensity score estimation and outcome regression are produced using the M-estimation. The same functions can be used to estimate [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Suggests: mgcv
URL: https://github.com/hirotokatsumata/dbw
BugReports: https://github.com/hirotokatsumata/dbw/issues
NeedsCompilation: no
Packaged: 2024-08-23 12:29:20 UTC; hkatsumata
Author: Hiroto Katsumata [aut, cre, cph]
Maintainer: Hiroto Katsumata <hrt.katsumata@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:10:16 UTC

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New package DataSum with initial version 0.1.0
Package: DataSum
Title: Comprehensive Data Summarization for Statistical Analysis
Version: 0.1.0
Description: Summarizing data frames by calculating various statistical measures, including measures of central tendency, dispersion, skewness(), kurtosis(), and normality tests. The package leverages the 'moments' package for calculating statistical moments and related measures, the 'dplyr' package for data manipulation, and the 'nortest' package for normality testing. 'DataSum' includes functions such as getmode() for finding the mode(s) of a data vector, shapiro_normality_test() for performing the Shapiro-Wilk test (Shapiro & Wilk 1965 <doi:10.1093/biomet/52.3-4.591>) (or the Anderson-Darling test when the data length is outside the valid range for the Shapiro-Wilk test) (Stephens 1974 <doi:10.1080/01621459.1974.10480196>), Datum() for generating a comprehensive summary of a data vector with various statistics (including data type, sample size, mean, mode, median, variance, standard deviation, maximum, minimum, range, skewness(), kurtosis(), and normality test result) (Joanes &am [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: moments, dplyr, nortest, stats
URL: https://github.com/Uzairkhan11w/DataSum
BugReports: https://github.com/Uzairkhan11w/DataSum/issues
NeedsCompilation: no
Packaged: 2024-08-24 12:30:19 UTC; Uzair
Author: Immad Ahmad Shah [aut], Uzair Javid Khan [aut, cre], Sukhdev Mishra [aut]
Maintainer: Uzair Javid Khan <uzairkhan11w@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:50:06 UTC

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New package capesData with initial version 0.0.1
Package: capesData
Title: Data on Scholarships in CAPES International Mobility Programs
Version: 0.0.1
Description: Information on activities to promote scholarships in Brazil and abroad for international mobility programs, recorded in Capes' computerized payment systems. The CAPES database refers to international mobility programs for the period from 2010 to 2019 <https://dadosabertos.capes.gov.br/dataset/>.
License: CC0
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-08-23 14:49:42 UTC; Usuario
Author: Leonardo Biazoli [aut, cre] , Mine Cetinkaya-Rundel [aut] , Eric Fernandes de Mello Araujo [aut] , Izabela R. Cardoso de Oliveira [aut]
Maintainer: Leonardo Biazoli <leonardobiazoli19@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:30:01 UTC

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New package bullseye with initial version 0.1.0
Package: bullseye
Title: Visualising Multiple Pairwise Variable Correlations and Other Scores
Version: 0.1.0
Description: We provide a tidy data structure and visualisations for multiple or grouped variable correlations, general association measures scagnostics and other pairwise scores suitable for numerical, ordinal and nominal variables. Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, dplyr, cli, rlang, ggplot2, labeling, ggiraph, DendSer, tidyr, polycor
Suggests: DescTools, acepack, energy, linkspotter, minerva, scagnostics, testthat (>= 3.0.0), knitr, rmarkdown, correlation, palmerpenguins, kableExtra, openintro, corrplot
VignetteBuilder: knitr
URL: https://cbhurley.github.io/bullseye/, https://github.com/cbhurley/bullseye
NeedsCompilation: no
Packaged: 2024-08-23 16:19:50 UTC; catherine
Author: Amit Chinwan [aut], Catherine Hurley [aut, cre]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>
Repository: CRAN
Date/Publication: 2024-08-28 08:40:06 UTC

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New package bage with initial version 0.7.4
Package: bage
Title: Bayesian Estimation and Forecasting of Age-Specific Rates
Version: 0.7.4
Description: Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on 'Template Model Builder'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.3.0)
Imports: cli, generics, Matrix, matrixStats, methods, parallel, poputils, rvec, stats, tibble, TMB, utils, vctrs
Suggests: bookdown, dplyr, ggplot2, knitr, lifecycle, rmarkdown, testthat (>= 3.0.0), tidyr
LinkingTo: TMB, RcppEigen
VignetteBuilder: knitr
URL: https://bayesiandemography.github.io/bage/, https://github.com/bayesiandemography/bage
BugReports: https://github.com/bayesiandemography/bage/issues
NeedsCompilation: yes
Packaged: 2024-08-23 12:31:29 UTC; johnbryant
Author: John Bryant [aut, cre], Junni Zhang [aut], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>
Repository: CRAN
Date/Publication: 2024-08-28 08:10:20 UTC

