Mon, 22 Dec 2025

Package matrixCorr updated to version 0.8.3 with previous version 0.7.2 dated 2025-12-03

Title: Collection of Correlation and Association Estimators
Description: Compute correlation and other association matrices from small to high-dimensional datasets with relative simple functions and sensible defaults. Includes options for shrinkage and robustness to improve results in noisy or high-dimensional settings (p >= n), plus convenient print/plot methods for inspection. Implemented with optimised C++ backends using BLAS/OpenMP and memory-aware symmetric updates. Works with base matrices and data frames, returning standard R objects via a consistent S3 interface. Useful across genomics, agriculture, and machine-learning workflows. Supports Pearson, Spearman, Kendall, distance correlation, partial correlation, and robust biweight mid-correlation; Bland–Altman analyses and Lin's concordance correlation coefficient (including repeated-measures extensions). Methods based on Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>; Schäfer and Strimmer (2005) <doi:10.2202/1544-6115.1175>; Lin (1989) <doi:10.2307/2532051>.
Author: Thiago de Paula Oliveira [aut, cre]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@gmail.com>

Diff between matrixCorr versions 0.7.2 dated 2025-12-03 and 0.8.3 dated 2025-12-22

 DESCRIPTION                                 |    9 
 MD5                                         |   83 +-
 NAMESPACE                                   |    6 
 R/biweight_mid_corr.R                       |  186 +++---
 R/bland_altman.R                            |  128 ++--
 R/bland_altman_repeated.R                   |   76 ++
 R/ccc_repeated.R                            |  865 ++++++++++++++--------------
 R/concordance_corr.R                        |  129 ++--
 R/distance_corr.R                           |   65 +-
 R/kendall_corr.R                            |  140 ++--
 R/partial_correlation.R                     |  132 ++--
 R/pearson_corr.R                            |   51 -
 R/schafer_corr.R                            |   51 -
 R/spearman_rho.R                            |   28 
 R/validate_corr_input.R                     |   12 
 R/view_corr_shiny.R                         |only
 man/biweight_mid_corr.Rd                    |   12 
 man/ccc.Rd                                  |    5 
 man/ccc_lmm_reml.Rd                         |    9 
 man/ccc_pairwise_u_stat.Rd                  |    5 
 man/distance_corr.Rd                        |    5 
 man/kendall_tau.Rd                          |    5 
 man/partial_correlation.Rd                  |    9 
 man/pearson_corr.Rd                         |    5 
 man/schafer_corr.Rd                         |    7 
 man/spearman_rho.Rd                         |    4 
 man/view_corr_shiny.Rd                      |only
 src/biweight_mid_corr.cpp                   |  198 ++++--
 src/ccc_repeated.cpp                        |    4 
 src/concordance_corr.cpp                    |   25 
 src/distance_correlation.cpp                |   57 -
 src/kendall_corr.cpp                        |   13 
 src/matrixCorr_detail.h                     |    9 
 src/partial_correlation.cpp                 |   28 
 tests/testthat/test_biweight_mid_corr.R     |   35 -
 tests/testthat/test_bland_altman.R          |   10 
 tests/testthat/test_bland_altman_repeated.R |   36 +
 tests/testthat/test_distance_corr.R         |   20 
 tests/testthat/test_kendall.R               |   45 -
 tests/testthat/test_partial_correlation.R   |only
 tests/testthat/test_pearson_corr.R          |   22 
 tests/testthat/test_schafer_corr.R          |only
 tests/testthat/test_spearman_rho.R          |   22 
 tests/testthat/test_view_corr_shiny.R       |only
 tests/testthat/tests_partial_correlation.R  |    2 
 45 files changed, 1539 insertions(+), 1014 deletions(-)

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New package manureshed with initial version 0.1.0
Package: manureshed
Title: Spatiotemporal Nutrient Balance Analysis Across Agricultural and Municipal Systems
Version: 0.1.0
Maintainer: Olatunde D. Akanbi <olatunde.akanbi@case.edu>
Description: A comprehensive framework for analyzing agricultural nutrient balances across multiple spatial scales (county, 'HUC8', 'HUC2') with integration of wastewater treatment plant ('WWTP') effluent loads for both nitrogen and phosphorus. Supports classification of spatial units as nutrient sources, sinks, or balanced areas based on agricultural surplus and deficit calculations. Includes visualization tools, spatial transition probability analysis, and nutrient flow network mapping. Built-in datasets include agricultural nutrient balance data from the Nutrient Use Geographic Information System ('NuGIS'; The Fertilizer Institute and Plant Nutrition Canada, 1987-2016) <https://nugis.tfi.org/tabular_data/> and U.S. Environmental Protection Agency ('EPA') wastewater discharge data from the 'ECHO' Discharge Monitoring Report ('DMR') Loading Tool (2007-2016) <https://echo.epa.gov/trends/loading-tool/water-pollution-search>. Data are downloaded on demand from the Open Science Framework ( [...truncated...]
License: MIT + file LICENSE
URL: https://osf.io/g39xa/
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.0.0), sf (>= 1.0.0), ggplot2 (>= 3.3.0), tidyr (>= 1.1.0), jsonlite (>= 1.7.0), rlang (>= 0.4.0), magrittr, scales (>= 1.1.0), igraph (>= 1.2.0), tigris (>= 1.5.0), stats, utils, tools
Suggests: nhdplusTools (>= 0.5.0), RColorBrewer (>= 1.1.0), cowplot (>= 1.1.0), ggpubr (>= 0.4.0), viridis (>= 0.6.0), testthat (>= 3.0.0), knitr, progress, rmarkdown
SystemRequirements: GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-17 18:15:16 UTC; oda10
Author: Olatunde D. Akanbi [aut, cre, cph] , Vibha Mandayam [aut] , Atharva Gupta [aut] , K. Colton Flynn [aut] , Jeffrey Yarus [aut] , Erika I. Barcelos [aut, cph] , Roger H. French [aut, cph]
Repository: CRAN
Date/Publication: 2025-12-22 18:10:02 UTC

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Package hdf5lib updated to version 2.0.0.4 with previous version 2.0.0.3 dated 2025-12-14

Title: Headers and Static Libraries for 'HDF5'
Description: 'HDF5' (Hierarchical Data Format 5) is a high-performance library and file format for storing and managing large, complex data. This package provides the static libraries and headers for the 'HDF5' 'C' library (release 2.0.0). It is intended for R package developers to use in the 'LinkingTo' field, which eliminates the need for users to install system-level 'HDF5' dependencies. This build is compiled with thread-safety enabled and supports dynamic loading of external compression filters. 'HDF5' is developed by 'The HDF Group' <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , The HDF Group [cph] , Jean-loup Mark [cph] , Gailly Adler [cph]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

Diff between hdf5lib versions 2.0.0.3 dated 2025-12-14 and 2.0.0.4 dated 2025-12-22

 DESCRIPTION           |    6 +++---
 MD5                   |    8 ++++----
 NEWS.md               |    6 ++++++
 configure             |    7 +++++--
 src/zlib-1.3.1.tar.gz |binary
 5 files changed, 18 insertions(+), 9 deletions(-)

