Sat, 17 Feb 2024

Package ptvapi updated to version 2.0.5 with previous version 2.0.3 dated 2022-08-15

Title: Access the 'Public Transport Victoria' Timetable API
Description: Access the 'Public Transport Victoria' Timetable API <https://www.ptv.vic.gov.au/footer/data-and-reporting/datasets/ptv-timetable-api/>, with results returned as familiar R data structures. Retrieve information on stops, routes, disruptions, departures, and more.
Author: David Neuzerling [aut, cre, cph]
Maintainer: David Neuzerling <david@neuzerling.com>

Diff between ptvapi versions 2.0.3 dated 2022-08-15 and 2.0.5 dated 2024-02-17

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Package conquestr updated to version 1.3.0 with previous version 1.1.1 dated 2024-01-08

Title: An R Package to Extend 'ACER ConQuest'
Description: Extends 'ACER ConQuest' through a family of functions designed to improve graphical outputs and help with advanced analysis (e.g., differential item functioning). Allows R users to call 'ACER ConQuest' from within R and read 'ACER ConQuest' System Files (generated by the command `put` <https://conquestmanual.acer.org/s4-00.html#put>). Requires 'ACER ConQuest' version 5.33.2 or later. A demonstration version can be downloaded from <https://shop.acer.org/acer-conquest-5.html>.
Author: Dan Cloney [aut, cre] , Ray Adams [aut]
Maintainer: Dan Cloney <dan.cloney@acer.org>

Diff between conquestr versions 1.1.1 dated 2024-01-08 and 1.3.0 dated 2024-02-17

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New package ThermalSampleR with initial version 0.1.2
Package: ThermalSampleR
Title: Calculate Sample Sizes Required for Critical Thermal Limits Experiments
Version: 0.1.2
Maintainer: Clarke JM van Steenderen <vsteenderen@gmail.com>
Description: We present a range of simulations to aid researchers in determining appropriate sample sizes when performing critical thermal limits studies (e.g. CTmin/CTmin experiments). A number of wrapper functions are provided for plotting and summarising outputs from these simulations. This package is presented in van Steenderen, C.J.M., Sutton, G.F., Owen, C.A., Martin, G.D., and Coetzee, J.A. Sample size assessments for thermal physiology studies: An R package and R Shiny application. 2023. Physiological Entomology. <doi:10.1111/phen.12416>. The GUI version of this package is available on the R Shiny online server at: <https://clarkevansteenderen.shinyapps.io/ThermalSampleR_Shiny/> , or it is accessible via GitHub at <https://github.com/clarkevansteenderen/ThermalSampleR_Shiny/>. We would like to thank Grant Duffy (University of Otago, Dundedin, New Zealand) for granting us permission to use the source code for the Test of Total Equivalency function.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: tidyr, dplyr, purrr, rlang, MASS (>= 7.3), stats (>= 3.4.0), graphics (>= 3.4.0), base (>= 3.4.0), magrittr, utils, ggplot2, cowplot, EnvStats, sn, janitor, testthat
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-12 14:45:11 UTC; s1000334
Author: Guy Frederick Sutton [aut] , Clarke JM van Steenderen [aut, cre] , Grant Duffy [cph]
Repository: CRAN
Date/Publication: 2024-02-17 23:30:08 UTC

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New package SKFCPD with initial version 0.2.4
Package: SKFCPD
Title: Fast Online Changepoint Detection for Temporally Correlated Data
Version: 0.2.4
Date: 2024-02-15
Maintainer: Hanmo Li <hanmo@pstat.ucsb.edu>
Author: Hanmo Li [aut, cre], Yuedong Wang [aut], Mengyang Gu [aut]
Description: Sequential Kalman filter for scalable online changepoint detection by temporally correlated data. It enables fast single and multiple change points with missing values. See the reference: Hanmo Li, Yuedong Wang, Mengyang Gu (2023), <arXiv:2310.18611>.
License: GPL (>= 3)
Depends: R (>= 3.5.0), methods (>= 4.2.2), rlang (>= 1.0.6), ggplot2 (>= 3.4.0), ggpubr (>= 0.5.0), reshape2 (>= 1.4.4), FastGaSP (>= 0.5.2)
Imports: Rcpp (>= 1.0.9)
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2024-02-16 05:00:08 UTC; lihan
Repository: CRAN
Date/Publication: 2024-02-17 23:30:12 UTC

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Package rcompanion updated to version 2.4.35 with previous version 2.4.34 dated 2023-09-17

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support Summary and Analysis of Extension Program Evaluation in R, and An R Companion for the Handbook of Biological Statistics. Vignettes are available at <https://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

Diff between rcompanion versions 2.4.34 dated 2023-09-17 and 2.4.35 dated 2024-02-17

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New package N2H4 with initial version 0.8.3
Package: N2H4
Title: Handling Methods for Naver News Text Crawling
Version: 0.8.3
Description: Provides some functions to get Korean text sample from news articles in Naver which is popular news portal service <https://news.naver.com/> in Korea.
License: MIT + file LICENSE
URL: https://forkonlp.github.io/N2H4/, https://github.com/forkonlp/N2H4
BugReports: https://github.com/forkonlp/N2H4/issues
Depends: R (>= 3.5.0)
Encoding: UTF-8
Suggests: testthat, devtools, usethis
Imports: rvest, jsonlite, tibble, lifecycle, httr2, magrittr
NeedsCompilation: no
Packaged: 2024-02-17 22:33:12 UTC; mrchypark
Author: Chanyub Park [aut, cre]
Maintainer: Chanyub Park <mrchypark@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-17 23:20:34 UTC

