Sat, 19 Jul 2025

Package tinyVAST updated to version 1.2.0 with previous version 1.1.1 dated 2025-05-07

Title: Multivariate Spatio-Temporal Models using Structural Equations
Description: Fits a wide variety of multivariate spatio-temporal models with simultaneous and lagged interactions among variables (including vector autoregressive spatio-temporal ('VAST') dynamics) for areal, continuous, or network spatial domains. It includes time-variable, space-variable, and space-time-variable interactions using dynamic structural equation models ('DSEM') as expressive interface, and the 'mgcv' package to specify splines via the formula interface. See Thorson et al. (2024) <doi:10.48550/arXiv.2401.10193> for more details.
Author: James T. Thorson [aut, cre] , Sean C. Anderson [aut]
Maintainer: James T. Thorson <James.Thorson@noaa.gov>

Diff between tinyVAST versions 1.1.1 dated 2025-05-07 and 1.2.0 dated 2025-07-19

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 36 files changed, 945 insertions(+), 267 deletions(-)

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Package rdrobust updated to version 3.0.0 with previous version 2.2 dated 2023-11-03

Title: Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs
Description: Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
Author: Sebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut]
Maintainer: Sebastian Calonico <scalonico@ucdavis.edu>

Diff between rdrobust versions 2.2 dated 2023-11-03 and 3.0.0 dated 2025-07-19

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 R/rdbwselect.R           | 1055 +++++++++++-----------
 R/rdbwselect_2014.R      |  932 +++++++++----------
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 R/rdrobust.R             | 2213 ++++++++++++++++++++++++-----------------------
 man/rdbwselect.Rd        |  282 ++---
 man/rdbwselect_2014.Rd   |  172 +--
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 13 files changed, 3825 insertions(+), 3704 deletions(-)

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Package nlmixr2est updated to version 4.0.1 with previous version 4.0.0 dated 2025-07-15

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2est versions 4.0.0 dated 2025-07-15 and 4.0.1 dated 2025-07-19

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Package gggda updated to version 0.1.1 with previous version 0.1.0 dated 2025-07-09

Title: A 'ggplot2' Extension for Geometric Data Analysis
Description: A variety of multivariable data summary statistics and constructions have been proposed, either to generalize univariable analogs or to exploit multivariable properties. Notable among these are the bivariate peelings surveyed by Green (1981, ISBN:978-0-471-28039-2), the bag-and-bolster plots proposed by Rousseeuw &al (1999) <doi:10.1080/00031305.1999.10474494>, and the minimum spanning trees used by Jolliffe (2002) <doi:10.1007/b98835> to represent high-dimensional relationships among data in a low-dimensional plot. Additionally, biplots of singular value--decomposed tabular data, such as from principal components analysis, make use of vectors, calibrated axes, and other representations of variable elements to complement point markers for case elements; see Gabriel (1971) <doi:10.1093/biomet/58.3.453> and Gower & Harding (1988) <doi:10.1093/biomet/75.3.445> for original proposals. Because they treat the abscissa and ordinate as commensurate or the data e [...truncated...]
Author: Jason Cory Brunson [aut, cre] , Emily Paul [ctb], John Gracey [aut]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>

Diff between gggda versions 0.1.0 dated 2025-07-09 and 0.1.1 dated 2025-07-19

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 NAMESPACE                        |   10 ++++++++++
 NEWS.md                          |    6 ++++++
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Package BeastJar updated to version 10.5.0 with previous version 1.10.6 dated 2020-10-26

Title: JAR Dependency for MCMC Using 'BEAST'
Description: Provides JAR to perform Markov chain Monte Carlo (MCMC) inference using the popular Bayesian Evolutionary Analysis by Sampling Trees 'BEAST X' software library of Baele et al (2025) <doi:10.1038/s41592-025-02751-x>. 'BEAST X' supports auto-tuning Metropolis-Hastings, slice, Hamiltonian Monte Carlo and Sequential Monte Carlo sampling for a large variety of composable standard and phylogenetic statistical models using high performance computing. By placing the 'BEAST X' JAR in this package, we offer an efficient distribution system for 'BEAST X' use by other R packages using CRAN.
Author: Marc A. Suchard [aut, cre, cph], Andrew Rambaut [cph], Alexei J. Drummond [cph]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between BeastJar versions 1.10.6 dated 2020-10-26 and 10.5.0 dated 2025-07-19

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Package NVCSSL updated to version 3.0 with previous version 2.0 dated 2023-09-17