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New package FMCensSkewReg with initial version 0.1.1
Package: FMCensSkewReg
Title: Finite Mixture of Censored Regression Models with Skewed Distributions
Version: 0.1.1
Author: Jiwon Park [aut, cre], Victor Hugo Lachos Davila [aut], Dipak Dey [aut]
Maintainer: Jiwon Park <pcjylove87@gmail.com>
Description: Provides an implementation of finite mixture regression models for censored data under four distributional families: Normal (FM-NCR), Student t (FM-TCR), skew-Normal (FM-SNCR), and skew-t (FM-STCR). The package enables flexible modeling of skewness and heavy tails often observed in real-world data, while explicitly accounting for censoring. Functions are included for parameter estimation via the Expectation-Maximization (EM) algorithm, computation of standard errors, and model comparison criteria such as the Akaike Information Criterion (AIC), the Bayesian Information Criterion (BIC), and the Efficient Determination Criterion (EDC). The underlying methodology is described in Park et al. (2024) <doi:10.1007/s00180-024-01459-4>.
License: MIT + file LICENSE
URL: https://github.com/JiwonPark41/FMCensSkewReg
BugReports: https://github.com/JiwonPark41/FMCensSkewReg/issues
Depends: R (>= 3.6.0)
Encoding: UTF-8
Imports: stats, mvtnorm, MomTrunc, mnormt, sn, truncdist, mixsmsn
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-12-17 14:21:11 UTC; jiwonpark
Repository: CRAN
Date/Publication: 2025-12-22 18:10:09 UTC

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Package FGLMtrunc updated to version 0.2.0 with previous version 0.1.0 dated 2022-05-26

Title: Truncated Functional Generalized Linear Models
Description: An implementation of the methodologies described in Xi Liu, Afshin A. Divani, and Alexander Petersen (2022) <doi:10.1016/j.csda.2022.107421>, including truncated functional linear and truncated functional logistic regression models.
Author: Xi Liu [aut], Chau Tran [aut, cre], Alexander Petersen [aut]
Maintainer: Chau Tran <cbtr@ucdavis.edu>

Diff between FGLMtrunc versions 0.1.0 dated 2022-05-26 and 0.2.0 dated 2025-12-22

 DESCRIPTION             |   12 -
 MD5                     |   12 -
 build/vignette.rds      |binary
 inst/doc/FGLMtrunc.R    |   34 ++---
 inst/doc/FGLMtrunc.html |  294 ++++++++++++++++++++++++------------------------
 src/Makevars            |    1 
 src/Makevars.win        |    1 
 7 files changed, 180 insertions(+), 174 deletions(-)

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New package AsianOption with initial version 0.1.0
Package: AsianOption
Title: Asian Option Pricing with Price Impact
Version: 0.1.0
Date: 2025-12-04
Maintainer: Priyanshu Tiwari <tiwari.priyanshu.iitk@gmail.com>
Description: Implements binomial tree pricing for geometric and arithmetic Asian options incorporating market price impact from hedging activities. Uses the Cox-Ross-Rubinstein (CRR) model with the replicating portfolio method. Provides exact pricing for geometric Asian options and bounds for arithmetic Asian options based on Jensen's inequality. The price impact mechanism models how hedging volumes affect stock prices, leading to modified risk-neutral probabilities. Based on the methodology described in Tiwari and Majumdar (2025) <doi:10.48550/arXiv.2512.07154>.
License: GPL (>= 3)
URL: https://github.com/plato-12/AsianOption
BugReports: https://github.com/plato-12/AsianOption/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), covr
NeedsCompilation: yes
Packaged: 2025-12-17 20:11:49 UTC; priyanshutiwari
Author: Priyanshu Tiwari [aut, cre] , Sourav Majumdar [ctb]
Repository: CRAN
Date/Publication: 2025-12-22 18:20:02 UTC

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New package weightedsurv with initial version 0.1.0
Package: weightedsurv
Title: Survival Analysis with Subject-Specific (Case Weights) and Time-Dependent Weighting
Version: 0.1.0
Description: Provides survival analysis functions with support for time-dependent and subject-specific (e.g., propensity score) weighting. Implements weighted estimation for Cox models, Kaplan-Meier survival curves, and treatment differences with point-wise and simultaneous confidence bands. Includes restricted mean survival time (RMST) comparisons evaluated across all potential truncation times with both point-wise and simultaneous confidence bands. See Cole, S. R. & Hernán, M. A. (2004) <doi:10.1016/j.cmpb.2003.10.004> for methodological background.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, graphics, rlang, stats, survival, utils
Suggests: adjustedCurves, data.table, DiagrammeR, dplyr, gt, knitr, pammtools, rmarkdown
URL: https://github.com/larry-leon/weightedsurv
BugReports: https://github.com/larry-leon/weightedsurv/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-16 22:36:01 UTC; larryleon
Author: Larry Leon [aut, cre]
Maintainer: Larry Leon <larry.leon.05@post.harvard.edu>
Repository: CRAN
Date/Publication: 2025-12-22 17:10:02 UTC

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New package TemporalForest with initial version 0.1.4
Package: TemporalForest
Title: Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data
Version: 0.1.4
Description: Implements the Temporal Forest algorithm for feature selection in high-dimensional longitudinal data. The method combines time-aware network construction via weighted gene co-expression network analysis (WGCNA), module-based feature screening, and stability selection using tree-based models. This package provides tools for reproducible longitudinal analysis, closely following the methodology described in Shao, Moore, and Ramirez (2025) <https://github.com/SisiShao/TemporalForest>.
License: MIT + file LICENSE
URL: https://github.com/SisiShao/TemporalForest
BugReports: https://github.com/SisiShao/TemporalForest/issues
Encoding: UTF-8
Language: en-US
Imports: WGCNA, dynamicTreeCut, flashClust, glmertree, partykit, stats, graphics, grDevices,
Suggests: knitr, rmarkdown, igraph, Matrix, MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-17 08:48:16 UTC; sisishao
Author: Sisi Shao [aut, cre] , Jason H. Moore [aut] , Christina M. Ramirez [aut]
Maintainer: Sisi Shao <sisishao@g.ucla.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-12-22 17:30:02 UTC

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New package RegEnRF with initial version 1.0.0
Package: RegEnRF
Title: Regression-Enhanced Random Forests
Version: 1.0.0
Description: A novel generalized Random Forest method, that can improve on RFs by borrowing the strength of penalized parametric regression. Based on Zhang et al. (2019) <doi:10.48550/arXiv.1904.10416>.
License: MIT + file LICENSE
BugReports: https://github.com/umbe1987/regenrf/issues
Imports: glmnet, randomForest
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://github.com/umbe1987/regenrf
NeedsCompilation: no
Packaged: 2025-12-17 13:12:29 UTC; minorum
Author: Umberto Minora [aut, cre, cph]
Maintainer: Umberto Minora <umbertofilippo@tiscali.it>
Repository: CRAN
Date/Publication: 2025-12-22 18:00:08 UTC

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New package PlateVision with initial version 0.1.0
Package: PlateVision
Title: Automated qPCR Analysis and Visual Quality Control
Version: 0.1.0
Description: Directly pipes raw quantitative PCR (qPCR) machine outputs into downstream analyses using the comparative Ct (Delta-Delta Ct) method described by Livak and Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Streamlines the workflow from 'Excel' export to publication-ready plots. Integrates unique visual quality control by reconstructing 96-well plate heatmaps, allowing users to instantly detect pipetting errors, edge effects, and outliers. Key features include automated error propagation, laboratory master mix calculations, and generation of bar charts and volcano plots.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, readxl, ggplot2, stringr, plotly
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-12-17 10:46:00 UTC; shubhamlove
Author: Shubham Love [aut, cre]
Maintainer: Shubham Love <shubhamlove2101@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:50:07 UTC

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Package PenCoxFrail updated to version 2.0.1 with previous version 2.0.0 dated 2024-07-04

