Tue, 22 Apr 2025

Package rNeighborGWAS updated to version 1.2.5 with previous version 1.2.4 dated 2021-05-10

Title: Testing Neighbor Effects in Marker-Based Regressions
Description: To incorporate neighbor genotypic identity into genome-wide association studies, the package provides a set of functions for variation partitioning and association mapping. The theoretical background of the method is described in Sato et al. (2021) <doi:10.1038/s41437-020-00401-w>.
Author: Yasuhiro Sato [aut, cre] , Eiji Yamamoto [aut], Kentaro K. Shimizu [aut] , Atsushi J. Nagano [aut]
Maintainer: Yasuhiro Sato <sato.yasuhiro.36c@kyoto-u.jp>

Diff between rNeighborGWAS versions 1.2.4 dated 2021-05-10 and 1.2.5 dated 2025-04-22

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 18 files changed, 794 insertions(+), 568 deletions(-)

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Package mark updated to version 0.8.3 with previous version 0.8.2 dated 2024-12-07

Title: Miscellaneous, Analytic R Kernels
Description: Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.
Author: Jordan Mark Barbone [aut, cph, cre]
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>

Diff between mark versions 0.8.2 dated 2024-12-07 and 0.8.3 dated 2025-04-22

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More information about mark at CRAN
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Package vectorsurvR updated to version 1.3.2 with previous version 1.3.1 dated 2025-04-14

Title: Data Access and Analytical Tools for 'VectorSurv' Users
Description: Allows registered 'VectorSurv' <https://vectorsurv.org/> users access to data through the 'VectorSurv API' <https://api.vectorsurv.org/>. Additionally provides functions for analysis and visualization.
Author: Christina De Cesaris [aut, cre]
Maintainer: Christina De Cesaris <cmdecesaris@ucdavis.edu>

Diff between vectorsurvR versions 1.3.1 dated 2025-04-14 and 1.3.2 dated 2025-04-22

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More information about vectorsurvR at CRAN
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Package Qval updated to version 1.2.1 with previous version 1.2.0 dated 2025-03-07

Title: The Q-Matrix Validation Methods Framework
Description: Provide a variety of Q-matrix validation methods for the generalized cognitive diagnosis models, including the method based on the generalized deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> discrimination index (the GDI method) by de la Torre and Chiu (2016) <DOI:10.1007/s11336-015-9467-8>, the step-wise Wald test method (the Wald method) by Ma and de la Torre (2020) <DOI:10.1111/bmsp.12156>, the Hull method by Najera et al. (2021) <DOI:10.1111/bmsp.12228>, the multiple logistic regression‑based Q‑matrix validation method (the MLR-B method) by Tu et al. (2022) <DOI:10.3758/s13428-022-01880-x>, the beta method based on signal detection theory by Li and Chen (2024) <DOI:10.1111/bmsp.12371> and Q-matrix validation based on relative fit index by Chen et la. (2013) <DOI:10.1111/j.1745-3984.2012.00185.x>. Different research methods and iterative procedures during Q-matrix validating are avai [...truncated...]
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>

Diff between Qval versions 1.2.0 dated 2025-03-07 and 1.2.1 dated 2025-04-22

 DESCRIPTION        |    8 ++++----
 MD5                |   34 +++++++++++++++++-----------------
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More information about Qval at CRAN
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Package ggdist updated to version 3.3.3 with previous version 3.3.2 dated 2024-03-05

Title: Visualizations of Distributions and Uncertainty
Description: Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include but are not limited to: points with multiple uncertainty intervals, eye plots (Spiegelhalter D., 1999) <https://ideas.repec.org/a/bla/jorssa/v162y1999i1p45-58.html>, density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>, quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>, complementary cumulative distribution function barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>, and fit curves with multiple uncertainty ri [...truncated...]
Author: Matthew Kay [aut, cre], Brenton M. Wiernik [ctb]
Maintainer: Matthew Kay <mjskay@northwestern.edu>