Title: Nonparametric Varying Coefficient Spike-and-Slab Lasso
Description: Fits Bayesian regularized varying coefficient models with the Nonparametric Varying Coefficient Spike-and-Slab Lasso (NVC-SSL) introduced by Bai et al. (2023) <https://jmlr.org/papers/volume24/20-1437/20-1437.pdf>. Functions to fit frequentist penalized varying coefficients are also provided, with the option of employing the group lasso penalty of Yuan and Lin (2006) <doi:10.1111/j.1467-9868.2005.00532.x>, the group minimax concave penalty (MCP) of Breheny and Huang <doi:10.1007/s11222-013-9424-2>, or the group smoothly clipped absolute deviation (SCAD) penalty of Breheny and Huang (2015) <doi:10.1007/s11222-013-9424-2>.
Author: Ray Bai [aut, cre]
Maintainer: Ray Bai <raybaistat@gmail.com>

Diff between NVCSSL versions 2.0 dated 2023-09-17 and 3.0 dated 2025-07-19

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Package SeasEpi updated to version 0.0.2 with previous version 0.0.1 dated 2025-06-06

Title: Spatiotemporal Modeling of Seasonal Infectious Disease
Description: Spatiotemporal individual-level model of seasonal infectious disease transmission within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model seasonal infectious disease transmission. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. In addition to model fitting and parameter estimation, the package offers functions for calculating AIC using real pandemic data and conducting simulation studies customized to user-specified model configurations.
Author: Amin Abed [aut, cre, cph] , Mahmoud Torabi [ths], Zeinab Mashreghi [ths]
Maintainer: Amin Abed <abeda@myumanitoba.ca>

Diff between SeasEpi versions 0.0.1 dated 2025-06-06 and 0.0.2 dated 2025-07-19

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Package MBSP updated to version 5.0 with previous version 4.0 dated 2023-05-17

Title: Multivariate Bayesian Model with Shrinkage Priors
Description: Gibbs sampler for fitting multivariate Bayesian linear regression with shrinkage priors (MBSP), using the three parameter beta normal family. The method is described in Bai and Ghosh (2018) <doi:10.1016/j.jmva.2018.04.010>.
Author: Ray Bai [aut, cre]
Maintainer: Ray Bai <raybaistat@gmail.com>

Diff between MBSP versions 4.0 dated 2023-05-17 and 5.0 dated 2025-07-19

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Package gchartsmap updated to version 1.0.1 with previous version 0.1.3 dated 2025-06-12

Title: Access 'Google Charts' Map Data
Description: Connects to the 'Google Charts' geographic data resources described in <https://developers.google.com/chart/interactive/docs/gallery/geochart>, allowing the user to download contents to use as a reference for related services like 'Google Trends'.
Author: Oscar de Leon [aut, cre, cph]
Maintainer: Oscar de Leon <odeleon@emory.edu>

Diff between gchartsmap versions 0.1.3 dated 2025-06-12 and 1.0.1 dated 2025-07-19

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New package openmpp with initial version 0.0.1
Package: openmpp
Title: Programmatic Interface to 'OpenM++'
Version: 0.0.1
Description: A programmatic interface to the 'OpenM++' microsimulation platform (<https://openmpp.org>). The primary goal of this package is to wrap the 'OpenM++' Web Service (OMS) to provide 'OpenM++' users a programmatic interface for the R language.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, curl, glue, httr2, jsonlite, purrr, R6, readr, rlang, tibble, tidyr, tidyselect
URL: https://github.com/mattwarkentin/openmpp, https://mattwarkentin.github.io/openmpp/
BugReports: https://github.com/mattwarkentin/openmpp/issues
Suggests: gh, pingr, sys, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2025-07-16 21:34:48 UTC; matt
Author: Matthew T. Warkentin [aut, cre, cph] , John M. Hutchinson [ctb]
Maintainer: Matthew T. Warkentin <matthew.warkentin@ucalgary.ca>
Repository: CRAN
Date/Publication: 2025-07-19 09:20:02 UTC

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New package gentransmuted with initial version 1.0
Package: gentransmuted
Title: Estimation and Other Tools for Generalized Transmuted Models
Version: 1.0
Date: 2025-07-12
Description: Provide estimation and data generation tools for a generalization of the transmuted distributions discussed in Shaw and Buckley (2007). See <doi:10.48550/arXiv.0901.0434> for more information.
Depends: R (>= 4.0.0)
Imports: pracma, VGAM
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-07-17 01:01:10 UTC; Diego
Author: Yolanda M. Gomez [aut], Hector W. Gomez [aut], Barry C. Arnold [aut], Diego I. Gallardo [aut, cre]
Maintainer: Diego I. Gallardo <dgallardo@ubiobio.cl>
Repository: CRAN
Date/Publication: 2025-07-19 09:50:02 UTC