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New package MatrixHMM with initial version 1.0.0
Package: MatrixHMM
Title: Parsimonious Families of Hidden Markov Models for Matrix-Variate Longitudinal Data
Version: 1.0.0
Description: Implements three families of parsimonious hidden Markov models (HMMs) for matrix-variate longitudinal data using the Expectation-Conditional Maximization (ECM) algorithm. The package supports matrix-variate normal, t, and contaminated normal distributions as emission distributions. For each hidden state, parsimony is achieved through the eigen-decomposition of the covariance matrices associated with the emission distribution. This approach results in a comprehensive set of 98 parsimonious HMMs for each type of emission distribution. Atypical matrix detection is also supported, utilizing the fitted (heavy-tailed) models.
License: GPL (>= 3)
Encoding: UTF-8
Imports: data.table, doSNOW, foreach, LaplacesDemon, mclust, progress, snow, tensor, tidyr, withr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-08-22 16:58:17 UTC; Daniele
Author: Salvatore D. Tomarchio [aut, cre]
Maintainer: Salvatore D. Tomarchio <daniele.tomarchio@unict.it>
Repository: CRAN
Date/Publication: 2024-08-28 08:00:06 UTC

More information about MatrixHMM at CRAN
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New package FishProxCompAnalyzer with initial version 0.1.0
Package: FishProxCompAnalyzer
Title: Proximate Composition Analysis of Fish and Feed Ingredients
Version: 0.1.0
Maintainer: Tanuj Misra <tanujmisra102@gmail.com>
Description: The proximate composition analysis is the quantification of main components that constitutes nutritional profile of any food and food products including fish, shellfish, fish feed and their ingredients. Understanding this composition is essential for evaluating their nutritional value and for making informed dietary choices. The primary components typically analyzed include; moisture/ water in foods, crude protein, crude fat/ lipid, total ash, fiber and carbohydrates AOAC(2005,ISBN:0-935584-77-3). In case of fish, shellfish and its products, the proximate composition consists of four primary constituents - water, protein, fat, and ash (mostly minerals). Fish exhibit significant variation in their chemical makeup based on age, sex, environment, and season, both within the same species and between individual fish. There is minimal fluctuation in the content of ash and protein. The lipid concentration varies remarkably and is inversely correlated with the water content. In case of fish, c [...truncated...]
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-23 05:50:14 UTC; PC
Author: Girija Saurabh Behere [aut, ctb, cph], Tanuj Misra [aut, cre, ctb, cph], Sudhanshu Raman [aut, ctb, cph], Ganesh Kumar [aut, ctb, cph], Anuj Tyagi [aut, ctb, cph], Abhishek Srivastava [aut, ctb, cph]
Repository: CRAN
Date/Publication: 2024-08-28 07:40:02 UTC

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Tue, 27 Aug 2024

New package quanteda.textplots with initial version 0.95
Package: quanteda.textplots
Title: Plots for the Quantitative Analysis of Textual Data
Version: 0.95
Description: Plotting functions for visualising textual data. Extends 'quanteda' and related packages with plot methods designed specifically for text data, textual statistics, and models fit to textual data. Plot types include word clouds, lexical dispersion plots, scaling plots, network visualisations, and word 'keyness' plots.
License: GPL-3
Imports: quanteda, extrafont, ggplot2, ggrepel, grid, sna, igraph, Matrix, methods, network, RColorBrewer, Rcpp (>= 0.12.12), stringi
LinkingTo: Rcpp
Suggests: knitr, quanteda.textmodels, quanteda.textstats, rmarkdown, spelling, testthat, wordcloud
Encoding: UTF-8
BugReports: https://github.com/quanteda/quanteda.textplots/issues
Language: en-GB
NeedsCompilation: yes
Packaged: 2024-08-27 16:45:01 UTC; kbenoit
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Adam Obeng [aut] , Stefan Mueller [aut] , Akitaka Matsuo [aut] , Ian Fellows [cph] ), European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Repository: CRAN
Date/Publication: 2024-08-28 03:50:03 UTC

More information about quanteda.textplots at CRAN
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New package ARDECO with initial version 2.0.0
Package: ARDECO
Title: Annual Regional Database of the European Commission (ARDECO)
Version: 2.0.0
Description: A set of functions to access the 'ARDECO' (Annual Regional Database of the European Commission) data directly from the official ARDECO public repository through the exploitation of the 'ARDECO' APIs. The APIs are completely transparent to the user and the provided functions provide a direct access to the 'ARDECO' data. The 'ARDECO' database is a collection of variables related to demography, employment, labour market, domestic product, capital formation. Each variable can be exposed in one or more units of measure as well as refers to total values plus economic sectors. The description of the 'ARDECO' database can be found at the following URL <https://urban.jrc.ec.europa.eu/ardeco>.
Depends: R (>= 4.2.0),
Imports: httr, ghql, rjstat, jsonlite, stringr, dplyr, tidyr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-27 16:59:03 UTC; attar
Author: Carmelo Attardo [cre], Giuseppe Bucciarelli [aut], European Commission, JRC [cph]
Maintainer: Carmelo Attardo <carmelo.attardo@ec.europa.eu>
Repository: CRAN
Date/Publication: 2024-08-28 03:50:06 UTC

