CRANberries

Wed, 15 Jan 2025

New package sfhelper with initial version 0.2.2.0
Package: sfhelper
Title: Repair Functions for 'sf' Package Objects
Version: 0.2.2.0
Description: A group of functions that support the 'sf' package, focused primarily on repairing polygons that break when re-projected.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: RCurl, rjson, mapview, sf, stringr, dplyr, ggplot2
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-13 23:32:54 UTC; mr56267
Author: Mark Ravina [aut, cre]
Maintainer: Mark Ravina <mark.ravina@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2025-01-15 10:40:02 UTC

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New package SampleSizeSingleArmSurvival with initial version 0.1.0
Package: SampleSizeSingleArmSurvival
Title: Calculate Sample Size for Single-Arm Survival Studies
Version: 0.1.0
Description: Provides methods to calculate sample size for single-arm survival studies using the arcsine transformation, incorporating uniform accrual and exponential survival assumptions. Includes functionality for detailed numerical integration and simulation. This method is based on Nagashima et al. (2021) <doi:10.1002/pst.2090>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-13 20:00:05 UTC; moko
Author: Mohamed Kamal [aut, cre]
Maintainer: Mohamed Kamal <mohamedkamalhospital@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-15 10:20:02 UTC

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New package psHarmonize with initial version 0.3.5
Package: psHarmonize
Title: Creates a Harmonized Dataset Based on a Set of Instructions
Version: 0.3.5
Description: Functions which facilitate harmonization of data from multiple different datasets. Data harmonization involves taking data sources with differing values, creating coding instructions to create a harmonized set of values, then making those data modifications. 'psHarmonize' will assist with data modification once the harmonization instructions are written. Coding instructions are written by the user to create a "harmonization sheet". This sheet catalogs variable names, domains (e.g. clinical, behavioral, outcomes), provides R code instructions for mapping or conversion of data, specifies the variable name in the harmonized data set, and tracks notes. The package will then harmonize the source datasets according to the harmonization sheet to create a harmonized dataset. Once harmonization is finished, the package also has functions that will create descriptive statistics using 'RMarkdown'. Data Harmonization guidelines have been described by Fortier I, Raina P, Van den Heuvel ER, et al. ( [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, glue, magrittr, purrr, RColorBrewer, rlang, rmarkdown, stringr, tidyr
Suggests: testthat (>= 3.0.0), knitr
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://github.com/NUDACC/psHarmonize
BugReports: https://github.com/NUDACC/psHarmonize/issues
NeedsCompilation: no
Packaged: 2025-01-13 22:15:29 UTC; jjs7028
Author: John Stephen [aut, cre]
Maintainer: John Stephen <John.Stephen@northwestern.edu>
Repository: CRAN
Date/Publication: 2025-01-15 10:40:05 UTC

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New package fromhere with initial version 0.1.0
Package: fromhere
Title: File Paths Relative to Project Roots
Version: 0.1.0
Description: Provides a set of helper functions for constructing file paths relative to the root of various types of projects, such as R packages, Git repositories, and more. File paths are specified with function arguments, or `$` to navigate into folders to specific files supported by auto-completion.
License: MIT + file LICENSE
Imports: rprojroot, utils
Suggests: here, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/mitchelloharawild/fromhere
BugReports: https://github.com/mitchelloharawild/fromhere/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-14 08:18:32 UTC; mitchell
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
Repository: CRAN
Date/Publication: 2025-01-15 10:50:03 UTC

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New package fftab with initial version 0.1.0
Package: fftab
Title: Tidy Manipulation of Fourier Transformed Data
Version: 0.1.0
Description: The 'fftab' package stores Fourier coefficients in a tibble and allows their manipulation in various ways. Functions are available for converting between complex, rectangular ('re', 'im'), and polar ('mod', 'arg') representations, as well as for extracting components as vectors or matrices. Inputs can include vectors, time series, and arrays of arbitrary dimensions, which are restored to their original form when inverting the transform. Since 'fftab' stores Fourier frequencies as columns in the tibble, many standard operations on spectral data can be easily performed using tidy packages like 'dplyr'.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggfortify, patchwork, testthat (>= 3.0.0), zoo
Imports: dplyr, ggplot2, lifecycle, tibble, tidyr
URL: https://github.com/thk686/fftab, https://thk686.github.io/fftab/
BugReports: https://github.com/thk686/fftab/issues
NeedsCompilation: no
Packaged: 2025-01-13 22:31:34 UTC; keittth
Author: Timothy Keitt [aut, cre]
Maintainer: Timothy Keitt <tkeitt@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-15 10:40:08 UTC

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New package epiCo with initial version 1.0.1
Package: epiCo
Title: Statistical and Viz Tools for Vector-Borne Diseases in Colombia
Version: 1.0.1
Description: Provides statistical and visualization tools for the analysis of demographic indicators, and spatio-temporal behavior and characterization of outbreaks of vector-borne diseases (VBDs) in Colombia. It implements travel times estimated in Bravo-Vega C., Santos-Vega M., & Cordovez J.M. (2022), and the endemic channel method (Bortman, M. (1999) <https://iris.paho.org/handle/10665.2/8562>).
License: MIT + file LICENSE
URL: https://epiverse-trace.github.io/epiCo/, https://github.com/epiverse-trace/epiCo
BugReports: https://github.com/epiverse-trace/epiCo/issues
Depends: R (>= 4.0.0)
Imports: dplyr, ggplot2, ggraph, grDevices, igraph, incidence, leaflet, lubridate, magrittr, rlang, scales, spdep, stats, treemapify, utils
Suggests: checkmate, covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-08 22:03:21 UTC; juandanielumanacaro
Author: Juan D. Umana [aut, cre, cph] , Juan Montenegro-Torres [aut] , Julian Otero [aut] , Hugo Gruson [ctb]
Maintainer: Juan D. Umana <jd.umana10@uniandes.edu.co>
Repository: CRAN
Date/Publication: 2025-01-15 10:10:01 UTC

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New package rlibkriging with initial version 0.9-1
Package: rlibkriging
Title: Kriging Models using the 'libKriging' Library
Version: 0.9-1
Date: 2025-01-15
Maintainer: Yann Richet <yann.richet@irsn.fr>
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around by Pascal Have of 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
License: Apache License (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.2)
Imports: Rcpp (>= 1.0.12), methods, DiceKriging
Suggests: testthat, RobustGaSP, utils, DiceDesign, foreach
SystemRequirements: GNU make, cmake (>= 3.2.0), gcc, gfortran
URL: https://github.com/libKriging
NeedsCompilation: yes
Packaged: 2025-01-15 08:53:50 UTC; richet
Author: Yann Richet [aut, cre] , Pascal Have [aut], Yves Deville [aut], Conrad Sanderson [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Mike Smith [ctb]
Repository: CRAN
Date/Publication: 2025-01-15 09:40:02 UTC

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New package faux with initial version 1.2.2
Package: faux
Title: Simulation for Factorial Designs
Version: 1.2.2
Date: 2025-01-13
Description: Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at <https://debruine.github.io/faux/>. Described in DeBruine (2020) <doi:10.5281/zenodo.2669586>.
Depends: R (>= 3.2.4)
Imports: lme4, dplyr (>= 1.1.1), ggplot2 (>= 3.3.0), jsonlite, truncnorm, rlang
License: MIT + file LICENSE
Suggests: testthat (>= 2.1.0), tidyr, knitr, rmarkdown, roxygen2, cowplot, ggExtra, purrr, broom, broom.mixed, psych, lmerTest, kableExtra, glue, openssl, readr, patchwork
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/debruine/faux, https://debruine.github.io/faux/
BugReports: https://github.com/debruine/faux/issues
NeedsCompilation: no
Packaged: 2025-01-14 13:55:02 UTC; debruine
Author: Lisa DeBruine [aut, cre, cph] , Anna Krystalli [ctb] , Andrew Heiss [ctb]
Maintainer: Lisa DeBruine <debruine@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-15 09:10:01 UTC

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New package arcgisplaces with initial version 0.1.1
Package: arcgisplaces
Title: Search for POIs using ArcGIS 'Places Service'
Version: 0.1.1
Description: The ArcGIS 'Places service' is a ready-to-use location service that can search for businesses and geographic locations around the world. It allows you to find, locate, and discover detailed information about each place. Query for places near a point, within a bounding box, filter based on categories, or provide search text. 'arcgisplaces' integrates with 'sf' for out of the box compatibility with other spatial libraries. Learn more in the 'Places service' API reference <https://developers.arcgis.com/rest/places/>.
License: Apache License (>= 2)
Encoding: UTF-8
Language: en
Imports: arcgisutils (>= 0.3.0), cli, httr2 (>= 1.0.5), rlang, wk
SystemRequirements: Cargo (Rust's package manager), rustc, OpenSSL
Suggests: sf
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2025-01-13 20:25:59 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-15 09:40:07 UTC

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Tue, 14 Jan 2025

New package RPANDA with initial version 2.4
Package: RPANDA
Version: 2.4
Date: 2025-01-14
Title: Phylogenetic ANalyses of DiversificAtion
Depends: R (>= 3.5.0), ape, picante, methods,
Suggests: testthat
Imports: BB, bipartite, cluster, coda, deSolve, fields, fpc, geiger, glassoFast, graphics, grDevices, igraph, Matrix, mvtnorm, mvMORPH (>= 1.1.6), GUniFrac, parallel, ParallelLogger, phangorn, phytools, pracma, pspline, pvclust, raster, RColorBrewer, R.utils, Rmpfr, stats, TESS, utils, vegan
Encoding: UTF-8
Author: Helene Morlon [aut, cre, cph], Eric Lewitus [aut, cph], Fabien Condamine [aut, cph], Marc Manceau [aut, cph], Julien Clavel [aut, cph], Jonathan Drury [aut, cph], Olivier Billaud [aut, cph], Odile Maliet [aut, cph], Leandro Aristide [aut, cph], Benoi [...truncated...]
Maintainer: Helene Morlon <helene.morlon@bio.ens.psl.eu>
Description: Implements macroevolutionary analyses on phylogenetic trees. See Morlon et al. (2010) <DOI:10.1371/journal.pbio.1000493>, Morlon et al. (2011) <DOI:10.1073/pnas.1102543108>, Condamine et al. (2013) <DOI:10.1111/ele.12062>, Morlon et al. (2014) <DOI:10.1111/ele.12251>, Manceau et al. (2015) <DOI:10.1111/ele.12415>, Lewitus & Morlon (2016) <DOI:10.1093/sysbio/syv116>, Drury et al. (2016) <DOI:10.1093/sysbio/syw020>, Manceau et al. (2016) <DOI:10.1093/sysbio/syw115>, Morlon et al. (2016) <DOI:10.1111/2041-210X.12526>, Clavel & Morlon (2017) <DOI:10.1073/pnas.1606868114>, Drury et al. (2017) <DOI:10.1093/sysbio/syx079>, Lewitus & Morlon (2017) <DOI:10.1093/sysbio/syx095>, Drury et al. (2018) <DOI:10.1371/journal.pbio.2003563>, Clavel et al. (2019) <DOI:10.1093/sysbio/syy045>, Maliet et al. (2019) <DOI:10.1038/s41559-019-0908-0>, Billaud et al. (2019) <DOI:10.1093/sysbio/syz057>, Lewi [...truncated...]
License: GPL-2
URL: https://github.com/hmorlon/PANDA
Repository: CRAN
NeedsCompilation: yes
Packaged: 2025-01-14 17:11:06 UTC; morlon
Date/Publication: 2025-01-14 23:40:09 UTC

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New package sgapi with initial version 1.0.3
Package: sgapi
Title: Aid Querying 'nomis' and 'Office for National Statistics Open Geography' APIs
Version: 1.0.3
Description: Facilitates extraction of geospatial data from the 'Office for National Statistics Open Geography' and 'nomis' Application Programming Interfaces (APIs). Simplifies process of querying 'nomis' datasets <https://www.nomisweb.co.uk/> and extracting desired datasets in dataframe format. Extracts area shapefiles at chosen resolution from 'Office for National Statistics Open Geography' <https://geoportal.statistics.gov.uk/>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://defra-data-science-centre-of-excellence.github.io/sgapi/, https://github.com/Defra-Data-Science-Centre-of-Excellence/sgapi
BugReports: https://github.com/Defra-Data-Science-Centre-of-Excellence/sgApi/issues
Imports: magrittr, sf, dplyr, httr, readr, xml2, methods
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.6)
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-14 21:47:50 UTC; Andrew
Author: Andrew Christy [aut, cre], James Macpherson [aut], Hadyn Jenkins [aut], Crown Copyright [cph]
Maintainer: Andrew Christy <sgapi.orhub@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-14 22:30:02 UTC

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New package hhmR with initial version 0.0.1
Package: hhmR
Title: Hierarchical Heatmaps
Version: 0.0.1
Maintainer: Michael Mahony <michael.mahony@cantab.net>
Description: Allows users to create high-quality heatmaps from labelled, hierarchical data. Specifically, for data with a two-level hierarchical structure, it will produce a heatmap where each row and column represents a category at the lower level. These rows and columns are then grouped by the higher-level group each category belongs to, with the names for each category and groups shown in the margins. While other packages (e.g. 'dendextend') allow heatmap rows and columns to be arranged by groups only, 'hhmR' also allows the labelling of the data at both the category and group level.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/sgmmahon/hhmR, https://sgmmahon.github.io/hhmR/
BugReports: https://github.com/sgmmahon/hhmR/issues
Depends: R (>= 3.5.0)
Imports: dplyr, purrr, tidyr, rlang, grid, ggplot2, patchwork, grDevices, magrittr, utils
Language: en-UK
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-13 19:56:44 UTC; MAH113916
Author: Michael Mahony [cre, aut, cph] , Francisco Rowe [aut] , Carmen Cabrera-Arnau [aut]
Repository: CRAN
Date/Publication: 2025-01-14 15:10:01 UTC

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New package pudu with initial version 0.1.0
Package: pudu
Title: C++ Tools for Cleaning Strings
Description: Provides function declarations and inline function definitions that facilitate cleaning strings in C++ code before passing them to R.
Version: 0.1.0
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/pudu/issues
URL: https://pacha.dev/pudu/, https://github.com/pachadotdev/pudu
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-13 16:43:15 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Munk School of Global Affairs and Public Policy [fnd]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2025-01-14 15:00:02 UTC

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New package ggstackplot with initial version 0.4
Package: ggstackplot
Title: Create Overlapping Stacked Plots
Version: 0.4
Description: Easily create overlapping grammar of graphics plots for scientific data visualization. This style of plotting is particularly common in climatology and oceanography research communities.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: rlang, cli, methods, lifecycle, tidyselect, dplyr, tidyr, ggplot2, cowplot, RColorBrewer
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr, scales, pangaear
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-13 15:25:59 UTC; sk
Author: Sebastian Kopf [aut, cre, cph] , Tristan Caro [aut], Jamie McFarlin [aut] , Jon Raberg [aut]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>
Repository: CRAN
Date/Publication: 2025-01-14 14:40:02 UTC

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New package FLASHMM with initial version 1.0.0
Package: FLASHMM
Title: Fast and Scalable Single Cell Differential Expression Analysis using Mixed-Effects Models
Version: 1.0.0
Description: A fast and scalable linear mixed-effects model (LMM) estimation algorithm for analysis of single-cell differential expression. The algorithm uses summary-level statistics and requires less computer memory to fit the LMM.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, MASS, Matrix
Suggests: knitr, bookdown, rmarkdown, devtools, SingleCellExperiment, ExperimentHub
VignetteBuilder: knitr
URL: https://github.com/BaderLab/FLASHMM
BugReports: https://github.com/BaderLab/FLASHMM/issues
NeedsCompilation: no
Packaged: 2025-01-13 03:37:58 UTC; changjiangxu
Author: Changjiang Xu [aut, cre], Gary Bader [aut]
Maintainer: Changjiang Xu <changjiang.xu@utoronto.ca>
Repository: CRAN
Date/Publication: 2025-01-14 13:20:05 UTC

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New package bitstreamio with initial version 0.1.0
Package: bitstreamio
Title: Read and Write Bits from Files, Connections and Raw Vectors
Version: 0.1.0
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
URL: https://github.com/coolbutuseless/bitstreamio
BugReports: https://github.com/coolbutuseless/bitstreamio/issues
Description: Bit-level reading and writing are necessary when dealing with many file formats e.g. compressed data and binary files. Currently, R connections are manipulated at the byte level. This package wraps existing connections and raw vectors so that it is possible to read bits, bit sequences, unaligned bytes and low-bit representations of integers.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-13 09:07:43 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-01-14 13:20:01 UTC

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New package BIS with initial version 0.4
Package: BIS
Title: Programmatic Access to Bank for International Settlements Data
Version: 0.4
Description: Provides an interface to data provided by the Bank for International Settlements <https://www.bis.org>, allowing for programmatic retrieval of a large quantity of (central) banking data.
License: CC0
URL: https://github.com/stefanangrick/BIS
BugReports: https://github.com/stefanangrick/BIS/issues
Suggests: knitr, rmarkdown, ggplot2, zoo
Imports: dplyr, readr, rvest, xml2
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-02 07:38:01 UTC; qwerty
Author: Stefan Angrick [aut, cre], Eric Persson [aut]
Maintainer: Stefan Angrick <contact@stefanangrick.net>
Repository: CRAN
Date/Publication: 2025-01-14 13:20:08 UTC

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New package PLStests with initial version 0.1.0
Package: PLStests
Title: Model Checking for High-Dimensional GLMs via Random Projections
Version: 0.1.0
Maintainer: Wen Chen <tlqdcw@gmail.com>
Description: Provides methods for testing the goodness-of-fit of generalized linear models (GLMs) using random projections. It is specifically designed for high-dimensional scenarios where the number of predictors substantially exceeds the sample size. The statistical methodologies implemented in this package are detailed in the paper by Wen Chen and Falong Tan (2024, <doi:10.48550/arXiv.2412.10721>).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: glmnet, harmonicmeanp, MASS, psych,stats
NeedsCompilation: no
Packaged: 2025-01-12 06:12:50 UTC; Aorus
Author: Wen Chen [aut, cre], Jie Liu [aut], Heng Peng [aut], FaLong Tan [aut], Lixing Zhu [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-01-14 13:00:02 UTC

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New package OpenRange with initial version 0.0.1
Package: OpenRange
Title: Code to Access Open Access Species Range Maps
Version: 0.0.1
Description: Allows access to a proof-of-concept database containing Open Access species range models and relevant metadata. Access to the database is via both 'PostgreSQL' connection and API <https://github.com/EnquistLab/Biendata-Frontend>, allowing diverse use-cases.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.2.1), RPostgreSQL
Imports: DBI, sf, httr, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), maps, tidyverse, vcr, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-12 16:30:14 UTC; Brian Maitner
Author: Brian Maitner [aut, cre] , Cory Merow [aut], Brad Boyle [aut], Xiao Feng [aut], Rethvick Sriram Yugendra Babu [aut], Brian Enquist [aut]
Maintainer: Brian Maitner <bmaitner@usf.edu>
Repository: CRAN
Date/Publication: 2025-01-14 13:00:05 UTC

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New package theorytools with initial version 0.1.0
Package: theorytools
Title: FAIR Theory Construction
Version: 0.1.0
Description: An integrated suite of tools for creating, maintaining, and reusing FAIR (Findable, Accessible, Interoperable, Reusable) theories. Designed to support transparent and collaborative theory development, the package enables users to formalize theories, track changes with version control, assess pre-empirical coherence, and derive testable hypotheses. Aligning with open science principles and workflows, 'theorytools' facilitates the systematic improvement of theoretical frameworks and enhances their discoverability and usability.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/cjvanlissa/theorytools
Imports: worcs (>= 0.1.16), gert, gh, cli, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), pkgdown, withr, usethis, fs
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-11 17:39:02 UTC; vanlissa
Author: Caspar J. Van Lissa [aut, cre]
Maintainer: Caspar J. Van Lissa <c.j.vanlissa@tilburguniversity.edu>
Repository: CRAN
Date/Publication: 2025-01-14 10:20:01 UTC

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New package pam with initial version 1.0.0
Package: pam
Title: Fast and Efficient Processing of PAM Data
Version: 1.0.0
URL: https://github.com/biotoolbox/pam
BugReports: https://github.com/biotoolbox/pam/issues
Description: Processing Chlorophyll Fluorescence & P700 Absorbance data generated by WALZ hardware. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: data.table, dplyr, ggplot2, minpack.lm, cowplot, gridExtra, ggthemes
NeedsCompilation: no
Packaged: 2025-01-11 19:58:25 UTC; julien
Author: Julien Boehm [cre, aut] , Philipp Schrag [aut]
Maintainer: Julien Boehm <julien.boehm@uni-rostock.de>
Repository: CRAN
Date/Publication: 2025-01-14 10:20:05 UTC

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New package ggmapcn with initial version 0.1.2
Package: ggmapcn
Title: Customizable China Map Visualizations
Version: 0.1.2
Description: A 'ggplot2' extension for visualizing China’s map, offering customizable projections, boundary styles, and buffer zones for thematic maps. Suitable for spatial data analysis and enhancing map visualization with flexible styling options.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0), ggplot2 (>= 3.4.0)
Imports: sf (>= 1.0.0), dplyr (>= 1.1.0), rlang (>= 1.1.3), ggspatial (>= 1.1.8), terra (>= 1.7), tidyterra (>= 0.6.0), curl (>= 6.0.0)
URL: https://rimagination.github.io/ggmapcn/
BugReports: https://github.com/Rimagination/ggmapcn/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-11 16:39:20 UTC; Administrator
Author: Liang Ren [aut, cre]
Maintainer: Liang Ren <rl23@mails.tsinghua.edu.cn>
Repository: CRAN
Date/Publication: 2025-01-14 10:10:01 UTC

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New package spNetwork with initial version 0.4.4.4
Package: spNetwork
Title: Spatial Analysis on Network
Version: 0.4.4.4
Description: Perform spatial analysis on network. Implement several methods for spatial analysis on network: Network Kernel Density estimation, building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation References: Okabe et al (2019) <doi:10.1080/13658810802475491>; Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: spdep (>= 1.1.2), igraph (>= 1.2.6), cubature (>= 2.0.4.1), future.apply (>= 1.4.0), methods (>= 1.7.1), ggplot2 (>= 3.3.0), progressr (>= 0.4.0), data.table (>= 1.12.8), Rcpp (>= 1.0.4.6), Rdpack (>= 2.1.1), dbscan (>= 1.1-8), sf (>= 1.0-3), abind (>= 1.4-5), sfheaders (>= 0.4.4), cppRouting (>= 3.1)
Depends: R (>= 3.6)
Suggests: future (>= 1.16.0), testthat (>= 3.0.0), kableExtra (>= 1.1.0), RColorBrewer (>= 1.1-2), classInt (>= 0.4-3), reshape2 (>= 1.4.3), rlang (>= 0.4.6), rgl (>= 0.107.14), tmap (>= 3.3-1), smoothr (>= 0.2.2), concaveman (>= 1.1.0), covr (>= 3.5.1), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://jeremygelb.github.io/spNetwork/
BugReports: https://github.com/JeremyGelb/spNetwork/issues
LinkingTo: Rcpp, RcppProgress, RcppArmadillo, BH
Language: en-CA
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2025-01-11 02:47:31 UTC; Gelb
Author: Jeremy Gelb [aut, cre] , Philippe Apparicio [ctb]
Maintainer: Jeremy Gelb <jeremy.gelb@ucs.inrs.ca>
Repository: CRAN
Date/Publication: 2025-01-14 09:50:02 UTC

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New package ProActive with initial version 0.0.2
Package: ProActive
Title: Detect Elevations and Gaps in Mapped Sequencing Read Coverage
Version: 0.0.2
Maintainer: Jessie Maier <jlmaier@ncsu.edu>
Description: Automate the detection of gaps and elevations in mapped sequencing read coverage using a 2D pattern-matching algorithm. 'ProActive' detects, characterizes and visualizes read coverage patterns in both genomes and metagenomes. Optionally, users may provide gene predictions associated with their genome or metagenome in the form of a .gff file. In this case, 'ProActive' will generate an additional output table containing the gene predictions found within the detected regions of gapped and elevated read coverage.
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/jlmaier12/ProActive, https://jlmaier12.github.io/ProActive/
BugReports: https://github.com/jlmaier12/ProActive/issues
Imports: utils, stats, dplyr, ggplot2, stringr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), kableExtra
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2025-01-10 21:55:08 UTC; jlmaier
Author: Jessie Maier [aut, cre, cph] , Manuel Kleiner [aut, ths]
Repository: CRAN
Date/Publication: 2025-01-14 09:50:10 UTC

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New package enviGCMS with initial version 0.8.0
Package: enviGCMS
Title: GC/LC-MS Data Analysis for Environmental Science
Version: 0.8.0
Description: Gas/Liquid Chromatography-Mass Spectrometer(GC/LC-MS) Data Analysis for Environmental Science. This package covered topics such molecular isotope ratio, matrix effects and Short-Chain Chlorinated Paraffins analysis etc. in environmental analysis.
URL: https://github.com/yufree/enviGCMS
BugReports: https://github.com/yufree/enviGCMS/issues
License: GPL-2
Encoding: UTF-8
LazyData: true
Suggests: knitr, testthat, plotly, shiny, rmarkdown, DT, crosstalk
VignetteBuilder: knitr
Depends: R (>= 3.5)
Imports: Rdisop, BiocParallel, grDevices, graphics, stats, utils, animation (>= 2.2.3), RColorBrewer, mixtools, data.table, igraph
NeedsCompilation: no
Packaged: 2025-01-14 02:15:57 UTC; yufree
Author: Miao YU [aut, cre] , Thanh Wang [ctb]
Maintainer: Miao YU <yufreecas@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-14 07:50:02 UTC

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Mon, 13 Jan 2025

New package viafoundry with initial version 1.0.0
Package: viafoundry
Title: R Client for 'Via Foundry' API
Version: 1.0.0
Language: en-US
Description: 'Via Foundry' API provides streamlined tools for interacting with and extracting data from structured responses, particularly for use cases involving hierarchical data from Foundry's API. It includes functions to fetch and parse process-level and file-level metadata, allowing users to efficiently query and manipulate nested data structures. Key features include the ability to list all unique process names, retrieve file metadata for specific or all processes, and dynamically load or download files based on their type. With built-in support for handling various file formats (e.g., tabular and non-tabular files) and seamless integration with API through authentication, this package is designed to enhance workflows involving large-scale data management and analysis. Robust error handling and flexible configuration ensure reliable performance across diverse data environments. Please consult the documentation for the API endpoint for your installation.
License: Apache License 2.0
Encoding: UTF-8
Imports: httr, jsonlite, dplyr, purrr, askpass
URL: https://github.com/ViaScientific/viafoundry-R-SDK
NeedsCompilation: no
Packaged: 2025-01-10 21:57:55 UTC; alper
Author: Alper Kucukural [aut, cre], Via Scientific [aut, cph]
Maintainer: Alper Kucukural <alper@viascientific.com>
Repository: CRAN
Date/Publication: 2025-01-13 18:00:02 UTC

