Mon, 10 Mar 2025

Package versioning updated to version 0.2.0 with previous version 0.1.0 dated 2023-11-09

Title: Settings and File I/O using a Configuration YAML File
Description: R data pipelines commonly require reading and writing data to versioned directories. Each directory might correspond to one step of a multi-step process, where that version corresponds to particular settings for that step and a chain of previous steps that each have their own versions. This package creates a configuration object that makes it easy to read and write versioned data, based on YAML configuration files loaded and saved to each versioned folder.
Author: Nathaniel Henry [aut, cre]
Maintainer: Nathaniel Henry <nat@henryspatialanalysis.com>

Diff between versioning versions 0.1.0 dated 2023-11-09 and 0.2.0 dated 2025-03-10

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More information about versioning at CRAN
Permanent link

Package ggblanket updated to version 12.2.0 with previous version 12.1.0 dated 2025-01-27

Title: Simplify 'ggplot2' Visualisation
Description: Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between ggblanket versions 12.1.0 dated 2025-01-27 and 12.2.0 dated 2025-03-10

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Permanent link

Package stpphawkes updated to version 0.2.2 with previous version 0.2.1 dated 2023-08-15

Title: Missing Data for Marked Hawkes Process
Description: Estimation of model parameters for marked Hawkes process. Accounts for missing data in the estimation of the parameters. Technical details found in (Tucker et al., 2019 <DOI:10.1016/j.spasta.2018.12.004>).
Author: J. Derek Tucker [aut, cre], Lyndsay Shand [aut], Stephen Rowe [aut], John Lewis [aut]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

Diff between stpphawkes versions 0.2.1 dated 2023-08-15 and 0.2.2 dated 2025-03-10

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More information about stpphawkes at CRAN
Permanent link

Package grafify updated to version 5.0.0.1 with previous version 5.0.0 dated 2025-03-09

Title: Easy Graphs for Data Visualisation and Linear Models for ANOVA
Description: Easily explore data by plotting graphs with a few lines of code. Use these ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers, violins or SD error bars, data distributions, before-after graphs, factorial ANOVA and more. Customise graphs in many ways, for example, by choosing from colour blind-friendly palettes (12 discreet, 3 continuous and 2 divergent palettes). Use the simple code for ANOVA as ordinary (lm()) or mixed-effects linear models (lmer()), including randomised-block or repeated-measures designs, and fit non-linear outcomes as a generalised additive model (gam) using mgcv(). Obtain estimated marginal means and perform post-hoc comparisons on fitted models (via emmeans()). Also includes small datasets for practising code and teaching basics before users move on to more complex designs. See vignettes for details on usage <https://grafify.shenoylab.com/>. Citation: <doi:10.5281/zenodo.5136508>.
Author: Avinash R Shenoy [cre, aut]
Maintainer: Avinash R Shenoy <a.shenoy@imperial.ac.uk>

Diff between grafify versions 5.0.0 dated 2025-03-09 and 5.0.0.1 dated 2025-03-10

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Permanent link

Package alpha.correction.bh updated to version 0.0.2 with previous version 0.0.1 dated 2023-04-26

Title: Benjamini-Hochberg Alpha Correction
Description: Provides the alpha-adjustment correction from "Benjamini, Y., & Hochberg, Y. (1995) <doi:10.1111/j.2517-6161.1995.tb02031.x> Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal statistical society: series B (Methodological), 57(1), 289-300". For researchers interested in using the exact mathematical formulas and procedures as used in the original paper.
Author: Michael Mogessie [aut, cre]
Maintainer: Michael Mogessie <mogessie@upenn.edu>

Diff between alpha.correction.bh versions 0.0.1 dated 2023-04-26 and 0.0.2 dated 2025-03-10

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More information about alpha.correction.bh at CRAN
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Package rbiom updated to version 2.1.1 with previous version 2.0.13 dated 2025-01-24

Title: Read/Write, Analyze, and Visualize 'BIOM' Data
Description: A toolkit for working with Biological Observation Matrix ('BIOM') files. Read/write all 'BIOM' formats. Compute rarefaction, alpha diversity, and beta diversity (including 'UniFrac'). Summarize counts by taxonomic level. Subset based on metadata. Generate visualizations and statistical analyses. CPU intensive operations are coded in C for speed.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

Diff between rbiom versions 2.0.13 dated 2025-01-24 and 2.1.1 dated 2025-03-10

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 36 files changed, 591 insertions(+), 221 deletions(-)

More information about rbiom at CRAN
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Package radiant.multivariate updated to version 1.6.7 with previous version 1.6.6 dated 2024-05-19

Title: Multivariate Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Multivariate menu includes interfaces for perceptual mapping, factor analysis, cluster analysis, and conjoint analysis. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.multivariate versions 1.6.6 dated 2024-05-19 and 1.6.7 dated 2025-03-10

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More information about radiant.multivariate at CRAN
Permanent link

Package sparsevctrs updated to version 0.3.0 with previous version 0.2.0 dated 2025-01-22

Title: Sparse Vectors for Use in Data Frames
Description: Provides sparse vectors powered by ALTREP (Alternative Representations for R Objects) that behave like regular vectors, and can thus be used in data frames. Also provides tools to convert between sparse matrices and data frames with sparse columns and functions to interact with sparse vectors.
Author: Emil Hvitfeldt [aut, cre] , Davis Vaughan [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between sparsevctrs versions 0.2.0 dated 2025-01-22 and 0.3.0 dated 2025-03-10

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More information about sparsevctrs at CRAN
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Package nestedcv updated to version 0.8.0 with previous version 0.7.12 dated 2024-11-27

Title: Nested Cross-Validation with 'glmnet' and 'caret'
Description: Implements nested k*l-fold cross-validation for lasso and elastic-net regularised linear models via the 'glmnet' package and other machine learning models via the 'caret' package <doi:10.1093/bioadv/vbad048>. Cross-validation of 'glmnet' alpha mixing parameter and embedded fast filter functions for feature selection are provided. Described as double cross-validation by Stone (1977) <doi:10.1111/j.2517-6161.1977.tb01603.x>. Also implemented is a method using outer CV to measure unbiased model performance metrics when fitting Bayesian linear and logistic regression shrinkage models using the horseshoe prior over parameters to encourage a sparse model as described by Piironen & Vehtari (2017) <doi:10.1214/17-EJS1337SI>.
Author: Myles Lewis [aut, cre] , Athina Spiliopoulou [aut] , Cankut Cubuk [ctb] , Katriona Goldmann [ctb] , Ryan C. Thompson [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between nestedcv versions 0.7.12 dated 2024-11-27 and 0.8.0 dated 2025-03-10

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More information about nestedcv at CRAN
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Package misty updated to version 0.7.1 with previous version 0.7.0 dated 2025-02-02

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for (1) data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statistical analysis (e.g., bootstrap confidence intervals, collinearity and res [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

Diff between misty versions 0.7.0 dated 2025-02-02 and 0.7.1 dated 2025-03-10

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More information about misty at CRAN
Permanent link