Diff between ggdist versions 3.3.2 dated 2024-03-05 and 3.3.3 dated 2025-04-22

 ggdist-3.3.2/ggdist/man/reexports.Rd                                                                              |only
 ggdist-3.3.3/ggdist/DESCRIPTION                                                                                   |   42 
 ggdist-3.3.3/ggdist/MD5                                                                                           |  374 +--
 ggdist-3.3.3/ggdist/NAMESPACE                                                                                     |   21 
 ggdist-3.3.3/ggdist/NEWS.md                                                                                       | 1100 +++++-----
 ggdist-3.3.3/ggdist/R/abstract_geom.R                                                                             |   16 
 ggdist-3.3.3/ggdist/R/abstract_stat.R                                                                             |    6 
 ggdist-3.3.3/ggdist/R/abstract_stat_slabinterval.R                                                                |   18 
 ggdist-3.3.3/ggdist/R/auto_partial.R                                                                              |   66 
 ggdist-3.3.3/ggdist/R/binning_methods.R                                                                           |   30 
 ggdist-3.3.3/ggdist/R/bounder.R                                                                                   |   10 
 ggdist-3.3.3/ggdist/R/curve_interval.R                                                                            |   36 
 ggdist-3.3.3/ggdist/R/cut_cdf_qi.R                                                                                |   10 
 ggdist-3.3.3/ggdist/R/density.R                                                                                   |  198 +
 ggdist-3.3.3/ggdist/R/deprecated.R                                                                                |    9 
 ggdist-3.3.3/ggdist/R/distributions.R                                                                             |    4 
 ggdist-3.3.3/ggdist/R/geom.R                                                                                      |    2 
 ggdist-3.3.3/ggdist/R/geom_blur_dots.R                                                                            |   80 
 ggdist-3.3.3/ggdist/R/geom_dotsinterval.R                                                                         |   51 
 ggdist-3.3.3/ggdist/R/geom_interval.R                                                                             |    2 
 ggdist-3.3.3/ggdist/R/geom_lineribbon.R                                                                           |   36 
 ggdist-3.3.3/ggdist/R/geom_pointinterval.R                                                                        |   10 
 ggdist-3.3.3/ggdist/R/geom_slabinterval.R                                                                         |  176 -
 ggdist-3.3.3/ggdist/R/geom_spike.R                                                                                |   19 
 ggdist-3.3.3/ggdist/R/guide_rampbar.R                                                                             |    8 
 ggdist-3.3.3/ggdist/R/interval_widths.R                                                                           |only
 ggdist-3.3.3/ggdist/R/lkjcorr_marginal.R                                                                          |   23 
 ggdist-3.3.3/ggdist/R/parse_dist.R                                                                                |   58 
 ggdist-3.3.3/ggdist/R/partial_colour_ramp.R                                                                       |   11 
 ggdist-3.3.3/ggdist/R/point_interval.R                                                                            |   97 
 ggdist-3.3.3/ggdist/R/position_dodgejust.R                                                                        |    2 
 ggdist-3.3.3/ggdist/R/pr.R                                                                                        |    8 
 ggdist-3.3.3/ggdist/R/rd.R                                                                                        |   11 
 ggdist-3.3.3/ggdist/R/rd_density.R                                                                                |only
 ggdist-3.3.3/ggdist/R/rd_dotsinterval.R                                                                           |    8 
 ggdist-3.3.3/ggdist/R/rd_lineribbon.R                                                                             |   13 
 ggdist-3.3.3/ggdist/R/rd_slabinterval.R                                                                           |   14 
 ggdist-3.3.3/ggdist/R/scale_.R                                                                                    |   24 
 ggdist-3.3.3/ggdist/R/scale_colour_ramp.R                                                                         |   16 
 ggdist-3.3.3/ggdist/R/scale_side_mirrored.R                                                                       |    6 
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 ggdist-3.3.3/ggdist/R/smooth.R                                                                                    |   23 
 ggdist-3.3.3/ggdist/R/stat_dotsinterval.R                                                                         |   21 
 ggdist-3.3.3/ggdist/R/stat_pointinterval.R                                                                        |    3 
 ggdist-3.3.3/ggdist/R/stat_slabinterval.R                                                                         |  154 -
 ggdist-3.3.3/ggdist/R/stat_spike.R                                                                                |   29 
 ggdist-3.3.3/ggdist/R/student_t.R                                                                                 |    4 
 ggdist-3.3.3/ggdist/R/subguide.R                                                                                  |   76 
 ggdist-3.3.3/ggdist/R/subscale.R                                                                                  |only
 ggdist-3.3.3/ggdist/R/testthat.R                                                                                  |   27 
 ggdist-3.3.3/ggdist/R/thickness.R                                                                                 |only
 ggdist-3.3.3/ggdist/R/tidy_format_translators.R                                                                   |    2 
 ggdist-3.3.3/ggdist/R/util.R                                                                                      |   25 
 ggdist-3.3.3/ggdist/R/weighted_ecdf.R                                                                             |    6 
 ggdist-3.3.3/ggdist/R/weighted_hist.R                                                                             |   60 
 ggdist-3.3.3/ggdist/R/weighted_quantile.R                                                                         |   17 
 ggdist-3.3.3/ggdist/build/partial.rdb                                                                             |binary
 ggdist-3.3.3/ggdist/build/vignette.rds                                                                            |binary
 ggdist-3.3.3/ggdist/inst/doc/dotsinterval.R                                                                       |    2 
 ggdist-3.3.3/ggdist/inst/doc/dotsinterval.html                                                                    |   66 
 ggdist-3.3.3/ggdist/inst/doc/freq-uncertainty-vis.R                                                               |    2 
 ggdist-3.3.3/ggdist/inst/doc/freq-uncertainty-vis.html                                                            |   24 
 ggdist-3.3.3/ggdist/inst/doc/lineribbon.R                                                                         |    2 
 ggdist-3.3.3/ggdist/inst/doc/lineribbon.html                                                                      |   50 
 ggdist-3.3.3/ggdist/inst/doc/slabinterval.R                                                                       |   22 
 ggdist-3.3.3/ggdist/inst/doc/slabinterval.Rmd                                                                     |   10 
 ggdist-3.3.3/ggdist/inst/doc/slabinterval.html                                                                    |  100 
 ggdist-3.3.3/ggdist/man/Pr_.Rd                                                                                    |    8 
 ggdist-3.3.3/ggdist/man/align.Rd                                                                                  |    7 
 ggdist-3.3.3/ggdist/man/auto_partial.Rd                                                                           |    8 
 ggdist-3.3.3/ggdist/man/bandwidth.Rd                                                                              |   13 
 ggdist-3.3.3/ggdist/man/bin_dots.Rd                                                                               |   21 
 ggdist-3.3.3/ggdist/man/blur.Rd                                                                                   |   17 
 ggdist-3.3.3/ggdist/man/bounder_cdf.Rd                                                                            |    7 
 ggdist-3.3.3/ggdist/man/bounder_cooke.Rd                                                                          |    5 
 ggdist-3.3.3/ggdist/man/bounder_range.Rd                                                                          |    5 
 ggdist-3.3.3/ggdist/man/breaks.Rd                                                                                 |   29 
 ggdist-3.3.3/ggdist/man/curve_interval.Rd                                                                         |   26 
 ggdist-3.3.3/ggdist/man/cut_cdf_qi.Rd                                                                             |   10 
 ggdist-3.3.3/ggdist/man/density_bounded.Rd                                                                        |   36 
 ggdist-3.3.3/ggdist/man/density_histogram.Rd                                                                      |   54 
 ggdist-3.3.3/ggdist/man/density_unbounded.Rd                                                                      |   31 
 ggdist-3.3.3/ggdist/man/find_dotplot_binwidth.Rd                                                                  |   13 
 ggdist-3.3.3/ggdist/man/geom_blur_dots.Rd                                                                         |   91 
 ggdist-3.3.3/ggdist/man/geom_dots.Rd                                                                              |   81 
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 ggdist-3.3.3/ggdist/man/geom_interval.Rd                                                                          |   78 
 ggdist-3.3.3/ggdist/man/geom_lineribbon.Rd                                                                        |   85 
 ggdist-3.3.3/ggdist/man/geom_pointinterval.Rd                                                                     |  102 
 ggdist-3.3.3/ggdist/man/geom_slab.Rd                                                                              |   81 
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 ggdist-3.3.3/ggdist/man/geom_spike.Rd                                                                             |  100 
 ggdist-3.3.3/ggdist/man/geom_swarm.Rd                                                                             |   81 
 ggdist-3.3.3/ggdist/man/geom_weave.Rd                                                                             |   81 
 ggdist-3.3.3/ggdist/man/ggdist-deprecated.Rd                                                                      |    9 
 ggdist-3.3.3/ggdist/man/ggdist-ggproto.Rd                                                                         |    2 
 ggdist-3.3.3/ggdist/man/ggdist-package.Rd                                                                         |    2 
 ggdist-3.3.3/ggdist/man/guide_rampbar.Rd                                                                          |    6 
 ggdist-3.3.3/ggdist/man/interval_widths.Rd                                                                        |only
 ggdist-3.3.3/ggdist/man/lkjcorr_marginal.Rd                                                                       |    4 
 ggdist-3.3.3/ggdist/man/marginalize_lkjcorr.Rd                                                                    |   21 
 ggdist-3.3.3/ggdist/man/parse_dist.Rd                                                                             |   62 
 ggdist-3.3.3/ggdist/man/partial_colour_ramp.Rd                                                                    |    6 
 ggdist-3.3.3/ggdist/man/point_interval.Rd                                                                         |   60 
 ggdist-3.3.3/ggdist/man/position_dodgejust.Rd                                                                     |    2 
 ggdist-3.3.3/ggdist/man/ramp_colours.Rd                                                                           |    5 
 ggdist-3.3.3/ggdist/man/scale_colour_ramp.Rd                                                                      |   16 
 ggdist-3.3.3/ggdist/man/scale_side_mirrored.Rd                                                                    |    9 
 ggdist-3.3.3/ggdist/man/scale_thickness.Rd                                                                        |   45 
 ggdist-3.3.3/ggdist/man/smooth_density.Rd                                                                         |   15 
 ggdist-3.3.3/ggdist/man/smooth_discrete.Rd                                                                        |   14 
 ggdist-3.3.3/ggdist/man/smooth_none.Rd                                                                            |    5 
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 ggdist-3.3.3/ggdist/man/stat_eye.Rd                                                                               |  231 +-
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 ggdist-3.3.3/ggdist/man/stat_halfeye.Rd                                                                           |  231 +-
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 ggdist-3.3.3/ggdist/man/stat_interval.Rd                                                                          |  102 
 ggdist-3.3.3/ggdist/man/stat_lineribbon.Rd                                                                        |   85 
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 ggdist-3.3.3/ggdist/man/stat_ribbon.Rd                                                                            |   85 
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 ggdist-3.3.3/ggdist/man/stat_spike.Rd                                                                             |  227 +-
 ggdist-3.3.3/ggdist/man/student_t.Rd                                                                              |    4 
 ggdist-3.3.3/ggdist/man/sub-geometry-scales.Rd                                                                    |   24 
 ggdist-3.3.3/ggdist/man/subguide_axis.Rd                                                                          |   58 
 ggdist-3.3.3/ggdist/man/subguide_none.Rd                                                                          |   14 
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 ggdist-3.3.3/ggdist/man/thickness.Rd                                                                              |only
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 ggdist-3.3.3/ggdist/man/waiver.Rd                                                                                 |only
 ggdist-3.3.3/ggdist/man/weighted_ecdf.Rd                                                                          |    6 
 ggdist-3.3.3/ggdist/man/weighted_quantile.Rd                                                                      |   17 
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Package RInside updated to version 0.2.19 with previous version 0.2.18 dated 2023-02-01

Title: C++ Classes to Embed R in C++ (and C) Applications
Description: C++ classes to embed R in C++ (and C) applications A C++ class providing the R interpreter is offered by this package making it easier to have "R inside" your C++ application. As R itself is embedded into your application, a shared library build of R is required. This works on Linux, OS X and even on Windows provided you use the same tools used to build R itself. Numerous examples are provided in the nine subdirectories of the examples/ directory of the installed package: standard, 'mpi' (for parallel computing), 'qt' (showing how to embed 'RInside' inside a Qt GUI application), 'wt' (showing how to build a "web-application" using the Wt toolkit), 'armadillo' (for 'RInside' use with 'RcppArmadillo'), 'eigen' (for 'RInside' use with 'RcppEigen'), and 'c_interface' for a basic C interface and 'Ruby' illustration. The examples use 'GNUmakefile(s)' with GNU extensions, so a GNU make is required (and will use the 'GNUmakefile' automatically). 'Doxygen'-generated documentation of the C++ cl [...truncated...]
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Lance Bachmeier [ctb]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RInside versions 0.2.18 dated 2023-02-01 and 0.2.19 dated 2025-04-22

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Package dssd updated to version 1.0.3 with previous version 1.0.2 dated 2023-11-17

Title: Distance Sampling Survey Design
Description: Creates survey designs for distance sampling surveys. These designs can be assessed for various effort and coverage statistics. Once the user is satisfied with the design characteristics they can generate a set of transects to use in their distance sampling survey. Many of the designs implemented in this R package were first made available in our 'Distance' for Windows software and are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). Find out more about estimating animal/plant abundance with distance sampling at <https://distancesampling.org/>.
Author: Laura Marshall [aut, cre], Rexstad Eric [ctb]
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