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Package foghorn updated to version 1.6.1 with previous version 1.6.0 dated 2024-07-02

Title: Summarize CRAN Check Results in the Terminal
Description: The CRAN check results and where your package stands in the CRAN submission queue in your R terminal.
Author: Francois Michonneau [aut, cre], Ben Bolker [ctb]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

Diff between foghorn versions 1.6.0 dated 2024-07-02 and 1.6.1 dated 2025-07-19

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 23 files changed, 682 insertions(+), 558 deletions(-)

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New package dsBase with initial version 6.3.3
Package: dsBase
Title: 'DataSHIELD' Server Site Base Functions
Description: Base 'DataSHIELD' functions for the server side. 'DataSHIELD' is a software package which allows you to do non-disclosive federated analysis on sensitive data. 'DataSHIELD' analytic functions have been designed to only share non disclosive summary statistics, with built in automated output checking based on statistical disclosure control. With data sites setting the threshold values for the automated output checks. For more details, see 'citation("dsBase")'.
Version: 6.3.3
License: GPL-3
Depends: R (>= 4.0.0)
Imports: RANN, stringr, lme4, dplyr, reshape2, polycor (>= 0.8), splines, gamlss, gamlss.dist, mice, childsds
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-07-16 14:47:27 UTC; swheater
Author: Paul Burton [aut], Rebecca Wilson [aut], Olly Butters [aut], Patricia Ryser-Welch [aut], Alex Westerberg [aut], Leire Abarrategui [aut], Roberto Villegas-Diaz [aut] , Demetris Avraam [aut] , Yannick Marcon [aut] , Stuart Wheater [aut, cre]
Maintainer: Stuart Wheater <stuart.wheater@arjuna.com>
Repository: CRAN
Date/Publication: 2025-07-19 09:10:07 UTC

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New package dream with initial version 0.1.0
Package: dream
Title: Dynamic Relational Event Analysis and Modeling
Version: 0.1.0
Maintainer: Kevin A. Carson <kacarson@arizona.edu>
Description: A set of tools for relational and event analysis, including two- and one-mode network brokerage and structural measures, and helper functions optimized for relational event analysis with large datasets, including creating relational risk sets, computing network statistics, estimating relational event models, and simulating relational event sequences. For more information on relational event models, see Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x>, Lerner and Lomi (2020) <doi:10.1017/nws.2019.57>, Bianchi et al. (2024) <doi:10.1146/annurev-statistics-040722-060248>, and Butts et al. (2023) <doi:10.1017/nws.2023.9>. In terms of the structural measures in this package, see Leal (2025) <doi:10.1177/00491241251322517>, Burchard and Cornwell (2018) <doi:10.1016/j.socnet.2018.04.001>, and Fujimoto et al. (2018) <doi:10.1017/nws.2018.11>. This package was developed with support from the National Science Foundation’s (NSF) Human Networks and Data [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: collapse, data.table, fastmatch, dqrng, foreach, parallel, doParallel, Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2025-07-16 19:05:17 UTC; kevincarson
Author: Kevin A. Carson [aut, cre] , Diego F. Leal [aut]
Repository: CRAN
Date/Publication: 2025-07-19 09:10:16 UTC

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New package ceblR with initial version 1.0.0
Package: ceblR
Title: Extract Data from the Canadian Elite Basketball League
Version: 1.0.0
Description: Gather boxscore and play-by-play data from the Canadian Elite Basketball League (CEBL) <https://www.cebl.ca> to create a repository of basic and advanced statistics for teams and players.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, lifecycle, magrittr, readr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/awosoga/ceblR, https://awosoga.github.io/ceblR/
BugReports: https://github.com/awosoga/ceblR/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-16 16:37:18 UTC; ddawosog
Author: David Awosoga [aut, cre, cph] , Matthew Chow [aut]
Maintainer: David Awosoga <odo.awosoga@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-19 09:10:23 UTC