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New package urlparse with initial version 0.1.0
Package: urlparse
Title: Fast Simple URL Parser
Version: 0.1.0
Description: A fast and simple 'URL' parser package for 'R'. This package provides functions to parse 'URLs' into their components, such as scheme, user, password, host, port, path, query, and fragment.
License: MIT + file LICENSE
URL: https://github.com/dyfanjones/urlparse, https://dyfanjones.r-universe.dev/urlparse
BugReports: https://github.com/dyfanjones/urlparse/issues
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-01-10 13:37:27 UTC; dyfanjones
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-13 17:30:02 UTC

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New package spectrolab with initial version 0.0.19
Package: spectrolab
Title: Class and Methods for Spectral Data
Version: 0.0.19
Date: 2025-01-07
Description: Input/Output, processing and visualization of spectra taken with different spectrometers, including SVC (Spectra Vista), ASD and PSR (Spectral Evolution). Implements an S3 class spectra that other packages can build on. Provides methods to access, plot, manipulate, splice sensor overlap, vector normalize and smooth spectra.
License: GPL-3
URL: https://CRAN.R-project.org/package=spectrolab
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0), stats
Suggests: covr, tinytex, knitr (>= 1.30), rmarkdown (>= 2.5), testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: grDevices, parallel, RColorBrewer (>= 1.0), shiny (>= 1.5.0), shinyjs (>= 1.1)
NeedsCompilation: no
Packaged: 2025-01-10 16:59:40 UTC; meireles
Author: Jose Eduardo Meireles [aut, cre], Anna K. Schweiger [aut], Jeannine Cavender-Bares [aut]
Maintainer: Jose Eduardo Meireles <jemeireles@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-13 17:50:02 UTC

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New package sequenceR with initial version 1.0.1
Package: sequenceR
Title: A Simple Sequencer for Data Sonification
Version: 1.0.1
Description: A rudimentary sequencer to define, manipulate and mix sound samples. The underlying motivation is to sonify data, as demonstrated in the blog <https://globxblog.github.io/>, the presentation by Renard and Le Bescond (2022, <https://hal.science/hal-03710340v1>) or the poster by Renard et al. (2023, <https://hal.inrae.fr/hal-04388845v1>).
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/benRenard/sequenceR
BugReports: https://github.com/benRenard/sequenceR/issues
Depends: R (>= 3.5.0)
Imports: tuneR
Suggests: knitr, rmarkdown, ggplot2, gganimate, tidyr, dplyr, av
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-10 10:41:06 UTC; brenard
Author: Benjamin Renard [aut, cre, cph] , INRAE [fnd], European Commission [fnd]
Maintainer: Benjamin Renard <benjamin.renard@inrae.fr>
Repository: CRAN
Date/Publication: 2025-01-13 17:30:05 UTC

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New package rineq with initial version 0.3.0
Package: rineq
Title: Concentration Index and Decomposition for Health Inequalities
Version: 0.3.0
Date: 2025-01-10
Description: Relative, generalized, and Erreygers corrected concentration index; plot Lorenz curves; and decompose health inequalities into contributing factors. The package currently works with (generalized) linear models, survival models, complex survey models, and marginal effects probit models. originally forked by Brecht Devleesschauwer from the 'decomp' package (no longer on CRAN), 'rineq' is now maintained by Kaspar Walter Meili. Compared to the earlier 'rineq' version on 'github' by Brecht Devleesschauwer (<https://github.com/brechtdv/rineq>), the regression tree functionality has been removed. Improvements compared to earlier versions include improved plotting of decomposition and concentration, added functionality to calculate the concentration index with different methods, calculation of robust standard errors, and support for the decomposition analysis using marginal effects probit regression models. The development version is available at <https://github.com/kdevkdev/rineq> [...truncated...]
Depends: R (>= 3.5.0)
Imports: stats, graphics
Suggests: sandwich, lmtest, mfx, survey, survival
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
Language: en-Us
URL: https://github.com/kdevkdev/rineq
BugReports: https://github.com/kdevkdev/rineq/issues
NeedsCompilation: no
Packaged: 2025-01-10 14:11:03 UTC; kaspar
Author: Brecht Devleesschauwer [aut, cph], Saveria Willimes [aut, cph], Carine Van Malderen [aut, cph], Peter Konings [aut, cph], Niko Speybroeck [aut, cph], Kaspar Meili [aut, cre, cph]
Maintainer: Kaspar Meili <meilikaspar@yahoo.de>
Repository: CRAN
Date/Publication: 2025-01-13 17:30:10 UTC

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New package priorityelasticnet with initial version 0.1.0
Package: priorityelasticnet
Title: Comprehensive Analysis of Multi-Omics Data Using an Offset-Based Method
Version: 0.1.0
Description: Priority-ElasticNet extends the Priority-LASSO method (Klau et al. (2018) <doi:10.1186/s12859-018-2344-6>) by incorporating the ElasticNet penalty, allowing for both L1 and L2 regularization. This approach fits successive ElasticNet models for several blocks of (omics) data with different priorities, using the predicted values from each block as an offset for the subsequent block. It also offers robust options to handle block-wise missingness in multi-omics data, improving the flexibility and applicability of the model in the presence of incomplete datasets.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: survival, glmnet, utils, checkmate, shiny, tidyr, dplyr, caret, pROC, PRROC, plotrix, ggplot2, magrittr, tibble, broom, cvms
Suggests: ipflasso, rlang, knitr, rmarkdown, glmSparseNet
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-10 10:30:18 UTC; statl
Author: Laila Qadir Musib [aut, cre], Eunice Carrasquinha [aut], Helena Mourino [aut]
Maintainer: Laila Qadir Musib <statleila98@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-13 17:30:13 UTC

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New package plug with initial version 0.1.0
Package: plug
Title: Secure and Intuitive Access to 'Plug' Interface
Version: 0.1.0
Date: 2025-01-09
Description: Provides a secure and user-friendly interface to interact with the 'Plug' <https://plugbytpf.com.br> 'API'. It enables developers to store and manage tokens securely using the 'keyring' package, retrieve data from 'API' endpoints with the 'httr2' package, and handle large datasets with chunked data fetching. Designed for simplicity and security, the package facilitates seamless integration with 'Plug' ecosystem.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: tibble, httr2, glue, keyring
URL: <https://github.com/StrategicProjects/plug>
NeedsCompilation: no
Packaged: 2025-01-10 16:12:42 UTC; leite
Author: Andre Leite [aut, cre], Felipe Ferreira [aut], Hugo Vaconcelos [aut], Diogo Bezerra [aut], Roger Azevedo [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2025-01-13 17:50:07 UTC

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New package mlr3inferr with initial version 0.1.0
Package: mlr3inferr
Title: Inference on the Generalization Error
Version: 0.1.0
Description: An 'mlr3' extension that provides various resampling-based confidence interval (CI) methods for estimating the generalization error. These CI methods are implemented as 'mlr3' measures, enabling the evaluation of individual algorithms on specific tasks as well as the comparison of different learning algorithms.
License: LGPL-3
URL: https://mlr3inferr.mlr-org.com, https://github.com/mlr-org/mlr3inferr
BugReports: https://github.com/mlr-org/mlr3inferr/issues
Depends: mlr3, R (>= 3.1.0)
Imports: checkmate, data.table, future, lgr, mlr3measures, mlr3misc, paradox, R6, withr
Suggests: rpart, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-10 16:02:33 UTC; sebi
Author: Sebastian Fischer [cre, aut] , Hannah Schulz-Kuempel [aut]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-13 17:50:11 UTC

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New package idiffomix with initial version 1.0.0
Package: idiffomix
Title: Integrated Differential Analysis of Multi Omics Data using a Joint Mixture Model
Version: 1.0.0
Maintainer: Koyel Majumdar <koyelmajumdar.phdresearch@gmail.com>
Description: A joint mixture model has been developed by Majumdar et al. (2025) <doi:10.48550/arXiv.2412.17511> that integrates information from gene expression data and methylation data at the modelling stage to capture their inherent dependency structure, enabling simultaneous identification of differentially methylated cytosine-guanine dinucleotide (CpG) sites and differentially expressed genes. The model leverages a joint likelihood function that accounts for the nested structure in the data, with parameter estimation performed using an expectation-maximisation algorithm.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: foreach, doParallel, parallel, mclust, stats, utils, edgeR, magrittr, ggplot2, scales, tidyr, dplyr, reshape2, gridExtra, grid, tidyselect, cowplot
Encoding: UTF-8
NeedsCompilation: yes
LazyData: true
LazyDataCompression: xz
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Packaged: 2025-01-10 10:22:28 UTC; koyel
Author: Koyel Majumdar [cre, aut], Isobel Claire Gorley [aut], Thomas Brendan Murphy [aut], Florence Jaffrezic [aut], Andrea Rau [aut]
Repository: CRAN
Date/Publication: 2025-01-13 17:20:02 UTC

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New package fastrerandomize with initial version 0.1
Package: fastrerandomize
Title: Hardware-Accelerated Rerandomization for Improved Balance
Version: 0.1
Description: Provides hardware-accelerated tools for performing rerandomization and randomization testing in experimental research. Using a 'JAX' backend, the package enables exact rerandomization inference even for large experiments with hundreds of billions of possible randomizations. Key functionalities include generating pools of acceptable rerandomizations based on covariate balance, conducting exact randomization tests, and performing pre-analysis evaluations to determine optimal rerandomization acceptance thresholds. The package supports various hardware acceleration frameworks including 'CPU', 'CUDA', and 'METAL', making it versatile across accelerated computing environments. This allows researchers to efficiently implement stringent rerandomization designs and conduct valid inference even with large sample sizes. The package is partly based on Jerzak and Goldstein (2023) <doi:10.48550/arXiv.2310.00861>.
URL: https://github.com/cjerzak/fastrerandomize-software
BugReports: https://github.com/cjerzak/fastrerandomize-software/issues
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: false
Imports: reticulate, assertthat, utils, stats, graphics
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-10 18:19:32 UTC; cjerzak
Author: Fucheng Warren Zhu [aut] , Aniket Sachin Kamat [aut] , Connor Jerzak [aut, cre] , Rebecca Goldstein [aut]
Maintainer: Connor Jerzak <connor.jerzak@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-13 18:00:05 UTC

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New package FactorHet with initial version 1.0.0
Package: FactorHet
Title: Estimate Heterogeneous Effects in Factorial Experiments Using Grouping and Sparsity
Version: 1.0.0
Date: 2025-01-08
Description: Estimates heterogeneous effects in factorial (and conjoint) models. The methodology employs a Bayesian finite mixture of regularized logistic regressions, where moderators can affect each observation's probability of group membership and a sparsity-inducing prior fuses together levels of each factor while respecting ANOVA-style sum-to-zero constraints. Goplerud, Imai, and Pashley (2024) <doi:10.48550/ARXIV.2201.01357> provide further details.
Depends: R (>= 3.4.0)
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen (>= 0.3.3.4.0)
Imports: Rcpp (>= 1.0.1), Matrix, ggplot2, ParamHelpers, mlr, mlrMBO, smoof, lbfgs, methods, utils, stats
Suggests: FNN, RSpectra, mclust, ranger, tgp, testthat, covr, tictoc
LazyData: true
URL: https://github.com/mgoplerud/FactorHet
BugReports: https://github.com/mgoplerud/FactorHet/issues
NeedsCompilation: yes
Packaged: 2025-01-10 17:16:01 UTC; mg68977
Author: Max Goplerud [aut, cre], Nicole E. Pashley [aut], Kosuke Imai [aut]
Maintainer: Max Goplerud <mgoplerud@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2025-01-13 18:00:09 UTC

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New package dfeR with initial version 1.0.0
Package: dfeR
Title: Common Department for Education Analysis Tasks
Version: 1.0.0
Description: Preferred methods for common analytical tasks that are undertaken across the Department, including number formatting, project templates and curated reference data.
License: GPL (>= 3)
URL: https://dfe-analytical-services.github.io/dfeR/, https://github.com/dfe-analytical-services/dfeR
BugReports: https://github.com/dfe-analytical-services/dfeR/issues
Depends: R (>= 2.10)
Imports: dplyr, emoji, httr, jsonlite, lifecycle, magrittr, renv, rlang, tidyselect, usethis, utils, withr
Suggests: knitr, readxl, rmarkdown, spelling, stringr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-10 16:53:04 UTC; CRACE
Author: Cam Race [aut, cre], Department for Education, UK statistics.development@education.gov.uk [cph], Laura Selby [aut], Adam Robinson [aut], Jen Machin [ctb], Jake Tufts [ctb], Rich Bielby [ctb] , Menna Zayed [ctb]
Maintainer: Cam Race <cameron.race@education.gov.uk>
Repository: CRAN
Date/Publication: 2025-01-13 17:50:18 UTC

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New package bnns with initial version 0.1.2
Package: bnns
Title: Bayesian Neural Network with 'Stan'
Version: 0.1.2
Description: Offers a flexible formula-based interface for building and training Bayesian Neural Networks powered by 'Stan'. The package supports modeling complex relationships while providing rigorous uncertainty quantification via posterior distributions. With features like user chosen priors, clear predictions, and support for regression, binary, and multi-class classification, it is well-suited for applications in clinical trials, finance, and other fields requiring robust Bayesian inference and decision-making. References: Neal(1996) <doi:10.1007/978-1-4612-0745-0>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, knitr, mlbench, ranger, rmarkdown, rsample, testthat (>= 3.0.0)
Imports: BH, pROC, RcppEigen, rstan, stats
URL: https://github.com/swarnendu-stat/bnns, https://swarnendu-stat.github.io/bnns/
BugReports: https://github.com/swarnendu-stat/bnns/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-10 13:05:02 UTC; antpc
Author: Swarnendu Chatterjee [aut, cre, cph]
Maintainer: Swarnendu Chatterjee <swarnendu.stat@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-13 17:30:17 UTC

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New package soilassessment with initial version 0.3.0
Package: soilassessment
Title: Soil Health Assessment Models for Assessing Soil Conditions and Suitability
Version: 0.3.0
Description: Soil health assessment builds information to improve decision in soil management. It facilitates assessment of soil conditions for crop suitability [such as those given by FAO <https://www.fao.org/land-water/databases-and-software/crop-information/en/>], groundwater recharge, fertility, erosion, salinization [<doi:10.1002/ldr.4211>], carbon sequestration, irrigation potential, and status of soil resources.
License: GPL
Depends: R (>= 3.5.0)
Imports: caret, deSolve, e1071, FuzzyAHP, googledrive, Hmisc, methods, nnet, png, randomForest, raster, soiltexture, sp, sf, terra, stats
Suggests: arm, Cubist, aqp, kernlab, nlme, ranger, rpart, plyr, qrnn, quantregForest, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-13 01:22:10 UTC; Cthine
Author: Christian Thine Omuto [aut, cre]
Maintainer: Christian Thine Omuto <thineomuto@yahoo.com>
Repository: CRAN
Date/Publication: 2025-01-13 14:10:01 UTC

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New package quickPWCR with initial version 1.2
Package: quickPWCR
Title: Quickly Construct and Rate Large Binary Pairwised Comparisons
Version: 1.2
Date: 2025-01-12
Description: A collection of functions for constructing large pairwised comparisons and rating them using Elo rating system with supporting parallel processing. The method of random sample pairs is based on Reservoir Sampling proposed by JVitter (1985) <doi:10.1145/3147.3165>.
License: GPL-3
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
Imports: Rcpp, parallel, pbmcapply, dplyr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2025-01-13 04:16:48 UTC; yangxiaohao
Author: Xiaohao Yang [aut, cre, cph]
Maintainer: Xiaohao Yang <xiaohaoy@umich.edu>
Repository: CRAN
Date/Publication: 2025-01-13 14:10:06 UTC

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New package maraca with initial version 0.7.1
Package: maraca
Version: 0.7.1
Title: The Maraca Plot: Visualizing Hierarchical Composite Endpoints
License: Apache License (>= 2)
Description: Supports visual interpretation of hierarchical composite endpoints (HCEs). HCEs are complex constructs used as primary endpoints in clinical trials, combining outcomes of different types into ordinal endpoints, in which each patient contributes the most clinically important event (one and only one) to the analysis. See Karpefors M et al. (2022) <doi:10.1177/17407745221134949>.
URL: https://github.com/AstraZeneca/maraca
BugReports: https://github.com/AstraZeneca/maraca/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5), hce (>= 0.5), ggplot2 (>= 3.3)
Imports: dplyr (>= 1.0), tidyr (>= 1.2), checkmate (>= 2.1), patchwork(>= 1.0.0), lifecycle
Suggests: knitr (>= 1.39), here (>= 1.0.1), lintr (>= 3.0.0), withr (>= 2.5.0), testthat (>= 3.1), rmarkdown
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2025-01-13 13:12:55 UTC; hidden
Author: Martin Karpefors [aut] , Samvel B. Gasparyan [aut] , Stefano Borini [ctb], Monika Huhn [aut, cre]
Maintainer: Monika Huhn <monika.huhn@astrazeneca.com>
Repository: CRAN
Date/Publication: 2025-01-13 14:10:09 UTC

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New package dietr with initial version 1.1.6
Package: dietr
Version: 1.1.6
Date: 2025-1-12
Title: Diet Estimated Trophic Levels
Depends: R (>= 4.3)
Imports: rfishbase (>= 5.0)
Description: Estimates fractional trophic level from quantitative and qualitative diet data and calculates electivity indices in R. Borstein (2020) <doi:10.1007/s10750-020-04417-5>.
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/sborstein/dietr
BugReports: https://github.com/sborstein/dietr/issues
NeedsCompilation: no
Packaged: 2025-01-12 19:24:46 UTC; Sam
Author: Samuel R. Borstein [aut, cre]
Maintainer: Samuel R. Borstein <sam@borstein.com>
Repository: CRAN
Date/Publication: 2025-01-13 14:10:12 UTC

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Sat, 11 Jan 2025

New package openmpt with initial version 0.1.4
Package: openmpt
Title: Open 'ModPlug' Tracker Port
Version: 0.1.4
Description: Tracker music uses audio samples and pattern tables to organise musical compositions. Such music is stored in module files. This package reads, renders and plays module files using the 'libopenmpt' library <https://lib.openmpt.org/>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: av
Suggests: httr2, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0), xml2
LinkingTo: cpp11
SystemRequirements: openmpt: libopenmpt-devel (rpm) or libopenmpt-dev (deb), portaudio-devel (rpm) or portaudio19-dev (deb).
URL: https://pepijn-devries.github.io/openmpt/, https://github.com/pepijn-devries/openmpt, https://lib.openmpt.org/
BugReports: https://github.com/pepijn-devries/openmpt/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-08 23:06:24 UTC; vries171
Author: Pepijn de Vries [aut, cre] , Jeroen Ooms [ctb] , Jester [cph, dtc] , OpenMPT Project Developers and Contributors [cph]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Repository: CRAN
Date/Publication: 2025-01-11 16:00:02 UTC

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Fri, 10 Jan 2025

New package dcsvm with initial version 0.0.1
Package: dcsvm
Title: Density Convoluted Support Vector Machines
Version: 0.0.1
Date: 2025-01-08
Description: Implements an efficient algorithm for solving sparse-penalized support vector machines with kernel density convolution. This package is designed for high-dimensional classification tasks, supporting lasso (L1) and elastic-net penalties for sparse feature selection and providing options for tuning kernel bandwidth and penalty weights. The 'dcsvm' is applicable to fields such as bioinformatics, image analysis, and text classification, where high-dimensional data commonly arise. Learn more about the methodology and algorithm at Wang, Zhou, Gu, and Zou (2023) <doi:10.1109/TIT.2022.3222767>.
Depends: Matrix
Imports: grDevices, graphics, methods, stats
License: GPL-2
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2025-01-10 00:31:20 UTC; boxiang
Author: Boxiang Wang [aut, cre], Le Zhou [aut], Yuwen Gu [aut], Hui Zou [aut]
Maintainer: Boxiang Wang <boxiang-wang@uiowa.edu>
Repository: CRAN
Date/Publication: 2025-01-10 21:20:02 UTC

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New package CMHSU with initial version 0.0.6.9
Package: CMHSU
Title: Mental Health Status, Substance Use Status and their Concurrent Status in North American Healthcare Administrative Databases
Version: 0.0.6.9
Description: Patients' Mental Health (MH) status, Substance Use (SU) status, and concurrent MH/SU status in the American/Canadian Healthcare Administrative Databases can be identified. The detection is based on given parameters of interest by clinicians including the list of plausible ICD MH/SU codes (3/4/5 characters), the required number of visits of hospital for MH/SU , the required number of visits of service physicians for MH/SU, and the maximum time span within MH visits, within SU visits, and, between MH and SU visits. Methods are described in: Khan S <https://pubmed.ncbi.nlm.nih.gov/29044442/>, Keen C, et al. (2021) <doi:10.1111/add.15580>, Lavergne MR, et al. (2022) <doi:10.1186/s12913-022-07759-z>, Casillas, S M, et al. (2022) <doi:10.1016/j.abrep.2022.100464>, CIHI (2022) <https://www.cihi.ca/en>, CDC (2024) <https://www.cdc.gov>, WHO (2019) <https://icd.who.int/en>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: dplyr, magrittr, purrr, tidyr, utils
NeedsCompilation: no
Packaged: 2025-01-10 03:17:57 UTC; chelhee.lee
Author: Mohsen Soltanifar [aut] , Chel Hee Lee [cre, aut]
Maintainer: Chel Hee Lee <chelhee.lee@ucalgary.ca>
Repository: CRAN
Date/Publication: 2025-01-10 21:20:05 UTC

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New package BerkeleyForestsAnalytics with initial version 2.0.4
Package: BerkeleyForestsAnalytics
Title: Compute and Summarize Core Forest Metrics from Field Data
Version: 2.0.4
Description: A suite of open-source R functions designed to produce standard metrics for forest management and ecology from forest inventory data. The overarching goal is to minimize potential inconsistencies introduced by the algorithms used to compute and summarize core forest metrics. Learn more about the purpose of the package and the specific algorithms used in the package at <https://github.com/kearutherford/BerkeleyForestsAnalytics>.
License: file LICENSE
URL: https://github.com/kearutherford/BerkeleyForestsAnalytics
Depends: R (>= 2.10)
Imports: utils
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-10 00:21:42 UTC; kruth
Author: Kea Rutherford [aut, cre], John Battles [aut], Danny Foster [aut], The Regents of the University of California [cph]
Maintainer: Kea Rutherford <krutherford@berkeley.edu>
Repository: CRAN
Date/Publication: 2025-01-10 21:10:02 UTC

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New package S4DM with initial version 0.0.1
Package: S4DM
Title: Small Sample Size Species Distribution Modeling
Version: 0.0.1
Description: Implements a set of distribution modeling methods that are suited to species with small sample sizes (e.g., poorly sampled species or rare species). While these methods can also be used on well-sampled taxa, they are united by the fact that they can be utilized with relatively few data points. More details on the currently implemented methodologies can be found in Drake and Richards (2018) <doi:10.1002/ecs2.2373>, Drake (2015) <doi:10.1098/rsif.2015.0086>, and Drake (2014) <doi:10.1890/ES13-00202.1>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Imports: corpcor, densratio, flexclust, geometry, kernlab, maxnet, mvtnorm, np, pROC, robust, rvinecopulib, sf, terra, dplyr, Rdpack
Suggests: geodata, BIEN, ggplot2, tidyterra, knitr, testthat, rmarkdown
NeedsCompilation: no
Packaged: 2025-01-10 00:20:14 UTC; Brian Maitner
Author: Brian S. Maitner [aut, cre] , Robert L. Richards [aut], Ben S. Carlson [aut], John M. Drake [aut], Cory Merow [aut]
Maintainer: Brian S. Maitner <bmaitner@usf.edu>
Repository: CRAN
Date/Publication: 2025-01-10 21:00:02 UTC

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New package linevis with initial version 1.0.0
Package: linevis
Title: Interactive Time Series Visualizations
Version: 1.0.0
Description: Create interactive time series visualizations. 'linevis' includes an extensive API to manipulate time series after creation, and supports getting data out of the visualization. Based on the 'timevis' package and the 'vis.js' Timeline 'JavaScript' library <https://visjs.github.io/vis-timeline/docs/graph2d/>.
URL: https://gitlab.com/thomaschln/linevis
BugReports: https://gitlab.com/thomaschln/linevis/-/issues
Depends: R (>= 3.1.0)
Imports: crosstalk, htmlwidgets (>= 0.6), jsonlite, magrittr, methods, rmarkdown, shiny
Suggests: knitr, testthat (>= 0.9.1)
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-09 18:46:00 UTC; root
Author: Thomas Charlon [aut, cre] , Dean Attali [aut, cph], Almende B.V. [aut, cph]
Maintainer: Thomas Charlon <charlon@protonmail.com>
Repository: CRAN
Date/Publication: 2025-01-10 20:50:02 UTC

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New package nhanesA with initial version 1.3
Package: nhanesA
Version: 1.3
Date: 2025-01-08
Title: NHANES Data Retrieval
BugReports: https://github.com/cjendres1/nhanes/issues
Depends: R (>= 4.1.0), methods
Imports: stringr, foreign, rvest, xml2, dplyr, plyr
Description: Utility to retrieve data from the National Health and Nutrition Examination Survey (NHANES) website <https://www.cdc.gov/nchs/nhanes/>.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://cran.r-project.org/package=nhanesA
Suggests: knitr, DBI, odbc, RMariaDB, RPostgres, rmarkdown, survey, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-08 01:28:28 UTC; BadgerDancer
Author: Christopher Endres [aut, cre], Laha Ale [aut] , Robert Gentleman [aut], Deepayan Sarkar [aut]
Maintainer: Christopher Endres <cjendres1@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-10 15:10:02 UTC