New package tabtibble with initial version 0.0.1
Package: tabtibble
Title: Simplify Reporting Many Tables
Version: 0.0.1
Description: Simplify reporting many tables by creating tibbles of tables. With 'tabtibble', a tibble of tables is created with captions and automatic printing using 'knit_print()'.
License: GPL (>= 3)
Encoding: UTF-8
Imports: knitr, vctrs
Suggests: dplyr, glue, pander, rmarkdown, spelling, testthat (>= 3.0.0), tibble, tidyr
URL: https://github.com/humanpred/tabtibble, https://humanpred.github.io/tabtibble/
BugReports: https://github.com/humanpred/tabtibble/issues
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-09 14:29:47 UTC; bill
Author: Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Repository: CRAN
Date/Publication: 2025-03-10 16:50:02 UTC

More information about tabtibble at CRAN
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New package retistruct with initial version 0.8.0
Package: retistruct
License: CC BY-NC-SA 4.0
Title: Retinal Reconstruction Program
Description: Reconstructs retinae by morphing a flat surface with cuts (a dissected flat-mount retina) onto a curvilinear surface (the standard retinal shape). It can estimate the position of a point on the intact adult retina to within 8 degrees of arc (3.6% of nasotemporal axis). The coordinates in reconstructed retinae can be transformed to visuotopic coordinates. For more details see Sterratt, D. C., Lyngholm, D., Willshaw, D. J. and Thompson, I. D. (2013) <doi:10.1371/journal.pcbi.1002921>.
Version: 0.8.0
URL: http://davidcsterratt.github.io/retistruct/
BugReports: https://github.com/davidcsterratt/retistruct/issues
Date: 2025-03-07
Depends: R (>= 3.5.0)
Imports: foreign, RImageJROI, png, ttutils, sp, geometry (>= 0.4.3), RTriangle (>= 1.6-0.9), rgl, R.matlab, R6, tiff, shiny, shinyjs, shinyFiles, bslib, fs
Suggests: spelling, testthat
Language: en-GB
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-03-07 23:13:14 UTC; dcs
Author: David C. Sterratt [aut, cre, cph], Daniel Lyngholm [aut, cph], Jan Okul [aut, cph]
Maintainer: David C. Sterratt <david.c.sterratt@ed.ac.uk>
Repository: CRAN
Date/Publication: 2025-03-10 16:20:02 UTC

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Package modelbased updated to version 0.10.0 with previous version 0.9.0 dated 2025-02-05

Title: Estimation of Model-Based Predictions, Contrasts and Means
Description: Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Remi Theriault [aut]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between modelbased versions 0.9.0 dated 2025-02-05 and 0.10.0 dated 2025-03-10

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More information about modelbased at CRAN
Permanent link

New package MicrobialGrowth with initial version 1.0.0
Package: MicrobialGrowth
Title: Estimates Growth Parameters from Models and Plots the Curve
Version: 1.0.0
Maintainer: Florentin L'Homme <florentin.lhomme@gmail.com>
Description: Fit growth curves to various known microbial growth models automatically to estimate growth parameters. Growth curves can be plotted with their uncertainty band. Growth models are: modified Gompertz model (Zwietering et al. (1990) <doi:10.1128/aem.56.6.1875-1881.1990>), Baranyi model (Baranyi and Roberts (1994) <doi:10.1016/0168-1605%2894%2990157-0>), Rosso model (Rosso et al. (1993) <doi:10.1006/jtbi.1993.1099>) and linear model (Dantigny (2005) <doi:10.1016/j.ijfoodmicro.2004.10.013>).
License: GPL (>= 3)
Encoding: UTF-8
Imports: graphics, grDevices, methods, nlstools, stats, utils
Depends: R (>= 3.5.0)
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-08 21:08:17 UTC; florentin
Author: Florentin L'Homme [aut, cre] , Clarisse Breard [aut]
Repository: CRAN
Date/Publication: 2025-03-10 16:40:08 UTC

More information about MicrobialGrowth at CRAN
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New package LGCU with initial version 0.1.2
Package: LGCU
Title: Implementation of Learning Gamma CUSUM (Cumulative Sum) Control Charts
Version: 0.1.2
Description: Description: Implements Cumulative Sum (CUSUM) control charts specifically designed for monitoring processes following a Gamma distribution. Provides functions to estimate distribution parameters, simulate control limits, and apply cautious learning schemes for adaptive thresholding. It supports upward and downward monitoring with guaranteed performance evaluated via Monte Carlo simulations. It is useful for quality control applications in industries where data follows a Gamma distribution. Methods are based on Madrid-Alvarez et al. (2024) <doi:10.1002/qre.3464> and Madrid-Alvarez et al. (2024) <doi:10.1080/08982112.2024.2440368>.
Depends: R (>= 4.0.0)
Imports: MASS, Rcpp, tictoc
LinkingTo: Rcpp
License: GPL-3
Encoding: UTF-8
URL: https://github.com/ingharold-madrid/LGCU
BugReports: https://github.com/ingharold-madrid/LGCU/issues
NeedsCompilation: yes
Packaged: 2025-03-08 03:18:11 UTC; har10
Author: Harold Manuel Madrid-Alvarez [aut, cre]
Maintainer: Harold Manuel Madrid-Alvarez <harold.madrid@unisimon.edu.co>
Repository: CRAN
Date/Publication: 2025-03-10 16:20:07 UTC

More information about LGCU at CRAN
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Package iAR updated to version 1.3.0 with previous version 1.2.0 dated 2022-11-24

Title: Irregularly Observed Autoregressive Models
Description: Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) <doi:10.1093/mnras/stab1216>).
Author: Elorrieta Felipe [aut, cre], Ojeda Cesar [aut], Eyheramendy Susana [aut], Palma Wilfredo [aut]
Maintainer: Elorrieta Felipe <felipe.elorrieta@usach.cl>

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New package equatiomatic with initial version 0.3.6
Package: equatiomatic
Title: Transform Models into 'LaTeX' Equations
Version: 0.3.6
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>
Description: The goal of 'equatiomatic' is to reduce the pain associated with writing 'LaTeX' formulas from fitted models. The primary function of the package, extract_eq(), takes a fitted model object as its input and returns the corresponding 'LaTeX' code for the model.
License: CC BY 4.0
Depends: R (>= 3.3.0)
URL: https://github.com/datalorax/equatiomatic, https://datalorax.github.io/equatiomatic/
BugReports: https://github.com/datalorax/equatiomatic/issues
Imports: broom (>= 0.7.0), broom.mixed, shiny, knitr, stats, utils
Suggests: covr, shinyWidgets, forecast (>= 8.13), ggplot2 (>= 3.3.3), latex2exp (>= 0.4.0), lme4, MASS, ordinal, rmarkdown, testthat (>= 3.0.0), texPreview (>= 2.0.0), gtsummary, spelling
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-09 14:39:32 UTC; phgrosjean
Author: Daniel Anderson [aut] , Andrew Heiss [aut] , Jay Sumners [aut], Joshua Rosenberg [ctb] , Jonathan Sidi [ctb] , Ellis Hughes [ctb] , Thomas Fung [ctb] , Reza Norouzian [ctb] , Indrajeet Patil [ctb] , Quinn White [ctb] , David Kane [ctb], Philippe Gros [...truncated...]
Repository: CRAN
Date/Publication: 2025-03-10 16:50:09 UTC

