CRANberries

Tue, 06 Jun 2023

New package CSTools with initial version 5.0.1
Package: CSTools
Title: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales
Version: 5.0.1
Description: Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. This package was developed in the context of the 'ERA4CS' project 'MEDSCOPE' and the 'H2020 S2S4E' project and includes contributions from 'ArticXchange' project founded by 'EU-PolarNet 2'. 'Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>'. 'Doblas-Reyes et al. (2005) <doi:10.1111/j.1600-0870.2005.00104.x>'. 'Mishra et al. (2018) <doi:10.1007/s00382-018-4404-z>'. 'Sanchez-Garcia et al. (2019) <doi:10.5194/asr-16-165-2019>'. 'Straus et al. (2007) <doi:10.1175/JCLI4070.1>'. 'Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>'. 'Torralba et al. (2017) <doi:10.1175/JAMC-D- [...truncated...]
Depends: R (>= 3.5.0), maps, qmap, easyVerification
Imports: s2dv, rainfarmr, multiApply (>= 2.1.1), ClimProjDiags, ncdf4, plyr, abind, data.table, reshape2, ggplot2, RColorBrewer, graphics, grDevices, stats, utils, verification, lubridate, scales
Suggests: zeallot, testthat, knitr, markdown, rmarkdown, startR
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2023-06-06 13:39:32 UTC; erifarov
Author: Nuria Perez-Zanon [aut] , Louis-Philippe Caron [aut] , Carmen Alvarez-Castro [aut] , Lauriane Batte [aut], Carlos Delgado [aut], Jost von Hardenberg [aut] , Llorenc LLedo [aut], Nicolau Manubens [aut], Lluis Palma [aut], Eroteida Sanchez-Garcia [aut] [...truncated...]
Maintainer: Eva Rifa <eva.rifarovira@bsc.es>
Repository: CRAN
Date/Publication: 2023-06-06 14:10:05 UTC

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New package startR with initial version 2.2.3
Package: startR
Title: Automatically Retrieve Multidimensional Distributed Data Sets
Version: 2.2.3
Description: Tool to automatically fetch, transform and arrange subsets of multi- dimensional data sets (collections of files) stored in local and/or remote file systems or servers, using multicore capabilities where possible. The tool provides an interface to perceive a collection of data sets as a single large multidimensional data array, and enables the user to request for automatic retrieval, processing and arrangement of subsets of the large array. Wrapper functions to add support for custom file formats can be plugged in/out, making the tool suitable for any research field where large multidimensional data sets are involved.
Depends: R (>= 3.6.0)
Imports: abind, bigmemory, future, multiApply (>= 2.1.0), parallel, easyNCDF, s2dv, ClimProjDiags, PCICt, methods
Suggests: stats, utils, testthat
License: GPL-3
URL: https://earth.bsc.es/gitlab/es/startR/
BugReports: https://earth.bsc.es/gitlab/es/startR/-/issues
SystemRequirements: cdo ecFlow
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-06-06 09:02:16 UTC; aho
Author: Nicolau Manubens [aut], An-Chi Ho [aut, cre], Nuria Perez-Zanon [aut] , Javier Vegas [ctb], Pierre-Antoine Bretonniere [ctb], Roberto Serrano [ctb], Eva Rifa [ctb], BSC-CNS [aut, cph]
Maintainer: An-Chi Ho <an.ho@bsc.es>
Repository: CRAN
Date/Publication: 2023-06-06 12:10:05 UTC

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New package flow with initial version 0.2.0
Package: flow
Title: View and Browse Code Using Flow Diagrams
Version: 0.2.0
Description: Visualize as flow diagrams the logic of functions, expressions or scripts in a static way or when running a call, visualize the dependencies between functions or between modules in a shiny app, and more.
License: MIT + file LICENSE
URL: https://github.com/moodymudskipper/flow, https://moodymudskipper.github.io/flow/
BugReports: https://github.com/moodymudskipper/flow/issues
Encoding: UTF-8
Imports: nomnoml, utils, htmlwidgets, rstudioapi, webshot, styler, methods, here, lifecycle
Suggests: testthat (>= 3.0.0), covr, knitr, rmarkdown, esquisse, tidyselect, purrr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-06-06 11:47:40 UTC; Antoine
Author: Antoine Fabri [aut, cre]
Maintainer: Antoine Fabri <antoine.fabri@gmail.com>
Repository: CRAN
Date/Publication: 2023-06-06 12:40:02 UTC

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New package PReMiuM with initial version 3.2.9
Package: PReMiuM
Title: Dirichlet Process Bayesian Clustering, Profile Regression
Version: 3.2.9
Author: David I. Hastie, Silvia Liverani <liveranis@gmail.com> and Sylvia Richardson with contributions from Aurore J. Lavigne, Lucy Leigh, Lamiae Azizi, Xi Liu, Ruizhu Huang, Austin Gratton, Wei Jing
Maintainer: Silvia Liverani <liveranis@gmail.com>
Description: Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically linking a response vector to covariate data through cluster membership. The package allows Bernoulli, Binomial, Poisson, Normal, survival and categorical response, as well as Normal and discrete covariates. It also allows for fixed effects in the response model, where a spatial CAR (conditional autoregressive) term can be also included. Additionally, predictions may be made for the response, and missing values for the covariates are handled. Several samplers and label switching moves are implemented along with diagnostic tools to assess convergence. A number of R functions for post-processing of the output are also provided. In addition to fitting mixtures, it may additionally be of interest to determine which covariates actively drive the mixture components. This is implemented in the package as variable selection. The main reference for the package is Liv [...truncated...]
URL: https://www.silvialiverani.com/software/
License: GPL-2
LazyLoad: yes
Depends: R (>= 3.5.1)
Imports: Rcpp (>= 0.12.13), ggplot2 (>= 2.2), cluster, plotrix (>= 3.6-6), gamlss.dist (>= 4.3-1), data.table (>= 1.10.4-3), spdep (>= 0.7-7), sf (>= 1.0-8)
Suggests: testthat (>= 1.0.2)
LinkingTo: Rcpp, RcppEigen (>= 0.3.3.3.0), BH (>= 1.65.0-1)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2023-06-06 08:05:27 UTC; root
Repository: CRAN
Date/Publication: 2023-06-06 11:20:02 UTC

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New package ggtern with initial version 3.4.2
Package: ggtern
Version: 3.4.2
Date: 2023-6-6
Title: An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Description: Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website.
Author: Nicholas Hamilton [aut, cre]
Maintainer: Nicholas Hamilton <nick@ggtern.com>
Depends: R (>= 4.0), ggplot2 (>= 3.4.0)
Imports: compositions (>= 2.0-2), grid, gridExtra (>= 2.3), gtable (>= 0.1.2), latex2exp (>= 0.5), MASS, plyr (>= 1.8.3), scales (>= 0.3.0), stats, proto (>= 1.0), utils, lattice, hexbin (>= 1.28.2), methods
Enhances: sp
License: GPL-2 | file LICENSE
Encoding: UTF-8
URL: http://www.ggtern.com
NeedsCompilation: no
Repository: CRAN
Packaged: 2023-06-06 08:51:03 UTC; nick
Date/Publication: 2023-06-06 11:10:02 UTC

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New package WeibullR.learnr with initial version 0.1.1
Package: WeibullR.learnr
Title: An Interactive Introduction to Life Data Analysis
Version: 0.1.1
URL: https://paulgovan.github.io/WeibullR.learnr/
BugReports: https://github.com/paulgovan/weibullr.learnr/issues
Description: An interactive introduction to Life Data Analysis that depends on 'WeibullR' by David Silkworth and Jurgen Symynck (2022) <https://CRAN.R-project.org/package=WeibullR>, a R package for Weibull Analysis, and 'learnr' by Garrick Aden-Buie et al. (2023) <https://CRAN.R-project.org/package=learnr>, a framework for building interactive learning modules in R.
Imports: learnr, WeibullR
License: Apache License
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-06-05 20:03:50 UTC; paulgovan
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <pgovan1@aggienetwork.com>
Repository: CRAN
Date/Publication: 2023-06-06 07:50:06 UTC

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New package scicomptools with initial version 1.0.0
Package: scicomptools
Title: Tools Developed by the NCEAS Scientific Computing Support Team
Version: 1.0.0
Maintainer: Angel Chen <anchen@nceas.ucsb.edu>
Description: Set of tools to import, summarize, wrangle, and visualize data. These functions were originally written based on the needs of the various synthesis working groups that were supported by the National Center for Ecological Analysis and Synthesis (NCEAS). These tools are meant to be useful inside and outside of the context for which they were designed.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/NCEAS/scicomptools
BugReports: https://github.com/NCEAS/scicomptools/issues
VignetteBuilder: knitr
Imports: data.tree, dplyr, gitcreds, googledrive, ggplot2, ggwordcloud, magrittr, methods, purrr, readxl, stringr, SemNetCleaner, tibble, tidyr, tidytext, tidyxl
Suggests: knitr, nlme, rmarkdown, RRPP
NeedsCompilation: no
Packaged: 2023-06-05 17:06:29 UTC; chen
Author: Julien Brun [aut] , Angel Chen [aut, cre] , Gabriel Antunes Daldegan [aut] , Gabe De La Rosa [ctb] , Kara Koenig [aut] , Nicholas J Lyon [aut] , Kendall Miller [aut], Timothy D Nguyen [aut] , National Science Foundation [fnd] , University of Californ [...truncated...]
Repository: CRAN
Date/Publication: 2023-06-06 07:40:02 UTC

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New package REDCapCAST with initial version 23.6.1
Package: REDCapCAST
Title: REDCap Castellated Data Handling
Version: 23.6.1
Description: Forked from 'REDCapRITS' by Paul Egeler and Spectrum Health. See <https://github.com/SpectrumHealthResearch/REDCapRITS>. Handles castellated datasets from 'REDCap' projects with repeating instruments. Assists in casting tidy tables from raw 'REDCap' data exports for each repeated instrument. Keeps a focused data export approach, by allowing to only export required data from the database. 'REDCap' (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208>).
Depends: R (>= 3.4.0)
Suggests: spelling, RCurl, httr, jsonlite, testthat, Hmisc, readr, covr, knitr, rmarkdown, gt, keyring
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/agdamsbo/REDCapCAST
BugReports: https://github.com/agdamsbo/REDCapCAST/issues
Imports: dplyr, REDCapR, tidyr, tidyselect
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-06-05 06:44:37 UTC; au301842
Author: Andreas Gammelgaard Damsbo [aut, cre] , Paul Egeler [aut]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>
Repository: CRAN
Date/Publication: 2023-06-06 07:10:02 UTC

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New package moderate.mediation with initial version 0.0.5
Package: moderate.mediation
Version: 0.0.5
Date: 2023-05-30
Title: Causal Moderated Mediation Analysis
Maintainer: Xu Qin <xuqin@pitt.edu>
Depends: R (>= 3.5.0)
Imports: stats, mvtnorm, cowplot, distr, graphics, ggplot2, reshape2, doSNOW, scales, foreach, earth
Description: Causal moderated mediation analysis using the methods proposed by Qin and Wang (2022). Causal moderated mediation analysis is crucial for investigating how, for whom, and where a treatment is effective by assessing the heterogeneity of mediation mechanism across individuals and contexts. This package enables researchers to estimate and test the conditional and moderated mediation effects, assess their sensitivity to unmeasured pre-treatment confounding, and visualize the results. The package is built based on the quasi-Bayesian Monte Carlo method, because it has relatively better performance at small sample sizes, and its running speed is the fastest. The package is applicable to a treatment of any scale, a binary or continuous mediator, a binary or continuous outcome, and one or more moderators of any scale.
License: GPL-2
NeedsCompilation: no
Packaged: 2023-06-05 14:02:58 UTC; XUQIN
Author: Xu Qin [aut, cre, cph], Lijuan Wang [ctb]
Repository: CRAN
Date/Publication: 2023-06-06 07:50:02 UTC

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New package locateip with initial version 0.1.2
Package: locateip
Title: Locate IP Addresses with 'ip-api'
Version: 0.1.2
Description: Download Internet Protocol (IP) address location and more from the 'ip-api' application programming interface (API) <https://ip-api.com/>. The package makes it easy to get the latitude, longitude, country, region, and organisation associated to the provided IP address. The information is conveniently returned in a rectangular format.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr2, lifecycle, readr, stringr, tibble, utils
Suggests: covr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-06-05 19:01:30 UTC; judithbourque
Author: Judith Bourque [aut, cre, cph]
Maintainer: Judith Bourque <judith.bourque.2@ulaval.ca>
Repository: CRAN
Date/Publication: 2023-06-06 07:40:05 UTC

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New package constructive with initial version 0.1.0
Package: constructive
Title: Display Idiomatic Code to Construct Most R Objects
Version: 0.1.0
Description: Prints code that can be used to recreate R objects. In a sense it is similar to 'base::dput()' or 'base::deparse()' but 'constructive' strives to use idiomatic constructors.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, diffobj, ellipsis, rlang (>= 1.0.0), roxygen2, styler, waldo, methods
Suggests: dm, pixarfilms, testthat (>= 3.0.0), dplyr, data.table, vctrs, tibble, prettycode, tidyselect, lubridate, forcats, knitr, rmarkdown, sf, ggplot2, scales
URL: https://github.com/cynkra/constructive, https://cynkra.github.io/constructive/
BugReports: https://github.com/cynkra/constructive/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-06-05 15:47:06 UTC; Antoine
Author: Antoine Fabri [aut, cre]
Maintainer: Antoine Fabri <antoine.fabri@gmail.com>
Repository: CRAN
Date/Publication: 2023-06-06 07:40:09 UTC

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New package ami with initial version 0.1.0
Package: ami
Title: Checks for Various Computing Environments
Version: 0.1.0
Description: A collection of lightweight functions that can be used to determine the computing environment in which your code is running. This includes operating systems, continuous integration (CI) environments, containers, and more.
License: MIT + file LICENSE
Imports: curl, glue, lifecycle, rlang, rstudioapi
Suggests: config, covr, testthat (>= 3.0.0), withr
Encoding: UTF-8
URL: https://github.com/briandconnelly/ami, https://briandconnelly.github.io/ami/
BugReports: https://github.com/briandconnelly/ami/issues
NeedsCompilation: no
Packaged: 2023-06-05 14:44:07 UTC; bconnelly
Author: Brian Connelly [aut, cre, cph]
Maintainer: Brian Connelly <bdc@bconnelly.net>
Repository: CRAN
Date/Publication: 2023-06-06 07:40:13 UTC

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New package rtms with initial version 0.2.0
Package: rtms
Title: R Toolkit for Mass Spectrometry
Version: 0.2.0
Description: Quickly imports, processes, analyzes, and visualizes mass-spectrometric data. Includes functions for easily extracting specific data and measurements from large (multi-gigabyte) raw Bruker data files, as well as a set of S3 object classes for manipulating and measuring mass spectrometric peaks and plotting peaks and spectra using the 'ggplot2' package.
Imports: stats, ggplot2
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2023-06-04 13:35:07 UTC; ntwarog
Author: Mary Ashley Rimmer [aut], Nathaniel Twarog [aut, cre]
Maintainer: Nathaniel Twarog <nathaniel.twarog@stjude.org>
Repository: CRAN
Date/Publication: 2023-06-06 07:00:02 UTC

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New package RcppJagger with initial version 0.0.1
Package: RcppJagger
Title: An R Wrapper for Jagger
Version: 0.0.1
Description: A wrapper for Jagger, a morphological analyzer proposed in Yoshinaga (2023) <arXiv:2305.19045>. Jagger uses patterns derived from morphological dictionaries and training data sets and applies them from the beginning of the input. This simultaneous and deterministic process enables it to effectively perform tokenization, POS tagging, and lemmatization.
License: GPL-2
Depends: R (>= 4.0)
Encoding: UTF-8
SystemRequirements: C++17
URL: https://shusei-e.github.io/RcppJagger/, https://www.tkl.iis.u-tokyo.ac.jp/~ynaga/jagger/index.en.html
BugReports: https://github.com/Shusei-E/RcppJagger/issues
LinkingTo: Rcpp
Imports: cli (>= 3.6.1), purrr (>= 1.0.0), Rcpp (>= 1.0.7), rlang (>= 1.1.0)
Suggests: dplyr (>= 1.1.0), testthat (>= 3.1.5), tibble
LazyData: TRUE
NeedsCompilation: yes
Packaged: 2023-06-04 13:28:58 UTC; shusei
Author: Shusei Eshima [aut, cre] , Naoki Yoshinaga [ctb]
Maintainer: Shusei Eshima <shuseieshima@gmail.com>
Repository: CRAN
Date/Publication: 2023-06-06 07:00:06 UTC

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Mon, 05 Jun 2023

New package posologyr with initial version 1.2.1
Package: posologyr
Title: Individual Dose Optimization using Population Pharmacokinetics
Version: 1.2.1
Description: Determine individual pharmacokinetic (and pharmacokinetic-pharmacodynamic) profiles and use them to personalise drug regimens. You provide the data and a population pharmacokinetic model, 'posologyr' provides the individual a posteriori estimate and allows you to determine the optimal dosing. The empirical Bayes estimates are computed as described in Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: rxode2, stats, mvtnorm, data.table
Suggests: lotri, knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, magrittr, tidyr
URL: https://levenc.github.io/posologyr/, https://github.com/levenc/posologyr
BugReports: https://github.com/levenc/posologyr/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-06-02 22:54:44 UTC; cyril
Author: Cyril Leven [aut, cre, cph] , Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb]
Maintainer: Cyril Leven <cyril.leven@chu-brest.fr>
Repository: CRAN
Date/Publication: 2023-06-05 08:40:02 UTC

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New package gptzeror with initial version 0.0.1
Package: gptzeror
Title: Identify Text Written by Large Language Models using 'GPTZero'
Version: 0.0.1
Description: An R interface to the 'GPTZero' API (<https://gptzero.me/docs>). Allows users to classify text into human and computer written with probabilities. Formats the data into data frames where each sentence is an observation. Paragraph-level and document-level predictions are organized to align with the sentences.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/christopherkenny/gptzeror, https://christophertkenny.com/gptzeror/
BugReports: https://github.com/christopherkenny/gptzeror/issues
Imports: cli, curl, dplyr, httr2, lifecycle, tidyr
Suggests: httptest2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-06-02 17:05:39 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2023-06-05 08:30:02 UTC

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New package DemoKin with initial version 1.0.3
Package: DemoKin
Title: Estimate Population Kin Distribution
Description: Estimate population kin counts and its distribution by type, age and sex. The package implements one-sex and two-sex framework for studying living-death availability, with time varying rates or not, and multi-stage model.
Version: 1.0.3
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2
VignetteBuilder: knitr
Imports: dplyr, tidyr, purrr, progress, matrixcalc, Matrix, MASS, stats, igraph, magrittr, data.table, lifecycle
URL: https://github.com/IvanWilli/DemoKin
BugReports: https://github.com/IvanWilli/DemoKin/issues
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-06-04 13:21:54 UTC; User
Author: Ivan Williams [cre], Diego Alburez-Gutierrez [aut], Xi Song [ctb], Caswell Hal [ctb]
Maintainer: Ivan Williams <act.ivanwilliams@gmail.com>
Repository: CRAN
Date/Publication: 2023-06-05 09:00:02 UTC

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Sun, 04 Jun 2023

New package EpiSemble with initial version 0.1.1
Package: EpiSemble
Title: Ensemble Based Machine Learning Approach for Predicting Methylation States
Version: 0.1.1
Author: Dipro Sinha [aut, cre], Sunil Archak [aut], Dwijesh Chandra Mishra [aut], Tanwy Dasmandal [aut], Md Yeasin [aut]
Maintainer: Dipro Sinha <diprosinha@gmail.com>
Description: DNA methylation (6mA) is a major epigenetic process by which alteration in gene expression took place without changing the DNA sequence. Predicting these sites in-vitro is laborious, time consuming as well as costly. This 'EpiSemble' package is an in-silico pipeline for predicting DNA sequences containing the 6mA sites. It uses an ensemble-based machine learning approach by combining Support Vector Machine (SVM), Random Forest (RF) and Gradient Boosting approach to predict the sequences with 6mA sites in it. This package has been developed by using the concept of Chen et al. (2019) <doi:10.1093/bioinformatics/btz015>.
License: GPL-3
Encoding: UTF-8
Imports: stats, devtools, tidyverse, seqinr, Biostrings, splitstackshape, entropy, party, stringr, tibble, doParallel, parallel, e1071, caret, randomForest, gbm, foreach, ftrCOOL, iterators
NeedsCompilation: no
Packaged: 2023-06-02 16:06:43 UTC; YEASIN
Repository: CRAN
Date/Publication: 2023-06-04 14:20:02 UTC

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New package squat with initial version 0.2.0
Package: squat
Title: Statistics for Quaternion Temporal Data
Version: 0.2.0
Description: An implementation of statistical tools for the analysis of rotation-valued time series and functional data. It relies on pre-existing quaternion data structure provided by the 'Eigen' 'C++' library.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, fdacluster
Imports: cli, dbscan, dtw, fdacluster, funData, furrr, ggplot2, ggrepel, MFPCA, progressr, purrr, Rcpp, rlang, roahd, scales, tibble, tidyr
Depends: R (>= 4.1.0)
Suggests: covr, future, gganimate, gghighlight, testthat (>= 3.0.0), vdiffr, withr
URL: https://github.com/LMJL-Alea/squat, https://lmjl-alea.github.io/squat/
BugReports: https://github.com/LMJL-Alea/squat/issues
NeedsCompilation: yes
Packaged: 2023-06-02 16:30:52 UTC; stamm-a
Author: Lise Bellanger [aut], Pierre Drouin [aut], Aymeric Stamm [aut, cre] , Benjamin Martineau [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>
Repository: CRAN
Date/Publication: 2023-06-04 13:00:02 UTC

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New package s2dv with initial version 1.4.1
Package: s2dv
Title: A Set of Common Tools for Seasonal to Decadal Verification
Version: 1.4.1
Description: The advanced version of package 's2dverification'. It is intended for 'seasonal to decadal' (s2d) climate forecast verification, but it can also be used in other kinds of forecasts or general climate analysis. This package is specially designed for the comparison between the experimental and observational datasets. The functionality of the included functions covers from data retrieval, data post-processing, skill scores against observation, to visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility. The CDO version used in development is 1.9.8.
Depends: R (>= 3.6.0)
Imports: abind, bigmemory, graphics, grDevices, maps, mapproj, methods, parallel, ClimProjDiags, stats, plyr, ncdf4, NbClust, multiApply (>= 2.1.1), SpecsVerification (>= 0.5.0), easyNCDF, easyVerification
Suggests: testthat
License: GPL-3
URL: https://earth.bsc.es/gitlab/es/s2dv/
BugReports: https://earth.bsc.es/gitlab/es/s2dv/-/issues
LazyData: true
SystemRequirements: cdo
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-06-02 19:16:21 UTC; aho
Author: BSC-CNS [aut, cph], An-Chi Ho [aut, cre], Nuria Perez-Zanon [aut], Roberto Bilbao [ctb], Josep Cos [ctb], Carlos Delgado [ctb], Llorenc Lledo [ctb], Andrea Manrique [ctb], Deborah Verfaillie [ctb], Eva Rifa [ctb]
Maintainer: An-Chi Ho <an.ho@bsc.es>
Repository: CRAN
Date/Publication: 2023-06-04 12:20:02 UTC

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Sat, 03 Jun 2023

New package waspasR with initial version 0.1.5
Package: waspasR
Title: Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria Decision Analysis Solution
Version: 0.1.5
Maintainer: Flavio Barbara <flavio.barbara@gmail.com>
Description: Provides a set of functions to implement decision-making systems based on the W.A.S.P.A.S. method (Weighted Aggregated Sum Product Assessment), Chakraborty and Zavadskas (2012) <doi:10.5755/j01.eee.122.6.1810>. So this package offers functions that analyze and validate the raw data, which must be entered in a determined format; extract specific vectors and matrices from this raw database; normalize the input data; calculate rankings by intermediate methods; apply the lambda parameter for the main method; and a function that does everything at once. The package has an example database called choppers, with which the user can see how the input data should be organized so that everything works as recommended by the decision methods based on multiple criteria that this package solves. Basically, the data are composed of a set of alternatives, which will be ranked, a set of choice criteria, a matrix of values for each Alternative-Criterion relationship, a vector of weights associated [...truncated...]
License: GPL (>= 2)
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-06-01 14:35:18 UTC; flavio
Author: Flavio Barbara [cre, aut], Marcos Santos [ctb]
Repository: CRAN
Date/Publication: 2023-06-03 06:40:02 UTC

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Fri, 02 Jun 2023

New package robmedExtra with initial version 0.1.0
Package: robmedExtra
Title: Extra Functionality for (Robust) Mediation Analysis
Version: 0.1.0
Date: 2023-06-02
Depends: robmed (>= 0.10.0)
Imports: shiny (>= 1.1.0), DT, flextable (>= 0.8.3), ggplot2 (>= 3.3.0), graphics, grDevices, officer, stats, utils
Description: This companion package extends the package 'robmed' (Alfons, Ates & Groenen, 2022b; <doi:10.18637/jss.v103.i13>) in various ways. Most notably, it provides a graphical user interface for the robust bootstrap test ROBMED (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>) to make the method more accessible to less proficient 'R' users, as well as functions to export the results as a table in a 'Microsoft Word' or 'Microsoft Powerpoint' document, or as a 'LaTeX' table. Furthermore, the package contains a 'shiny' app to compare various bootstrap procedures for mediation analysis on simulated data.
License: GPL (>= 3)
URL: https://github.com/aalfons/robmedExtra
BugReports: https://github.com/aalfons/robmedExtra/issues
Author: Andreas Alfons [aut, cre] , Aurore Archimbaud [aut] , Vincent Drenth [aut]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-06-02 10:15:58 UTC; andreas
Repository: CRAN
Date/Publication: 2023-06-02 14:40:02 UTC

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New package PaRe with initial version 0.1.6
Package: PaRe
Title: A Way to Perform Code Review or QA on Other Packages
Version: 0.1.6
Language: en-US
Description: Reviews other packages during code review by looking at their dependencies, code style, code complexity, and how internally defined functions interact with one another.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: cli, cyclocomp, desc, DiagrammeR, DiagrammeRsvg, dplyr, glue, lintr, magrittr, pak, rmarkdown, rsvg, stringr, igraph, utils, R6, git2r, checkmate
Suggests: ggplot2, plotly, ggraph, DT, magick, withr, cowplot, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-06-01 12:52:15 UTC; mvankessel
Author: Maarten van Kessel [aut, cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>
Repository: CRAN
Date/Publication: 2023-06-02 14:20:02 UTC