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New package geneviewer with initial version 0.1.10
Package: geneviewer
Title: Gene Cluster Visualizations
Version: 0.1.10
Maintainer: Niels van der Velden <n.s.j.vandervelden@gmail.com>
Description: Provides tools for plotting gene clusters and transcripts by importing data from GenBank, FASTA, and GFF files. It performs BLASTP and MUMmer alignments [Altschul et al. (1990) <doi:10.1016/S0022-2836(05)80360-2>; Delcher et al. (1999) <doi:10.1093/nar/27.11.2369>] and displays results on gene arrow maps. Extensive customization options are available, including legends, labels, annotations, scales, colors, tooltips, and more.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Language: en-US
URL: https://github.com/nvelden/geneviewer
BugReports: https://github.com/nvelden/geneviewer/issues
Depends: R (>= 3.5.0)
Imports: htmlwidgets, fontawesome, magrittr, dplyr, tidyr, rlang
Suggests: knitr, rmarkdown, shiny, biomaRt, pwalign, Biostrings, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-09 15:43:46 UTC; nielsvandervelden
Author: Niels van der Velden [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-10 14:40:02 UTC

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New package exams.forge.data with initial version 0.1.0
Package: exams.forge.data
Title: Precomputed Dataset Collection Used in 'exams.forge'
Version: 0.1.0
Description: The dataset collection supports Pearson correlation and linear regression analysis, with datasets for n=100,200,400,800,1000, where n is the sum of squared values in x. Each dataset has x values summing to zero, with sample sizes (observations in x) ranging from 2 to 10. Additional data frames include variables with German names and measurement levels, and distribution details with R function names, LaTeX names, discreteness, and package origins.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-01-09 14:44:00 UTC; sigbert
Author: Sigbert Klinke [aut, cre]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>
Repository: CRAN
Date/Publication: 2025-01-10 14:40:06 UTC

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New package DHSr with initial version 0.1.0
Package: DHSr
Title: Create Large Scale Repeated Regression Summary Statistics Dataset and Visualization Seamlessly
Version: 0.1.0
Maintainer: Arnab Samanta <arnob.shamanta62@gmail.com>
Description: Mapping, spatial analysis, and statistical modeling of microdata from sources such as the Demographic and Health Surveys <https://www.dhsprogram.com/> and Integrated Public Use Microdata Series <https://www.ipums.org/>. It can also be extended to other datasets. The package supports spatial correlation index construction and visualization, along with empirical Bayes approximation of regression coefficients in a multistage setup. The main functionality is repeated regression — for example, if we have to run regression for n groups, the group ID should be vertically composed into the variable for the parameter `location_var`. It can perform various kinds of regression, such as Generalized Regression Models, logit, probit, and more. Additionally, it can incorporate interaction effects. The key benefit of the package is its ability to store the regression results performed repeatedly on a dataset by the group ID, along with respective p-values and map those estimates.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, rlang, sf, spdep, viridis, nlme, MuMIn, tidyr, stats
Suggests: knitr, spData, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-09 17:34:14 UTC; 91911
Author: Arnab Samanta [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-10 15:00:06 UTC

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New package simulist with initial version 0.4.0
Package: simulist
Title: Simulate Disease Outbreak Line List and Contacts Data
Version: 0.4.0
Description: Tools to simulate realistic raw case data for an epidemic in the form of line lists and contacts using a branching process. Simulated outbreaks are parameterised with epidemiological parameters and can have age structured populations, age-stratified hospitalisation and death risk and time-varying case fatality risk.
License: MIT + file LICENSE
URL: https://github.com/epiverse-trace/simulist, https://epiverse-trace.github.io/simulist/
BugReports: https://github.com/epiverse-trace/simulist/issues
Depends: R (>= 3.6.0)
Imports: checkmate, epiparameter (>= 0.4.0), randomNames, rlang, stats
Suggests: dplyr, epicontacts (>= 1.1.3), ggplot2, incidence2 (>= 2.1.0), knitr, rmarkdown, spelling, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2025-01-09 14:04:38 UTC; lshjl15
Author: Joshua W. Lambert [aut, cre, cph] , Carmen Tamayo [aut] , Hugo Gruson [ctb, rev] , Pratik R. Gupte [ctb, rev] , Adam Kucharski [rev] , Chris Hartgerink [rev]
Maintainer: Joshua W. Lambert <joshua.lambert@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2025-01-10 14:00:02 UTC

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New package HEssRNA with initial version 1.0.1
Package: HEssRNA
Title: Heritability-Based Estimation of Sample Size for RNA-Seq Data
Version: 1.0.1
Description: Provides tools for estimating sample sizes primarily based on heritability, while also considering additional parameters such as statistical power and fold change. The package normalizes heritability values according to trait-specific heritability and classification to enhance accuracy in sample size estimation.
License: GPL-3
Encoding: UTF-8
Suggests: car, testthat (>= 3.0.0)
Imports: tidyr, dplyr, magrittr, stats, utils, DESeq2, ssizeRNA, Rdpack
NeedsCompilation: no
Packaged: 2024-12-24 09:09:39 UTC; hp
Author: Naina Kumari [aut], Jagajjit Sahu [aut], Sarika Jaiswal [aut, cre], Mir Asif Iquebal [aut], Dinesh Kumar [aut]
Maintainer: Sarika Jaiswal <sarika@icar.gov.in>
Repository: CRAN
Date/Publication: 2025-01-10 13:50:01 UTC

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New package gsaot with initial version 0.1.0
Package: gsaot
Title: Compute Global Sensitivity Analysis Indices Using Optimal Transport
Version: 0.1.0
Description: Computing Global Sensitivity Indices from given data using Optimal Transport, as defined in Borgonovo et al (2024) <doi:10.1287/mnsc.2023.01796>. You provide an input sample, an output sample, decide the algorithm, and compute the indices.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: boot, ggplot2, patchwork (>= 1.2.0), Rcpp, RcppEigen (>= 0.3.4.0.0), Rdpack (>= 2.4), stats, transport (>= 0.15.0)
URL: https://github.com/pietrocipolla/gsaot, https://pietrocipolla.github.io/gsaot/
BugReports: https://github.com/pietrocipolla/gsaot/issues
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-09 14:05:11 UTC; dagileonardo
Author: Leonardo Chiani [aut, cre, cph] , Emanuele Borgonovo [rev], Elmar Plischke [rev], Massimo Tavoni [rev]
Maintainer: Leonardo Chiani <leonardo.chiani@polimi.it>
Repository: CRAN
Date/Publication: 2025-01-10 14:00:06 UTC

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Thu, 09 Jan 2025

New package RLescalation with initial version 1.0.1
Package: RLescalation
Title: Optimal Dose Escalation Using Deep Reinforcement Learning
Version: 1.0.1
Description: An implementation to compute an optimal dose escalation rule using deep reinforcement learning in phase I oncology trials (Matsuura et al. (2023) <doi:10.1080/10543406.2023.2170402>). The dose escalation rule can directly optimize the percentages of correct selection (PCS) of the maximum tolerated dose (MTD).
URL: https://github.com/MatsuuraKentaro/RLescalation
BugReports: https://github.com/MatsuuraKentaro/RLescalation/issues
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: glue, R6, nleqslv, reticulate, stats, utils
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-01-09 06:02:07 UTC; kmatsuu
Author: Kentaro Matsuura [aut, cre, cph]
Maintainer: Kentaro Matsuura <matsuurakentaro55@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-09 18:10:05 UTC

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New package bayesestdft with initial version 1.0.0
Package: bayesestdft
Title: Estimating the Degrees of Freedom of the Student's t-Distribution under a Bayesian Framework
Version: 1.0.0
Description: A Bayesian framework to estimate the Student's t-distribution's degrees of freedom is developed. Markov Chain Monte Carlo sampling routines are developed as in <doi:10.3390/axioms11090462> to sample from the posterior distribution of the degrees of freedom. A random walk Metropolis algorithm is used for sampling when Jeffrey's and Gamma priors are endowed upon the degrees of freedom. In addition, the Metropolis-adjusted Langevin algorithm for sampling is used under the Jeffrey's prior specification. The Log-normal prior over the degrees of freedom is posed as a viable choice with comparable performance in simulations and real-data application, against other prior choices, where an Elliptical Slice Sampler is used to sample from the concerned posterior.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Roy-SR-007/bayesestdft
BugReports: https://github.com/Roy-SR-007/bayesestdft/issues
Imports: numDeriv, dplyr
Depends: R (>= 4.0.4)
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-09 05:01:34 UTC; somjit
Author: Somjit Roy [aut, cre], Se Yoon Lee [aut, ctb]
Maintainer: Somjit Roy <sroy_123@tamu.edu>
Repository: CRAN
Date/Publication: 2025-01-09 18:10:01 UTC

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New package IVCor with initial version 0.1.0
Package: IVCor
Title: A Robust Integrated Variance Correlation
Version: 0.1.0
Description: A integrated variance correlation is proposed to measure the dependence between a categorical or continuous random variable and a continuous random variable or vector. This package is designed to estimate the new correlation coefficient with parametric and nonparametric approaches. Test of independence for different problems can also be implemented via the new correlation coefficient with this package.
License: GPL-3
Encoding: UTF-8
Imports: splines, quantreg, BwQuant, quantdr, stats
Suggests: knitr, mvtnorm, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-09 02:24:25 UTC; Surface
Author: Wei Xiong [aut], Han Pan [aut, cre], Hengjian Cui [aut]
Maintainer: Han Pan <scott_pan@163.com>
Repository: CRAN
Date/Publication: 2025-01-09 18:00:02 UTC

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New package hydReng with initial version 0.1.0
Package: hydReng
Title: Hydraulic Engineering Tools
Version: 0.1.0
Description: The 'hydReng' package provides a set of functions for hydraulic engineering tasks and natural hazard assessments. It includes basic hydraulics (wetted area, wetted perimeter, flow, flow velocity, flow depth, and maximum flow) for open channels with arbitrary geometry under uniform flow conditions. For structures such as circular pipes, weirs, and gates, the package includes calculations for pressure flow, backwater depth, and overflow over a weir crest. Additionally, it provides formulas for calculating bedload transport. The formulas used can be found in standard literature on hydraulics, such as Bollrich (2019, ISBN:978-3-410-29169-5) or Hager (2011, ISBN:978-3-642-77430-0).
License: GPL-3
Encoding: UTF-8
URL: https://github.com/NiccoloGalatioto/hydReng
BugReports: https://github.com/NiccoloGalatioto/hydReng/issues
Suggests: testthat (>= 3.0.0)
Imports: methods
NeedsCompilation: no
Packaged: 2025-01-08 20:58:10 UTC; NICCOLO
Author: Galatioto Niccolo [cre, aut], Buehlmann Marius [aut], HOLINGER AG [cph, fnd]
Maintainer: Galatioto Niccolo <niccolo.galatioto@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-09 17:40:02 UTC

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New package VARcpDetectOnline with initial version 0.1.0
Package: VARcpDetectOnline
Title: Sequential Change Point Detection for High-Dimensional VAR Models
Version: 0.1.0
Description: Implements the algorithm introduced in Tian, Y., and Safikhani, A. (2024) <doi:10.5705/ss.202024.0182>, "Sequential Change Point Detection in High-dimensional Vector Auto-regressive Models". This package provides tools for detecting change points in the transition matrices of Vector Auto-Regressive (VAR) models, effectively identifying shifts in temporal and cross-correlations within high-dimensional time series data. The package includes functions to generate synthetic VAR data, detect change points in high-dimensional time series, and analyze real-world data. It also demonstrates an application to financial data: the daily log returns of 186 S&P 500 stocks from 2004-02-06 to 2016-03-02.
Encoding: UTF-8
LazyData: true
Imports: MASS, sparsevar
Suggests: ggplot2
License: MIT + file LICENSE
URL: https://github.com/Helloworld9293/VARcpDetectOnline
BugReports: https://github.com/Helloworld9293/VARcpDetectOnline/issues
NeedsCompilation: no
Packaged: 2025-01-08 14:59:15 UTC; AAA
Author: Yuhan Tian [aut, cre], Abolfazl Safikhani [aut]
Maintainer: Yuhan Tian <yuhan.tian@ufl.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-01-09 14:10:02 UTC

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New package QAEnsemble with initial version 1.0.0
Package: QAEnsemble
Title: Ensemble Quadratic and Affine Invariant Markov Chain Monte Carlo
Version: 1.0.0
Description: The Ensemble Quadratic and Affine Invariant Markov chain Monte Carlo algorithms provide an efficient way to perform Bayesian inference in difficult parameter space geometries. The Ensemble Quadratic Monte Carlo algorithm was developed by Militzer (2023) <doi:10.3847/1538-4357/ace1f1>. The Ensemble Affine Invariant algorithm was developed by Goodman and Weare (2010) <doi:10.2140/camcos.2010.5.65> and it was implemented in Python by Foreman-Mackey et al (2013) <doi:10.48550/arXiv.1202.3665>. The Quadratic Monte Carlo method was shown to perform better than the Affine Invariant method in the paper by Militzer (2023) <doi:10.3847/1538-4357/ace1f1> and the Quadratic Monte Carlo method is the default method used. The Chen-Shao Highest Posterior Density Estimation algorithm is used for obtaining credible intervals and the potential scale reduction factor diagnostic is used for checking the convergence of the chains.
License: GPL (>= 2)
Encoding: UTF-8
Suggests: coda, diagram, expm, knitr, rmarkdown, svMisc
VignetteBuilder: knitr
Imports: stats
NeedsCompilation: no
Packaged: 2025-01-08 18:47:26 UTC; wroda
Author: Weston Roda [aut, cre] , Karsten Hempel [aut] , Sasha van Katwyk [aut] , Diepreye Ayabina [aut] , Children's Hospital of Eastern Ontario [fnd], Canada's Drug Agency [fnd], Institute of Health Economics [cph]
Maintainer: Weston Roda <wroda@ihe.ca>
Repository: CRAN
Date/Publication: 2025-01-09 14:50:05 UTC

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New package jetty with initial version 0.1.0
Package: jetty
Title: Execute R in a 'Docker' Context
Version: 0.1.0
Description: The goal of 'jetty' is to execute R functions and code snippets in an isolated R subprocess within a 'Docker' container and return the evaluated results to the local R session. 'jetty' can install necessary packages at runtime and seamlessly propagates errors and outputs from the 'Docker' subprocess back to the main session. 'jetty' is primarily designed for sandboxed testing and quick execution of example code.
License: GPL (>= 3)
Encoding: UTF-8
Imports: renv (>= 1.0.0), rlang
Suggests: here, Matrix, ggplot2, testthat (>= 3.0.0)
URL: https://github.com/dmolitor/jetty, http://www.dmolitor.com/jetty/
BugReports: https://github.com/dmolitor/jetty/issues
NeedsCompilation: no
Packaged: 2025-01-08 17:59:08 UTC; dmolitor
Author: Daniel Molitor [aut, cph, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-09 14:50:02 UTC

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New package invivoPKfit with initial version 2.0.0
Package: invivoPKfit
Title: Fits Toxicokinetic Models to In Vivo PK Data Sets
Version: 2.0.0
Date: 2024-12-23
Author: John Wambaugh [aut, cre] , Caroline Ring [aut] , Gilberto Padilla Mercado [aut] , Chris Cook [aut]
Maintainer: John Wambaugh <wambaugh.john@epa.gov>
Description: Takes in vivo toxicokinetic concentration-time data and fits parameters of 1-compartment and 2-compartment models for each chemical. These methods are described in detail in "Informatics for Toxicokinetics" (submitted).
License: GPL-3
Depends: R (>= 3.5.0)
Imports: cli, devtools, dplyr, ggplot2, glue, httk, magrittr, MASS, Matrix, multidplyr (>= 0.1.3), numDeriv, optimx, PK, pracma, purrr, rlang, scales, tibble, tidyr, tidyselect
Suggests: cowplot, knitr, RColorBrewer, rmarkdown, stringr, testthat (>= 3.0.0), tidyverse
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: no
Packaged: 2025-01-08 15:27:26 UTC; GPADILLA
Repository: CRAN
Date/Publication: 2025-01-09 14:30:02 UTC

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New package ColombiAPI with initial version 0.1.0
Package: ColombiAPI
Title: Access Colombia's Public Data via 'API-Colombia'
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides a seamless interface to access diverse public data about Colombia through the 'API-Colombia', a RESTful API. The package enables users to explore various aspects of Colombia, including general information, geography, and cultural insights. It includes five API-related functions to retrieve data on topics such as Colombia's general information, airports, departments, regions, and presidents. Additionally, 'ColombiAPI' offers a built-in function to view the datasets available within the package. The package also includes curated datasets covering Bogota air stations, business and holiday dates, public schools, Colombian coffee exports, cannabis licenses, Medellin rainfall, and malls in Bogota, making it a comprehensive tool for exploring Colombia's data. For more details on the 'API-Colombia', see <https://api-colombia.com/>.
License: GPL-3
URL: https://github.com/lightbluetitan/colombiapi, https://lightbluetitan.github.io/colombiapi/
BugReports: https://github.com/lightbluetitan/colombiapi/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
Imports: httr, jsonlite, dplyr, magrittr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-08 17:09:40 UTC; renzocrossi
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-01-09 15:00:02 UTC

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New package collett with initial version 0.1.0
Package: collett
Title: Datasets from "Modelling Survival Data in Medical Research" by Collett
Version: 0.1.0
Maintainer: Mark Clements <mark.clements@ki.se>
Description: Datasets for the book entitled "Modelling Survival Data in Medical Research" by Collett (2023) <doi:10.1201/9781003282525>. The datasets provide extensive examples of time-to-event data.
URL: https://github.com/mclements/collett
BugReports: https://github.com/mclements/collett/issues
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: utils
Suggests: survival
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-08 16:25:24 UTC; marcle
Author: Mark Clements [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-09 14:30:13 UTC

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New package pacta.multi.loanbook with initial version 0.1.1
Package: pacta.multi.loanbook
Title: Run 'PACTA' on Multiple Loan Books Easily
Version: 0.1.1
Description: Run Paris Agreement Capital Transition Assessment ('PACTA') analyses on multiple loan books in a structured way. Provides access to standard 'PACTA' metrics and additional 'PACTA'-related metrics for multiple loan books. Results take the form of 'csv' files and plots and are exported to user-specified project paths.
Encoding: UTF-8
Imports: cli (>= 3.2.0), config, dplyr, ggalluvial, ggplot2, ggrepel, glue, r2dii.analysis (>= 0.3.0), r2dii.data (>= 0.5.0), r2dii.match (>= 0.3.0), r2dii.plot (>= 0.4.0), readr (>= 2.0.0), readxl, rlang, scales, tidyr, yaml, yesno
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Suggests: DiagrammeR, gt, knitr, pkgdown, rmarkdown, usethis, testthat (>= 3.1.9), tibble, withr, writexl
VignetteBuilder: knitr
URL: https://rmi-pacta.github.io/pacta.multi.loanbook/, https://github.com/RMI-PACTA/pacta.multi.loanbook/
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-08 13:47:09 UTC; jkastl
Author: Jacob Kastl [aut, cre, ctr] , CJ Yetman [aut, ctr] , Monika Furdyna [aut, ctr] , RMI [cph, fnd]
Maintainer: Jacob Kastl <jacob.kastl@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-09 14:00:01 UTC

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New package ellmer with initial version 0.1.0
Package: ellmer
Title: Chat with Large Language Models
Version: 0.1.0
Description: Chat with large language models from a range of providers including 'Claude' <https://claude.ai>, 'OpenAI' <https://chatgpt.com>, and more. Supports streaming, asynchronous calls, tool calling, and structured data extraction.
License: MIT + file LICENSE
URL: https://ellmer.tidyverse.org, https://github.com/tidyverse/ellmer
BugReports: https://github.com/tidyverse/ellmer/issues
Imports: cli, coro (>= 1.1.0), glue, httr2 (>= 1.0.7), jsonlite, later (>= 1.4.0), promises (>= 1.3.1), R6, rlang (>= 1.1.0), S7 (>= 0.2.0)
Suggests: base64enc, bslib, curl (>= 6.0.1), gitcreds, knitr, magick, openssl, paws.common, rmarkdown, shiny, shinychat (>= 0.1.1), testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-07 23:15:32 UTC; hadleywickham
Author: Hadley Wickham [aut, cre], Joe Cheng [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>
Repository: CRAN
Date/Publication: 2025-01-09 13:50:05 UTC

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New package rdss with initial version 1.0.14
Package: rdss
Title: Companion Datasets and Functions for Research Design in the Social Sciences
Version: 1.0.14
Description: Helper functions to accompany the Blair, Coppock, and Humphreys (2022) "Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign" <https://book.declaredesign.org>. 'rdss' includes datasets, helper functions, and plotting components to enable use and replication of the book.
Imports: dplyr, rlang (>= 1.0.0), generics, ggplot2, tibble, tidyr, dataverse, readr, broom, purrr, estimatr, randomizr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), rdrobust, DIDmultiplegt, broom.mixed, marginaleffects, grf, CausalQueries, metafor, cjoint, lme4, rstanarm, spdep, DeclareDesign, curl
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-01-09 03:31:45 UTC; gblair
Author: Graeme Blair [aut, cre] , Alexander Coppock [aut] , Macartan Humphreys [aut]
Maintainer: Graeme Blair <graeme.blair@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-09 12:10:02 UTC

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New package approxOT with initial version 1.2
Package: approxOT
Title: Approximate and Exact Optimal Transport Methods
Version: 1.2
Date: 2025-01-06
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>
Description: R and C++ functions to perform exact and approximate optimal transport. All C++ methods can be linked to other R packages via their header files.
License: GPL (== 3.0)
Imports: Rcpp (>= 1.0.3), stats
LinkingTo: Rcpp, RcppEigen, RcppCGAL, BH
BugReports: https://github.com/ericdunipace/approxOT/issues
Suggests: testthat (>= 2.1.0), transport
Encoding: UTF-8
SystemRequirements: C++17
URL: https://github.com/ericdunipace/approxOT
NeedsCompilation: yes
Packaged: 2025-01-09 00:44:28 UTC; eifer
Author: Eric Dunipace [aut, cre] , Andrew Johnson [ctb] , Espen Bernton [ctb] , Mathieu Gerber [ctb] , Pierre Jacob [ctb] , Dominic Schuhmacher [ctb] , Nicolas Bonneel [ctb]
Repository: CRAN
Date/Publication: 2025-01-09 12:30:06 UTC

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Wed, 08 Jan 2025

New package vegIndexCalc with initial version 0.1.0
Package: vegIndexCalc
Title: Vegetation Indices (VIs) Calculation for Remote Sensing Analysis
Version: 0.1.0
Maintainer: Bijoy Chanda <bijoychanda08@gmail.com>
Description: It provides a comprehensive toolkit for calculating a suite of common vegetation indices (VIs) derived from remote sensing imagery. VIs are essential tools used to quantify vegetation characteristics, such as biomass, leaf area index (LAI) and photosynthetic activity, which are essential parameters in various ecological, agricultural, and environmental studies. Applications of this package include biomass estimation, crop monitoring, forest management, land use and land cover change analysis and climate change studies. For method details see, Deb,D.,Deb,S.,Chakraborty,D.,Singh,J.P.,Singh,A.K.,Dutta,P.and Choudhury,A.(2020)<doi:10.1080/10106049.2020.1756461>. Utilizing this R package, users can effectively extract and analyze critical information from remote sensing imagery, enhancing their comprehension of vegetation dynamics and their importance in global ecosystems. The package includes the function vegetation_indices().
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-08 08:02:46 UTC; ICAR-CAFRI
Author: Dibyendu Deb [aut, ctb], Arpan Bhowmik [aut, ctb], Bijoy Chanda [aut, cre, ctb], J.P. Singh [aut], Sunil Mandi [aut], Alemwati Pongener [aut]
Repository: CRAN
Date/Publication: 2025-01-08 16:30:01 UTC

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New package rmlnomogram with initial version 0.1.2
Package: rmlnomogram
Title: Construct Explainable Nomogram for a Machine Learning Model
Version: 0.1.2
Description: Construct an explainable nomogram for a machine learning (ML) model to improve availability of an ML prediction model in addition to a computer application, particularly in a situation where a computer, a mobile phone, an internet connection, or the application accessibility are unreliable. This package enables a nomogram creation for any ML prediction models, which is conventionally limited to only a linear/logistic regression model. This nomogram may indicate the explainability value per feature, e.g., the Shapley additive explanation value, for each individual. However, this package only allows a nomogram creation for a model using categorical without or with single numerical predictors. Detailed methodologies and examples are documented in our vignette, available at <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rmlnomogram/blob/master/doc/ml_nomogram_exemplar.html>.
Depends: R (>= 4.4)
Imports: dplyr, purrr, broom, stats, ggplot2, ggpubr, stringr, tidyr, utils
Suggests: tidyverse, knitr, caret, randomForest, iml, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-08 10:07:20 UTC; rstudio
Author: Herdiantri Sufriyana [aut, cre] , Emily Chia-Yu Su [aut]
Maintainer: Herdiantri Sufriyana <herdi@nycu.edu.tw>
Repository: CRAN
Date/Publication: 2025-01-08 16:40:02 UTC

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New package MOODE with initial version 1.0.1
Package: MOODE
Title: Multi-Objective Optimal Design of Experiments
Version: 1.0.1
Description: Provides functionality to generate compound optimal designs for targeting the multiple experimental objectives directly, ensuring that the full set of research questions is answered as economically as possible. Designs can be found using point or coordinate exchange algorithms combining estimation, inference and lack-of-fit criteria that account for model inadequacy. Details and examples are given by Koutra et al. (2024) <doi:10.48550/arXiv.2412.17158>.
License: GPL (>= 3)
URL: https://github.com/vkstats/MOODE
BugReports: https://github.com/vkstats/MOODE/issues
Imports: cli, far, progressr, Rdpack, rlang
Suggests: doFuture, foreach
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-08 05:43:28 UTC; vallia
Author: Vasiliki Koutra [aut, cre, cph] , Olga Egorova [aut, cph], Steven Gilmour [aut, cph], Luzia Trinca [aut, cph]
Maintainer: Vasiliki Koutra <vasiliki.koutra@kcl.ac.uk>
Repository: CRAN
Date/Publication: 2025-01-08 16:10:02 UTC