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New package valdr with initial version 1.0.0
Package: valdr
Title: Access and Analyse 'VALD' Data via Our External 'APIs'
Version: 1.0.0
Description: Provides helper functions and wrappers to simplify authentication, data retrieval, and result processing from the 'VALD' 'APIs'. Designed to streamline integration for analysts and researchers working with 'VALD's external 'APIs'. For further documentation, please see <https://support.vald.com/hc/en-au/articles/23415335574553-How-to-integrate-with-VALD-APIs> for documentation.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, base64enc, keyring, jsonlite
NeedsCompilation: no
Packaged: 2025-07-16 01:29:02 UTC; KieranHarrison
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>
Repository: CRAN
Date/Publication: 2025-07-19 08:40:02 UTC

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New package ggdmcModel with initial version 0.2.9.0
Package: ggdmcModel
Title: Model Builders for 'ggdmc' Package
Version: 0.2.9.0
Date: 2025-07-15
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>
Description: A suite of tools for specifying and examining experimental designs related to choice response time models (e.g., the Diffusion Decision Model). This package allows users to define how experimental factors influence one or more model parameters using R-style formula syntax, while also checking the logical consistency of these associations. Additionally, it integrates with the 'ggdmc' package, which employs Differential Evolution Markov Chain Monte Carlo (DE-MCMC) sampling to optimise model parameters. For further details on the model-building approach, see Heathcote, Lin, Reynolds, Strickland, Gretton, and Matzke (2019) <doi:10.3758/s13428-018-1067-y>.
License: GPL (>= 2)
URL: https://github.com/yxlin/ggdmcModel
Imports: Rcpp (>= 1.0.7), methods
Depends: R (>= 3.5.0)
LinkingTo: Rcpp (>= 1.0.7), RcppArmadillo (>= 0.10.7.5.0), ggdmcHeaders
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-07-16 01:04:04 UTC; yslin
Author: Yi-Shin Lin [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-19 08:30:02 UTC

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Package CEOdata (with last version 1.3.1.1) was removed from CRAN

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

2023-07-06 1.3.1.1
2023-05-17 1.3.1
2023-02-01 1.3.0.1
2022-05-17 1.2.0.1

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Package ClusterGVis updated to version 0.1.4 with previous version 0.1.3 dated 2025-06-17

Title: One-Step to Cluster and Visualize Gene Expression Data
Description: Streamlining the clustering and visualization of time-series gene expression data from RNA-Seq experiments, this tool supports fuzzy c-means and k-means clustering algorithms. It is compatible with outputs from widely-used packages such as 'Seurat', 'Monocle', and 'WGCNA', enabling seamless downstream visualization and analysis. See Lokesh Kumar and Matthias E Futschik (2007) <doi:10.6026/97320630002005> for more details.
Author: Jun Zhang [aut, cre]
Maintainer: Jun Zhang <3219030654@stu.cpu.edu.cn>

Diff between ClusterGVis versions 0.1.3 dated 2025-06-17 and 0.1.4 dated 2025-07-19

 ClusterGVis-0.1.3/ClusterGVis/man/cell_data_set.Rd                       |only
 ClusterGVis-0.1.4/ClusterGVis/DESCRIPTION                                |   20 +--
 ClusterGVis-0.1.4/ClusterGVis/MD5                                        |   24 ++--
 ClusterGVis-0.1.4/ClusterGVis/NAMESPACE                                  |   17 ---
 ClusterGVis-0.1.4/ClusterGVis/R/2.clusterData.R                          |    8 +
 ClusterGVis-0.1.4/ClusterGVis/R/3.enrichCluster.R                        |    4 
 ClusterGVis-0.1.4/ClusterGVis/R/4.visCluster.R                           |   38 +++++++
 ClusterGVis-0.1.4/ClusterGVis/R/check-packages.R                         |   13 +-
 ClusterGVis-0.1.4/ClusterGVis/R/monocleHeatmap.R                         |   17 +++
 ClusterGVis-0.1.4/ClusterGVis/R/utils.R                                  |   52 +++++-----
 ClusterGVis-0.1.4/ClusterGVis/README.md                                  |    4 
 ClusterGVis-0.1.4/ClusterGVis/build/vignette.rds                         |binary
 ClusterGVis-0.1.4/ClusterGVis/man/cell_data_set-class.Rd                 |only
 ClusterGVis-0.1.4/ClusterGVis/vignettes/clusterGVis.png                  |only
 ClusterGVis-0.1.4/ClusterGVis/vignettes/clusterGvis_graphic_abstract.jpg |only
 15 files changed, 126 insertions(+), 71 deletions(-)

More information about ClusterGVis at CRAN
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