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New package CNVreg with initial version 1.0
Package: CNVreg
Title: CNV-Profile Regression for Copy Number Variants Association Analysis with Penalized Regression
Version: 1.0
Description: Performs copy number variants association analysis with Lasso and Weighted Fusion penalized regression. Creates a "CNV profile curve" to represent an individual’s CNV events across a genomic region so to capture variations in CNV length and dosage. When evaluating association, the CNV profile curve is directly used as a predictor in the regression model, avoiding the need to predefine CNV loci. CNV profile regression estimates CNV effects at each genome position, making the results comparable across different studies. The penalization encourages sparsity in variable selection with a Lasso penalty and encourages effect smoothness between consecutive CNV events with a weighted fusion penalty, where the weight controls the level of smoothing between adjacent CNVs. For more details, see Si (2024) <doi:10.1101/2024.11.23.624994>.
License: GPL-3
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
Imports: stats, Matrix, doParallel, dplyr, foreach, glmnet, tidyr
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
Suggests: rmarkdown, knitr, rlang, tidyverse, markdown, kableExtra, patchwork, ggplot2, withr
Author: Yaqin Si [aut], Shannon T. Holloway [ctb, cre], Jung-Ying Tzeng [ctb]
Maintainer: Shannon T. Holloway <shannon.t.holloway@gmail.com>
Packaged: 2025-03-09 16:07:45 UTC; sth45
Repository: CRAN
Date/Publication: 2025-03-10 16:50:21 UTC

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New package clayringsmiletus with initial version 1.0.2
Package: clayringsmiletus
Title: Clay Stacking Rings Found in Miletus (Data)
Version: 1.0.2
Maintainer: Lisa Steinmann <lisa.steinmann@rub.de>
Description: Stacking rings are tools used to stack pottery in a Kiln. A relatively large group of stacking rings was found in the area of the sanctuary of Dionysos in Miletus in the 1970s. Measurements and additional info is gathered in this package and made available for use by other researchers. The data along with its archaeological context and analysis has been published in "Archäologischer Anzeiger" (2020/1, <doi:10.34780/aa.v0i1.1014>).
License: CC BY 4.0
URL: https://github.com/lsteinmann/clayringsmiletus
BugReports: https://github.com/lsteinmann/clayringsmiletus/issues
Depends: R (>= 2.10)
Suggests: cluster, dbscan, dplyr, ggplot2, ggridges, gridExtra, kableExtra, knitr, reshape2, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-08 13:39:47 UTC; Lisa Steinmann
Author: Lisa Steinmann [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-03-10 16:30:02 UTC

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New package brandr with initial version 0.1.0
Package: brandr
Title: Brand Identity Management Using brand.yml Standard
Version: 0.1.0
Description: A system to facilitate brand identity management using the brand.yml standard, providing functions to consistently access and apply brand colors, typography, and other visual elements across your R projects.
License: MIT + file LICENSE
URL: https://danielvartan.github.io/brandr/, https://github.com/danielvartan/brandr/
BugReports: https://github.com/danielvartan/brandr/issues/
Depends: R (>= 4.3)
Imports: checkmate (>= 2.3.2), cli (>= 3.6.3), colorspace (>= 2.1.1), dplyr (>= 1.1.4), here (>= 1.0.1), lifecycle (>= 1.0.4), ggplot2 (>= 3.5.1), grDevices (>= 4.3.0), yaml (>= 2.3.10)
Suggests: bslib (>= 0.9.0), covr (>= 3.6.4), hexbin (>= 1.28.5), knitr (>= 1.49), magrittr (>= 2.0.3), palmerpenguins (>= 0.1.1), rmarkdown (>= 2.29), spelling (>= 2.3.1), testthat (>= 3.2.2), tidyr (>= 1.3.1)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-09 04:08:10 UTC; danielvartan
Author: Daniel Vartanian [aut, cre, ccp, cph]
Maintainer: Daniel Vartanian <danvartan@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 16:50:13 UTC

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New package apm with initial version 0.1.0
Package: apm
Title: Averaged Prediction Models
Version: 0.1.0
Description: In panel data settings, specifies set of candidate models, fits them to data from pre-treatment validation periods, and selects model as average over candidate models, weighting each by posterior probability of being most robust given its differential average prediction errors in pre-treatment validation periods. Subsequent estimation and inference of causal effect's bounds accounts for both model and sampling uncertainty, and calculates the robustness changepoint value at which bounds go from excluding to including 0. The package also includes a range of diagnostic plots, such as those illustrating models' differential average prediction errors and the posterior distribution of which model is most robust.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: stats, ggplot2 (>= 3.5.1), ggh4x (>= 0.2.8), ggrepel (>= 0.9.6), MASS, sandwich, pbapply (>= 1.7-2), fwb (>= 0.3.0), chk (>= 0.10.0)
Suggests: parallel, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/tl2624/apm, https://tl2624.github.io/apm/
BugReports: https://github.com/tl2624/apm/issues
NeedsCompilation: no
Packaged: 2025-03-09 03:17:30 UTC; ThomasLeavitt
Author: Thomas Leavitt [aut, cre] , Laura Hatfield [aut] , Noah Greifer [aut]
Maintainer: Thomas Leavitt <thomas.leavitt@baruch.cuny.edu>
Repository: CRAN
Date/Publication: 2025-03-10 16:50:17 UTC

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Package TreatmentPatterns updated to version 3.0.1 with previous version 3.0.0 dated 2025-02-06

Title: Analyzes Real-World Treatment Patterns of a Study Population of Interest
Description: Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.
Author: Aniek Markus [aut] , Maarten van Kessel [cre]
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>

Diff between TreatmentPatterns versions 3.0.0 dated 2025-02-06 and 3.0.1 dated 2025-03-10

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Package RFplus updated to version 1.4-0 with previous version 1.3-0 dated 2025-02-24

Title: Machine Learning for Merging Satellite and Ground Precipitation Data
Description: A machine learning algorithm that merges satellite and ground precipitation data using Random Forest for spatial prediction, residual modeling for bias correction, and quantile mapping for adjustment, ensuring accurate estimates across temporal scales and regions.
Author: Jonnathan Augusto Landi Bermeo [aut, cre, cph] , Alex Aviles [aut] , Dario Zhina [aut] , Marco Mogro [aut] , Anthony Guaman [aut]
Maintainer: Jonnathan Augusto Landi Bermeo <jonnathan.landi@outlook.com>

Diff between RFplus versions 1.3-0 dated 2025-02-24 and 1.4-0 dated 2025-03-10

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New package rFIA with initial version 1.1.1
Package: rFIA
Title: Estimation of Forest Variables using the FIA Database
Version: 1.1.1
Author: Jeffrey Doser [aut, cre], Hunter Stanke [aut], Andrew Finley [aut]
Maintainer: Jeffrey Doser <jwdoser@ncsu.edu>
Description: The goal of 'rFIA' is to increase the accessibility and use of the United States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database by providing a user-friendly, open source toolkit to easily query and analyze FIA Data. Designed to accommodate a wide range of potential user objectives, 'rFIA' simplifies the estimation of forest variables from the FIA Database and allows all R users (experts and newcomers alike) to unlock the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA' improves accessibility to the spatial-temporal estimation capacity of the FIA Database by producing space-time indexed summaries of forest variables within user-defined population boundaries. Direct integration with other popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient space-time query and data summary, and supports common data representations and API design. The package implements design-based estimation procedures outlined by Bechtold & Patterson [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), dtplyr (>= 1.0.0), tidyr (>= 1.0.0), stringr, sf, parallel, methods, data.table, bit64, tidyselect (>= 1.0.0), rlang, ggplot2
Suggests: knitr, rmarkdown, gganimate, R2jags, coda, testthat
URL: https://github.com/doserjef/rFIA, https://www.doserlab.com/files/rFIA
BugReports: https://github.com/doserjef/rFIA/issues
NeedsCompilation: no
Packaged: 2025-03-07 20:00:17 UTC; jeff
Repository: CRAN
Date/Publication: 2025-03-10 15:20:02 UTC