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New package MADMMplasso with initial version 1.0.0
Package: MADMMplasso
Title: Multi Variate Multi Response ADMM with Interaction Effects
Version: 1.0.0
Description: This system allows one to model a multi-variate, multi-response problem with interaction effects. It combines the usual squared error loss for the multi-response problem with some penalty terms to encourage responses that correlate to form groups and also allow for modeling main and interaction effects that exit within the covariates. The optimization method employed is the Alternating Direction Method of Multipliers (ADMM). The implementation is based on the methodology presented on Quachie Asenso, T., & Zucknick, M. (2023) <doi:10.48550/arXiv.2303.11155>.
Imports: Matrix, MASS, Rcpp, RcppArmadillo, foreach, doParallel, class, graphics, parallel, stats, spatstat.sparse, methods
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), lintr
License: GPL-3
Encoding: UTF-8
Date: 2025-01-08
Language: en-GB
NeedsCompilation: yes
Packaged: 2025-01-08 11:56:39 UTC; waldir
Author: Theophilus Quachie Asenso [aut], Manuela Zucknick [aut], Waldir Leoncio [aut, cre] , Chi Zhang [aut]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>
Repository: CRAN
Date/Publication: 2025-01-08 16:40:06 UTC

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New package drone with initial version 1.0.0
Package: drone
Title: Data for Data Visualisation Geometries Encyclopedia
Version: 1.0.0
Description: This is the companion package to the Data Visualization Geometries Encyclopedia, providing seamless access to the associated data.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: utils
NeedsCompilation: no
Packaged: 2025-01-08 07:16:47 UTC; DELL
Author: Thiyanga S. Talagala [aut, cre]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
Repository: CRAN
Date/Publication: 2025-01-08 16:20:02 UTC

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New package dRiftDM with initial version 0.2.1
Package: dRiftDM
Title: Estimating (Time-Dependent) Drift Diffusion Models
Version: 0.2.1
License: MIT + file LICENSE
Description: Fit and explore Drift Diffusion Models (DDMs), a common tool in psychology for describing decision processes in simple tasks. It can handle both time-independent and time-dependent DDMs. You either choose prebuilt models or create your own, and the package takes care of model predictions and parameter estimation. Model predictions are derived via the numerical solutions provided by Richter, Ulrich, and Janczyk (2023, <doi:10.1016/j.jmp.2023.102756>).
Suggests: testthat (>= 3.0.0), cowsay, knitr, rmarkdown, DMCfun, truncnorm, vdiffr
Encoding: UTF-8
LazyData: true
Imports: withr, parallel, DEoptim, dfoptim, Rcpp, Rdpack, progress, stats
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
URL: https://github.com/bucky2177/dRiftDM, https://bucky2177.github.io/dRiftDM/
BugReports: https://github.com/bucky2177/dRiftDM/issues
NeedsCompilation: yes
Packaged: 2025-01-08 08:26:07 UTC; vkoob
Author: Valentin Koob [cre, aut, cph], Thomas Richter [aut, cph], Markus Janczyk [ctb]
Maintainer: Valentin Koob <v.koob@web.de>
Repository: CRAN
Date/Publication: 2025-01-08 16:30:05 UTC

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New package tidyprompt with initial version 0.0.1
Package: tidyprompt
Title: Prompt Large Language Models and Enhance Their Functionality
Version: 0.0.1
Description: Easily construct prompts and associated logic for interacting with large language models (LLMs). 'tidyprompt' introduces the concept of prompt wraps, which are building blocks that you can use to quickly turn a simple prompt into a complex one. Prompt wraps do not just modify the prompt text, but also add extraction and validation functions that will be applied to the response of the LLM. This ensures that the user gets the desired output. 'tidyprompt' can add various features to prompts and their evaluation by LLMs, such as structured output, automatic feedback, retries, reasoning modes, autonomous R function calling, and R code generation and evaluation. It is designed to be compatible with any LLM provider that offers chat completion.
License: GPL (>= 3) | file LICENSE
Encoding: UTF-8
URL: https://github.com/tjarkvandemerwe/tidyprompt, https://tjarkvandemerwe.github.io/tidyprompt/
BugReports: https://github.com/tjarkvandemerwe/tidyprompt/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), here, callr, skimr, jsonvalidate, tidyjson, DBI
VignetteBuilder: knitr
Imports: dplyr, glue, httr2, jsonlite, stringr, utils, cli
NeedsCompilation: no
Packaged: 2025-01-07 21:45:11 UTC; dhrko
Author: Luka Koning [aut, cre, cph], Tjark Van de Merwe [aut, cph], Kennispunt Twente [fnd]
Maintainer: Luka Koning <l.koning@kennispunttwente.nl>
Repository: CRAN
Date/Publication: 2025-01-08 15:30:02 UTC

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New package npiv with initial version 0.1.3
Package: npiv
Title: Nonparametric Instrumental Variables Estimation and Inference
Version: 0.1.3
Date: 2024-12-10
Imports: progress, MASS, Formula, withr
Maintainer: Timothy Christensen <timothy.christensen@yale.edu>
Description: Implements methods introduced in Chen, Christensen, and Kankanala (2024) <doi:10.1093/restud/rdae025> for estimating and constructing uniform confidence bands for nonparametric structural functions using instrumental variables, including data-driven choice of tuning parameters. All methods in this package apply to nonparametric regression as a special case.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2025-01-07 18:18:07 UTC; tmc49
Author: Jeffrey S. Racine [aut], Timothy Christensen [aut, cre], Patrick Alken [ctb], Rhys Ulerich [ctb], Simon N. Wood [ctb]
Repository: CRAN
Date/Publication: 2025-01-08 15:10:02 UTC

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New package learner with initial version 0.1.0
Package: learner
Title: Latent Space-Based Transfer Learning
Version: 0.1.0
Maintainer: Sean McGrath <sean.mcgrath514@gmail.com>
Description: Implements transfer learning methods for low-rank matrix estimation. These methods leverage similarity in the latent row and column spaces between the source and target populations to improve estimation in the target population. The methods include the LatEnt spAce-based tRaNsfer lEaRning (LEARNER) method and the direct projection LEARNER (D-LEARNER) method described by McGrath et al. (2024) <doi:10.48550/arXiv.2412.20605>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/stmcg/learner
BugReports: https://github.com/stmcg/learner/issues
Imports: doParallel, foreach, ScreeNOT
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-01-07 19:57:41 UTC; Sean
Author: Sean McGrath [aut, cre] , Cenhao Zhu [aut], Rui Duan [aut]
Repository: CRAN
Date/Publication: 2025-01-08 15:10:08 UTC

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New package KOFM with initial version 0.1.1
Package: KOFM
Title: Test the Kronecker Product Structure in Tensor Factor Models
Version: 0.1.1
Date: 2025-01-02
Author: Zetai Cen [aut, cre]
Maintainer: Zetai Cen <z.cen@lse.ac.uk>
Description: To test if a tensor time series following a Tucker-decomposition factor model has a Kronecker product structure. Supplementary functions for tensor reshape and its reversal are also included.
License: GPL-3
Imports: tensorMiss, MEFM, RSpectra, stats, utils
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-02 12:25:05 UTC; pc
Repository: CRAN
Date/Publication: 2025-01-08 15:50:02 UTC

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New package goldilocks with initial version 0.4.0
Package: goldilocks
Title: Goldilocks Adaptive Trial Designs for Time-to-Event Endpoints
Version: 0.4.0
Description: Implements the Goldilocks adaptive trial design for a time to event outcome using a piecewise exponential model and conjugate Gamma prior distributions. The method closely follows the article by Broglio and colleagues <doi:10.1080/10543406.2014.888569>, which allows users to explore the operating characteristics of different trial designs.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/graemeleehickey/goldilocks
BugReports: https://github.com/graemeleehickey/goldilocks/issues
Depends: R (>= 3.6.0), survival
Imports: dplyr, parallel, pbmcapply, PWEALL, Rcpp, rlang, stats
Suggests: covr, testthat (>= 3.0.0), knitr, rmarkdown
LinkingTo: BH, Rcpp
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-01-07 21:54:40 UTC; hickeg3
Author: Graeme L. Hickey [aut, cre] , Ying Wan [aut], Thevaa Chandereng [aut] , Becton, Dickinson and Company [cph], Tim Kacprowski [ctb]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-08 15:30:08 UTC

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New package cdid with initial version 0.1.0
Package: cdid
Title: The Chained Difference-in-Differences
Version: 0.1.0
URL: https://github.com/joelcuerrier/cdid
Maintainer: David Benatia <david.benatia@hec.ca>
Description: Extends the 'did' package to improve efficiency and handling of unbalanced panel data. Bellego, Benatia, and Dortet-Bernadet (2024), "The Chained Difference-in-Differences", Journal of Econometrics, <doi:10.1016/j.jeconom.2024.105783>.
License: GPL-2
Encoding: UTF-8
Imports: Matrix, purrr, MASS, did, BMisc, methods, stats, utils
BugReports: https://github.com/joelcuerrier/cdid/issues
VignetteBuilder: knitr
Suggests: rmarkdown, knitr, openxlsx, data.table, jsonlite, stargazer, devtools,
NeedsCompilation: no
Packaged: 2025-01-07 18:07:00 UTC; dvbn
Author: David Benatia [cre, aut], Christophe Bellego [aut], Joel Cuerrier [aut], Vincent Dortet-Bernadet [aut]
Repository: CRAN
Date/Publication: 2025-01-08 15:10:12 UTC

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New package voronoifortune with initial version 1.0
Package: voronoifortune
Version: 1.0
Date: 2025-01-07
Title: Voronoi Tessellation by Fortune Algorithm
Description: Fortune's (1987, <doi:10.1007/BF01840357>) algorithm is a very efficient method to perform Voronoi tessellation and Delaunay triangulation. This package is a port of the original code published in the early 1990's by Steven Fortune.
License: GPL-3
URL: https://github.com/emmanuelparadis/voronoifortune
BugReports: https://github.com/emmanuelparadis/voronoifortune/issues
NeedsCompilation: yes
Packaged: 2025-01-07 17:22:52 UTC; paradis
Author: Emmanuel Paradis [aut, cre, cph] , Steven Fortune [aut, ctb], Plan 9 Foundation [cph]
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>
Repository: CRAN
Date/Publication: 2025-01-08 15:00:01 UTC

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New package shinybody with initial version 0.1.3
Package: shinybody
Title: An Interactive Anatomography Widget for 'shiny'
Version: 0.1.3
Description: An 'htmlwidget' of the human body that allows you to hide/show and assign colors to 79 different body parts. The 'human' widget is an 'htmlwidget', so it works in Quarto documents, R Markdown documents, or any other HTML medium. It also functions as an input/output widget in a 'shiny' app.
URL: https://github.com/robert-norberg/shinybody
BugReports: https://github.com/robert-norberg/shinybody/issues
Imports: htmlwidgets (>= 0.8), htmltools, crosstalk
Suggests: knitr, rmarkdown, shiny
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-23 15:55:57 UTC; 4478023
Author: Robert Norberg [aut, cre], Sebastian Zapata-Tamayo [aut, ctb], Mehrun Huda [aut, ctb] , Moffitt Cancer Center [cph]
Maintainer: Robert Norberg <Robert.Norberg@moffitt.org>
Repository: CRAN
Date/Publication: 2025-01-08 14:40:02 UTC

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New package epiparameter with initial version 0.4.0
Package: epiparameter
Title: Classes and Helper Functions for Working with Epidemiological Parameters
Version: 0.4.0
Description: Classes and helper functions for loading, extracting, converting, manipulating, plotting and aggregating epidemiological parameters for infectious diseases. Epidemiological parameters extracted from the literature are loaded from the 'epiparameterDB' R package.
License: MIT + file LICENSE
URL: https://github.com/epiverse-trace/epiparameter/, https://epiverse-trace.github.io/epiparameter/
BugReports: https://github.com/epiverse-trace/epiparameter/issues
Depends: R (>= 4.1.0)
Imports: cachem, checkmate, cli, distcrete, distributional, epiparameterDB, graphics, lifecycle, pillar, rlang, stats, tools, utils
Suggests: bookdown, DT, ggplot2, knitr, RColorBrewer, rmarkdown, spelling, testthat (>= 3.0.0), vdiffr (>= 1.0.7), visNetwork
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-07 16:58:31 UTC; lshjl15
Author: Joshua W. Lambert [aut, cre, cph] , Adam Kucharski [aut, cph] , Carmen Tamayo [aut] , Hugo Gruson [ctb, rev] , Sebastian Funk [ctb] , Pratik Gupte [rev] , James M. Azam [rev] , Chris Hartgerink [rev] , Tim Taylor [rev]
Maintainer: Joshua W. Lambert <joshua.lambert@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2025-01-08 14:50:09 UTC

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New package archeofrag.gui with initial version 0.1.0
Package: archeofrag.gui
Title: Spatial Analysis in Archaeology from Refitting Fragments (GUI)
Version: 0.1.0
Date: 2024-12-18
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>
Description: A 'Shiny' application to access the functionalities and datasets of the 'archeofrag' package for spatial analysis in archaeology from refitting data. Quick and seamless exploration of archaeological refitting datasets. Features include: exclusive focus on connection relationships (i.e. physical refits), built-in documentation and convenient workflow, plot generation and export, R code generation to re-execute the simulations in R and ensure reproducibility, support for parallel computing to speed up computation. A demonstration version of the app is available at <https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/>.
License: GPL-3
Repository: CRAN
Encoding: UTF-8
Imports: archeofrag, dendextend, doParallel, DT, foreach, ggplot2, grDevices, igraph, shiny, shinythemes,
Suggests: RBGL,
URL: https://github.com/sebastien-plutniak/archeofrag.gui
BugReports: https://github.com/sebastien-plutniak/archeofrag.gui/issues
NeedsCompilation: no
Packaged: 2024-12-18 23:07:18 UTC; seb
Date/Publication: 2025-01-08 14:50:14 UTC

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New package spqdep with initial version 0.1.3.5
Package: spqdep
Title: Testing for Spatial Independence of Cross-Sectional Qualitative Data
Version: 0.1.3.5
Date: 2024-12-17
Description: Testing for Spatial Dependence of Qualitative Data in Cross Section. The list of functions includes join-count tests, Q test, spatial scan test, similarity test and spatial runs test. The methodology of these models can be found in <doi:10.1007/s10109-009-0100-1> and <doi:10.1080/13658816.2011.586327>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://f8l5h9.github.io/spqdep/
LazyData: true
VignetteBuilder: knitr
Imports: broom, dplyr, ggplot2, gt, gtools, igraph, Matrix, methods, purrr, rsample, sf, sp, spatialreg, spdep, stats, tidyr
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
BugReports: https://github.com/f8l5h9/spqdep/issues
NeedsCompilation: no
Packaged: 2024-12-18 10:30:18 UTC; fernandoair
Author: Fernando Lopez [aut, cre] , Roman Minguez [aut] , Antonio Paez [aut] , Manuel Ruiz [aut]
Maintainer: Fernando Lopez <fernando.lopez@upct.es>
Repository: CRAN
Date/Publication: 2025-01-08 09:00:02 UTC

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Tue, 07 Jan 2025

New package WIPF with initial version 0.1.0-1
Package: WIPF
Title: Weighted Iterative Proportional Fitting
Version: 0.1.0-1
Description: Implementation of the weighted iterative proportional fitting (WIPF) procedure for updating/adjusting a N-dimensional array (currently N<=3) given a weight structure and some target marginals. Acknowledgements: The author wish to thank Ministerio de Ciencia, Innovación y Universidades (grant PID2021-128228NB-I00) and Fundación Mapfre (grant 'Modelización espacial e intra-anual de la mortalidad en España. Una herramienta automática para el cálculo de productos de vida') for supporting this research.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-07 14:22:04 UTC; pavia
Author: Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2025-01-07 16:30:05 UTC

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New package utf8ify with initial version 0.1.0
Package: utf8ify
Title: Format Text Using Unicode
Version: 0.1.0
Description: Format text (bold, italic, ...) and numbers using UTF-8. Offers functions to search for emojis and include them in your text.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/rolkra/utf8ify
Depends: R (>= 4.1.0)
Imports:
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-07 15:05:48 UTC; rolkra
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-07 16:50:06 UTC

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New package DNNSIM with initial version 0.1.1
Package: DNNSIM
Title: Single-Index Neural Network for Skewed Heavy-Tailed Data
Version: 0.1.1
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>
Description: Provides a deep neural network model with a monotonic increasing single index function tailored for periodontal disease studies. The residuals are assumed to follow a skewed T distribution, a skewed normal distribution, or a normal distribution. More details can be found at Liu, Huang, and Bai (2024) <doi:10.1016/j.csda.2024.108012>.
License: GPL (>= 3)
Encoding: UTF-8
SystemRequirements: Python (>= 3.8.0); PyTorch (https://pytorch.org/); NumPy (https://numpy.org/); SciPy (https://scipy.org/); sklearn (https://scikit-learn.org/stable/);
Imports: reticulate (>= 1.37.0), stats (>= 4.3.0), Rdpack (>= 2.6)
NeedsCompilation: no
Packaged: 2025-01-07 04:07:56 UTC; Kevin_Liu
Author: Qingyang Liu [aut, cre] , Shijie Wang [aut], Ray Bai [aut] , Dipankar Bandyopadhyay [aut]
Repository: CRAN
Date/Publication: 2025-01-07 16:50:13 UTC

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New package creepyalien with initial version 1.0.0
Package: creepyalien
Title: Puzzle Game for the R Console
Version: 1.0.0
Description: Puzzle game that can be played in the R console. Help the alien to find the ship.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/rolkra/creepyalien
Imports: beepr, cli, glue, stats
NeedsCompilation: no
Packaged: 2025-01-07 14:02:19 UTC; rolkra
Author: Roland Krasser [aut, cre], Peter Prevos [aut]
Maintainer: Roland Krasser <roland.krasser@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-07 16:30:01 UTC

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New package Certara.RsNLME.ModelExecutor with initial version 3.0.1
Package: Certara.RsNLME.ModelExecutor
Title: Execute Pharmacometric Models Using 'shiny'
Version: 3.0.1
Description: Execute Nonlinear Mixed Effects (NLME) models for pharmacometrics using a 'shiny' interface. Specify engine parameters and select from different run options, including simple estimation, stepwise covariate search, bootstrapping, simulation, visual predictive check, and more. Models are executed using the 'Certara.RsNLME' package.
Depends: R (>= 4.0)
License: LGPL-3
URL: https://certara.github.io/R-RsNLME-model-executor/
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: Certara.RsNLME, Certara.NLME8, shinyAce, shinymeta, bslib (>= 0.7.0), htmltools, magrittr, dplyr, shiny (>= 1.7.4), shinyFiles, shinyjs, shinyWidgets, stringr, tools, fs, ggplot2, future, promises, reshape, jsonlite, DT
NeedsCompilation: no
Packaged: 2025-01-06 21:35:16 UTC; jcraig
Author: James Craig [aut, cre], Mike Talley [aut], Vitalii Nazarov [aut], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2025-01-07 16:40:01 UTC

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New package cpp11bigwig with initial version 0.1.0
Package: cpp11bigwig
Title: Read bigWig and bigBed Files
Version: 0.1.0
Description: Read bigWig and bigBed files using "libBigWig" <https://github.com/dpryan79/libBigWig>. Provides lightweight access to the binary bigWig and bigBed formats developed by the UCSC Genome Browser group.
License: MIT + file LICENSE
URL: https://rnabioco.github.io/cpp11bigwig/, https://github.com/rnabioco/cpp11bigwig
BugReports: https://github.com/rnabioco/cpp11bigwig/issues
Imports: GenomicRanges, IRanges, tibble
Suggests: testthat (>= 3.0.0)
LinkingTo: cpp11
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-01-07 13:44:13 UTC; jayhesselberth
Author: Jay Hesselberth [aut, cre], RNA Bioscience Initiative [fnd, cph], Devon Ryan [cph]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-07 14:50:02 UTC

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New package ritalic with initial version 0.10.1
Package: ritalic
Title: Interface to the ITALIC Database of Lichen Biodiversity
Version: 0.10.1
Maintainer: Matteo Conti <matt.ciao@gmail.com>
Description: A programmatic interface to the Web Service methods provided by ITALIC (<https://italic.units.it>). ITALIC is a database of lichen data in Italy and bordering European countries. 'ritalic' includes functions for retrieving information about lichen scientific names, geographic distribution, ecological data, morpho-functional traits and identification keys. More information about the data is available at <https://italic.units.it/?procedure=base&t=59&c=60>. The API documentation is available at <https://italic.units.it/?procedure=api>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/plant-data/ritalic
BugReports: https://github.com/plant-data/ritalic/issues
Depends: R (>= 3.5.3)
Imports: httr, jsonlite, utils
NeedsCompilation: no
Packaged: 2024-12-19 10:36:37 UTC; matteoconti
Author: Matteo Conti [aut, cre] , Luana Francesconi [aut], Alice Musina [aut]
Repository: CRAN
Date/Publication: 2025-01-07 14:00:02 UTC

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New package MuPETFlow with initial version 0.1.0
Package: MuPETFlow
Title: Multiple Ploidy Estimation Tool for all Species Compatible with Flow Cytometry
Version: 0.1.0
Description: A graphical user interface tool to estimate ploidy from DNA cells stained with fluorescent dyes and analyzed by flow cytometry, following the methodology of Gómez-Muñoz and Fischer (2024) <doi:10.1101/2024.01.24.577056>. Features include multiple file uploading and configuration, peak fluorescence intensity detection, histogram visualizations, peak error curation, ploidy and genome size calculations, and easy results export.
License: GPL (>= 3)
Encoding: UTF-8
Date/Publication: 2025-01-07 14:00:11 UTC
Imports: BiocManager, dplyr, DT, flowCore, ggplot2, ggrepel, gridExtra, markdown, shiny, shinythemes, tidyr, zoo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-23 11:17:37 UTC; cintia
Author: Cintia Gomez-Munoz [aut, cre] , Gilles Fischer [aut]
Maintainer: Cintia Gomez-Munoz <cintia.gomez_munoz@sorbonne-universite.fr>
Repository: CRAN

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Mon, 23 Dec 2024

New package sigugr with initial version 1.0.0
Package: sigugr
Title: Workflow for Geographic Data
Version: 1.0.0
Description: Streamlines geographic data transformation, storage and publication, simplifying data preparation and enhancing interoperability across formats and platforms.
License: MIT + file LICENSE
URL: https://josesamos.github.io/sigugr/, https://github.com/josesamos/sigugr
BugReports: https://github.com/josesamos/sigugr/issues
Depends: R (>= 2.10)
Imports: clc, gdalUtilities, httr, jsonlite, rpostgis, sf, snakecase, terra
Suggests: httptest2, knitr, mockery, purrr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2024-12-20 13:13:21 UTC; jsamos
Author: Jose Samos [aut, cre] , Universidad de Granada [cph]
Maintainer: Jose Samos <jsamos@ugr.es>
Repository: CRAN
Date/Publication: 2024-12-23 11:20:01 UTC

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New package itmsa with initial version 0.1.0
Package: itmsa
Title: Information-Theoretic Measures for Spatial Association
Version: 0.1.0
Description: Leveraging information-theoretic measures like mutual information and v-measure to quantify spatial associations between patterns (Nowosad and Stepinski (2018) <doi:10.1080/13658816.2018.1511794>; Bai, H. et al. (2023) <doi:10.1080/24694452.2023.2223700>).
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/itmsa/, https://github.com/stscl/itmsa
BugReports: https://github.com/stscl/itmsa/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Imports: dplyr, purrr, sdsfun (>= 0.6.0), sf
Suggests: knitr, Rcpp, RcppThread, readr, rmarkdown, tibble
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-22 14:12:03 UTC; dell
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-23 11:30:01 UTC

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New package ForestElementsR with initial version 2.0.1
Package: ForestElementsR
Title: Data Structures and Functions for Working with Forest Data
Version: 2.0.1
Date: 2024-12-20
Description: Provides generic data structures and algorithms for use with forest mensuration data in a consistent framework. The functions and objects included are a collection of broadly applicable tools. More specialized applications should be implemented in separate packages that build on this foundation. Documentation about 'ForestElementsR' is provided by three vignettes included in this package. For an introduction to the field of forest mensuration, refer to the textbooks by Kershaw et al. (2017) <doi:10.1002/9781118902028>, and van Laar and Akca (2007) <doi:10.1007/978-1-4020-5991-9>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: magrittr, ggplot2, tibble, dplyr, purrr, rlang, Rdpack, tidyr, vctrs, stringr, tidyselect (>= 1.2.0), doBy
Depends: R (>= 4.3), sf
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-20 21:06:25 UTC; peter
Author: Peter Biber [aut, cre, cph] , Astor Torano Caicoya [aut] , Torben Hilmers [ctb]
Maintainer: Peter Biber <p.biber@tum.de>
Repository: CRAN
Date/Publication: 2024-12-23 11:10:07 UTC

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New package dataset with initial version 0.3.4
Package: dataset
Title: Create Data Frames that are Easier to Exchange and Reuse
Version: 0.3.4
Date: 2024-12-20
Language: en-US
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>
Description: The aim of the 'dataset' package is to make tidy datasets easier to release, exchange and reuse. It organizes and formats data frame 'R' objects into well-referenced, well-described, interoperable datasets into release and reuse ready form.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://dataset.dataobservatory.eu/
BugReports: https://github.com/dataobservatory-eu/dataset/issues/
LazyData: true
Imports: assertthat, cli, haven, ISOcodes, labelled, methods, pillar, rlang, tibble, utils, vctrs (>= 0.5.2)
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-20 19:39:04 UTC; antal
Author: Daniel Antal [aut, cre] , Marcelo Perlin [rev]
Repository: CRAN
Date/Publication: 2024-12-23 11:10:02 UTC

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New package TwoTimeScales with initial version 1.0.0
Package: TwoTimeScales
Title: Analysis of Event Data with Two Time Scales
Version: 1.0.0
URL: https://github.com/AngelaCar/TwoTimeScales, https://angelacar.github.io/TwoTimeScales/
Description: Analyse time to event data with two time scales by estimating a smooth hazard that varies over two time scales and also, if covariates are available, to estimate a proportional hazards model with such a two-dimensional baseline hazard. Functions are provided to prepare the raw data for estimation, to estimate and to plot the two-dimensional smooth hazard. Extension to a competing risks model are implemented. For details about the method please refer to Carollo et al. (2024) <doi:10.1002/sim.10297>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: colorspace, Epi, fields, JOPS, LMMsolver, popEpi, reshape2, spam, ucminf, viridis
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
BugReports: https://github.com/AngelaCar/TwoTimeScales/issues
NeedsCompilation: no
Packaged: 2024-12-20 08:58:34 UTC; Carollo
Author: Angela Carollo [aut, cre, cph] , Paul H.C. Eilers [aut], Jutta Gampe [aut]
Maintainer: Angela Carollo <carollo@demogr.mpg.de>
Repository: CRAN
Date/Publication: 2024-12-23 10:50:10 UTC