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New package ineq.2d with initial version 0.1.0
Package: ineq.2d
Title: Two-Dimensional Decomposition of the Theil Index and the Squared Coefficient of Variation
Version: 0.1.0
Author: Ivan Skliarov
Maintainer: Ivan Skliarov <i.skliarov@student.uw.edu.pl>
Description: Decomposition of income inequality by groups formed of individuals possessing similar characteristics (e.g., sex, education, age) and their income sources at the same time. Decomposition of the Theil index is based on Giammatteo, M. (2007) <https://www.lisdatacenter.org/wps/liswps/466.pdf>. Decomposition of the squared coefficient of variation is based on Garcia-Penalosa, C., & Orgiazzi, E. (2013) <doi:10.1111/roiw.12054>.
URL: https://github.com/sklivan/ineq.2d
BugReports: https://github.com/sklivan/ineq.2d/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-06-01 16:33:53 UTC; Ivan
Repository: CRAN
Date/Publication: 2023-06-02 14:30:02 UTC

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New package checkglobals with initial version 0.1.0
Package: checkglobals
Title: Static Analysis of R-Code Dependencies
Version: 0.1.0
Date: 2023-06-01
Description: A minimal R-package to approximately detect global and imported functions or variables from R-source code or R-packages by static code analysis.
BugReports: https://github.com/JorisChau/checkglobals/issues
URL: https://jorischau.github.io/checkglobals/, https://github.com/JorisChau/checkglobals
Depends: R (>= 4.1.0)
Suggests: cli
Encoding: UTF-8
License: MIT + file LICENSE
Language: en-US
NeedsCompilation: yes
Packaged: 2023-06-01 15:46:37 UTC; jchau
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>
Repository: CRAN
Date/Publication: 2023-06-02 14:30:05 UTC

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New package assertions with initial version 0.1.0
Package: assertions
Title: Simple Assertions for Beautiful and Customisable Error Messages
Version: 0.1.0
Description: Provides simple assertions with sensible defaults and customisable error messages. It offers convenient assertion call wrappers and a general assert function that can handle any condition. Default error messages are user friendly and easily customized with inline code evaluation and styling powered by the 'cli' package.
License: MIT + file LICENSE
Suggests: covr, knitr, rmarkdown, shiny, testthat (>= 3.0.0), withr
Encoding: UTF-8
Imports: cli, glue, rlang
URL: https://github.com/selkamand/assertions
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-06-02 12:51:21 UTC; selkamand
Author: Sam El-Kamand [aut, cre, cph]
Maintainer: Sam El-Kamand <sam.elkamand@gmail.com>
Repository: CRAN
Date/Publication: 2023-06-02 14:50:02 UTC

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New package Vdgraph with initial version 2.2-6
Package: Vdgraph
Title: Variance Dispersion Graphs and Fraction of Design Space Plots for Response Surface Designs
Version: 2.2-6
Date: 2023-6-1
Author: John Lawson <lawsonjsl7net@gmail.com>, with contributions from G. Vining
Maintainer: John Lawson <lawsonjsl7net@gmail.com>
Description: Uses a modification of the published FORTRAN code in "A Computer Program for Generating Variance Dispersion Graphs" by G. Vining, Journal of Quality Technology, Vol. 25 No. 1 January 1993, to produce variance dispersion graphs. Also produces fraction of design space plots, and contains data frames for several minimal run response surface designs.
License: GPL-2
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2023-06-02 01:03:38 UTC; John
Repository: CRAN
Date/Publication: 2023-06-02 12:10:08 UTC

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New package StatDA with initial version 1.7.11
Package: StatDA
Version: 1.7.11
Title: Statistical Analysis for Environmental Data
Maintainer: Peter Filzmoser <Peter.Filzmoser@tuwien.ac.at>
Description: Statistical analysis methods for environmental data are implemented. There is a particular focus on robust methods, and on methods for compositional data. In addition, larger data sets from geochemistry are provided. The statistical methods are described in Reimann, Filzmoser, Garrett, Dutter (2008, ISBN:978-0-470-98581-6).
Depends: R (>= 2.10), methods, sgeostat
Imports: cluster, e1071, MASS, MBA, mgcv, rgl, robustbase, xtable, sp, geoR
Suggests: mclust
License: GPL (>= 3)
URL: http://cstat.tuwien.ac.at/filz/
Packaged: 2023-06-02 06:14:31 UTC; filz
Author: Peter Filzmoser [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-06-02 12:20:05 UTC
NeedsCompilation: no

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New package easyNCDF with initial version 0.1.2
Package: easyNCDF
Title: Tools to Easily Read/Write NetCDF Files into/from Multidimensional R Arrays
Version: 0.1.2
Description: Set of wrappers for the 'ncdf4' package to simplify and extend its reading/writing capabilities into/from multidimensional R arrays.
Depends: R (>= 3.2.0)
Imports: ncdf4, abind
License: GPL-3
URL: https://earth.bsc.es/gitlab/es/easyNCDF
BugReports: https://earth.bsc.es/gitlab/es/easyNCDF/-/issues
SystemRequirements: netcdf development libraries
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-30 16:40:38 UTC; aho
Author: BSC-CNS [aut, cph], Nicolau Manubens [aut], Nuria Perez-Zanon [ctb] , An-Chi Ho [cre]
Maintainer: An-Chi Ho <an.ho@bsc.es>
Repository: CRAN
Date/Publication: 2023-06-02 12:20:02 UTC

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New package Synth with initial version 1.1-8
Package: Synth
Version: 1.1-8
Date: 2023-06-01
Title: Synthetic Control Group Method for Comparative Case Studies
Author: Jens Hainmueller <jhain@stanford.edu> and Alexis Diamond <adiamond@fas.harvard.edu>
Maintainer: Jens Hainmueller <jhain@stanford.edu>
Description: Implements the synthetic control group method for comparative case studies as described in Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010, 2011, 2014). The synthetic control method allows for effect estimation in settings where a single unit (a state, country, firm, etc.) is exposed to an event or intervention. It provides a data-driven procedure to construct synthetic control units based on a weighted combination of comparison units that approximates the characteristics of the unit that is exposed to the intervention. A combination of comparison units often provides a better comparison for the unit exposed to the intervention than any comparison unit alone.
Imports: kernlab, optimx,rgenoud
License: GPL (>= 2)
URL: https://web.stanford.edu/~jhain/
NeedsCompilation: no
Packaged: 2023-06-01 19:10:32 UTC; jhainmueller
Repository: CRAN
Date/Publication: 2023-06-02 09:10:02 UTC

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New package ClimProjDiags with initial version 0.3.2
Package: ClimProjDiags
Title: Set of Tools to Compute Various Climate Indices
Version: 0.3.2
Description: Set of tools to compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices.
Depends: R (>= 3.2.0)
Imports: multiApply (>= 2.0.0), PCICt, plyr, stats
Suggests: knitr, testthat, markdown, rmarkdown
License: GPL-3
URL: https://earth.bsc.es/gitlab/es/ClimProjDiags
BugReports: https://earth.bsc.es/gitlab/es/ClimProjDiags/-/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-06-01 13:25:39 UTC; aho
Author: BSC-CNS [aut, cph], Nuria Perez-Zanon [aut] , An-Chi Ho [cre, ctb], Nicolau Manubens [ctb], Alasdair Hunter [aut], Louis-Philippe Caron [ctb], Eva Rifa [ctb]
Maintainer: An-Chi Ho <an.ho@bsc.es>
Repository: CRAN
Date/Publication: 2023-06-02 09:10:05 UTC

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New package regsem with initial version 1.9.5
Package: regsem
Title: Regularized Structural Equation Modeling
Version: 1.9.5
Maintainer: Ross Jacobucci <rcjacobuc@gmail.com>
Description: Uses both ridge and lasso penalties (and extensions) to penalize specific parameters in structural equation models. The package offers additional cost functions, cross validation, and other extensions beyond traditional structural equation models. Also contains a function to perform exploratory mediation (XMed).
URL: https://github.com/Rjacobucci/regsem/
BugReports: https://github.com/Rjacobucci/regsem/issues/
License: GPL (>= 2)
VignetteBuilder: knitr
Depends: lavaan, Rcpp, Rsolnp
Suggests: snowfall, markdown, MASS, GA, caret, glmnet, ISLR, lbfgs, numDeriv, psych, knitr, nloptr, NlcOptim, optimx, semPlot, colorspace, plyr, matrixStats, stringr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-06-01 17:13:30 UTC; rjacobuc
Author: Ross Jacobucci [aut, cre], Kevin Grimm [ctb], Andreas Brandmaier [ctb], Sarfaraz Serang [ctb], Rogier Kievit [ctb], Florian Scharf [ctb], Xiaobei Li [ctb], Ai Ye [ctb]
Repository: CRAN
Date/Publication: 2023-06-02 09:00:02 UTC

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Thu, 01 Jun 2023

New package sphereTessellation with initial version 1.0.0
Package: sphereTessellation
Title: Delaunay and Voronoï Tessellations on the Sphere
Version: 1.0.0
Description: Performs Delaunay and Voronoï tessellations on spheres and provides some functions to plot them. The algorithms are mainly performed by the 'C++' library 'CGAL' (<https://www.cgal.org/>).
License: GPL-3
URL: https://github.com/stla/sphereTessellation
BugReports: https://github.com/stla/sphereTessellation/issues
Imports: grDevices, randomcoloR, Rcpp, rgl, s2
LinkingTo: BH, Rcpp, RcppCGAL, RcppEigen
Suggests: cooltools, uniformly
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-05-31 09:41:48 UTC; stla
Author: Stephane Laurent [aut, cre]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2023-06-01 12:40:02 UTC

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New package RGAP with initial version 0.1.0
Package: RGAP
Title: Production Function Output Gap Estimation
Version: 0.1.0
Depends: R (>= 3.1.0)
Description: The output gap indicates the percentage difference between the actual output of an economy and its potential. Since potential output is a latent process, the estimation of the output gap poses a challenge and numerous filtering techniques have been proposed. 'RGAP' facilitates the estimation of a Cobb-Douglas production function type output gap, as suggested by the European Commission (Havik et al. 2014) <https://ideas.repec.org/p/euf/ecopap/0535.html>. To that end, the non-accelerating wage rate of unemployment (NAWRU) and the trend of total factor productivity (TFP) can be estimated in two bivariate unobserved component models by means of Kalman filtering and smoothing. 'RGAP' features a flexible modeling framework for the appropriate state-space models and offers frequentist as well as Bayesian estimation techniques. Additional functionalities include direct access to the 'AMECO' <https://economy-finance.ec.europa.eu/economic-research-and-databases/economic-databases/ameco- [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, KFAS, zoo, dlm, openxlsx, ggplot2, gridExtra
Suggests: testthat (>= 3.0.0), R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2023-06-01 12:08:30 UTC; sinast
Author: Sina Streicher [aut, cre]
Maintainer: Sina Streicher <streicher@kof.ethz.ch>
Repository: CRAN
Date/Publication: 2023-06-01 12:50:09 UTC

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New package intrinsicKappa with initial version 0.1
Package: intrinsicKappa
Title: Sample Size Planning Based on Intrinsic Kappa Value
Version: 0.1
Maintainer: David Schindler <dv.schindler@gmail.com>
Description: Kappa statistics is one of the most used methods to evaluate the effectiveness of inpsections based on attribute assessments in industry. However, its estimation by available methods does not provide its "real" or "intrinstic" value. This package provides functions for the computation of the intrinsic kappa value as it is described in: Rafael Sanchez-Marquez, Frank Gerhorst and David Schindler (2023) "Effectiveness of quality inspections of attributive characteristics – A novel and practical method for estimating the “intrinsic” value of kappa based on alpha and beta statistics." <doi:10.1016/j.cie.2023.109006>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats
Suggests: knitr, rmarkdown, utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-06-01 11:13:06 UTC; DSCHIND2
Author: David Schindler [aut, cre], Rafael Sanchez-Marquez [aut], Frank Gerhorst [aut]
Repository: CRAN
Date/Publication: 2023-06-01 12:50:07 UTC

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New package AFFECT with initial version 0.1.0
Package: AFFECT
Title: Accelerated Functional Failure Time Model with Error-Contaminated Survival Times
Version: 0.1.0
Author: Hsiao-Ting Huang <nikkihuang309700034@gmail.com> [cre,aut] Li-Pang Chen <lchen723@nccu.edu.tw> [aut]
Maintainer: Hsiao-Ting Huang <nikkihuang309700034@gmail.com>
Depends: R (>= 3.3.1)
Imports: stats,ggplot2
Description: We aim to deal with data with measurement error in the response and misclassification censoring status under an AFT model. This package primarily contains three functions, which are used to generate artificial data, correction for error-prone data and estimate the functional covariates for an AFT model.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-06-01 11:59:46 UTC; nikki
Repository: CRAN
Date/Publication: 2023-06-01 12:50:14 UTC

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New package scGOclust with initial version 0.1.0
Package: scGOclust
Title: Measuring Cell Type Similarity with Gene Ontology in Single-Cell RNA-Seq
Version: 0.1.0
Description: Traditional methods for analyzing single cell RNA-seq datasets focus solely on gene expression, but this package introduces a novel approach that goes beyond this limitation. Using Gene Ontology terms as features, the package allows for the functional profile of cell populations, and comparison within and between datasets from the same or different species. Our approach enables the discovery of previously unrecognized functional similarities and differences between cell types and has demonstrated success in identifying cell types' functional correspondence even between evolutionarily distant species.
URL: https://github.com/YY-SONG0718/scGOclust
BugReports: https://github.com/YY-SONG0718/scGOclust/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
VignetteBuilder: knitr
Imports: limma, Seurat, biomaRt, dplyr, magrittr, stats, tibble, tidyr, Matrix, utils, networkD3, slanter
Suggests: devtools, knitr, pheatmap, rmarkdown, httr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-05-31 13:28:35 UTC; ysong
Author: Yuyao Song [aut, cre, ctb], Irene Papatheodorou [aut, ths]
Maintainer: Yuyao Song <ysong@ebi.ac.uk>
Repository: CRAN
Date/Publication: 2023-06-01 11:50:05 UTC

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New package rwisp with initial version 1.0.1
Package: rwisp
Title: WISP Multiple Criteria Sorting Method
Description: Implementation of the Integrated Simple Weighted Sum Product Method (WISP), a multiple criteria sorting method create by Dragisa Stanujkic (2021) <doi:10.1109/TEM.2021.3075783>.
Version: 1.0.1
Encoding: UTF-8
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2023-05-31 22:59:53 UTC; usuario
Author: Bernardo Silva [aut, cre]
Maintainer: Bernardo Silva <bernardo.silva@furg.br>
Repository: CRAN
Date/Publication: 2023-06-01 12:00:02 UTC

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New package MetricGraph with initial version 1.1.1
Package: MetricGraph
Title: Random Fields on Metric Graphs
Version: 1.1.1
Maintainer: David Bolin <davidbolin@gmail.com>
Description: Facilitates creation and manipulation of metric graphs, such as street or river networks. Further facilitates operations and visualizations of data on metric graphs, and the creation of a large class of random fields and stochastic partial differential equations on such spaces. These random fields can be used for simulation, prediction and inference. In particular, linear mixed effects models including random field components can be fitted to data based on computationally efficient sparse matrix representations. Interfaces to the R packages 'INLA' and 'inlabru' are also provided, which facilitate working with Bayesian statistical models on metric graphs. The main references for the methods are Bolin, Simas and Wallin (2022) <doi:10.48550/arXiv.2205.06163>, Bolin, Kovacs, Kumar and Simas (2023) <doi:10.48550/arXiv.2302.03995> and Bolin, Simas and Wallin (2023) <doi:10.48550/arXiv.2304.03190> and <doi:10.48550/arXiv.2304.10372>.
License: GPL (>= 2)
Imports: stats, ggplot2, igraph, sp, sf, viridis, rSPDE (>= 2.3.1), Matrix, methods, Rcpp (>= 1.0.5)
Suggests: knitr, testthat, INLA (>= 0.0-1468840039), inlabru, osmdata, sn, plotly, tidyr, parallel, optimParallel, numDeriv
Additional_repositories: https://inla.r-inla-download.org/R/testing
BugReports: https://github.com/davidbolin/MetricGraph/issues
URL: https://davidbolin.github.io/MetricGraph/
Copyright: The R package and code, and the main programs, were written by and are Copyright by David Bolin, Alexandre B. Simas and Jonas Wallin, and are redistributable under the GNU Public License, version 2 or later. The package also includes one function from another package, which will be deprecated in 2023, and whose codes are under the GPL-2 license. For details see the COPYRIGHTS file.
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
LinkingTo: Rcpp, RcppEigen
Packaged: 2023-06-01 08:36:14 UTC; debusta
Author: David Bolin [cre, aut], Jonas Wallin [aut], Alexandre Simas [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-06-01 12:00:11 UTC

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New package bootImpute with initial version 1.2.1
Package: bootImpute
Title: Bootstrap Inference for Multiple Imputation
Version: 1.2.1
Author: Jonathan Bartlett
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>
Description: Bootstraps and imputes incomplete datasets. Then performs inference on estimates obtained from analysing the imputed datasets as proposed by von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>.
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: mice, smcfcs
Suggests: testthat
NeedsCompilation: no
Packaged: 2023-06-01 10:07:56 UTC; jwb13
Repository: CRAN
Date/Publication: 2023-06-01 10:30:02 UTC

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New package SpiceFP with initial version 0.1.2
Package: SpiceFP
Title: Sparse Method to Identify Joint Effects of Functional Predictors
Version: 0.1.2
Maintainer: Girault Gnanguenon Guesse <girault.gnanguenon@gmail.com>
Description: A set of functions allowing to implement the 'SpiceFP' approach which is iterative. It involves transformation of functional predictors into several candidate explanatory matrices (based on contingency tables), to which relative edge matrices with contiguity constraints are associated. Generalized Fused Lasso regression are performed in order to identify the best candidate matrix, the best class intervals and related coefficients at each iteration. The approach is stopped when the maximal number of iterations is reached or when retained coefficients are zeros. Supplementary functions allow to get coefficients of any candidate matrix or mean of coefficients of many candidates. The methods in this package are describing in Girault Gnanguenon Guesse, Patrice Loisel, Bénedicte Fontez, Thierry Simonneau, Nadine Hilgert (2021) "An exploratory penalized regression to identify combined effects of functional variables -Application to agri-environmental issues" <https://hal.archives-ouvertes. [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: doParallel, foreach, stringr, tidyr, Matrix, genlasso, purrr
Suggests: fields
NeedsCompilation: no
Packaged: 2023-05-31 14:06:46 UTC; gnanguen
Author: Girault Gnanguenon Guesse [aut, cre], Patrice Loisel [aut], Benedicte Fontez [aut], Nadine Hilgert [aut], Thierry Simonneau [ctr], Isabelle Sanchez [ctr]
Repository: CRAN
Date/Publication: 2023-06-01 09:10:18 UTC

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New package projpred with initial version 2.6.0
Package: projpred
Encoding: UTF-8
Title: Projection Predictive Feature Selection
Version: 2.6.0
Date: 2023-05-25
Description: Performs projection predictive feature selection for generalized linear models (Piironen, Paasiniemi, and Vehtari, 2020, <doi:10.1214/20-EJS1711>) with or without multilevel or additive terms (Catalina, Bürkner, and Vehtari, 2022, <https://proceedings.mlr.press/v151/catalina22a.html>), for some ordinal and nominal regression models (Weber and Vehtari, 2023, <arXiv:2301.01660>), and for many other regression models (using the latent projection by Catalina, Bürkner, and Vehtari, 2021, <arXiv:2109.04702>, which can also be applied to most of the former models). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the vignettes and the documentation for more information and examples.
License: GPL-3 | file LICENSE
URL: https://mc-stan.org/projpred/, https://discourse.mc-stan.org
BugReports: https://github.com/stan-dev/projpred/issues/
Depends: R (>= 3.5.0)
Imports: methods, utils, Rcpp, ggplot2, scales, rstantools (>= 2.0.0), loo (>= 2.0.0), lme4 (>= 1.1-28), mvtnorm, mgcv, gamm4, abind, MASS, ordinal, nnet, mclogit
Suggests: ggrepel, rstanarm, brms, nlme, optimx, ucminf, parallel, foreach, iterators, testthat, vdiffr, knitr, rmarkdown, glmnet, cmdstanr, rlang, bayesplot (>= 1.5.0), posterior, doParallel, future, future.callr, doFuture
LinkingTo: Rcpp, RcppArmadillo
Additional_repositories: https://mc-stan.org/r-packages/
LazyData: TRUE
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2023-05-31 17:46:17 UTC; frank
Author: Juho Piironen [aut], Markus Paasiniemi [aut], Alejandro Catalina [aut], Frank Weber [cre, aut], Aki Vehtari [aut], Jonah Gabry [ctb], Marco Colombo [ctb], Paul-Christian Buerkner [ctb], Hamada S. Badr [ctb], Brian Sullivan [ctb], Soelvi Roegnvaldsson [c [...truncated...]
Maintainer: Frank Weber <fweber144@protonmail.com>
Repository: CRAN
Date/Publication: 2023-06-01 09:10:02 UTC

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New package ggPMX with initial version 1.2.9
Package: ggPMX
Title: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models
Description: At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling activities in order to reduce the overall effort required for generating such plots. For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient for publication and submissions using few lines of code. This package focuses on plots recommended by ISoP <doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors' package in the 'Monolix' installation, as described at the following url <https://monolix.lixoft.com/monolix-api/lixoftconnectors_installation/>. When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required Chart Data instead of exporting it from the 'Monolix' gui.
Version: 1.2.9
URL: https://github.com/ggPMXdevelopment/ggPMX
BugReports: https://github.com/ggPMXdevelopment/ggPMX/issues
Depends: R (>= 3.5)
Imports: data.table, yaml, R6, gtable, ggplot2 (>= 3.4.0), ggforce, magrittr, stringr, assertthat, GGally, zoo, knitr, rmarkdown, tidyr, dplyr, purrr, readr, rlang, checkmate, scales
License: GPL-2
Suggests: testthat, xtable, vdiffr, rxode2, captioner, nlmixr2, nlmixr2data, lixoftConnectors, xgxr, withr, lifecycle
VignetteBuilder: knitr
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2023-05-31 23:02:17 UTC; matt
Author: Amine Gassem [aut], Bruno Bieth [aut], Irina Baltcheva [aut], Thomas Dumortier [aut], Christian Bartels [aut], Souvik Bhattacharya [aut], Inga Ludwig [aut], Ines Paule [aut], Didier Renard [aut], Matthew Fidler [aut, cre] , Seid Hamzic [aut], Benjami [...truncated...]
Maintainer: Matthew Fidler <matt.fidler@novartis.com>
Repository: CRAN
Date/Publication: 2023-06-01 09:10:11 UTC

More information about ggPMX at CRAN
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Wed, 31 May 2023

New package rgoogleclassroom with initial version 0.9
Package: rgoogleclassroom
Title: API Wrapper for Google Classroom and Google Forms
Version: 0.9
Description: This is a Google Forms and Google Classroom API Wrapper for R for managing Google Classrooms from R. The documentation for these APIs is here <https://developers.google.com/forms/api/guides> .
License: GPL-3
URL: https://github.com/datatrail-jhu/rgoogleclassroom
BugReports: https://github.com/datatrail-jhu/rgoogleclassroom/issues
Imports: attempt, curl, httr, jsonlite, purrr, R6, assertthat, lubridate, magrittr, openssl, ottrpal, stringr, dplyr, knitr,
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-31 15:25:34 UTC; candacesavonen
Author: Candace Savonen [cre, aut]
Maintainer: Candace Savonen <csavonen@fredhutch.org>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-05-31 20:30:02 UTC

More information about rgoogleclassroom at CRAN
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New package ino with initial version 1.0.0
Package: ino
Title: Initialization of Numerical Optimization
Version: 1.0.0
Description: Analysis of the initialization for numerical optimization of real-valued functions, including likelihood functions of statistical models.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: cli, crayon, doSNOW, dplyr, forcats, foreach, ggplot2, glue, mvtnorm, reshape2, rlang, scales
Suggests: covr, devtools, DT, fHMM, knitr, markdown, purrr, pracma, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/loelschlaeger/ino
BugReports: https://github.com/loelschlaeger/ino/issues
VignetteBuilder: knitr
Depends: R (>= 4.0.0), optimizeR (>= 0.3.1)
NeedsCompilation: no
Packaged: 2023-05-31 09:11:05 UTC; loelschlaeger
Author: Lennart Oelschlaeger [aut, cre] , Marius Oetting [aut] , Dietmar Bauer [aut]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-31 10:50:02 UTC

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New package WeibullR.plotly with initial version 0.1.2
Package: WeibullR.plotly
Title: Interactive Weibull Probability Plots with 'WeibullR'
Version: 0.1.2
Description: Build interactive Weibull Probability Plots with 'WeibullR' by David Silkworth and Jurgen Symynck (2022) <https://CRAN.R-project.org/package=WeibullR>, an R package for Weibull analysis, and 'plotly' by Carson Sievert (2020) <https://plotly-r.com>, an interactive web-based graphing library.
URL: https://paulgovan.github.io/WeibullR.plotly/
BugReports: https://github.com/paulgovan/weibullr.plotly/issues
License: Apache License
Imports: WeibullR, plotly
Suggests: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-31 02:46:49 UTC; paulgovan
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <pgovan1@aggienetwork.com>
Repository: CRAN
Date/Publication: 2023-05-31 09:00:08 UTC

More information about WeibullR.plotly at CRAN
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New package nimbleHMC with initial version 0.1.0
Package: nimbleHMC
Title: Hamiltonian Monte Carlo and Other Gradient-Based MCMC Sampling Algorithms for 'nimble'
Version: 0.1.0
Date: 2023-05-30
Maintainer: Daniel Turek <danielturek@gmail.com>
Description: Provides gradient-based MCMC sampling algorithms for use with the MCMC engine provided by the 'nimble' package. This includes Hamiltonian Monte Carlo (HMC) and (under development) Langevin samplers. The HMC sampler dynamically determines step size and number of leapfrog steps using the No-U-Turn (NUTS) algorithm as described in Hoffman and Gelman (2014) <arXiv:1111.4246>. In addition, convenience functions are provided for generating and modifying MCMC configuration objects which employ HMC sampling.
Depends: R (>= 3.5.0), nimble (>= 1.0.0)
Imports: methods
Suggests: testthat
License: BSD_3_clause + file LICENSE | GPL (>= 2)
Copyright: See COPYRIGHTS file.
Encoding: UTF-8
LazyData: false
NeedsCompilation: no
Packaged: 2023-05-30 16:13:25 UTC; dturek
Author: Daniel Turek [aut, cre], Perry de Valpine [aut], Christopher Paciorek [aut]
Repository: CRAN
Date/Publication: 2023-05-31 09:00:02 UTC