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New package MIIVefa with initial version 0.1.2
Package: MIIVefa
Title: Exploratory Factor Analysis Using Model Implied Instrumental Variables
Version: 0.1.2
Date: 2024-02-14
Maintainer: Lan Luo <lanl27@live.unc.edu>
Description: Data-driven approach for Exploratory Factor Analysis (EFA) that uses Model Implied Instrumental Variables (MIIVs). The method starts with a one factor model and arrives at a suggested model with enhanced interpretability that allows cross-loadings and correlated errors.
License: MIT + file LICENSE
URL: https://github.com/lluo0/MIIVefa/
BugReports: https://github.com/lluo0/MIIVefa/issues
Depends: R (>= 4.2.0)
Imports: MIIVsem
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0), mnormt, lavaan, MPsychoR
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-02-16 00:10:28 UTC; lanluo
Author: Lan Luo [aut, cre], Kathleen Gates [aut], Kenneth A. Bollen [aut]
Repository: CRAN
Date/Publication: 2024-02-17 23:30:15 UTC

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Package mappoly updated to version 0.4.0 with previous version 0.3.3 dated 2023-01-05

Title: Genetic Linkage Maps in Autopolyploids
Description: Construction of genetic maps in autopolyploid full-sib populations. Uses pairwise recombination fraction estimation as the first source of information to sequentially position allelic variants in specific homologous chromosomes. For situations where pairwise analysis has limited power, the algorithm relies on the multilocus likelihood obtained through a hidden Markov model (HMM). For more detail, please see Mollinari and Garcia (2019) <doi:10.1534/g3.119.400378> and Mollinari et al. (2020) <doi:10.1534/g3.119.400620>.
Author: Marcelo Mollinari [aut, cre] , Gabriel Gesteira [aut] , Cristiane Taniguti [aut] , Jeekin Lau [aut] , Oscar Riera-Lizarazu [ctb] , Guilhereme Pereira [ctb] , Augusto Garcia [ctb] , Zhao-Bang Zeng [ctb] , Katharine Preedy [ctb, cph] , Robert Gentleman [...truncated...]
Maintainer: Marcelo Mollinari <mmollin@ncsu.edu>

Diff between mappoly versions 0.3.3 dated 2023-01-05 and 0.4.0 dated 2024-02-17

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More information about mappoly at CRAN
Permanent link

Package igraph updated to version 2.0.2 with previous version 2.0.1.1 dated 2024-01-30

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: Gabor Csardi [aut] , Tamas Nepusz [aut] , Vincent Traag [aut] , Szabolcs Horvat [aut] , Fabio Zanini [aut] , Daniel Noom [aut], Kirill Mueller [aut, cre] , Maelle Salmon [ctb], Michael Antonov [ctb], Chan Zuckerberg Initiative [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between igraph versions 2.0.1.1 dated 2024-01-30 and 2.0.2 dated 2024-02-17

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Package icecream updated to version 0.2.2 with previous version 0.2.1 dated 2023-09-27

Title: Print Debugging Made Sweeter
Description: Provides user-friendly and configurable print debugging via a single function, ic(). Wrap an expression in ic() to print the expression, its value and (where available) its source location. Debugging output can be toggled globally without modifying code.
Author: Lewin Appleton-Fox [aut, cre], Dominik Rafacz [aut] , Ben Stiles [ctb]
Maintainer: Lewin Appleton-Fox <lewin.a.f@gmail.com>

Diff between icecream versions 0.2.1 dated 2023-09-27 and 0.2.2 dated 2024-02-17

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 MD5                            |   10 +++++-----
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 README.md                      |   31 ++++++++++++++++---------------
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 6 files changed, 47 insertions(+), 32 deletions(-)

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New package xegaGeGene with initial version 1.0.0.0
Package: xegaGeGene
Title: Grammatical Evolution
Version: 1.0.0.0
Description: Grammatical evolution (see O'Neil, M. and Ryan, C. (2003,ISBN:1-4020-7444-1)) uses decoders to convert linear (binary or integer genes) into programs. In addition, automatic determination of codon precision with a limited rule choice bias is provided. For a recent survey of grammatical evolution, see Ryan, C., O'Neill, M., and Collins, J. J. (2018) <doi:10.1007/978-3-319-78717-6>.
License: MIT + file LICENSE
URL: <https://github.com/ageyerschulz/xegaGeGene>
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: numbers, xegaSelectGene, xegaBNF, xegaDerivationTrees
NeedsCompilation: no
Packaged: 2024-02-16 15:59:35 UTC; dj2333
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>
Repository: CRAN
Date/Publication: 2024-02-17 21:10:02 UTC

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New package teal.transform with initial version 0.5.0
Package: teal.transform
Title: Functions for Extracting and Merging Data in the 'teal' Framework
Version: 0.5.0
Date: 2024-02-16
Description: A standardized user interface for column selection, that facilitates dataset merging in 'teal' framework.
License: Apache License 2.0
URL: https://insightsengineering.github.io/teal.transform/, https://github.com/insightsengineering/teal.transform/
BugReports: https://github.com/insightsengineering/teal.transform/issues
Depends: R (>= 3.6)
Imports: checkmate (>= 2.1.0), dplyr (>= 1.1.0), lifecycle (>= 0.2.0), logger (>= 0.2.0), methods, rlang (>= 1.0.0), shiny (>= 1.6.0), shinyjs, shinyvalidate, stats, teal.data (>= 0.5.0), teal.logger (>= 0.1.1), teal.widgets (>= 0.4.0), tidyr (>= 0.8.3), tidyselect
Suggests: knitr (>= 1.42), rmarkdown (>= 2.19), teal.code (>= 0.5.0), testthat (>= 3.1.5)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-02-16 17:57:01 UTC; unardid
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut], Maciej Nasinski [aut], Konrad Pagacz [aut], Junlue Zhao [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>
Repository: CRAN
Date/Publication: 2024-02-17 21:30:02 UTC