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New package metalite.sl with initial version 0.1.0
Package: metalite.sl
Title: Subject-Level Analysis Using 'metalite'
Version: 0.1.0
Description: Analyzes subject-level data in clinical trials using the 'metalite' data structure. The package simplifies the workflow to create production-ready tables, listings, and figures discussed in the subject-level analysis chapters of "R for Clinical Study Reports and Submission" by Zhang et al. (2022) <https://r4csr.org/>.
Depends: R (>= 4.1.0)
License: GPL (>= 3)
Imports: glue, metalite, metalite.ae, forestly, r2rtf, reactable, stringr, rlang, plotly, htmltools, brew, uuid
Suggests: dplyr, knitr, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-20 05:05:16 UTC; fukuhiro
Author: Benjamin Wang [aut, cre], Yujie Zhao [aut], Hiroaki Fukuda [aut], PoYao Niu [aut], Nan Xiao [aut], Jeetener Chauhan [ctb], Li Ma [ctb], Chen Wang [ctb], Merck Sharp & Dohme Corp [cph]
Maintainer: Benjamin Wang <benjamin.wang@merck.com>
Repository: CRAN
Date/Publication: 2024-12-23 10:50:01 UTC

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New package HSAR with initial version 0.6.0
Package: HSAR
Title: Hierarchical Spatial Autoregressive Model
Version: 0.6.0
Description: A Hierarchical Spatial Autoregressive Model (HSAR), based on a Bayesian Markov Chain Monte Carlo (MCMC) algorithm (Dong and Harris (2014) <doi:10.1111/gean.12049>). The creation of this package was supported by the Economic and Social Research Council (ESRC) through the Applied Quantitative Methods Network: Phase II, grant number ES/K006460/1.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://spatlyu.github.io/HSAR/, https://github.com/spatlyu/HSAR
BugReports: https://github.com/spatlyu/HSAR/issues
Depends: R (>= 3.5)
Imports: spdep, spatialreg, stats
Suggests: knitr, Matrix, RColorBrewer, Rcpp, RcppArmadillo, rmarkdown, sdsfun, sf, tidyverse
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-12-20 02:26:53 UTC; dell
Author: Guanpeng Dong [aut, cph] , Wenbo Lv [aut, cre] , Richard Harris [aut], Angelos Mimis [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-23 10:30:02 UTC

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New package hdthreshold with initial version 1.0.0
Package: hdthreshold
Title: Inference on Many Jumps in Nonparametric Panel Regression Models
Version: 1.0.0
Description: Provides uniform testing procedures for existence and heterogeneity of threshold effects in high-dimensional nonparametric panel regression models. The package accompanies the paper Chen, Keilbar, Su and Wang (2023) "Inference on many jumps in nonparametric panel regression models". arXiv preprint <doi:10.48550/arXiv.2312.01162>.
Imports: fdrtool, KernSmooth, rdrobust, stats
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-20 16:39:58 UTC; georg
Author: Georg Keilbar [aut, cre, cph], Likai Chen [ctb], Liangjun Su [ctb], Weining Wang [ctb]
Maintainer: Georg Keilbar <georg.keilbar@hu-berlin.de>
Repository: CRAN
Date/Publication: 2024-12-23 10:50:06 UTC

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Sun, 22 Dec 2024

New package CopernicusMarine with initial version 0.2.4
Package: CopernicusMarine
Title: Search Download and Handle Data from Copernicus Marine Service Information
Version: 0.2.4
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Depends: R (>= 4.1.0)
Imports: crayon, dplyr, httr2, leaflet, purrr, rlang, sf, stringr, tidyr, utils, xml2
Suggests: lifecycle, ncmeta, stars, testthat (>= 3.0.0)
URL: https://github.com/pepijn-devries/CopernicusMarine, https://pepijn-devries.github.io/CopernicusMarine/
BugReports: https://github.com/pepijn-devries/CopernicusMarine/issues
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-22 18:29:20 UTC; vries171
Repository: CRAN
Date/Publication: 2024-12-22 23:20:02 UTC

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Fri, 20 Dec 2024

New package desk with initial version 1.1.2
Package: desk
Title: Didactic Econometrics Starter Kit
Version: 1.1.2
Description: Written to help undergraduate as well as graduate students to get started with R for basic econometrics without the need to import specific functions and datasets from many different sources. Primarily, the package is meant to accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2024, ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from the textbook Auer, L.v. (2023, ISBN: 978-3-658-42699-6).
URL: https://github.com/OvGU-SH/desk
BugReports: https://github.com/OvGU-SH/desk/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: cli, rstudioapi, stats, graphics, grDevices, utils
Suggests: wooldridge
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-12-20 10:11:07 UTC; Name
Author: Soenke Hoffmann [cre, aut], Tobias Kranz [aut]
Maintainer: Soenke Hoffmann <sohoffma@ovgu.de>
Repository: CRAN
Date/Publication: 2024-12-20 12:40:06 UTC

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New package sTSD with initial version 0.1.0
Package: sTSD
Title: Simulate Time Series Diagnostics
Version: 0.1.0
Maintainer: Steven Miller <steve@svmiller.com>
Description: These are tools that allow users to do time series diagnostics, primarily tests of unit root, by way of simulation. While there is nothing necessarily wrong with the received wisdom of critical values generated decades ago, simulation provides its own perks. Not only is simulation broadly informative as to what these various test statistics do and what are their plausible values, simulation provides more flexibility for assessing unit root by way of different thresholds or different hypothesized distributions.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
NeedsCompilation: no
Packaged: 2024-12-19 13:45:13 UTC; steve
Author: Steven Miller [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-20 10:40:02 UTC

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New package multvardiv with initial version 1.0.10
Package: multvardiv
Title: Multivariate Probability Distributions, Statistical Divergence
Version: 1.0.10
Maintainer: Pierre Santagostini <pierre.santagostini@institut-agro.fr>
Description: Multivariate generalized Gaussian distribution, Multivariate Cauchy distribution, Multivariate t distribution. Distance between two distributions (see N. Bouhlel and A. Dziri (2019): <doi:10.1109/LSP.2019.2915000>, N. Bouhlel and D. Rousseau (2022): <doi:10.3390/e24060838>, N. Bouhlel and D. Rousseau (2023): <doi:10.1109/LSP.2023.3324594>). Manipulation of these multivariate probability distributions.
Depends: R (>= 4.4.0)
Imports: rgl, MASS, data.table
License: GPL (>= 3)
URL: https://forgemia.inra.fr/imhorphen/multvardiv
BugReports: https://forgemia.inra.fr/imhorphen/multvardiv/-/issues
Encoding: UTF-8
Suggests: testthat (>= 3.2.1)
NeedsCompilation: no
Packaged: 2024-12-19 16:27:32 UTC; psantagosti
Author: Pierre Santagostini [aut, cre], Nizar Bouhlel [aut]
Repository: CRAN
Date/Publication: 2024-12-20 11:00:02 UTC

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New package ggtaxplot with initial version 0.0.1
Package: ggtaxplot
Title: Create Plots to Visualize Taxonomy
Version: 0.0.1
Maintainer: Clement Coclet <clement.coclet@gmail.com>
Description: Provides a comprehensive suite of functions for processing and visualizing taxonomic data. It includes functionality to clean and transform taxonomic data, categorize it into hierarchical ranks (such as Phylum, Class, Order, Family, and Genus), and calculate the relative abundance of each category. The package also generates a color palette for visual representation of the taxonomic data, allowing users to easily identify and differentiate between various taxonomic groups. Additionally, it features a river plot visualization to effectively display the distribution of individuals across different taxonomic ranks, facilitating insights into taxonomic visualization.
License: GPL-3
Imports: ggplot2, dplyr, tidyr, tidyverse, scales, RColorBrewer, cluster, vegan, ggalluvial, magrittr, rlang
Suggests: knitr, rmarkdown, testthat, devtools
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-19 17:39:58 UTC; ccoclet
Author: Clement Coclet [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-20 11:00:06 UTC

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New package ciphertext with initial version 0.1.0
Package: ciphertext
Title: Classical Cryptography Methods for Words and Phrases
Version: 0.1.0
Description: Classical cryptography methods for words and brief phrases. Substitution, transposition and concealment (null) ciphers are available, like Caesar, Vigenère, Atbash, affine, simple substitution, Playfair, rail fence, Scytale, single column, and Polybius ciphers.
License: GPL-3
URL: https://github.com/Luigi-Annic/ciphertext
BugReports: https://github.com/Luigi-Annic/ciphertext/issues
Encoding: UTF-8
Depends: R (>= 4.3.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-19 14:37:44 UTC; luigi
Author: Luigi Annicchiarico [cre, aut]
Maintainer: Luigi Annicchiarico <luigi.annic@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-20 10:40:05 UTC

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New package Certara.RsNLME.ModelBuilder with initial version 3.0.1
Package: Certara.RsNLME.ModelBuilder
Title: Pharmacometric Model Building Using 'shiny'
Version: 3.0.1
Description: Develop Nonlinear Mixed Effects (NLME) models for pharmacometrics using a 'shiny' interface. The Pharmacometric Modeling Language (PML) code updates in real time given changes to user inputs. Models can be executed using the 'Certara.RsNLME' package. Additional support to generate the underlying 'Certara.RsNLME' code to recreate the corresponding model in R is provided in the user interface.
Depends: R (>= 4.0)
License: LGPL-3
URL: https://certara.github.io/R-RsNLME-model-builder/
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: Certara.RsNLME, shinymeta, shinyAce, bslib (>= 0.7.0), data.table, DT, ggplot2, ggforce, htmltools, htmlwidgets, magrittr, methods, shiny (>= 1.7.0), shinyjs, shinyWidgets, tools, utils, fs
NeedsCompilation: no
Packaged: 2024-12-19 17:16:42 UTC; jcraig
Author: James Craig [aut, cre], Mike Talley [aut], Shuhua Hu [ctb], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2024-12-20 11:00:10 UTC

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New package bruneimap with initial version 0.3.1
Package: bruneimap
Title: Maps and Spatial Data of Brunei
Version: 0.3.1
Description: Provides spatial data for mapping Brunei, including boundaries for districts, mukims, and kampongs, as well as locations of key infrastructure such as masjids, hospitals, clinics, and schools. The package supports researchers, analysts, and developers working with Brunei’s geographic and demographic data, offering a quick and accessible foundation for creating maps and conducting spatial studies.
License: GPL (>= 3)
URL: https://github.com/Bruneiverse/bruneimap, https://bruneiverse.github.io/bruneimap/
BugReports: https://github.com/Bruneiverse/bruneimap/issues
Depends: R (>= 3.5), sf
Suggests: ggplot2, knitr, rmarkdown, tidyverse
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
Imports: dplyr, lifecycle
NeedsCompilation: no
Packaged: 2024-12-19 12:57:23 UTC; haziqj
Author: Haziq Jamil [aut, cre, cph] , Hafeezul Raziq [ctb], Alvin Bong [ctb], Aniq Najwa Ariffin [ctb], Danish Ikhwan Mohamad Zainin [ctb], Muhammad Rayme Hijazi Jassrie [ctb], Angela Chan [ctb], Irdina Batrisyia Norharddyman [ctb], Nursyafiqah Mohammad Yusu [...truncated...]
Maintainer: Haziq Jamil <haziq.jamil@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-20 10:40:09 UTC

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New package backtestGraphics with initial version 0.1.7
Package: backtestGraphics
Title: Interactive Graphics for Portfolio Data
Description: Creates an interactive graphics interface to visualize backtest results of different financial instruments, such as equities, futures, and credit default swaps. The package does not run backtests on the given data set but displays a graphical explanation of the backtest results. Users can look at backtest graphics for different instruments, investment strategies, and portfolios. Summary statistics of different portfolio holdings are shown in the left panel, and interactive plots of profit and loss (P\&L), net market value (NMV) and gross market value (GMV) are displayed in the right panel.
Version: 0.1.7
Date: 2024-12-18
License: GPL-3
LazyData: true
Depends: R (>= 3.5.0)
Imports: dygraphs, dplyr, scales, xts, shiny
Suggests: testthat
NeedsCompilation: no
Packaged: 2024-12-19 01:48:25 UTC; milz
Repository: CRAN
Date/Publication: 2024-12-20 10:30:02 UTC
Encoding: UTF-8
Author: Yanrong Song [aut, cre], Zijie Zhu [aut], David Kane [aut], Ziqi Lu [aut], Karan Tibrewal [aut], Fan Zhang [aut]
Maintainer: Yanrong Song <yrsong129@gmail.com>

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Thu, 19 Dec 2024

New package subincomeR with initial version 0.2.2
Package: subincomeR
Title: Access to Global Sub-National Income Data
Version: 0.2.2
Description: Provides access to granular sub-national income data from the MCC-PIK Database Of Sub-national Economic Output (DOSE). The package downloads and processes the data from its open repository on 'Zenodo' (<https://zenodo.org/records/13773040>). Functions are provided to fetch data at multiple geographic levels, match coordinates to administrative regions, and access associated geometries.
License: MIT + file LICENSE
URL: https://github.com/pablogguz/subincomeR, https://pablogguz.github.io/subincomeR/
BugReports: https://github.com/pablogguz/subincomeR/issues
Imports: countrycode, curl, dplyr, rlang, sf, tidygeocoder, utils, zip
Suggests: extrafont, fixest, ggplot2, ggtext, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-18 19:16:07 UTC; pablo
Author: Pablo Garcia Guzman [aut, cre, cph]
Maintainer: Pablo Garcia Guzman <garciagp@ebrd.com>
Repository: CRAN
Date/Publication: 2024-12-19 20:40:02 UTC

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New package RGS with initial version 1.0
Package: RGS
Title: Recursive Gradient Scanning Algorithm
Version: 1.0
Description: Provides a recursive gradient scanning algorithm for discretizing continuous variables in Logistic and Cox regression models. This algorithm is especially effective in identifying optimal cut-points for variables with U-shaped relationships to 'lnOR' (the natural logarithm of the odds ratio) or 'lnHR' (the natural logarithm of the hazard ratio), thereby enhancing model fit, interpretability, and predictive power. By iteratively scanning and calculating gradient changes, the method accurately pinpoints critical cut-points within nonlinear relationships, transforming continuous variables into categorical ones. This approach improves risk classification and regression analysis performance, increasing interpretability and practical relevance in clinical and risk management settings.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rms, SemiPar, survival
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-19 00:44:14 UTC; 14715
Author: Shuo Yang [aut, cre], Yi Fei [aut], Jinxin Zhang [ths]
Maintainer: Shuo Yang <yangsh223@mail2.sysu.edu.cn>
Repository: CRAN
Date/Publication: 2024-12-19 20:50:02 UTC

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New package fmpapi with initial version 0.2.0
Package: fmpapi
Title: Flexible Client for the 'Financial Modeling Prep' API
Version: 0.2.0
Description: Provides a flexible interface to the 'Financial Modeling Prep' API <https://site.financialmodelingprep.com/developer/docs>. The package supports all available endpoints and parameters, enabling R users to interact with a wide range of financial data.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: httr2 (>= 1.0.0), dplyr (>= 1.0.0), cli (>= 1.0.0)
Suggests: spelling, testthat (>= 3.0.0)
URL: https://github.com/tidy-finance/r-fmpapi, https://tidy-finance.github.io/r-fmpapi/
BugReports: https://github.com/tidy-finance/r-fmpapi/issues
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-18 18:37:47 UTC; krise
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2024-12-19 20:40:05 UTC

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New package creditr with initial version 0.6.2
Package: creditr
Version: 0.6.2
Date: 2024-12-15
Title: Credit Default Swaps
Depends: R (>= 3.1.0)
Imports: utils, quantmod, devtools, methods, Rcpp (>= 0.10.6), RCurl, XML, zoo, xts
LinkingTo: Rcpp
Suggests: testthat
License: file LICENSE
URL: https://github.com/yanrong-stacy-song/creditr
Description: Price credit default swaps using 'C' code from the International Swaps and Derivatives Association CDS Standard Model. See <https://www.cdsmodel.com/cdsmodel/documentation.html> for more information about the model and <https://www.cdsmodel.com/cdsmodel/cds-disclaimer.html> for license details for the 'C' code.
LazyData: true
Repository: CRAN
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-12-19 03:11:31 UTC; milz
Author: Yanrong Song [aut, cre], Zijie Zhu [aut], David Kane [aut], Heidi Chen [aut], Yuanchu Dang [aut], Yang Lu [aut], Kanishka Malik [aut], Skylar Smith [aut], International Swaps and Derivatives Association [cph]
Maintainer: Yanrong Song <yrsong129@gmail.com>
Date/Publication: 2024-12-19 21:00:02 UTC

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New package cpp11qpdf with initial version 1.3.5
Package: cpp11qpdf
Title: Split, Combine and Compress PDF Files
Version: 1.3.5
Description: Bindings to 'qpdf': 'qpdf' (<https://qpdf.sourceforge.io/>) is a an open-source PDF rendering library that allows to conduct content-preserving transformations of PDF files such as split, combine, and compress PDF files.
License: Apache License (>= 2)
URL: https://pacha.dev/cpp11qpdf/
BugReports: https://github.com/pachadotdev/cpp11qpdf/issues
SystemRequirements: libjpeg ( deb: libjpeg-dev, rpm: libjpeg-devel, brew: libjpeg )
Imports: curl
LinkingTo: cpp11
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-18 19:37:59 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Jeroen Ooms [aut] , Ben Raymond [ctb], Jay Berkenbilt [cph] , Munk School of Global Affairs and Public Policy [fnd]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-12-19 20:40:09 UTC

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New package bivariateLeaflet with initial version 0.1.0
Package: bivariateLeaflet
Title: Create Bivariate Choropleth Maps with 'Leaflet'
Version: 0.1.0
Description: Creates bivariate choropleth maps using 'Leaflet'. This package provides tools for visualizing the relationship between two variables through a color matrix representation on an interactive map.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: leaflet, dplyr, htmltools, rlang, sf
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, tidycensus, tidyr
VignetteBuilder: knitr
Depends: R (>= 3.50)
NeedsCompilation: no
Packaged: 2024-12-18 18:50:51 UTC; mduprey
Author: Michael Duprey [aut, cre], Chris Inkpen [ctb]
Maintainer: Michael Duprey <mduprey@rti.org>
Repository: CRAN
Date/Publication: 2024-12-19 20:40:13 UTC

More information about bivariateLeaflet at CRAN
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New package ZIM4rv with initial version 0.1.1
Package: ZIM4rv
Title: Gene‐based Association Tests of Zero‐inflated Count Phenotype for Rare Variants
Version: 0.1.1
Maintainer: Xiaomin Liu <e0717571@u.nus.edu>
Description: Gene‐based association tests to model count data with excessive zeros and rare variants using zero-inflated Poisson/zero-inflated negative Binomial regression framework. This method was originally described by Fan, Sun, and Li in Genetic Epidemiology 46(1):73-86 <doi:10.1002/gepi.22438>.
License: GPL-3
URL: https://github.com/fanx0037/ZIM4rv
Encoding: UTF-8
LazyData: true
Depends: data.table, pscl, CompQuadForm, stats, SKAT, RNOmni, R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
BugReports: https://github.com/fanx0037/ZIM4rv/issues
NeedsCompilation: no
Packaged: 2024-12-18 13:34:34 UTC; liuxiaomin
Author: Xiaomin Liu [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-19 16:10:07 UTC

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New package capesR with initial version 0.1.0
Package: capesR
Title: Access to CAPES Data
Version: 0.1.0
Date: 2024-12-17
Description: Provides simplified access to the data from the Catalog of Theses and Dissertations of the Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES, <https://catalogodeteses.capes.gov.br>) for the years 1987 through 2022. The dataset includes variables such as Higher Education Institution (institution), Area of Concentration (area), Graduate Program Name (program_name), Type of Work (type), Language of Work (language), Author Identification (author), Abstract (abstract), Advisor Identification (advisor), Development Region (region), State (state).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: arrow, dplyr, magrittr, rlang, stringr, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: <https://github.com/hugoavmedeiros/capesR>
NeedsCompilation: no
Packaged: 2024-12-18 16:37:22 UTC; leite
Author: Hugo Vasconcelos Medeiros [aut, cre], Dalson Figueiredo Filho [aut], Andre Leite [aut]
Maintainer: Hugo Vasconcelos Medeiros <hugo.medeiros@ufpe.br>
Repository: CRAN
Date/Publication: 2024-12-19 16:20:02 UTC

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New package sae.projection with initial version 0.1.0
Package: sae.projection
Title: Small Area Estimation Using Model-Assisted Projection Method
Version: 0.1.0
Description: Combines information from two independent surveys using a model-assisted projection method. Designed for survey sampling scenarios where a large sample collects only auxiliary information (Survey 1) and a smaller sample provides data on both variables of interest and auxiliary variables (Survey 2). Implements a working model to generate synthetic values of the variable of interest by fitting the model to Survey 2 data and predicting values for Survey 1 based on its auxiliary variables (Kim & Rao, 2012) <doi:10.1093/biomet/asr063>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/Alfrzlp/sae.projection
BugReports: https://github.com/Alfrzlp/sae.projection/issues
Imports: cli, doParallel, dplyr, methods, parsnip, recipes, rlang, rsample, stats, survey, tune, workflows, yardstick, bonsai, ranger, lightgbm
Depends: R (>= 4.3.0), tidymodels
NeedsCompilation: no
Packaged: 2024-12-18 08:10:00 UTC; alfrz
Author: Ridson Al Farizal P [aut, cre, cph] , Azka Ubaidillah [aut]
Maintainer: Ridson Al Farizal P <ridsonalfarizal15@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-19 15:40:02 UTC

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New package doParabar with initial version 1.0.2
Package: doParabar
Title: 'foreach' Parallel Adapter for 'parabar' Backends
Version: 1.0.2
Description: Provides a 'foreach' parallel adapter for 'parabar' backends. This package offers a minimal implementation of the '%dopar%' operator, enabling users to run 'foreach' loops in parallel, leveraging the parallel and progress-tracking capabilities of the 'parabar' package. Learn more about 'parabar' and 'doParabar' at <https://parabar.mihaiconstantin.com>.
License: MIT + file LICENSE
URL: https://github.com/mihaiconstantin/doParabar, https://parabar.mihaiconstantin.com/articles/foreach
BugReports: https://github.com/mihaiconstantin/doParabar/issues
Imports: parabar, foreach, iterators, utils
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-18 10:34:28 UTC; mihai
Author: Mihai Constantin [aut, cre]
Maintainer: Mihai Constantin <mihai@mihaiconstantin.com>
Repository: CRAN
Date/Publication: 2024-12-19 16:00:05 UTC

More information about doParabar at CRAN
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New package DEploid.utils with initial version 0.0.1
Package: DEploid.utils
Title: 'DEploid' Data Analysis and Results Interpretation
Version: 0.0.1
Description: 'DEploid' (Zhu et.al. 2018 <doi:10.1093/bioinformatics/btx530>) is designed for deconvoluting mixed genomes with unknown proportions. Traditional phasing programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting. This package provides R functions to support data analysis and results interpretation.
Depends: R (>= 3.1.0)
Imports: Rcpp (>= 0.11.2), scales (>= 0.4.0), magrittr (>= 1.5), combinat
Suggests: knitr, rmarkdown(>= 1.6), circlize, testthat (>= 0.9.0)
LinkingTo: Rcpp
Encoding: UTF-8
Date: 2024-11-18
License: Apache License (>= 2)
NeedsCompilation: yes
Packaged: 2024-12-18 12:02:05 UTC; rstudio
Author: Joe Zhu [aut, cre] , Jacob Almagro-Garcia [aut], Gil McVean [aut], University of Oxford [cph], Yinghan Liu [ctb], CodeCogs Zyba Ltd [com, cph], Deepak Bandyopadhyay [com, cph], Lutz Kettner [com, cph]
Maintainer: Joe Zhu <sha.joe.zhu@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-19 16:00:18 UTC

More information about DEploid.utils at CRAN
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New package Cleanet with initial version 1.0.0
Package: Cleanet
Title: Automated Doublet Detection and Classification for Cytometry Data
Version: 1.0.0
Description: Automated method for doublet detection in flow or mass cytometry data, based on simulating doublets and finding events whose protein expression patterns are similar to the simulated doublets.
Imports: Rcpp, RcppHNSW, ggplot2, dplyr, tidyr, readr, reshape2, tibble, magrittr, methods
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown, vctrs
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-18 04:51:03 UTC; matei
Author: Matei Ionita [aut, cre]
Maintainer: Matei Ionita <matei.ionita@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-19 15:30:11 UTC

More information about Cleanet at CRAN
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New package rgeoda with initial version 0.0.11-1
Package: rgeoda
Title: R Library for Spatial Data Analysis
Version: 0.0.11-1
Date: 2024-12-18
Maintainer: Xun Li <lixun910@gmail.com>
Description: Provides spatial data analysis functionalities including Exploratory Spatial Data Analysis, Spatial Cluster Detection and Clustering Analysis, Regionalization, etc. based on the C++ source code of 'GeoDa', which is an open-source software tool that serves as an introduction to spatial data analysis. The 'GeoDa' software and its documentation are available at <https://geodacenter.github.io>.
URL: https://github.com/geodacenter/rgeoda/, https://geodacenter.github.io/rgeoda/
BugReports: https://github.com/geodacenter/rgeoda/issues/
Depends: R (>= 4.0.0), methods, digest
License: GPL (>= 2)
Imports: sf, Rcpp (>= 1.0.1)
LinkingTo: Rcpp, BH (>= 1.87.0-1)
Encoding: UTF-8
Suggests: wkb, sp
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2024-12-18 17:46:04 UTC; xun
Author: Xun Li [aut, cre], Luc Anselin [aut]
Repository: CRAN
Date/Publication: 2024-12-19 08:30:02 UTC

More information about rgeoda at CRAN
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Wed, 18 Dec 2024

New package pwrFDR with initial version 3.2.2
Package: pwrFDR
Version: 3.2.2
Title: FDR Power
Imports: flextable, ggplot2, methods, mvtnorm, stats, stringr, TableMonster
Description: Computing Average and TPX Power under various BHFDR type sequential procedures. All of these procedures involve control of some summary of the distribution of the FDP, e.g. the proportion of discoveries which are false in a given experiment. The most widely known of these, the BH-FDR procedure, controls the FDR which is the mean of the FDP. A lesser known procedure, due to Lehmann and Romano, controls the FDX, or probability that the FDP exceeds a user provided threshold. This is less conservative than FWE control procedures but much more conservative than the BH-FDR proceudre. This package and the references supporting it introduce a new procedure for controlling the FDX which we call the BH-FDX procedure. This procedure iteratively identifies, given alpha and lower threshold delta, an alpha* less than alpha at which BH-FDR guarantees FDX control. This uses asymptotic approximation and is only slightly more conservative than the BH-FDR procedure. Likewise, we can think of the power i [...truncated...]
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-12-18 16:31:02 UTC; izmirlig
Author: Grant Izmirlian [aut, cre]
Maintainer: Grant Izmirlian <izmirlig@mail.nih.gov>
Repository: CRAN
Date/Publication: 2024-12-18 17:00:02 UTC