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New package RcppBessel with initial version 1.0.0
Package: RcppBessel
Title: Bessel Functions Rcpp Interface
Version: 1.0.0
Maintainer: Alexios Galanos <alexios@4dscape.com>
Description: Exports an 'Rcpp' interface for the Bessel functions in the 'Bessel' package, which can then be called from the 'C++' code of other packages. For the original 'Fortran' implementation of these functions see Amos (1995) <doi:10.1145/212066.212078>.
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp (>= 1.0.12), Rdpack
URL: https://github.com/alexiosg/RcppBessel
Suggests: knitr, rmarkdown, roxygen2, Bessel, testthat (>= 3.0.0), microbenchmark
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-08-22 16:09:28 UTC; alexios
Author: Alexios Galanos [aut, cre] , Martin Maechler [aut] , Donald E. Amos [aut]
Repository: CRAN
Date/Publication: 2024-08-27 16:30:14 UTC

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New package kerntools with initial version 1.0.1
Package: kerntools
Title: Kernel Functions and Tools for Machine Learning Applications
Version: 1.0.1
Description: Kernel functions for diverse types of data (including, but not restricted to: nonnegative and real vectors, real matrices, categorical and ordinal variables, sets, strings), plus other utilities like kernel similarity, kernel Principal Components Analysis (PCA) and features' importance for Support Vector Machines (SVMs), which expand other 'R' packages like 'kernlab'.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Imports: dplyr, ggplot2, kernlab, methods, reshape2, stats, stringi
VignetteBuilder: knitr
Depends: R (>= 2.10)
Language: en-US
NeedsCompilation: no
Packaged: 2024-08-22 12:35:40 UTC; syko
Author: Elies Ramon [aut, cre, cph]
Maintainer: Elies Ramon <eramon@everlyrusher.com>
Repository: CRAN
Date/Publication: 2024-08-27 16:30:06 UTC

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New package Goodreader with initial version 0.1.0
Package: Goodreader
Title: Scrape and Analyze 'Goodreads' Book Data
Version: 0.1.0
Description: A comprehensive toolkit for scraping and analyzing book data from <https://www.goodreads.com/>. This package provides functions to search for books, scrape book details and reviews, perform sentiment analysis on reviews, and conduct topic modeling. It's designed for researchers, data analysts, and book enthusiasts who want to gain insights from 'Goodreads' data.
License: GPL-3
Encoding: UTF-8
Imports: cld2, dplyr, ggplot2, httr, lubridate, magrittr, parallel, purrr, rvest, rlang, stringr, tidyr, tidytext, tm, topicmodels, utils, wordcloud2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-22 15:33:13 UTC; psych
Author: Chao Liu Liu [aut, cre, cph]
Maintainer: Chao Liu Liu <chaoliu@cedarville.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-08-27 16:30:18 UTC

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New package GephiForR with initial version 0.1.0
Package: GephiForR
Title: 'Gephi' Network Visualization
Version: 0.1.0
Maintainer: Julia Manso <gephiforr@gmail.com>
Description: Implements key features of 'Gephi' for network visualization, including 'ForceAtlas2' (with LinLog mode), network scaling, and network rotations. It also includes easy network visualization tools such as edge and node color assignment for recreating 'Gephi'-style graphs in R. The package references layout algorithms developed by Jacomy, M., Venturini T., Heymann S., and Bastian M. (2014) <doi:10.1371/journal.pone.0098679> and Noack, A. (2009) <doi:10.48550/arXiv.0807.4052>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: igraph, Rdpack
NeedsCompilation: no
Packaged: 2024-08-22 21:14:50 UTC; JuliaManso
Author: Julia Manso [aut, cre]
Repository: CRAN
Date/Publication: 2024-08-27 16:50:06 UTC

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New package fluxible with initial version 0.0.1
Package: fluxible
Title: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup
Version: 0.0.1
Description: Processes the raw data from closed loop flux chamber (or tent) setups into ecosystem gas fluxes usable for analysis. It goes from a data frame of gas concentration over time (which can contain several measurements) and a meta data file indicating which measurement was done when, to a data frame of ecosystem gas fluxes including quality diagnostics. Functions provided include different models (exponential as described in Zhao et al (2018) <doi:10.1016/j.agrformet.2018.08.022>, quadratic and linear) to estimate the fluxes from the raw data, quality assessment, plotting for visual check and calculation of fluxes based on the setup specific parameters (chamber size, plot area, ...).
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
Imports: broom, dplyr, ggforce, ggplot2, haven, lubridate, rlang, purrr, stats, stringr, tidyr, zoo, progress
Depends: R (>= 4.1)
LazyData: true
URL: https://plant-functional-trait-course.github.io/fluxible/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-22 13:27:11 UTC; jga051
Author: Joseph Gaudard [aut, cre] , Paul Efren [aut], Michael Mustri [aut], Pekka O Niittynen [aut], Richard James Telford [aut]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>
Repository: CRAN
Date/Publication: 2024-08-27 16:30:10 UTC