More information about nimbleHMC at CRAN
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New package mirai.promises with initial version 0.1.0
Package: mirai.promises
Title: Make 'Mirai' 'Promises'
Version: 0.1.0
Description: Allows 'mirai' objects encapsulating asynchronous computations, from the 'mirai' package by Gao (2023) <doi:10.5281/zenodo.7912722>, to be used interchangeably with 'promise' objects from the 'promises' package by Cheng (2021) <https://CRAN.R-project.org/package=promises>. This facilitates their use with packages 'plumber' by Schloerke and Allen (2022) <https://CRAN.R-project.org/package=plumber> and 'shiny' by Cheng, Allaire, Sievert, Schloerke, Xie, Allen, McPherson, Dipert and Borges (2022) <https://CRAN.R-project.org/package=shiny>.
License: GPL (>= 3)
BugReports: https://github.com/shikokuchuo/mirai.promises/issues
URL: https://github.com/shikokuchuo/mirai.promises/
Encoding: UTF-8
Depends: R (>= 2.12)
Imports: mirai, later (>= 1.0.0), promises (>= 1.1.0)
NeedsCompilation: no
Packaged: 2023-05-31 07:03:50 UTC; cg334
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>
Repository: CRAN
Date/Publication: 2023-05-31 09:00:05 UTC

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New package dfrr with initial version 0.1.5
Package: dfrr
Title: Dichotomized Functional Response Regression
Version: 0.1.5
Maintainer: Fatemeh Asgari <fatemeh.asgari@medisin.uio.no>
Description: Implementing Function-on-Scalar Regression model in which the response function is dichotomized and observed sparsely. This package provides smooth estimations of functional regression coefficients and principal components for the dichotomized functional response regression (dfrr) model.
License: GPL-3
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 3.5.0), tmvtnorm (>= 1.4-10), fda (>= 5.1.4)
Imports: MASS, ggplot2, plotly
Suggests: car
URL: https://github.com/asgari-fatemeh/dfrr
BugReports: https://github.com/asgari-fatemeh/dfrr/issues
NeedsCompilation: no
Packaged: 2023-05-30 17:14:11 UTC; fatema
Author: Fatemeh Asgari [aut, cre], Saeed Hayati [aut, ctb]
Repository: CRAN
Date/Publication: 2023-05-31 08:30:02 UTC

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New package fdakma with initial version 1.3.1
Package: fdakma
Title: Functional Data Analysis: K-Mean Alignment
Version: 1.3.1
Description: It performs simultaneously clustering and alignment of a multidimensional or unidimensional functional dataset by means of k-mean alignment.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/astamm/fdakma
BugReports: https://github.com/astamm/fdakma/issues
Imports: cli, fdacluster, rlang
NeedsCompilation: no
Packaged: 2023-05-30 17:30:41 UTC; stamm-a
Author: Laura Sangalli [aut], Piercesare Secchi [aut], Aymeric Stamm [cre, ctb] , Simone Vantini [aut], Valeria Vitelli [aut], Alessandro Zito [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>
Repository: CRAN
Date/Publication: 2023-05-31 07:00:02 UTC

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New package PortalHacienda with initial version 0.1.7
Package: PortalHacienda
Title: Acceder Con R a Los Datos Del Portal De Hacienda
Version: 0.1.7
Description: Obtener listado de datos, acceder y extender series del Portal de Datos de Hacienda.Las proyecciones se realizan con 'forecast', Hyndman RJ, Khandakar Y (2008) <doi:10.18637/jss.v027.i03>. Search, download and forecast time-series from the Ministry of Economy of Argentina. Forecasts are built with the 'forecast' package, Hyndman RJ, Khandakar Y (2008) <doi:10.18637/jss.v027.i03>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/fmgarciadiaz/PortalHacienda-CRAN
Imports: dplyr (>= 0.8.5), forecast (>= 8.12), timetk (>= 2.0), lubridate (>= 1.7.8), xts (>= 0.12-0), httr, tibble (>= 3.0.1), magrittr (>= 1.5), zoo (>= 1.8-8), curl, purrr
Depends: R (>= 3.6.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-30 19:48:20 UTC; fmgarciadiaz
Author: Fernando Garcia Diaz [aut, cre]
Maintainer: Fernando Garcia Diaz <fmgarciadiaz78@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-31 06:00:02 UTC

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Tue, 30 May 2023

New package halfmoon with initial version 0.1.0
Package: halfmoon
Title: Techniques to Build Better Balance
Version: 0.1.0
Description: Build better balance in causal inference models. 'halfmoon' helps you assess propensity score models for balance between groups using metrics like standardized mean differences and visualization techniques like mirrored histograms. 'halfmoon' supports both weighting and matching techniques.
License: MIT + file LICENSE
URL: https://github.com/r-causal/halfmoon, https://r-causal.github.io/halfmoon/
BugReports: https://github.com/r-causal/halfmoon/issues
Depends: R (>= 2.10)
Imports: cli, ggplot2, tidyselect, tidysmd (>= 0.2.0)
Suggests: covr, testthat (>= 3.0.0), vdiffr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-30 17:15:48 UTC; malcolmbarrett
Author: Malcolm Barrett [aut, cre, cph]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 18:20:02 UTC

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New package boinet with initial version 0.0.3
Package: boinet
Version: 0.0.3
Title: Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family
Description: Bayesian optimal interval based on both efficacy and toxicity outcomes (BOIN-ET) design is a model-assisted oncology phase I trial design, aiming to establish an optimal biological dose accounting for efficacy and toxicity in the framework of dose-finding. Some extensions of BOIN-ET design are also available to allow for time-to-event efficacy and toxicity outcomes based on cumulative and pending data (time-to-event BOIN-ET: TITE-BOIN-ET), multicategorical efficacy and toxicity outcomes (generalized BOIN-ET: gBOIN-ET), and their combination (TITE-gBOIN-ET). 'boinet' is a package to implement the BOIN-ET design family and supports the conduct of simulation studies to assess operating characteristics of BOIN-ET, TITE-BOIN-ET, gBOIN-ET, and TITE-gBOIN-ET, where users can choose design parameters in flexible and straightforward ways depending on their own application.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Iso, mfp, copula
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-30 16:04:52 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 18:10:02 UTC

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New package glossary with initial version 1.0.0
Package: glossary
Title: Glossaries for Markdown and Quarto Documents
Date: 2023-05-30
Version: 1.0.0
Description: Add glossaries to markdown and quarto documents by tagging individual words. Definitions can be provided inline or in a separate file.
License: CC BY 4.0
Encoding: UTF-8
Imports: kableExtra, knitr, markdown, rvest, xml2, yaml
Suggests: covr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/debruine/glossary, https://debruine.github.io/glossary/
BugReports: https://github.com/debruine/glossary/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-30 11:51:30 UTC; debruine
Author: Lisa DeBruine [aut, cre, cph]
Maintainer: Lisa DeBruine <debruine@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 18:00:02 UTC

More information about glossary at CRAN
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New package MCPModPack with initial version 0.5
Package: MCPModPack
Title: Simulation-Based Design and Analysis of Dose-Finding Trials
Version: 0.5
Date: 2023-05-23
Depends: R (>= 3.4.1), mvtnorm
Imports: shiny, shinydashboard, devEMF, officer, flextable, Rcpp, RcppNumerical
Suggests: testthat, devtools, DoseFinding, covr
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Maintainer: Alex Dmitrienko <admitrienko@mediana.us>
Description: An efficient implementation of the MCPMod (Multiple Comparisons and Modeling) method to support a simulation-based design and analysis of dose-finding trials with normally distributed, binary and count endpoints (Bretz et al. (2005) <doi:10.1111/j.1541-0420.2005.00344.x>).
License: GPL-3
LazyLoad: yes
LazyData: true
NeedsCompilation: yes
Author: Alex Dmitrienko [aut, cre], Alun Bedding [ctb], John Cook [ctb]
Repository: CRAN
URL: https://github.com/medianasoft/MCPModPack
BugReports: https://github.com/medianasoft/MCPModPack/issues
Packaged: 2023-05-30 08:04:23 UTC; victordmitrienko
Date/Publication: 2023-05-30 12:20:04 UTC

More information about MCPModPack at CRAN
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New package xlcutter with initial version 0.1.0
Package: xlcutter
Title: Parse Batches of 'xlsx' Files Based on a Template
Version: 0.1.0
Description: Parse entire folders of non-rectangular 'xlsx' files into a single rectangular and tidy 'data.frame' based on a custom template file defining the column names of the output.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.3.0)
Imports: tidyxl
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/Bisaloo/xlcutter, https://hugogruson.fr/xlcutter/
BugReports: https://github.com/Bisaloo/xlcutter/issues
NeedsCompilation: no
Packaged: 2023-05-29 14:07:36 UTC; hugo
Author: Hugo Gruson [aut, cre, cph]
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>
Repository: CRAN
Date/Publication: 2023-05-30 10:30:02 UTC

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New package siftr with initial version 1.0.1
Package: siftr
Title: Fuzzily Search a Dataframe to Find Relevant Columns
Version: 1.0.1
Description: Analysts who change projects frequently know that it can be hard to find the right column in an unfamiliar dataframe, especially when the dataframe spans hundreds of columns and millions of rows. 'siftr' is an interactive tool that finds relevant columns by fuzzily searching through a dataframe's column names, labels, factor levels, and unique values.
License: MIT + file LICENSE
URL: https://github.com/DesiQuintans/siftr
BugReports: https://github.com/DesiQuintans/siftr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: cli, fastdigest
NeedsCompilation: no
Packaged: 2023-05-28 23:23:21 UTC; dqui6184
Author: Desi Quintans [cre, aut, cph]
Maintainer: Desi Quintans <science@desiquintans.com>
Repository: CRAN
Date/Publication: 2023-05-30 10:10:02 UTC

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New package RITCH with initial version 0.1.18
Package: RITCH
Title: R Parser for the ITCH-Protocol
Version: 0.1.18
Description: Allows to efficiently parse, filter, and write binary ITCH Files (Version 5.0) containing detailed financial transactions as distributed by NASDAQ to an R data.table.
License: MIT + file LICENSE
URL: https://davzim.github.io/RITCH/, https://github.com/DavZim/RITCH
BugReports: https://github.com/DavZim/RITCH/issues
Depends: R (>= 3.5.0)
Imports: data.table, Rcpp (>= 0.12.12), nanotime (>= 0.3.2), bit64 (>= 4.0.5)
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: tinytest
NeedsCompilation: yes
Packaged: 2023-05-29 11:48:03 UTC; david
Author: David Zimmermann-Kollenda [aut, cre]
Maintainer: David Zimmermann-Kollenda <david_j_zimmermann@hotmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 10:20:05 UTC

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New package RAFS with initial version 0.2.2
Package: RAFS
Title: Robust Aggregative Feature Selection
Version: 0.2.2
Date: 2023-05-09
URL: https://www.mdfs.it/
Description: A cross-validated minimal-optimal feature selection algorithm. It utilises popularity counting, hierarchical clustering with feature dissimilarity measures, and prefiltering with all-relevant feature selection method to obtain the minimal-optimal set of features.
Depends: R (>= 4.2.0)
License: GPL-3
Encoding: UTF-8
Imports: fastcluster, MDFS (>= 1.5.3), splitTools
NeedsCompilation: no
Packaged: 2023-05-29 18:36:57 UTC; ubuntu
Author: Radoslaw Piliszek [aut, cre]
Maintainer: Radoslaw Piliszek <radoslaw.piliszek@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 10:30:05 UTC

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New package HDMFA with initial version 0.1.0
Package: HDMFA
Title: High-Dimensional Matrix Factor Analysis
Version: 0.1.0
Author: Yong He [aut], Changwei Zhao [aut], Ran Zhao [aut, cre]
Maintainer: Ran Zhao <Zhaoran@mail.sdu.edu.cn>
Description: Hign-dimensional matrix factor models have drawn much attention in view of the fact that observations are usually well structured to be an array such as in macroeconomics and finance. In addition, data often exhibit heavy-tails and thus it is also important to develop robust procedures. We aim to address this issue by replacing the least square loss with Huber loss function. We propose two algorithms to do robust factor analysis by considering the Huber loss. One is based on minimizing the Huber loss of the idiosyncratic error's Frobenius norm, which leads to a weighted iterative projection approach to compute and learn the parameters and thereby named as Robust-Matrix-Factor-Analysis (RMFA), see the details in He et al. (2023)<doi:10.1080/07350015.2023.2191676>. The other one is based on minimizing the element-wise Huber loss, which can be solved by an iterative Huber regression algorithm (IHR). In this package, we also provide the algorithm for alpha-PCA by Chen & Fan (2021 [...truncated...]
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: MASS, RSpectra
NeedsCompilation: no
Packaged: 2023-05-29 07:04:41 UTC; 赵冉
Repository: CRAN
Date/Publication: 2023-05-30 10:50:17 UTC

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New package FinNet with initial version 0.1.0
Package: FinNet
Title: Quickly Build and Manipulate Financial Networks
Version: 0.1.0
Maintainer: Fabio Ashtar Telarico <Fabio-Ashtar.Telarico@fdv.uni-lj.si>
Description: Providing classes, methods, and functions to deal with financial networks. Users can easily store information about both physical and legal persons by using pre-made classes that are studied for integration with scraping packages such as 'rvest' and 'RSelenium'. Moreover, the package assists in creating various types of financial networks depending on the type of relation between its units depending on the relation under scrutiny (ownership, board interlocks, etc.), the desired tie type (valued or binary), and renders them in the most common formats (adjacency matrix, incidence matrix, edge list, 'igraph', 'network').
License: GPL (>= 3)
URL: https://fatelarico.github.io/FinNet.html
BugReports: https://github.com/FATelarico/FinNet/issues
Encoding: UTF-8
Depends: R (>= 2.10)
Author: Fabio Ashtar Telarico [aut, cre]
Imports: grDevices, methods
Suggests: knitr, Matrix, igraph, network, markdown, SPB, yahoofinancer
LazyData: no
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-29 18:23:49 UTC; fabio
Repository: CRAN
Date/Publication: 2023-05-30 10:30:08 UTC

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New package ffstream with initial version 0.1.7.2
Package: ffstream
Title: Forgetting Factor Methods for Change Detection in Streaming Data
Version: 0.1.7.2
Date: 2023-05-25
Author: Dean Bodenham
Maintainer: Dean Bodenham <deanbodenhampkgs@gmail.com>
Description: An implementation of the adaptive forgetting factor scheme described in Bodenham and Adams (2016) <doi:10.1007/s11222-016-9684-8> which adaptively estimates the mean and variance of a stream in order to detect multiple changepoints in streaming data. The implementation is in 'C++' and uses 'Rcpp'. Additionally, implementations of the fixed forgetting factor scheme from the same paper, as well as the classic cumulative sum ('CUSUM') and exponentially weighted moving average ('EWMA') methods, are included.
Depends: R (>= 4.1.0), Rcpp (>= 1.0.0)
License: GPL-2 | GPL-3
LinkingTo: Rcpp
Imports: methods
Suggests: testthat (>= 2.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-05-30 09:46:35 UTC; dean
Repository: CRAN
Date/Publication: 2023-05-30 10:20:02 UTC

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New package epoxy with initial version 0.1.0
Package: epoxy
Title: String Interpolation for Documents, Reports and Apps
Version: 0.1.0
Description: Extra strength 'glue' for data-driven templates. String interpolation for 'Shiny' apps or 'R Markdown' and 'knitr'-powered 'Quarto' documents, built on the 'glue' and 'whisker' packages.
License: MIT + file LICENSE
URL: https://pkg.garrickadenbuie.com/epoxy/, https://github.com/gadenbuie/epoxy
BugReports: https://github.com/gadenbuie/epoxy/issues
Depends: R (>= 2.10)
Imports: and, glue (>= 1.5.0), htmltools, knitr (>= 1.37), lifecycle, purrr, rlang, rmarkdown, scales (>= 1.1.0), tools, whisker
Suggests: cleanrmd, commonmark, debugme, pandoc, shiny, shinytest2, testthat
VignetteBuilder: cleanrmd, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-30 02:04:44 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] , Kushagra Gour [ctb] , The mustache.js community [ctb]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Repository: CRAN
Date/Publication: 2023-05-30 10:50:07 UTC

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New package dwctaxon with initial version 2.0.2
Package: dwctaxon
Title: Edit and Validate Darwin Core Taxon Data
Version: 2.0.2
Description: Edit and validate taxonomic data in compliance with Darwin Core standards (Darwin Core 'Taxon' class <https://dwc.tdwg.org/terms/#taxon>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: assertthat, digest, dplyr, glue, purrr, rlang, settings, stringr, tibble
Suggests: testthat (>= 3.0.0), mockery, readr, usethis, knitr, rmarkdown, patrick, stringi, english, tidyr, utils
Depends: R (>= 2.10)
URL: https://docs.ropensci.org/dwctaxon/, https://github.com/ropensci/dwctaxon
BugReports: https://github.com/ropensci/dwctaxon/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-30 00:59:18 UTC; joelnitta
Author: Joel H. Nitta [aut, cre, cph] , Wataru Iwasaki [ctb] , Collin Schwantes [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/574>), Stephen Formel [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/57 [...truncated...]
Maintainer: Joel H. Nitta <joelnitta@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 10:40:02 UTC

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New package dmetatools with initial version 1.1.1
Package: dmetatools
Title: Computational Tools for Meta-Analysis of Diagnostic Accuracy Test
Version: 1.1.1
Date: 2023-05-27
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Computational tools for meta-analysis of diagnostic accuracy test. Bootstrap-based computational methods of the confidence interval for AUC of summary ROC curve and some related AUC-based inference methods are available (Noma et al. (2021) <doi:10.1080/23737484.2021.1894408>).
Imports: MASS, mada
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-30 05:07:12 UTC; Hisashi
Author: Hisashi Noma [aut, cre]
Repository: CRAN
Date/Publication: 2023-05-30 10:50:10 UTC

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New package ChernoffDist with initial version 0.1.0
Package: ChernoffDist
Title: Chernoff's Distribution
Version: 0.1.0
Author: Haitian Xie
Maintainer: Haitian Xie <xht@gsm.pku.edu.cn>
Description: Computes Chernoff's distribution based on the method in Piet Groeneboom & Jon A Wellner (2001) Computing Chernoff's Distribution, Journal of Computational and Graphical Statistics, 10:2, 388-400, <doi:10.1198/10618600152627997>. Chernoff's distribution is defined as the distribution of the maximizer of the two-sided Brownian motion minus quadratic drift. That is, Z = argmax (B(t)-t^2).
License: GPL-3
Encoding: UTF-8
Imports: gsl
NeedsCompilation: no
Packaged: 2023-05-28 23:45:32 UTC; haitianxie
Repository: CRAN
Date/Publication: 2023-05-30 10:10:05 UTC

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New package cgalPolygons with initial version 0.1.1
Package: cgalPolygons
Title: R6 Based Utilities for Polygons using 'CGAL'
Version: 0.1.1
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Provides some utilities for polygons: area calculation, decomposition into convex parts, Minkowski addition, Boolean operations, and more. Polygons with holes are supported. The algorithms are performed by the 'C++' library' CGAL' (<https://www.cgal.org/>).
License: GPL-3
URL: https://github.com/stla/cgalPolygons
BugReports: https://github.com/stla/cgalPolygons/issues
Depends: R (>= 2.10)
Imports: graphics, methods, R6, Rcpp (>= 1.0.9)
LinkingTo: BH, Rcpp, RcppCGAL, RcppEigen
Encoding: UTF-8
LazyData: TRUE
SystemRequirements: C++ 17, gmp, mpfr
NeedsCompilation: yes
Packaged: 2023-05-30 09:06:21 UTC; stla
Author: Stephane Laurent [aut, cre]
Repository: CRAN
Date/Publication: 2023-05-30 11:00:02 UTC

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New package adapt4pv with initial version 0.2-3
Package: adapt4pv
Title: Adaptive Approaches for Signal Detection in Pharmacovigilance
Version: 0.2-3
Depends: R (>= 3.6.0), Matrix (>= 1.0-6), glmnet (>= 3.0-2)
Imports: speedglm, xgboost, doParallel, foreach
Description: A collection of several pharmacovigilance signal detection methods based on adaptive lasso. Additional lasso-based and propensity score-based signal detection approaches are also supplied. See Courtois et al <doi:10.1186/s12874-021-01450-3>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Author: Emeline Courtois [cre], Ismail Ahmed [aut], Herve Perdry [ctb]
Maintainer: Emeline Courtois <courtoise@iarc.who.int>
NeedsCompilation: no
Packaged: 2023-05-30 07:26:33 UTC; emeli
Repository: CRAN
Date/Publication: 2023-05-30 10:50:13 UTC

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New package dynamite with initial version 1.4.3
Package: dynamite
Title: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Version: 1.4.3
Description: Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2022) <doi:10.31235/osf.io/mdwu5>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2023) <arxiv:2302.01607>.
License: GPL (>= 3)
URL: https://docs.ropensci.org/dynamite/, https://github.com/ropensci/dynamite/
BugReports: https://github.com/ropensci/dynamite/issues/
Depends: R (>= 3.6.0)
Imports: checkmate, cli, data.table, glue, ggplot2, loo, methods, patchwork, posterior, rlang, rstan, stats, tibble (>= 2.0.0), utils
Suggests: bookdown, cmdstanr, covr, dplyr, knitr, mockthat, rmarkdown, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Additional_repositories: https://mc-stan.org/r-packages/
NeedsCompilation: no
Packaged: 2023-05-29 09:07:09 UTC; santikka
Author: Santtu Tikka [aut, cre] , Jouni Helske [aut] , Nicholas Clark [rev], Lucy D’Agostino McGowan [rev]
Maintainer: Santtu Tikka <santtuth@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 09:20:06 UTC

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New package ntdr with initial version 0.3.0
Package: ntdr
Title: Retrieve Data from the National Transit Database
Version: 0.3.0
Description: Downloads the latest 'National Transit Database' data, processes it, and returns in a tidy data format.
License: MIT + file LICENSE
BugReports: https://github.com/vgXhc/ntdr/issues
Encoding: UTF-8
Imports: dplyr, lubridate, purrr, readxl, rvest, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse
VignetteBuilder: knitr
URL: https://vgxhc.github.io/ntdr/
NeedsCompilation: no
Packaged: 2023-05-27 22:50:23 UTC; user1
Author: Harald Kliems [cre, aut, cph]
Maintainer: Harald Kliems <kliems@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 07:10:02 UTC

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Mon, 29 May 2023

New package zonohedra with initial version 0.2-1
Package: zonohedra
Version: 0.2-1
Date: 2023-05-27
Title: Compute and Plot Zonohedra from Vector Generators
Depends: R (>= 4.0.0)
Imports: logger
Suggests: rgl, orientlib, microbenchmark, arrangements, knitr, rmarkdown, gifski
Description: Computes a zonohedron from real vector generators. The package also computes zonogons (2D zonotopes) and zonosegs (1D zonotopes). An elementary S3 class for matroids is included, which supports matroids with rank 3, 2, and 1. Optimization methods are taken from Heckbert (1985) <https://www.cs.cmu.edu/~ph/zono.ps.gz>.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
NeedsCompilation: yes
Biarch: no
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>
Repository: CRAN
VignetteBuilder: knitr
BuildVignettes: yes
ByteCompile: no
Packaged: 2023-05-27 16:41:32 UTC; Glenn
Date/Publication: 2023-05-29 19:10:02 UTC

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New package ScatterDensity with initial version 0.0.1
Package: ScatterDensity
Title: Density Estimation and Visualization of 2D Scatter Plots
Version: 0.0.1
Date: 2023-05-28
Maintainer: Michael Thrun <m.thrun@gmx.net>
Description: The user has the option to utilize the two-dimensional density estimation techniques called smoothed density published by Eilers and Goeman (2004) <doi:10.1093/bioinformatics/btg454>, and pareto density which was evaluated for univariate data by Thrun, Gehlert and Ultsch, 2020 <doi:10.1371/journal.pone.0238835>. Moreover, it provides visualizations of the density estimation in the form of two-dimensional scatter plots in which the points are color-coded based on increasing density. Colors are defined by the one-dimensional clustering technique called 1D distribution cluster algorithm (DDCAL) published by Lux and Rinderle-Ma (2023) <doi:10.1007/s00357-022-09428-6>.
LazyLoad: yes
Imports: Rcpp, pracma
Suggests: DataVisualizations, ggplot2, ggExtra, plotly, FCPS, parallelDist, secr, ClusterR
Depends: methods, R (>= 2.10)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
License: GPL-3
Encoding: UTF-8
URL: https://www.deepbionics.org/
BugReports: https://github.com/Mthrun/ScatterDensity/issues
Packaged: 2023-05-28 09:12:38 UTC; MCT
Author: Michael Thrun [aut, cre, cph] , Felix Pape [aut, rev], Luca Brinkman [aut]
Repository: CRAN
Date/Publication: 2023-05-29 19:10:07 UTC

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New package matrixset with initial version 0.1.1
Package: matrixset
Title: Creating and Manipulating Matrix Ensemble
Version: 0.1.1
Description: Creates an object that stores a matrix ensemble, matrices that share the same common properties, where rows and columns can be annotated. Matrices must have the same dimension and dimnames. Operators to manipulate these objects are provided as well as mechanisms to apply functions to these objects.
Imports: cli, crayon, dplyr, methods, pillar, purrr, R6, Rcpp, rlang, stringr, tibble, tidyr, tidyselect, vctrs
License: MIT + file LICENSE
URL: https://github.com/pascalcroteau/matrixset
BugReports: https://github.com/pascalcroteau/matrixset/issues
Encoding: UTF-8
LazyData: true
Suggests: MASS, ggfortify, knitr, lme4, magrittr, patchwork, rmarkdown, testthat (>= 3.0.0), tidyverse
Depends: R (>= 4.0)
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-05-28 15:06:55 UTC; pc
Author: Pascal Croteau [aut, cre, cph]
Maintainer: Pascal Croteau <croteaupascl@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-29 19:30:02 UTC

More information about matrixset at CRAN
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New package EEAaq with initial version 0.0.1
Package: EEAaq
Title: Handle Air Quality Data from the European Environmental Agency Data Portal
Version: 0.0.1
Description: This software downloads and manages air quality data at the European level from the European Environmental Agency (EEA) dataflows (<https://www.eea.europa.eu/data-and-maps/data/aqereporting-9>). The package allows dynamically mapping the stations, summarising and time aggregating the measurements and building spatial interpolation maps. See the webpage <https://www.eea.europa.eu/en> for further information on EEA's activities and history.
Imports: sf,readr,gstat,grDevices,leaflet,tictoc,sp, raster,mondate,aweek,ggspatial,htmlwidgets, dplyr,ggplot2,lubridate,stringr,tibble,tidyr
Suggests: purrr,ggpubr,gifski
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2023-05-27 14:52:28 UTC; Agostino
Author: Agostino Tassan Mazzocco [aut, cre, cph], Paolo Maranzano [aut, cph] , Riccardo Borgoni [aut, cph]
Maintainer: Agostino Tassan Mazzocco <agostino.tassan@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-29 19:00:02 UTC