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Package proxyC updated to version 0.5.0 with previous version 0.4.1 dated 2024-04-07

Title: Computes Proximity in Large Sparse Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among various built-in similarity/distance measures, computation of correlation, cosine similarity, Dice coefficient and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] , Robrecht Cannoodt [aut]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package epiworldR updated to version 0.8.1.0 with previous version 0.6.1.0 dated 2025-01-28

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] , Derek Meyer [aut] , Andrew Pulsipher [aut, cre] , Susan Holmes [rev] , Abinash Satapathy [rev] , Carinogurjao [rev], Centers for Disease Control and Prevention [fnd]
Maintainer: Andrew Pulsipher <pulsipher.a@gmail.com>

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Package arules updated to version 1.7-10 with previous version 1.7-9 dated 2024-12-14

Title: Mining Association Rules and Frequent Itemsets
Description: Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides C implementations of the association mining algorithms Apriori and Eclat. Hahsler, Gruen and Hornik (2005) <doi:10.18637/jss.v014.i15>.
Author: Michael Hahsler [aut, cre, cph] , Christian Buchta [aut, cph], Bettina Gruen [aut, cph], Kurt Hornik [aut, cph] , Christian Borgelt [ctb, cph], Ian Johnson [ctb], Makhlouf Ledmi [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package RVAideMemoire updated to version 0.9-83-11 with previous version 0.9-83-7 dated 2023-11-06

Title: Testing and Plotting Procedures for Biostatistics
Description: Contains miscellaneous functions useful in biostatistics, mostly univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions intend to simplify user's life by shortening existing procedures or by implementing plotting functions that can be used with as many methods from different packages as possible.
Author: Maxime HERVE [aut, cre]
Maintainer: Maxime HERVE <maxime.herve@univ-rennes.fr>

Diff between RVAideMemoire versions 0.9-83-7 dated 2023-11-06 and 0.9-83-11 dated 2025-04-22

 DESCRIPTION                  |   13 +++++++------
 MD5                          |   30 +++++++++++++++---------------
 NEWS                         |    3 +++
 R/adonis.II.R                |   14 +++++++-------
 R/pairwise.perm.manova.R     |    8 ++++----
 R/zzz.R                      |    2 +-
 man/GPA.test.Rd              |    4 ++--
 man/MVA.cor.Rd               |    2 +-
 man/MVA.scoreplot.Rd         |    2 +-
 man/MVA.scores.Rd            |    2 +-
 man/MVA.synt.Rd              |    2 +-
 man/RVAideMemoire-package.Rd |    6 +++---
 man/adonis.II.Rd             |   10 +++++-----
 man/pairwise.perm.manova.Rd  |    8 ++++----
 man/rating.emmeans.Rd        |   21 ++++++++++-----------
 man/rating.prob.Rd           |   17 +++++++++--------
 16 files changed, 74 insertions(+), 70 deletions(-)

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Package insight updated to version 1.2.0 with previous version 1.1.0 dated 2025-03-01

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between insight versions 1.1.0 dated 2025-03-01 and 1.2.0 dated 2025-04-22

 insight-1.1.0/insight/tests/testthat/test-ggeffects.R              |only
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 insight-1.2.0/insight/MD5                                          |  254 ++-
 insight-1.2.0/insight/NAMESPACE                                    |   30 
 insight-1.2.0/insight/NEWS.md                                      |   79 +
 insight-1.2.0/insight/R/clean_parameters.R                         |  125 +
 insight-1.2.0/insight/R/compute_variances.R                        |    7 
 insight-1.2.0/insight/R/display.R                                  |   41 
 insight-1.2.0/insight/R/export_table.R                             |  155 ++
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 insight-1.2.0/insight/R/find_interactions.R                        |   22 
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 insight-1.2.0/insight/R/find_random_slopes.R                       |   55 
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 insight-1.2.0/insight/R/find_variables.R                           |    8 
 insight-1.2.0/insight/R/fish.R                                     |   17 
 insight-1.2.0/insight/R/format_table.R                             |    7 
 insight-1.2.0/insight/R/format_table_glue.R                        |    4 
 insight-1.2.0/insight/R/get_auxiliary.R                            |   22 
 insight-1.2.0/insight/R/get_data.R                                 |    9 
 insight-1.2.0/insight/R/get_datagrid.R                             |  549 ++++++--
 insight-1.2.0/insight/R/get_df.R                                   |    2 
 insight-1.2.0/insight/R/get_family.R                               |    2 
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 insight-1.2.0/insight/R/get_parameters_bayesian.R                  |   34 
 insight-1.2.0/insight/R/get_parameters_others.R                    |    2 
 insight-1.2.0/insight/R/get_predicted.R                            |   21 
 insight-1.2.0/insight/R/get_predicted_args.R                       |   15 
 insight-1.2.0/insight/R/get_predicted_bayesian.R                   |   40 
 insight-1.2.0/insight/R/get_predicted_ci.R                         |   13 
 insight-1.2.0/insight/R/get_predicted_methods.R                    |   12 
 insight-1.2.0/insight/R/get_sigma.R                                |    2 
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 insight-1.2.0/insight/R/get_varcov.R                               |  132 +-
 insight-1.2.0/insight/R/get_variances.R                            |   60 
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 insight-1.2.0/insight/R/is_converged.R                             |   27 
 insight-1.2.0/insight/R/model_info.R                               |   34 
 insight-1.2.0/insight/R/n_parameters.R                             |   44 
 insight-1.2.0/insight/R/null_model.R                               |  309 ++++
 insight-1.2.0/insight/R/print_parameters.R                         |   20 
 insight-1.2.0/insight/R/utilities.R                                |   13 
 insight-1.2.0/insight/R/utils_get_data.R                           |   33 
 insight-1.2.0/insight/R/utils_model_info.R                         |    3 
 insight-1.2.0/insight/R/validate_argument.R                        |    5 
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 insight-1.2.0/insight/man/find_interactions.Rd                     |   57 
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 insight-1.2.0/insight/man/find_parameters.BGGM.Rd                  |   16 
 insight-1.2.0/insight/man/find_parameters.Rd                       |    3 
 insight-1.2.0/insight/man/find_parameters.averaging.Rd             |    3 
 insight-1.2.0/insight/man/find_parameters.betamfx.Rd               |    3 
 insight-1.2.0/insight/man/find_parameters.glmmTMB.Rd               |    3 
 insight-1.2.0/insight/man/find_parameters.zeroinfl.Rd              |    3 
 insight-1.2.0/insight/man/find_predictors.Rd                       |    7 
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 insight-1.2.0/insight/man/find_random_slopes.Rd                    |    8 
 insight-1.2.0/insight/man/find_response.Rd                         |   15 
 insight-1.2.0/insight/man/find_terms.Rd                            |    3 
 insight-1.2.0/insight/man/find_variables.Rd                        |    8 
 insight-1.2.0/insight/man/fish.Rd                                  |    5 
 insight-1.2.0/insight/man/get_data.Rd                              |    3 
 insight-1.2.0/insight/man/get_datagrid.Rd                          |  288 +++-
 insight-1.2.0/insight/man/get_datagrid.emmGrid.Rd                  |    2 
 insight-1.2.0/insight/man/get_parameters.BGGM.Rd                   |    3 
 insight-1.2.0/insight/man/get_parameters.Rd                        |    3 
 insight-1.2.0/insight/man/get_parameters.betamfx.Rd                |    3 
 insight-1.2.0/insight/man/get_parameters.betareg.Rd                |    3 
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 insight-1.2.0/insight/man/get_parameters.glmmTMB.Rd                |    3 
 insight-1.2.0/insight/man/get_parameters.zeroinfl.Rd               |    3 
 insight-1.2.0/insight/man/get_predicted.Rd                         |    7 
 insight-1.2.0/insight/man/get_predicted_ci.Rd                      |    7 
 insight-1.2.0/insight/man/get_statistic.Rd                         |   94 +
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 insight-1.2.0/insight/man/get_variance.Rd                          |   18 
 insight-1.2.0/insight/man/insight-package.Rd                       |    2 
 insight-1.2.0/insight/man/is_converged.Rd                          |    2 
 insight-1.2.0/insight/man/model_info.Rd                            |   17 
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 insight-1.2.0/insight/man/null_model.Rd                            |    9 
 insight-1.2.0/insight/man/trim_ws.Rd                               |   13 
 insight-1.2.0/insight/man/validate_argument.Rd                     |    5 
 insight-1.2.0/insight/tests/testthat/test-GLMMadaptive.R           |    1 
 insight-1.2.0/insight/tests/testthat/test-brms.R                   |  637 +++++-----
 insight-1.2.0/insight/tests/testthat/test-brms_aterms.R            |    1 
 insight-1.2.0/insight/tests/testthat/test-brms_missing.R           |    1 
 insight-1.2.0/insight/tests/testthat/test-brms_von_mises.R         |   10 
 insight-1.2.0/insight/tests/testthat/test-clean_names.R            |    1 
 insight-1.2.0/insight/tests/testthat/test-clean_parameters.R       |  162 ++
 insight-1.2.0/insight/tests/testthat/test-display.R                |only
 insight-1.2.0/insight/tests/testthat/test-export_table.R           |   36 
 insight-1.2.0/insight/tests/testthat/test-format_table.R           |    1 
 insight-1.2.0/insight/tests/testthat/test-gam.R                    |    1 
 insight-1.2.0/insight/tests/testthat/test-geeglm.R                 |    1 
 insight-1.2.0/insight/tests/testthat/test-get_datagrid.R           |  190 ++
 insight-1.2.0/insight/tests/testthat/test-get_loglikelihood.R      |    1 
 insight-1.2.0/insight/tests/testthat/test-get_predicted.R          |   32 
 insight-1.2.0/insight/tests/testthat/test-glmmPQL.R                |    1 
 insight-1.2.0/insight/tests/testthat/test-glmmTMB.R                |   33 
 insight-1.2.0/insight/tests/testthat/test-model_info.R             |   15 
 insight-1.2.0/insight/tests/testthat/test-mvrstanarm.R             |    1 
 insight-1.2.0/insight/tests/testthat/test-null_model.R             |  107 +
 insight-1.2.0/insight/tests/testthat/test-offset.R                 |   24 
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 insight-1.2.0/insight/tests/testthat/test-r2_nakagawa_bernoulli.R  |   45 
 insight-1.2.0/insight/tests/testthat/test-r2_nakagawa_poisson_zi.R |    4 
 insight-1.2.0/insight/tests/testthat/test-rstanarm.R               |   13 
 insight-1.2.0/insight/tests/testthat/test-spatial.R                |    1 
 insight-1.2.0/insight/tests/testthat/test-vgam.R                   |    1 
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 134 files changed, 3674 insertions(+), 1949 deletions(-)