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New package ClustMC with initial version 0.1.1
Package: ClustMC
Title: Cluster-Based Multiple Comparisons
Version: 0.1.1
Description: Multiple comparison techniques are typically applied following an F test from an ANOVA to decide which means are significantly different from one another. As an alternative to traditional methods, cluster analysis can be performed to group the means of different treatments into non-overlapping clusters. Treatments in different groups are considered statistically different. Several approaches have been proposed, with varying clustering methods and cut-off criteria. This package implements cluster-based multiple comparisons tests and also provides a visual representation in the form of a dendrogram. Di Rienzo, J. A., Guzman, A. W., & Casanoves, F. (2002) <jstor.org/stable/1400690>. Bautista, M. G., Smith, D. W., & Steiner, R. L. (1997) <doi:10.2307/1400402>.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: cli, dplyr, graphics, lifecycle, magrittr, procs, psych, stats, usedist
Encoding: UTF-8
Suggests: ggdendro, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/SGS2000/ClustMC, https://sgs2000.github.io/ClustMC/
BugReports: https://github.com/SGS2000/ClustMC/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-22 17:18:31 UTC; santi
Author: Santiago Garcia Sanchez [aut, cre, cph]
Maintainer: Santiago Garcia Sanchez <santiagoesquel@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-27 16:40:07 UTC

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New package kdml with initial version 1.0.0
Package: kdml
Title: Kernel Distance Metric Learning for Mixed-Type Data
Version: 1.0.0
Maintainer: John R. J. Thompson <john.thompson@ubc.ca>
Description: Distance metrics for mixed-type data consisting of continuous, nominal, and ordinal variables. This methodology uses additive and product kernels to calculate similarity functions and metrics, and selects variables relevant to the underlying distance through bandwidth selection via maximum similarity cross-validation. These methods can be used in any distance-based algorithm, such as distance-based clustering. For further details, we refer the reader to Ghashti and Thompson (2024) <<doi:10.48550/arXiv.2306.01890>> for dkps() methodology, and Ghashti (2024) <doi:10.14288/1.0443975> for dkss() methodology.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0), np
Imports: MASS, markdown
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-21 21:56:46 UTC; Mango
Author: Jesse S. Ghashti [aut], John R. J. Thompson [aut, cre]
Repository: CRAN
Date/Publication: 2024-08-27 11:30:05 UTC

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New package ChessGmooG with initial version 0.1.0
Package: ChessGmooG
Title: FIDE Chess Players Ratings for 2015 and 2020
Version: 0.1.0
Description: Datasets of the International Chess Federation's player ratings and country information analysed in the book Antony Unwin (2024, ISBN:978-0367674007) "Getting (more out of) Graphics".
Depends: R (>= 3.5)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-08-22 09:24:17 UTC; antonyunwin2
Author: Antony Unwin [aut, cre, cph]
Maintainer: Antony Unwin <unwin@math.uni-augsburg.de>
Repository: CRAN
Date/Publication: 2024-08-27 11:50:05 UTC

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New package cctest with initial version 1.0.0
Package: cctest
Version: 1.0.0
Title: Canonical Correlations and Tests of Independence
Description: A simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, standard non-exact versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.
Author: Robert Schlicht [aut, cre]
Maintainer: Robert Schlicht <robert.schlicht@tu-dresden.de>
License: EUPL (>= 1.1)
Imports: stats
NeedsCompilation: no
Packaged: 2024-08-22 03:45:13 UTC; Schlicht
Repository: CRAN
Date/Publication: 2024-08-27 11:40:06 UTC

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New package amadeus with initial version 1.0.6
Package: amadeus
Title: Accessing and Analyzing Large-Scale Environmental Data
Version: 1.0.6
Maintainer: Kyle Messier <kyle.messier@nih.gov>
Description: Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calc_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For calc_sedc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.
Depends: R (>= 4.1.0)
Imports: dplyr, sf, sftime, stats, terra, methods, data.table, httr, rvest, exactextractr, utils, stringi, testthat (>= 3.0.0), parallelly, stars, future, future.apply, tidyr, rlang, nhdplusTools, archive, collapse, Rdpack
Suggests: covr, withr, knitr, rmarkdown, lwgeom, FNN, doRNG, devtools, stringr, tigris, spelling
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
License: MIT + file LICENSE
URL: https://github.com/NIEHS/amadeus
BugReports: https://github.com/NIEHS/amadeus/issues
Language: en-US
NeedsCompilation: no
Packaged: 2024-08-21 14:50:24 UTC; manwareme
Author: Mitchell Manware [aut, ctb] , Insang Song [aut, ctb] , Eva Marques [aut, ctb] , Mariana Alifa Kassien [aut, ctb] , Kyle Messier [aut, cre] , Spatiotemporal Exposures and Toxicology Group [cph]
Repository: CRAN
Date/Publication: 2024-08-27 11:20:21 UTC