Title: Regularization in Cox Frailty Models
Description: Different regularization approaches for Cox Frailty Models by penalization methods are provided. see Groll et al. (2017) <doi:10.1111/biom.12637> for effects selection. See also Groll and Hohberg (2024) <doi:10.1002/bimj.202300020> for classical LASSO approach.
Author: Andreas Groll [aut, cre]
Maintainer: Andreas Groll <groll@statistik.tu-dortmund.de>

Diff between PenCoxFrail versions 2.0.0 dated 2024-07-04 and 2.0.1 dated 2025-12-22

 DESCRIPTION            |   21 +++++++++++++--------
 MD5                    |   16 ++++++++--------
 demo/pencoxfrail-pbc.r |    4 ++--
 man/coxFL.Rd           |    4 ++--
 man/coxlasso.rd        |    4 ++--
 man/coxridge.rd        |    4 ++--
 man/pencoxfrail.rd     |   15 ++++++++-------
 src/IntegrMulti.cpp    |    1 -
 src/Makevars.win       |    1 -
 9 files changed, 37 insertions(+), 33 deletions(-)

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New package pipr with initial version 1.4.0
Package: pipr
Title: Client for the Poverty and Inequality Platform ('PIP') API
Version: 1.4.0
Description: An interface to compute poverty and inequality indicators for more than 160 countries and regions from the World Bank's database of household surveys, through the Poverty and Inequality Portal (PIP).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://worldbank.github.io/pipr/, https://github.com/worldbank/pipr
BugReports: https://github.com/worldbank/pipr/issues
Suggests: covr, testthat (>= 3.0.0), spelling, knitr, rmarkdown, markdown, callr, ggplot2, tidyr, ggthemes, forcats, scales, dplyr, readr
Language: en-US
Imports: arrow, attempt, curl, jsonlite, tibble, purrr, cli, rlang, utils, httr2, stringr, vroom
Depends: R (>= 4.1.0)
Date: 2025-12-17
NeedsCompilation: no
Packaged: 2025-12-17 12:14:03 UTC; wb384996
Author: Tony Fujs [aut], Aleksander Eilertsen [aut], Ronak Shah [aut], R.Andres Castaneda [aut, cre], Giorgia Cecchinato [aut], World Bank [cph]
Maintainer: R.Andres Castaneda <acastanedaa@worldbank.org>
Repository: CRAN
Date/Publication: 2025-12-22 18:00:01 UTC

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New package oCELLoc with initial version 1.0.0
Package: oCELLoc
Title: Predicts Suitable Cell Types in Spatial Transcriptomics and scRNA-seq Data
Version: 1.0.0
Description: Picks the suitable cell types in spatial and scRNA-seq data using shrinkage methods. The package includes curated reference gene expression profiles for human and mouse cell types, facilitating immediate application to common spatial transcriptomics or scRNA datasets. Additionally, users can input custom reference data to support tissue- or experiment-specific analyses.
License: MIT + file LICENSE
URL: https://doi.org/10.64898/2025.12.11.693812
Encoding: UTF-8
Imports: glmnet, utils, stats, ggplot2, rlang, reshape2,
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-12-17 06:14:28 UTC; vlaruks
Author: Afeefa Zainab [aut, cre] , Vladyslav Honcharuk [aut] , Alexis Vandenbon [aut]
Maintainer: Afeefa Zainab <afeeffazainab@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:20:02 UTC

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New package enrichit with initial version 0.0.8
Package: enrichit
Title: 'C++' Implementations of Functional Enrichment Analysis
Version: 0.0.8
Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA). The multilevel GSEA algorithm is derived from the 'fgsea' package. Methods are described in Subramanian et al. (2005) <doi:10.1073/pnas.0506580102> and Korotkevich et al. (2021) <doi:10.1101/060012>.
License: Artistic-2.0
Depends: R (>= 3.5.0)
Imports: methods, Rcpp (>= 1.0.10), stats, yulab.utils (> 0.2.1)
LinkingTo: Rcpp
Suggests: AnnotationDbi, clusterProfiler, DOSE, gson, qvalue, quarto, testthat
Encoding: UTF-8
VignetteBuilder: quarto
NeedsCompilation: yes
Packaged: 2025-12-17 01:10:20 UTC; HUAWEI
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:10:09 UTC

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New package contourforest with initial version 0.1.0
Package: contourforest
Title: Contour-Enhanced Forest Plots for Meta-Analysis
Version: 0.1.0
Description: Provides functions to create contour-enhanced forest plots for continuous and binary outcomes in meta-analysis, including options for prediction intervals, customized colors, and study labeling. Based on 'metafor' and 'ggplot2'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, dplyr, metafor, stringr, grid
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-12-17 11:35:48 UTC; DR. Umar Hussain
Author: Umar Hussain [aut, cre]
Maintainer: Umar Hussain <drumarhussain@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:50:02 UTC

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New package citsr with initial version 0.1.3
Package: citsr
Title: Controlled Interrupted Time Series Analysis and Visualization
Version: 0.1.3
Description: Implements controlled interrupted time series (CITS) analysis for evaluating interventions in comparative time-series data. The package provides tools for preparing panel time-series datasets, fitting models using generalized least squares (GLS) with optional autoregressive–moving-average (ARMA) error structures, and computing fitted values and robust standard errors using cluster-robust variance estimators (CR2). Visualization functions enable clear presentation of estimated effects and counterfactual trajectories following interventions. Background on methods for causal inference in interrupted time series can be found in Linden and Adams (2011) <doi:10.1111/j.1365-2753.2010.01504.x> and Lopez Bernal, Cummins, and Gasparrini (2018) <doi:10.1093/ije/dyy135>.
License: MIT + file LICENSE
Imports: dplyr, nlme, clubSandwich, ggplot2, stats, AICcmodavg
Suggests: knitr, rmarkdown, lmtest, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-17 07:50:07 UTC; Gu
Author: Hanmin Gu [aut, cre]
Maintainer: Hanmin Gu <ghm21zzang@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-22 17:20:07 UTC

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Package BrokenAdaptiveRidge updated to version 1.0.2 with previous version 1.0.1 dated 2025-07-23

Title: Broken Adaptive Ridge Regression with Cyclops
Description: Approximates best-subset selection (L0) regression with an iteratively adaptive Ridge (L2) penalty for large-scale models. This package uses Cyclops for an efficient implementation and the iterative method is described in Kawaguchi et al (2020) <doi:10.1002/sim.8438> and Li et al (2021) <doi:10.1016/j.jspi.2020.12.001>.
Author: Marc A. Suchard [aut, cre], Eric Kawaguchi [aut], Ning Li [aut], Gang Li [aut], Observational Health Data Sciences and Informatics [cph]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between BrokenAdaptiveRidge versions 1.0.1 dated 2025-07-23 and 1.0.2 dated 2025-12-22

 DESCRIPTION      |   10 +++++-----
 MD5              |    8 ++++----
 NEWS.md          |    8 +++++++-
 R/Prior.R        |   13 ++++++++-----
 R/fastBarPrior.R |   13 ++++++++-----
 5 files changed, 32 insertions(+), 20 deletions(-)

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Package trace updated to version 1.0.0 with previous version 0.6.0 dated 2025-03-14

Title: Tandem Repeat Analysis by Capillary Electrophoresis
Description: A pipeline for short tandem repeat instability analysis from fragment analysis data. Inputs of fsa files or peak tables, and a user supplied metadata data-frame. The package identifies ladders, calls peaks, identifies the modal peaks, calls repeats, then calculates repeat instability metrics (e.g. expansion index from Lee et al. (2010) <doi:10.1186/1752-0509-4-29>).
Author: Zachariah McLean [aut, cre, cph] , Kevin Correia [aut], Andrew Jiang [ctb]
Maintainer: Zachariah McLean <zachariah.louis.mclean@gmail.com>