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Package clockSim updated to version 0.1.2 with previous version 0.1.1 dated 2025-04-07

Title: Streamlined Simulation of Circadian Gene Networks
Description: A user-friendly workflow for simulating circadian clock gene networks. Despite decades of advances in modeling circadian clock dynamics, the lack of accessible tools for reproducible simulation workflows hinders the integration of computational modeling with experimental studies. 'clockSim' addresses this gap by providing models and helper functions with step-by-step vignettes. This package opens up system-level exploration of the circadian clock to wet-lab experimentalists, and future development will include additional clock architectures and other gene circuit models. Currently implemented models are based on Leloup and Goldbeter (1998) <doi:10.1177/074873098128999934>.
Author: Ye Yuan [aut, cre, cph]
Maintainer: Ye Yuan <yeyu@umich.edu>

Diff between clockSim versions 0.1.1 dated 2025-04-07 and 0.1.2 dated 2025-04-22

 DESCRIPTION                  |    6 +++---
 MD5                          |   15 ++++++++-------
 NEWS.md                      |    6 +++++-
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 inst/doc/clock-models.html   |    8 ++++----
 inst/doc/grid-scan.html      |   10 +++++-----
 inst/doc/noisy-LG-model.html |    8 ++++----
 src/odin.c                   |    7 ++++---
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 9 files changed, 40 insertions(+), 34 deletions(-)

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Package SeuratObject updated to version 5.1.0 with previous version 5.0.2 dated 2024-05-08

Title: Data Structures for Single Cell Data
Description: Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, Hao Y, Hao S, et al (2021) <doi:10.1016/j.cell.2021.04.048> and Hao Y, et al (2023) <doi:10.1101/2022.02.24.481684> for more details.
Author: Paul Hoffman [aut] , Rahul Satija [aut, cre] , David Collins [aut] , Yuhan Hao [aut] , Austin Hartman [aut] , Gesmira Molla [aut] , Andrew Butler [aut] , Tim Stuart [aut] , Madeline Kowalski [ctb] , Saket Choudhary [ctb] , Skylar Li [ctb], Longda Jia [...truncated...]
Maintainer: Rahul Satija <seurat@nygenome.org>

Diff between SeuratObject versions 5.0.2 dated 2024-05-08 and 5.1.0 dated 2025-04-22