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Package pda updated to version 1.2.8 with previous version 1.2.7 dated 2024-03-04

Title: Privacy-Preserving Distributed Algorithms
Description: A collection of privacy-preserving distributed algorithms for conducting multi-site data analyses. The regression analyses can be linear regression for continuous outcome, logistic regression for binary outcome, Cox proportional hazard regression for time-to event outcome, Poisson regression for count outcome, or multi-categorical regression for nominal or ordinal outcome. The PDA algorithm runs on a lead site and only requires summary statistics from collaborating sites, with one or few iterations. The package can be used together with the online system (<https://pda-ota.pdamethods.org/>) for safe and convenient collaboration. For more information, please visit our software websites: <https://github.com/Penncil/pda>, and <https://pdamethods.org/>.
Author: Chongliang Luo [aut], Rui Duan [aut], Mackenzie Edmondson [aut], Jiayi Tong [aut], Xiaokang Liu [aut], Kenneth Locke [aut], Yiwen Lu [cre], Yong Chen [aut], Penn Computing Inference Learning lab [cph]
Maintainer: Yiwen Lu <yiwenlu@sas.upenn.edu>

Diff between pda versions 1.2.7 dated 2024-03-04 and 1.2.8 dated 2025-03-10

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New package DRclass with initial version 0.1.0
Package: DRclass
Title: Consider Ambiguity in Probabilistic Descriptions Using Density Ratio Classes
Version: 0.1.0
Description: Consider ambiguity in probabilistic descriptions by replacing a parametric probabilistic description of uncertainty by a non-parametric set of probability distributions in the form of a Density Ratio Class. This is of particular interest in Bayesian inference. The Density Ratio Class is particularly suited for this purpose as it is invariant under Bayesian inference, marginalization, and propagation through a deterministic model. Here, invariant means that the result of the operation applied to a Density Ratio Class is again a Density Ratio Class. In particular the invariance under Bayesian inference thus enables iterative learning within the same framework of Density Ratio Classes. The use of imprecise probabilities in general, and Density Ratio Classes in particular, lead to intervals of characteristics of probability distributions, such as cumulative distribution functions, quantiles, and means. The package is based on a sample of the distribution proportional to the upper bound of [...truncated...]
License: GPL-3
Depends: stats
URL: https://gitlab.com/p.reichert/DRclass
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-07 21:23:06 UTC; peter
Author: Peter Reichert [aut, cre], Ambuj Sriwastava [aut]
Maintainer: Peter Reichert <peter.reichert@emeriti.eawag.ch>
Repository: CRAN
Date/Publication: 2025-03-10 15:20:07 UTC

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New package samesies with initial version 0.1.0
Package: samesies
Title: Compare Similarity Across Text, Factors, or Numbers
Version: 0.1.0
Description: Compare lists of texts, factors, or numerical values to measure their similarity. The motivating use case is evaluating the similarity of large language model responses across models, providers, or prompts. Approximate string matching is implemented using 'stringdist'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, ggbeeswarm, ggplot2, purrr, scales, stats, stringdist
Suggests: testthat (>= 3.0.0), devtools
URL: https://dylanpieper.github.io/samesies/
NeedsCompilation: no
Packaged: 2025-03-07 16:24:03 UTC; dylanpieper
Author: Dylan Pieper [aut, cre]
Maintainer: Dylan Pieper <dylanpieper@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 14:50:02 UTC

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Package Rilostat updated to version 2.3.1 with previous version 2.2.0 dated 2024-09-03

Title: ILO Open Data via Ilostat Bulk Download Facility
Description: Tools to download data from the [ilostat](<https://ilostat.ilo.org>) database together with search and manipulation utilities.
Author: David Bescond [aut, cre] , Mabelin Villarreal-Fuentes [ctb] , ILO Department of Statistics [cph, fnd]
Maintainer: David Bescond <bescond@ilo.org>

Diff between Rilostat versions 2.2.0 dated 2024-09-03 and 2.3.1 dated 2025-03-10

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Package REDCapCAST updated to version 25.3.2 with previous version 25.3.1 dated 2025-03-05

Title: REDCap Metadata Casting and Castellated Data Handling
Description: Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in 'REDCap'. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. '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> [...truncated...]
Author: Andreas Gammelgaard Damsbo [aut, cre] , Paul Egeler [aut]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>

Diff between REDCapCAST versions 25.3.1 dated 2025-03-05 and 25.3.2 dated 2025-03-10

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Package laminr updated to version 1.0.0 with previous version 0.4.1 dated 2025-01-27

Title: Client for 'LaminDB'
Description: Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for biology. This package allows you to query and download data from 'LaminDB' instances.
Author: Robrecht Cannoodt [aut, cre] , Luke Zappia [aut] , Data Intuitive [aut], Lamin Labs [aut, cph]
Maintainer: Robrecht Cannoodt <robrecht@data-intuitive.com>

Diff between laminr versions 0.4.1 dated 2025-01-27 and 1.0.0 dated 2025-03-10

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New package lavaan.mi with initial version 0.1-0
Encoding: UTF-8
Package: lavaan.mi
Version: 0.1-0
Title: Fit Structural Equation Models to Multiply Imputed Data
Description: The primary purpose of 'lavaan.mi' is to extend the functionality of the R package 'lavaan', which implements structural equation modeling (SEM). When incomplete data have been multiply imputed, the imputed data sets can be analyzed by 'lavaan' using complete-data estimation methods, but results must be pooled across imputations (Rubin, 1987, <doi:10.1002/9780470316696>). The 'lavaan.mi' package automates the pooling of point and standard-error estimates, as well as a variety of test statistics, using a familiar interface that allows users to fit an SEM to multiple imputations as they would to a single data set using the 'lavaan' package.
Depends: R(>= 4.0), lavaan(>= 0.6-18), methods
Imports: stats, utils
Suggests: Amelia, MASS, mice, parallel, testthat
License: GPL (>= 2)
LazyData: yes
LazyLoad: yes
URL: https://github.com/TDJorgensen/lavaan.mi
BugReports: https://github.com/TDJorgensen/lavaan.mi/issues
Date: 2025-03-07
NeedsCompilation: no
Packaged: 2025-03-07 11:54:30 UTC; terrence
Author: Terrence D. Jorgensen [aut, cre] , Yves Rosseel [ctb]
Maintainer: Terrence D. Jorgensen <TJorgensen314@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 14:30:02 UTC