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Package secr updated to version 4.6.5 with previous version 4.6.4 dated 2023-10-17

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] , Philipp Jund [ctb] ), David Fletcher [ctb] )
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

Diff between secr versions 4.6.4 dated 2023-10-17 and 4.6.5 dated 2024-02-17

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New package ReliabilityTheory with initial version 0.3.0
Package: ReliabilityTheory
Title: Structural Reliability Analysis
Description: Perform structural reliability analysis, including computation and simulation with system signatures, Samaniego (2007) <doi:10.1007/978-0-387-71797-5>, and survival signatures, Coolen and Coolen-Maturi (2013) <doi:10.1007/978-3-642-30662-4_8>. Additionally supports parametric and topological inference given system lifetime data, Aslett (2012) <https://www.louisaslett.com/PhD_Thesis.pdf>.
URL: https://www.louisaslett.com/, https://github.com/louisaslett/ReliabilityTheory
BugReports: https://github.com/louisaslett/ReliabilityTheory/issues
Version: 0.3.0
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>
Depends: R (>= 3.5.0)
Imports: actuar, combinat, FRACTION, igraph (>= 1.0.1), mcmc, PhaseType (>= 0.2.0), sfsmisc, utils
Suggests: testthat, reshape2, ggplot2, xtable
License: GPL-2 | GPL-3
ByteCompile: yes
LazyLoad: yes
NeedsCompilation: no
Packaged: 2024-02-16 16:50:34 UTC; louis
Author: Louis Aslett [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-02-17 21:20:02 UTC

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New package MiscMetabar with initial version 0.7.9
Package: MiscMetabar
Title: Miscellaneous Functions for Metabarcoding Analysis
Version: 0.7.9
Description: Facilitate the description, transformation, exploration, and reproducibility of metabarcoding analyses. 'MiscMetabar' is mainly built on top of the 'phyloseq', 'dada2' and 'targets' R packages. It helps to build reproducible and robust bioinformatics pipelines in R. 'MiscMetabar' makes ecological analysis of alpha and beta-diversity easier, more reproducible and more powerful by integrating a large number of tools. Important features are described in Taudière A. (2023) <doi:10.21105/joss.06038>.
License: AGPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), phyloseq, ggplot2, dada2, dplyr
Suggests: adespatial, ANCOMBC, BiocManager, Biostrings, circlize, ComplexUpset, DECIPHER, DESeq2, devtools, DT, edgeR, gghalves, ggh4x, ggstatsplot, ggridges, ggVennDiagram, gtsummary, grDevices, grid, gridExtra, here, httr, iNEXT, indicspecies, jsonlite, knitr, magrittr, metacoder, methods, mia, mixtools, multcompView, networkD3, pak, patchwork, permute, phangorn, phyloseqGraphTest, pbapply, plotly, plyr, purrr, reshape2, rmarkdown, rotl, Rtsne, scales, seqinr, SRS, stringr, SummarizedExperiment, testthat (>= 3.0.0), tibble, tidyr, treemapify, vegan, venneuler, vctrs, viridis, withr
URL: https://github.com/adrientaudiere/MiscMetabar, https://adrientaudiere.github.io/MiscMetabar/
BugReports: https://github.com/adrientaudiere/MiscMetabar/issues
Imports: ape, lifecycle, rlang, stats
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-02-16 16:28:36 UTC; adrien
Author: Adrien Taudiere [aut, cre, cph]
Maintainer: Adrien Taudiere <adrien.taudiere@zaclys.net>
Repository: CRAN
Date/Publication: 2024-02-17 21:10:16 UTC

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New package eiCircles with initial version 0.0.1-6
Package: eiCircles
Title: Ecological Inference of RxC Tables by Overdispersed-Multinomial Models
Version: 0.0.1-6
Description: Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data using the model described in Forcina et al. (2012), as extension of the model proposed in Brown and Payne (1986). Allows incorporation of covariates. References: Brown, P. and Payne, C. (1986). ''Aggregate data, ecological regression and voting transitions''. Journal of the American Statistical Association, 81, 453–460. <DOI:10.1080/01621459.1986.10478290>. Forcina, A., Gnaldi, M. and Bracalente, B. (2012). ''A revised Brown and Payne model of voting behaviour applied to the 2009 elections in Italy''. Statistical Methods & Applications, 21, 109–119. <DOI:10.1007/s10260-011-0184-x>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: stats
Suggests: ggplot2, scales
NeedsCompilation: no
Packaged: 2024-02-16 19:47:14 UTC; mariaamparo
Author: Antonio Forcina [aut] , Jose M. Pavia [aut, cre]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>
Repository: CRAN
Date/Publication: 2024-02-17 21:40:02 UTC

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Package BAT updated to version 2.9.6 with previous version 2.9.5 dated 2023-12-04

Title: Biodiversity Assessment Tools
Description: Includes algorithms to assess alpha and beta diversity in all their dimensions (taxonomic, phylogenetic and functional). It allows performing a number of analyses based on species identities/abundances, phylogenetic/functional distances, trees, convex-hulls or kernel density n-dimensional hypervolumes depicting species relationships. Cardoso et al. (2015) <doi:10.1111/2041-210X.12310>.
Author: Pedro Cardoso [aut, cre], Stefano Mammola [aut], Francois Rigal [aut], Jose Carvalho [aut]
Maintainer: Pedro Cardoso <pmcardoso@fc.ul.pt>