 SeuratObject-5.0.2/SeuratObject/man/dot-SelectFeatures.Rd                                  |only
 SeuratObject-5.1.0/SeuratObject/DESCRIPTION                                                |   34 
 SeuratObject-5.1.0/SeuratObject/LICENSE                                                    |    4 
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 SeuratObject-5.1.0/SeuratObject/NEWS.md                                                    |  263 
 SeuratObject-5.1.0/SeuratObject/R/RcppExports.R                                            |   22 
 SeuratObject-5.1.0/SeuratObject/R/assay.R                                                  | 3927 +--
 SeuratObject-5.1.0/SeuratObject/R/assay5.R                                                 | 6810 ++---
 SeuratObject-5.1.0/SeuratObject/R/centroids.R                                              |  964 
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 SeuratObject-5.1.0/SeuratObject/R/data.R                                                   |   50 
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 SeuratObject-5.1.0/SeuratObject/R/dimreduc.R                                               | 2328 -
 SeuratObject-5.1.0/SeuratObject/R/fov.R                                                    | 2168 -
 SeuratObject-5.1.0/SeuratObject/R/generics.R                                               | 3299 +-
 SeuratObject-5.1.0/SeuratObject/R/graph.R                                                  |  446 
 SeuratObject-5.1.0/SeuratObject/R/jackstraw.R                                              |  348 
 SeuratObject-5.1.0/SeuratObject/R/keymixin.R                                               |  646 
 SeuratObject-5.1.0/SeuratObject/R/layers.R                                                 |  750 
 SeuratObject-5.1.0/SeuratObject/R/logmap.R                                                 | 1408 -
 SeuratObject-5.1.0/SeuratObject/R/molecules.R                                              |  870 
 SeuratObject-5.1.0/SeuratObject/R/neighbor.R                                               |  386 
 SeuratObject-5.1.0/SeuratObject/R/segmentation.R                                           |  724 
 SeuratObject-5.1.0/SeuratObject/R/seurat.R                                                 |11859 +++++-----
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 SeuratObject-5.1.0/SeuratObject/R/utils.R                                                  | 5634 ++--
 SeuratObject-5.1.0/SeuratObject/R/zzz.R                                                    | 1113 
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 SeuratObject-5.1.0/SeuratObject/man/Crop.Rd                                                |   68 
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 SeuratObject-5.1.0/SeuratObject/man/Graph-class.Rd                                         |   48 
 SeuratObject-5.1.0/SeuratObject/man/Idents.Rd                                              |  292 
 SeuratObject-5.1.0/SeuratObject/man/Images.Rd                                              |   56 
 SeuratObject-5.1.0/SeuratObject/man/Indices.Rd                                             |   46 
 SeuratObject-5.1.0/SeuratObject/man/IsGlobal.Rd                                            |   68 
 SeuratObject-5.1.0/SeuratObject/man/IsMatrixEmpty.Rd                                       |   60 
 SeuratObject-5.1.0/SeuratObject/man/IsNamedList.Rd                                         |   72 
 SeuratObject-5.1.0/SeuratObject/man/IsSparse.Rd                                            |   58 
 SeuratObject-5.1.0/SeuratObject/man/JS.Rd                                                  |   86 
 SeuratObject-5.1.0/SeuratObject/man/JackStrawData-class.Rd                                 |   44 
 SeuratObject-5.1.0/SeuratObject/man/JackStrawData-methods.Rd                               |  114 
 SeuratObject-5.1.0/SeuratObject/man/Key-validity.Rd                                        |   62 
 SeuratObject-5.1.0/SeuratObject/man/Key.Rd                                                 |  154 
 SeuratObject-5.1.0/SeuratObject/man/KeyMixin-class.Rd                                      |  124 
 SeuratObject-5.1.0/SeuratObject/man/Layers-StdAssay.Rd                                     |  130 
 SeuratObject-5.1.0/SeuratObject/man/Layers.Rd                                              |  200 
 SeuratObject-5.1.0/SeuratObject/man/Loadings.Rd                                            |  106 
 SeuratObject-5.1.0/SeuratObject/man/LogMap-class.Rd                                        |  214 
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 SeuratObject-5.1.0/SeuratObject/man/MatchCells.Rd                                          |   66 
 SeuratObject-5.1.0/SeuratObject/man/Misc-StdAssay.Rd                                       |   60 
 SeuratObject-5.1.0/SeuratObject/man/Misc.Rd                                                |  124 
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 SeuratObject-5.1.0/SeuratObject/man/NNIndex.Rd                                             |   66 
 SeuratObject-5.1.0/SeuratObject/man/Neighbor-class.Rd                                      |   58 
 SeuratObject-5.1.0/SeuratObject/man/Neighbor-methods.Rd                                    |   66 
 SeuratObject-5.1.0/SeuratObject/man/ObjectAccess.Rd                                        |   88 
 SeuratObject-5.1.0/SeuratObject/man/Overlay.Rd                                             |  104 
 SeuratObject-5.1.0/SeuratObject/man/PackageCheck.Rd                                        |   66 
 SeuratObject-5.1.0/SeuratObject/man/PolyVtx.Rd                                             |   92 
 SeuratObject-5.1.0/SeuratObject/man/Project.Rd                                             |   66 
 SeuratObject-5.1.0/SeuratObject/man/Radius.Rd                                              |   40 
 SeuratObject-5.1.0/SeuratObject/man/RandomName.Rd                                          |   62 
 SeuratObject-5.1.0/SeuratObject/man/RegisterSparseMatrix.Rd                                |   54 
 SeuratObject-5.1.0/SeuratObject/man/RenameAssays.Rd                                        |   72 
 SeuratObject-5.1.0/SeuratObject/man/RenameCells-StdAssay.Rd                                |   56 
 SeuratObject-5.1.0/SeuratObject/man/RenameCells.Rd                                         |  156 
 SeuratObject-5.1.0/SeuratObject/man/RowMergeSparseMatrices.Rd                              |   50 
 SeuratObject-5.1.0/SeuratObject/man/SaveSeuratRds.Rd                                       |  250 
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 SeuratObject-5.1.0/SeuratObject/man/Segmentation-methods.Rd                                |  270 
 SeuratObject-5.1.0/SeuratObject/man/Seurat-class.Rd                                        |  134 
 SeuratObject-5.1.0/SeuratObject/man/Seurat-validity.Rd                                     |   50 
 SeuratObject-5.1.0/SeuratObject/man/SeuratCommand-class.Rd                                 |   70 
 SeuratObject-5.1.0/SeuratObject/man/SeuratObject-options.Rd                                |  100 
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 SeuratObject-5.1.0/SeuratObject/man/Simplify.Rd                                            |   58 
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 SeuratObject-5.1.0/SeuratObject/man/SpatialImage-class.Rd                                  |   58 
 SeuratObject-5.1.0/SeuratObject/man/SpatialImage-methods.Rd                                |  438 
 SeuratObject-5.1.0/SeuratObject/man/SplitLayers.Rd                                         |   64 
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 SeuratObject-5.1.0/SeuratObject/man/StdAssay-validity.Rd                                   |   90 
 SeuratObject-5.1.0/SeuratObject/man/Stdev.Rd                                               |   72 
 SeuratObject-5.1.0/SeuratObject/man/StitchMatrix.Rd                                        |   56 
 SeuratObject-5.1.0/SeuratObject/man/Theta.Rd                                               |   30 
 SeuratObject-5.1.0/SeuratObject/man/Tool.Rd                                                |  130 
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 SeuratObject-5.1.0/SeuratObject/man/UpdateSlots.Rd                                         |   36 
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 SeuratObject-5.1.0/SeuratObject/man/Version.Rd                                             |   48 
 SeuratObject-5.1.0/SeuratObject/man/WhichCells.Rd                                          |  142 
 SeuratObject-5.1.0/SeuratObject/man/aggregate.Rd                                           |  122 
 SeuratObject-5.1.0/SeuratObject/man/angles.Rd                                              |   76 
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 SeuratObject-5.1.0/SeuratObject/man/as.Graph.Rd                                            |  102 
 SeuratObject-5.1.0/SeuratObject/man/as.Neighbor.Rd                                         |   46 
 SeuratObject-5.1.0/SeuratObject/man/as.Seurat.Rd                                           |   40 
 SeuratObject-5.1.0/SeuratObject/man/as.list.SeuratCommand.Rd                               |   76 
 SeuratObject-5.1.0/SeuratObject/man/as.matrix.LogMap.Rd                                    |   76 
 SeuratObject-5.1.0/SeuratObject/man/as.sparse.Rd                                           |   70 
 SeuratObject-5.1.0/SeuratObject/man/cash-.Assay.Rd                                         |  102 
 SeuratObject-5.1.0/SeuratObject/man/cash-.Assay5.Rd                                        |   78 
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 SeuratObject-5.1.0/SeuratObject/man/cash-.SeuratCommand.Rd                                 |   66 
 SeuratObject-5.1.0/SeuratObject/man/cash-.StdAssay.Rd                                      |   82 
 SeuratObject-5.1.0/SeuratObject/man/colMeans-Assay-method.Rd                               |  120 
 SeuratObject-5.1.0/SeuratObject/man/colMeans-Seurat-method.Rd                              |  120 
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 SeuratObject-5.1.0/SeuratObject/man/dim.Assay5.Rd                                          |   62 
 SeuratObject-5.1.0/SeuratObject/man/dim.DimReduc.Rd                                        |  142 
 SeuratObject-5.1.0/SeuratObject/man/dim.Seurat.Rd                                          |   80 
 SeuratObject-5.1.0/SeuratObject/man/dim.StdAssay.Rd                                        |   66 
 SeuratObject-5.1.0/SeuratObject/man/dimnames.Assay.Rd                                      |  126 
 SeuratObject-5.1.0/SeuratObject/man/dimnames.Assay5.Rd                                     |   96 
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 SeuratObject-5.1.0/SeuratObject/man/dimnames.StdAssay.Rd                                   |   92 
 SeuratObject-5.1.0/SeuratObject/man/dot-AssayClass.Rd                                      |   48 
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 SeuratObject-5.1.0/SeuratObject/man/dot-DollarNames.StdAssay.Rd                            |   72 
 SeuratObject-5.1.0/SeuratObject/man/dot-FileMove.Rd                                        |   72 
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 SeuratObject-5.1.0/SeuratObject/man/dot-GetConsensusFeatures.Rd                            |only
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 SeuratObject-5.1.0/SeuratObject/man/dot-MARGIN.Rd                                          |   36 
 SeuratObject-5.1.0/SeuratObject/man/dot-PropagateList.Rd                                   |   70 
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 SeuratObject-5.1.0/SeuratObject/man/print.DimReduc.Rd                                      |   94 
 SeuratObject-5.1.0/SeuratObject/man/reexports.Rd                                           |   46 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/meta.R                                         |   38 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/desc-validity.R                      |    4 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/lifecycle-deprecated.R               |   10 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/lifecycle-experimental.R             |   12 
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 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/method-cells.R                       |    6 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/method-features.R                    |    8 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/method-lengths.R                     |   10 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/method-show.R                        |    6 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/method-stdassay.R                    |   16 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/name-oldv.R                          |   16 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/note-reqdpkg.R                       |    6 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/param-dots-ignored.R                 |    2 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/param-dots-method.R                  |    2 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/param-verbose.R                      |    2 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/return-null.R                        |    2 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/return-show.R                        |    4 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/section-future.R                     |   26 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/section-progressr.R                  |   16 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/seealso-methods.R                    |    2 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/slot-key.R                           |    8 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/slot-misc.R                          |    2 
 SeuratObject-5.1.0/SeuratObject/man/roxygen/templates/slot-stdassay.R                      |   40 
 SeuratObject-5.1.0/SeuratObject/man/s4list.Rd                                              |  154 
 SeuratObject-5.1.0/SeuratObject/man/set-if-na.Rd                                           |   90 
 SeuratObject-5.1.0/SeuratObject/man/set-if-null.Rd                                         |   88 
 SeuratObject-5.1.0/SeuratObject/man/show-Assay-method.Rd                                   |   50 
 SeuratObject-5.1.0/SeuratObject/man/show-DimReduc-method.Rd                                |   54 
 SeuratObject-5.1.0/SeuratObject/man/show-Graph-method.Rd                                   |   42 
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 SeuratObject-5.1.0/SeuratObject/man/show-Seurat-method.Rd                                  |   42 
 SeuratObject-5.1.0/SeuratObject/man/show-SeuratCommand-method.Rd                           |   44 
 SeuratObject-5.1.0/SeuratObject/man/show-StdAssay-method.Rd                                |   66 
 SeuratObject-5.1.0/SeuratObject/man/show-oldseurat-method.Rd                               |   40 
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 SeuratObject-5.1.0/SeuratObject/man/split.Assay5.Rd                                        |  166 
 SeuratObject-5.1.0/SeuratObject/man/split.Seurat.Rd                                        |  116 
 SeuratObject-5.1.0/SeuratObject/man/split.StdAssay.Rd                                      |  190 
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 SeuratObject-5.1.0/SeuratObject/man/sub-.SeuratCommand.Rd                                  |   70 
 SeuratObject-5.1.0/SeuratObject/man/sub-.StdAssay.Rd                                       |   90 
 SeuratObject-5.1.0/SeuratObject/man/sub-LogMap-method.Rd                                   |  132 
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 SeuratObject-5.1.0/SeuratObject/man/sub-sub-.Assay5.Rd                                     |  116 
 SeuratObject-5.1.0/SeuratObject/man/sub-sub-.DimReduc.Rd                                   |   90 
 SeuratObject-5.1.0/SeuratObject/man/sub-sub-.Seurat.Rd                                     |  174 
 SeuratObject-5.1.0/SeuratObject/man/sub-sub-.StdAssay.Rd                                   |  156 
 SeuratObject-5.1.0/SeuratObject/man/sub-sub-LogMap-internal-method.Rd                      |   54 
 SeuratObject-5.1.0/SeuratObject/man/sub-subset-Seurat-NULL.Rd                              |   94 
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 SeuratObject-5.1.0/SeuratObject/man/sub-subset-Seurat.Rd                                   |  138 
 SeuratObject-5.1.0/SeuratObject/man/subset.Assay.Rd                                        |   88 
 SeuratObject-5.1.0/SeuratObject/man/subset.Assay5.Rd                                       |   78 
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 SeuratObject-5.1.0/SeuratObject/man/v5-assay-summaries.Rd                                  |   86 
 SeuratObject-5.1.0/SeuratObject/tests                                                      |only
 282 files changed, 34853 insertions(+), 34618 deletions(-)