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New package jamba with initial version 1.0.2
Package: jamba
Title: Just Analysis Methods Base
Version: 1.0.2
Description: Just analysis methods ('jam') base functions focused on bioinformatics. Version- and gene-centric alphanumeric sort, unique name and version assignment, colorized console and 'HTML' output, color ramp and palette manipulation, 'Rmarkdown' cache import, styled 'Excel' worksheet import and export, interpolated raster output from smooth scatter and image plots, list to delimited vector, efficient list tools.
Depends: R (>= 3.0.0)
Imports: methods, grDevices, graphics, stats, utils, colorspace, RColorBrewer, KernSmooth, withr
Suggests: crayon, farver, knitr, rmarkdown, testthat (>= 3.0.0)
Enhances: ggplot2, ggridges, IRanges, S4Vectors, openxlsx, kableExtra, matrixStats, viridisLite, ComplexHeatmap, circlize, GenomicRanges, igraph, pryr, rstudioapi, Matrix, sparseMatrixStats
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://jmw86069.github.io/jamba/
BugReports: https://github.com/jmw86069/jamba/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-07 17:13:53 UTC; wardjm
Author: James M. Ward [aut, cre, cph]
Maintainer: James M. Ward <jmw86069@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 14:50:10 UTC

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New package intsel with initial version 1.0
Package: intsel
Title: Interaction Selection in Logistic Regression
Version: 1.0
Date: 2025-03-06
Description: Logistic regression model with data-driven screening for significant two-way interactions.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.12)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
Copyright: file inst/COPYRIGHTS
NeedsCompilation: yes
Packaged: 2025-03-07 14:17:12 UTC; YLIAN
Author: Yi Lian [aut, cre], Tianze Jiao [aut], Guanbo Wang [aut], Archer Y. Yang [aut], Julien Mairal [ctb], Yuansi Chen [ctb]
Maintainer: Yi Lian <yi.lian@pennmedicine.upenn.edu>
Repository: CRAN
Date/Publication: 2025-03-10 14:50:26 UTC

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Package ijtiff updated to version 3.1.0 with previous version 3.0.0 dated 2025-03-01

Title: Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Description: General purpose TIFF file I/O for R users. Currently the only such package with read and write support for TIFF files with floating point (real-numbered) pixels, and the only package that can correctly import TIFF files that were saved from 'ImageJ' and write TIFF files than can be correctly read by 'ImageJ' <https://imagej.net/ij/>. Also supports text image I/O.
Author: Rory Nolan [aut, cre] , Kent Johnson [aut], Simon Urbanek [ctb], Sergi Padilla-Parra [ths] , Jeroen Ooms [rev, ctb] , Jon Clayden [rev]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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New package gmwmx2 with initial version 0.0.1
Package: gmwmx2
Title: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
Version: 0.0.1
Description: Implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024) <doi:10.48550/arXiv.2409.05160>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals in presence of missing data. The 'gmwmx2' package provides functions to load and plot Global Navigation Satellite System (GNSS) data from the Nevada Geodetic Laboratory and functions to estimate linear model model with correlated residuals in presence of missing data.
License: AGPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0)
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, data.table, dplyr, magrittr, wv, Matrix, httr2, rlang
Suggests: knitr, rmarkdown, knitcitations, raster, rnaturalearth, shape, tibble, tidygeocoder, sf, geodata
URL: https://github.com/SMAC-Group/gmwmx2
BugReports: https://github.com/SMAC-Group/gmwmx2/issues
LazyData: true
NeedsCompilation: yes
Packaged: 2025-03-10 04:08:34 UTC; lionel
Author: Lionel Voirol [aut, cre] , Haotian Xu [aut] , Yuming Zhang [aut] , Luca Insolia [aut] , Roberto Molinari [aut] , Stephane Guerrier [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 14:40:02 UTC

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Package genBaRcode updated to version 1.2.8 with previous version 1.2.7 dated 2023-12-11

Title: Analysis and Visualization Tools for Genetic Barcode Data
Description: Provides the necessary functions to identify and extract a selection of already available barcode constructs (Cornils, K. et al. (2014) <doi:10.1093/nar/gku081>) and freely choosable barcode designs from next generation sequence (NGS) data. Furthermore, it offers the possibility to account for sequence errors, the calculation of barcode similarities and provides a variety of visualisation tools (Thielecke, L. et al. (2017) <doi:10.1038/srep43249>).
Author: Lars Thielecke [aut, cre]
Maintainer: Lars Thielecke <lars.thielecke@tu-dresden.de>

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New package geneNR with initial version 1.0.1
Package: geneNR
Title: Automated Gene Identification for Post-GWAS Analysis
Version: 1.0.1
Description: Facilitates the post-Genome Wide Association Studies (GWAS) analysis of identifying candidate genes within user-defined search window, based on the identified Single Nucleotide Polymorphisms (SNPs) as given by Mazumder AK (2024) <doi:10.1038/s41598-024-66903-3>. It supports candidate gene analysis for wheat and rice. Just import your GWAS result as explained in the sample_data file and the function does all the manual search and retrieve candidate genes for you, while exporting the results into ready-to-use output.
License: CC BY 4.0
Copyright: (C) 2025 Nirmalaruban
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: TRUE
Imports: readr, stringr, utils, httr, rvest, xml2, writexl
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-07 18:37:22 UTC; nirma
Author: Rajamani Nirmalaruban [aut, cre, cph], R. Suvitha [aut], Rajbir Yadav [aut], Meda Alekya [aut], Amit Kumar Mazumder [aut], Subramani Sugumar [aut], Prashanth babu [aut], Manjeet Kumar [aut], Kiran B Gaikwad [aut], Naresh Kumar Bainsla [aut], S. Bhask [...truncated...]
Maintainer: Rajamani Nirmalaruban <nirmalaruban97@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-10 14:50:34 UTC

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Package PLNmodels updated to version 1.2.1 with previous version 1.2.0 dated 2024-03-05

Title: Poisson Lognormal Models
Description: The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, 2021 <doi:10.3389/fevo.2021.588292>) can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data, discriminant analysis, model-based clustering and network inference. Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
Author: Julien Chiquet [aut, cre] , Mahendra Mariadassou [aut] , Stephane Robin [aut], Francois Gindraud [aut], Julie Aubert [ctb], Bastien Batardiere [ctb], Giovanni Poggiato [ctb], Cole Trapnell [ctb], Maddy Duran [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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Package fastglmpca updated to version 0.1-107 with previous version 0.1-103 dated 2024-01-31

Title: Fast Algorithms for Generalized Principal Component Analysis
Description: Implements fast, scalable optimization algorithms for fitting generalized principal components analysis (GLM-PCA) models, as described in "A Generalization of Principal Components Analysis to the Exponential Family" Collins M, Dasgupta S, Schapire RE (2002, ISBN:9780262271738), and subsequently "Feature Selection and Dimension Reduction for Single-Cell RNA-Seq Based on a Multinomial Model" Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) <doi:10.1186/s13059-019-1861-6>.
Author: Eric Weine [aut, cre], Peter Carbonetto [aut], Matthew Stephens [aut]
Maintainer: Eric Weine <ericweine15@gmail.com>

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Package xmeta updated to version 1.3.3 with previous version 1.3.2 dated 2023-09-06

Title: A Toolbox for Multivariate Meta-Analysis
Description: A toolbox for meta-analysis. This package includes: 1,a robust multivariate meta-analysis of continuous or binary outcomes; 2, a bivariate Egger's test for detecting small study effects; 3, Galaxy Plot: A New Visualization Tool of Bivariate Meta-Analysis Studies; 4, a bivariate T&F method accounting for publication bias in bivariate meta-analysis, based on symmetry of the galaxy plot. Hong C. et al(2020) <doi:10.1093/aje/kwz286>, Chongliang L. et al(2020) <doi:10.1101/2020.07.27.20161562>.
Author: Chuan Hong [aut], Chongliang Luo [aut], Jiayi Tong [aut], Rui Duan [ctb], Haitao Chu [ctb], Yulun Liu [ctb], Yuqing Lei [cre], Yong Chen [aut]
Maintainer: Yuqing Lei <lyqlei@pennmedicine.upenn.edu>