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New package nlpsem with initial version 0.1.0
Package: nlpsem
Title: Linear and Nonlinear Longitudinal Process in Structural Equation Modeling Framework
Version: 0.1.0
Description: Provides computational resources for nonlinear longitudinal models, specifically those that are intrinsically nonlinear, in four distinct contexts: (1) univariate longitudinal processes represented by latent variables, with an option of incorporating covariates such as time-invariant covariates (TICs) and time-varying covariates (TVCs); (2) multivariate longitudinal sequences that facilitate the assessment of correlations or causative relationships between longitudinal variables; (3) multiple-group structures for models found in scenarios (1) and (2), allowing for the exploration of disparities among manifested classes; and (4) mixture models for scenarios (1) and (2), premised on the assumption that trajectories are from multiple latent classes. The methods implemented are based on Peugh & Fan (2015) <doi:10.1080/10705511.2014.919823>, Lubke & Muthén (2007) <doi:10.1080/10705510709336735>, Casella & Berger (2002, ISBN: 9780534243128), Madansky (1965) <https: [...truncated...]
License: GPL (>= 3.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: OpenMx, ggplot2, dplyr, tidyr, stringr, Matrix, nnet, readr
URL: https://github.com/Veronica0206/nlpsem
BugReports: https://github.com/Veronica0206/nlpsem/issues
NeedsCompilation: no
Packaged: 2023-05-25 03:24:57 UTC; jinliu
Author: Jin Liu [aut, cre]
Maintainer: Jin Liu <Veronica.Liu0206@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-29 17:20:02 UTC

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New package MVPBT with initial version 1.1-1
Package: MVPBT
Title: Publication Bias Tests for Meta-Analysis of Diagnostic Accuracy Test
Version: 1.1-1
Date: 2023-05-26
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Generalized Egger tests for detecting publication bias in meta-analysis for diagnostic accuracy test (Noma (2020) <doi:10.1111/biom.13343>, Noma (2022) <doi:10.48550/arXiv.2209.07270>). These publication bias tests are generally more powerful compared with the conventional univariate publication bias tests and can incorporate correlation information between the outcome variables.
Imports: stats, MASS, metafor, mada, mvmeta
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-26 01:30:04 UTC; Hisashi
Author: Hisashi Noma [aut, cre]
Repository: CRAN
Date/Publication: 2023-05-29 17:30:07 UTC

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New package EntropicStatistics with initial version 0.1.0
Package: EntropicStatistics
Title: Functions Based on Entropic Statistics
Version: 0.1.0
Maintainer: Jialin Zhang (JZ) <jzhang@math.msstate.edu>
Description: Contains methods for data analysis in entropic perspective. These entropic perspective methods are nonparametric, and perform better on non-ordinal data. Currently, the package has a function HeatMap() for visualizing distributional characteristics among multiple populations (groups).
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, ggrepel, hrbrthemes, tidyverse, dplyr, tidyr, tibble
NeedsCompilation: no
Suggests: testthat (>= 3.0.0)
Packaged: 2023-05-26 19:09:31 UTC; jz505
Author: Jialin Zhang [aut, cph, cre]
Repository: CRAN
Date/Publication: 2023-05-29 17:40:02 UTC

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New package EBEN with initial version 5.1
Package: EBEN
Title: Empirical Bayesian Elastic Net
Version: 5.1
Date: 2023-5-28
Author: Anhui Huang
Maintainer: Anhui Huang <anhuihuang@gmail.com>
Description: Provides the Empirical Bayesian Elastic Net for handling multicollinearity in generalized linear regression models. As a special case of the 'EBglmnet' package (also available on CRAN), this package encourages a grouping effects to select relevant variables and estimate the corresponding non-zero effects.
License: GPL
Packaged: 2023-05-29 02:52:26 UTC; anhui
Depends: R (>= 2.10)
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2023-05-29 16:40:02 UTC

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Sun, 28 May 2023

New package crosstable with initial version 0.6.2
Package: crosstable
Title: Crosstables for Descriptive Analyses
Version: 0.6.2
Description: Create descriptive tables for continuous and categorical variables. Apply summary statistics and counting function, with or without a grouping variable, and create beautiful reports using 'rmarkdown' or 'officer'. You can also compute effect sizes and statistical tests if needed.
License: GPL-3
URL: https://danchaltiel.github.io/crosstable/, https://github.com/DanChaltiel/crosstable/
BugReports: https://github.com/DanChaltiel/crosstable/issues/
Depends: R (>= 3.1.0)
Imports: checkmate (>= 1.9.0), cli (>= 3.0.0), dplyr (>= 1.1.0), flextable (>= 0.5.1), forcats (>= 1.0.0), glue (>= 1.3.0), lifecycle (>= 0.2.0), methods, officer (>= 0.4.0), purrr (>= 0.2.3), rlang (>= 1.0.0), stats, stringr (>= 1.4.0), tibble (>= 1.1), tidyr (>= 1.0.0), utils,
Suggests: callr, covr, crayon, xml2, digest, gt, expss, ggplot2, gmodels, Hmisc, jsonlite, knitr, openxlsx, rmarkdown, sloop, stringi, survival, systemfonts, tidyselect, testthat (>= 3.0.0), withr, waldo
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-27 08:29:22 UTC; Dan
Author: Dan Chaltiel [aut, cre] , David Hajage [ccp]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-28 23:50:02 UTC

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Fri, 26 May 2023

New package WhatsR with initial version 1.0
Package: WhatsR
Title: Parsing, Anonymizing and Visualizing Exported 'WhatsApp' Chat Logs
Version: 1.0
Date: 2023-04-27
Author: Julian Kohne <julian.kohne@gesis.org>
Maintainer: Julian Kohne <julian.kohne@gesis.org>
Description: Imports 'WhatsApp' chat logs and parses them into a usable dataframe object. The parser works on chats exported from Android or iOS phones and on Linux, MacOS and Windows. The parser has multiple options for extracting smilies and emojis from the messages, extracting urls and domains from the messages, extracting names and types of sent media files from the messages, extracting timestamps from messages, extracting and anonymizing author names from messages. Can be used to create anonymized versions of data.
License: GPL-3
Imports: stringi, qdapRegex, readr, tokenizers, rvest, XML, xml2, data.table, ggplot2, anytime, ggmap, mgsub, stats, qdap, ggwordcloud, dplyr, ragg, checkmate, visNetwork, lubridate, methods
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-26 10:17:52 UTC; juko
Repository: CRAN
Date/Publication: 2023-05-26 19:10:02 UTC

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New package voi with initial version 1.0
Package: voi
Title: Expected Value of Information
Version: 1.0
Date: 2023-05-26
Description: Methods to calculate the expected value of information from a decision-analytic model. This includes the expected value of perfect information (EVPI), partial perfect information (EVPPI) and sample information (EVSI), and the expected net benefit of sampling (ENBS). A range of alternative computational methods are provided under the same user interface. See Jackson et al. (2022) <doi:10.1146/annurev-statistics-040120-010730>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
Imports: mgcv, earth, mvtnorm, progress, dbarts, posterior, ggplot2, gridExtra, Matrix
Suggests: testthat, BCEA, INLA, splancs, knitr, rmarkdown, rjags, truncnorm, scales, dplyr, heemod
URL: https://chjackson.github.io/voi/
BugReports: https://github.com/chjackson/voi/issues
Additional_repositories: https://inla.r-inla-download.org/R/stable/
NeedsCompilation: no
Packaged: 2023-05-26 17:02:22 UTC; Chris
Author: Christopher Jackson [aut, cre], Anna Heath [aut], Gianluca Baio [ctb] , Mark Strong [ctb] , Kofi Placid Adragni [ctb] , Andrew Raim [ctb]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Repository: CRAN
Date/Publication: 2023-05-26 19:30:02 UTC

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New package nonmem2rx with initial version 0.1.0
Package: nonmem2rx
Title: 'nonmem2rx' Converts 'NONMEM' Models to 'rxode2'
Version: 0.1.0
Maintainer: Matthew Fidler <matt.fidler@novartis.com>
Description: 'NONMEM' has been a tool for running nonlinear mixed effects models since the 80s and is still used today (Bauer 2019 <doi:10.1002/psp4.12404>). This tool allows you to convert 'NONMEM' models to 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) and with simple models 'nlmixr2' syntax (Fidler et al (2019) <doi:10.1002/psp4.12445>). The 'nlmixr2' syntax requires the residual specification to be included and it is not always translated. If available, the 'rxode2' model will read in the 'NONMEM' data and compare the simulation for the population model ('PRED') individual model ('IPRED') and residual model ('IWRES') to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rx [...truncated...]
License: GPL (>= 3)
URL: https://nlmixr2.github.io/nonmem2rx/, https://github.com/nlmixr2/nonmem2rx/
Encoding: UTF-8
LinkingTo: dparser, Rcpp, rxode2parse
Imports: checkmate, digest, dparser, lotri, Rcpp, rxode2, magrittr, cli, tools, utils, data.table, qs, xml2, ggplot2, ggforce, crayon
Suggests: devtools, testthat (>= 3.0.0), nonmemica, NMdata, nonmem2R, withr, nlme, dplyr, xgxr, vdiffr, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2023-05-26 14:51:51 UTC; matt
Author: Matthew Fidler [aut, cre] , Philip Delff [ctb], Gabriel Staples [ctb]
Repository: CRAN
Date/Publication: 2023-05-26 19:20:02 UTC

More information about nonmem2rx at CRAN
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New package rebib with initial version 0.2.2
Package: rebib
Title: Convert and Aggregate Bibliographies
Version: 0.2.2
Description: Authors working with 'LaTeX' articles use the built-in bibliography options and 'BibTeX' files. While this might work with 'LaTeX', it does not function well with Web articles. As a way out, 'rebib' offers tools to convert and combine bibliographies from both sources.
License: MIT + file LICENSE
URL: https://github.com/Abhi-1U/rebib#readme
BugReports: https://github.com/Abhi-1U/rebib/issues
Encoding: UTF-8
Imports: tools, stringr, logger, xfun
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2023-05-26 06:31:08 UTC; abhi
Author: Abhishek Ulayil [aut, cre, cph] , Heather Turner [ctb] , Christophe Dervieux [ctb] , Mitchell O'Hara-Wild [ctb] , Dianne Cook [ctb]
Maintainer: Abhishek Ulayil <perricoq@outlook.com>
Repository: CRAN
Date/Publication: 2023-05-26 18:50:02 UTC

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New package bayesRecon with initial version 0.1.0
Package: bayesRecon
Date: 2023-05-25
Title: Probabilistic Reconciliation via Conditioning
Version: 0.1.0
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>
Description: Provides methods for probabilistic reconciliation of hierarchical forecasts of time series. The available methods include analytical Gaussian reconciliation (Corani et al., 2021) <doi:10.1007/978-3-030-67664-3_13>, MCMC reconciliation of count time series (Corani et al., 2022) <doi:10.48550/arXiv.2207.09322>, Bottom-Up Importance Sampling (Zambon et al., 2022) <doi:10.48550/arXiv.2210.02286>.
License: LGPL (>= 3)
Depends: R (>= 4.1.0)
Imports: stats, utils, lpSolve (>= 5.6.18)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-26 08:33:23 UTC; dario.azzimonti
Author: Dario Azzimonti [aut, cre] , Nicolo Rubattu [aut] , Lorenzo Zambon [aut] , Giorgio Corani [aut]
Repository: CRAN
Date/Publication: 2023-05-26 18:50:05 UTC

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New package altdoc with initial version 0.2.0
Package: altdoc
Title: Use 'Docsify.js', 'Docute', or 'Mkdocs' to Generate a Package Documentation
Version: 0.2.0
Description: Most developers use 'pkgdown' to create a website for their packages. Other documentation generators exist, such as 'Docute', 'Docsify.js', or 'Mkdocs'. The aim of 'altdoc' is to provide helpers to create, populate, update, and preview websites made with these tools.
License: MIT + file LICENSE
URL: https://github.com/etiennebacher/altdoc
BugReports: https://github.com/etiennebacher/altdoc/issues
Imports: cli, desc, fs, here, htmltools, rmarkdown, rstudioapi, servr, tinkr, tools, usethis, utils, xml2, yaml
Suggests: covr, spelling, testthat (>= 3.0.0), withr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-05-26 07:13:17 UTC; etienne
Author: Etienne Bacher [aut, cre, cph]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>
Repository: CRAN
Date/Publication: 2023-05-26 18:50:08 UTC

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New package spfa with initial version 1.0
Package: spfa
Title: Semi-Parametric Factor Analysis
Version: 1.0
Date: 2023-04-25
Maintainer: Yang Liu <yliu87@umd.edu>
Description: Estimation, scoring, and plotting functions for the semi-parametric factor model proposed by Liu & Wang (2022) <doi:10.1007/s11336-021-09832-8> and Liu & Wang (2023) <arXiv:2303.10079>. Both the conditional densities of observed responses given the latent factors and the joint density of latent factors are estimated non-parametrically. Functional parameters are approximated by smoothing splines, whose coefficients are estimated by penalized maximum likelihood using an expectation-maximization (EM) algorithm. E- and M-steps can be parallelized on multi-thread computing platforms that support 'OpenMP'. Both continuous and unordered categorical response variables are supported.
License: MIT + file LICENSE
Imports: graphics, Rcpp
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
Encoding: UTF-8
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2023-05-26 00:43:04 UTC; wwang
Author: Yang Liu [cre, aut], Weimeng Wang [aut, ctb]
Repository: CRAN
Date/Publication: 2023-05-26 08:20:02 UTC

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New package bioSNR with initial version 1.0
Package: bioSNR
Title: Bioacoustic Basic Operations with Decibels and the Passive Sonar Equation
Version: 1.0
Description: A beginners toolbox to help those in ecology who want to deepen their understanding or utilize Bioacoustics in their work. The package has a number of utilizations from calculating frequency from waveform, performing operations in dB, and determining acoustic range of recorders. The majority of this package is based on key concepts learned from the K. Lisa Yang Center for Conservation Bioacoustics at Cornell University and their associated course: Introduction to Bioacoustics course. More information can be found within the walk through vignettes at <https://github.com/MattyD797/bioSNR/tree/main/vignettes>.
Encoding: UTF-8
Imports: dplyr, ggplot2, pracma, scales, stats
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
License: GPL (>= 3)
Maintainer: Matthew Duggan <mtd72@cornell.edu>
NeedsCompilation: no
Packaged: 2023-05-25 20:07:45 UTC; mattyd797
Author: Matthew Duggan [aut, cre] , Marissa Garcia [aut]
Repository: CRAN
Date/Publication: 2023-05-26 08:20:05 UTC

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New package optic with initial version 1.0.0
Package: optic
Title: Simulation Tool for Causal Inference Using Longitudinal Data
Version: 1.0.0
Description: Implements a simulation study to assess the strengths and weaknesses of causal inference methods for estimating policy effects using panel data. See Griffin et al. (2021) <doi:10.1007/s10742-022-00284-w> and Griffin et al. (2022) <doi:10.1186/s12874-021-01471-y> for a description of our methods.
License: GPL-3
URL: https://randcorporation.github.io/optic/, https://github.com/randcorporation/optic
BugReports: https://github.com/randcorporation/optic/issues
Depends: R (>= 4.1.0)
Imports: did, dplyr, future.apply, lmtest, magrittr, MASS, methods, purrr, R6, rlang, sandwich, stats, tidyr, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-25 12:00:11 UTC; plima
Author: Beth Ann Griffin [aut, cph] , Pedro Nascimento de Lima [cre, aut] , Max Griswold [aut] , Adam Scherling [aut], Joseph Pane [aut], Geoffrey Grimm [aut]
Maintainer: Pedro Nascimento de Lima <plima@rand.org>
Repository: CRAN
Date/Publication: 2023-05-26 07:50:02 UTC

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New package covidnor with initial version 2023.05.18
Package: covidnor
Title: Public COVID-19 Data for Norway
Version: 2023.05.18
Description: Publicly available COVID-19 data for Norway cleaned and merged into one dataset, including PCR confirmed cases, tests, hospitalisation and vaccination.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
URL: https://www.csids.no/covidnor/, https://github.com/csids/covidnor
BugReports: https://github.com/csids/covidnor/issues
Encoding: UTF-8
LazyData: true
Imports: data.table
Suggests: testthat, knitr, rmarkdown, rstudioapi, glue, magrittr, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-25 14:42:44 UTC; andrea
Author: Chi Zhang [aut, cre] , Richard Aubrey White [aut] , CSIDS [cph], Folkehelseinstituttet [ctb]
Maintainer: Chi Zhang <andreachizhang@yahoo.com>
Repository: CRAN
Date/Publication: 2023-05-26 08:00:08 UTC

More information about covidnor at CRAN
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New package caplot with initial version 0.1
Package: caplot
Title: Correspondence Analysis with Geometric Frequency Interpretation
Version: 0.1
Description: Performs Correspondence Analysis on the given dataframe and plots the results in a scatterplot that emphasizes the geometric interpretation aspect of the analysis, following Yelland (2010). It is particularly useful for highlighting the relationships between a selected row (or column) category and the column (or row) categories. See Yelland (2010) <doi:10.3888/tmj.12-4>.
Depends: R (>= 4.0.0)
Imports: ca (>= 0.71), ggplot2 (>= 3.4.0), ggrepel (>= 0.9.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-25 17:28:27 UTC; gianmarcoalberti
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-26 08:00:10 UTC

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Thu, 25 May 2023

New package sqlHelpers with initial version 0.1.0
Package: sqlHelpers
Title: Collection of 'SQL' Utilities for 'T-SQL' and 'Postgresql'
Version: 0.1.0
Description: Includes functions for interacting with common meta data fields, writing insert statements, calling functions, and more for 'T-SQL' and 'Postgresql'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: data.table, toolbox
Imports: DBI, odbc, parallel, stringi
NeedsCompilation: no
Packaged: 2023-05-25 02:12:34 UTC; tim
Author: Timothy Conwell [aut, cre]
Maintainer: Timothy Conwell <timconwell@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-25 20:20:03 UTC

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New package countDM with initial version 0.1.0
Package: countDM
Title: Estimation of Count Data Models
Version: 0.1.0
Author: Muhammad Imran [aut, cre], M.H. Tahir [aut], Saima Shakoor [aut]
Maintainer: Muhammad Imran <imranshakoor84@yahoo.com>
Depends: R (>= 4.0)
Imports: lamW, stats, numbers, maxLik, miscTools
Description: The maximum likelihood estimation (MLE) of the count data models along with standard error of the estimates and Akaike information model section criterion are provided. The functions allow to compute the MLE for the following distributions such as the Bell distribution, the Borel distribution, the Poisson distribution, zero inflated Bell distribution, zero inflated Bell Touchard distribution, zero inflated Poisson distribution, zero one inflated Bell distribution and zero one inflated Poisson distribution. Moreover, the probability mass function (PMF), distribution function (CDF), quantile function (QF) and random numbers generation of the Bell Touchard and zero inflated Bell Touchard distribution are also provided.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-24 17:44:35 UTC; CRS
Repository: CRAN
Date/Publication: 2023-05-25 20:10:02 UTC

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New package CooRTweet with initial version 1.3
Package: CooRTweet
Version: 1.3
Date: 2023-05-17
Title: Coordinated Networks Detection on Social Media
Description: Detects a variety of coordinated actions on Twitter and outputs the network of coordinated users along with related information.
Author: Nicola Righetti [aut, cre] , Paul Balluff [aut]
Maintainer: Nicola Righetti <nicola.righetti@univie.ac.at>
URL: https://github.com/nicolarighetti/CooRTweet
BugReports: https://github.com/nicolarighetti/CooRTweet/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, tidytable, RcppSimdJson, Matrix, lubridate, igraph, stringi
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-24 18:41:11 UTC; righetti
Repository: CRAN
Date/Publication: 2023-05-25 20:20:05 UTC

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New package optical with initial version 1.7.1
Package: optical
Title: Optimal Item Calibration
Version: 1.7.1
Date: 2023-05-24
Depends: R (>= 4.1.0)
Description: The restricted optimal design method is implemented to optimally allocate a set of items that require calibration to a group of examinees. The optimization process is based on the method described in detail by Ul Hassan and Miller in their works published in (2019) <doi:10.1177/0146621618824854> and (2021) <doi:10.1016/j.csda.2021.107177>. To use the method, preliminary item characteristics must be provided as input. These characteristics can either be expert guesses or based on previous calibration with a small number of examinees. The item characteristics should be described in the form of parameters for an Item Response Theory (IRT) model. These models can include the Rasch model, the 2-parameter logistic model, the 3-parameter logistic model, or a mixture of these models. The output consists of a set of rules for each item that determine which examinees should be assigned to each item. The efficiency or gain achieved through the optimal design is quantified by comparing [...truncated...]
Author: Mahmood Ul Hassan [aut, cre] , Frank Miller [aut]
Encoding: UTF-8
License: GPL (>= 3)
License_restricts_use: no
Repository: CRAN
Maintainer: Mahmood Ul Hassan <scenic555@gmail.com>
BugReports: https://github.com/scenic555/optical/issues
URL: https://scenic555.github.io/optical/, https://github.com/scenic555/optical
Language: en-GB
Imports: stats
NeedsCompilation: no
Packaged: 2023-05-24 13:46:02 UTC; sceni
Date/Publication: 2023-05-25 20:00:02 UTC

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New package jsonNormalize with initial version 1.0.0
Package: jsonNormalize
Title: Normalization of 'JSON' Strings
Version: 1.0.0
Description: Provides a function allowing to normalize a 'JSON' string, for example by adding double quotes around the keys when they are missing. Also provides 'RStudio' addins for the same purpose.
License: GPL-3
URL: https://github.com/stla/jsonNormalize
BugReports: https://github.com/stla/jsonNormalize/issues
Imports: rstudioapi, V8
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-24 11:20:44 UTC; stla
Author: Stephane Laurent [aut, cre], David Kaye [aut, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2023-05-25 20:00:05 UTC

More information about jsonNormalize at CRAN
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New package HydroPortailStats with initial version 1.0.3
Package: HydroPortailStats
Title: 'HydroPortail' Statistical Functions
Version: 1.0.3
Description: Statistical functions used in the French 'HydroPortail' <https://hydro.eaufrance.fr/>. This includes functions to estimate distributions, quantile curves and uncertainties, along with various other utilities. Technical details are available (in French) in Renard (2016) <https://hal.inrae.fr/hal-02605318>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, graphics, evd, mvtnorm, numDeriv
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-05-24 10:20:42 UTC; brenard
Author: Benjamin Renard [aut, cre, cph] , INRAE [fnd], Ministere de la Transition Ecologique - SCHAPI [fnd], European Commission [fnd]
Maintainer: Benjamin Renard <benjamin.renard@inrae.fr>
Repository: CRAN
Date/Publication: 2023-05-25 19:50:06 UTC

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New package gFormulaMI with initial version 1.0.0
Package: gFormulaMI
Title: G-Formula for Causal Inference via Multiple Imputation
Version: 1.0.0
Description: Implements the G-Formula method for causal inference with time-varying treatments and confounders using Bayesian multiple imputation methods, as described by Bartlett, Olarte Parra and Daniel (2023) <arXiv:2301.12026>. It creates multiple synthetic imputed datasets under treatment regimes of interest using the 'mice' package. These can then be analysed using rules developed for analysing multiple synthetic datasets.
License: GPL (>= 3)
Encoding: UTF-8
Imports: mice
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
URL: https://jwb133.github.io/gFormulaMI/
NeedsCompilation: no
Packaged: 2023-05-24 11:19:43 UTC; lshjb12
Author: Jonathan Bartlett [aut, cre] , Camila Olarte Parra [ctb] , Erik van Zwet [ctb]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2023-05-25 20:00:08 UTC

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New package echo with initial version 0.1.0
Package: echo
Title: Echo Code Evaluations
Version: 0.1.0
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>
Description: Capture code evaluations and script executions by expressions, outputs, and condition calls for logging.
License: MIT + file LICENSE
Depends: R (>= 3.6)
Imports: utils
Suggests: covr, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/jmbarbone/echo, https://jmbarbone.github.io/echo/
BugReports: https://github.com/jmbarbone/echo/issues
Language: en-US
NeedsCompilation: no
Packaged: 2023-05-22 15:04:53 UTC; jordan
Author: Jordan Mark Barbone [aut, cph, cre]
Repository: CRAN
Date/Publication: 2023-05-25 20:00:12 UTC

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New package agghoo with initial version 0.1-0
Package: agghoo
Encoding: UTF-8
Title: Aggregated Hold-Out Cross Validation
Date: 2023-05-23
Version: 0.1-0
Description: The 'agghoo' procedure is an alternative to usual cross-validation. Instead of choosing the best model trained on V subsamples, it determines a winner model for each subsample, and then aggregates the V outputs. For the details, see "Aggregated hold-out" by Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle (2021) <arXiv:1909.04890> published in Journal of Machine Learning Research 22(20):1--55.
Depends: R (>= 3.5.0)
Imports: class, parallel, R6, rpart, FNN
Suggests: roxygen2, mlbench
URL: https://git.auder.net/?p=agghoo.git
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2023-05-24 10:06:45 UTC; auder
Author: Sylvain Arlot [ctb], Benjamin Auder [aut, cre, cph], Melina Gallopin [ctb], Matthieu Lerasle [ctb], Guillaume Maillard [ctb]
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>
Repository: CRAN
Date/Publication: 2023-05-25 19:50:02 UTC

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New package GenEst with initial version 1.4.9
Package: GenEst
Title: Generalized Mortality Estimator
Version: 1.4.9
Date: 2023-05-25
Description: Command-line and 'shiny' GUI implementation of the GenEst models for estimating bird and bat mortality at wind and solar power facilities, following Dalthorp, et al. (2018) <doi:10.3133/tm7A2>.
Depends: R (>= 3.5.0)
License: CC0
Encoding: UTF-8
LazyData: true
Imports: DT, gsl, gtools, hellno, htmltools, lubridate, MASS, matrixStats, mvtnorm, Rcpp, shiny (>= 1.4.0), shinyjs, survival
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-05-25 13:12:29 UTC; ddalt
Author: Daniel Dalthorp [aut, cre], Juniper Simonis [aut], Lisa Madsen [aut], Manuela Huso [aut], Paul Rabie [aut], Jeffrey Mintz [aut], Robert Wolpert [aut], Jared Studyvin [aut], Franzi Korner-Nievergelt [aut]
Maintainer: Daniel Dalthorp <ddalthorp@protonmail.com>
Repository: CRAN
Date/Publication: 2023-05-25 16:10:03 UTC

More information about GenEst at CRAN
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New package hSDM with initial version 1.4.2
Package: hSDM
Title: Hierarchical Bayesian Species Distribution Models
Version: 1.4.2
Date: 2023-05-25
Imports: coda
NeedsCompilation: yes
SystemRequirements: GNU GSL
Suggests: knitr, raster, sp, rmarkdown, bookdown
Maintainer: Ghislain Vieilledent <ghislain.vieilledent@cirad.fr>
Description: User-friendly and fast set of functions for estimating parameters of hierarchical Bayesian species distribution models (Latimer and others 2006 <doi:10.1890/04-0609>). Such models allow interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.
License: GPL-3
URL: https://ecology.ghislainv.fr/hSDM/, https://github.com/ghislainv/hSDM/
BugReports: https://github.com/ghislainv/hSDM/issues/
LazyLoad: yes
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2023-05-25 09:58:05 UTC; ghislain
Author: Ghislain Vieilledent [aut, cre] , Matthieu Autier [ctb], Alan E. Gelfand [ctb], Jerome Guelat [ctb], Marc Kery [ctb], Andrew M. Latimer [ctb], Cory Merow [ctb], Frederic Mortier [ctb], John A. Silander Jr. [ctb], Adam M. Wilson [ctb], Shanshan Wu [ct [...truncated...]
Repository: CRAN
Date/Publication: 2023-05-25 13:00:02 UTC