Diff between trace versions 0.6.0 dated 2025-03-14 and 1.0.0 dated 2025-12-22

 trace-0.6.0/trace/R/read_fsa.R                                        |only
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 trace-0.6.0/trace/tests/testthat/test-classes.R                       |only
 trace-0.6.0/trace/tests/testthat/test-tidiers.R                       |only
 trace-1.0.0/trace/DESCRIPTION                                         |   19 
 trace-1.0.0/trace/MD5                                                 |  150 -
 trace-1.0.0/trace/NAMESPACE                                           |   17 
 trace-1.0.0/trace/NEWS.md                                             |   64 
 trace-1.0.0/trace/R/add_metadata.R                                    |  161 -
 trace-1.0.0/trace/R/assign_index_peaks.R                              |  162 +
 trace-1.0.0/trace/R/calculate_instability_metrics.R                   |  937 +++++-----
 trace-1.0.0/trace/R/call_repeats.R                                    |  386 ++--
 trace-1.0.0/trace/R/classes.R                                         |  234 +-
 trace-1.0.0/trace/R/config.R                                          |only
 trace-1.0.0/trace/R/constructors.R                                    |  305 +--
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More information about trace at CRAN
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Package shapr readmission to version 1.0.7 with previous version 1.0.6 dated 2025-11-17

Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements methods which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy') is available through PyPI.
Author: Martin Jullum [cre, aut] , Lars Henry Berge Olsen [aut] , Annabelle Redelmeier [aut], Jon Lachmann [aut] , Nikolai Sellereite [aut] , Anders Loeland [ctb], Jens Christian Wahl [ctb], Camilla Lingjaerde [ctb], Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>

This is a re-admission after prior archival of version 1.0.6 dated 2025-11-17

Diff between shapr versions 1.0.6 dated 2025-11-17 and 1.0.7 dated 2025-12-22

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Package sde updated to version 2.0.21 with previous version 2.0.18 dated 2022-08-09

Title: Simulation and Inference for Stochastic Differential Equations
Description: Description: Provides functions for simulation and inference for stochastic differential equations (SDEs). It accompanies the book "Simulation and Inference for Stochastic Differential Equations: With R Examples" (Iacus, 2008, Springer; ISBN: 978-0-387-75838-1).
Author: Stefano Maria Iacus [aut, cre]
Maintainer: Stefano Maria Iacus <smiacus@gmail.com>

Diff between sde versions 2.0.18 dated 2022-08-09 and 2.0.21 dated 2025-12-22

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Package paths updated to version 0.1.2 with previous version 0.1.1 dated 2021-06-18

Title: An Imputation Approach to Estimating Path-Specific Causal Effects
Description: In causal mediation analysis with multiple causally ordered mediators, a set of path-specific effects are identified under standard ignorability assumptions. This package implements an imputation approach to estimating these effects along with a set of bias formulas for conducting sensitivity analysis (Zhou and Yamamoto <doi:10.31235/osf.io/2rx6p>). It contains two main functions: paths() for estimating path-specific effects and sens() for conducting sensitivity analysis. Estimation uncertainty is quantified using the nonparametric bootstrap.
Author: Minh Trinh [aut], Teppei Yamamoto [aut], Xiang Zhou [cre]
Maintainer: Xiang Zhou <xiang_zhou@fas.harvard.edu>

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Package pathfindR updated to version 2.7.0 with previous version 2.6.0 dated 2025-09-20

Title: Enrichment Analysis Utilizing Active Subnetworks
Description: Enrichment analysis enables researchers to uncover mechanisms underlying a phenotype. However, conventional methods for enrichment analysis do not take into account protein-protein interaction information, resulting in incomplete conclusions. 'pathfindR' is a tool for enrichment analysis utilizing active subnetworks. The main function identifies active subnetworks in a protein-protein interaction network using a user-provided list of genes and associated p values. It then performs enrichment analyses on the identified subnetworks, identifying enriched terms (i.e. pathways or, more broadly, gene sets) that possibly underlie the phenotype of interest. 'pathfindR' also offers functionalities to cluster the enriched terms and identify representative terms in each cluster, to score the enriched terms per sample and to visualize analysis results. The enrichment, clustering and other methods implemented in 'pathfindR' are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2019. 'pathfindR [...truncated...]
Author: Ege Ulgen [cre, cph] , Ozan Ozisik [aut]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

Diff between pathfindR versions 2.6.0 dated 2025-09-20 and 2.7.0 dated 2025-12-22

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Package LOMAR updated to version 0.5.1 with previous version 0.5.0 dated 2024-09-26

Title: Localization Microscopy Data Analysis
Description: Read, register and compare point sets from single molecule localization microscopy.
Author: Jean-Karim Heriche [cre, aut]
Maintainer: Jean-Karim Heriche <heriche@embl.de>

Diff between LOMAR versions 0.5.0 dated 2024-09-26 and 0.5.1 dated 2025-12-22

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Package ggseg updated to version 1.6.8 with previous version 1.6.7 dated 2025-11-14

Title: Plotting Tool for Brain Atlases
Description: Contains 'ggplot2' geom for plotting brain atlases using simple features. The largest component of the package is the data for the two built-in atlases. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.
Author: Athanasia Mo Mowinckel [aut, cre] , Didac Vidal-Pineiro [aut] , Ramiro Magno [aut]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package ClusterR updated to version 1.3.6 with previous version 1.3.5 dated 2025-10-18

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre] , Conrad Sanderson [cph] , Ryan Curtin [cph] , Siddharth Agrawal [cph] ), Brendan Frey [cph] ), Delbert Dueck [cph] , Vitalie Spinu [ctb] , Frederiek - Maarten Kerckhof [ctb]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package rsurveycto updated to version 0.2.4 with previous version 0.2.2 dated 2025-06-18

Title: Interact with Data on 'SurveyCTO'
Description: 'SurveyCTO' is a platform for mobile data collection in offline settings. The 'rsurveycto' R package uses the 'SurveyCTO' REST API <https://docs.surveycto.com/05-exporting-and-publishing-data/05-api-access/01.api-access.html> to read datasets and forms from a 'SurveyCTO' server into R as 'data.table's and to download file attachments. The package also has limited support to write datasets to a server.
Author: Jake Hughey [aut, cre], Robert On [aut]
Maintainer: Jake Hughey <jake@agency.fund>

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Package regressoR updated to version 4.0.7 with previous version 4.0.4 dated 2025-05-28

Title: Regression Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
Author: Oldemar Rodriguez [aut, cre], Andres Navarro D. [ctb, prg], Diego Jimenez A. [ctb, prg], Ariel Arroyo S. [ctb, prg], Joseline Quiros M. [ctb, prg], Alejandro Vargas V. [ctb, prg], Jennifer Lobo V. [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package predictoR updated to version 4.1.6 with previous version 4.1.5 dated 2025-05-28

Title: Predictive Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
Author: Oldemar Rodriguez [aut, cre], Diego Jimenez [ctb, prg], Andres Navarro [ctb, prg], Jennifer Lobo [ctb, prg]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package leanpubr (with last version 0.4.0) was removed from CRAN

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

2025-04-01 0.4.0
2018-08-16 0.3.1

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Package psc (with last version 2.0.0) was removed from CRAN