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Package proporz updated to version 1.5.1 with previous version 1.5.0 dated 2024-04-03

Title: Proportional Apportionment
Description: Calculate seat apportionment for legislative bodies with various methods. The algorithms include divisor or highest averages methods (e.g. Jefferson, Webster or Adams), largest remainder methods and biproportional apportionment. Gaffke, N. & Pukelsheim, F. (2008) <doi:10.1016/j.mathsocsci.2008.01.004> Oelbermann, K. F. (2016) <doi:10.1016/j.mathsocsci.2016.02.003>.
Author: Flavio Poletti [aut, cre, cph]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>

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Package ggstats updated to version 0.9.0 with previous version 0.8.0 dated 2025-01-07

Title: Extension to 'ggplot2' for Plotting Stats
Description: Provides new statistics, new geometries and new positions for 'ggplot2' and a suite of functions to facilitate the creation of statistical plots.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package collapse updated to version 2.1.0 with previous version 2.0.19 dated 2025-01-09

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], Alina Cherkas [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999- [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package vcr updated to version 1.7.0 with previous version 1.6.0 dated 2024-07-23

Title: Record 'HTTP' Calls to Disk
Description: Record test suite 'HTTP' requests and replays them during future runs. A port of the Ruby gem of the same name (<https://github.com/vcr/vcr/>). Works by hooking into the 'webmockr' R package for matching 'HTTP' requests by various rules ('HTTP' method, 'URL', query parameters, headers, body, etc.), and then caching real 'HTTP' responses on disk in 'cassettes'. Subsequent 'HTTP' requests matching any previous requests in the same 'cassette' use a cached 'HTTP' response.
Author: Scott Chamberlain [aut, cre] , Aaron Wolen [aut] , Maelle Salmon [aut] , Daniel Possenriede [aut] , rOpenSci [fnd]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package politeness updated to version 0.9.4 with previous version 0.9.3 dated 2023-11-12

Title: Detecting Politeness Features in Text
Description: Detecting markers of politeness in English natural language. This package allows researchers to easily visualize and quantify politeness between groups of documents. This package combines prior research on the linguistic markers of politeness. We thank the Spencer Foundation, the Hewlett Foundation, and Harvard's Institute for Quantitative Social Science for support.
Author: Mike Yeomans [aut, cre], Alejandro Kantor [aut], Dustin Tingley [aut]
Maintainer: Mike Yeomans <mk.yeomans@gmail.com>

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Package pencal updated to version 2.2.4 with previous version 2.2.3 dated 2025-02-07

Title: Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival
Description: Computes penalized regression calibration (PRC), a statistical method for the dynamic prediction of survival when many longitudinal predictors are available. PRC is described in Signorelli (2024) <doi:10.48550/arXiv.2309.15600> and in Signorelli et al. (2021) <doi:10.1002/sim.9178>.
Author: Mirko Signorelli [aut, cre, cph] , Pietro Spitali [ctb], Roula Tsonaka [ctb], Barbara Vreede [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package MEDseq updated to version 1.4.2 with previous version 1.4.1 dated 2023-12-12

Title: Mixtures of Exponential-Distance Models with Covariates
Description: Implements a model-based clustering method for categorical life-course sequences relying on mixtures of exponential-distance models introduced by Murphy et al. (2021) <doi:10.1111/rssa.12712>. A range of flexible precision parameter settings corresponding to weighted generalisations of the Hamming distance metric are considered, along with the potential inclusion of a noise component. Gating covariates can be supplied in order to relate sequences to baseline characteristics and sampling weights are also accommodated. The models are fitted using the EM algorithm and tools for visualising the results are also provided.
Author: Keefe Murphy [aut, cre] , Thomas Brendan Murphy [ctb] , Raffaella Piccarreta [ctb] , Isobel Claire Gormley [ctb]
Maintainer: Keefe Murphy <keefe.murphy@mu.ie>

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Package jfa updated to version 0.7.3 with previous version 0.7.2 dated 2024-08-23

Title: Statistical Methods for Auditing
Description: Provides statistical methods for auditing as implemented in JASP for Audit (Derks et al., 2021 <doi:10.21105/joss.02733>). First, the package makes it easy for an auditor to plan a statistical sample, select the sample from the population, and evaluate the misstatement in the sample compliant with international auditing standards. Second, the package provides statistical methods for auditing data, including tests of digit distributions and repeated values. Finally, the package includes methods for auditing algorithms on the aspect of fairness and bias. Next to classical statistical methodology, the package implements Bayesian equivalents of these methods whose statistical underpinnings are described in Derks et al. (2021) <doi:10.1111/ijau.12240>, Derks et al. (2024) <doi:10.2308/AJPT-2021-086>, Derks et al. (2022) <doi:10.31234/osf.io/8nf3e> Derks et al. (2024) <doi:10.31234/osf.io/tgq5z>, and Derks et al. (2025) <doi:10.31234/osf.io/b8tu2>.
Author: Koen Derks [aut, cre] , Lotte Mensink [ctb] , Federica Picogna [ctb]
Maintainer: Koen Derks <k.derks@nyenrode.nl>

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Package Interatrix updated to version 1.1.5 with previous version 1.1.4 dated 2024-01-19

Title: Compute Chi-Square Measures with Corrections
Description: Chi-square tests are computed with corrections.
Author: Aurelie Siberchicot [ctb, cre] , Eleonore Hellard [aut], Dominique Pontier [aut], David Fouchet [aut], Franck Sauvage [aut]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package grates updated to version 1.4.3 with previous version 1.4.2 dated 2025-03-07

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package BayesXsrc updated to version 3.0-6 with previous version 3.0-5 dated 2024-03-15

Title: Distribution of the 'BayesX' C++ Sources
Description: 'BayesX' performs Bayesian inference in structured additive regression (STAR) models. The R package BayesXsrc provides the 'BayesX' command line tool for easy installation. A convenient R interface is provided in package R2BayesX.
Author: Nikolaus Umlauf [aut, cre] , Daniel Adler [aut], Thomas Kneib [aut], Stefan Lang [aut], Achim Zeileis [aut]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>

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Package archeofrag.gui updated to version 1.0.0 with previous version 0.1.0 dated 2025-01-08

Title: Spatial Analysis in Archaeology from Refitting Fragments (GUI)
Description: A 'Shiny' application to access the functionalities and datasets of the 'archeofrag' package for spatial analysis in archaeology from refitting data. Quick and seamless exploration of archaeological refitting datasets, focusing on physical refits only. Features include: built-in documentation and convenient workflow, plot generation and exports, support of parallel computing when simulating archaeological site formation processes, R code generation to re-execute simulations and ensure reproducibility, code generation for the 'openMOLE' model exploration software. A demonstration of the app is available at <https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/>.
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package topics updated to version 0.50 with previous version 0.21.0 dated 2024-11-23

Title: Creating and Significance Testing Language Features for Visualisation
Description: Implements differential language analysis with statistical tests and offers various language visualization techniques for n-grams and topics. It also supports the 'text' package. For more information, visit <https://r-topics.org/> and <https://www.r-text.org/>.
Author: Leon Ackermann [aut] , Zhuojun Gu [aut] , Oscar Kjell [aut, cre]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package kgraph updated to version 1.2.0 with previous version 1.0.1 dated 2025-02-01