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New package RevGadgets with initial version 1.1.1
Package: RevGadgets
Title: Visualization and Post-Processing of 'RevBayes' Analyses
Version: 1.1.1
Maintainer: Carrie Tribble <ctribble09@gmail.com>
Description: Processes and visualizes the output of complex phylogenetic analyses from the 'RevBayes' phylogenetic graphical modeling software.
URL: https://github.com/revbayes/RevGadgets, https://revbayes.github.io/tutorials/intro/revgadgets
BugReports: https://github.com/revbayes/RevGadgets/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: ape (>= 5.4), phytools (>= 0.7-70), dplyr (>= 1.0.0), ggtree (>= 3.6.1), tidytree (>= 0.3.4), treeio (>= 1.12.0), ggplot2 (>= 3.4.0), reshape (>= 0.8.8), methods (>= 4.1.0), ggthemes (>= 4.2.0), tidyr (>= 1.1.0), tibble (>= 3.0.1), gginnards (>= 0.0.3), ggplotify (>= 0.0.5), ggpp, ggimage, png (>= 0.1-7), stats (>= 4.0.1), utils (>= 4.0.1), grDevices (>= 4.0.1), deeptime (>= 0.1.0), scales (>= 1.1.1)
Suggests: testthat, knitr, rmarkdown, phangorn
NeedsCompilation: no
Packaged: 2023-05-24 20:04:29 UTC; carrietribble
Author: Carrie Tribble [aut, cre] , Michael R. May [aut], William A. Freyman [aut], Michael J. Landis [aut], Lim Jun Ying [aut], Joelle Barido-Sottani [aut], Andrew Magee [aut], Bjorn Tore Kopperud [aut], Sebastian Hohna [aut], Nagashima Kengo [ctb], Schliep [...truncated...]
Repository: CRAN
Date/Publication: 2023-05-25 07:40:11 UTC

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New package emuR with initial version 2.4.0
Package: emuR
Version: 2.4.0
Date: 2023-05-17
Title: Main Package of the EMU Speech Database Management System
Description: Provide the EMU Speech Database Management System (EMU-SDMS) with database management, data extraction, data preparation and data visualization facilities. See <https://ips-lmu.github.io/The-EMU-SDMS-Manual/> for more details.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: tools, utils, graphics, methods, rlang, stringr (>= 1.4.0), uuid, base64enc, shiny, wrassp (>= 0.1.4), jsonlite (>= 1.6.1), RSQLite (>= 2.0.0), DBI (>= 0.3.1), httpuv (>= 1.3.2), dplyr (>= 0.7.8), readr (>= 1.1.1), tibble (>= 1.4.2), purrr (>= 0.2.4), tidyr(>= 0.8.2), mime(>= 0.6), rstudioapi(>= 0.10), httr(>= 1.4.1), V8(>= 3.4.0), cli(>= 2.5.0)
Suggests: stats, grDevices, MASS, ggplot2(>= 2.1.0), testthat(>= 0.7.1.99), compare(>= 0.2.4), knitr(>= 1.7), rmarkdown(>= 0.9.2)
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
ZipData: no
URL: https://github.com/IPS-LMU/emuR, https://ips-lmu.github.io/The-EMU-SDMS-Manual/
BugReports: https://github.com/IPS-LMU/emuR/issues
NeedsCompilation: no
Packaged: 2023-05-24 15:59:51 UTC; markus
Author: Markus Jochim [aut, cre] , Raphael Winkelmann [aut], Klaus Jaensch [aut, ctb], Steve Cassidy [aut, ctb], Jonathan Harrington [aut, ctb]
Maintainer: Markus Jochim <markusjochim@phonetik.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2023-05-25 08:00:02 UTC

More information about emuR at CRAN
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Wed, 24 May 2023

New package lightsout with initial version 0.3.1
Package: lightsout
Title: Implementation of the 'Lights Out' Puzzle Game
Version: 0.3.1
Description: Lights Out is a puzzle game consisting of a grid of lights that are either on or off. Pressing any light will toggle it and its adjacent lights. The goal of the game is to switch all the lights off. This package provides an interface to play the game on different board sizes, both through the command line or with a visual application. Puzzles can also be solved using the automatic solver included. View a demo online at <https://daattali.com/shiny/lightsout/>.
URL: https://github.com/daattali/lightsout
BugReports: https://github.com/daattali/lightsout/issues
Depends: R (>= 3.0.0)
Imports: magrittr (>= 1.5), shiny (>= 0.10.0), shinyjs (>= 0.3.0), stats, utils
Suggests: knitr (>= 1.7), testthat (>= 0.9.1), rmarkdown
License: MIT + file LICENSE
SystemRequirements: pandoc with https support
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-04-01 22:26:36 UTC; Dean-X1C
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-02 15:10:02 UTC

More information about lightsout at CRAN
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New package ezknitr with initial version 0.6.2
Package: ezknitr
Title: Avoid the Typical Working Directory Pain When Using 'knitr'
Version: 0.6.2
Description: An extension of 'knitr' that adds flexibility in several ways. One common source of frustration with 'knitr' is that it assumes the directory where the source file lives should be the working directory, which is often not true. 'ezknitr' addresses this problem by giving you complete control over where all the inputs and outputs are, and adds several other convenient features to make rendering markdown/HTML documents easier.
URL: https://docs.ropensci.org/ezknitr/, https://github.com/ropensci/ezknitr
BugReports: https://github.com/ropensci/ezknitr/issues
Depends: R (>= 3.0.2)
Imports: knitr (>= 1.7), markdown (>= 0.7), R.utils (>= 1.34.0)
Suggests: testthat (>= 0.9.1), rmarkdown
License: MIT + file LICENSE
SystemRequirements: pandoc with https support
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-04-01 22:53:44 UTC; Dean-X1C
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-01 23:10:02 UTC

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New package ctmcd with initial version 1.4.3
Package: ctmcd
Title: Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data
Version: 1.4.3
Date: 2023-05-24
Description: Estimation of Markov generator matrices from discrete-time observations. The implemented approaches comprise diagonal and weighted adjustment of matrix logarithm based candidate solutions as in Israel (2001) <doi:10.1111/1467-9965.00114> as well as a quasi-optimization approach. Moreover, the expectation-maximization algorithm and the Gibbs sampling approach of Bladt and Sorensen (2005) <doi:10.1111/j.1467-9868.2005.00508.x> are included.
License: GPL-3
Imports: Rcpp (>= 0.12.17), coda, expm, numDeriv
Suggests: knitr, rmarkdown, R.rsp
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr, R.rsp
NeedsCompilation: yes
Packaged: 2023-05-24 10:03:52 UTC; Stefan
Author: Marius Pfeuffer [aut, cre], Greig Smith [ctb], Goncalo dos Reis [ctb], Linda Moestel [ctb], Matthias Fischer [ctb]
Maintainer: Marius Pfeuffer <marius.pfeuffer@fau.de>
Repository: CRAN
Date/Publication: 2023-05-24 11:30:03 UTC

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New package argo with initial version 3.0.2
Package: argo
Title: Accurate Estimation of Influenza Epidemics using Google Search Data
Version: 3.0.2
Date: 2023-05-23
Author: Shaoyang Ning, Shihao Yang, S. C. Kou
Maintainer: Shihao Yang <shihao.yang@isye.gatech.edu>
Description: Augmented Regression with General Online data (ARGO) for accurate estimation of influenza epidemics in United States on national level, regional level and state level. It replicates the method introduced in paper Yang, S., Santillana, M. and Kou, S.C. (2015) <doi:10.1073/pnas.1515373112>; Ning, S., Yang, S. and Kou, S.C. (2019) <doi:10.1038/s41598-019-41559-6>; Yang, S., Ning, S. and Kou, S.C. (2021) <doi:10.1038/s41598-021-83084-5>.
License: GPL-2
Imports: xts, glmnet, zoo, XML, xtable, Matrix, boot
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-23 15:11:19 UTC; shihaoyang
Repository: CRAN
Date/Publication: 2023-05-24 11:20:14 UTC

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New package Rmalschains with initial version 0.2-10
Package: Rmalschains
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>
License: GPL-3
Title: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains)
LinkingTo: Rcpp
LazyLoad: yes
Description: An implementation of an algorithm family for continuous optimization called memetic algorithms with local search chains (MA-LS-Chains), as proposed in Molina et al. (2010) <doi:10.1162/evco.2010.18.1.18102> and Molina et al. (2011) <doi:10.1007/s00500-010-0647-2>. Rmalschains is further discussed in Bergmeir et al. (2016) <doi:10.18637/jss.v075.i04>. Memetic algorithms are hybridizations of genetic algorithms with local search methods. They are especially suited for continuous optimization.
Version: 0.2-10
Depends: Rcpp (>= 0.9.10)
Suggests: inline
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-05-23 14:56:08 UTC; bergmeir
Author: Christoph Bergmeir [aut, cre, cph], Jose M. Benitez [ths], Daniel Molina [aut, cph], Robert Davies [ctb, cph] , Dirk Eddelbuettel [ctb, cph] , Nikolaus Hansen [ctb, cph] , Richard J. Wagner [ctb, cph]
Repository: CRAN
Date/Publication: 2023-05-24 09:40:05 UTC

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New package LCMCR with initial version 0.4.13
Package: LCMCR
Title: Bayesian Non-Parametric Latent-Class Capture-Recapture
Version: 0.4.13
Date: 2023-05-23
Author: Daniel Manrique-Vallier
Description: Bayesian population size estimation using non parametric latent-class models.
Maintainer: Daniel Manrique-Vallier <dmanriqu@indiana.edu>
License: GPL (>= 2)
Depends: R (>= 3.5.1)
Imports: methods
SystemRequirements: Gnu Scientific Library version >= 2.5
NeedsCompilation: yes
Packaged: 2023-05-24 03:07:58 UTC; dm
Repository: CRAN
Date/Publication: 2023-05-24 09:40:08 UTC

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New package grpSLOPE with initial version 0.3.3
Package: grpSLOPE
Title: Group Sorted L1 Penalized Estimation
Version: 0.3.3
Description: Group SLOPE (Group Sorted L1 Penalized Estimation) is a penalized linear regression method that is used for adaptive selection of groups of significant predictors in a high-dimensional linear model. The Group SLOPE method can control the (group) false discovery rate at a user-specified level (i.e., control the expected proportion of irrelevant among all selected groups of predictors). For additional information about the implemented methods please see Brzyski, Gossmann, Su, Bogdan (2018) <doi:10.1080/01621459.2017.1411269>.
License: GPL-3
URL: https://github.com/agisga/grpSLOPE
BugReports: https://github.com/agisga/grpSLOPE/issues
LinkingTo: Rcpp
Imports: Rcpp
Suggests: testthat, knitr, rmarkdown, pander, isotone, SLOPE
VignetteBuilder: knitr
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2023-05-23 22:23:46 UTC; alexej
Author: Alexej Gossmann [aut, cre], Damian Brzyski [aut], Weijie Su [aut], Malgorzata Bogdan [aut], Ewout van den Berg [ctb] , Emmanuel Candes [ctb] , Chiara Sabatti [ctb] , Evan Patterson [ctb]
Maintainer: Alexej Gossmann <alexej.go@googlemail.com>
Repository: CRAN
Date/Publication: 2023-05-24 09:40:02 UTC

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New package twingp with initial version 1.0
Package: twingp
Title: A Fast Global-Local Gaussian Process Approximation
Version: 1.0
Date: 2023-05-15
Description: A global-local approximation framework for large-scale Gaussian process modeling. This work is supported by U.S. NSF grants CMMI-1921646 and DMREF-1921873.
License: GPL (>= 2)
Copyright: Eigen C++ library copyright details: https://gitlab.com/libeigen/eigen , nanoflann C++ library copyright details: https://github.com/jlblancoc/nanoflann
Depends: R (>= 3.0.2)
Imports: Rcpp, nloptr (>= 1.2.0)
LinkingTo: Rcpp, nloptr (>= 1.2.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-05-23 14:54:24 UTC; akhil
Author: Akhil Vakayil [aut, cre] , Roshan V. Joseph [aut, ths]
Maintainer: Akhil Vakayil <akhilv@gatech.edu>
Repository: CRAN
Date/Publication: 2023-05-24 08:20:02 UTC

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New package TFunHDDC with initial version 1.0.0
Package: TFunHDDC
Title: Clustering of Functional Data via Mixtures of t-Distributions
Version: 1.0.0
Date: 2023-05-23
Depends: fda.usc, R (>= 3.5.0)
Imports: tclust, stringr, MASS, fda
Description: Extension of 'funHDDC' Schmutz et al. (2018) <doi:10.1007/s00180-020-00958-4> for cases including outliers by fitting t-distributions for robust groups. 'TFunHDDC' can cluster univariate or multivariate data produced by the 'fda' package for data using a b-splines or Fourier basis.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2023-05-23 21:09:45 UTC; iain
Repository: CRAN
Author: Cristina Anton [aut, cre], Iain Smith [aut], Malcolm Nielsen [aut], Jeffrey Andrews [ctb], Jaymeson Wickins [ctb], Nicholas Boers [ctb], Paul McNicholas [ctb], Amandine Schmutz [ctb], Julien Jacques [ctb], Charles Bouveyron [ctb]
Maintainer: Cristina Anton <popescuc@macewan.ca>
Date/Publication: 2023-05-24 09:00:05 UTC

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New package RBE3 with initial version 1.0
Package: RBE3
Title: Estimation and Additional Tools for Quantile Generalized Beta Regression Model
Version: 1.0
Date: 2023-05-20
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut]
Maintainer: Diego Gallardo <diego.gallardo@uda.cl>
Description: Provide estimation and data generation tools for the quantile generalized beta regression model. For details, see Bourguignon, Gallardo and Saulo <arXiv:2110.04428> The package also provides tools to perform covariates selection.
Depends: R (>= 4.0.0), stats
Imports: pracma, gtools
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2023-05-23 15:13:10 UTC; Diego
Repository: CRAN
Date/Publication: 2023-05-24 08:30:06 UTC

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New package pgenlibr with initial version 0.3.3
Package: pgenlibr
Title: PLINK 2 Binary (.pgen) Reader
Version: 0.3.3
Date: 2023-05-23
Description: A thin wrapper over PLINK 2's core libraries which provides an R interface for reading .pgen files. A minimal .pvar loader is also included. Chang et al. (2015) <doi:10.1186/s13742-015-0047-8>.
License: LGPL (>= 3)
Copyright: This package includes sources of the libdeflate library owned by Eric Biggers, sources of the SIMDe library owned by Evan Nemerson, sources of the Zstd library owned by Meta Platforms, Inc., and sources of the pgenlib library owned by Christopher Chang.
BugReports: https://github.com/chrchang/plink-ng/issues
Imports: Rcpp (>= 1.0.1)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2023-05-23 14:23:11 UTC; chrchang
Author: Christopher Chang [aut, cre], Eric Biggers [ctb, cph] , Yann Collet [ctb] , Meta Platforms, Inc. [cph] , Evan Nemerson [ctb, cph] , Przemyslaw Skibinski [ctb] , Nick Terrell [ctb]
Maintainer: Christopher Chang <chrchang@alumni.caltech.edu>
Repository: CRAN
Date/Publication: 2023-05-24 08:20:05 UTC

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New package multibreakeR with initial version 0.1.0
Package: multibreakeR
Title: Tests for a Structural Change in Multivariate Time Series
Version: 0.1.0
Description: Flexible implementation of a structural change point detection algorithm for multivariate time series. It authorizes inclusion of trends, exogenous variables, and break test on the intercept or on the full vector autoregression system. Bai, Lumsdaine, and Stock (1998) <doi:10.1111/1467-937X.00051>.
License: GPL
Language: en-US
Imports: dplyr, ggplot2, reshape2, rlang (>= 0.4.11), scales, stats
Suggests: knitr, rmarkdown, roxygen2, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/loicym/multibreakeR
NeedsCompilation: no
Packaged: 2023-05-23 11:10:22 UTC; loicy
Author: Loic Marechal [cre, aut]
Maintainer: Loic Marechal <loic.marechal@unil.ch>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-05-24 08:20:08 UTC

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New package JUMP with initial version 1.0.1
Package: JUMP
Title: Replicability Analysis of High-Throughput Experiments
Version: 1.0.1
Description: Implementing a computationally scalable false discovery rate control procedure for replicability analysis based on maximum of p-values. Please cite the manuscript corresponding to this package [Lyu, P. et al., (2023), <https://www.biorxiv.org/content/10.1101/2023.02.13.528417v2>].
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.2), Rcpp, splines, stats
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-05-23 13:38:20 UTC; P53
Author: Pengfei Lyu [aut, ctb], Yan Li [aut, cre, cph], Xiaoquan Wen [aut], Hongyuan Cao [aut, ctb]
Maintainer: Yan Li <yanli_@jlu.edu.cn>
Repository: CRAN
Date/Publication: 2023-05-24 08:10:08 UTC

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New package ggautomap with initial version 0.3.2
Package: ggautomap
Title: Create Maps from a Column of Place Names
Version: 0.3.2
Description: Mapping tools that convert place names to coordinates on the fly. These 'ggplot2' extensions make maps from a data frame where one of the columns contains place names, without having to directly work with the underlying geospatial data and tools. The corresponding map data must be registered with 'cartographer' either by the user or by another package.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1),
Imports: cartographer (>= 0.2), cli (>= 3.4.0), dplyr (>= 1.0.0), ggmapinset (>= 0.3), ggplot2 (>= 3.4.2), packcircles (>= 0.3.4), rlang (>= 1.0.0), sf (>= 1.0), tidyr (>= 1.2.0), vctrs (>= 0.4.0)
URL: https://github.com/cidm-ph/ggautomap, https://cidm-ph.github.io/ggautomap/
BugReports: https://github.com/cidm-ph/ggautomap/issues
Suggests: ggrepel, knitr, nswgeo, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-23 23:15:45 UTC; csuster
Author: Carl Suster [aut, cre] , Western Sydney Local Health District, NSW Health [cph]
Maintainer: Carl Suster <Carl.Suster@health.nsw.gov.au>
Repository: CRAN
Date/Publication: 2023-05-24 09:00:02 UTC

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New package faersquarterlydata with initial version 1.0.0
Package: faersquarterlydata
Title: FDA Adverse Event Reporting System Quarterly Data Extracting Tool
Version: 1.0.0
Maintainer: Luis Garcez <luisgarcez1@gmail.com>
Description: An easy framework to read FDA Adverse Event Reporting System XML/ASCII files <https://www.fda.gov/drugs/questions-and-answers-fdas-adverse-event-reporting-system-faers/fda-adverse-event-reporting-system-faers-latest-quarterly-data-files>.
License: GPL (>= 3)
Imports: data.table, tibble, xml2, tableone, tidyr, dplyr, stringr, stats, utils
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-23 15:42:31 UTC; luis.ferreira
Author: Luis Garcez [aut, cre, cph] , Luisa Prada [aut]
Repository: CRAN
Date/Publication: 2023-05-24 08:40:03 UTC

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New package Bayenet with initial version 0.1
Package: Bayenet
Title: Bayesian Quantile Elastic Net for Genetic Study
Version: 0.1
Date: 2023-05-17
Description: As heavy-tailed error distribution and outliers in the response variable widely exist, models which are robust to data contamination are highly demanded. Here, we develop a novel robust Bayesian variable selection method with elastic net penalty for quantile regression in genetic analysis. In particular, the spike-and-slab priors have been incorporated to impose sparsity. An efficient Gibbs sampler has been developed to facilitate computation.The core modules of the package have been developed in 'C++' and R.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, stats, MCMCpack, base, gsl, VGAM, MASS, hbmem, SuppDists
NeedsCompilation: yes
Repository: CRAN
Packaged: 2023-05-23 22:04:42 UTC; grimf
Author: Xi Lu [aut, cre], Cen Wu [aut]
Maintainer: Xi Lu <xilu@ksu.edu>
Date/Publication: 2023-05-24 09:00:08 UTC

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New package WeightedPortTest with initial version 1.1
Package: WeightedPortTest
Title: Weighted Portmanteau Tests for Time Series Goodness-of-Fit
Version: 1.1
Date: 2023-05-23
Description: An implementation of the Weighted Portmanteau Tests described in "New Weighted Portmanteau Statistics for Time Series Goodness-of-Fit Testing" published by the Journal of the American Statistical Association, Volume 107, Issue 498, pages 777-787, 2012.
License: GPL (>= 3)
LazyLoad: yes
NeedsCompilation: no
Packaged: 2023-05-24 02:16:32 UTC; fishert4
Author: Thomas J. Fisher [aut, cre] , Colin M. Gallagher [aut]
Maintainer: Thomas J. Fisher <fishert4@miamioh.edu>
Repository: CRAN
Date/Publication: 2023-05-24 07:10:02 UTC

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New package standby with initial version 0.1.0
Package: standby
Title: Alerts, Notifications and Loading Screen in 'Shiny'
Version: 0.1.0
Description: Easily create alerts, notifications, modals, info tips and loading screens in 'Shiny'. Includes several options to customize alerts and notifications by including text, icons, images and buttons. When wrapped around a 'Shiny' output, loading screen is automatically displayed while the output is being recalculated.
Depends: R(>= 3.3)
Imports: grDevices, htmltools, shiny
Suggests: rmarkdown, kableExtra, knitr, testthat (>= 3.0.0), covr
License: GPL (>= 3)
URL: https://standby.rsquaredacademy.com/, https://github.com/rsquaredacademy/standby
BugReports: https://github.com/rsquaredacademy/standby/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-23 08:50:39 UTC; HP
Author: Aravind Hebbali [aut, cre], Zong Bin [ctb, cph] , Tobias Ahlin [ctb, cph] , https://github.com/RIDICS [ctb, cph] , Raphael Fabini [ctb, cph] , Luke Hass [ctb, cph] , Mohammad Younes [ctb, cph] , Nick Payne [ctb, cph] , Indrashish Ghosh [ctb, cph] , h [...truncated...]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-24 07:50:02 UTC

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New package sasr with initial version 0.1.2
Package: sasr
Title: 'SAS' Interface
Version: 0.1.2
Date: 2023-04-26
Description: Provides a 'SAS' interface, through 'SASPy'(<https://sassoftware.github.io/saspy/>) and 'reticulate'(<https://rstudio.github.io/reticulate/>). This package helps you create 'SAS' sessions, execute 'SAS' code in remote 'SAS' servers, retrieve execution results and log, and exchange datasets between 'SAS' and 'R'. It also helps you to install 'SASPy' and create a configuration file for the connection. Please review the 'SASPy' license file as instructed so that you comply with its separate and independent license.
License: Apache License 2.0
URL: https://github.com/insightsengineering/sasr/
BugReports: https://github.com/insightsengineering/sasr/issues
Depends: R (>= 3.6)
Imports: checkmate, reticulate
Suggests: knitr, mockery, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-05-23 06:48:15 UTC; root
Author: Liming Li [aut, cre], Daniel Sabanes Bove [aut], Isaac Gravestock [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Liming Li <liming.li@roche.com>
Repository: CRAN
Date/Publication: 2023-05-24 07:50:06 UTC

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New package gdalraster with initial version 1.1.1
Package: gdalraster
Title: Bindings to the 'Geospatial Data Abstraction Library' Raster API
Version: 1.1.1
Description: Interface to the raster API of the 'Geospatial Data Abstraction Library' ('GDAL') supporting manual creation of uninitialized datasets, creation from existing raster as template, low level I/O, configuration of virtual raster (VRT), coordinate transformation, and access to 'gdalwarp' for reprojection. Convenience functions facilitate working with spatial reference systems. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project (<https://gdal.org>). Bindings to 'GDAL' are implemented in class 'GDALRaster' along with several stand-alone functions. Additional functionality includes: class 'RunningStats' for efficient summary statistics on large data streams; class 'CmbTable' for counting unique combinations of integer values with a hash table; a raster overlay utility to identify and count unique combinations across multiple inputs; and a calculation utility for evaluating an R expression on raster layers with pixel coordinates available as vari [...truncated...]
License: MIT + file LICENSE
Copyright: See file inst/COPYRIGHTS for details.
URL: https://github.com/USDAForestService/gdalraster, https://usdaforestservice.github.io/gdalraster/
BugReports: https://github.com/USDAForestService/gdalraster/issues
Depends: R (>= 3.4)
Imports: methods, tools, utils, Rcpp (>= 1.0.7)
LinkingTo: Rcpp
Suggests: xml2
NeedsCompilation: yes
SystemRequirements: GDAL (>= 2.3.0, built against GEOS), PROJ (>= 4.8.0)
Encoding: UTF-8
Packaged: 2023-05-20 04:57:55 UTC; ctoney
Author: Chris Toney [aut, cre], Frank Warmerdam [cph], Even Rouault [cph], Marius Appel [cph], Daniel James [cph], Peter Dimov [cph]
Maintainer: Chris Toney <chris.toney@usda.gov>
Repository: CRAN
Date/Publication: 2023-05-24 07:30:02 UTC

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New package cstidy with initial version 2023.5.24
Package: cstidy
Title: Helpful Functions for Cleaning Surveillance Data
Version: 2023.5.24
Description: Helpful functions for the cleaning and manipulation of surveillance data, especially with regards to the creation and validation of panel data from individual level surveillance data.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
URL: https://www.csids.no/cstidy/, https://github.com/csids/cstidy
BugReports: https://github.com/csids/cstidy/issues
Encoding: UTF-8
LazyData: true
Imports: data.table, magrittr, ggplot2, csdata, cstime, crayon, digest, stringr, methods
Suggests: testthat, knitr, rmarkdown, rstudioapi, glue, gt, dplyr, purrr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-23 08:15:56 UTC; raw996
Author: Richard Aubrey White [aut, cre] , CSIDS [cph]
Maintainer: Richard Aubrey White <hello@rwhite.no>
Repository: CRAN
Date/Publication: 2023-05-24 07:40:02 UTC

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New package boxplotcluster with initial version 0.1
Package: boxplotcluster
Title: Clustering Method Based on Boxplot Statistics
Version: 0.1
Description: Following Arroyo-Maté-Roque (2006), the function calculates the distance between columns of the dataset using the generalized Minkowski metric as described by Ichino-Yaguchi (1994). The distance measure gives more weight to differences between quartiles than to differences between extremes, making it less sensitive to outliers. Further,the function calculates the silhouette width (Rousseeuw 1987) for different numbers of clusters and selects the number of clusters that maximizes the average silhouette width, unless a specific number of clusters is provided by the user. The approach implemented in this package is based on the following publications: Rousseeuw (1987) <doi:10.1016/0377-0427(87)90125-7>; Ichino-Yaguchi (1994) <doi:10.1109/21.286391>; Arroyo-Maté-Roque (2006) <doi:10.1007/3-540-34416-0_7>.
Depends: R (>= 4.0.0)
Imports: cluster (>= 2.1.4), graphics (>= 4.2.0), grDevices (>= 4.2.0), stats (>= 4.2.0)
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-22 15:00:38 UTC; gianmarcoalberti
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-24 07:40:05 UTC