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

2025-11-13 2.0.0
2025-05-29 1.3.0
2025-04-10 1.2.0
2024-12-12 1.1.0
2024-11-20 1.0.0

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Package T4transport updated to version 0.1.7 with previous version 0.1.5 dated 2025-11-13

Title: Tools for Computational Optimal Transport
Description: Transport theory has seen much success in many fields of statistics and machine learning. We provide a variety of algorithms to compute Wasserstein distance, barycenter, and others. See Peyré and Cuturi (2019) <doi:10.1561/2200000073> for the general exposition to the study of computational optimal transport.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package plotfunctions updated to version 1.5 with previous version 1.4 dated 2020-04-28

Title: Various Functions to Facilitate Visualization of Data and Analysis
Description: When analyzing data, plots are a helpful tool for visualizing data and interpreting statistical models. This package provides a set of simple tools for building plots incrementally, starting with an empty plot region, and adding bars, data points, regression lines, error bars, gradient legends, density distributions in the margins, and even pictures. The package builds further on R graphics by simply combining functions and settings in order to reduce the amount of code to produce for the user. As a result, the package does not use formula input or special syntax, but can be used in combination with default R plot functions. Note: Most of the functions were part of the package 'itsadug', which is now split in two packages: 1. the package 'itsadug', which contains the core functions for visualizing and evaluating nonlinear regression models, and 2. the package 'plotfunctions', which contains more general plot functions.
Author: Jacolien van Rij [aut, cre]
Maintainer: Jacolien van Rij <j.c.van.rij@rug.nl>

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Package motherduck updated to version 0.2.1 with previous version 0.2.0 dated 2025-12-02

Title: Utilities for Managing a 'Motherduck' Database
Description: Provides helper functions, metadata utilities, and workflows for administering and managing databases on the 'Motherduck' cloud platform. Some features require a 'Motherduck' account (<https://motherduck.com/>).
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>

Diff between motherduck versions 0.2.0 dated 2025-12-02 and 0.2.1 dated 2025-12-22

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Package hySpc.testthat readmission to version 0.2.2 with previous version 0.2.1 dated 2020-06-24

Title: Unit Test Add-on for 'testthat'
Description: Enhance package 'testthat' by allowing tests to be attached to the function/object they test. This allows to keep functional and unit test code together.
Author: Claudia Beleites [aut, cre], Erick Oduniyi [aut]
Maintainer: Claudia Beleites <Claudia.Beleites@chemometrix.gmbh>

This is a re-admission after prior archival of version 0.2.1 dated 2020-06-24

Diff between hySpc.testthat versions 0.2.1 dated 2020-06-24 and 0.2.2 dated 2025-12-22

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Package centerline updated to version 0.2.5 with previous version 0.2.4 dated 2025-09-09

Title: Extract Centerline from Closed Polygons
Description: Generates skeletons of closed 2D polygons using Voronoi diagrams. It provides methods for 'sf', 'terra', and 'geos' objects to compute polygon centerlines based on the generated skeletons. Voronoi, G. (1908) <doi:10.1515/crll.1908.134.198>.
Author: Anatoly Tsyplenkov [aut, cre, cph]
Maintainer: Anatoly Tsyplenkov <atsyplenkov@fastmail.com>

Diff between centerline versions 0.2.4 dated 2025-09-09 and 0.2.5 dated 2025-12-22

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Package mtdesign updated to version 0.1.4 with previous version 0.1.3 dated 2025-08-23

Title: Mander and Thompson Designs
Description: Implements Mander & Thompson's (2010) <doi:10.1016/j.cct.2010.07.008> methods for two-stage designs optimal under the alternative hypothesis for phase II [cancer] trials. Also provides an implementation of Simon's (1989) <doi:10.1016/0197-2456(89)90015-9> original methodology and allows exploration of the operating characteristics of sub-optimal designs.
Author: John Kirkpatrick [aut, cre]
Maintainer: John Kirkpatrick <mtdesign@puzzledface.net>

Diff between mtdesign versions 0.1.3 dated 2025-08-23 and 0.1.4 dated 2025-12-22

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Package epiworldR updated to version 0.11.0.0 with previous version 0.10.0.0 dated 2025-11-14

Title: Fast Agent-Based Epi Models
Description: A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.
Author: George Vega Yon [aut, cre] , Derek Meyer [aut] , Andrew Pulsipher [aut] , Susan Holmes [rev] , Abinash Satapathy [rev] , Carinogurjao [rev], Centers for Disease Control and Prevention [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

Diff between epiworldR versions 0.10.0.0 dated 2025-11-14 and 0.11.0.0 dated 2025-12-22

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 epiworldR-0.11.0.0/epiworldR/inst/include/epiworld/models/init-functions.hpp              |    8 
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Package BigDataStatMeth updated to version 1.0.3 with previous version 1.0.2 dated 2025-11-29

Title: Tools and Infrastructure for Developing 'Scalable' 'HDF5'-Based Methods
Description: A framework for 'scalable' statistical computing on large on-disk matrices stored in 'HDF5' files. It provides efficient block-wise implementations of core linear-algebra operations (matrix multiplication, SVD, PCA, QR decomposition, and canonical correlation analysis) written in C++ and R. These building blocks are designed not only for direct use, but also as foundational components for developing new statistical methods that must operate on datasets too large to fit in memory. The package supports data provided either as 'HDF5' files or standard R objects, and is intended for high-dimensional applications such as 'omics' and precision-medicine research.
Author: Dolors Pelegri-Siso [aut, cre] , Juan R. Gonzalez [aut]
Maintainer: Dolors Pelegri-Siso <dolors.pelegri@isglobal.org>

Diff between BigDataStatMeth versions 1.0.2 dated 2025-11-29 and 1.0.3 dated 2025-12-22

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Package ReVAMP updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-19

Title: Interface to 'Vamp' Audio Analysis Plugins
Description: Provides an interface to the 'Vamp' audio analysis plugin system <https://www.vamp-plugins.org/> developed by Queen Mary University of London's Centre for Digital Music. Enables loading and running 'Vamp' plugins for various audio analysis tasks including tempo detection, onset detection, spectral analysis, and audio feature extraction. Supports mono and stereo audio with automatic channel adaptation and domain conversion.
Author: Ed Baker [aut, cre] , Authors of vamp-sdk [cph] , Mark Borgerding [cph]
Maintainer: Ed Baker <ed@ebaker.me.uk>

Diff between ReVAMP versions 1.0.0 dated 2025-12-19 and 1.0.1 dated 2025-12-22

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Package modsem updated to version 1.0.15 with previous version 1.0.14 dated 2025-11-18

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosb [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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 modsem-1.0.15/modsem/NAMESPACE                                                        |    3 
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 modsem-1.0.15/modsem/R/model_pi.R                                                     |    4 
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 modsem-1.0.15/modsem/man/plot_jn.Rd                                                   |    3 
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Package GBOP2 updated to version 0.1.4 with previous version 0.1.3 dated 2025-04-22