More information about pwrFDR at CRAN
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New package catalytic with initial version 0.1.0
Package: catalytic
Title: Tools for Applying Catalytic Priors in Statistical Modeling
Version: 0.1.0
Description: To improve estimation accuracy and stability in statistical modeling, catalytic prior distributions are employed, integrating observed data with synthetic data generated from a simpler model's predictive distribution. This approach enhances model robustness, stability, and flexibility in complex data scenarios. The catalytic prior distributions are introduced by 'Huang et al.' (2020, <doi:10.1073/pnas.1920913117>), Li and Huang (2023, <doi:10.48550/arXiv.2312.01411>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: coda, invgamma, rlang, rstan, stats, truncnorm, MASS, lme4, quadform, survival, methods
Depends: R (>= 3.5.0)
LazyData: true
Suggests: knitr, rmarkdown, testthat, pROC
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-17 08:57:19 UTC; rosewu
Author: Yitong Wu [aut] , Dongming Huang [aut, cre] , Weihao Li [aut], Ministry of Education, Singapore [fnd] .)
Maintainer: Dongming Huang <huang.dongming@nus.edu.sg>
Repository: CRAN
Date/Publication: 2024-12-18 16:10:02 UTC

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New package BAREB with initial version 0.1.2
Package: BAREB
Title: A Bayesian Repulsive Biclustering Model for Periodontal Data
Version: 0.1.2
Description: Simultaneously clusters the Periodontal diseases (PD) patients and their tooth sites after taking the patient- and site-level covariates into consideration. 'BAREB' uses the determinantal point process (DPP) prior to induce diversity among different biclusters to facilitate parsimony and interpretability. Essentially, 'BAREB' is a cluster-wise linear model based on Yuliang (2020) <doi:10.1002/sim.8536>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Depends: R (>= 3.5.0)
Repository: CRAN
Packaged: 2024-12-18 01:27:43 UTC; kevin_liu
Author: Yuliang Li [aut], Yanxun Xu [aut], Dipankar Bandyopadhyay [aut], John Burkardt [ctb], Qingyang Liu [aut, cre]
Maintainer: Qingyang Liu <rh8liuqy@gmail.com>
Date/Publication: 2024-12-18 16:10:08 UTC

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New package tatooheene with initial version 0.19.0
Package: tatooheene
Title: Technology Appraisal Toolbox for Health Economic Evaluations in the Netherlands
Version: 0.19.0
Description: Functions to support economic modelling in R based on the methods of the Dutch guideline for economic evaluations in healthcare <https://www.zorginstituutnederland.nl/publicaties/publicatie/2024/01/16/richtlijn-voor-het-uitvoeren-van-economische-evaluaties-in-de-gezondheidszorg>, CBS data <https://www.cbs.nl/>, and OECD data <https://www.oecd.org/en.html>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
Imports: dplyr (>= 1.1.4), assertthat (>= 0.2.1), tidyr (>= 1.3.0), stats
Suggests: cbsodataR, lubridate, here, testthat
NeedsCompilation: no
Packaged: 2024-12-17 16:45:33 UTC; 85304spe
Author: Frederick Thielen [aut] , Stijn Peeters [aut, cre]
Maintainer: Stijn Peeters <s.b.peeters@eshpm.eur.nl>
Repository: CRAN
Date/Publication: 2024-12-18 15:50:06 UTC

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New package stepSplitReg with initial version 1.0.4
Package: stepSplitReg
Title: Stepwise Split Regularized Regression
Version: 1.0.4
Date: 2024-12-16
Description: Functions to perform stepwise split regularized regression. The approach first uses a stepwise algorithm to split the variables into the models with a goodness of fit criterion, and then regularization is applied to each model. The weights of the models in the ensemble are determined based on a criterion selected by the user.
License: GPL (>= 2)
Biarch: true
Imports: Rcpp (>= 1.0.7), SplitGLM, nnls
Suggests: testthat, mvnfast, vctrs
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-12-17 03:35:48 UTC; anthony
Author: Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2024-12-18 15:20:02 UTC

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New package splineCox with initial version 0.0.1
Package: splineCox
Title: A Two-Stage Estimation Approach to Cox Regression Using M-Spline Function
Version: 0.0.1
Maintainer: Ren Teranishi <ren.teranishi1227@gmail.com>
Description: Implements a two-stage estimation approach for Cox regression using five-parameter M-spline functions to model the baseline hazard. It allows for flexible hazard shapes and model selection based on log-likelihood criteria.
License: GPL (>= 3)
Encoding: UTF-8
Imports: joint.Cox
Suggests: knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-17 23:10:49 UTC; a223ms012t
Author: Ren Teranishi [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-18 16:00:02 UTC

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New package spanishoddata with initial version 0.1.0
Package: spanishoddata
Title: Get Spanish Origin-Destination Data
Version: 0.1.0
Description: Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
License: MIT + file LICENSE
URL: https://rOpenSpain.github.io/spanishoddata/, https://github.com/rOpenSpain/spanishoddata
BugReports: https://github.com/rOpenSpain/spanishoddata/issues
Depends: R (>= 3.5.0)
Imports: checkmate, curl (>= 5.0.0), DBI, dplyr, duckdb (>= 0.5.0), fs, glue, here, httr2, lubridate, memuse, parallelly, purrr, readr, rlang, sf, stats, stringr, tibble, xml2
Suggests: flowmapblue, flowmapper (>= 0.1.2), furrr, future, hexSticker, mapSpain, quarto, remotes, scales, testthat (>= 3.0.0), tidyverse
VignetteBuilder: quarto
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-17 11:48:19 UTC; ek
Author: Egor Kotov [aut, cre] , Robin Lovelace [aut] , Eugeni Vidal-Tortosa [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-18 15:40:02 UTC

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New package shinychat with initial version 0.1.1
Package: shinychat
Title: Chat UI Component for 'shiny'
Version: 0.1.1
Description: Provides a scrolling chat interface with multiline input, suitable for creating chatbot apps based on Large Language Models (LLMs). Designed to work particularly well with the 'elmer' R package for calling LLMs.
License: MIT + file LICENSE
URL: https://github.com/jcheng5/shinychat, https://jcheng5.github.io/shinychat/
BugReports: https://github.com/jcheng5/shinychat/issues
Imports: bslib, coro, htmltools, promises (>= 1.3.2), rlang, shiny (>= 1.10.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-17 19:02:58 UTC; jcheng
Author: Joe Cheng [aut, cre], Carson Sievert [aut], Posit Software, PBC [cph, fnd]
Maintainer: Joe Cheng <joe@posit.co>
Repository: CRAN
Date/Publication: 2024-12-18 15:50:10 UTC

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New package PSGD with initial version 1.0.4
Package: PSGD
Title: Projected Subset Gradient Descent
Version: 1.0.4
Date: 2024-12-16
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>
Description: Functions to generate ensembles of generalized linear models using a greedy projected subset gradient descent algorithm. The sparsity and diversity tuning parameters are selected by cross-validation.
License: GPL (>= 2)
Biarch: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp (>= 1.0.7)
Suggests: testthat, mvnfast, vctrs
NeedsCompilation: yes
Packaged: 2024-12-17 03:09:42 UTC; anthony
Author: Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut]
Repository: CRAN
Date/Publication: 2024-12-18 15:20:06 UTC

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New package adas.utils with initial version 1.0.0
Package: adas.utils
Title: Design of Experiments and Factorial Plans Utilities
Version: 1.0.0
Description: A number of functions to create and analyze factorial plans according to the Design of Experiments (DoE) approach, with the addition of some utility function to perform some statistical analyses. DoE approach follows the approach in "Design and Analysis of Experiments" by Douglas C. Montgomery (2019, ISBN:978-1-119-49244-3). The package also provides utilities used in the course "Analysis of Data and Statistics" at the University of Trento, Italy.
Depends: R (>= 4.0.0)
License: CC BY 4.0
Encoding: UTF-8
Imports: dplyr, gghalfnorm, ggplot2, glue, grDevices, lubridate, magrittr, purrr, readr, rlang, scales, stats, stringr, tibble, tidyr, utils
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-17 12:06:56 UTC; p4010
Author: Paolo Bosetti [aut, cre]
Maintainer: Paolo Bosetti <paolo.bosetti@unitn.it>
Repository: CRAN
Date/Publication: 2024-12-18 15:40:07 UTC

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New package elrm with initial version 1.2.6
Package: elrm
Version: 1.2.6
Date: 2024-12-17
Title: Exact Logistic Regression via MCMC
Author: David Zamar [aut, cre], Jinko Graham [aut], Brad McNeney [aut]
Maintainer: David Zamar <zamar.david@gmail.com>
Depends: R(>= 2.7.2), coda, graphics, stats
Description: Implements a Markov Chain Monte Carlo algorithm to approximate exact conditional inference for logistic regression models. Exact conditional inference is based on the distribution of the sufficient statistics for the parameters of interest given the sufficient statistics for the remaining nuisance parameters. Using model formula notation, users specify a logistic model and model terms of interest for exact inference. See Zamar et al. (2007) <doi:10.18637/jss.v021.i03> for more details.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2024-12-18 06:37:09 UTC; zamar
Date/Publication: 2024-12-18 08:00:07 UTC

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New package datacutr with initial version 0.2.1
Package: datacutr
Title: SDTM Datacut
Version: 0.2.1
Description: Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.
License: Apache License (>= 2)
BugReports: https://github.com/pharmaverse/datacutr/issues
URL: https://pharmaverse.github.io/datacutr/, https://github.com/pharmaverse/datacutr
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1)
Imports: admiraldev (>= 0.3.0), assertthat (>= 0.2.1), dplyr (>= 1.0.5), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), stringr (>= 1.4.0), rlang (>= 0.4.4), tibble (>= 3.0.0), reactable (>= 0.4.4)
Suggests: devtools, lintr, pkgdown, testthat, knitr, methods, rmarkdown, roxygen2, spelling, styler, usethis, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-17 15:12:35 UTC; barnett1
Author: Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut], Cara Andrews [aut]
Maintainer: Tim Barnett <timothy.barnett@roche.com>
Repository: CRAN
Date/Publication: 2024-12-18 08:00:15 UTC

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Tue, 17 Dec 2024

New package pacu with initial version 0.1.44
Package: pacu
Title: Precision Agriculture Computational Utilities
Version: 0.1.44
Description: Support for a variety of commonly used precision agriculture operations. Includes functions to download and process raw satellite images from Sentinel-2 <https://documentation.dataspace.copernicus.eu/APIs/OData.html>. Includes functions that download vegetation index statistics for a given period of time, without the need to download the raw images <https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>. There are also functions to download and visualize weather data in a historical context. Lastly, the package also contains functions to process yield monitor data. These functions can build polygons around recorded data points, evaluate the overlap between polygons, clean yield data, and smooth yield maps.
Depends: R (>= 4.0.0)
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
BugReports: https://github.com/cldossantos/pacu/issues
Imports: apsimx, gstat, httr, jsonlite, sf, stars, units, XML, concaveman, tmap
Suggests: knitr, ggplot2, patchwork, mgcv, nasapower, spData, rmarkdown
NeedsCompilation: no
Packaged: 2024-12-16 20:47:07 UTC; caio
Author: dos Santos Caio [aut, cre], Miguez Fernando [aut]
Maintainer: dos Santos Caio <clsantos@iastate.edu>
Repository: CRAN
Date/Publication: 2024-12-17 10:20:02 UTC

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New package greta.gam with initial version 0.2.0
Package: greta.gam
Title: Generalised Additive Models in 'greta' using 'mgcv'
Version: 0.2.0
Description: A 'greta' (Golding (2019) <doi:10.21105/joss.01601>) module that lets you use 'mgcv' smoother functions and formula syntax to define smooth terms for use in a 'greta' model. You can then define your own likelihood to complete the model, and fit it by Markov Chain Monte Carlo (MCMC).
License: Apache License (>= 2)
Imports: cli, mgcv, rlang, stats
Depends: greta (>= 0.5.0), R (>= 4.1.0)
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/greta-dev/greta.gam, https://greta-dev.github.io/greta.gam/
BugReports: https://github.com/greta-dev/greta.gam/issues
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2024-12-17 00:00:37 UTC; nick
Author: Nick Golding [aut, cph] , Nicholas Tierney [aut, cre] , David L Miller [aut]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-17 10:40:02 UTC

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New package exhaustiveRasch with initial version 0.3.7
Package: exhaustiveRasch
Title: Item Selection and Exhaustive Search for Rasch Models
Version: 0.3.7
Date: 2024-12-16
Description: Automation of the item selection processes for Rasch scales by means of exhaustive search for suitable Rasch models (dichotomous, partial credit, rating-scale) in a list of item-combinations. The item-combinations to test can be either all possible combinations or item-combinations can be defined by several rules (forced inclusion of specific items, exclusion of combinations, minimum/maximum items of a subset of items). Tests for model fit and item fit include ordering of the thresholds, item fit-indices, likelihood ratio test, Martin-Löf test, Wald-like test, person-item distribution, person separation index, principal components of Rasch residuals, empirical representation of all raw scores or Rasch trees for detecting differential item functioning. The tests, their ordering and their parameters can be defined by the user. For parameter estimation and model tests, functions of the packages 'eRm', 'psychotools' or 'pairwise' can be used.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: eRm, psychotree, parallel, stats, utils, psych, tictoc, methods, psychotools, pairwise, arrangements, pbapply
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/chrgrebe/exhaustiveRasch
BugReports: https://github.com/chrgrebe/exhaustiveRasch/issues
NeedsCompilation: no
Packaged: 2024-12-16 21:25:53 UTC; Chris
Author: Christian Grebe [cre, aut] , Mirko Schuermann [aut] , Joerg-Henrik Heine [ctb], Patrick Mair [ctb], Thomas Rusch [ctb], Reinhold Hatzinger [ctb], Marco J. Maier [ctb], Rudolf Debelak [ctb]
Maintainer: Christian Grebe <grebe@hepcos.com>
Repository: CRAN
Date/Publication: 2024-12-17 10:30:02 UTC

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New package qPRAentry with initial version 0.1.0
Package: qPRAentry
Title: Quantitative Pest Risk Assessment at the Entry Step
Version: 0.1.0
Description: Supports risk assessors in performing the entry step of the quantitative Pest Risk Assessment. It allows the estimation of the amount of a plant pest entering a risk assessment area (in terms of founder populations) through the calculation of the imported commodities that could be potential pathways of pest entry, and the development of a pathway model. Two 'Shiny' apps based on the functionalities of the package are included, that simplify the process of assessing the risk of entry of plant pests. The approach is based on the work of the European Food Safety Authority (EFSA PLH Panel et al., 2018) <doi:10.2903/j.efsa.2018.5350>.
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: bsplus, dplyr, DT, eurostat (>= 4.0.0), ggiraph, ggplot2, giscoR (>= 0.6.0), memoise, purrr, sf, shiny, shinycssloaders, shinyjs, shinyWidgets, stats, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-16 20:16:57 UTC; Usuario
Author: Martina Cendoya [aut, cre] , Maria Chiara Rosace [aut]
Maintainer: Martina Cendoya <cendoya_marmar@gva.es>
Repository: CRAN
Date/Publication: 2024-12-17 10:00:01 UTC

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New package GrowthCurveME with initial version 0.1.0
Package: GrowthCurveME
Title: Mixed-Effects Modeling for Growth Data
Version: 0.1.0
Description: Simple and user-friendly wrappers to the 'saemix' package for performing linear and non-linear mixed-effects regression modeling for growth data to account for clustering or longitudinal analysis via repeated measurements. The package allows users to fit a variety of growth models, including linear, exponential, logistic, and 'Gompertz' functions. For non-linear models, starting values are automatically calculated using initial least-squares estimates. The package includes functions for summarizing models, visualizing data and results, calculating doubling time and other key statistics, and generating model diagnostic plots and residual summary statistics. It also provides functions for generating publication-ready summary tables for reports. Additionally, users can fit linear and non-linear least-squares regression models if clustering is not applicable. The mixed-effects modeling methods in this package are based on Comets, Lavenu, and Lavielle (2017) <doi:10.18637/jss.v080.i03&g [...truncated...]
License: GPL (>= 3)
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.1.4), flextable (>= 0.9.6), ggplot2 (>= 3.5.1), investr (>= 1.4.2), knitr (>= 1.46), magrittr (>= 2.0.3), minpack.lm (>= 1.2-4), moments (>= 0.14.1), patchwork (>= 1.2.0), rlang (>= 1.1.3), saemix (>= 3.3), stringr (>= 1.5.1), tibble (>= 3.2.1), tidyr (>= 1.3.1), viridis (>= 0.6.5)
Suggests: rmarkdown (>= 2.27), testthat (>= 3.2.1.1)
Encoding: UTF-8
LazyData: true
URL: https://github.com/cancermodels-org/GrowthCurveME
BugReports: https://github.com/cancermodels-org/GrowthCurveME/issues
NeedsCompilation: no
Packaged: 2024-12-16 19:54:20 UTC; anand
Author: Anand Panigrahy [aut, cre] , Sonam Bhatia [ctb] , Thomas Quinn [dtc], Aniket Shetty [rev], Keith Ligon [fnd] , Center for Patient-Derived Models Dana-Farber Cancer Institute [cph]
Maintainer: Anand Panigrahy <anand_panigrahy@dfci.harvard.edu>
Repository: CRAN
Date/Publication: 2024-12-17 09:50:08 UTC

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New package fuseMLR with initial version 0.0.1
Package: fuseMLR
Title: Fusing Machine Learning in R
Version: 0.0.1
Maintainer: Cesaire J. K. Fouodo <cesaire.kuetefouodo@uni-luebeck.de>
Description: Recent technological advances have enable the simultaneous collection of multi-omics data i.e., different types or modalities of molecular data, presenting challenges for integrative prediction modeling due to the heterogeneous, high-dimensional nature and possible missing modalities of some individuals. We introduce this package for late integrative prediction modeling, enabling modality-specific variable selection and prediction modeling, followed by the aggregation of the modality-specific predictions to train a final meta-model. This package facilitates conducting late integration predictive modeling in a systematic, structured, and reproducible way.
License: GPL-3
Encoding: UTF-8
Imports: R6, stats, digest
Suggests: testthat (>= 3.0.0), UpSetR (>= 1.4.0), caret, ranger, glmnet, Boruta, knitr, rmarkdown, pROC, checkmate
Depends: R (>= 3.6.0)
VignetteBuilder: knitr, rmarkdown
BugReports: https://github.com/imbs-hl/fuseMLR/issues
NeedsCompilation: no
Packaged: 2024-12-15 04:36:16 UTC; fouodo
Author: Cesaire J. K. Fouodo [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-17 09:20:02 UTC

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New package fasterRaster with initial version 8.4.0.3
Package: fasterRaster
Title: Faster Raster and Spatial Vector Processing Using 'GRASS GIS'
Version: 8.4.0.3
Date: 2024-12-15
Maintainer: Adam B. Smith <adam.smith@mobot.org>
Description: Processing of large-in-memory/large-on disk rasters and spatial vectors using 'GRASS GIS' <https://grass.osgeo.org/>. Most functions in the 'terra' package are recreated. Processing of medium-sized and smaller spatial objects will nearly always be faster using 'terra' or 'sf', but for large-in-memory/large-on-disk objects, 'fasterRaster' may be faster. To use most of the functions, you must have the stand-alone version (not the 'OSGeoW4' installer version) of 'GRASS GIS' 8.0 or higher.
Depends: R (>= 4.0.0)
Imports: data.table (>= 1.14.8), DT, graphics, grDevices, methods, omnibus (>= 1.2.11), rgrass (>= 0.3-9), rpanel, sf, shiny, terra (>= 1.7), utils
Suggests: knitr, rmarkdown
License: GPL (>= 3)
SystemRequirements: GRASS (>= 8)
URL: https://github.com/adamlilith/fasterRaster, https://adamlilith.github.io/fasterRaster/
BugReports: https://github.com/adamlilith/fasterRaster/issues
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-12-15 18:58:06 UTC; adame
Author: Adam B. Smith [cre, aut]
Repository: CRAN
Date/Publication: 2024-12-17 09:30:01 UTC

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Mon, 16 Dec 2024

New package spEDM with initial version 1.0
Package: spEDM
Title: Spatial Empirical Dynamic Modeling
Version: 1.0
Description: Integrates empirical dynamic modeling (EDM) with geospatial cross-sectional data to analyze causality via geographical convergent cross mapping (GCCM) described in Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/spEDM/, https://github.com/stscl/spEDM
BugReports: https://github.com/stscl/spEDM/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Imports: dplyr, sdsfun (>= 0.6.0), terra
Suggests: ggplot2, knitr, Rcpp, RcppThread, rmarkdown, sf, spdep
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-14 00:45:34 UTC; dell
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-16 17:30:02 UTC

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New package displease with initial version 1.0.0
Package: displease
Title: Numeric and Color Sequences with Non-Linear Interpolation
Version: 1.0.0
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: When visualising changes between two values over time, a strict linear interpolation can look jarring and unnatural. By applying a non-linear easing to the transition, the motion between values can appear smoother and more natural. This package includes functions for applying such non-linear easings to colors and numeric values, and is useful where smooth animated movement and transitions are desired.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/coolbutuseless/displease
BugReports: https://github.com/coolbutuseless/displease/issues
Suggests: farver
NeedsCompilation: no
Packaged: 2024-12-14 11:30:11 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-16 17:40:02 UTC

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New package colorfast with initial version 1.0.0
Package: colorfast
Title: Fast Conversion of R Colors to Color Component Values and Native Packed Integer Format
Version: 1.0.0
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Color values in R are often represented as strings of hexadecimal colors or named colors. This package offers fast conversion of these color representations to either an array of red/green/blue/alpha values or to the packed integer format used in native raster objects. This fast conversion of colors is implemented using an order-preserving minimal perfect hash derived from Majewski et al (1996) 'A Family of Perfect Hashing Methods' <doi:10.1093/comjnl/39.6.547>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-12-14 11:03:30 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-16 17:40:06 UTC

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New package BigDataPE with initial version 0.0.9
Package: BigDataPE
Title: Secure and Intuitive Access to 'BigDataPE' 'API' Datasets
Version: 0.0.9
Date: 2024-12-01
Description: Designed to simplify the process of retrieving datasets from the 'BigDataPE' platform using secure token-based authentication. It provides functions for securely storing, retrieving, and managing tokens associated with specific datasets, as well as fetching and processing data using the 'httr2' package. The integration with 'keyring' ensures that tokens are stored securely within the system’s credential manager.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, tibble, httr2, keyring
URL: <https://github.com/StrategicProjects/bigdatape>
NeedsCompilation: no
Packaged: 2024-12-14 19:49:15 UTC; leite
Author: Andre Leite [aut, cre], Hugo Vaconcelos [aut], Diogo Bezerra [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2024-12-16 18:00:02 UTC

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New package treeclim with initial version 2.0.7.1
Package: treeclim
Title: Numerical Calibration of Proxy-Climate Relationships
Version: 2.0.7.1
Date: 2024-12-13
Depends: R (>= 3.0.2), base, stats, utils, Rcpp (>= 0.10.6)
Imports: abind, plyr, ggplot2, lmtest, lmodel2, np, boot
LinkingTo: Rcpp, RcppArmadillo (>= 0.4.000.2)
Suggests: testthat (>= 2.99.0.9000)
Description: Bootstrapped response and correlation functions, seasonal correlations and evaluation of reconstruction skills for use in dendroclimatology and dendroecology, see Zang and Biondi (2015) <doi:10.1111/ecog.01335>.
NeedsCompilation: yes
License: GPL-3
LazyData: yes
Encoding: UTF-8
URL: https://github.com/cszang/treeclim
BugReports: https://github.com/cszang/treeclim/issues
Packaged: 2024-12-13 10:11:53 UTC; christian
Author: Christian Zang [aut, cre, cph, trl], Franco Biondi [ctb, cph]
Maintainer: Christian Zang <christian.zang@hswt.de>
Repository: CRAN
Date/Publication: 2024-12-16 16:20:02 UTC

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New package jointest with initial version 1.0
Package: jointest
Version: 1.0
Date: 2024-12-13
Title: Multivariate Testing Through Joint Resampling-Based Tests
Description: Runs resampling-based tests jointly, e.g., sign-flip score tests from Hemerik et al., (2020) <doi:10.1111/rssb.12369>, to allow for multivariate testing, i.e., weak and strong control of the Familywise Error Rate or True Discovery Proportion.
Imports: flipscores, flip, stats, graphics, grDevices
Encoding: UTF-8
License: GPL-2
Suggests: knitr, logistf, rmarkdown, ggplot2, lme4
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-13 14:28:08 UTC; finos
Author: Livio Finos [cre, aut] , Angela Andreella [aut], Filippo Gambarota [ctb]
Maintainer: Livio Finos <livio.finos@unipd.it>
Repository: CRAN
Date/Publication: 2024-12-16 16:20:06 UTC

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New package iso8601 with initial version 0.1.0
Package: iso8601
Title: Working with ISO8601 Dates and Times
Version: 0.1.0
Description: Functions to parse strings with ISO8601 dates, times, and date-times into R-objects. Additionally, there are functions to determine the type of ISO8601 string and to standardise ISO8601 strings.
BugReports: https://github.com/djvanderlaan/iso8601/issues
URL: https://github.com/djvanderlaan/iso8601/tree/main/R-package
Depends: R (>= 3.6.0)
Imports: Rcpp, utils
Suggests: methods
LinkingTo: Rcpp
License: GPL-3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-12-13 15:05:57 UTC; dlan@cbsp.nl
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>
Repository: CRAN
Date/Publication: 2024-12-16 16:30:02 UTC

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Fri, 13 Dec 2024

New package WARDEN with initial version 0.99.1
Package: WARDEN
Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Version: 0.99.1
Description: Toolkit to support and perform discrete event simulations without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://www.sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: dplyr, ggplot2, knitr, rmarkdown, kableExtra, DiagrammeR, testthat (>= 3.0.0), survminer, survival
Imports: purrr, data.table, foreach, future, doFuture, stats, utils, flexsurv, MASS, zoo, progressr, magrittr, tidyr
VignetteBuilder: knitr
Depends: R (>= 2.10)
URL: https://jsanchezalv.github.io/WARDEN/
NeedsCompilation: no
Packaged: 2024-12-12 15:05:06 UTC; Javier
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-13 16:40:13 UTC