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New package ammistability with initial version 0.1.4
Package: ammistability
Title: Additive Main Effects and Multiplicative Interaction Model Stability Parameters
Version: 0.1.4
Description: Computes various stability parameters from Additive Main Effects and Multiplicative Interaction (AMMI) analysis results such as Modified AMMI Stability Value (MASV), Sums of the Absolute Value of the Interaction Principal Component Scores (SIPC), Sum Across Environments of Genotype-Environment Interaction Modelled by AMMI (AMGE), Sum Across Environments of Absolute Value of Genotype-Environment Interaction Modelled by AMMI (AV_(AMGE)), AMMI Stability Index (ASI), Modified ASI (MASI), AMMI Based Stability Parameter (ASTAB), Annicchiarico's D Parameter (DA), Zhang's D Parameter (DZ), Averages of the Squared Eigenvector Values (EV), Stability Measure Based on Fitted AMMI Model (FA), Absolute Value of the Relative Contribution of IPCs to the Interaction (Za). Further calculates the Simultaneous Selection Index for Yield and Stability from the computed stability parameters. See the vignette for complete list of citations for the methods implemented.
Copyright: 2017-2023, ICAR-DGR
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
Imports: agricolae, ggcorrplot, ggplot2, methods, reshape2, stats, Rdpack, mathjaxr
Suggests: knitr, rmarkdown, pander, XML, httr, RCurl
URL: https://github.com/ajaygpb/ammistability/ https://CRAN.R-project.org/package=ammistability https://ajaygpb.github.io/ammistability/ https://doi.org/10.5281/zenodo.1344756
BugReports: https://github.com/ajaygpb/ammistability/issues
NeedsCompilation: no
Packaged: 2023-05-23 05:45:34 UTC; Aravind-DGC
Author: B. C. Ajay [aut, cre] , J. Aravind [aut] , R. Abdul Fiyaz [aut] , ICAR [cph]
Maintainer: B. C. Ajay <ajaygpb@yahoo.co.in>
Repository: CRAN
Date/Publication: 2023-05-24 07:40:08 UTC

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Tue, 23 May 2023

New package ensemblQueryR with initial version 0.1.0
Package: ensemblQueryR
Title: Simple, Fast and Efficient Querying of the 'Ensembl' API
Version: 0.1.0
Author: Aine Fairbrother-Browne
Maintainer: Aine Fairbrother-Browne <ucbtas8@ucl.ac.uk>
Description: Suite of tools to enable fast, efficient, high-throughput, R workflow integrable querying of 'Ensembl' REST API endpoints (<https://rest.ensembl.org/>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, jsonlite, magrittr, parallel, purrr, rlang, tibble, tidyr, utils, vroom, xml2
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-23 07:49:50 UTC; abrowne
Repository: CRAN
Date/Publication: 2023-05-23 09:10:05 UTC

More information about ensemblQueryR at CRAN
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New package wrappr with initial version 0.1.0
Package: wrappr
Title: A Collection of Helper and Wrapper Functions
Version: 0.1.0
Description: Helper functions to easily add functionality to functions. The package can assign functions to have an lazy evaluation allowing you to save and update the arguments before and after each function call. You can set a temporary working directory within functions and wrap console messages around other functions.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: methods
NeedsCompilation: no
Packaged: 2023-05-22 21:39:34 UTC; mrpip
Author: John Piper [aut, cre]
Maintainer: John Piper <john.piper.using.r@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-23 08:50:02 UTC

More information about wrappr at CRAN
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New package permChacko with initial version 0.1.0
Package: permChacko
Title: Chacko Test for Order-Restriction with Permutation
Version: 0.1.0
Description: Implements an extension of the Chacko chi-square test for ordered vectors (Chacko, 1966, <https://www.jstor.org/stable/25051572>). Our extension brings the Chacko test to the computer age by implementing a permutation test to offer a numeric estimate of the p-value, which is particularly useful when the analytic solution is not available.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://ocbe-uio.github.io/permChacko/
BugReports: https://github.com/ocbe-uio/permChacko/issues
NeedsCompilation: no
Packaged: 2023-05-23 04:26:16 UTC; netto
Author: Waldir Leoncio [aut, cre] , Graeme Ruxton [aut], Morten Wang Fagerland [aut]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>
Repository: CRAN
Date/Publication: 2023-05-23 09:00:07 UTC

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New package lmtestrob with initial version 0.1
Package: lmtestrob
Title: Outlier Robust Specification Testing
Version: 0.1
Date: 2023-05-22
Author: Mikhail Zhelonkin [aut, cre]
Maintainer: Mikhail Zhelonkin <Mikhail.Zhelonkin@gmail.com>
Description: Robust test(s) for model diagnostics in regression. The current version contains a robust test for functional specification (linearity). The test is based on the robust bounded-influence test by Heritier and Ronchetti (1994) <doi:10.1080/01621459.1994.10476822>.
License: GPL-2
Imports: MASS
Suggests: lmtest
NeedsCompilation: no
Packaged: 2023-05-22 15:44:51 UTC; M.Zhelonkin
Repository: CRAN
Date/Publication: 2023-05-23 08:50:05 UTC

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New package kanjistat with initial version 0.9.1
Package: kanjistat
Title: A Statistical Framework for the Analysis of Japanese Kanji Characters
Version: 0.9.1
Date: 2023-05-22
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>
Description: Various tools and data sets that support the study of kanji, including their morphology, decomposition and concepts of distance and similarity between them.
URL: https://dschuhmacher.github.io/kanjistat/
BugReports: https://github.com/dschuhmacher/kanjistat/issues
Depends: R (>= 3.5)
Imports: methods, graphics, grDevices, gsubfn, utils, crayon, dendextend, png, purrr, rlang, ROI, sysfonts, showtext, stringi, stringr, transport, xml2, lifecycle
Suggests: dplyr, knitr, rmarkdown, ROI.plugin.glpk, systemfonts, testthat (>= 3.0.0), tibble, withr
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-22 23:08:02 UTC; schumi
Author: Dominic Schuhmacher [aut, cre]
Repository: CRAN
Date/Publication: 2023-05-23 09:00:10 UTC

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Mon, 22 May 2023

New package sewage with initial version 0.2.5
Package: sewage
Title: A Light-Weight Data Pipelining Tool
Version: 0.2.5
Description: Provides a simple interface to developing complex data pipelines which can be executed in a single call. 'sewage' makes it easy to test, debug, and share data pipelines through it's interface and visualizations.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/mwhalen18/sewage, https://mwhalen18.github.io/sewage/
BugReports: https://github.com/mwhalen18/sewage/issues
Suggests: testthat (>= 3.0.0), dplyr
Imports: DiagrammeR, glue, cli
NeedsCompilation: no
Packaged: 2023-05-22 11:35:55 UTC; matthewwhalen
Author: Matthew Whalen [aut, cre, cph]
Maintainer: Matthew Whalen <matthew.whalen18@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-22 18:10:02 UTC

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New package MultiGroupSequential with initial version 1.0.0
Package: MultiGroupSequential
Version: 1.0.0
Date: 2023-05-20
Title: Group-Sequential Procedures with Multiple Hypotheses
Description: It is often challenging to strongly control the family-wise type-1 error rate in the group-sequential trials with multiple endpoints (hypotheses). The inflation of type-1 error rate comes from two sources (S1) repeated testing individual hypothesis and (S2) simultaneous testing multiple hypotheses. The 'MultiGroupSequential' package is intended to help researchers to tackle this challenge. The procedures provided include the sequential procedures described in Luo and Quan (2023) <doi:10.1080/19466315.2023.2191989> and the graphical procedure proposed by Maurer and Bretz (2013) <doi:10.1080/19466315.2013.807748>. Luo and Quan (2013) describes three procedure and the functions to implement these procedures are (1) seqgspgx() implements a sequential graphical procedure based on the group-sequential p-values; (2) seqgsphh() implements a sequential Hochberg/Hommel procedure based on the group-sequential p-values; and (3) seqqvalhh() implements a sequential Hochberg/Hommel proced [...truncated...]
Depends: R (>= 4.0.0)
Imports: stats, mvtnorm, OpenMx, hommel
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2023-05-22 10:51:16 UTC; marvels
Author: Xiaodong Luo [aut, cre], Hui Quan [ctb], Sanofi [cph]
Maintainer: Xiaodong Luo <Xiaodong.Luo@sanofi.com>
Repository: CRAN
Date/Publication: 2023-05-22 18:10:06 UTC

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New package forestat with initial version 1.0.0
Package: forestat
Title: Evaluating the Quality of Natural Forest
Version: 1.0.0
Maintainer: Yuanyuan Han <jackhanyuan@foxmail.com>
Repository: CRAN
Description: Including tree height classification, tree height model establishment, sectional area growth and stock growth modeling, and calculation of actual and potential forest productivity.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr, ggplot2, graphics, nlme, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-22 14:52:40 UTC; jackhanyuan
Author: Liyong Fu [aut], Zhong Wang [aut], Yuanyuan Han [aut, cre]
Date/Publication: 2023-05-22 18:20:02 UTC

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New package crossvalidationCP with initial version 1.1
Package: crossvalidationCP
Title: Cross-Validation for Change-Point Regression
Version: 1.1
Depends: R (>= 3.3.0)
Imports: changepoint (>= 2.0), fpopw(>= 1.1), wbs (>= 1.4), stats
Suggests: testthat (>= 2.0.0)
Description: Implements the cross-validation methodology from Pein and Shah (2021) <arXiv:2112.03220>. Can be customised by providing different cross-validation criteria, estimators for the change-point locations and local parameters, and freely chosen folds. Pre-implemented estimators and criteria are available. It also includes our own implementation of the COPPS procedure <doi:10.1214/19-AOS1814>.
License: GPL-3
NeedsCompilation: no
Packaged: 2023-05-22 16:07:52 UTC; pein
Author: Pein Florian [aut, cre]
Maintainer: Pein Florian <f.pein@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2023-05-22 18:30:02 UTC

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New package autoScorecard with initial version 0.1.0
Package: autoScorecard
Title: Fully Automatic Generation of Scorecards
Version: 0.1.0
Maintainer: Tai-Sen Zheng <jc3802201@gmail.com>
Description: Provides an efficient suite of R tools for scorecard modeling, analysis, and visualization. Including equal frequency binning, equidistant binning, K-means binning, chi-square binning, decision tree binning, data screening, manual parameter modeling, fully automatic generation of scorecards, etc. This package is designed to make scorecard development easier and faster. References include: 1. <http://shichen.name/posts/>. 2. Dong-feng Li(Peking University),Class PPT. 3. <https://zhuanlan.zhihu.com/p/389710022>. 4. <https://www.zhangshengrong.com/p/281oqR9JNw/>.
License: AGPL-3
Encoding: UTF-8
Imports: infotheo, ROCR, rpart, discretization, stats, graphics, corrplot
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-05-22 15:17:01 UTC; admin
Author: Tai-Sen Zheng [aut, cre]
Repository: CRAN
Date/Publication: 2023-05-22 18:30:05 UTC

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New package appeears with initial version 1.0
Package: appeears
Title: Interface to 'AppEARS' NASA Web Services
Version: 1.0
Description: Programmatic interface to the NASA Application for Extracting and Exploring Analysis Ready Samples services (AppEEARS; <https://appeears.earthdatacloud.nasa.gov/>). The package provides easy access to analysis ready earth observation data in R.
URL: https://github.com/bluegreen-labs/appeears
BugReports: https://github.com/bluegreen-labs/appeears/issues
Depends: R (>= 4.0)
Imports: httr, keyring, memoise, getPass, R6, sf, jsonlite, geojsonio, rstudioapi
License: AGPL-3
ByteCompile: true
Suggests: rmarkdown, covr, testthat, terra, ncdf4, knitr, rlang, dplyr, ggplot2, patchwork
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-22 12:30:53 UTC; khufkens
Author: Koen Hufkens [aut, cre] , Elio Campitelli [ctb] , BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-22 18:20:05 UTC

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New package PEtests with initial version 0.1.0
Package: PEtests
Title: Power-Enhanced (PE) Tests for High-Dimensional Data
Version: 0.1.0
Description: Two-sample power-enhanced mean tests, covariance tests, and simultaneous tests on mean vectors and covariance matrices for high-dimensional data. Methods of these PE tests are presented in Yu, Li, and Xue (2022) <doi:10.1080/01621459.2022.2126781>; Yu, Li, Xue, and Li (2022) <doi:10.1080/01621459.2022.2061354>.
Author: Xiufan Yu [aut, cre], Danning Li [aut], Lingzhou Xue [aut], Runze Li [aut]
Maintainer: Xiufan Yu <xiufan.yu@nd.edu>
Imports: stats
Encoding: UTF-8
License: GPL (>= 3)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-21 16:15:17 UTC; xyu24
Repository: CRAN
Date/Publication: 2023-05-22 08:40:02 UTC

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New package intradayModel with initial version 0.0.1
Package: intradayModel
Title: Modeling and Forecasting Financial Intraday Signals
Version: 0.0.1
Date: 2023-05-20
Description: Models, analyzes, and forecasts financial intraday signals. This package currently supports a univariate state-space model for intraday trading volume provided by Chen (2016) <doi:10.2139/ssrn.3101695>.
Maintainer: Daniel P. Palomar <daniel.p.palomar@gmail.com>
URL: https://github.com/convexfi/intradayModel, https://www.danielppalomar.com, https://dx.doi.org/10.2139/ssrn.3101695
BugReports: https://github.com/convexfi/intradayModel/issues
License: Apache License (== 2.0)
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: ggplot2, magrittr, patchwork, reshape2, scales, xts, zoo, utils
Suggests: knitr, rmarkdown, R.rsp, testthat (>= 3.0.0), cleanrmd, devtools
VignetteBuilder: knitr, rmarkdown, R.rsp
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-20 13:51:08 UTC; 12928
Author: Shengjie Xiu [aut], Yifan Yu [aut], Daniel P. Palomar [cre, aut, cph]
Repository: CRAN
Date/Publication: 2023-05-22 08:30:02 UTC

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New package ggblend with initial version 0.1.0
Package: ggblend
Title: Blending and Compositing Algebra for 'ggplot2'
Version: 0.1.0
Description: Algebra of operations for blending, copying, adjusting, and compositing layers in 'ggplot2'. Supports copying and adjusting the aesthetics or parameters of an existing layer, partitioning a layer into multiple pieces for re-composition, applying affine transformations to layers, and combining layers (or partitions of layers) using blend modes (including commutative blend modes, like multiply and darken). Blend mode support is particularly useful for creating plots with overlapping groups where the layer drawing order does not change the output; see Kindlmann and Scheidegger (2014) <doi:10.1109/TVCG.2014.2346325>.
License: MIT + file LICENSE
Language: en-US
Depends: R (>= 4.2)
Imports: methods, grid, ggplot2 (>= 3.4.0), rlang
Suggests: covr, testthat (>= 3.0.0), fontquiver, showtext, sysfonts, ggnewscale
BugReports: https://github.com/mjskay/ggblend/issues/new
URL: https://mjskay.github.io/ggblend/, https://github.com/mjskay/ggblend/
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-21 04:21:44 UTC; matth
Author: Matthew Kay [aut, cre, cph]
Maintainer: Matthew Kay <mjskay@northwestern.edu>
Repository: CRAN
Date/Publication: 2023-05-22 08:30:05 UTC

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Sun, 21 May 2023

New package tidysynth with initial version 0.2.0
Package: tidysynth
Title: A Tidy Implementation of the Synthetic Control Method
Version: 0.2.0
Description: A synthetic control offers a way of evaluating the effect of an intervention in comparative case studies. The package makes a number of improvements when implementing the method in R. These improvements allow users to inspect, visualize, and tune the synthetic control more easily. A key benefit of a tidy implementation is that the entire preparation process for building the synthetic control can be accomplished in a single pipe.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: magrittr, tibble, dplyr, ggplot2, tidyr, forcats, rlang, kernlab, rgenoud, optimx, stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2023-05-20 18:10:37 UTC; ed769
Author: Eric Dunford [aut, cre]
Maintainer: Eric Dunford <ed769@georgetown.edu>
Repository: CRAN
Date/Publication: 2023-05-21 07:10:05 UTC

More information about tidysynth at CRAN
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New package kidsides with initial version 0.5.0
Package: kidsides
Title: Download, Cache, and Connect to KidSIDES
Version: 0.5.0
Maintainer: Nicholas Giangreco <nick.giangreco@gmail.com>
Description: Caches and then connects to a 'sqlite' database containing half a million pediatric drug safety signals. The database is part of a family of resources catalogued at <https://nsides.io>. The database contains 17 tables where the description table provides a map between the fields the field's details. The database was created by Nicholas Giangreco during his PhD thesis which you can read in Giangreco (2022) <doi:10.7916/d8-5d9b-6738>. The observations are from the Food and Drug Administration's Adverse Event Reporting System. Generalized additive models estimated drug effects across child development stages for the occurrence of an adverse event when exposed to a drug compared to other drugs. Read more at the methods detailed in Giangreco (2022) <doi:10.1016/j.medj.2022.06.001>.
License: CC BY 4.0
Encoding: UTF-8
Imports: DBI, RSQLite, R.utils, tools
Suggests: ggplot2, dbplyr, tidyr, stringr, ggthemes, rlang, ggrepel, scales, pacman, dplyr, rmarkdown, knitr, covr, testthat (>= 3.0.0), DT, gt, lobstr, prettyunits, purrr, tidyverse
URL: https://github.com/ngiangre/kidsides, https://ngiangre.github.io/kidsides/, https://nsides.io
VignetteBuilder: knitr
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2023-05-20 19:06:02 UTC; nickgiangreco
Author: Nicholas Giangreco [aut, cph, cre]
Repository: CRAN
Date/Publication: 2023-05-21 07:20:02 UTC

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Sat, 20 May 2023

New package ISS with initial version 0.1.3
Package: ISS
Title: Isotonic Subgroup Selection
Version: 0.1.3
Description: Methodology for subgroup selection in the context of isotonic regression with sub-Gaussian errors, including, in particular, options for the classification setting. See the documentation of ISS(). Details can be found in the paper by Müller, Reeve, Cannings and Samworth (2023) <arXiv:2305.04852>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: parallel, stats, Rdpack (>= 0.7)
NeedsCompilation: no
Packaged: 2023-05-19 15:14:20 UTC; manuel
Author: Manuel M. Mueller [aut, cre], Henry W. J. Reeve [aut], Timothy I. Cannings [aut], Richard J. Samworth [aut]
Maintainer: Manuel M. Mueller <mm2559@cam.ac.uk>
Repository: CRAN
Date/Publication: 2023-05-20 08:30:03 UTC

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New package emBayes with initial version 0.1.0
Package: emBayes
Title: Robust Bayesian Variable Selection via Expectation-Maximization
Version: 0.1.0
Date: 2023-05-15
Maintainer: Yuwen Liu <yuwen@ksu.edu>
Description: Variable selection methods have been extensively developed for analyzing high-dimensional omics data within both the frequentist and Bayesian frameworks. This package implemented the spike-and-slab quantile LASSO which has been developed along the line of Bayesian hierarchical model but deeply rooted in the frequentist regularization methods by utilizing the Expectation–Maximization (EM) algorithm. Therefore, the proposed method borrows strength from both the frequentist and Bayesian frameworks while overcoming their respective limitations. The spike-and-slab quantile LASSO can handle data irregularity in terms of skewness and outliers in the disease trait, compared to its nonrobust alternative, the spike-and-slab LASSO, which has also been implemented in the package. The core module of this package is developed in 'C++'.
Depends: R (>= 4.2.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: Rcpp, glmnet
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-05-18 20:21:09 UTC; 26057
Author: Yuwen Liu [aut, cre], Cen Wu [aut]
Repository: CRAN
Date/Publication: 2023-05-20 08:10:02 UTC

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New package ConfZIC with initial version 1.0.0
Package: ConfZIC
Title: Confidence Envelopes for Model Selection Criteria Based on Minimum ZIC
Version: 1.0.0
Depends: R (>= 3.5.0)
Imports: cmna, stats, ltsa, MuMIn, mvtnorm, utils, tidytable, psych
Description: Narrow down the number of models to look at in model selection using the confidence envelopes based on the minimum ZIC (Generalized Information Criteria) values for regression and time series data. Functions involve the computation of multivariate normal-probabilities with covariance matrices based on minimum ZIC inverting the CDF of the minimum ZIC. It involves both the computation of singular and non-singular probabilities as described in Genz (1992) <https:doi.org/10.2307/1390838>.
License: GPL-2
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
Maintainer: I.M.L. Nadeesha Jayaweera <njayaweera@wpi.edu>
NeedsCompilation: no
Packaged: 2023-05-19 03:51:52 UTC; njayaweera
Author: I.M.L. Nadeesha Jayaweera [aut, cre] , A. Alex Trindade [ctb, aut]
Repository: CRAN
Date/Publication: 2023-05-20 08:20:02 UTC

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New package rDEA with initial version 1.2-7
Package: rDEA
Version: 1.2-7
Title: Robust Data Envelopment Analysis (DEA) for R
Description: Data Envelopment Analysis for R, estimating robust DEA scores without and with environmental variables and doing returns-to-scale tests.
Imports: slam (>= 0.1-9), truncreg(>= 0.2-1), truncnorm(>= 1.0-7), maxLik
Suggests: testthat
SystemRequirements: GLPK (>= 4.52)
License: GPL-2 | GPL-3
URL: https://github.com/jaak-s/rDEA
LazyData: true
Packaged: 2023-05-19 21:06:28 UTC; jaak
Maintainer: Jaak Simm <jaak.simm@gmail.com>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2023-05-20 07:30:05 UTC
Author: Jaak Simm [aut, cre], Galina Besstremyannaya [aut]

More information about rDEA at CRAN
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New package randnet with initial version 0.7
Package: randnet
Title: Random Network Model Estimation, Selection and Parameter Tuning
Version: 0.7
Date: 2023-05-11
Description: Model selection and parameter tuning procedures for a class of random network models. The model selection can be done by a general cross-validation framework called ECV from Li et. al. (2016) <arXiv:1612.04717> . Several other model-based and task-specific methods are also included, such as NCV from Chen and Lei (2016) <arXiv:1411.1715>, likelihood ratio method from Wang and Bickel (2015) <arXiv:1502.02069>, spectral methods from Le and Levina (2015) <arXiv:1507.00827>. Many network analysis methods are also implemented, such as the regularized spectral clustering (Amini et. al. 2013 <doi:10.1214/13-AOS1138>) and its degree corrected version and graphon neighborhood smoothing (Zhang et. al. 2015 <arXiv:1509.08588>). It also includes the consensus clustering of Gao et. al. (2014) <arXiv:1410.5837>, the method of moments estimation of nomination SBM of Li et. al. (2020) <arxiv:2008.03652>, and the network mixing method of Li and Le (2021) & [...truncated...]
License: GPL (>= 2)
Depends: Matrix, entropy, AUC,sparseFLMM, mgcv
Imports: methods, stats, poweRlaw, RSpectra, irlba,pracma,nnls,data.table
NeedsCompilation: no
Packaged: 2023-05-20 02:05:10 UTC; tianxili
Author: Tianxi Li [aut, cre], Elizeveta Levina [aut], Ji Zhu [aut], Can M. Le [aut]
Maintainer: Tianxi Li <tianxili@virginia.edu>
Repository: CRAN
Date/Publication: 2023-05-20 07:30:02 UTC

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New package modelfree with initial version 1.2
Package: modelfree
Title: Model-Free Estimation of a Psychometric Function
Version: 1.2
Description: Local linear estimation of psychometric functions. Provides functions for nonparametric estimation of a psychometric function and for estimation of a derived threshold and slope, and their standard deviations and confidence intervals.
URL: www.R-project.org, https://personalpages.manchester.ac.uk/staff/d.h.foster/software-modelfree/latest/home.html
License: LGPL (>= 3)
Encoding: UTF-8
Imports: SparseM, PolynomF, methods
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-19 17:24:41 UTC; kamil
Author: Ivan Marin-Franch [aut] , Kamila Zychaluk [aut, cre, cph], David H. Foster [aut]
Maintainer: Kamila Zychaluk <Kamila.Zychaluk@liverpool.ac.uk>
Repository: CRAN
Date/Publication: 2023-05-20 07:40:02 UTC

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Fri, 19 May 2023

New package washi with initial version 0.1.0
Package: washi
Title: Washington Soil Health Initiative Branding
Version: 0.1.0
Description: Create plots and tables in a consistent style with WaSHI (Washington Soil Health Initiative) branding. Use 'washi' to easily style your 'ggplot2' plots and 'flextable' tables.
License: MIT + file LICENSE
URL: https://github.com/WA-Department-of-Agriculture/washi, https://wa-department-of-agriculture.github.io/washi/
BugReports: https://github.com/WA-Department-of-Agriculture/washi/issues/
Depends: R (>= 3.5)
Imports: cli, extrafont, flextable, ggplot2, graphics, grDevices, officer, scales
Suggests: covr, forcats, testthat (>= 3.0.0), vdiffr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-18 16:39:08 UTC; JRyan
Author: Jadey Ryan [aut, cre], Molly Mcilquham [aut], Dani Gelardi [aut], Washington State Department of Agriculture [cph, fnd]
Maintainer: Jadey Ryan <jryan@agr.wa.gov>
Repository: CRAN
Date/Publication: 2023-05-19 17:20:02 UTC

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New package snvecR with initial version 3.7.5
Package: snvecR
Title: Calculate Earth’s Obliquity and Precession in the Past
Version: 3.7.5
Description: Easily calculate precession and obliquity from an orbital solution (defaults to ZB18a from Zeebe and Lourens (2019) <doi:10.1126/science.aax0612>) and assumed or reconstructed values for tidal dissipation (Td) and dynamical ellipticity (Ed). This is a translation and adaptation of the C-code in the supplementary material to Zeebe and Lourens (2022) <doi:10.1029/2021PA004349>, with further details on the methodology described in Zeebe (2022) <doi:10.3847/1538-3881/ac80f8>. The name of the C-routine is snvec, which refers to the key units of computation: spin vector s and orbit normal vector n.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: ggplot2, testthat, roxygen2, knitr, rmarkdown
Imports: deSolve, pracma, cli (>= 3.4.0), dplyr, tibble, purrr, readr, tidyselect, lubridate, rlang (>= 0.4.11), withr, tidyr, glue, curl
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
URL: https://japhir.github.io/snvecR/
NeedsCompilation: no
Packaged: 2023-05-18 19:43:47 UTC; japhir
Author: Ilja Kocken [aut, cre, trl, cph] , Richard Zeebe [aut]
Maintainer: Ilja Kocken <ikocken@hawaii.edu>
Repository: CRAN
Date/Publication: 2023-05-19 17:40:02 UTC