Title: Generalized Bayesian Optimal Phase II Design (G-BOP2)
Description: Provides functions for implementing the Generalized Bayesian Optimal Phase II (G-BOP2) design using various Particle Swarm Optimization (PSO) algorithms, including: - PSO-Default, based on Kennedy and Eberhart (1995) <doi:10.1109/ICNN.1995.488968>, "Particle Swarm Optimization"; - PSO-Quantum, based on Sun, Xu, and Feng (2004) <doi:10.1109/ICCIS.2004.1460396>, "A Global Search Strategy of Quantum-Behaved Particle Swarm Optimization"; - PSO-Dexp, based on Stehlík et al. (2024) <doi:10.1016/j.asoc.2024.111913>, "A Double Exponential Particle Swarm Optimization with Non-Uniform Variates as Stochastic Tuning and Guaranteed Convergence to a Global Optimum with Sample Applications to Finding Optimal Exact Designs in Biostatistics"; - and PSO-GO.
Author: Xinying Fang [aut], Wanni Lei [aut, cre], Shouhao Zhou [aut], Ping-Yang Chen [aut], Ray-Bing Chen [aut], Weng Kee Wong [aut], J. Jack Lee [aut]
Maintainer: Wanni Lei <wanni.lei17@gmail.com>

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Package fastml updated to version 0.7.5 with previous version 0.7.0 dated 2025-10-29

Title: Guarded Resampling Workflows for Safe and Automated Machine Learning in R
Description: Provides a guarded resampling workflow for training and evaluating machine‑learning models. When the guarded resampling path is used, preprocessing and model fitting are re‑estimated within each resampling split to reduce leakage risk. Supports multiple resampling schemes, integrates with established engines in the 'tidymodels' ecosystem, and aims to improve evaluation reliability by coordinating preprocessing, fitting, and evaluation within supported workflows. Offers a lightweight AutoML‑style workflow by automating model training, resampling, and tuning across multiple algorithms, while keeping evaluation design explicit and user‑controlled.
Author: Selcuk Korkmaz [aut, cre] , Dincer Goksuluk [aut] , Eda Karaismailoglu [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package ergm updated to version 4.11.0 with previous version 4.10.1 dated 2025-08-27

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre] , Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb], Chad Klumb [ctb], Michal Bojanowski [ctb] , [...truncated...]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between ergm versions 4.10.1 dated 2025-08-27 and 4.11.0 dated 2025-12-22

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 ergm-4.11.0/ergm/DESCRIPTION                                                                      |   24 
 ergm-4.11.0/ergm/MD5                                                                              |  336 ++++----
 ergm-4.11.0/ergm/NAMESPACE                                                                        |    8 
 ergm-4.11.0/ergm/R/InitErgmConstraint.R                                                           |    2 
 ergm-4.11.0/ergm/R/InitErgmConstraint.operator.R                                                  |  120 ++
 ergm-4.11.0/ergm/R/InitErgmProposal.R                                                             |   17 
 ergm-4.11.0/ergm/R/InitErgmTerm.R                                                                 |   50 -
 ergm-4.11.0/ergm/R/InitErgmTerm.bipartite.R                                                       |    4 
 ergm-4.11.0/ergm/R/InitErgmTerm.dgw_sp.R                                                          |   14 
 ergm-4.11.0/ergm/R/InitErgmTerm.operator.R                                                        |   29 
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 ergm-4.11.0/ergm/R/InitWtErgmTerm.R                                                               |    6 
 ergm-4.11.0/ergm/R/InitWtErgmTerm.operator.R                                                      |   24 
 ergm-4.11.0/ergm/R/approx.hotelling.diff.test.R                                                   |    9 
 ergm-4.11.0/ergm/R/as.network.numeric.R                                                           |    5 
 ergm-4.11.0/ergm/R/control.ergm.R                                                                 |   35 
 ergm-4.11.0/ergm/R/data.R                                                                         |  412 ++++------
 ergm-4.11.0/ergm/R/ergm-defunct.R                                                                 |    6 
 ergm-4.11.0/ergm/R/ergm-deprecated.R                                                              |    8 
 ergm-4.11.0/ergm/R/ergm-package.R                                                                 |  220 -----
 ergm-4.11.0/ergm/R/ergm.CD.fixed.R                                                                |    9 
 ergm-4.11.0/ergm/R/ergm.MCMLE.R                                                                   |   20 
 ergm-4.11.0/ergm/R/ergm.R                                                                         |  106 --
 ergm-4.11.0/ergm/R/ergm.bridge.R                                                                  |   15 
 ergm-4.11.0/ergm/R/ergm.eta.R                                                                     |   14 
 ergm-4.11.0/ergm/R/ergm.getMCMCsample.R                                                           |   37 
 ergm-4.11.0/ergm/R/ergm.logitreg.R                                                                |    2 
 ergm-4.11.0/ergm/R/ergm.mple.R                                                                    |   23 
 ergm-4.11.0/ergm/R/ergm.san.R                                                                     |   10 
 ergm-4.11.0/ergm/R/ergm.utility.R                                                                 |   24 
 ergm-4.11.0/ergm/R/ergm_estfun.R                                                                  |    2 
 ergm-4.11.0/ergm/R/ergm_model.R                                                                   |   22 
 ergm-4.11.0/ergm/R/ergm_model.utils.R                                                             |    2 
 ergm-4.11.0/ergm/R/ergm_mplecov.R                                                                 |   10 
 ergm-4.11.0/ergm/R/ergm_proposal.R                                                                |   12 
 ergm-4.11.0/ergm/R/get.node.attr.R                                                                |   46 -
 ergm-4.11.0/ergm/R/godfather.R                                                                    |   50 -
 ergm-4.11.0/ergm/R/gof.ergm.R                                                                     |  248 ++++--
 ergm-4.11.0/ergm/R/logLik.ergm.R                                                                  |    5 
 ergm-4.11.0/ergm/R/mcmc.diagnostics.ergm.R                                                        |    8 
 ergm-4.11.0/ergm/R/nonidentifiability.R                                                           |   90 ++
 ergm-4.11.0/ergm/R/simulate.ergm.R                                                                |    5 
 ergm-4.11.0/ergm/R/summary.ergm.R                                                                 |   69 +
 ergm-4.11.0/ergm/R/zzz.R                                                                          |    6 
 ergm-4.11.0/ergm/build/partial.rdb                                                                |binary
 ergm-4.11.0/ergm/build/stage23.rdb                                                                |binary
 ergm-4.11.0/ergm/build/vignette.rds                                                               |binary
 ergm-4.11.0/ergm/data/datalist                                                                    |    2 
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 ergm-4.11.0/ergm/data/sampson.RData                                                               |binary
 ergm-4.11.0/ergm/inst/CITATION                                                                    |    4 
 ergm-4.11.0/ergm/inst/NEWS.Rd                                                                     |  125 +++
 ergm-4.11.0/ergm/inst/REFERENCES.bib                                                              |  385 +++++++++
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 ergm-4.11.0/ergm/inst/include/ergm_changestat.h                                                   |    2 
 ergm-4.11.0/ergm/inst/include/ergm_constants.h                                                    |    2 
 ergm-4.11.0/ergm/inst/include/ergm_dyad_hashmap.h                                                 |   16 
 ergm-4.11.0/ergm/inst/include/ergm_dyadgen.h                                                      |   10 
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 ergm-4.11.0/ergm/src/changestats_auxnet.c                                                         |   10 
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 ergm-4.11.0/ergm/src/changestats_operator.c                                                       |   26 
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 ergm-4.11.0/ergm/src/wtchangestats_auxnet.c                                                       |    8 
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More information about ergm at CRAN
Permanent link

Package orgutils updated to version 0.5-3 with previous version 0.5-2 dated 2025-12-15

Title: Helper Functions for Org Files
Description: Helper functions for Org files (<https://orgmode.org/>): a generic function 'toOrg' for transforming R objects into Org markup (most useful for data frames; there are also methods for Dates/POSIXt) and a function to read Org tables into data frames.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between orgutils versions 0.5-2 dated 2025-12-15 and 0.5-3 dated 2025-12-22