Diff between BAT versions 2.9.5 dated 2023-12-04 and 2.9.6 dated 2024-02-17

 DESCRIPTION        |    8 ++++----
 MD5                |    8 ++++----
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 man/optim.alpha.Rd |    3 +--
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 5 files changed, 23 insertions(+), 27 deletions(-)

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New package axisandallies with initial version 0.1.0
Package: axisandallies
Title: Axis and Allies Spring
Version: 0.1.0
Description: Simulates battles in the board game Axis and Allies Spring 1942, and calculates your probability of winning a battle. This speeds the game up significantly.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-02-16 18:33:20 UTC; thomasweaver
Author: TJ Weaver [aut, cre]
Maintainer: TJ Weaver <weaverthomasjohn@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-17 21:30:07 UTC

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Package ACNE updated to version 0.9.1 with previous version 0.9.0 dated 2023-06-25

Title: Affymetrix SNP Probe-Summarization using Non-Negative Matrix Factorization
Description: A summarization method to estimate allele-specific copy number signals for Affymetrix SNP microarrays using non-negative matrix factorization (NMF).
Author: Maria Ortiz [aut], Henrik Bengtsson [aut, cre, cph], Angel Rubio [aut]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between ACNE versions 0.9.0 dated 2023-06-25 and 0.9.1 dated 2024-02-17

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 6 files changed, 20 insertions(+), 16 deletions(-)

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New package proteomicsCV with initial version 0.1.0
Package: proteomicsCV
Title: Calculates the Percentage CV for Mass Spectrometry-Based Proteomics Data
Version: 0.1.0
Maintainer: Alejandro Brenes <alejandro.brenes@live.com>
Description: Calculates the percentage coefficient of variation (CV) for mass spectrometry-based proteomic data. Intensity based quantification is log normal, there the CV is calculated with the lognormal function. This package currently does not reference any academic publication.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2024-02-16 12:50:29 UTC; AJBrenesmurillo
Author: Alejandro Brenes [aut, cre]
Repository: CRAN
Date/Publication: 2024-02-17 21:00:02 UTC

More information about proteomicsCV at CRAN
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New package mult.latent.reg with initial version 0.1.6
Package: mult.latent.reg
Title: Regression and Clustering in Multivariate Response Scenarios
Version: 0.1.6
Description: Fitting multivariate response models with random effects on one or two levels; whereby the (one-dimensional) random effect represents a latent variable approximating the multivariate space of outcomes, after possible adjustment for covariates. The method is particularly useful for multivariate, highly correlated outcome variables with unobserved heterogeneities. Applications include regression with multivariate responses, as well as multivariate clustering or ranking problems. See Zhang and Einbeck (2024) <doi:10.1007/s42519-023-00357-0>.
License: GPL-3
Imports: mvtnorm, stats, matrixStats, utils, lme4
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-02-16 09:23:25 UTC; katiezhang
Author: Yingjuan Zhang Developer [aut, cre, cph], Jochen Einbeck Dev [aut]
Maintainer: Yingjuan Zhang Developer <yingjuan.zhang@durham.ac.uk>
Repository: CRAN
Date/Publication: 2024-02-17 21:00:04 UTC

More information about mult.latent.reg at CRAN
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New package micsr with initial version 0.1-1
Package: micsr
Version: 0.1-1
Date: 2024-02-12
Title: Microeconometrics with R
Depends: R (>= 4.0.0)
Imports: Formula, Rdpack, sandwich, generics, tibble, ggplot2, rlang, dplyr, tidyr, purrr, knitr, magrittr, tidyselect
Suggests: rmarkdown, modelsummary, bookdown, AER, censReg, sampleSelection, mlogit, MASS, lmtest
Description: Functions, data sets and examples for the book: Yves Croissant (2024) "Microeconometrics with R", Chapman and Hall/CRC The R Series. The package includes a set of estimators for models used in microeconometrics, especially for count data and limited dependent variables. Test functions include score test, Hausman test, Vuong test, Sargan test and conditional moment test. A small subset of the data set used in the book is also included.
Encoding: UTF-8
License: GPL (>= 2)
URL: https://www.r-project.org
VignetteBuilder: knitr
NeedsCompilation: yes
LazyData: true
Packaged: 2024-02-16 02:38:57 UTC; yves
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
Repository: CRAN
Date/Publication: 2024-02-17 20:50:02 UTC

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New package keras3 with initial version 0.1.0
Package: keras3
Title: R Interface to 'Keras'
Version: 0.1.0
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.
Encoding: UTF-8
License: MIT + file LICENSE
URL: https://keras.posit.co/, https://github.com/rstudio/keras
BugReports: https://github.com/rstudio/keras/issues
Depends: R (>= 4.0)
Imports: generics (>= 0.0.1), reticulate (>= 1.35), tensorflow (>= 2.15), tfruns (>= 1.5.2), magrittr, zeallot, fastmap, glue, cli, rlang
Suggests: ggplot2, testthat (>= 2.1.0), knitr, rmarkdown, callr, tfdatasets, withr, png, jsonlite, purrr, rstudioapi, R6, jpeg
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-15 20:20:52 UTC; tomasz
Author: Tomasz Kalinowski [aut, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Francois Chollet [aut, cph], Posit Software, PBC [cph, fnd], Google [cph, fnd], Yuan Tang [ctb, cph] , Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigri [...truncated...]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>
Repository: CRAN
Date/Publication: 2024-02-17 20:40:02 UTC