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New package sgs with initial version 0.1.0
Package: sgs
Title: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Version: 0.1.0
Date: 2023-05-07
Maintainer: Fabio Feser <ff120@ic.ac.uk>
Description: Implementation of Sparse-group SLOPE: Adaptive bi-level with FDR-control (Feser et al. (2023) <arXiv:2305.09467>). Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general adaptive three operator splitting (ATOS) implementation is provided.
Imports: Matrix, MASS, caret, grDevices, graphics, methods, stats, faux, SLOPE, Rlab, Rcpp (>= 1.0.10)
LinkingTo: Rcpp, RcppArmadillo
Suggests: SGL, gglasso, glmnet, seagull, testthat, knitr, rmarkdown
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ff1201/sgs
BugReports: https://github.com/ff1201/sgs/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-05-18 16:12:08 UTC; fabiofeser
Author: Fabio Feser [aut, cre] , Marina Evangelou [aut]
Repository: CRAN
Date/Publication: 2023-05-19 17:20:05 UTC

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New package resde with initial version 1.1
Package: resde
Title: Estimation in Reducible Stochastic Differential Equations
Version: 1.1
Description: Maximum likelihood estimation for univariate reducible stochastic differential equation models. Discrete, possibly noisy observations, not necessarily evenly spaced in time. Can fit multiple individuals/units with global and local parameters, by fixed-effects or mixed-effects methods. Ref.: Garcia, O. (2019) "Estimating reducible stochastic differential equations by conversion to a least-squares problem", Computational Statistics 34(1): 23-46, <doi:10.1007/s00180-018-0837-4>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats, Deriv, nlme, methods
Suggests: knitr
VignetteBuilder: knitr
URL: https://github.com/ogarciav/resde/
BugReports: https://github.com/ogarciav/resde/issues
NeedsCompilation: no
Packaged: 2023-05-18 15:49:47 UTC; oscar
Author: Oscar Garcia [aut, cre]
Maintainer: Oscar Garcia <garcia@dasometrics.net>
Repository: CRAN
Date/Publication: 2023-05-19 17:20:09 UTC

More information about resde at CRAN
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New package nonLinearDotPlot with initial version 0.5.0
Package: nonLinearDotPlot
Title: Non Linear Dot Plots
Version: 0.5.0
Description: Non linear dot plots are diagrams that allow dots of varying size to be constructed, so that columns with a large number of samples are reduced in height. Implementation of algorithm described in: Nils Rodrigues and Daniel Weiskopf, "Nonlinear Dot Plots", IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 1, pp. 616-625, 2018. <doi:10.1109/TVCG.2017.2744018>.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-18 16:54:03 UTC; Poly
Author: Soeren Doering [aut, cre] , Manuel Kubica [aut], Ines Fourati [aut]
Maintainer: Soeren Doering <doering.soeren@gmx.de>
Repository: CRAN
Date/Publication: 2023-05-19 17:30:02 UTC

More information about nonLinearDotPlot at CRAN
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New package rcaiman with initial version 1.1.2
Package: rcaiman
Title: CAnopy IMage ANalysis
Version: 1.1.2
Date: 2023-05-19
Description: Classify hemispherical photographs of the plant canopy with algorithms specially developed for such a task and well documented in Díaz and Lencinas (2015) <doi:10.1109/lgrs.2015.2425931> and Díaz and Lencinas (2018) <doi:10.1139/cjfr-2018-0006>. It supports non-circular hemispherical photography, such as those acquired with 15mm lenses or with auxiliary fish-eye lenses attached to mobile devices. For smartphone-based hemispherical photography see Díaz (2023) <doi:10.1111/2041-210x.14059>. Most of the functions also support restricted view photography.
License: GPL-3
BugReports: https://github.com/GastonMauroDiaz/rcaiman/issues
Encoding: UTF-8
Depends: filenamer, magrittr, colorspace, terra
Imports: methods, testthat, pracma, stats, utils, Rdpack, spatial, lidR
Suggests: autothresholdr, conicfit, EBImage, bbmle, imager
NeedsCompilation: no
Packaged: 2023-05-19 13:51:28 UTC; gdiaz
Author: Gaston Mauro Diaz [aut, cre]
Maintainer: Gaston Mauro Diaz <gastonmaurodiaz@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-19 14:30:07 UTC

More information about rcaiman at CRAN
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New package bcv with initial version 1.0.2
Package: bcv
Version: 1.0.2
Date: 2023-05-19
Title: Cross-Validation for the SVD (Bi-Cross-Validation)
Description: Methods for choosing the rank of an SVD (singular value decomposition) approximation via cross validation. The package provides both Gabriel-style "block" holdouts and Wold-style "speckled" holdouts. It also includes an implementation of the SVDImpute algorithm. For more information about Bi-cross-validation, see Owen & Perry's 2009 AoAS article (at <arXiv:0908.2062>) and Perry's 2009 PhD thesis (at <arXiv:0909.3052>).
License: BSD_3_clause + file LICENSE
URL: https://github.com/michbur/bcv
BugReports: https://github.com/michbur/bcv/issues
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
Suggests: spelling
Language: en-US
Packaged: 2023-05-19 10:10:02 UTC; michbur
Author: Michal Burdukiewicz [cre, ctb] , Patrick O. Perry [aut, cph], Seyed Morteza Najibi [ctb]
Maintainer: Michal Burdukiewicz <michalburdukiewicz@gmail.com>
Date/Publication: 2023-05-19 13:50:02 UTC

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New package vol2birdR with initial version 1.0.1
Package: vol2birdR
Title: Vertical Profiles of Biological Signals in Weather Radar Data
Version: 1.0.1
Date: 2023-05-17
Description: 'R' implementation of the 'vol2bird' software for generating vertical profiles of birds and other biological signals in weather radar data. See Dokter et al. (2011) <doi:10.1098/rsif.2010.0116> for a paper describing the methodology.
License: LGPL (>= 3)
Language: en-US
URL: https://github.com/adokter/vol2birdR/, https://adriaandokter.com/vol2bird/
BugReports: https://github.com/adokter/vol2birdR/issues
Imports: assertthat, methods, pkgbuild, Rcpp (>= 1.0.4), rlang, utils, withr
LinkingTo: Rcpp, RcppGSL
VignetteBuilder: knitr
SystemRequirements: GNU make, GSL, HDF5, PROJ
NeedsCompilation: yes
RcppModules: RaveIO, PolarVolume, Vol2Bird, Vol2BirdConfig
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Copyright: file COPYRIGHTS
Encoding: UTF-8
Packaged: 2023-05-17 17:15:19 UTC; alexandertedeschi
Author: Anders Henja [aut] , Adriaan M. Dokter [aut, cre] , Alexander Tedeschi [ctb] , Tsung-Yu Lin [ctb] , Subranshu Maji [ctb] , Daniel Sheldon [ctb] , Bart Kranstauber [ctb] , Jurriaan H. Spaaks [ctb] , Lourens Veen [ctb] , Iwan Holleman [ctb] , Hidde Lei [...truncated...]
Maintainer: Adriaan M. Dokter <amd427@cornell.edu>
Repository: CRAN
Date/Publication: 2023-05-19 09:50:02 UTC

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Thu, 18 May 2023

New package CSIndicators with initial version 1.0.1
Package: CSIndicators
Title: Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions
Version: 1.0.1
Description: Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management…). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package was developed in the context of H2020 MED-GOLD (776467) and S2S4E (776787) projects. Lledó et al. (2019) <doi:10.1016/j.renene.2019.04.135>.
Depends: R (>= 3.6.0)
Imports: multiApply (>= 2.1.1), stats
Suggests: testthat, CSTools, knitr, markdown, rmarkdown
VignetteBuilder: knitr
License: GPL-3
URL: https://earth.bsc.es/gitlab/es/csindicators/
BugReports: https://earth.bsc.es/gitlab/es/csindicators/-/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-18 17:51:00 UTC; erifarov
Author: Eva Rifa [cre], Nuria Perez-Zanon [aut] , Chou Chihchung [aut], Llorenc Lledo [aut], Gonzalez-Reviriego Nube [ctb], Marcos Rauel [ctb], Palma Lluis [ctb], An-Chi Ho [ctb], BSC-CNS [cph]
Maintainer: Eva Rifa <eva.rifarovira@bsc.es>
Repository: CRAN
Date/Publication: 2023-05-18 18:10:02 UTC

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New package idmact with initial version 1.0.1
Package: idmact
Title: Interpreting Differences Between Mean ACT Scores
Version: 1.0.1
Description: Interpreting the differences between mean scale scores across various forms of an assessment can be challenging. This difficulty arises from different mappings between raw scores and scale scores, complex mathematical relationships, adjustments based on judgmental procedures, and diverse equating functions applied to different assessment forms. An alternative method involves running simulations to explore the effect of incrementing raw scores on mean scale scores. The 'idmact' package provides an implementation of this approach based on the algorithm detailed in Schiel (1998) <https://www.act.org/content/dam/act/unsecured/documents/ACT_RR98-01.pdf> which was developed to help interpret differences between mean scale scores on the American College Testing (ACT) assessment. The function idmact_subj() within the package offers a framework for running simulations on subject-level scores. In contrast, the idmact_comp() function provides a framework for conducting simulations on compos [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/mncube/idmact
BugReports: https://github.com/mncube/idmact/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: rlang
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-18 15:14:44 UTC; Administrator
Author: Mackson Ncube [aut, cre, cph]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-18 16:10:02 UTC

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New package woylier with initial version 0.0.5
Package: woylier
Title: Alternative Tour Frame Interpolation Method
Version: 0.0.5
Description: This method generates a tour path by interpolating between d-D frames in p-D using Givens rotations. The algorithm arises from the problem of zeroing elements of a matrix. This interpolation method is useful for showing specific d-D frames in the tour, as opposed to d-D planes, as done by the geodesic interpolation. It is useful for projection pursuit indexes which are not s invariant. See Buja et al (2005) <doi:10.1016/S0169-7161(04)24014-7>.
Depends: R (>= 4.1)
Imports: tourr, geozoo, dplyr, tibble
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, purrr, ggplot2, ash, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-17 11:59:46 UTC; zoljargal
Author: Zola Batsaikan [aut, cre] , Dianne Cook [aut] , Ursula Laa [aut]
Maintainer: Zola Batsaikan <zoljargal11@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-18 15:30:02 UTC

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New package Bernadette with initial version 1.1.1
Package: Bernadette
Title: Bayesian Inference and Model Selection for Stochastic Epidemics
Version: 1.1.1
Description: Bayesian analysis for stochastic extensions of non-linear dynamic systems using advanced computational algorithms. Described in Bouranis, L., Demiris, N., Kalogeropoulos, K., and Ntzoufras, I. (2022) <arXiv:2211.15229>.
License: GPL (>= 3)
URL: https://bernadette-eu.github.io/
BugReports: https://github.com/bernadette-eu/Bernadette/issues/
Depends: R (>= 3.0.2)
Imports: ggplot2, grid, gridExtra, magrittr, methods, Rcpp (>= 1.0.8.3), RcppParallel, rstantools, rstan (>= 2.21.3), scales, stats, utils
Suggests: knitr, rmarkdown, roxygen2, StanHeaders (>= 2.21.0),
LinkingTo: BH (>= 1.78.0-0), Rcpp (>= 1.0.8.3), RcppEigen (>= 0.3.3.9.1), RcppParallel (>= 5.0.1), rstan (>= 2.21.3), StanHeaders (>= 2.21.0)
VignetteBuilder: knitr
Biarch: true
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2023-05-17 13:37:23 UTC; lbour
Author: Lampros Bouranis [aut, cre, cph] , European Union [fnd]
Maintainer: Lampros Bouranis <bernadette.aueb@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-18 15:40:02 UTC

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New package GaSP with initial version 1.0.4
Package: GaSP
Title: Train and Apply a Gaussian Stochastic Process Model
Version: 1.0.4
Description: Train a Gaussian stochastic process model of an unknown function, possibly observed with error, via maximum likelihood or maximum a posteriori (MAP) estimation, run model diagnostics, and make predictions, following Sacks, J., Welch, W.J., Mitchell, T.J., and Wynn, H.P. (1989) "Design and Analysis of Computer Experiments", Statistical Science, <doi:10.1214/ss/1177012413>. Perform sensitivity analysis and visualize low-order effects, following Schonlau, M. and Welch, W.J. (2006), "Screening the Input Variables to a Computer Model Via Analysis of Variance and Visualization", <doi:10.1007/0-387-28014-6_14>.
Depends: R (>= 3.5.0)
Suggests: markdown, rmarkdown, knitr, testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-05-17 17:33:16 UTC; will
Author: William J. Welch [aut, cre, cph] , Yilin Yang [aut]
Maintainer: William J. Welch <will@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2023-05-18 11:12:36 UTC

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New package Morphoscape with initial version 1.0.2
Package: Morphoscape
Title: Computation and Visualization of Adaptive Landscapes
Version: 1.0.2
Description: Implements adaptive landscape methods first described by Polly et al. (2016) <doi:10.1080/02724634.2016.1111225> for the integration, analysis and visualization of biological trait data on a phenotypic morphospace - typically defined by shape metrics.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.2.0)
Imports: concaveman, ggplot2, spatial, sp, automap, scales, viridisLite, alphahull
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://blakedickson.github.io/Morphoscape/
NeedsCompilation: no
Packaged: 2023-05-12 01:24:39 UTC; z3291260
Author: Blake Dickson [aut, cre] , Stephanie Pierce [aut] , Noah Greifer [aut]
Maintainer: Blake Dickson <b.dickson@unsw.edu.au>
Repository: CRAN
Date/Publication: 2023-05-18 09:20:06 UTC

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New package iterors with initial version 1.0
Package: iterors
Title: Fast, Compact Iterators and Tools
Version: 1.0
Maintainer: Peter Meilstrup <peter.meilstrup@gmail.com>
Description: A fresh take on iterators in R. Designed to be cross-compatible with the 'iterators' package, but using the 'nextOr' method will offer better performance as well as more compact code. With batteries included: includes a collection of iterator constructors and combinators ported and refined from the 'iterators', 'itertools', and 'itertools2' packages.
Depends: R (>= 3.6)
Imports: rlang
Encoding: UTF-8
Suggests: reticulate, combinat, testthat (>= 3.0.0), foreach, iterators (>= 1.0.7), rmarkdown, knitr
URL: https://github.com/crowding/iterors, https://crowding.github.io/iterors/
License: GPL (>= 3)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-18 02:53:41 UTC; peter
Author: Peter Meilstrup [cre, aut, cph], Folashade Daniel [aut], Revolution Analytics [aut, cph], Steve Weston [aut, cph], John A. Ramey [aut, cph], Kayla Schaefer [aut], Hadley Wickham [aut]
Repository: CRAN
Date/Publication: 2023-05-18 08:40:02 UTC

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New package Certara.NLME8 with initial version 1.2.3
Package: Certara.NLME8
Version: 1.2.3
Title: Utilities for Certara's Nonlinear Mixed-Effects Modeling Engine
Description: Perform Nonlinear Mixed-Effects (NLME) Modeling using Certara's NLME-Engine. Access the same Maximum Likelihood engines used in the Phoenix platform, including algorithms for parametric methods, individual, and pooled data analysis <https://www.certara.com/app/uploads/2020/06/BR_PhoenixNLME-v4.pdf>. The Quasi-Random Parametric Expectation-Maximization Method (QRPEM) is also supported <https://www.page-meeting.org/default.asp?abstract=2338>. Execution is supported both locally or on remote machines. Remote execution includes support for Linux Sun Grid Engine (SGE), Terascale Open-source Resource and Queue Manager (TORQUE) grids, Linux and Windows multicore, and individual runs.
Depends: R (>= 4.0.0)
License: LGPL-3
Suggests: testthat
Imports: xml2, batchtools (>= 0.9.9), reshape, utils, data.table
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-17 20:45:14 UTC; jcraig
Author: Soltanshahi Fred [aut], Michael Tomashevskiy [aut], James Craig [aut, cre], Shuhua Hu [ctb], Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2023-05-18 08:30:06 UTC

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New package cases with initial version 0.1.1
Package: cases
Title: Stratified Evaluation of Subgroup Classification Accuracy
Version: 0.1.1
Description: Enables simultaneous statistical inference for the accuracy of multiple classifiers in multiple subgroups (strata). For instance, allows to perform multiple comparisons in diagnostic accuracy studies with co-primary endpoints sensitivity and specificity. (Westphal, Max, and Antonia Zapf. (2021). "Statistical Inference for Diagnostic Test Accuracy Studies with Multiple Comparisons." <arXiv:2105.13469>.)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: bindata, boot, copula, corrplot, dplyr, extraDistr, magrittr, Matrix, multcomp, mvtnorm, ggplot2
Suggests: testthat (>= 3.0.0), knitr, readr, rmarkdown, covr, badger, glmnet, splitstackshape
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/maxwestphal/cases
BugReports: https://github.com/maxwestphal/cases/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-05-14 07:22:36 UTC; maxwe
Author: Max Westphal [aut, cre]
Maintainer: Max Westphal <max.westphal@steady.ai>
Repository: CRAN
Date/Publication: 2023-05-18 08:30:02 UTC

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New package BIDistances with initial version 0.0.2
Package: BIDistances
Title: Bioinformatic Distances
Version: 0.0.2
Date: 2023-05-16
Maintainer: Quirin Stier <Quirin_Stier@gmx.de>
Description: A few high-performant methods for computing distances measures for bioinformatics data. The weighted euclidean distance can be computed with 'OpenCL' on the GPU or with a parallelized version on the CPU. Other important distance measures for bioinformatics data are selected from the R package 'parallelDist'. A special distance measure for the Gene Ontology is available.
Depends: R (>= 3.5.0)
License: GPL-3
LazyLoad: yes
Imports: parallelDist
Suggests: knitr, rmarkdown, remotes, sphet, OpenCL, parallel
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-17 15:40:43 UTC; quiri
Author: Quirin Stier [aut, rev, ctb, cre] , Michael Thrun [aut] , Luca Brinkmann [ctb]
Repository: CRAN
Date/Publication: 2023-05-18 08:10:02 UTC

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Wed, 17 May 2023

New package cascadeSelect with initial version 1.0.0
Package: cascadeSelect
Title: A Cascade Select Input for 'Shiny'
Version: 1.0.0
Description: Provides a cascade select widget for usage in 'Shiny' applications. This is useful for selection of hierarchical choices (e.g. continent, country, city). It is taken from the 'JavaScript' library 'PrimeReact'.
License: GPL-3
Depends: R (>= 2.10)
Imports: fontawesome, grDevices, htmltools, reactR, shiny
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-17 11:50:50 UTC; stla
Author: Stephane Laurent [aut, cre], PrimeTek Informatics [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2023-05-17 15:10:02 UTC

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New package chemdeg with initial version 0.1.2
Package: chemdeg
Title: Analysis of Chemical Degradation Kinetic Data
Version: 0.1.2
Description: A collection of functions that have been developed to assist experimenter in modeling chemical degradation kinetic data. The selection of the appropriate degradation model and parameter estimation is carried out automatically as far as possible and is driven by a rigorous statistical interpretation of the results. The package integrates already available goodness-of-fit statistics for nonlinear models. In addition it allows data fitting with the nonlinear first-order multi-target (FOMT) model.
License: GPL (>= 3)
URL: https://github.com/migliomatte/chemdeg, https://migliomatte.github.io/chemdeg/
BugReports: https://github.com/migliomatte/chemdeg/issues
Depends: R (>= 2.10)
Imports: graphics, MASS, methods, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-17 09:35:04 UTC; matteo
Author: Matteo Migliorini [aut, cre, cph], Roberto Chignola [aut]
Maintainer: Matteo Migliorini <matteo.migliorini@univr.it>
Repository: CRAN
Date/Publication: 2023-05-17 14:50:02 UTC

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New package volcano3D with initial version 2.0.9
Package: volcano3D
Title: 3D Volcano Plots and Polar Plots for Three-Class Data
Version: 2.0.9
Maintainer: Katriona Goldmann <katrionagoldmann@gmail.com>
URL: https://katrionagoldmann.github.io/volcano3D/index.html, https://github.com/KatrionaGoldmann/volcano3D
BugReports: https://github.com/KatrionaGoldmann/volcano3D/issues
Description: Generates interactive plots for analysing and visualising three-class high dimensional data. It is particularly suited to visualising differences in continuous attributes such as gene/protein/biomarker expression levels between three groups. Differential gene/biomarker expression analysis between two classes is typically shown as a volcano plot. However, with three groups this type of visualisation is particularly difficult to interpret. This package generates 3D volcano plots and 3-way polar plots for easier interpretation of three-class data.
Language: en-gb
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-17 10:02:31 UTC; kgoldmann
Imports: plotly, ggplot2, ggpubr, htmlwidgets, magrittr, methods, Rfast, rlang, matrixTests
Suggests: DESeq2, edgeR, limma, qvalue, SummarizedExperiment, knitr, rmarkdown, kableExtra, usethis, easylabel
Author: Katriona Goldmann [aut, cre] , Myles Lewis [aut]
Repository: CRAN
Date/Publication: 2023-05-17 11:00:02 UTC

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New package stabiliser with initial version 1.0.6
Package: stabiliser
Title: Stabilising Variable Selection
Version: 1.0.6
Description: A stable approach to variable selection through stability selection and the use of a permutation-based objective stability threshold. Lima et al (2021) <doi:10.1038/s41598-020-79317-8>, Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
Suggests: rmarkdown, testthat (>= 3.0.0), markdown
Imports: glmnet, dplyr, bigstep, rsample, tibble, purrr, tidyr, stringr, ggplot2, broom, caret, ncvreg, knitr, Hmisc, expss, lme4, matrixStats, recipes, lmerTest
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-17 09:39:37 UTC; svzrh2
Author: Robert Hyde [aut, cre] , Martin Green [aut], Eliana Lima [aut]
Maintainer: Robert Hyde <robert.hyde4@nottingham.ac.uk>
Repository: CRAN
Date/Publication: 2023-05-17 11:00:05 UTC

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New package rotatogram with initial version 0.1.3
Package: rotatogram
Title: A Non-Axis-Dominant Association Plotting Tool
Version: 0.1.3
Description: A rotatogram is a method of displaying an association which is axis non-dominant. This is achieved in two ways: First, the method of estimating the slope and intercept uses the least-products method rather than more typical least squared error for the "dependent" variable. The least products method has no "dependent" variable and is scale independent. Second, the plot is rotated such that the resulting regression line is vertical, reducing the suggestion that the vertical axis is the dominant one. The slope can be read relative to either axis equally.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2,stats,grid
NeedsCompilation: no
Packaged: 2023-05-16 22:33:09 UTC; noahh
Author: Noah Haber [aut, cre]
Maintainer: Noah Haber <noahhaber@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-17 09:00:02 UTC

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New package pheble with initial version 0.1.0
Package: pheble
Title: Classifying High-Dimensional Phenotypes with Ensemble Learning
Version: 0.1.0
Description: A system for binary and multi-class classification of high-dimensional phenotypic data using ensemble learning. By combining predictions from different classification models, this package attempts to improve performance over individual learners. The pre-processing, training, validation, and testing are performed end-to-end to minimize user input and simplify the process of classification.
License: GPL (>= 3)
Encoding: UTF-8
Imports: adabag, base, C50, caret, caTools, data.table, doParallel, dplyr, e1071, earth, evtree, frbs, glmnet, gmodels, hda, HDclassif, ipred, kernlab, kknn, klaR, magrittr, MASS, Matrix, mda, MLmetrics, nnet, parallel, party, pls, randomForest, rpartScore, sparseLDA, stats, themis, utils
Depends: R (>= 2.10)
LazyData: true
Suggests: h2o
NeedsCompilation: no
Packaged: 2023-05-16 20:35:33 UTC; bhlab
Author: Jay Devine [aut, cre, cph], Bened'ikt Hallgrimsson [aut]
Maintainer: Jay Devine <jay.devine1@ucalgary.ca>
Repository: CRAN
Date/Publication: 2023-05-17 08:50:11 UTC

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New package mdir with initial version 0.9.0
Package: mdir
Title: Bayesian Model-Based Clustering of Multi-Modal Data
License: GPL-3
Version: 0.9.0
Date: 2023-05-16
Description: Integrative clustering and semi-supervised prediction. This package includes a 'C++' implementation of both semi-supervised and unsupervised Multiple Dataset Integration (MDI; Kirk et al., 2012 <https://doi-org.ezp.lib.cam.ac.uk/10.1093/bioinformatics/bts595>), an extension of Bayesian mixture models to the integrative (multiple dataset or multi-modal) setting such as multi-omics analysis. The package also includes Bayesian mixture models. Densities allowed within MDI and the mixture model are Gaussian with full and diagonal covariance matrices, categorical, Gaussian with a Gaussian process (GP) prior on the mean parameter. The GP model implemented canonly handle data with common time points of equal separation. The Gaussian and GP models can be augmented with a global multivariate t distribution to handle outliers.
Imports: Rcpp (>= 1.0.6), RcppParallel, ggplot2, stringr, tidyr, salso
LinkingTo: Rcpp, RcppArmadillo, testthat, RcppParallel
Suggests: xml2
SystemRequirements: GNU make
Encoding: UTF-8
URL: https://github.com/stcolema/mdir
BugReports: https://github.com/stcolema/mdir/issues
NeedsCompilation: yes
Packaged: 2023-05-16 13:51:58 UTC; stephen
Author: Stephen Coleman [aut, cre], Paul Kirk [aut], Chris Wallace [aut], Oliver Crook [aut]
Maintainer: Stephen Coleman <stcolema@tcd.ie>
Repository: CRAN
Date/Publication: 2023-05-17 08:40:02 UTC

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New package ETASbootstrap with initial version 0.1.0
Package: ETASbootstrap
Title: Bootstrap Confidence Interval Estimation for 'ETAS' Model Parameters
Description: The 2-D spatial and temporal Epidemic Type Aftershock Sequence ('ETAS') Model is widely used to 'decluster' earthquake data catalogs. Usually, the calculation of standard errors of the 'ETAS' model parameter estimates is based on the Hessian matrix derived from the log-likelihood function of the fitted model. However, when an 'ETAS' model is fitted to a local data set over a time period that is limited or short, the standard errors based on the Hessian matrix may be inaccurate. It follows that the asymptotic confidence intervals for parameters may not always be reliable. As an alternative, this package allows the building of bootstrap confidence intervals based on empirical quantiles for the parameters of the 2-D spatial and temporal 'ETAS' model.
Version: 0.1.0
Author: Renjie Peng [aut, cre], Pierre Dutilleul [aut] , Christian Genest [aut]
Maintainer: Renjie Peng <renjie.peng@mail.mcgill.ca>
Depends: R (>= 3.3.0)
Imports: ETAS (>= 0.5.1), MASS (>= 7.3.58.2), stats (>= 4.2.2), utils (>= 4.2.2)
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-16 20:10:33 UTC; rjpeng
Repository: CRAN
Date/Publication: 2023-05-17 08:50:14 UTC