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New package MantaID with initial version 1.0.3
Package: MantaID
Title: A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs
Version: 1.0.3
Description: The number of biological databases is growing rapidly, but different databases use different IDs to refer to the same biological entity. The inconsistency in IDs impedes the integration of various types of biological data. To resolve the problem, we developed 'MantaID', a data-driven, machine-learning based approach that automates identifying IDs on a large scale. The 'MantaID' model's prediction accuracy was proven to be 99%, and it correctly and effectively predicted 100,000 ID entries within two minutes. 'MantaID' supports the discovery and exploitation of ID patterns from large quantities of databases. (e.g., up to 542 biological databases). An easy-to-use freely available open-source software R package, a user-friendly web application, and API were also developed for 'MantaID' to improve applicability. To our knowledge, 'MantaID' is the first tool that enables an automatic, quick, accurate, and comprehensive identification of large quantities of IDs, and can therefore be used as a [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.4.0),biomaRt,caret,keras,mlr3tuning,mlr3
LazyData: true
URL: https://molaison.github.io/MantaID/
Imports: ggplot2,data.table,magrittr,stringr,tibble,tidyr,tidyselect,ggcorrplot,reshape2,scutr,paradox,RColorBrewer,purrr,dplyr
Suggests: mlr3hyperband,mlr3learners,ranger,rpart,xgboost
NeedsCompilation: no
Packaged: 2024-08-27 07:35:03 UTC; pc
Author: Zhengpeng Zeng [aut, cre, ctb] , Longfei Mao [aut, cph] , Feng Yu [aut] , Jiamin Hu [ctb] , Xiting Wang [ctb]
Maintainer: Zhengpeng Zeng <molaison@foxmail.com>
Repository: CRAN
Date/Publication: 2024-08-27 08:40:02 UTC

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Mon, 26 Aug 2024

New package wikiprofiler with initial version 0.1.5
Package: wikiprofiler
Title: 'WikiPathway' Based Data Integration and Visualization
Version: 0.1.5
Description: Queries online 'WikiPathway' graphics and allows mapping user data (e.g., expression values) on the graph. The package designs a grammar of graphic syntax that using pipe operator to add graphic layer.
Imports: ggplot2, ggplotify, grDevices, grid, gson, rsvg, yulab.utils (>= 0.1.7)
ByteCompile: true
License: Artistic-2.0
URL: https://yulab-smu.top/contribution-knowledge-mining/
BugReports: https://github.com/YuLab-SMU/wikiprofiler/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-26 07:13:12 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre, cph] , Yihao Chen [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-26 19:30:01 UTC

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New package rJavaEnv with initial version 0.1.2
Package: rJavaEnv
Title: 'Java' Environments for R Projects
Version: 0.1.2
Description: The 'rJavaEnv' package addresses common issues with 'Java' environment management in 'R' for users of 'Java'/'rJava'-dependent 'R' packages such as 'r5r', 'opentripplanner', 'xlsx', 'openNLP', 'rWeka', 'RJDBC', 'tabulapdf', and many more. It resolves common problems like 'Java' not found, 'Java' version conflicts, missing 'Java' installations, and the inability to install 'Java' due to lack of administrative privileges. 'rJavaEnv' automates the download, installation, and setup of the 'Java Development Kit' ('JDK') on a per-project basis by setting the relevant 'JAVA_HOME' in the current 'R' session or the current working directory (via '.Rprofile', with the user's consent). Similar to what 'renv' does for 'R' packages, 'rJavaEnv' allows different 'Java' versions to be used across different projects, but can also be configured to allow multiple versions within the same project (e.g. with the help of 'targets' package). Note: there are a few extra steps for 'Linux' users, who don't hav [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/e-kotov/rJavaEnv, https://www.ekotov.pro/rJavaEnv/
BugReports: https://github.com/e-kotov/rJavaEnv/issues
Imports: checkmate, cli, curl, jsonlite, utils
Suggests: quarto, rJava, testthat (>= 3.0.0)
VignetteBuilder: quarto
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-08-21 14:02:23 UTC; ek
Author: Egor Kotov [aut, cre, cph] , Mauricio Vargas [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-26 17:10:02 UTC

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New package osum with initial version 0.1.0
Package: osum
Title: Provide Summary Information About R Objects
Version: 0.1.0
Description: Inspired by 'S-PLUS' function objects.summary(), provides a function with the same name that returns data class, storage mode, mode, type, dimension, and size information for R objects in the specified environment. Various filtering and sorting options are also proposed.
License: GPL-3
URL: https://zivankaraman.github.io/osum/, https://github.com/zivankaraman/osum
BugReports: https://github.com/zivankaraman/osum/issues
Depends: R (>= 3.5.0)
Imports: utils
Suggests: foreign, knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-21 15:29:14 UTC; zivankaraman
Author: Zivan Karaman [aut, cre, cph]
Maintainer: Zivan Karaman <zivan.karaman@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-26 17:10:06 UTC