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New package ExactCIone with initial version 1.0.0
Package: ExactCIone
Title: Admissible Exact Intervals for One-Dimensional Discrete Distributions
Version: 1.0.0
Maintainer: Chongxiu Yu <yuchongxiu@163.com>
Description: Construct the admissible exact intervals for the binomial proportion, the Poisson mean and the total number of subjects with a certain attribute or the total number of the subjects for the hypergeometric distribution. Both one-sided and two-sided intervals are of interest. This package can be used to calculate the intervals constructed methods developed by Wang (2014) <doi:10.5705/ss.2012.257> and Wang (2015) <doi:10.1111/biom.12360>.
License: AGPL (>= 3)
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-16 09:50:48 UTC; 13832
Author: Chongxiu Yu [aut, cre], Weizhen Wang [aut], Zhongzhan Zhang [aut]
Repository: CRAN
Date/Publication: 2024-02-17 21:00:07 UTC

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New package Euronext with initial version 2.0.1
Package: Euronext
Title: Retrieve Historical Data of Companies Listed on the 'Euronext' Stock Exchange
Version: 2.0.1
Description: Provides seamless access to historical data of companies listed on the 'Euronext' Stock Exchange(<https://live.euronext.com/en>), enabling users to retrieve real-time information directly within the R environment. With functions tailored for data retrieval and manipulation, users can effortlessly access a wide range of financial data, including stock prices, trading volumes, and more. Leveraging the power of R, this package facilitates efficient analysis and visualization of stock market trends, aiding investors, analysts, and researchers in making informed decisions. By combining ease of use with comprehensive data access, 'Euronext' empowers R users to delve deep into the dynamics of European financial markets, offering valuable insights for various financial applications.
License: MIT + file LICENSE
URL: https://rpubs.com/Fredysessie/euronext
BugReports: https://github.com/Fredysessie/Euronext/issues
Encoding: UTF-8
Imports: httr, magrittr, stringr, jsonlite, rlang(>= 0.4.11), rvest, httr2, xts, dplyr, flextable, highcharter, grDevices
Suggests: lubridate
NeedsCompilation: no
Packaged: 2024-02-16 02:07:38 UTC; koffi
Author: Sessie Koffi Frederic [aut, cre, cph]
Maintainer: Sessie Koffi Frederic <koffisessie@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-17 20:50:06 UTC

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Package cvCovEst updated to version 1.2.2 with previous version 1.2.1 dated 2023-06-23

Title: Cross-Validated Covariance Matrix Estimation
Description: An efficient cross-validated approach for covariance matrix estimation, particularly useful in high-dimensional settings. This method relies upon the theory of high-dimensional loss-based covariance matrix estimator selection developed by Boileau et al. (2022) <doi:10.1080/10618600.2022.2110883> to identify the optimal estimator from among a prespecified set of candidates.
Author: Philippe Boileau [aut, cre, cph] , Nima Hejazi [aut] , Brian Collica [aut] , Jamarcus Liu [ctb], Mark van der Laan [ctb, ths] , Sandrine Dudoit [ctb, ths]
Maintainer: Philippe Boileau <philippe_boileau@berkeley.edu>

Diff between cvCovEst versions 1.2.1 dated 2023-06-23 and 1.2.2 dated 2024-02-17

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Package aroma.cn updated to version 1.7.1 with previous version 1.7.0 dated 2022-07-20

Title: Copy-Number Analysis of Large Microarray Data Sets
Description: Methods for analyzing DNA copy-number data. Specifically, this package implements the multi-source copy-number normalization (MSCN) method for normalizing copy-number data obtained on various platforms and technologies. It also implements the TumorBoost method for normalizing paired tumor-normal SNP data.
Author: Henrik Bengtsson [aut, cre, cph], Pierre Neuvial [aut]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between aroma.cn versions 1.7.0 dated 2022-07-20 and 1.7.1 dated 2024-02-17

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Package PSCBS updated to version 0.67.0 with previous version 0.66.0 dated 2021-10-23

Title: Analysis of Parent-Specific DNA Copy Numbers
Description: Segmentation of allele-specific DNA copy number data and detection of regions with abnormal copy number within each parental chromosome. Both tumor-normal paired and tumor-only analyses are supported.
Author: Henrik Bengtsson [aut, cre, cph], Pierre Neuvial [aut], Venkatraman E. Seshan [aut], Adam B. Olshen [aut], Paul T. Spellman [aut], Richard A. Olshen [aut], Frank E Harrell Jr [ctb] )
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between PSCBS versions 0.66.0 dated 2021-10-23 and 0.67.0 dated 2024-02-17

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Package R.rsp updated to version 0.46.0 with previous version 0.45.0 dated 2022-06-27

Title: Dynamic Generation of Scientific Reports
Description: The RSP markup language makes any text-based document come alive. RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'. Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries. RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things. Functions rstring() and rcat() make it easy to process RSP strings, rsource() sources an RSP file as it was an R script, while rfile() compiles it (even online) into its final output format, e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp') generates 'report.html'. RSP is ideal for self-contained scientific reports and R package vignettes. It's easy to use - if you know how to write an R [...truncated...]
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.rsp versions 0.45.0 dated 2022-06-27 and 0.46.0 dated 2024-02-17