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New package GHCNr with initial version 0.8.0
Package: GHCNr
Title: Download Weather Station Data from GHCN
Version: 0.8.0
Description: The goal of 'GHCNr' is to provide a fast and friendly interface with the Global Historical Climatology Network daily (GHCNd) database, which contains daily summaries of weather station data worldwide (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>). GHCNd is accessed through the web API <https://www.ncei.noaa.gov/access/services/data/v1>. 'GHCNr' main functionalities consist of downloading data from GHCNd, filter it, and to aggregate it at monthly and annual scales.
License: MIT + file LICENSE
Imports: tibble, dplyr, tidyr, readr, tidyselect, httr2, terra, utils, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 12:23:38 UTC; squirry
Author: Emilio Berti [aut, cre]
Maintainer: Emilio Berti <emilio.berti@idiv.de>
Repository: CRAN
Date/Publication: 2024-12-13 16:40:17 UTC

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New package dscoreMSM with initial version 0.1.0
Package: dscoreMSM
Title: Survival Proximity Score Matching in Multi-State Survival Model
Version: 0.1.0
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Imports: rjags, stats, timeROC, ggplot2, survival, mstate
Description: Implements survival proximity score matching in multi-state survival models. Includes tools for simulating survival data and estimating transition-specific coxph models with frailty terms. The primary methodological work on multistate censored data modeling using propensity score matching has been published by Bhattacharjee et al.(2024) <doi:10.1038/s41598-024-54149-y>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 16:29:27 UTC; atanubhattacharjee
Author: Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]
Repository: CRAN
Date/Publication: 2024-12-13 16:40:02 UTC

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New package datastat with initial version 0.1.0
Package: datastat
Title: Dataset for Statistical Analysis
Version: 0.1.0
Language: en-US
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>
Description: Data are essential in statistical analysis. This data package consists of four datasets for descriptive statistics, two datasets for statistical hypothesis testing, and two datasets for regression analysis. All of the datasets are based on Rattanalertnusorn, A. (2024) <https://www.researchgate.net/publication/371944275_porkaermxarlaeakarprayuktchingan_R_and_its_applications>.
License: CC0
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-12-12 11:39:10 UTC; User
Author: Atchanut Rattanalertnusorn [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-13 16:40:05 UTC

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New package bridgr with initial version 0.1.1
Package: bridgr
Title: Bridging Data Frequencies for Timely Economic Forecasts
Version: 0.1.1
Maintainer: Marc Burri <marc.burri91@gmail.com>
Description: Implements bridge models for nowcasting and forecasting macroeconomic variables by linking high-frequency indicator variables (e.g., monthly data) to low-frequency target variables (e.g., quarterly GDP). Simplifies forecasting and aggregating indicator variables to match the target frequency, enabling timely predictions ahead of official data releases. For more on bridge models, see Baffigi, A., Golinelli, R., & Parigi, G. (2004) <doi:10.1016/S0169-2070(03)00067-0>, Burri (2023) <https://www5.unine.ch/RePEc/ftp/irn/pdfs/WP23-02.pdf> or Schumacher (2016) <doi:10.1016/j.ijforecast.2015.07.004>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, dplyr, rlang, generics, tsbox, lubridate, forecast
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
URL: https://github.com/marcburri/bridgr, https://marcburri.github.io/bridgr/
BugReports: https://github.com/marcburri/bridgr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 16:16:47 UTC; marcburri
Author: Marc Burri [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-13 16:40:09 UTC

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New package spphpr with initial version 0.1.4
Package: spphpr
Title: Spring Phenological Prediction
Version: 0.1.4
Date: 2024-12-12
Author: Peijian Shi [aut, cre], Zhenghong Chen [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>
Description: Predicts the occurrence times (in day of year) of spring phenological events. Three methods, including the accumulated degree days (ADD) method, the accumulated days transferred to a standardized temperature (ADTS) method, and the accumulated developmental progress (ADP) method, were used. See Shi et al. (2017a) <doi:10.1016/j.agrformet.2017.04.001> and Shi et al. (2017b) <doi:10.1093/aesa/sax063> for details.
Depends: R (>= 4.2.0)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-12-12 07:14:19 UTC; PEIJIAN SHI
Repository: CRAN
Date/Publication: 2024-12-13 09:10:02 UTC

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New package mintyr with initial version 0.1.0
Package: mintyr
Title: Streamlined Data Processing Tools for Genomic Selection
Version: 0.1.0
Description: A toolkit for genomic selection in animal breeding with emphasis on multi-breed and multi-trait nested grouping operations. Streamlines iterative analysis workflows when working with 'ASReml-R' package. Includes utility functions for phenotypic data processing commonly used by animal breeders.
License: MIT + file LICENSE
URL: https://tony2015116.github.io/mintyr/
BugReports: https://github.com/tony2015116/mintyr/issues
Depends: R (>= 3.5.0)
Imports: arrow, data.table, dplyr, parallel, purrr, readxl, rlang, rsample, rstatix, stats, tibble, utils
Suggests: knitr, rmarkdown, testthat, tidyr, tools
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-12 01:59:42 UTC; Dell
Author: Guo Meng [aut, cre], Guo Meng [cph]
Maintainer: Guo Meng <tony2015116@163.com>
Repository: CRAN
Date/Publication: 2024-12-13 09:10:06 UTC

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New package DBCVindex with initial version 1.1
Encoding: UTF-8
Package: DBCVindex
Title: Calculates the Density-Based Clustering Validation Index (DBCV) Index
Version: 1.1
Description: A metric called 'Density-Based Clustering Validation index' (DBCV) index to evaluate clustering results, following the <https://github.com/FelSiq/DBCV> 'Python' implementation by Felipe Alves Siqueira. Original 'DBCV' index article: Moulavi, D., Jaskowiak, P. A., Campello, R. J., Zimek, A., & Sander, J. (2014, April). "Density-based clustering validation", Proceedings of SDM 2014 -- the 2014 SIAM International Conference on Data Mining (pp. 839-847), <doi:10.1137/1.9781611973440.96>.
Depends: R (>= 4.0.0)
License: GPL-3
URL: https://github.com/davidechicco/DBCVindex
Imports: pacman, Matrix, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-12 11:03:55 UTC; davide
Author: Davide Chicco [aut, cre]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>
Repository: CRAN
Date/Publication: 2024-12-13 09:30:02 UTC

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New package cercospoRa with initial version 0.0.1
Package: cercospoRa
Title: Process Based Epidemiological Model for Cercospora Leaf Spot of Sugar Beet
Version: 0.0.1
Description: Estimates sugar beet canopy closure with remotely sensed leaf area index and estimates when action might be needed to protect the crop from a Leaf Spot epidemic with a negative prognosis model based on published models.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), remotes, stats, spelling
Imports: data.table, lubridate, sf, terra, minpack.lm, circular
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
LazyData: true
URL: https://paul.melloy.com.au/cercospoRa/, https://github.com/PaulMelloy/cercospoRa, http://paul.melloy.com.au/cercospoRa/
BugReports: https://github.com/PaulMelloy/cercospoRa/issues
NeedsCompilation: no
Packaged: 2024-12-12 10:11:12 UTC; paul
Author: Paul Melloy [aut, cre, trl, cph] , Rene Heim [aut, cph] , Nathan Okole [aut, ctb, cph] , Facundo Ramon Ispizua Yamati [dtc, ctb] , Anne-Katrin Mahlein [ctb, cph]
Maintainer: Paul Melloy <paul@melloy.com.au>
Repository: CRAN
Date/Publication: 2024-12-13 09:20:02 UTC

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New package ideanet with initial version 1.0.0
Package: ideanet
Title: Integrating Data Exchange and Analysis for Networks ('ideanet')
Version: 1.0.0
Date: 2024-12-06
Description: A suite of convenient tools for social network analysis geared toward students, entry-level users, and non-expert practitioners. ‘ideanet’ features unique functions for the processing and measurement of sociocentric and egocentric network data. These functions automatically generate node- and system-level measures commonly used in the analysis of these types of networks. Outputs from these functions maximize the ability of novice users to employ network measurements in further analyses while making all users less prone to common data analytic errors. Additionally, ‘ideanet’ features an R Shiny graphic user interface that allows novices to explore network data with minimal need for coding.
Maintainer: Tom Wolff <tom.wolff@northwestern.edu>
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: CliquePercolation, cluster, colorspace, concorR, cowplot, data.table, dplyr, forcats, ggplot2, grDevices, gridGraphics, igraph, intergraph, jsonlite, linkcomm, magrittr, Matrix, methods, moments, network, readxl, rlang, RSpectra, shiny, sna, stringr, tibble, tidyr, tidyselect
Suggests: DT, devtools, egor, ergm, shinythemes, shinyWidgets, knitr, rmarkdown, shinycssloaders, visNetwork
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-11 18:25:01 UTC; wms1212
Author: Tom Wolff [aut, cre] , Jonathan Howard Morgan [aut] , Gabriel Varela [aut] , Kieran Lele [aut], Ethan Bhojani [aut], Emily Heraty [aut], Dana Pasquale [aut] , Peter Mucha [aut] , James Moody [aut]
Repository: CRAN
Date/Publication: 2024-12-13 09:00:02 UTC

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Thu, 12 Dec 2024

New package pprof with initial version 1.0.1
Package: pprof
Title: Modeling, Standardization and Testing for Provider Profiling
Version: 1.0.1
Date: 2024-11-18
Description: Implements linear and generalized linear models for provider profiling, incorporating both fixed and random effects. For large-scale providers, the linear profiled-based method and the SerBIN method for binary data reduce the computational burden. Provides post-modeling features, such as indirect and direct standardization measures, hypothesis testing, confidence intervals, and post-estimation visualization. For more information, see Wu et al. (2022) <doi:10.1002/sim.9387>.
License: MIT + file LICENSE
LazyData: true
Imports: Rcpp, RcppParallel, stats, caret, olsrr, pROC, poibin, dplyr, ggplot2, Matrix, lme4, magrittr, scales, tibble, rlang
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/UM-KevinHe/pprof
Encoding: UTF-8
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-12-11 16:15:37 UTC; emily
Author: Xiaohan Liu [aut, cre], Lingfeng Luo [aut], Yubo Shao [aut], Xiangeng Fang [aut], Wenbo Wu [aut], Kevin He [aut]
Maintainer: Xiaohan Liu <xhliuu@umich.edu>
Repository: CRAN
Date/Publication: 2024-12-12 15:10:02 UTC

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New package orderanalyzer with initial version 1.0.0
Package: orderanalyzer
Title: Extracting Order Position Tables from PDF-Based Order Documents
Version: 1.0.0
Date: 2024-12-11
Maintainer: Michael Scholz <michael.scholz@th-deg.de>
Description: Functions for extracting text and tables from PDF-based order documents. It provides an n-gram-based approach for identifying the language of an order document. It furthermore uses R-package 'pdftools' to extract the text from an order document. In the case that the PDF document is only including an image (because it is scanned document), R package 'tesseract' is used for OCR. Furthermore, the package provides functionality for identifying and extracting order position tables in order documents based on a clustering approach.
License: GPL-3
SystemRequirements: Tesseract >= 5.0.0, libtesseract-dev (deb), tesseract-devel (rpm), libleptonica-dev (deb), leptonica-devel (rpm), tesseract-ocr-eng (deb), libpoppler-cpp-dev (deb), poppler-cpp-devel (rpm), poppler-data (rpm/deb), libxml2-dev (deb), libxml2-devel (rpm)
Depends: R(>= 4.3.0), tidyselect
Imports: data.table, dplyr, matrixcalc, quanteda, rlist, stringr, tibble, tidyr, utils, purrr, digest, lubridate
Suggests: pdftools, tesseract, xml2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-11 16:46:01 UTC; mscholz
Author: Michael Scholz [cre, aut], Joerg Bauer [aut]
Repository: CRAN
Date/Publication: 2024-12-12 15:20:02 UTC

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New package moRphomenses with initial version 1.0.2
Package: moRphomenses
Title: Geometric Morphometric Tools to Align, Scale, and Compare "Shape" of Menstrual Cycle Hormones
Version: 1.0.2
Description: Mitteroecker & Gunz (2009) <doi:10.1007/s11692-009-9055-x> describe how geometric morphometric methods allow researchers to quantify the size and shape of physical biological structures. We provide tools to extend geometric morphometric principles to the study of non-physical structures, hormone profiles, as outlined in Ehrlich et al (2021) <doi:10.1002/ajpa.24514>. Easily transform daily measures into multivariate landmark-based data. Includes custom functions to apply multivariate methods for data exploration as well as hypothesis testing. Also includes 'shiny' web app to streamline data exploration. Developed to study menstrual cycle hormones but functions have been generalized and should be applicable to any biomarker over any time period.
License: GPL (>= 3.0)
URL: <https://github.com/ClancyLabUIUC/moRphomenses>
Depends: R (>= 2.10)
Imports: stats, graphics, grDevices, utils
Encoding: UTF-8
LazyData: true
Suggests: dendextend, geomorph, cluster, shiny
NeedsCompilation: no
Packaged: 2024-12-11 16:00:38 UTC; ehrli097
Author: Daniel Ehrlich [aut, cre]
Maintainer: Daniel Ehrlich <dan.ehrlich.e@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-12 15:10:07 UTC

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New package ConjointChecks with initial version 0.2.0
Package: ConjointChecks
Title: Implementation of a Method to Check the Cancellation Axioms of Additive Conjoint Measurement
Version: 0.2.0
Date: 2024-12-02
Maintainer: Ben Domingue <ben.domingue@gmail.com>
Depends: R (>= 4.3), parallel, methods,
Suggests:
Description: Implementation of a procedure---Domingue (2012) <https://eric.ed.gov/?id=ED548657>, Domingue (2014) <doi:10.1007/s11336-013-9342-4>; see also Karabatsos (2001) <https://psycnet.apa.org/record/2002-01665-005> and Kyngdon (2011) <doi:10.1348/2044-8317.002004>---to test the single and double cancellation axioms of conjoint measure in data that is dichotomously coded and measured with error.
URL: https://github.com/ben-domingue/ConjointChecks
LazyData: Yes
Imports: Rcpp
LinkingTo: Rcpp
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2024-12-11 16:40:37 UTC; bdomingu
Author: Ben Domingue [aut, cre], Liam Fox [ctb], Vithor Franco [ctb]
Repository: CRAN
Date/Publication: 2024-12-12 15:20:06 UTC

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New package TauStar with initial version 1.1.7
Package: TauStar
Title: Efficient Computation and Testing of the Bergsma-Dassios Sign Covariance
Version: 1.1.7
Date: 2024-12-11
Description: Computes the t* statistic corresponding to the tau* population coefficient introduced by Bergsma and Dassios (2014) <DOI:10.3150/13-BEJ514> and does so in O(n^2) time following the algorithm of Heller and Heller (2016) <DOI:10.48550/arXiv.1605.08732> building off of the work of Weihs, Drton, and Leung (2016) <DOI:10.1007/s00180-015-0639-x>. Also allows for independence testing using the asymptotic distribution of t* as described by Nandy, Weihs, and Drton (2016) <DOI:10.1214/16-EJS1166>.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.1)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-12-11 13:27:31 UTC; karch
Author: Luca Weihs [aut], Emin Martinian [ctb] , Julian D. Karch [cre]
Maintainer: Julian D. Karch <j.d.karch@fsw.leidenuniv.nl>
Repository: CRAN
Date/Publication: 2024-12-12 15:00:02 UTC

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New package mtscr with initial version 1.0.2
Package: mtscr
Title: Multidimensional Top Scoring for Creativity Research
Version: 1.0.2
Description: Implementation of Multidimensional Top Scoring method for creativity assessment proposed in Boris Forthmann, Maciej Karwowski, Roger E. Beaty (2023) <doi:10.1037/aca0000571>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/jakub-jedrusiak/mtscr
BugReports: https://github.com/jakub-jedrusiak/mtscr/issues
Depends: R (>= 4.1.0)
Imports: broom.mixed, cli, dplyr (>= 1.1.0), glmmTMB, glue, lifecycle, methods, purrr, readr, rlang (>= 0.4.11), stringr, tibble
Suggests: shiny, covr, datamods, DT, roxygen2, shinyWidgets, testthat (>= 3.0.0), withr, writexl
NeedsCompilation: no
Packaged: 2024-12-12 10:01:29 UTC; jakub
Author: Jakub Jedrusiak [aut, cre, cph] , Boris Forthmann [aut, rev] , Roger E. Beaty [aut] , Maciej Karwowski [aut]
Maintainer: Jakub Jedrusiak <jakub.jedrusiak2@uwr.edu.pl>
Repository: CRAN
Date/Publication: 2024-12-12 10:20:02 UTC

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New package MDFS with initial version 1.5.5
Package: MDFS
Title: MultiDimensional Feature Selection
Version: 1.5.5
Date: 2024-12-11
URL: https://www.mdfs.it/
Description: Functions for MultiDimensional Feature Selection (MDFS): calculating multidimensional information gains, scoring variables, finding important variables, plotting selection results. This package includes an optional CUDA implementation that speeds up information gain calculation using NVIDIA GPGPUs. R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.
Depends: R (>= 3.4.0)
License: GPL-3
SystemRequirements: C++17
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
Packaged: 2024-12-11 19:31:00 UTC; radek
Author: Radoslaw Piliszek [aut, cre], Krzysztof Mnich [aut], Pawel Tabaszewski [aut], Szymon Migacz [aut], Andrzej Sulecki [aut], Witold Remigiusz Rudnicki [aut]
Maintainer: Radoslaw Piliszek <radek@piliszek.it>
Repository: CRAN
Date/Publication: 2024-12-12 08:30:12 UTC

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Wed, 11 Dec 2024

New package TREDesigns with initial version 1.0.0
Package: TREDesigns
Title: Ternary Residual Effect Designs
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: There are some experimental scenarios where each experimental unit receives a sequence of treatments across multiple periods, and treatment effects persist beyond the period of application. It focuses on the construction and calculation of the parametric value of the residual effect designs balanced for carryover effects, also referred to as crossover designs, change-over designs, or repeated measurements designs (Aggarwal and Jha, 2010<doi:10.1080/15598608.2010.10412013>). The primary objective of the package is to generate a new class of Balanced Ternary Residual Effect Designs (BTREDs), balanced for carryover effects tailored explicitly for situations where the number of periods is less than or equal to the number of treatments. In addition, the package provides four new classes of Partially Balanced Ternary Residual Effect Designs (PBTREDs), constructed using incomplete block designs, initial sequences, and rectangular association scheme. In addition, one extra function is in [...truncated...]
Suggests: MASS
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-11 09:04:41 UTC; Ashutosh
Author: Akhilesh Jha [aut], Cini Varghese [aut], Seema Jaggi [aut], Mohd Harun [aut], Ashutosh Dalal [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-11 17:10:07 UTC

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New package tna with initial version 0.3.0
Package: tna
Title: Transition Network Analysis (TNA)
Version: 0.3.0
Description: Provides tools for performing Transition Network Analysis (TNA) to study relational dynamics, including functions for building and plotting TNA models, calculating centrality measures, and identifying dominant events and patterns. TNA statistical techniques (e.g., bootstrapping and permutation tests) ensure the reliability of observed insights and confirm that identified dynamics are meaningful. See (Saqr et al., 2024) <doi:10.48550/arXiv.2411.15486> for more details on TNA.
License: MIT + file LICENSE
URL: https://github.com/sonsoleslp/tna/
BugReports: https://github.com/sonsoleslp/tna/issues/
Depends: R (>= 4.1.0)
Imports: checkmate, cli, colorspace, dplyr, ggplot2, graphics, igraph, qgraph, RColorBrewer, rlang, stats, tibble, tidyr
Suggests: gt, knitr, rmarkdown, seqHMM, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-11 10:31:30 UTC; tna
Author: Sonsoles Lopez-Pernas [aut, cre], Santtu Tikka [aut], Mohammed Saqr [aut]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>
Repository: CRAN
Date/Publication: 2024-12-11 17:10:01 UTC

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New package SaturnCoefficient with initial version 1.2
Package: SaturnCoefficient
Title: Statistical Evaluation of UMAP Dimensionality Reductions
Version: 1.2
Description: A metric expressing the quality of a UMAP layout. This is a package that contains the Saturn_coefficient() function that reads an input matrix, its dimensionality reduction produced by UMAP, and evaluates the quality of this dimensionality reduction by producing a real value in the [0; 1] interval. We call this real value Saturn coefficient. A higher value means better dimensionality reduction; a lower value means worse dimensionality reduction. Reference: Davide Chicco et al. "The Saturn coefficient for evaluating the quality of UMAP dimensionality reduction results" (2025, in preparation).
License: GPL-3
URL: https://github.com/davidechicco/SaturnCoefficient
BugReports: https://github.com/davidechicco/SaturnCoefficient/issues
Depends: R (>= 4.0.0)
Imports: stats, MatrixCorrelation, ProjectionBasedClustering, umap
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-11 08:44:51 UTC; davide
Author: Davide Chicco [aut, cre]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>
Repository: CRAN
Date/Publication: 2024-12-11 17:10:10 UTC

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New package wordvector with initial version 0.1.0
Package: wordvector
Title: Word and Document Vector Models
Version: 0.1.0
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>
Description: Create dense vector representation of words and documents using 'quanteda'. Currently implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.
URL: https://github.com/koheiw/wordvector
License: Apache License (>= 2.0)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: quanteda (>= 4.1.0), methods, stringi, Matrix, proxyC, RSpectra, irlba, rsvd
Suggests: testthat, word2vec, spelling
LinkingTo: Rcpp, quanteda
Language: en-US
LazyData: true
NeedsCompilation: yes
Packaged: 2024-12-11 00:47:52 UTC; watan
Author: Kohei Watanabe [aut, cre, cph] , Jan Wijffels [aut] , BNOSAC [cph] , Max Fomichev [ctb, cph]
Repository: CRAN
Date/Publication: 2024-12-11 17:00:02 UTC

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New package SunCalcMeeus with initial version 0.1.1
Package: SunCalcMeeus
Title: Sun Position and Daylight Calculations
Version: 0.1.1
Date: 2024-12-09
Description: Compute the position of the sun, and local solar time using Meeus' formulae. Compute day and/or night length using different twilight definitions or arbitrary sun elevation angles. This package is part of the 'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>. Algorithms from Meeus (1998, ISBN:0943396611).
License: GPL (>= 2)
Depends: R (>= 4.0.0)
Imports: stats, tibble (>= 3.1.6), lubridate (>= 1.9.3), dplyr (>= 1.0.9)
Suggests: knitr (>= 1.41), rmarkdown (>= 2.18), testthat (>= 3.2.1), roxygen2 (>= 7.3.0), lutz (>= 0.3.2), covr, spelling
LazyLoad: yes
ByteCompile: true
URL: https://docs.r4photobiology.info/SunCalcMeeus/, https://github.com/aphalo/SunCalcMeeus
BugReports: https://github.com/aphalo/SunCalcMeeus/issues
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-10 16:55:58 UTC; aphalo
Author: Pedro J. Aphalo [aut, cre]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>
Repository: CRAN
Date/Publication: 2024-12-11 16:10:02 UTC

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New package MAICtools with initial version 0.1.1
Package: MAICtools
Title: Performing Matched-Adjusted Indirect Comparisons (MAIC)
Version: 0.1.1
Author: Xiao Qi [aut, cre]
Maintainer: Xiao Qi <qixiao2024@outlook.com>
Description: A generalised workflow for Matching-Adjusted Indirect Comparison (MAIC) analysis, which supports both anchored and non-anchored MAIC methods. In MAIC, unbiased trial outcome comparison is achieved by weighting the subject-level outcomes of the intervention trial so that the weighted aggregate measures of prognostic or effect-modifying variables match those of the comparator trial. Measurements supported include time-to-event (e.g., overall survival) and binary (e.g., objective tumor response). The method is described in Signorovitch et al. (2010) <doi:10.2165/11538370-000000000-00000> and Signorovitch et al. (2012) <doi:10.1016/j.jval.2012.05.004>.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: assertthat (>= 0.2.1), boot (>= 1.3-28), broom (>= 0.7.10), data.table (>= 1.14.0), dplyr (>= 1.0.7), ggplot2 (>= 3.3.5), graphics (>= 4.0.0), grDevices (>= 4.0.0), grid (>= 4.0.0), magrittr (>= 2.0.1), purrr (>= 0.3.4), rlang (>= 0.4.11), stats (>= 4.0.0), stringr (>= 1.4.0), survival (>= 3.2-11), survminer (>= 0.4.9), tibble (>= 3.1.3), tidyr (>= 1.1.3), tidyselect (>= 1.0.0), VIM (>= 6.1.0)
Suggests: haven (>= 2.4.3), testthat (>= 3.0.0), tidyverse (>= 1.3.1)
Encoding: UTF-8
Language: en-US
LazyData: true
Packaged: 2024-12-11 06:20:50 UTC; Xiao_Qi
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-12-11 17:00:06 UTC

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New package CropBreeding with initial version 0.1.0
Package: CropBreeding
Title: Stability Analysis in Crop Breeding
Version: 0.1.0
Maintainer: Prity Kumari <psingh2506@gmail.com>
Description: Provides tools for crop breeding analysis including Genetic Coefficient of Variation (GCV), Phenotypic Coefficient of Variation (PCV), heritability, genetic advance calculations, stability analysis using the Eberhart-Russell model, two-way ANOVA for genotype-environment interactions, and Additive Main Effects and Multiplicative Interaction (AMMI) analysis. These tools are developed for crop breeding research and stability evaluation under various environmental conditions. The methods are based on established statistical and biometrical principles. Refer to Eberhart and Russell (1966) <doi:10.2135/cropsci1966.0011183X000600010011x> for stability parameters, Fisher (1935) "The Design of Experiments" <ISBN:9780198522294>, Falconer (1996) "Introduction to Quantitative Genetics" <ISBN:9780582243026>, and Singh and Chaudhary (1985) "Biometrical Methods in Quantitative Genetic Analysis" <ISBN:9788122433764> for foundational methodologies.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, dplyr, metan, rlang
NeedsCompilation: no
Packaged: 2024-12-10 15:15:02 UTC; ASUS
Author: Prity Kumari [aut, cre]
Repository: CRAN
Date/Publication: 2024-12-11 16:40:02 UTC