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More information about orgutils at CRAN
Permanent link

Package keras3 updated to version 1.5.0 with previous version 1.4.0 dated 2025-05-04

Title: R Interface to 'Keras'
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.
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>

Diff between keras3 versions 1.4.0 dated 2025-05-04 and 1.5.0 dated 2025-12-22

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More information about keras3 at CRAN
Permanent link

Package driveR updated to version 0.5.0 with previous version 0.4.1 dated 2023-08-19

Title: Prioritizing Cancer Driver Genes Using Genomics Data
Description: Cancer genomes contain large numbers of somatic alterations but few genes drive tumor development. Identifying cancer driver genes is critical for precision oncology. Most of current approaches either identify driver genes based on mutational recurrence or using estimated scores predicting the functional consequences of mutations. 'driveR' is a tool for personalized or batch analysis of genomic data for driver gene prioritization by combining genomic information and prior biological knowledge. As features, 'driveR' uses coding impact metaprediction scores, non-coding impact scores, somatic copy number alteration scores, hotspot gene/double-hit gene condition, 'phenolyzer' gene scores and memberships to cancer-related KEGG pathways. It uses these features to estimate cancer-type-specific probability for each gene of being a cancer driver using the related task of a multi-task learning classification model. The method is described in detail in Ulgen E, Sezerman OU. 2021. driveR: driveR: [...truncated...]
Author: Ege Ulgen [aut, cre, cph]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

Diff between driveR versions 0.4.1 dated 2023-08-19 and 0.5.0 dated 2025-12-22

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More information about driveR at CRAN
Permanent link

Package matchingMarkets updated to version 1.0-5 with previous version 1.0-4 dated 2023-08-08

Title: Analysis of Stable Matchings
Description: Implements structural estimators to estimate preferences and correct for the sample selection bias of observed outcomes in matching markets. This includes one-sided matching of agents into groups (Klein, 2015) <doi:10.17863/CAM.5812> as well as two-sided matching of students to schools (Klein et al., 2024) <doi:10.1016/j.geb.2024.07.003>. The package also contains algorithms to find stable matchings in the three most common matching problems: the stable roommates problem (Irving, 1985) <doi:10.1016/0196-6774(85)90033-1>, the college admissions problem (Gale and Shapley, 1962) <doi:10.2307/2312726>, and the house allocation problem (Shapley and Scarf, 1974) <doi:10.1016/0304-4068(74)90033-0>.
Author: Thilo Klein [aut, cre, cph], Robert Aue [ctb], Fahiem Bacchus [cph], Sven Giegerich [ctb], Matthias Hericks [ctb], Alexander Sauer [ctb], Niklas Sorensson [cph]
Maintainer: Thilo Klein <thilo@klein.uk>

Diff between matchingMarkets versions 1.0-4 dated 2023-08-08 and 1.0-5 dated 2025-12-22

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Package jmotif updated to version 1.2.1 with previous version 1.2.0 dated 2025-10-23

Title: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
Description: Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA algorithms facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly), and characteristic pattern discovery along with interpretable time series classification.
Author: Pavel Senin [aut, cre]
Maintainer: Pavel Senin <seninp@gmail.com>

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Package gooseR updated to version 0.1.1 with previous version 0.1.0 dated 2025-12-17

Title: R Integration for 'Goose' AI
Description: Seamless integration between R and 'Goose' AI capabilities including memory management, visualization enhancements, and workflow automation. Save R objects to 'Goose' memory, apply Block branding to visualizations, and manage data science project workflows. For more information about 'Goose' AI, see <https://github.com/block/goose>.
Author: Brandon Theriault [aut, cre]
Maintainer: Brandon Theriault <btheriault@block.xyz>

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Package DFD updated to version 0.4.0 with previous version 0.3.0 dated 2025-02-11

Title: Extract Drugs from Differential Expression Data from LINCS Database
Description: Get Drug information from given differential expression profile. The package search for the bioactive compounds from reference databases such as LINCS containing the genome-wide gene expression signature (GES) from tens of thousands of drug and genetic perturbations (Subramanian et al. (2017) <DOI:10.1016/j.cell.2017.10.049>).
Author: Mohamed Soudy [aut, cre]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

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Package mknapsack (with last version 0.1.0) was removed from CRAN

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2018-04-10 0.1.0

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Package pocketapi (with last version 0.1) was removed from CRAN

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2020-11-20 0.1

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Package nhlapi (with last version 0.1.3) was removed from CRAN

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2021-02-19 0.1.4
2020-05-25 0.1.2

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Package phyloraster (with last version 2.2.0) was removed from CRAN

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2025-02-28 2.2.0
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2023-11-28 2.0.1

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Package mbbe (with last version 0.1.0) was removed from CRAN

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2025-04-20 1.0.1
2020-09-10 1.0

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Package tinyProject (with last version 0.6.1) was removed from CRAN

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2019-06-14 0.6.1
2019-06-11 0.6
2017-09-27 0.5

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Package regmedint (with last version 1.0.1) was removed from CRAN

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2024-01-12 1.0.1
2022-04-06 1.0.0
2021-05-12 0.2.1
2020-11-16 0.2.0
2020-05-11 0.1.0

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Package optigrab (with last version 0.9.2.1) was removed from CRAN

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2019-01-07 0.9.2.1
2015-10-09 0.7.3

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Package shiny.benchmark (with last version 0.1.1) was removed from CRAN

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Package spaero (with last version 0.6.0) was removed from CRAN

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2020-09-26 0.6.0
2019-05-24 0.5.0
2018-12-16 0.4.0
2018-07-11 0.3.0
2016-10-12 0.2.0
2016-05-22 0.1.1
2016-04-06 0.1.0

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Package mirtjml (with last version 1.4.0) was removed from CRAN

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2020-06-08 1.4.0

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Package nodiv (with last version 1.4.3) was removed from CRAN

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2025-09-12 1.4.3
2023-08-21 1.4.2
2023-05-04 1.4.1
2020-05-26 1.4.0

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Package owmr (with last version 0.8.2) was removed from CRAN

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2018-11-03 0.8.1
2017-01-14 0.7.2

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Package rmdl (with last version 0.1.0) was removed from CRAN

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Package shinyShortcut (with last version 0.1.0) was removed from CRAN

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Package rqlm updated to version 4.2-2 with previous version 4.2-1 dated 2025-12-15

Title: Modified Poisson Regression for Binary Outcome and Related Methods Involving Target Trial Emulations
Description: Modified Poisson, logistic and least-squares regression analyses for binary outcomes of Zou (2004) <doi:10.1093/aje/kwh090>, Noma (2025)<Forthcoming>, and Cheung (2007) <doi:10.1093/aje/kwm223> have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. In addition, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals. Also, standard computational tools for target trial emulation are included.
Author: Hisashi Noma [aut, cre]
Maintainer: Hisashi Noma <noma@ism.ac.jp>

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Package RMaCzek readmission to version 1.6.1 with previous version 1.6.0 dated 2024-06-23

Title: Czekanowski's Diagrams
Description: Allows for production of Czekanowski's Diagrams with clusters. See K. Bartoszek, A. Vasterlund (2020) <doi:10.2478/bile-2020-0008> and K. Bartoszek, Y. Luo (2023) <doi:10.14708/ma.v51i2.7259>. The suggested 'FuzzyDBScan' package (which allows for fuzzy clustering) can be obtained from <https://github.com/henrifnk/FuzzyDBScan/> (or from CRAN's Archive <https://cran.r-project.org/src/contrib/Archive/FuzzyDBScan/>).
Author: Albin Vasterlund [aut], Krzysztof Bartoszek [cre, aut, ths], Ying Luo [aut], Piotr Jaskulski [ctb]
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