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 R.rsp-0.46.0/R.rsp/NAMESPACE                                                               |    1 
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 R.rsp-0.46.0/R.rsp/R/RspDocument.R                                                         |    4 
 R.rsp-0.46.0/R.rsp/R/RspExpression.R                                                       |    1 
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 R.rsp-0.46.0/R.rsp/R/RspText.R                                                             |    4 
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 R.rsp-0.46.0/R.rsp/man/000-LB-.RspDocument.Rd                                              |    1 
 R.rsp-0.46.0/R.rsp/man/R.rsp-package.Rd                                                    |    5 
 R.rsp-0.46.0/R.rsp/man/RspCode.Rd                                                          |    2 
 R.rsp-0.46.0/R.rsp/man/RspCodeChunk.Rd                                                     |    2 
 R.rsp-0.46.0/R.rsp/man/RspComment.Rd                                                       |    2 
 R.rsp-0.46.0/R.rsp/man/RspConstruct.Rd                                                     |    2 
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 R.rsp-0.46.0/R.rsp/man/RspExpression.Rd                                                    |    3 
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Package modelsummary updated to version 1.4.5 with previous version 1.4.3 dated 2023-10-15

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package cata updated to version 0.1.0.2 with previous version 0.0.10.12 dated 2023-08-15

Title: Analysis of Check-All-that-Apply (CATA) Data
Description: Functions for analyzing check-all-that-apply (CATA) data from consumer and sensory tests. Cochran's Q test, McNemar's test, and Penalty-Lift analysis provided, as described in for CATA data analysis by Meyners, Castura & Carr (2013) <doi:10.1016/j.foodqual.2013.06.010>. Cluster analysis can be performed using b-cluster analysis. The quality of cluster analysis solutions can be evaluated using various measures. The methods related to b-cluster analysis are described in a manuscript by Castura, Meyners, Varela & Næs (2022) <doi:10.1016/j.foodqual.2022.104564>. Methods are adapted to product-related hedonic responses by Castura, Meyners, Pohjanheimo, Varela & Næs (2023) <doi:10.1111/joss.12860>.
Author: J.C. Castura [aut, cre, ctb]
Maintainer: J.C. Castura <jcastura@compusense.com>

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Package sm updated to version 2.2-6.0 with previous version 2.2-5.7.1 dated 2022-07-04

Title: Smoothing Methods for Nonparametric Regression and Density Estimation
Description: This is software linked to the book 'Applied Smoothing Techniques for Data Analysis - The Kernel Approach with S-Plus Illustrations' Oxford University Press.
Author: Adrian Bowman and Adelchi Azzalini. Ported to R by B. D. Ripley <ripley@stats.ox.ac.uk> up to version 2.0, version 2.1 by Adrian Bowman and Adelchi Azzalini, version 2.2 by Adrian Bowman.
Maintainer: Adrian Bowman <adrian.bowman@glasgow.ac.uk>

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Package openeo updated to version 1.3.1 with previous version 1.3.0 dated 2022-11-17

Title: Client Interface for 'openEO' Servers
Description: Access data and processing functionalities of 'openEO' compliant back-ends in R.
Author: Florian Lahn [aut, cre], Peter James Zellner [ctb], Matthias Mohr [ctb]
Maintainer: Florian Lahn <florian.lahn@eftas.com>

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Package fastText updated to version 1.0.4 with previous version 1.0.3 dated 2022-10-08

Title: Efficient Learning of Word Representations and Sentence Classification
Description: An interface to the 'fastText' <https://github.com/facebookresearch/fastText> library for efficient learning of word representations and sentence classification. The 'fastText' algorithm is explained in detail in (i) "Enriching Word Vectors with subword Information", Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov, 2017, <doi:10.1162/tacl_a_00051>; (ii) "Bag of Tricks for Efficient Text Classification", Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov, 2017, <doi:10.18653/v1/e17-2068>; (iii) "FastText.zip: Compressing text classification models", Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Herve Jegou, Tomas Mikolov, 2016, <arXiv:1612.03651>.
Author: Lampros Mouselimis [aut, cre] , Facebook Inc [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package IsoplotRgui updated to version 6.1 with previous version 6.0 dated 2023-12-21

Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre], Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package collapse updated to version 2.0.10 with previous version 2.0.9 dated 2024-01-11

Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/' [...truncated...]
Author: Sebastian Krantz [aut, cre] , Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package clusrank updated to version 1.0-4 with previous version 1.0-3 dated 2022-08-12

Title: Wilcoxon Rank Tests for Clustered Data
Description: Non-parametric tests (Wilcoxon rank sum test and Wilcoxon signed rank test) for clustered data documented in Jiang et. al (2020) <doi:10.18637/jss.v096.i06>.
Author: Wenjie Wang [cre, ctb] , Yujing Jiang [aut], Mei-Ling Ting Lee [ctb], Jun Yan [ctb]
Maintainer: Wenjie Wang <wang@wwenjie.org>

Diff between clusrank versions 1.0-3 dated 2022-08-12 and 1.0-4 dated 2024-02-17

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Package DSWE updated to version 1.8.2 with previous version 1.8.1 dated 2024-02-09

Title: Data Science for Wind Energy
Description: Data science methods used in wind energy applications. Current functionalities include creating a multi-dimensional power curve model, performing power curve function comparison, covariate matching, and energy decomposition. Relevant works for the developed functions are: funGP() - Prakash et al. (2022) <doi:10.1080/00401706.2021.1905073>, AMK() - Lee et al. (2015) <doi:10.1080/01621459.2014.977385>, tempGP() - Prakash et al. (2022) <doi:10.1080/00401706.2022.2069158>, ComparePCurve() - Ding et al. (2021) <doi:10.1016/j.renene.2021.02.136>, deltaEnergy() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, syncSize() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, imptPower() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, All other functions - Ding (2019, ISBN:9780429956508).
Author: Nitesh Kumar [aut], Abhinav Prakash [aut], Yu Ding [aut, cre], Effi Latiffianti [ctb, cph], Ahmadreza Chokhachian [ctb, cph]
Maintainer: Yu Ding <yuding2007@gmail.com>