More information about SeuratObject at CRAN
Permanent link

Package nonprobsvy updated to version 0.2.1 with previous version 0.2.0 dated 2025-03-27

Title: Inference Based on Non-Probability Samples
Description: Statistical inference with non-probability samples when auxiliary information from external sources such as probability samples or population totals or means is available. The package implements various methods such as inverse probability (propensity score) weighting, mass imputation and doubly robust approach. Details can be found in: Chen et al. (2020) <doi:10.1080/01621459.2019.1677241>, Yang et al. (2020) <doi:10.1111/rssb.12354>, Kim et al. (2021) <doi:10.1111/rssa.12696>, Yang et al. (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021001/article/00004-eng.htm> and Wu (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022002/article/00002-eng.htm>.
Author: Lukasz Chrostowski [aut, ctb], Maciej Beresewicz [aut, cre] , Piotr Chlebicki [aut, ctb]
Maintainer: Maciej Beresewicz <maciej.beresewicz@ue.poznan.pl>

Diff between nonprobsvy versions 0.2.0 dated 2025-03-27 and 0.2.1 dated 2025-04-22

 nonprobsvy-0.2.0/nonprobsvy/R/est_method_dr.R                   |only
 nonprobsvy-0.2.1/nonprobsvy/DESCRIPTION                         |    8 
 nonprobsvy-0.2.1/nonprobsvy/MD5                                 |   60 ++--
 nonprobsvy-0.2.1/nonprobsvy/NAMESPACE                           |    8 
 nonprobsvy-0.2.1/nonprobsvy/NEWS.md                             |   15 +
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 nonprobsvy-0.2.1/nonprobsvy/R/data.R                            |    2 
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 nonprobsvy-0.2.1/nonprobsvy/R/method_glm.R                      |    8 
 nonprobsvy-0.2.1/nonprobsvy/R/method_ps.R                       |   91 +++---
 nonprobsvy-0.2.1/nonprobsvy/R/methods.R                         |  145 +++++++++-
 nonprobsvy-0.2.1/nonprobsvy/R/methods_not_implemented.R         |    5 
 nonprobsvy-0.2.1/nonprobsvy/R/nonprob_documentation.R           |    7 
 nonprobsvy-0.2.1/nonprobsvy/R/nonprob_dr.R                      |   28 +
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 nonprobsvy-0.2.1/nonprobsvy/R/summary.R                         |    2 
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 nonprobsvy-0.2.1/nonprobsvy/inst/tinytest/test_check_balance.R  |   46 ++-
 nonprobsvy-0.2.1/nonprobsvy/inst/tinytest/test_ipw.R            |    3 
 nonprobsvy-0.2.1/nonprobsvy/inst/tinytest/test_vars_selection.R |  108 +++----
 nonprobsvy-0.2.1/nonprobsvy/man/check_balance.Rd                |    9 
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 34 files changed, 472 insertions(+), 276 deletions(-)

More information about nonprobsvy at CRAN
Permanent link

Package iRfcb updated to version 0.5.1 with previous version 0.5.0 dated 2025-04-15

Title: Tools for Managing Imaging FlowCytobot (IFCB) Data
Description: A comprehensive suite of tools for managing, processing, and analyzing data from the IFCB. I R FlowCytobot ('iRfcb') supports quality control, geospatial analysis, and preparation of IFCB data for publication in databases like <https://www.gbif.org>, <https://www.obis.org>, <https://emodnet.ec.europa.eu/en>, <https://shark.smhi.se/>, and <https://www.ecotaxa.org>. The package integrates with the MATLAB 'ifcb-analysis' tool, which is described in Sosik and Olson (2007) <doi:10.4319/lom.2007.5.204>, and provides features for working with raw, manually classified, and machine learning–classified image datasets. Key functionalities include image extraction, particle size distribution analysis, taxonomic data handling, and biomass concentration calculations, essential for plankton research.
Author: Anders Torstensson [aut, cre] , Kendra Hayashi [ctb] , Jamie Enslein [ctb], Raphael Kudela [ctb] , Alle Lie [ctb] , Jayme Smith [ctb] , DTO-BioFlow [fnd] , SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>

Diff between iRfcb versions 0.5.0 dated 2025-04-15 and 0.5.1 dated 2025-04-22

 DESCRIPTION                                     |    6 +++---
 MD5                                             |   22 +++++++++++-----------
 NEWS.md                                         |    6 ++++++
 R/ifcb_download_dashboard_data.R                |    2 +-
 R/ifcb_prepare_whoi_plankton.R                  |    2 +-
 inst/CITATION                                   |    4 ++--
 inst/doc/a-general-tutorial.html                |    4 ++--
 inst/doc/qc-tutorial.html                       |    4 ++--
 man/ifcb_download_dashboard_data.Rd             |    2 +-
 man/ifcb_prepare_whoi_plankton.Rd               |    2 +-
 tests/testthat/test-ifcb_extract_biovolumes.R   |   15 +++++++++++++++
 tests/testthat/test-ifcb_summarize_biovolumes.R |    6 ++++++
 12 files changed, 51 insertions(+), 24 deletions(-)

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Package GBOP2 updated to version 0.1.3 with previous version 0.1.2 dated 2025-04-09

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]
Maintainer: Wanni Lei <wanni.lei17@gmail.com>

Diff between GBOP2 versions 0.1.2 dated 2025-04-09 and 0.1.3 dated 2025-04-22

 DESCRIPTION                                    |   12 
 MD5                                            |   39 
 R/GBOP2_maxP_TE.gbop2.R                        |    8 
 R/GBOP2_maxP_dualE.gbop2.R                     |    6 
 R/GBOP2_maxP_singleE.gbop2.R                   |    8 
 R/GBOP2_minSS_TE.gbop2.R                       |   53 
 R/GBOP2_minSS_dualE.gbop2.R                    |    6 
 R/GBOP2_minSS_singleE.gbop2.R                  |    6 
 inst/doc/Vignette.html                         | 3645 +++++++++++++++++++++----
 man/GBOP2_maxP_TE.Rd                           |    2 
 man/GBOP2_maxP_dualE.Rd                        |    2 
 man/GBOP2_maxP_singleE.Rd                      |    8 
 man/GBOP2_minSS_TE.Rd                          |   18 
 man/GBOP2_minSS_dualE.Rd                       |    6 
 man/GBOP2_minSS_singleE.Rd                     |    6 
 src/Calculation2_original.cpp                  |    7 
 src/Calculation_minimizeN_twolambda_update.cpp |   73 
 src/Calculation_twoboundaries_jsm.cpp          |  109 
 src/GBOP2_types.h                              |only
 src/RcppExports.cpp                            |    1 
 vignettes/Vignette.Rmd                         |  101 
 21 files changed, 3378 insertions(+), 738 deletions(-)