This is a re-admission after prior archival of version 1.6.0 dated 2024-06-23

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Package ELYP updated to version 0.7-6 with previous version 0.7-5 dated 2018-08-19

Title: Empirical Likelihood Analysis for the Cox Model and Yang-Prentice (2005) Model
Description: Empirical likelihood ratio tests for the Yang and Prentice (short/long term hazards ratio) model. Empirical likelihood tests within a Cox model, for parameters defined via both baseline hazard function and regression parameters.
Author: Mai Zhou [aut, cre]
Maintainer: Mai Zhou <maizhou@gmail.com>

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Package biomod2 updated to version 4.3-4-3 with previous version 4.2-6-2 dated 2025-01-24

Title: Ensemble Platform for Species Distribution Modeling
Description: Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualisation tools are also available within the package.
Author: Maya Gueguen [aut, cre], Helene Blancheteau [aut], Remi Lemaire-Patin [aut], Wilfried Thuiller [aut]
Maintainer: Maya Gueguen <maya.gueguen@univ-grenoble-alpes.fr>

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Package tind readmission to version 0.2.3 with previous version 0.2.2 dated 2025-11-07

Title: A Common Representation of Time Indices of Different Types
Description: Provides an easy-to-use tind class representing time indices of different types (years, quarters, months, ISO 8601 weeks, dates, time of day, date-time, and arbitrary integer/numeric indices). Includes an extensive collection of functions for calendrical computations (including business applications), index conversions, index parsing, and other operations. Auxiliary classes representing time differences and time intervals (with set operations and index matching functionality) are also provided. All routines have been optimised for speed in order to facilitate computations on large datasets. More details regarding calendars in general and calendrical algorithms can be found in "Calendar FAQ" by Claus Tøndering <https://www.tondering.dk/claus/calendar.html>.
Author: Grzegorz Klima [aut, cre, cph]
Maintainer: Grzegorz Klima <dever@post.pl>

This is a re-admission after prior archival of version 0.2.2 dated 2025-11-07

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Package PANACEA updated to version 1.1.0 with previous version 1.0.1 dated 2023-08-19

Title: Personalized Network-Based Anti-Cancer Therapy Evaluation
Description: Identification of the most appropriate pharmacotherapy for each patient based on genomic alterations is a major challenge in personalized oncology. 'PANACEA' is a collection of personalized anti-cancer drug prioritization approaches utilizing network methods. The methods utilize personalized "driverness" scores from 'driveR' to rank drugs, mapping these onto a protein-protein interaction network. The "distance-based" method scores each drug based on these scores and distances between drugs and genes to rank given drugs. The "RWR" method propagates these scores via a random-walk with restart framework to rank the drugs. The methods are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2023. PANACEA: network-based methods for pharmacotherapy prioritization in personalized oncology. Bioinformatics <doi:10.1093/bioinformatics/btad022>.
Author: Ege Ulgen [aut, cre, cph]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

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Package BLA updated to version 1.0.2 with previous version 1.0.1 dated 2024-05-28

Title: Boundary Line Analysis
Description: Fits boundary line models to datasets as proposed by Webb (1972) <doi:10.1080/00221589.1972.11514472> and makes statistical inferences about their parameters. Provides additional tools for testing datasets for evidence of boundary presence and selecting initial starting values for model optimization prior to fitting the boundary line models. It also includes tools for conducting post-hoc analyses such as predicting boundary values and identifying the most limiting factor (Miti, Milne, Giller, Lark (2024) <doi:10.1016/j.fcr.2024.109365>). This ensures a comprehensive analysis for datasets that exhibit upper boundary structures.
Author: Chawezi Miti [cre, aut, cph] , Richard M Lark [aut] , Alice E Milne [aut] , Ken E Giller [aut] , Victor O Sadras [ctb], University of Nottingham/Rothamsted Research [fnd]
Maintainer: Chawezi Miti <mitichawezi14@gmail.com>

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Package texreg updated to version 1.39.5 with previous version 1.39.4 dated 2024-07-24

Title: Conversion of R Regression Output to LaTeX or HTML Tables
Description: Converts coefficients, standard errors, significance stars, and goodness-of-fit statistics of statistical models into LaTeX tables or HTML tables/MS Word documents or to nicely formatted screen output for the R console for easy model comparison. A list of several models can be combined in a single table. The output is highly customizable. New model types can be easily implemented. Details can be found in Leifeld (2013), JStatSoft <doi:10.18637/jss.v055.i08>.)
Author: Philip Leifeld [aut, cre], Claudia Zucca [ctb]
Maintainer: Philip Leifeld <philip.leifeld@manchester.ac.uk>

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Package pak updated to version 0.9.2 with previous version 0.9.1 dated 2025-12-01

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], Posit Software, PBC [cph, fnd] , Winston Chang [ctb] , Ascent Digital Services [cph, fnd] , Hadley Wickham [ctb, cph] , Jeroen Ooms [ctb] , Maelle Salmon [ctb] , Duncan Temple Lang [ctb] , Lloyd Hilaiel [cph [...truncated...]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package ggstats updated to version 0.12.0 with previous version 0.11.0 dated 2025-09-15

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 ggseqlogo updated to version 0.2.2 with previous version 0.2 dated 2024-02-08

Title: A 'ggplot2' Extension for Drawing Publication-Ready Sequence Logos
Description: The extensive range of functions provided by this package makes it possible to draw highly versatile sequence logos. Features include, but not limited to, modifying colour schemes and fonts used to draw the logo, generating multiple logo plots, and aiding the visualisation with annotations. Sequence logos can easily be combined with other plots 'ggplot2' plots.
Author: Omar Wagih [aut, cre]
Maintainer: Omar Wagih <omarwagih@gmail.com>

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Package dialrjars updated to version 9.0.21 with previous version 9.0.14 dated 2025-09-16

Title: Required 'libphonenumber' jars for the 'dialr' Package
Description: Collects 'libphonenumber' jars required for the 'dialr' package.
Author: Danny Smith [aut, cre], Google Inc. [ctb, cph] , Vonage Holdings Corp. [ctb, cph] , Ian Galpin [ctb, cph] , Ben Gertzfield [ctb, cph]
Maintainer: Danny Smith <danny@gorcha.org>

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 dialrjars-9.0.21/dialrjars/NEWS.md                             |   70 +++++++++
 dialrjars-9.0.21/dialrjars/R/dialrjars.R                       |    6 
 dialrjars-9.0.21/dialrjars/inst/COPYRIGHTS                     |   18 +-
 dialrjars-9.0.21/dialrjars/inst/java/carrier-2.21.jar          |only
 dialrjars-9.0.21/dialrjars/inst/java/geocoder-3.21.jar         |only
 dialrjars-9.0.21/dialrjars/inst/java/libphonenumber-9.0.21.jar |only
 dialrjars-9.0.21/dialrjars/inst/java/prefixmapper-3.21.jar     |only
 dialrjars-9.0.21/dialrjars/java/README                         |   14 -
 dialrjars-9.0.21/dialrjars/man/dialrjars-package.Rd            |   64 ++++----
 dialrjars-9.0.21/dialrjars/tests/testthat.R                    |    8 -
 dialrjars-9.0.21/dialrjars/tests/testthat/test-dialrjars.R     |   76 +++++-----
 18 files changed, 182 insertions(+), 112 deletions(-)

More information about dialrjars at CRAN
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Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.