Diff between DSWE versions 1.8.1 dated 2024-02-09 and 1.8.2 dated 2024-02-17

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Package locuszoomr updated to version 0.2.1 with previous version 0.2.0 dated 2024-01-08

Title: Gene Locus Plot with Gene Annotations
Description: Publication-ready regional gene locus plots similar to those produced by the web interface 'LocusZoom' <https://my.locuszoom.org>, but running locally in R. Genetic or genomic data with gene annotation tracks are plotted via R base graphics, 'ggplot2' or 'plotly', allowing flexibility and easy customisation including laying out multiple locus plots on the same page. It uses the 'LDlink' API <https://ldlink.nih.gov/?tab=apiaccess> to query linkage disequilibrium data from the 1000 Genomes Project and can overlay this on plots.
Author: Myles Lewis [aut, cre]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between locuszoomr versions 0.2.0 dated 2024-01-08 and 0.2.1 dated 2024-02-17

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More information about locuszoomr at CRAN
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Package treediff updated to version 0.2.1 with previous version 0.2 dated 2023-05-27

Title: Testing Differences Between Families of Trees
Description: Perform test to detect differences in structure between families of trees. The method is based on cophenetic distances and aggregated Student's tests.
Author: Nathalie Vialaneix [aut, cre] , Gwendaelle Cardenas [aut], Marie Chavent [aut], Sylvain Foissac [aut], Pierre Neuvial [aut] , Nathanael Randriamihamison [aut]
Maintainer: Nathalie Vialaneix <nathalie.vialaneix@inrae.fr>

Diff between treediff versions 0.2 dated 2023-05-27 and 0.2.1 dated 2024-02-17

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Package tinycodet updated to version 0.4.1 with previous version 0.4.0 dated 2024-01-11

Title: Functions to Help in your Coding Etiquette
Description: Adds some functions to help in your coding etiquette. 'tinycodet' primarily focuses on 4 aspects. 1) Safer decimal (in)equality testing, safer atomic conversions, and other functions for safer coding. 2) A new package import system, that attempts to combine the benefits of using a package without attaching it, with the benefits of attaching a package. 3) Extending the string manipulation capabilities of the 'stringi' R package. 4) Reducing repetitive code. Besides linking to 'Rcpp', 'tinycodet' has only one other dependency, namely 'stringi'.
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tony_a_wilkes@outlook.com>

Diff between tinycodet versions 0.4.0 dated 2024-01-11 and 0.4.1 dated 2024-02-17

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Package protti updated to version 0.7.0 with previous version 0.6.0 dated 2023-01-20

Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
Author: Jan-Philipp Quast [aut, cre] , Dina Schuster [aut] , ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>

Diff between protti versions 0.6.0 dated 2023-01-20 and 0.7.0 dated 2024-02-17

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Package jlmerclusterperm updated to version 1.1.2 with previous version 1.1.1 dated 2024-02-08

Title: Cluster-Based Permutation Analysis for Densely Sampled Time Data
Description: An implementation of fast cluster-based permutation analysis (CPA) for densely-sampled time data developed in Maris & Oostenveld, 2007 <doi:10.1016/j.jneumeth.2007.03.024>. Supports (generalized, mixed-effects) regression models for the calculation of timewise statistics. Provides both a wholesale and a piecemeal interface to the CPA procedure with an emphasis on interpretability and diagnostics. Integrates 'Julia' libraries 'MixedModels.jl' and 'GLM.jl' for performance improvements, with additional functionalities for interfacing with 'Julia' from 'R' powered by the 'JuliaConnectoR' package.
Author: June Choe [aut, cre, cph]
Maintainer: June Choe <jchoe001@gmail.com>

Diff between jlmerclusterperm versions 1.1.1 dated 2024-02-08 and 1.1.2 dated 2024-02-17

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More information about jlmerclusterperm at CRAN
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Package PAGFL updated to version 1.0.1 with previous version 1.0.0 dated 2024-02-16

Title: Joint Estimation and Identification of Latent Groups in Panel Data Models
Description: In panel data analysis, unobservable group structures are a common challenge. Disregarding group-level heterogeneity by assuming an entirely homogeneous panel can introduce bias. Conversely, estimating individual coefficients for each cross-sectional unit is inefficient and may lead to high uncertainty. This package addresses this issue by implementing the pairwise adaptive group fused Lasso (PAGFL) by Mehrabani (2023) <doi:10.1016/j.jeconom.2022.12.002>. PAGFL is an efficient methodology to identify latent group structures and estimate group-specific coefficients simultaneously.
Author: Paul Haimerl [aut, cre] , Ali Mehrabani [ctb]
Maintainer: Paul Haimerl <paul.haimerl@maastrichtuniversity.nl>