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New package typr with initial version 0.0.1
Package: typr
Title: Write and Render 'Typst' Documents
Version: 0.0.1
Description: Compile 'Typst' files using the 'typst-cli' (<https://typst.app>) command line tool. Automatically falls back to rendering via embedded 'Typst' from 'Quarto' (<https://quarto.org>) if 'Typst' is not installed. Includes utilities to check for 'typst-cli' availability and run 'Typst' commands.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, fs, processx, rlang
Depends: R (>= 4.1.0)
Suggests: jsonlite, rstudioapi, testthat (>= 3.0.0)
SystemRequirements: Typst command line tool (<https://github.com/typst/typst>) or Quarto command line tool (<https://github.com/quarto-dev/quarto-cli>).
URL: http://christophertkenny.com/typr/
NeedsCompilation: no
Packaged: 2025-04-19 02:45:00 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2025-04-22 14:20:02 UTC

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Package sgs updated to version 0.3.6 with previous version 0.3.5 dated 2025-03-04

Title: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Description: Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) <doi:10.48550/arXiv.2305.09467>) models. Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) implementation is provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) <doi:10.1080/01621459.2017.1411269>) and group-based OSCAR models (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) are also implemented. All models are available with strong screening rules (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) for computational speed-up.
Author: Fabio Feser [aut, cre]
Maintainer: Fabio Feser <ff120@ic.ac.uk>

Diff between sgs versions 0.3.5 dated 2025-03-04 and 0.3.6 dated 2025-04-22

 DESCRIPTION                        |    8 ++---
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 26 files changed, 138 insertions(+), 98 deletions(-)

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New package lgspline with initial version 0.1.0
Package: lgspline
Title: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
Version: 0.1.0
Description: Implements Lagrangian multiplier smoothing splines for flexible nonparametric regression and function estimation. Provides tools for fitting, prediction, and inference using a constrained optimization approach to enforce smoothness. Supports generalized linear models, Weibull accelerated failure time (AFT) models, quadratic programming problems, and customizable arbitrary correlation structures. Options for fitting in parallel are provided. The method builds upon the framework described by Ezhov et al. (2018) <doi:10.1515/jag-2017-0029> using Lagrangian multipliers to fit cubic splines. For more information on correlation structure estimation, see Searle et al. (2009) <ISBN:978-0470009598>. For quadratic programming and constrained optimization in general, see Nocedal & Wright (2006) <doi:10.1007/978-0-387-40065-5>. For a comprehensive background on smoothing splines, see Wahba (1990) <doi:10.1137/1.9781611970128> and Wood (2006) <ISBN:978-1584884743> [...truncated...]
License: MIT + file LICENSE
Language: en-US
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.7), RcppArmadillo, FNN, RColorBrewer, plotly, quadprog, methods, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), spelling, knitr, rmarkdown, parallel, survival, graphics
URL: https://github.com/matthewlouisdavisBioStat/lgspline
BugReports: https://github.com/matthewlouisdavisBioStat/lgspline/issues
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-04-18 21:35:09 UTC; defgi
Author: Matthew Davis [aut, cre]
Maintainer: Matthew Davis <matthewlouisdavis@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-22 14:20:05 UTC

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New package HiCocietyExample with initial version 1.0.0
Package: HiCocietyExample
Title: Example HiC and Two 'HiCociety' Outputs for Demonstration and Testing
Version: 1.0.0
Maintainer: Sora Yoon <sora.yoon@pennmedicine.upenn.edu>
Description: Provides an example HiC dataset and two examples of 'HiCociety' outputs from a function named hic2community(). The data are intended for demonstration purposes only and kept small enough to be distributed via CRAN.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-15 18:06:48 UTC; sora
Author: Sora Yoon [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-22 14:10:06 UTC

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New package glmfitmiss with initial version 2.1.0
Package: glmfitmiss
Title: Fitting GLMs with Missing Data in Both Responses and Covariates
Description: Fits generalized linear models (GLMs) when there is missing data in both the response and categorical covariates. The functions implement likelihood-based methods using the Expectation and Maximization (EM) algorithm and optionally apply Firth’s bias correction for improved inference. See Pradhan, Nychka, and Bandyopadhyay (2025) <https:>, Maiti and Pradhan (2009) <doi:10.1111/j.1541-0420.2008.01186.x>, Maity, Pradhan, and Das (2019) <doi:10.1080/00031305.2017.1407359> for further methodological details.
Version: 2.1.0
Depends: R (>= 4.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: data.table (>= 1.12.8), dplyr (>= 1.0.0), abind (>= 1.4-5), MASS (>= 7.3-53), brglm2 (>= 0.7.1)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-18 18:04:18 UTC; vivekpradhan
Author: Vivek Pradhan [aut, cre], Douglas Nychka [aut], Soutir Bandyopadhyay [aut]
Maintainer: Vivek Pradhan <vpradhan2009@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-22 14:10:02 UTC

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New package circlizePlus with initial version 0.9.0
Package: circlizePlus
Title: Using 'ggplot2' Feature to Write Readable R Code for Circular Visualization
Version: 0.9.0
Description: A wrapper for 'circlize'. All components are based on classes and objects. Users can use the addition symbol (+) to combine components for a circular visualization with 'ggplot2' style.The package is described in Zhang Z, Cao T, Huang Y and Xia Y (2025) <doi:10.3389/fgene.2025.1535368>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: circlize (>= 0.4.16), R (>= 4.4.0)
Imports: methods, stats
Suggests: png, ape, dendextend, ComplexHeatmap, testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/TianzeLab/circlizePlus, https://tianzelab.github.io/circlizePlus/, https://doi.org/10.3389/fgene.2025.1535368
BugReports: https://github.com/TianzeLab/circlizePlus/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-19 06:23:52 UTC; wu
Author: Tianze Cao [aut, cre] , Zheyu Zhang [aut]
Maintainer: Tianze Cao <hnrcao@qq.com>
Repository: CRAN
Date/Publication: 2025-04-22 14:30:02 UTC

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New package tepr with initial version 1.1.8
Package: tepr
Title: Transcription Elongation Profiling
Version: 1.1.8
Description: The general principle relies on calculating the cumulative signal of nascent RNA sequencing over the gene body of any given gene or transcription unit. 'tepr' can identify transcription attenuation sites by comparing profile to a null model which assumes uniform read density over the entirety of the transcription unit. It can also identify increased or diminished transcription attenuation by comparing two conditions. Besides rigorous statistical testing and high sensitivity, a major feature of 'tepr' is its ability to provide the elongation pattern of each individual gene, including the position of the main attenuation point when such a phenomenon occurs. Using 'tepr', users can visualize and refine genome-wide aggregated analyses of elongation patterns to robustly identify effects specific to subsets of genes. These metrics are suitable for internal comparisons (between genes in each condition) and for studying elongation of the same gene in different conditions or comparing it to a p [...truncated...]
Depends: R (>= 4.4)
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat
Imports: dplyr, parallel, tidyr, tidyselect, ggplot2, pracma, stats, ggrepel, matrixStats, rlang, magrittr, purrr, rtracklayer, GenomicRanges, GenomeInfoDb, valr, tibble, utils, methods
NeedsCompilation: no
Packaged: 2025-04-17 12:21:07 UTC; descoste
Author: Nicolas Descostes [cre], Victor Billon [aut], Gael Cristofari [aut]
Maintainer: Nicolas Descostes <nicolas.descostes@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-22 13:30:02 UTC

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New package simBKMRdata with initial version 0.1.1
Package: simBKMRdata
Title: Helper Functions for Bayesian Kernel Machine Regression
Version: 0.1.1
Description: Provides a suite of helper functions to support Bayesian Kernel Machine Regression (BKMR) analyses in environmental health research. It enables the simulation of realistic multivariate exposure data using Multivariate Skewed Gamma distributions, estimation of distributional parameters by subgroup, and application of adaptive, data-driven thresholds for feature selection via Posterior Inclusion Probabilities (PIPs). It is especially suited for handling skewed exposure data and enhancing the interpretability of BKMR results through principled variable selection. The methodology is shown in Hasan et. al. (2025) <doi:10.1101/2025.04.14.25325822>.
Encoding: UTF-8
License: GPL (>= 3)
Imports: MASS, stats
Suggests: bkmr, fields, gt, quarto, testthat (>= 3.0.0), tidyverse
VignetteBuilder: quarto
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-17 18:50:33 UTC; tanvir
Author: Kazi Tanvir Hasan [aut, cre] , Gabriel Odom [aut] , Roberto Lucchini [ctb]
Maintainer: Kazi Tanvir Hasan <khasa006@fiu.edu>
Repository: CRAN
Date/Publication: 2025-04-22 13:40:04 UTC