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New package latexSymb with initial version 0.4.0
Package: latexSymb
Title: Use 'R' to Write 'LaTeX' Code
Version: 0.4.0
Date: 2024-08-21
Author: Nicolas Escobar [aut, cre]
Maintainer: Nicolas Escobar <nescoba@iu.edu>
Description: Simplify the task of writing 'LaTeX' code by using 'R'. Instead of using 'LaTeX' utilities like 'newcommand', write 'R' functions for more flexibility and readability. Also, additional support for grouping makes it easier to write complicated expressions.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
Depends: R (>= 4.1.0), purrr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-08-21 14:30:58 UTC; nico
Repository: CRAN
Date/Publication: 2024-08-26 17:10:09 UTC

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New package rollup with initial version 0.0.2
Package: rollup
Title: A Tidy Grouping Set Aggregation
Version: 0.0.2
Description: A Tidy implementation of 'grouping sets', 'rollup' and 'cube' - extensions of the 'group_by' clause that allow for computing multiple 'group_by' clauses in a single statement. For more detailed information on these functions, please refer to "Enhanced Aggregation, Cube, Grouping and Rollup" <https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C+Grouping+and+Rollup>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10), dplyr, tidyr
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: rlang, methods, utils, magrittr, sparklyr
NeedsCompilation: no
Packaged: 2024-08-21 11:55:14 UTC; dan-ahn
Author: Ju Young Ahn [aut, cre]
Maintainer: Ju Young Ahn <juyoung.ahn@snu.ac.kr>
Repository: CRAN
Date/Publication: 2024-08-26 17:00:02 UTC

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New package UBStats with initial version 0.2.2
Package: UBStats
Title: Basic Statistics
Version: 0.2.2
Date: 2024-08-21
Description: Basic statistical analyses. The package has been developed to be used in statistics courses at Bocconi University (Milan, Italy). Currently, the package includes some exploratory and inferential analyses usually presented in introductory statistics courses.
Maintainer: Sergio Venturini <sergio.venturini@unicatt.it>
License: GPL-3
NeedsCompilation: no
Repository: CRAN
LazyData: true
Imports: graphics, grDevices, stats
Depends: R (>= 3.5.0), utils
BugReports: https://github.com/raffaellapiccarreta/UBStats/issues
Encoding: UTF-8
Packaged: 2024-08-21 07:10:19 UTC; Sergio
Author: Raffaella Piccarreta [aut], Sergio Venturini [cre]
Date/Publication: 2024-08-26 16:00:07 UTC

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New package shannon with initial version 0.2.0
Package: shannon
Title: Computation of Entropy Measures and Relative Loss
Version: 0.2.0
Author: Muhammad Imran [aut, cre], Christophe Chesneau [aut], Farrukh Jamal [aut]
Maintainer: Muhammad Imran <imranshakoor84@yahoo.com>
Depends: R (>= 4.0)
Imports: stats, VaRES, extraDistr
Suggests: ggplot2
Description: The functions allow for the numerical evaluation of some commonly used entropy measures, such as Shannon entropy, Rényi entropy, Havrda and Charvat entropy, and Arimoto entropy, at selected parametric values from several well-known and widely used probability distributions. Moreover, the functions also compute the relative loss of these entropies using the truncated distributions. Related works include: Awad, A. M., & Alawneh, A. J. (1987). Application of entropy to a life-time model. IMA Journal of Mathematical Control and Information, 4(2), 143-148. <doi:10.1093/imamci/4.2.143>.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-21 07:35:01 UTC; Amir Computers
Repository: CRAN
Date/Publication: 2024-08-26 16:00:02 UTC

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New package qvirus with initial version 0.0.2
Package: qvirus
Title: Quantum Computing for Analyzing CD4 Lymphocytes and Antiretroviral Therapy
Version: 0.0.2
Description: Resources, tutorials, and code snippets dedicated to exploring the intersection of quantum computing and artificial intelligence (AI) in the context of analyzing Cluster of Differentiation 4 (CD4) lymphocytes and optimizing antiretroviral therapy (ART) for human immunodeficiency virus (HIV). With the emergence of quantum artificial intelligence and the development of small-scale quantum computers, there's an unprecedented opportunity to revolutionize the understanding of HIV dynamics and treatment strategies. This project leverages the R package 'qsimulatR' (Ostmeyer and Urbach, 2023, <https://CRAN.R-project.org/package=qsimulatR>), a quantum computer simulator, to explore these applications in quantum computing techniques, addressing the challenges in studying CD4 lymphocytes and enhancing ART efficacy.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: bookdown, knitr, qsimulatR, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/juanv66x/qvirus
BugReports: https://github.com/juanv66x/qvirus/issues
NeedsCompilation: no
Packaged: 2024-08-21 06:12:19 UTC; jp
Author: Juan Pablo Acuna Gonzalez [aut, cre, cph]
Maintainer: Juan Pablo Acuna Gonzalez <acua6307@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-26 15:50:02 UTC