Diff between PAGFL versions 1.0.0 dated 2024-02-16 and 1.0.1 dated 2024-02-17

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Permanent link

New package lm.br with initial version 2.9.7
Package: lm.br
Title: Linear Model with Breakpoint
Version: 2.9.7
Date: 2024-02-12
Copyright: 'lm.br' uses the design and some R-code of 'lm' copyright (C) 2015 The R Foundation for Statistical Computing, and of 'lm.gls' copyright (C) 1994-2005 W. N. Venables and B. D. Ripley.
Description: Exact significance tests for a changepoint in linear or multiple linear regression. Confidence regions with exact coverage probabilities for the changepoint. Based on Knowles, Siegmund and Zhang (1991) <doi:10.1093/biomet/78.1.15>.
License: GPL (>= 2)
Depends: R(>= 3.0.1), Rcpp (>= 0.11.0)
Imports: stats, methods, graphics, datasets
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-02-13 15:18:01 UTC; marc
Author: Marc Adams [aut, cre], authors of R function 'lm' [ctb] , authors of 'lm.gls' [ctb] , U.S. NIST [ctb]
Maintainer: Marc Adams <lm.br.pkg@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-17 11:10:02 UTC

More information about lm.br at CRAN
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Package rumidas updated to version 0.1.2 with previous version 0.1.1 dated 2021-02-01

Title: Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and MEM-MIDAS
Description: Adds the MIxing-Data Sampling (MIDAS, Ghysels et al. (2007) <doi:10.1080/07474930600972467>) components to a variety of GARCH and MEM (Engle (2002) <doi:10.1002/jae.683>, Engle and Gallo (2006) <doi:10.1016/j.jeconom.2005.01.018>, and Amendola et al. (2024) <doi:10.1016/j.seps.2023.101764>) models, with the aim of predicting the volatility with additional low-frequency (that is, MIDAS) terms. The estimation takes place through simple functions, which provide in-sample and (if present) and out-of-sample evaluations. 'rumidas' also offers a summary tool, which synthesizes the main information of the estimated model. There is also the possibility of generating one-step-ahead and multi-step-ahead forecasts.
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <vcandila@unisa.it>

Diff between rumidas versions 0.1.1 dated 2021-02-01 and 0.1.2 dated 2024-02-17

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Package melt updated to version 1.11.0 with previous version 1.10.0 dated 2023-05-23

Title: Multiple Empirical Likelihood Tests
Description: Performs multiple empirical likelihood tests. It offers an easy-to-use interface and flexibility in specifying hypotheses and calibration methods, extending the framework to simultaneous inferences. The core computational routines are implemented using the 'Eigen' 'C++' library and 'RcppEigen' interface, with 'OpenMP' for parallel computation. Details of the testing procedures are provided in Kim, MacEachern, and Peruggia (2023) <doi:10.1080/10485252.2023.2206919>. A companion paper by Kim, MacEachern, and Peruggia (2024) <doi:10.18637/jss.v108.i05> is available for further information. This work was supported by the U.S. National Science Foundation under Grants No. SES-1921523 and DMS-2015552.
Author: Eunseop Kim [aut, cph, cre], Steven MacEachern [ctb, ths], Mario Peruggia [ctb, ths], Pierre Chausse [rev], Alex Stringer [rev]
Maintainer: Eunseop Kim <markean@pm.me>

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Package markets updated to version 1.1.5 with previous version 1.1.4 dated 2023-01-05

Title: Estimation Methods for Markets in Equilibrium and Disequilibrium
Description: Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. Also provides post-estimation analysis tools, such as aggregation, marginal effect, and shortage calculations. See Karapanagiotis (2024) <doi:10.18637/jss.v108.i02> for an overview of the functionality and examples. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard errors can be estimated by adjusting for heteroscedasticity or clustering. The equilibrium estimation constitutes a case of a system of linear, simultaneous equations. Instead, the disequilibrium models replace the market-clearing condition with a non-linear, short-side rule and allow for differ [...truncated...]
Author: Pantelis Karapanagiotis [aut, cre]
Maintainer: Pantelis Karapanagiotis <pikappa.devel@gmail.com>

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Package autoFC updated to version 0.2.0.1001 with previous version 0.1.2 dated 2021-06-07

Title: Automatic Construction of Forced-Choice Tests
Description: Forced-choice (FC) response has gained increasing popularity and interest for its resistance to faking when well-designed (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>). To established well-designed FC scales, typically each item within a block should measure different trait and have similar level of social desirability (Zhang et al., 2020 <doi:10.1177/1094428119836486>). Recent study also suggests the importance of high inter-item agreement of social desirability between items within a block (Pavlov et al., 2021 <doi:10.31234/osf.io/hmnrc>). In addition to this, FC developers may also need to maximize factor loading differences (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) or minimize item location differences (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>) depending on scoring models. Decision of which items should be assigned to the same block, termed item pairing, is thus critical to the quality of an FC test. This pairing p [...truncated...]
Author: Mengtong Li [cre, aut] , Tianjun Sun [aut] , Bo Zhang [aut]
Maintainer: Mengtong Li <ml70@illinois.edu>

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Package performance updated to version 0.10.9 with previous version 0.10.8 dated 2023-10-30

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package readNSx updated to version 0.0.3 with previous version 0.0.2 dated 2023-06-21

Title: Read 'Blackrock-Microsystems' Files ('NEV', 'NSx')
Description: Loads 'Blackrock' <https://blackrockneurotech.com> neural signal data files into the memory, provides utility tools to extract the data into common formats such as plain-text 'tsv' and 'HDF5'.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package jstable updated to version 1.1.6 with previous version 1.1.5 dated 2024-02-02

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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 DESCRIPTION           |    8 ++++----
 MD5                   |   10 +++++-----
 NEWS.md               |    4 ++++
 R/forestcox.R         |   39 +++++++++++++++++----------------------
 R/forestglm.R         |   10 +++++++---
 inst/doc/jstable.html |   30 +++++++++++++++---------------
 6 files changed, 52 insertions(+), 49 deletions(-)

More information about jstable at CRAN
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