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New package agena.ai with initial version 1.0.0
Package: agena.ai
Title: R Wrapper for 'agena.ai' API
Version: 1.0.0
Description: An R wrapper for 'agena.ai' <https://www.agena.ai> which provides users capabilities to work with 'agena.ai' using the R environment. Users can create Bayesian network models from scratch or import existing models in R and export to 'agena.ai' cloud or local API for calculations.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rjson, httr, openxlsx, Rgraphviz, methods, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-16 22:05:53 UTC; erhan
Author: Erhan Pisirir [aut], Eugene Dementiev [aut, cre], Martin Neil [aut, cph]
Maintainer: Eugene Dementiev <support@agenarisk.com>
Repository: CRAN
Date/Publication: 2023-05-17 09:00:05 UTC

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Tue, 16 May 2023

New package navigation with initial version 0.0.1
Package: navigation
Title: Analyze the Impact of Sensor Error Modelling on Navigation Performance
Version: 0.0.1
LazyData: true
SystemRequirements: GNU make
LazyDataCompression: xz
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>
Description: Implements the framework presented in Cucci, D. A., Voirol, L., Khaghani, M. and Guerrier, S. (2023) <doi:10.1109/TIM.2023.3267360> which allows to analyze the impact of sensor error modeling on the performance of integrated navigation (sensor fusion) based on inertial measurement unit (IMU), Global Positioning System (GPS), and barometer data. The framework relies on Monte Carlo simulations in which a Vanilla Extended Kalman filter is coupled with realistic and user-configurable noise generation mechanisms to recover a reference trajectory from noisy measurements. The evaluation of several statistical metrics of the solution, aggregated over hundreds of simulated realizations, provides reasonable estimates of the expected performances of the system in real-world conditions.
Depends: R (>= 4.0.0), plotly, magrittr, simts
License: AGPL-3
Imports: expm, rbenchmark, leaflet, MASS, pbmcapply, Rcpp (>= 0.8.0), RcppArmadillo (>= 0.2.0)
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/SMAC-Group/navigation
BugReports: https://github.com/SMAC-Group/navigation/issues
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-05-16 09:06:11 UTC; lionel
Author: Davide A. Cucci [aut], Lionel Voirol [aut, cre], Mehran Khaghani [aut], Stephane Guerrier [aut]
Repository: CRAN
Date/Publication: 2023-05-16 17:50:02 UTC

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New package compindPCA with initial version 0.1.0
Package: compindPCA
Title: Computation of Relative Weights of Variables and Composite Index Values Based on PCA
Version: 0.1.0
Maintainer: Rajeev Ranjan Kumar <rrk.uasd@gmail.com>
Description: It helps in development of a principal component analysis based composite index by assigning weights to variables and combining the weighted variables. For method details see Sendhil, R., Jha, A., Kumar, A. and Singh, S. (2018). <doi:10.1016/j.ecolind.2018.02.053>, and Wu, T. (2021). <doi:10.1016/j.ecolind.2021.108006>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: factoextra
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-05-16 11:08:59 UTC; user
Author: Sudipta Paul [aut, ctb], Rajeev Ranjan Kumar [aut, cre], Mrinmoy Ray [ctb], Biswajit Mondal [ctb], Prakash Kumar [ctb]
Repository: CRAN
Date/Publication: 2023-05-16 17:50:06 UTC

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New package OpenRepGrid with initial version 0.1.14
Package: OpenRepGrid
License: GPL (>= 2)
Title: Tools to Analyze Repertory Grid Data
LazyData: yes
LazyLoad: yes
Description: Analyze repertory grids, a qualitative-quantitative data collection technique devised by George A. Kelly in the 1950s. Today, grids are used across various domains ranging from clinical psychology to marketing. The package contains functions to quantitatively analyze and visualize repertory grid data.
Version: 0.1.14
Date: 2023-05-16
Encoding: UTF-8
URL: https://github.com/markheckmann/OpenRepGrid
Imports: methods, graphics, grid, utils, stats, grDevices, crayon, plyr, stringr, abind, rgl, colorspace, psych, XML, pvclust, openxlsx, tidyr, dplyr, scales, igraph
NeedsCompilation: no
Suggests: testthat (>= 2.1.0), covr
Packaged: 2023-05-16 13:47:30 UTC; MarkHeckmann
Author: Mark Heckmann [aut, cre, cph] , Alejandro Garcia Gutierrez [ctb], Diego Vitali [ctb]
Maintainer: Mark Heckmann <heckmann.mark@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-16 15:00:11 UTC

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New package wcox with initial version 1.0
Package: wcox
Title: Weights to Correct for Outcome Dependent Sampling in Time to Event Data
Version: 1.0
Description: A new inverse probability of selection weighted Cox model to deal with outcome-dependent sampling in survival analysis.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, survival, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-15 14:59:26 UTC; veraarntzen
Author: Vera Arntzen [aut, cre] , Mar Rodriguez-Girondo [aut]
Maintainer: Vera Arntzen <v.h.arntzen@math.leidenuniv.nl>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-05-16 08:30:02 UTC

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New package validateIt with initial version 1.2.1
Package: validateIt
Title: Validating Topic Coherence and Topic Labels
Version: 1.2.1
Description: By creating crowd-sourcing tasks that can be easily posted and results retrieved using Amazon's Mechanical Turk (MTurk) API, researchers can use this solution to validate the quality of topics obtained from unsupervised or semi-supervised learning methods, and the relevance of topic labels assigned. This helps ensure that the topic modeling results are accurate and useful for research purposes. See Ying and others (2022) <doi:10.1101/2023.05.02.538599>. For more information, please visit <https://github.com/Triads-Developer/Topic_Model_Validation>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: pyMTurkR, rlang (>= 0.4.11), tm (>= 0.7-11), here, SnowballC
Suggests: roxygen2, testthat
Author: Luwei Ying [aut, cre] , Jacob Montgomery [aut], Brandon Stewart [aut]
Maintainer: Luwei Ying <triads.developers@wustl.edu>
Repository: CRAN
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-05-15 12:34:05 UTC; jessiewalker
Date/Publication: 2023-05-16 08:20:02 UTC

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New package isopleuros with initial version 1.0.0
Package: isopleuros
Title: Ternary Plots
Version: 1.0.0
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Description: Ternary plots made simple. This package allows to create ternary plots using 'graphics'. It provides functions to display the data in the ternary space, to add or tune graphical elements and to display statistical summaries. It also includes common ternary diagrams which are useful for the archaeologist (e.g. soil texture charts, ceramic phase diagram).
License: GPL (>= 3)
URL: https://packages.tesselle.org/isopleuros/, https://github.com/tesselle/isopleuros
BugReports: https://github.com/tesselle/isopleuros/issues
Depends: R (>= 2.10)
Imports: graphics, grDevices, methods, utils
Suggests: akima, testthat (>= 3.0.0), vdiffr (>= 1.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-15 22:24:57 UTC; nicolas
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [ctb]
Repository: CRAN
Date/Publication: 2023-05-16 08:40:02 UTC

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New package drcSeedGerm with initial version 1.0.1
Package: drcSeedGerm
Date: 2023-04-20
Title: Utilities for Data Analyses in Seed Germination/Emergence Assays
Version: 1.0.1
Depends: R (>= 3.5.0), drc, drcte
Imports: plyr, dplyr, mvtnorm, survival
Author: Andrea Onofri <andrea.onofri@unipg.it>
Maintainer: Andrea Onofri <andrea.onofri@unipg.it>
Description: Utility functions to be used to analyse datasets obtained from seed germination/emergence assays. Fits several types of seed germination/emergence models, including those reported in Onofri et al. (2018) "Hydrothermal-time-to-event models for seed germination", European Journal of Agronomy, 101, 129-139 <doi:10.1016/j.eja.2018.08.011>. Contains several datasets for practicing.
URL: https://www.statforbiology.com
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-15 14:26:00 UTC; andrea
Repository: CRAN
Date/Publication: 2023-05-16 08:30:05 UTC

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New package baldur with initial version 0.0.1
Package: baldur
Title: Bayesian Hierarchical Modeling for Label-Free Proteomics
Version: 0.0.1
Description: Statistical decision in proteomics data using a hierarchical Bayesian model. There are two regression models for describing the mean-variance trend, a gamma regression or a latent gamma mixture regression. The regression model is then used as an Empirical Bayes estimator for the prior on the variance in a peptide. Further, it assumes that each measurement has an uncertainty (increased variance) associated with it that is also inferred. Finally, it tries to estimate the posterior distribution (by Hamiltonian Monte Carlo) for the differences in means for each peptide in the data. Once the posterior is inferred, it integrates the tails to estimate the probability of error from which a statistical decision can be made.
License: MIT + file LICENSE
URL: https://www.biorxiv.org/content/10.1101/2023.05.11.540411v1
Encoding: UTF-8
Language: en-US
Biarch: true
Depends: R (>= 4.2.0)
Imports: dplyr (>= 1.0.9), magrittr (>= 2.0.3), methods, purrr (>= 0.3.4), Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.2.0), stats, stringr (>= 1.0.4), tidyr (>= 1.2.0), rlang (>= 1.0.2), Rdpack (>= 2.4), multidplyr (>= 0.1.1), ggplot2 (>= 3.3.6), tibble (>= 3.1.7), viridisLite (>= 0.4.1), lifecycle
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2023-05-15 20:49:41 UTC; Pberg
Author: Philip Berg [aut, cre]
Maintainer: Philip Berg <pb1015@msstate.edu>
Repository: CRAN
Date/Publication: 2023-05-16 08:40:07 UTC

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Mon, 15 May 2023

New package StepGWR with initial version 0.1.0
Package: StepGWR
Title: A Hybrid Spatial Model for Prediction and Capturing Spatial Variation in the Data
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: It is a hybrid spatial model that combines the variable selection capabilities of stepwise regression methods with the predictive power of the Geographically Weighted Regression(GWR) model.The developed hybrid model follows a two-step approach where the stepwise variable selection method is applied first to identify the subset of predictors that have the most significant impact on the response variable, and then a GWR model is fitted using those selected variables for spatial prediction at test or unknown locations. For method details,see Leung, Y., Mei, C. L. and Zhang, W. X. (2000).<DOI:10.1068/a3162>.This hybrid spatial model aims to improve the accuracy and interpretability of GWR predictions by selecting a subset of relevant variables through a stepwise selection process.This approach is particularly useful for modeling spatially varying relationships and improving the accuracy of spatial predictions.
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: stats, qpdf, numbers,MASS
NeedsCompilation: no
Packaged: 2023-05-15 10:35:54 UTC; nobin ch paul
Author: Nobin Chandra Paul [aut, cre, cph], Moumita Baishya [aut]
Maintainer: Nobin Chandra Paul <nobin.paul@icar.gov.in>
Repository: CRAN
Date/Publication: 2023-05-15 19:10:16 UTC

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New package ssMRCD with initial version 0.1.0
Package: ssMRCD
Title: Spatially Smoothed MRCD Estimator
Version: 0.1.0
Maintainer: Patricia Puchhammer <patricia.puchhammer@tuwien.ac.at>
Description: Estimation of the Spatially Smoothed Minimum Regularized Determinant (ssMRCD) estimator and its usage in an ssMRCD-based outlier detection method as described in Puchhammer and Filzmoser (2023) <doi:10.48550/arXiv.2305.05371>. Included are also complementary visualization and parameter tuning tools.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, grDevices, graphics, robustbase, scales, car, dbscan, plot3D, dplyr, ggplot2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-15 08:33:58 UTC; puchhammer
Author: Patricia Puchhammer [aut, cre, cph], Peter Filzmoser [aut]
Repository: CRAN
Date/Publication: 2023-05-15 19:20:02 UTC

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New package samadb with initial version 0.2.6
Package: samadb
Title: South Africa Macroeconomic Database API
Version: 0.2.6
Description: An R API providing access to a relational database with macroeconomic time series data for South Africa, obtained from the South African Reserve Bank (SARB) and Statistics South Africa (STATSSA), and updated on a weekly basis via the EconData <https://www.econdata.co.za/> platform and automated scraping of the SARB and STATSSA websites. The database is maintained at the Department of Economics at Stellenbosch University.
BugReports: https://github.com/Stellenbosch-Econometrics/SAMADB-Issues/issues
License: GPL-3
Encoding: UTF-8
Imports: DBI, RMySQL, writexl, data.table, collapse (>= 1.8.0)
Depends: R (>= 3.3.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-15 10:11:36 UTC; sebastiankrantz
Author: Sebastian Krantz [aut, cre]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Repository: CRAN
Date/Publication: 2023-05-15 19:10:02 UTC

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New package brsim with initial version 0.1
Package: brsim
Title: Brainerd-Robinson Similarity Coefficient Matrix
Version: 0.1
Description: Provides the facility to calculate the Brainerd-Robinson similarity coefficient for the rows of an input table, and to calculate the significance of each coefficient based on a permutation approach; optionally, hierarchical agglomerative clustering can be performed and the silhouette method is used to identify an optimal number of clusters.
Depends: R (>= 4.0.0)
Imports: cluster (>= 2.1.4), corrplot (>= 0.92), grDevices (>= 4.2.2), RcmdrMisc (>= 2.7.0), stats (>= 4.2.0)
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-15 11:09:43 UTC; gianmarcoalberti
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-15 19:20:05 UTC

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New package ActuarialM with initial version 0.1.0
Package: ActuarialM
Title: Computation of Actuarial Measures Using Bell G Family
Version: 0.1.0
Author: Muhammad Imran [aut, cre], M.H. Tahir [aut], Saima Shakoor [aut]
Maintainer: Muhammad Imran <imranshakoor84@yahoo.com>
Depends: R (>= 2.0)
Imports: stats
Description: It computes two frequently applied actuarial measures, the expected shortfall and the value at risk. Seven well-known classical distributions in connection to the Bell generalized family are used as follows: Bell-exponential distribution, Bell-extended exponential distribution, Bell-Weibull distribution, Bell-extended Weibull distribution, Bell-Lomax distribution, Bell-Burr-12 distribution, and Bell-Burr-X distribution. Related works include: a) Fayomi, A., Tahir, M. H., Algarni, A., Imran, M., & Jamal, F. (2022). "A new useful exponential model with applications to quality control and actuarial data". Computational Intelligence and Neuroscience, 2022. <doi:10.1155/2022/2489998>. b) Alsadat, N., Imran, M., Tahir, M. H., Jamal, F., Ahmad, H., & Elgarhy, M. (2023). "Compounded Bell-G class of statistical models with applications to COVID-19 and actuarial data". Open Physics, 21(1), 20220242. <doi:10.1515/phys-2022-0242>.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-15 09:12:34 UTC; Amir computers
Repository: CRAN
Date/Publication: 2023-05-15 19:06:06 UTC

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New package pycno with initial version 1.3
Package: pycno
Title: Pycnophylactic Interpolation
Version: 1.3
Date: 2023-05-09
Author: Chris Brunsdon
Maintainer: Francesca Bitonti <francesca.bitonti@phd.unict.it>
Depends: stats, sp, maptools, rgeos, methods,utils
Description: Given a SpatialPolygonsDataFrame and a set of populations for each polygon, compute a population density estimate based on Tobler's pycnophylactic interpolation algorithm. The result is a SpatialGridDataFrame. Methods are described in Tobler Waldo R. (1979) <doi:10.1080/01621459.1979.10481647>.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2023-05-15 07:28:32 UTC; Fra
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2023-05-15 09:10:01 UTC

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New package boostingDEA with initial version 0.1.0
Package: boostingDEA
Title: A Boosting Approach to Data Envelopment Analysis
Version: 0.1.0
Maintainer: Maria D. Guillen <maria.guilleng@umh.es>
Description: Includes functions to estimate production frontiers and make ideal output predictions in the Data Envelopment Analysis (DEA) context using both standard models from DEA and Free Disposal Hull (FDH) and boosting techniques. In particular, EATBoosting (Guillen et al., 2023 <doi:10.1016/j.eswa.2022.119134>) and MARSBoosting. Moreover, the package includes code for estimating several technical efficiency measures using different models such as the input and output-oriented radial measures, the input and output-oriented Russell measures, the Directional Distance Function (DDF), the Weighted Additive Measure (WAM) and the Slacks-Based Measure (SBM).
License: AGPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Rglpk, dplyr, lpSolveAPI, stats, MLmetrics, methods
URL: https://github.com/itsmeryguillen/boostingDEA
BugReports: https://github.com/itsmeryguillen/boostingDEA/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-05-15 07:58:20 UTC; Master
Author: Maria D. Guillen [cre, aut] , Juan Aparicio [aut] , Victor Espana [aut]
Repository: CRAN
Date/Publication: 2023-05-15 09:10:04 UTC

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New package weatherindices with initial version 0.1.0
Package: weatherindices
Title: Calculate Weather Indices
Version: 0.1.0
Description: Weather indices represent the overall weekly effect of a weather variable on crop yield throughout the cropping season. This package contains functions that can convert the weekly weather data into yearly weighted Weather indices with weights being the correlation coefficient between weekly weather data over the years and crop yield over the years. This can be done for an individual weather variable and for two weather variables at a time as the interaction effect. This method was first devised by Jain, RC, Agrawal R, and Jha, MP (1980), "Effect of climatic variables on rice yield and its forecast",MAUSAM, 31(4), 591–596, <doi:10.54302/mausam.v31i4.3477>. Later, the method have been used by various researchers and the latest can found in Gupta, AK, Sarkar, KA, Dhakre, DS, & Bhattacharya, D (2022), "Weather Based Potato Yield Modelling using Statistical and Machine Learning Technique",Environment and Ecology, 40(3B), 1444–1449,<https://www.environmentandecology.com/volume-4 [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-12 19:50:27 UTC; dell
Author: Akhilesh Kumar Gupta [aut, cph, cre] , Kader Ali Sarkar [ths], Digvijay Singh Dhakre [ths], Debasis Bhattacharya [ths]
Maintainer: Akhilesh Kumar Gupta <akhileshgupta.ouat@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-15 08:30:02 UTC

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New package nestedLogit with initial version 0.2.1
Package: nestedLogit
Title: Nested Dichotomy Logistic Regression Models
Version: 0.2.1
Description: Provides functions for specifying and fitting nested dichotomy logistic regression models for a multi-category response and methods for summarising those models. Nested dichotomies are statistically independent, and hence provide an additive decomposition of tests for the overall 'polytomous' response. When the dichotomies make sense substantively, this method can be a simpler alternative to the standard 'multinomial' logistic model which compares response categories to a reference level. See: J. Fox (2016), "Applied Regression Analysis and Generalized Linear Models", 3rd Ed., ISBN 1452205663.
License: GPL (>= 2)
URL: https://github.com/friendly/nestedLogit
BugReports: https://github.com/friendly/nestedLogit/issues
Depends: R (>= 3.5.0)
Imports: broom, car, dplyr, graphics, grDevices, stats
Suggests: carData, directlabels, geomtextpath, ggplot2, here, knitr, nnet, rmarkdown, spelling, testthat, tidyr
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
LazyData: TRUE
NeedsCompilation: no
Packaged: 2023-05-12 15:09:47 UTC; friendly
Author: John Fox [aut] , Michael Friendly [aut, cre] , Achim Zeileis [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2023-05-15 08:20:02 UTC

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New package intrinsicFRP with initial version 0.1.0
Package: intrinsicFRP
Title: Adaptive Estimation of Intrinsic Factor Risk Premia
Version: 0.1.0
Date: 2023-05-12
Maintainer: Alberto Quaini <alberto91quaini@gmail.com>
Description: Efficient computation of intrinsic and adaptive intrinsic factor risk premia and their standard errors. Intrinsic factor risk premia are defined as the negative factor covariance with the SDF projection on test asset returns. As opposed to benchmark notions of factor risk premia, they are well-defined even in presence of useless and weak factors, they do not depend on the degree of misspecification of the factor model, and are one-to-one linked to two-pass mimicking factor risk premia coefficients, whenever the latter are also well-defined.
License: GPL (>= 3)
URL: https://github.com/a91quaini/intrinsicFRP
BugReports: https://github.com/a91quaini/intrinsicFRP/issues
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: graphics, Rcpp, stats
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2023-05-12 17:16:10 UTC; albertoquaini
Author: Alberto Quaini [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-05-15 08:20:05 UTC

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New package denguedatahub with initial version 1.0.4
Package: denguedatahub
Title: A Tidy Format Datasets of Dengue by Country
Version: 1.0.4
Description: Provides a weekly, monthly, yearly summary of dengue cases by state/ province/ country.
License: GPL-3
URL: https://denguedatahub.netlify.app/
BugReports: https://github.com/thiyangt/denguedatahub/issues
Encoding: UTF-8
Imports: dplyr, rlang (>= 0.4.11)
Depends: R (>= 3.5.0)
LazyData: true
Suggests: roxygen2, tsibble
NeedsCompilation: no
Packaged: 2023-05-13 06:09:14 UTC; thiyangashaminitalagala
Author: Thiyanga S. Talagala [aut, cre]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>
Repository: CRAN
Date/Publication: 2023-05-15 08:40:02 UTC

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New package ddsPLS with initial version 1.2.0
Package: ddsPLS
Version: 1.2.0
Date: 2023-05-12
Title: Data-Driven Sparse Partial Least Squares
Description: Allows to build Data-Driven Sparse Partial Least Squares models with high-dimensional settings. Number of components and regularization coefficients are automatically set. It comes with visualization functions and uses 'Rcpp' functions for fast computations and 'doParallel' to parallelize bootstrap operations. An applet has been developed to apply this procedure. This is based on H Lorenzo, O Cloarec, R Thiebaut, J Saracco (2021) <doi:10.1002/sam.11558>.
Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
Depends: foreach, doParallel, shiny
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp, RcppEigen
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-05-12 14:58:47 UTC; hlorenzo
Author: Hadrien Lorenzo [aut, cre], Misbah Razzaq [ctb], Olivier Cloarec [aut], Jerome Saracco [aut]
Repository: CRAN
Date/Publication: 2023-05-15 08:20:09 UTC

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Sat, 13 May 2023

New package bigstep with initial version 1.1.1
Package: bigstep
Title: Stepwise Selection for Large Data Sets
Version: 1.1.1
Date: 2023-5-11
Description: Selecting linear and generalized linear models for large data sets using modified stepwise procedure and modern selection criteria (like modifications of Bayesian Information Criterion). Selection can be performed on data which exceed RAM capacity. Bogdan et al., (2004) <doi:10.1534/genetics.103.021683>.
License: GPL-3
URL: https://github.com/pmszulc/bigstep
BugReports: https://github.com/pmszulc/bigstep/issues
Depends: R (>= 3.5.0)
Imports: bigmemory, magrittr, matrixStats, R.utils, RcppEigen, speedglm, stats, utils
Suggests: devtools, knitr, rmarkdown, testthat
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-11 14:03:12 UTC; Piotr
Author: Piotr Szulc [aut, cre]
Maintainer: Piotr Szulc <piotr.michal.szulc@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-13 23:12:03 UTC

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Fri, 12 May 2023

New package traitstrap with initial version 0.1.0
Package: traitstrap
Title: Bootstrap Trait Values to Calculate Moments
Version: 0.1.0
Description: Calculates trait moments from trait and community data using the methods developed in Maitner et al (2021) <doi:10.22541/au.162196147.76797968/v1>.
URL: https://github.com/Plant-Functional-Trait-Course/traitstrap/
BugReports: https://github.com/Plant-Functional-Trait-Course/traitstrap/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.2.0)
Imports: dplyr (>= 1.0.0), purrr, rlang, e1071, glue, ggplot2, tibble, stringr, fitdistrplus, tidyr
Suggests: testthat, knitr, rmarkdown, FD, TPD
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-11 11:10:37 UTC; gbsrt
Author: Richard J. Telford [aut, cre] , Aud H. Halbritter [aut] , Brian S. Maitner [aut]
Maintainer: Richard J. Telford <richard.telford@uib.no>
Repository: CRAN
Date/Publication: 2023-05-12 14:10:02 UTC

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New package Tex4exams with initial version 0.1.2
Package: Tex4exams
Title: Generating 'Sweave' Code for 'R/exams' Questions in Mathematics
Version: 0.1.2
Description: When using the R package 'exams' to write mathematics questions in 'Sweave' files, the output of a lot of R functions need to be adjusted for display in mathematical formulas. Specifically, the functions were accumulated when writing questions for the topics of the mathematics courses College Algebra, Precalculus, Calculus, Differential Equations, Introduction to Probability, and Linear Algebra. The output of the developed functions can be used in 'Sweave' files.
Depends: numbers, fractional, pracma, polynom
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-05-11 14:16:21 UTC; Hu
Author: Qingwen Hu [aut, cre, cph]
Maintainer: Qingwen Hu <huqwen@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-12 14:20:02 UTC

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New package RTSA with initial version 0.1.0
Package: RTSA
Title: 'Trial Sequential Analysis' for Error Control and Inference in Sequential Meta-Analyses
Version: 0.1.0
Description: Frequentist meta-analysis and sequential meta-analysis based on 'Trial Sequential Analysis' (TSA) by Copenhagen Trial Unit (CTU). Primary usage is the calculation of group sequential designs for meta-analysis to be used for planning and analysis of both prospective and retrospective sequential meta-analyses to preserve type-I-error control under sequential testing. 'RTSA' includes tools for sample and trial size calculation for meta-analysis and core meta-analyses methods such as fixed-effect and random-effects models and forest plots. TSA is described in Wetterslev et. al (2008) <doi:10.1016/j.jclinepi.2007.03.013>. The methods for deriving the group sequential designs are based on Jennison and Turnbull (1999, ISBN:9780849303166).
License: GPL (>= 2)
Imports: stats, metafor, ggplot2, scales, Rcpp (>= 0.11.0)
LinkingTo: Rcpp
Encoding: UTF-8
Depends: R (>= 3.5.0)
LazyData: true
Suggests: gsDesign, CompQuadForm, dplyr, kableExtra, rmarkdown, knitr, bookdown, gridExtra
VignetteBuilder: knitr, bookdown
NeedsCompilation: yes
Packaged: 2023-05-11 17:26:32 UTC; anne
Author: Anne Lyngholm Soerensen [aut, cre]
Maintainer: Anne Lyngholm Soerensen <lynganne@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-12 14:30:11 UTC

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New package mnmer with initial version 0.99.1
Package: mnmer
Title: '(m,n)-mer' - A Simple Statistical Feature for Sequence Classification
Version: 0.99.1
Description: The (m,n)-mer is a statistical feature calculated from conditional frequency distributions obtained from a FASTA file. The resulting table, along with class information, is used to create the classification feature matrix. For more information on this method and its benchmarking results, refer to Andrade et al.'s upcoming publication titled "(m,n)-mer - A Simple Statistical Feature for Sequence Classification".
License: Artistic-2.0
Encoding: UTF-8
LinkingTo: cpp11
VignetteBuilder: knitr
Suggests: BiocStyle, covr, knitr, rmarkdown, testthat (>= 3.0.0), caret, MLeval, randomForest
Depends: R(>= 4.1.0), utils, Biostrings
NeedsCompilation: yes
Packaged: 2023-05-11 18:04:19 UTC; tavinbio
Author: Amanda Andrade [cre, aut] , Marco Grivet [aut] , Otavio Brustolini [aut] , Ana Vasconcelos [aut, ths]
Maintainer: Amanda Andrade <aandradebio@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-12 14:30:05 UTC

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