Title: Knowledge Graphs Constructions and Visualizations
Description: Knowledge graphs enable to efficiently visualize and gain insights into large-scale data analysis results, as p-values from multiple studies or embedding data matrices. The usual workflow is a user providing a data frame of association studies results and specifying target nodes, e.g. phenotypes, to visualize. The knowledge graph then shows all the features which are significantly associated with the phenotype, with the edges being proportional to the association scores. As the user adds several target nodes and grouping information about the nodes such as biological pathways, the construction of such graphs soon becomes complex. The 'kgraph' package aims to enable users to easily build such knowledge graphs, and provides two main features: first, to enable building a knowledge graph based on a data frame of concepts relationships, be it p-values or cosine similarities; second, to enable determining an appropriate cut-off on cosine similarities from a complete embedding matrix, to enab [...truncated...]
Author: Thomas Charlon [aut, cre] , Hongyi Yuan [ctb] , CELEHS [aut] , PARSE Health [aut]
Maintainer: Thomas Charlon <charlon@protonmail.com>

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Package bigstep updated to version 1.1.2 with previous version 1.1.1 dated 2023-05-13

Title: Stepwise Selection for Large Data Sets
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>.
Author: Piotr Szulc [aut, cre]
Maintainer: Piotr Szulc <piotr.michal.szulc@gmail.com>

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Package ale updated to version 0.3.1 with previous version 0.3.0 dated 2024-02-13

Title: Interpretable Machine Learning and Statistical Inference with Accumulated Local Effects (ALE)
Description: Accumulated Local Effects (ALE) were initially developed as a model-agnostic approach for global explanations of the results of black-box machine learning algorithms. ALE has a key advantage over other approaches like partial dependency plots (PDP) and SHapley Additive exPlanations (SHAP): its values represent a clean functional decomposition of the model. As such, ALE values are not affected by the presence or absence of interactions among variables in a mode. Moreover, its computation is relatively rapid. This package rewrites the original code from the 'ALEPlot' package for calculating ALE data and it completely reimplements the plotting of ALE values. It also extends the original ALE concept to add bootstrap-based confidence intervals and ALE-based statistics that can be used for statistical inference. For more details, see Okoli, Chitu. 2023. “Statistical Inference Using Machine Learning and Classical Techniques Based on Accumulated Local Effects (ALE).” arXiv. <doi:10.48550/ar [...truncated...]
Author: Chitu Okoli [aut, cre] , Dan Apley [cph]
Maintainer: Chitu Okoli <Chitu.Okoli@skema.edu>

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Package TMB updated to version 1.9.17 with previous version 1.9.16 dated 2025-01-08

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package rstan updated to version 2.32.7 with previous version 2.32.6 dated 2024-03-05

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Andrew Johnson [aut], Sebastian Weber [aut], Hamada S. Badr [aut] , Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Modrak Martin [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cp [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package quantreg updated to version 6.1 with previous version 6.00 dated 2025-01-29

Title: Quantile Regression
Description: Estimation and inference methods for models for conditional quantile functions: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press, <doi:10.1017/CBO9780511754098> and Koenker, R. et al. (2017) Handbook of Quantile Regression, CRC Press, <doi:10.1201/9781315120256>.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] , Pin Tian Ng [ctb] , Blaise Melly [ctb] , Achim Zeileis [ctb] , Philip Grosjean [ctb] , Cleve Moler [ctb] , Yousef Saad [ctb] , Victor Chernozhukov [ctb] , Ivan Fernandez-Val [ctb] , Martin Maechler [c [...truncated...]
Maintainer: Roger Koenker <rkoenker@illinois.edu>

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Package oblicubes updated to version 1.0.0 with previous version 0.1.2 dated 2022-08-27

Title: 3D Rendering Using Obliquely Projected Cubes and Cuboids
Description: Three-dimensional rendering for 'grid' and 'ggplot2' graphics using cubes and cuboids drawn with an oblique projection. As a special case also supports primary view orthographic projections. Can be viewed as an extension to the 'isocubes' package <https://github.com/coolbutuseless/isocubes>.
Author: Trevor L. Davis [aut, cre] , Mike FC [aut]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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Package EMC2 updated to version 3.1.0 with previous version 3.0.0 dated 2025-03-06

Title: Bayesian Hierarchical Analysis of Cognitive Models of Choice
Description: Fit Bayesian (hierarchical) cognitive models using a linear modeling language interface using particle Metropolis Markov chain Monte Carlo sampling with Gibbs steps. The diffusion decision model (DDM), linear ballistic accumulator model (LBA), racing diffusion model (RDM), and the lognormal race model (LNR) are supported. Additionally, users can specify their own likelihood function and/or choose for non-hierarchical estimation, as well as for a diagonal, blocked or full multivariate normal group-level distribution to test individual differences. Prior specification is facilitated through methods that visualize the (implied) prior. A wide range of plotting functions assist in assessing model convergence and posterior inference. Models can be easily evaluated using functions that plot posterior predictions or using relative model comparison metrics such as information criteria or Bayes factors. References: Stevenson et al. (2024) <doi:10.31234/osf.io/2e4dq>.
Author: Niek Stevenson [aut, cre] , Michelle Donzallaz [aut], Andrew Heathcote [aut], Steven Miletic [ctb], Raphael Hartmann [ctb], Karl C. Klauer [ctb], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [...truncated...]
Maintainer: Niek Stevenson <niek.stevenson@gmail.com>

Diff between EMC2 versions 3.0.0 dated 2025-03-06 and 3.1.0 dated 2025-03-10

 DESCRIPTION                                |    6 +-
 MD5                                        |   23 ++++----
 NAMESPACE                                  |    1 
 NEWS.md                                    |   15 +++++
 R/design.R                                 |    2 
 R/fitting.R                                |    6 +-
 R/make_data.R                              |    7 +-
 R/objects.R                                |    2 
 R/priors.R                                 |   14 ++++-
 R/s3_funcs.R                               |   12 +++-
 R/statistics.R                             |   80 +++++++++++++++++++++++++++--
 inst/doc/Simulation-based-Calibration.html |    4 -
 man/model_averaging.Rd                     |only
 13 files changed, 143 insertions(+), 29 deletions(-)

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Package ade4TkGUI updated to version 0.3.4 with previous version 0.3.3 dated 2025-03-03

Title: 'ade4' Tcl/Tk Graphical User Interface
Description: A Tcl/Tk GUI for some basic functions in the 'ade4' package.
Author: Jean Thioulouse [aut] , Stephane Dray [aut] , Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between ade4TkGUI versions 0.3.3 dated 2025-03-03 and 0.3.4 dated 2025-03-10

 DESCRIPTION |    6 +++---
 MD5         |    4 ++--
 NAMESPACE   |    1 +
 3 files changed, 6 insertions(+), 5 deletions(-)

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Package mbest (with last version 0.6) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-05-25 0.6
2016-03-08 0.5
2015-10-19 0.4
2015-04-20 0.3
2014-06-05 0.1

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Package jsmodule updated to version 1.6.4 with previous version 1.6.3 dated 2025-02-19