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New package htrSPRanalysis with initial version 0.1.0
Package: htrSPRanalysis
Title: Analysis of Surface Plasmon Resonance Data
Version: 0.1.0
Description: Analysis of Surface Plasmon Resonance (SPR) and Biolayer Interferometry data, with automations for high-throughput SPR. This version of the package fits the 1: 1 binding model, with and without bulkshift. It offers optional local or global Rmax fitting. The user must provide a sample sheet and a Carterra output file in Carterra's current format. There is a utility function to convert from Carterra's old output format. The user may run a custom pipeline or use the provided 'Runscript', which will produce a pdf file containing fitted Rmax, ka, kd and standard errors, a plot of the sensorgram and fits, and a plot of residuals. The script will also produce a .csv file with all of the relevant parameters for each spot on the SPR chip.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, markdown, qpdf
Imports: magrittr, readxl, openxlsx, minpack.lm, zoo, stats, gridExtra, grid, parallel, readr, rlang, dplyr, stringr, tidyselect, ggplot2, purrr, forcats, tibble, tidyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-20 20:42:26 UTC; janice
Author: Janice McCarthy Developer [aut, cre, cph], Kan Li Dev [aut], S. Moses Dennison [aut], Georgia D. Tomaras [aut]
Maintainer: Janice McCarthy Developer <janice.mccarthy@duke.edu>
Repository: CRAN
Date/Publication: 2024-08-26 15:50:06 UTC

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New package geodetector with initial version 1.0-5
Package: geodetector
Title: Stratified Heterogeneity Measure, Dominant Driving Force Detection, Interaction Relationship Investigation
Version: 1.0-5
Description: Spatial stratified heterogeneity (SSH), referring to the within strata are more similar than the between strata, a model with global parameters would be confounded if input data is SSH. Note that the "spatial" here can be either geospatial or the space in mathematical meaning. Geographical detector is a novel tool to investigate SSH: (1) measure and find SSH of a variable Y; (2) test the power of determinant X of a dependent variable Y according to the consistency between their spatial distributions; and (3) investigate the interaction between two explanatory variables X1 and X2 to a dependent variable Y (Wang et al 2014 <doi:10.1080/13658810802443457>, Wang, Zhang, and Fu 2016 <doi:10.1016/j.ecolind.2016.02.052>).
License: GPL (>= 2.0)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-20 06:02:59 UTC; 31701
Author: Chengdong Xu [aut, cre], Jinfeng Wang [aut], Yue Hou [ctb], Qian Yin [ctb]
Maintainer: Chengdong Xu <xucd@Lreis.ac.cn>
Repository: CRAN
Date/Publication: 2024-08-26 15:50:10 UTC

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New package gemini.R with initial version 0.5.2
Package: gemini.R
Title: Interface for 'Google Gemini' API
Version: 0.5.2
Maintainer: Jinhwan Kim <hwanistic@gmail.com>
Description: Provides a comprehensive interface for Google Gemini API, enabling users to access and utilize Gemini Large Language Model (LLM) functionalities directly from R. This package facilitates seamless integration with Google Gemini, allowing for advanced language processing, text generation, and other AI-driven capabilities within the R environment. For more information, please visit <https://ai.google.dev/docs/gemini_api_overview>.
License: MIT + file LICENSE
Depends: R (>= 4.0.0)
URL: https://github.com/jhk0530/gemini.R
BugReports: https://github.com/jhk0530/gemini.R/issues
Encoding: UTF-8
Imports: base64enc, cli, httr2
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-08-21 00:27:48 UTC; jinhwan
Author: Jinhwan Kim [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-08-26 15:50:13 UTC

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New package fntl with initial version 0.1.0
Package: fntl
Title: Numerical Tools for 'Rcpp' and Lambda Functions
Version: 0.1.0
Description: Provides a 'C++' API for routinely used numerical tools such as integration, root-finding, and optimization, where function arguments are given as lambdas. This facilitates 'Rcpp' programming, enabling the development of 'R'-like code in 'C++' where functions can be defined on the fly and use variables in the surrounding environment.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/andrewraim/fntl
Depends: R (>= 4.3)
Suggests: knitr, numDeriv, rmarkdown, quarto, tidyverse, tinytest
LinkingTo: Rcpp
Imports: Rcpp
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2024-08-20 18:15:02 UTC; araim
Author: Andrew M. Raim [aut, cre]
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-26 15:40:02 UTC

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New package didec with initial version 0.1.0
Package: didec
Title: Directed Dependence Coefficient
Version: 0.1.0
Maintainer: Yuping Wang <yuping.wang@plus.ac.at>
Description: Directed Dependence Coefficient (didec) is a measure of directed dependence. Multivariate Feature Ordering by Conditional Independence (MFOCI) is a variable selection algorithm based on didec. Hierarchical Variable Clustering (VarClustPartition) is a variable clustering method based on didec. For more information, see the paper by Ansari and Fuchs (2024, <doi:10.48550/arXiv.2212.01621>), and the paper by Fuchs and Wang (2024, <doi:10.1016/j.ijar.2024.109185>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: copBasic (>= 2.2.3), cowplot (>= 1.1.2), dendextend (>= 1.17.1), factoextra (>= 1.0.7), FOCI (>= 0.1.3), ggplot2 (>= 3.4.4), graphics (>= 4.3.0), grDevices (>= 0.5-1), gtools (>= 3.9.5), phylogram (>= 2.1.0), rlang (>= 1.1.4), stats (>= 4.3.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-08-20 17:40:01 UTC; yupin
Author: Yuping Wang [aut, cre], Sebastian Fuchs [aut], Jonathan Ansari [aut]
Repository: CRAN
Date/Publication: 2024-08-26 15:40:05 UTC