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New package ADSIHT with initial version 0.1.0
Package: ADSIHT
Title: Adaptive Double Sparse Iterative Hard Thresholding
Version: 0.1.0
Date: 2024-12-5
Maintainer: Yanhang Zhang <zhangyh98@ruc.edu.cn>
Description: Solving the high-dimensional double sparse linear regression via iterative hard thresholding algorithm. For more details, please see Zhang et al. (2024, <DOI:10.48550/arXiv.2305.04182>).
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: Matrix, mvnfast, Rcpp
Suggests: knitr, rmarkdown, testthat
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2024-12-11 03:21:08 UTC; Yanhang
Author: Yanhang Zhang [aut, cre], Zhifan Li [aut], Jianxin Yin [aut], Shixiang Liu [aut], Lingren Kong [aut]
Repository: CRAN
Date/Publication: 2024-12-11 17:00:11 UTC

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New package fastPLS with initial version 0.2
Package: fastPLS
Title: A Fast Implementation of Partial Least Square
Version: 0.2
Date: 2024-12-09
Description: An implementation in 'Rcpp' / 'RcppArmadillo' of Partial Least Square algorithms. This package includes other functions to perform the double cross-validation and a fast correlation.
License: GPL-3
Depends: R (>= 2.10.0), Matrix
Imports: Rcpp (>= 0.12.17), methods
LinkingTo: Rcpp, RcppArmadillo, Matrix
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2024-12-10 09:54:19 UTC; user
Author: Stefano Cacciatore [aut, trl, cre] , Dupe Ojo [aut] , Leonardo Tenori [aut] , Alessia Vignoli [aut]
Maintainer: Stefano Cacciatore <stefano.cacciatore@icgeb.org>
Repository: CRAN
Date/Publication: 2024-12-11 15:30:01 UTC

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New package condathis with initial version 0.1.0
Package: condathis
Title: Run Any CLI Tool on a 'Conda' Environment
Version: 0.1.0
Description: Simplifies the execution of command line interface (CLI) tools within isolated and reproducible environments. It enables users to effortlessly manage 'Conda' environments, execute command line tools, handle dependencies, and ensure reproducibility in their data analysis workflows.
License: MIT + file LICENSE
URL: https://github.com/luciorq/condathis
BugReports: https://github.com/luciorq/condathis/issues
Depends: R (>= 4.0)
Imports: cli, fs, jsonlite, processx, rlang, stringr, tibble, tools, utils, withr
Suggests: curl, dplyr, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-10 17:23:21 UTC; luciorq
Author: Lucio Queiroz [aut, cre, cph] , Claudio Zanettini [aut, ctb]
Maintainer: Lucio Queiroz <luciorqueiroz@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-11 16:00:01 UTC

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New package lmap with initial version 0.1.3
Package: lmap
Title: Logistic Mapping
Version: 0.1.3
Maintainer: Mark de Rooij <rooijm@fsw.leidenuniv.nl>
Description: Set of tools for mapping of categorical response variables based on principal component analysis (pca) and multidimensional unfolding (mdu).
Depends: R (>= 3.5.0), ggplot2, ggrepel, ggforce, fmdu
Imports: nnet, stats, magrittr, dplyr, MASS, Rfast
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Author: Mark de Rooij [aut, cre, cph], Frank Busing [aut, cph], Juan Claramunt Gonzalez [aut]
NeedsCompilation: yes
Packaged: 2024-12-09 14:06:47 UTC; prueba
Repository: CRAN
Date/Publication: 2024-12-11 07:50:02 UTC

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New package IRISMustangMetrics with initial version 2.4.7
Package: IRISMustangMetrics
Version: 2.4.7
Title: Statistics and Metrics for Seismic Data
Author: Jonathan Callahan [aut], Rob Casey [aut], Mary Templeton [aut], Gillian Sharer [aut, cre]
Maintainer: Gillian Sharer <gillian.sharer@earthscope.org>
Depends: R (>= 3.2.0), IRISSeismic (>= 1.3.0)
Imports: methods, RCurl, seismicRoll (>= 1.1.4), signal, stringr, XML, stats, pracma, dplyr (>= 0.4.3)
Description: Classes and functions for metrics calculation as part of the 'EarthScope MUSTANG' project. The functionality in this package builds upon the base classes of the 'IRISSeismic' package. Metrics include basic statistics as well as higher level 'health' metrics that can help identify problematic seismometers.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Packaged: 2024-12-10 17:56:44 UTC; gilliansharer
Date/Publication: 2024-12-11 07:50:15 UTC

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Tue, 10 Dec 2024

New package TransProR with initial version 0.0.6
Package: TransProR
Title: Analysis and Visualization of Multi-Omics Data
Version: 0.0.6
Maintainer: Dongyue Yu <yudongyue@mail.nankai.edu.cn>
Description: A tool for comprehensive transcriptomic data analysis, with a focus on transcript-level data preprocessing, expression profiling, differential expression analysis, and functional enrichment. It enables researchers to identify key biological processes, disease biomarkers, and gene regulatory mechanisms. 'TransProR' is aimed at researchers and bioinformaticians working with RNA-Seq data, providing an intuitive framework for in-depth analysis and visualization of transcriptomic datasets. The package includes comprehensive documentation and usage examples to guide users through the entire analysis pipeline. The differential expression analysis methods incorporated in the package include 'limma' (Ritchie et al., 2015, <doi:10.1093/nar/gkv007>; Smyth, 2005, <doi:10.1007/0-387-29362-0_23>), 'edgeR' (Robinson et al., 2010, <doi:10.1093/bioinformatics/btp616>), 'DESeq2' (Love et al., 2014, <doi:10.1186/s13059-014-0550-8>), and Wilcoxon tests (Li et al., 2022, <doi:10. [...truncated...]
Imports: magrittr, stats, data.table, dplyr, rlang, tibble, sva, DESeq2, edgeR, limma, ggplot2, ggVennDiagram, ggdensity, ggpubr, ggtree, hrbrthemes, grid, ggraph, tidygraph, tidyr, stringr, geomtextpath, ggalt, ggnewscale, ggtreeExtra, Hmisc, circlize, graphics, spiralize, ComplexHeatmap, grDevices
Suggests: prettydoc, knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/SSSYDYSSS/TransProRBook
BugReports: https://github.com/SSSYDYSSS/TransProR/issues
LazyData: true
Depends: R (>= 4.3.0)
NeedsCompilation: no
Packaged: 2024-12-10 07:23:19 UTC; Yu
Author: Dongyue Yu [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-12-10 21:30:09 UTC

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New package opengraph with initial version 0.0.2
Package: opengraph
Title: Process Metadata from the Open Graph Protocol
Version: 0.0.2
Description: Social media sites often embed cards when links are shared, based on metadata in the 'Open Graph Protocol' (<https://ogp.me/>). This supports extracting that metadata from a website. It further allows for the creation of tags to add to a website to support the 'Open Graph Protocol' and provides a list of the standard tags and their required properties.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rvest
Suggests: spelling, testthat (>= 3.0.0)
URL: https://github.com/christopherkenny/opengraph, https://christophertkenny.com/opengraph/
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-10 02:28:25 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2024-12-10 21:20:01 UTC

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New package OncoDataSets with initial version 0.1.0
Package: OncoDataSets
Title: A Comprehensive Collection of Cancer Types and Cancer-Related Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Offers a rich collection of data focused on cancer research, covering survival rates, genetic studies, biomarkers, and epidemiological insights. Designed for researchers, analysts, and bioinformatics practitioners, the package includes datasets on various cancer types such as melanoma, leukemia, breast, ovarian, and lung cancer, among others. It aims to facilitate advanced research, analysis, and understanding of cancer epidemiology, genetics, and treatment outcomes.
License: GPL-3
URL: https://github.com/lightbluetitan/oncodatasets, https://lightbluetitan.github.io/oncodatasets/
BugReports: https://github.com/lightbluetitan/oncodatasets/issues
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-10 08:49:45 UTC; renzocrossi
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-12-10 21:30:17 UTC

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New package OhdsiShinyAppBuilder with initial version 1.0.0
Package: OhdsiShinyAppBuilder
Title: Viewing Observational Health Data Sciences and Informatics Results via 'shiny' Modules
Version: 1.0.0
Date: 2024-12-09
Maintainer: Jenna Reps <jreps@its.jnj.com>
Description: Users can build a single 'shiny' app for exploring population characterization, population-level causal effect estimation, and patient-level prediction results generated via the R analyses packages in 'HADES' (see <https://ohdsi.github.io/Hades/>). Learn more about 'OhdsiShinyAppBuilder' at <https://ohdsi.github.io/OhdsiShinyAppBuilder/>.
License: Apache License 2.0
VignetteBuilder: knitr
Depends: R (>= 3.3.0)
Imports: checkmate, DatabaseConnector, devtools, dplyr, ParallelLogger (>= 2.0.0), ResultModelManager (>= 0.4.0), rlang, shiny, shinydashboard, utils
Suggests: Eunomia, jsonlite, knitr, rmarkdown, testthat, markdown, remotes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-09 20:37:22 UTC; jreps
Author: Jenna Reps [aut, cre], Nathan Hall [aut], Josh Ide [aut], Jamie Gibert [aut]
Repository: CRAN
Date/Publication: 2024-12-10 21:10:11 UTC

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New package moonboot with initial version 0.9.1
Package: moonboot
Title: m-Out-of-n Bootstrap Functions
Version: 0.9.1
Date: 2024-12-09
Description: Functions and examples based on the m-out-of-n bootstrap suggested by Politis, D.N. and Romano, J.P. (1994) <doi:10.1214/aos/1176325770>. Additionally there are functions to estimate the scaling factor tau and the subsampling size m. For a detailed description and a full list of references, see Dalitz, C. and Lögler, F. (2024) <doi:10.48550/arXiv.2412.05032>.
License: BSD 2-clause License + file LICENSE
Encoding: UTF-8
Imports: methods (>= 4.1.2), stats (>= 4.1.2)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-12-09 11:59:34 UTC; dalitz
Author: Christoph Dalitz [aut, cre], Felix Loegler [aut]
Maintainer: Christoph Dalitz <christoph.dalitz@hs-niederrhein.de>
Repository: CRAN
Date/Publication: 2024-12-10 21:30:02 UTC

More information about moonboot at CRAN
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New package htsDegenerateR with initial version 0.1.0
Package: htsDegenerateR
Title: Degenerate Hierarchical Time Series Reconciliation
Version: 0.1.0
Description: Takes the MinT implementation of the 'hts'<https://cran.r-project.org/package=hts> package and adapts it to allow degenerate hierarchical structures. Instead of the "nodes" argument, this function takes an S matrix which is more versatile in the structures it allows. For a demo, see Steinmeister and Pauly (2024)<doi:10.15488/17729>. The MinT algorithm is based on Wickramasuriya et al. (2019)<doi:10.1080/01621459.2018.1448825>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: SparseM, methods, stats
Suggests: forecast, testthat, knitr, rmarkdown, covr
NeedsCompilation: no
Packaged: 2024-12-09 22:26:24 UTC; Louis
Author: Louis Steinmeister [aut, cre], Markus Pauly [aut]
Maintainer: Louis Steinmeister <louis.steinmeister@udo.edu>
Repository: CRAN
Date/Publication: 2024-12-10 21:10:02 UTC

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New package FAVA with initial version 1.0.7
Package: FAVA
Title: Quantify Compositional Variability Across Relative Abundance Vectors
Version: 1.0.7
Description: Implements the statistic FAVA, an Fst-based Assessment of Variability across vectors of relative Abundances, as well as a suite of helper functions which enable the visualization and statistical analysis of relative abundance data. The 'FAVA' R package accompanies the paper, “Quantifying compositional variability in microbial communities with FAVA” by Morrison, Xue, and Rosenberg (2024) <doi:10.1101/2024.07.03.601929>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://maikemorrison.github.io/FAVA/, https://maikemorrison.github.io/FAVA/articles/microbiome_tutorial.html
BugReports: https://github.com/MaikeMorrison/FAVA/issues
Imports: dplyr, ggplot2, rlang, tidyr, stringr
Suggests: patchwork (>= 1.2.0), rmarkdown, viridis, kableExtra, purrr, ape, gridExtra, phyloseq, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-09 20:42:35 UTC; maikem
Author: Maike Morrison [aut, cre, cph]
Maintainer: Maike Morrison <maikem@stanford.edu>
Repository: CRAN
Date/Publication: 2024-12-10 21:10:15 UTC

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New package dbi.table with initial version 1.0.1
Package: dbi.table
Title: Database Queries Using 'data.table' Syntax
Version: 1.0.1
Depends: data.table
Imports: DBI, bit64, dbplyr, methods, rlang, stringi, utils
Suggests: R.utils, RSQLite, duckdb, testthat (>= 3.0.0), knitr, rmarkdown
Description: Query database tables over a 'DBI' connection using 'data.table' syntax. Attach database schemas to the search path. Automatically merge using foreign key constraints.
License: MPL-2.0
URL: https://github.com/kjellpk/dbi.table
BugReports: https://github.com/kjellpk/dbi.table/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-09 13:46:57 UTC; kjellk
Author: Kjell P. Konis [aut, cre]
Maintainer: Kjell P. Konis <kjellk@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-10 21:30:05 UTC

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New package clc with initial version 1.0.0
Package: clc
Title: CORINE Land Cover Data and Styles
Version: 1.0.0
Description: Streamline the management, analysis, and visualization of CORINE Land Cover data. Addresses challenges associated with its classification system and related styles, such as color mappings and descriptive labels.
License: MIT + file LICENSE
URL: https://josesamos.github.io/clc/, https://github.com/josesamos/clc
BugReports: https://github.com/josesamos/clc/issues
Depends: R (>= 3.5)
Imports: gdalUtilities, ggplot2, rlang, RPostgres, sf, stats, terra, xml2
Suggests: knitr, mockery, purrr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-09 05:41:34 UTC; jsamos
Author: Jose Samos [aut, cre] , Universidad de Granada [cph]
Maintainer: Jose Samos <jsamos@ugr.es>
Repository: CRAN
Date/Publication: 2024-12-10 21:10:06 UTC

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New package IRISSeismic with initial version 1.6.7
Package: IRISSeismic
Version: 1.6.7
Title: Classes and Methods for Seismic Data Analysis
Depends: R (>= 3.1.0)
Imports: methods, pracma, RCurl, seismicRoll (>= 1.1.0), signal, stringr, XML, stats
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
Description: Provides classes and methods for seismic data analysis. The base classes and methods are inspired by the python code found in the 'ObsPy' python toolbox <https://github.com/obspy/obspy>. Additional classes and methods support data returned by web services provided by EarthScope. <https://service.earthscope.org/>.
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Packaged: 2024-12-10 01:29:54 UTC; gilliansharer
Author: Jonathan Callahan [aut], Rob Casey [aut], Gillian Sharer [aut, cre], Mary Templeton [aut], Chad Trabant [ctb]
Maintainer: Gillian Sharer <gillian.sharer@earthscope.org>
Date/Publication: 2024-12-10 08:30:12 UTC

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Mon, 09 Dec 2024

New package warehouseTools with initial version 0.1.2
Package: warehouseTools
Title: Heuristics for Solving the Traveling Salesman Problem in Warehouse Layouts
Version: 0.1.2
Description: Heuristic methods to solve the routing problems in a warehouse management. Package includes several heuristics such as the Midpoint, Return, S-Shape and Semi-Optimal Heuristics for designation of the picker’s route in order picking. The heuristics aim to provide the acceptable travel distances while considering warehouse layout constraints such as aisles and shelves. It also includes implementation of the COPRAS (COmplex PRoportional ASsessment) method for supporting selection of locations to be visited by the picker in shared storage systems. The package is designed to facilitate more efficient warehouse routing and logistics operations. see: Bartholdi, J. J., Hackman, S. T. (2019). "WAREHOUSE & DISTRIBUTION SCIENCE. Release 0.98.1." The Supply Chain & Logistics Institute. H. Milton Stewart School of Industrial and Systems Engineering. Georgia Institute of Technology. <https://www.warehouse-science.com/book/editions/wh-sci-0.98.1.pdf>.
Depends: R (>= 3.5.0)
License: GPL-3
Imports: dplyr,clusterSim
Suggests: graphics,testthat (>= 2.1.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-07 18:34:19 UTC; andrzej
Author: Andrzej Dudek [aut, cre] , Krzysztof Dmytrow [aut]
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Repository: CRAN
Date/Publication: 2024-12-09 19:50:02 UTC

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New package SBMTrees with initial version 1.1
Package: SBMTrees
Title: Sequential Imputation with Bayesian Trees Mixed-Effects Models for Longitudinal Data
Version: 1.1
Date: 2024-11-20
Author: Jungang Zou [aut, cre], Liangyuan Hu [aut], Robert McCulloch [ctb], Rodney Sparapani [ctb], Charles Spanbauer [ctb]
Maintainer: Jungang Zou <jungang.zou@gmail.com>
Description: Implements a sequential imputation framework using Bayesian Mixed-Effects Trees ('SBMTrees') for handling missing data in longitudinal studies. The package supports a variety of models, including non-linear relationships and non-normal random effects and residuals, leveraging Dirichlet Process priors for increased flexibility. Key features include handling Missing at Random (MAR) longitudinal data, imputation of both covariates and outcomes, and generating posterior predictive samples for further analysis. The methodology is designed for applications in epidemiology, biostatistics, and other fields requiring robust handling of missing data in longitudinal settings.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, lme4, Matrix, arm, dplyr, mvtnorm, sn, tidyr, mice, nnet
LinkingTo: Rcpp, RcppArmadillo, RcppDist, RcppProgress
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, mitml
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-08 07:36:54 UTC; jz3138
Repository: CRAN
Date/Publication: 2024-12-09 20:00:02 UTC

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New package paramix with initial version 0.0.1
Package: paramix
Title: Aggregate and Disaggregate Continuous Parameters for Compartmental Models
Version: 0.0.1
Description: A convenient framework for aggregating and disaggregating continuously varying parameters (for example, case fatality ratio, with age) for proper parametrization of lower-resolution compartmental models (for example, with broad age categories) and subsequent upscaling of model outputs to high resolution (for example, as needed when calculating age-sensitive measures like years-life-lost).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: lintr, knitr, rmarkdown, ggplot2, roxygen2, wpp2019, testthat (>= 3.0.0), patchwork
VignetteBuilder: knitr
Imports: data.table
URL: https://cmmid.github.io/paramix/
NeedsCompilation: no
Packaged: 2024-12-06 20:06:24 UTC; holism
Author: Carl Pearson [aut, cre] , Simon Proctor [aut] , Lucy Goodfellow [aut]
Maintainer: Carl Pearson <carl.ab.pearson@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-09 19:30:02 UTC

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New package iClusterVB with initial version 0.1.4
Package: iClusterVB
Title: Fast Integrative Clustering and Feature Selection for High Dimensional Data
Version: 0.1.4
Author: Abdalkarim Alnajjar [aut, cre, cph] , Zihang Lu [aut]
Maintainer: Abdalkarim Alnajjar <abdalkarim.alnajjar@queensu.ca>
Description: A variational Bayesian approach for fast integrative clustering and feature selection, facilitating the analysis of multi-view, mixed type, high-dimensional datasets with applications in fields like cancer research, genomics, and more.
License: MIT + file LICENSE
URL: https://github.com/AbdalkarimA/iClusterVB
BugReports: https://github.com/AbdalkarimA/iClusterVB/issues
Depends: R (>= 4.0.0)
Imports: cluster, clustMixType, cowplot, ggplot2, graphics, grDevices, mclust, MCMCpack, mvtnorm, pheatmap, poLCA, Rcpp (>= 1.0.12), stats, utils, VarSelLCM
Suggests: knitr, rmarkdown, survival, survminer
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-07 22:15:58 UTC; Abdalkarim
Repository: CRAN
Date/Publication: 2024-12-09 19:50:06 UTC

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New package gg1d with initial version 0.1.0
Package: gg1d
Title: Exploratory Data Analysis using Tiled One-Dimensional Graphics
Version: 0.1.0
Description: Streamlines exploratory data analysis by providing a turnkey approach to visualising n-dimensional data which graphically reveals correlative or associative relationships between 2 or more features. Represents all dataset features as distinct, vertically aligned bar or tile plots, with plot types auto-selected based on whether variables are categorical or numeric.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/selkamand/gg1d, https://selkamand.github.io/gg1d/
BugReports: https://github.com/selkamand/gg1d/issues
Imports: assertions (>= 0.2.0), cli, ggiraph, ggplot2, ggtext, patchwork (>= 1.3.0), rank (>= 0.1.1), rlang
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-07 01:39:11 UTC; selkamand
Author: Sam El-Kamand [aut, cre] , Children's Cancer Institute Australia [cph]
Maintainer: Sam El-Kamand <sam.elkamand@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-09 19:40:02 UTC

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New package AuxSurvey with initial version 0.9
Package: AuxSurvey
Title: Survey Analysis with Auxiliary Discretized Variables
Version: 0.9
Author: Jungang Zou [aut, cre], Yutao Liu [aut], Sharifa Williams [aut], Qixuan Chen [aut]
Maintainer: Jungang Zou <jungang.zou@gmail.com>
Description: Probability surveys often use auxiliary continuous data from administrative records, but the utility of this data is diminished when it is discretized for confidentiality. We provide a set of survey estimators to make full use of information from the discretized variables. See Williams, S.Z., Zou, J., Liu, Y., Si, Y., Galea, S. and Chen, Q. (2024) <doi:10.1002/sim.10270> for details.
Encoding: UTF-8
Depends: mgcv, rstanarm, stats
Imports: survey, gtools, coda, BART, dplyr, stringr, gridExtra, rlang
License: Apache License (>= 2)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-08 22:34:57 UTC; zoujungang
Repository: CRAN
Date/Publication: 2024-12-09 20:00:06 UTC

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New package tugboat with initial version 0.1.0
Package: tugboat
Title: Build a Docker Image from a Directory or Project
Version: 0.1.0
Description: Simple utilities to generate a Dockerfile from a directory or project, build the corresponding Docker image, and push the image to DockerHub.
Imports: dockerfiler (>= 0.2.2), here, renv (>= 1.0.0)
Suggests: yaml, rmarkdown, testthat (>= 3.0.0)
License: GPL (>= 3)
Encoding: UTF-8
URL: https://www.dmolitor.com/tugboat/
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-06 17:40:33 UTC; dmolitor
Author: Daniel Molitor [aut, cph, cre]
Maintainer: Daniel Molitor <molitdj97@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-09 13:40:02 UTC

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New package tinylens with initial version 0.1.0
Package: tinylens
Title: Minimal Implementation of Functional Lenses
Version: 0.1.0
Description: Provides utilities to create and use lenses to simplify data manipulation. Lenses are composable getter/setter pairs that provide a functional approach to manipulating deeply nested data structures, e.g., elements within list columns in data frames. The implementation is based on the earlier 'lenses' R package <https://github.com/cfhammill/lenses>, which was inspired by the Haskell 'lens' package by Kmett (2012) <https://github.com/ekmett/lens>, one of the most widely referenced implementations of lenses. For additional background and history on the theory of lenses, see the 'lens' package wiki: <https://github.com/ekmett/lens/wiki/History-of-Lenses>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rlang, S7, vctrs
Suggests: tidyselect, tinytest
URL: https://github.com/arbelt/tinylens
BugReports: https://github.com/arbelt/tinylens/issues
NeedsCompilation: no
Packaged: 2024-12-06 15:27:24 UTC; albert
Author: Albert Wang [aut, cre, cph]
Maintainer: Albert Wang <albert_z_wang@harvard.edu>
Repository: CRAN
Date/Publication: 2024-12-09 13:30:02 UTC

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New package surveynnet with initial version 1.0.0
Package: surveynnet
Title: Neural Network for Complex Survey Data
Version: 1.0.0
Description: The goal of 'surveynnet' is to extend the functionality of 'nnet', which already supports survey weights, by enabling it to handle clustered and stratified data. It achieves this by incorporating design effects through the use of effective sample sizes as outlined by Chen and Rust (2017), <doi:10.1093/jssam/smw036>, and performed by 'deffCR' in the package 'PracTools' (Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/237triangle/surveynnet
BugReports: https://github.com/237triangle/surveynnet/issues
Imports: dplyr, nnet, PracTools, stats, survey, survival
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-06 18:16:37 UTC; aaroncohen
Author: Aaron Cohen [aut, cre] , Raul Cruz-Cano [aut]
Maintainer: Aaron Cohen <cohenaa@iu.edu>
Repository: CRAN
Date/Publication: 2024-12-09 13:40:05 UTC

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New package FlexRL with initial version 0.1.0
Package: FlexRL
Title: A Flexible Model for Record Linkage
Version: 0.1.0
Description: Implementation of the Stochastic Expectation Maximisation (StEM) approach to Record Linkage described in the paper by K. Robach, S. L. van der Pas, M. A. van de Wiel and M. H. Hof (2024, <doi:10.48550/arXiv.2407.06835>); see 'citation("FlexRL")' for details. This is a record linkage method, for finding the common set of records among 2 data sources based on Partially Identifying Variables (PIVs) available in both sources. It includes modelling of dynamic Partially Identifying Variables (e.g. postal code) that may evolve over time and registration errors (missing values and mistakes in the registration). Low memory footprint.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: Matrix (>= 1.7), progress(>= 1.2.3), testit(>= 0.13), Rcpp(>= 1.0.13)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-06 12:59:19 UTC; kayane
Author: Kayane ROBACH [aut, cre, cph]
Maintainer: Kayane ROBACH <k.c.robach@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2024-12-09 13:20:02 UTC

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New package multimolang with initial version 0.1.1
Package: multimolang
Title: 'multimolang': Multimodal Language Analysis
Version: 0.1.1
Description: Process 'OpenPose' human body keypoints for computer vision, including data structuring and user-defined linear transformations for standardization. It optionally, includes metadata extraction from filenames in the UCLA 'NewsScape' archive.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: arrow
Suggests: roxygen2 (>= 7.0.0), testthat (>= 3.0.0), knitr, rmarkdown, spelling
URL: https://github.com/daedalusLAB/multimolang
BugReports: https://github.com/daedalusLAB/multimolang/issues
VignetteBuilder: knitr
Copyright: Copyright (C) 2024 Universidad de Murcia
Language: en-US
NeedsCompilation: no
Packaged: 2024-12-05 23:57:13 UTC; bherreno
Author: Brian Herreno Jimenez [aut, cre]
Maintainer: Brian Herreno Jimenez <brian.herreno@um.es>
Repository: CRAN
Date/Publication: 2024-12-09 10:40:02 UTC

More information about multimolang at CRAN
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