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut] , Yoonkyoung Jeon [aut], Jaewoong Heo [aut], Youngsun Park [aut] , Hyungwoo Jo [aut], Jeongmin Seo [aut], Sungho Choi [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jsmodule versions 1.6.3 dated 2025-02-19 and 1.6.4 dated 2025-03-10

 DESCRIPTION                            |   14 ++++++++------
 MD5                                    |   10 +++++-----
 NEWS.md                                |    5 +++++
 R/kaplan.R                             |   14 ++++++++------
 inst/doc/jsmodule.html                 |    4 ++--
 inst/doc/jsmodule_subgroup_cmprsk.html |    4 ++--
 6 files changed, 30 insertions(+), 21 deletions(-)

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Package apsimx updated to version 2.8.235 with previous version 2.8.0 dated 2024-08-19

Title: Inspect, Read, Edit and Run 'APSIM' "Next Generation" and 'APSIM' Classic
Description: The functions in this package inspect, read, edit and run files for 'APSIM' "Next Generation" ('JSON') and 'APSIM' "Classic" ('XML'). The files with an 'apsim' extension correspond to 'APSIM' Classic (7.x) - Windows only - and the ones with an 'apsimx' extension correspond to 'APSIM' "Next Generation". For more information about 'APSIM' see (<https://www.apsim.info/>) and for 'APSIM' next generation (<https://apsimnextgeneration.netlify.app/>).
Author: Fernando Miguez [aut, cre]
Maintainer: Fernando Miguez <femiguez@iastate.edu>

Diff between apsimx versions 2.8.0 dated 2024-08-19 and 2.8.235 dated 2025-03-10

 apsimx-2.8.0/apsimx/inst/extdata/MaizeSoybean.db               |only
 apsimx-2.8.0/apsimx/inst/extdata/Wheat-opt-ex.db               |only
 apsimx-2.8.235/apsimx/DESCRIPTION                              |   11 
 apsimx-2.8.235/apsimx/MD5                                      |  102 
 apsimx-2.8.235/apsimx/NAMESPACE                                |    3 
 apsimx-2.8.235/apsimx/R/apsim_classic.R                        |   16 
 apsimx-2.8.235/apsimx/R/apsim_internal.R                       |  222 
 apsimx-2.8.235/apsimx/R/apsim_version.R                        |   12 
 apsimx-2.8.235/apsimx/R/apsimx.R                               |  408 
 apsimx-2.8.235/apsimx/R/apsimx_soil_profile.R                  |  853 
 apsimx-2.8.235/apsimx/R/edit_apsimx_batch.R                    |    2 
 apsimx-2.8.235/apsimx/R/edit_apsimx_json.R                     |   10 
 apsimx-2.8.235/apsimx/R/edit_apsimx_replace_soil_profile.R     |  649 
 apsimx-2.8.235/apsimx/R/edit_apsimx_replacement.R              |    5 
 apsimx-2.8.235/apsimx/R/extract_data_apsimx.R                  |  407 
 apsimx-2.8.235/apsimx/R/get_isric_soil_profile.R               |  215 
 apsimx-2.8.235/apsimx/R/get_slga_soil_profile.R                |only
 apsimx-2.8.235/apsimx/R/get_ssurgo_tables.R                    |  295 
 apsimx-2.8.235/apsimx/R/inspect_apsimx_json.R                  | 3419 
 apsimx-2.8.235/apsimx/R/inspect_apsimx_replacement.R           |    8 
 apsimx-2.8.235/apsimx/R/optim_apsim.R                          |    1 
 apsimx-2.8.235/apsimx/R/optim_apsimx.R                         |    6 
 apsimx-2.8.235/apsimx/R/sens_apsimx.R                          |  149 
 apsimx-2.8.235/apsimx/R/ssurgo2sp.R                            |  680 
 apsimx-2.8.235/apsimx/R/view_apsimx.R                          |    5 
 apsimx-2.8.235/apsimx/inst/doc/apsimx-scripts.R                |   28 
 apsimx-2.8.235/apsimx/inst/doc/apsimx-scripts.html             |    8 
 apsimx-2.8.235/apsimx/inst/doc/apsimx.R                        |   60 
 apsimx-2.8.235/apsimx/inst/doc/apsimx.Rmd                      |    8 
 apsimx-2.8.235/apsimx/inst/doc/apsimx.html                     |   32 
 apsimx-2.8.235/apsimx/inst/doc/optim-apsim.R                   |   46 
 apsimx-2.8.235/apsimx/inst/doc/optim-apsim.html                |   40 
 apsimx-2.8.235/apsimx/inst/doc/sensitivity-apsim.R             |  118 
 apsimx-2.8.235/apsimx/inst/doc/sensitivity-apsim.html          |   22 
 apsimx-2.8.235/apsimx/inst/extdata/Wheat-opt-ex.apsimx         |36847 ++--------
 apsimx-2.8.235/apsimx/inst/extdata/Wheat-opt-ex_backup.apsimx  |only
 apsimx-2.8.235/apsimx/inst/extdata/WheatRye.apsimx             |36157 ++-------
 apsimx-2.8.235/apsimx/inst/extdata/Wheat_Rye.apsimx            |only
 apsimx-2.8.235/apsimx/man/apsimx.Rd                            |    8 
 apsimx-2.8.235/apsimx/man/apsimx.options.Rd                    |    2 
 apsimx-2.8.235/apsimx/man/apsimx_options.Rd                    |    5 
 apsimx-2.8.235/apsimx/man/compare_apsim_soil_profile.Rd        |   16 
 apsimx-2.8.235/apsimx/man/edit_apsimx_replace_soil_profile.Rd  |    2 
 apsimx-2.8.235/apsimx/man/extract_data_apsimx.Rd               |   30 
 apsimx-2.8.235/apsimx/man/get_isric_soil_profile.Rd            |    2 
 apsimx-2.8.235/apsimx/man/get_slga_soil.Rd                     |only
 apsimx-2.8.235/apsimx/man/get_slga_soil_profile.Rd             |only
 apsimx-2.8.235/apsimx/man/sens_apsimx.Rd                       |   20 
 apsimx-2.8.235/apsimx/tests/test_check_apsimx.R                |   49 
 apsimx-2.8.235/apsimx/tests/test_compare_apsim_soil_profiles.R |only
 apsimx-2.8.235/apsimx/tests/test_cores_sens_apsimx.R           |  474 
 apsimx-2.8.235/apsimx/tests/test_get_isric_soil_profile.R      |   39 
 apsimx-2.8.235/apsimx/tests/test_get_slga_soil_profile.R       |only
 apsimx-2.8.235/apsimx/tests/test_optim_apsimx.R                | 1156 
 apsimx-2.8.235/apsimx/tests/test_sens_apsimx.R                 |  201 
 apsimx-2.8.235/apsimx/tests/test_sr_ks.R                       |only
 apsimx-2.8.235/apsimx/vignettes/apsimx.Rmd                     |    8 
 57 files changed, 27278 insertions(+), 55578 deletions(-)

More information about apsimx at CRAN
Permanent link

Package weatherOz (with last version 1.0.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-07-26 1.0.0

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Package D4TAlink.light (with last version 2.1.17) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2024-12-02 2.1.17
2023-10-04 2.1.14
2022-10-22 2.1.11
2022-09-16 2.1.9
2022-09-15 2.1.8
2022-09-05 2.1.7
2022-08-26 2.1.5

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