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New package ORTH.Ord with initial version 1.0.1
Package: ORTH.Ord
Title: Alternating Logistic Regression with Orthogonalized Residuals for Correlated Ordinal Outcomes
Version: 1.0.1
Description: A modified version of alternating logistic regressions (ALR) with estimation based on orthogonalized residuals (ORTH) is implemented, which use paired estimating equations to jointly estimate parameters in marginal mean and within-association models. The within-cluster association between ordinal responses is modeled by global pairwise odds ratios (POR). A finite-sample bias correction is provided to POR parameter estimates based on matrix multiplicative adjusted orthogonalized residuals (MMORTH) for correcting estimating equations, and different bias-corrected variance estimators such as BC1, BC2, and BC3.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.0), magic, MASS
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-08-20 17:14:39 UTC; cmeng
Author: Can Meng [aut, cre] , Fan Li [aut]
Maintainer: Can Meng <can.meng@yale.edu>
Repository: CRAN
Date/Publication: 2024-08-26 13:10:02 UTC

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New package tsgc with initial version 0.0
Package: tsgc
Title: Time Series Methods Based on Growth Curves
Version: 0.0
Description: The 'tsgc' package provides comprehensive tools for the analysis and forecasting of epidemic trajectories. It is designed to model the progression of an epidemic over time while accounting for the various uncertainties inherent in real-time data. Underpinned by a dynamic Gompertz model, the package adopts a state space approach, using the Kalman filter for flexible and robust estimation of the non-linear growth pattern commonly observed in epidemic data. The reinitialization feature enhances the model’s ability to adapt to the emergence of new waves. The forecasts generated by the package are of value to public health officials and researchers who need to understand and predict the course of an epidemic to inform decision-making. Beyond its application in public health, the package is also a useful resource for researchers and practitioners in fields where the trajectories of interest resemble those of epidemics, such as innovation diffusion. The package includes functionalities for da [...truncated...]
URL: https://github.com/Craig-PT/tsgc
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: ggfortify, knitr, RColorBrewer, rmarkdown, ggforce, gridExtra, latex2exp, here, timetk, testthat, purrr, kableExtra
Imports: KFAS, xts, ggplot2, ggthemes, zoo, magrittr, scales, dplyr, tidyr, methods
BugReports: https://github.com/Craig-PT/tsgc/issues
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-08-19 22:05:29 UTC; ct
Author: Craig Thamotheram [aut, cre]
Maintainer: Craig Thamotheram <cpt@tacindex.com>
Repository: CRAN
Date/Publication: 2024-08-26 12:10:04 UTC

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New package tidymodlr with initial version 1.0.0
Package: tidymodlr
Title: An R6 Class to Perform Analysis on Long Tidy Data
Version: 1.0.0
Author: David Hammond [aut, cre]
URL: https://github.com/david-hammond/tidymodlr
BugReports: https://github.com/david-hammond/tidymodlr/issues
Maintainer: David Hammond <anotherdavidhammond@gmail.com>
Description: Transforms long data into a matrix form to allow for ease of input into modelling packages for regression, principal components, imputation or machine learning. It does this by pivoting on user defined columns, generating a key-value table for variable names to ensure one-to-one mappings are preserved. It is particularly useful when the indicator names in the columns are long descriptive strings, for example "Energy imports, net (% of energy use)". High level analysis wrapper functions for correlation and principal components analysis are provided.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Imports: R6, dplyr, tidyr, tm, corrr, FactoMineR
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-08-20 07:05:39 UTC; DavidHammond
Repository: CRAN
Date/Publication: 2024-08-26 12:30:02 UTC

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New package PoSIAdjRSquared with initial version 0.0.0.1
Package: PoSIAdjRSquared
Title: Post-Selection Inference for Adjusted R Squared
Version: 0.0.0.1
Maintainer: Sarah Pirenne <sarah.pirenne@kuleuven.be>
Description: Conduct post-selection inference for regression coefficients in linear models after they have been selected by adjusted R squared. The p-values and confidence intervals are valid after model selection with the same data. This allows the user to use all data for both model selection and inference without losing control over the type I error rate. The provided tests are more powerful than data splitting, which bases inference on less data since it discards all information used for selection.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lmf, stats, utils, VGAM
NeedsCompilation: no
Packaged: 2024-08-20 12:19:14 UTC; u0146964
Author: Sarah Pirenne [aut, cre] , Gerda Claeskens [aut]
Repository: CRAN
Date/Publication: 2024-08-26 13:00:02 UTC

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