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New package rob with initial version 0.1.0
Package: rob
Title: Run Orders with Assignment-Expansion Method
Version: 0.1.0
Maintainer: Romario Conto <racontol@unal.edu.co>
Description: It enables the identification of sequentialexperimentation orders for factorial designs that jointly reduce bias and the number of level changes. The method used is that presented by Conto et al. (2025), known as the Assignment-Expansion method, which consists of adapting the linear programming assignment problem to generate balanced experimentation orders. The properties identified are then generalized to designs with a larger number of factors and levels using the expansion method proposed by Correa et al. (2009) and later generalized by Bhowmik et al. (2017). For more details see Conto et al. (2025) <doi:10.1016/j.cie.2024.110844>, Correa et al. (2009) <doi:10.1080/02664760802499337> and Bhowmik et al. (2017) <doi:10.1080/03610926.2016.1152490>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/RomarioContoL/rob
BugReports: https://github.com/RomarioContoL/rob/issues
Imports: FMC, minimalRSD
NeedsCompilation: no
Packaged: 2025-04-18 04:16:48 UTC; pc
Author: Romario Conto [aut, cre] , Alexander Correa [ctb], Olga Usuga [ctb], Pablo Maya [ctb]
Repository: CRAN
Date/Publication: 2025-04-22 13:50:02 UTC

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New package qcrlscR with initial version 0.1.3
Package: qcrlscR
Title: Quality Control–based Robust LOESS Signal Correction
Version: 0.1.3
Description: An R implementation of quality control–based robust LOESS(local polynomial regression fitting) signal correction for metabolomics data analysis, described in Dunn, W., Broadhurst, D., Begley, P. et al. (2011) <doi:10.1038/nprot.2011.335>. The optimisation of LOESS's span parameter using generalized cross-validation (GCV) is provided as an option. In addition to signal correction, 'qcrlscR' includes some utility functions like batch shifting and data filtering.
License: GPL (>= 2)
Depends: R (>= 3.0.0)
URL: https://github.com/wanchanglin/qcrlscR
BugReports: https://github.com/wanchanglin/qcrlscR/issues
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
ZipData: No
NeedsCompilation: no
Packaged: 2025-04-17 16:17:18 UTC; wanch
Author: Wanchang Lin [aut, cre], Warwick Dunn [aut]
Maintainer: Wanchang Lin <wanchanglin@hotmail.com>
Repository: CRAN
Date/Publication: 2025-04-22 13:20:02 UTC

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New package lsoda with initial version 1.0
Package: lsoda
Title: 'C++' Header Library for Ordinary Differential Equations
Version: 1.0
Description: A 'C++' header library for using the 'libsoda-cxx' library with R. The 'C++' header reimplements the 'lsoda' function from the 'ODEPACK' library for solving initial value problems for first order ordinary differential equations (Hindmarsh, 1982; <https://computing.llnl.gov/sites/default/files/ODEPACK_pub1_u88007.pdf>). The 'C++' header can be used by other R packages by linking against this package. The 'C++' functions can be called inline using 'Rcpp'. Finally, the package provides an 'ode' function to call from R.
License: MIT + file LICENSE
URL: https://github.com/mclements/lsoda
BugReports: https://github.com/mclements/lsoda/issues
Imports: Rcpp (>= 1.0.12)
Suggests: deSolve, RcppArmadillo, RcppEigen, microbenchmark
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-04-18 11:11:42 UTC; marcle
Author: Mark Clements [aut, cre], Dilawar Singh [ctb], Heng Li [ctb], Peter N. Brown [ctb], George D. Byrne [ctb], Alan C. Hindmarsh [ctb], Cleve Moler [ctb], Linda R. Petzold [ctb]
Maintainer: Mark Clements <mark.clements@ki.se>
Repository: CRAN
Date/Publication: 2025-04-22 14:00:02 UTC

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New package GWmodelVis with initial version 1.0.0
Package: GWmodelVis
Title: Visualization Tools for Geographically Weighted Models
Version: 1.0.0
Date: 2025-3-31
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>
Repository: CRAN
Description: The increasing popularity of geographically weighted (GW) techniques has resulted in the development of several R packages, such as 'GWmodel'. To facilate their usages, 'GWmodelVis' provides a 'shiny'-based interactive visualization toolkit for geographically weighted (GW) models. It includes a number of visualization tools, including dynamic mapping of parameter surfaces, statistical visualization, sonification and exporting videos via 'FFmpeg'.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: GWmodel, sf, ggspatial, shiny, sp, shinyjs, shinydashboard, shinyFiles, shinyWidgets, signal, tuneR, dplyr, DT, av, servr, leaflet.extras, leaflet
Suggests: knitr, testthat
URL: http://gwmodel.whu.edu.cn/
SystemRequirements: GEOS (>= 3.8.0), FFmpeg (for video export)
NeedsCompilation: no
Packaged: 2025-04-18 03:28:28 UTC; binbi
Author: Binbin Lu [aut, cre], Huimei Wang [aut]
Date/Publication: 2025-04-22 13:50:05 UTC

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Package BacenAPI updated to version 0.3.1 with previous version 0.2.0 dated 2025-03-31

Title: Data Collection from the Central Bank of Brazil
Description: Provides tools to facilitate the access and processing of data from the Central Bank of Brazil API. The package allows users to retrieve economic and financial data, transforming them into usable tabular formats for further analysis. The data is obtained from the Central Bank of Brazil API: <https://api.bcb.gov.br/dados/serie/bcdata.sgs.{series_code}/dados?formato=json&dataInicial={start_date}&dataFinal={end_date}>.
Author: Paulo Icaro [aut], Lissandro Sousa [cre, aut], Francisco Gildemir Ferreira da Silva [ths, aut]
Maintainer: Lissandro Sousa <lisandrosousa54@gmail.com>

Diff between BacenAPI versions 0.2.0 dated 2025-03-31 and 0.3.1 dated 2025-04-22

 BacenAPI-0.2.0/BacenAPI/man/bacen_api.Rd    |only
 BacenAPI-0.3.1/BacenAPI/DESCRIPTION         |   10 +-
 BacenAPI-0.3.1/BacenAPI/MD5                 |   21 ++---
 BacenAPI-0.3.1/BacenAPI/NAMESPACE           |    1 
 BacenAPI-0.3.1/BacenAPI/R/bacen_api.R       |  116 +++++++++-------------------
 BacenAPI-0.3.1/BacenAPI/R/bacen_search.R    |    9 --
 BacenAPI-0.3.1/BacenAPI/R/bacen_series.R    |   92 +++++++++++-----------
 BacenAPI-0.3.1/BacenAPI/R/bacen_url.R       |   13 ---
 BacenAPI-0.3.1/BacenAPI/README.md           |   52 +-----------
 BacenAPI-0.3.1/BacenAPI/man/bacen_search.Rd |    3 
 BacenAPI-0.3.1/BacenAPI/man/bacen_series.Rd |   64 +++++++--------
 BacenAPI-0.3.1/BacenAPI/man/bacen_url.Rd    |   56 ++++++-------
 12 files changed, 170 insertions(+), 267 deletions(-)

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Package xgboost updated to version 1.7.10.1 with previous version 1.7.9.1 dated 2025-03-26

Title: Extreme Gradient Boosting
Description: Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.
Author: Tianqi Chen [aut], Tong He [aut], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut] , Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifen [...truncated...]
Maintainer: Jiaming Yuan <jm.yuan@outlook.com>

Diff between xgboost versions 1.7.9.1 dated 2025-03-26 and 1.7.10.1 dated 2025-04-22

 DESCRIPTION                       |    8 -
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 10 files changed, 224 insertions(+), 124 deletions(-)

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Package guideR updated to version 0.4.0 with previous version 0.3.0 dated 2025-03-29

Title: Miscellaneous Statistical Functions Used in 'guide-R'
Description: Companion package for the manual 'guide-R : Guide pour l’analyse de données d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>. 'guideR' implements miscellaneous functions introduced in 'guide-R' to facilitate statistical analysis and manipulation of survey data.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between guideR versions 0.3.0 dated 2025-03-29 and 0.4.0 dated 2025-04-22

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 16 files changed, 204 insertions(+), 46 deletions(-)

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Package ewp updated to version 0.1.2 with previous version 0.1.1 dated 2024-06-26

Title: An Empirical Model for Underdispersed Count Data
Description: Count regression models for underdispersed small counts (lambda < 20) based on the three-parameter exponentially weighted Poisson distribution of Ridout & Besbeas (2004) <DOI:10.1191/1471082X04st064oa>.
Author: Philipp Boersch-Supan [aut, cre] , James Clarke [aut]
Maintainer: Philipp Boersch-Supan <pboesu@gmail.com>

Diff between ewp versions 0.1.1 dated 2024-06-26 and 0.1.2 dated 2025-04-22

 DESCRIPTION                        |   10 
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 NAMESPACE                          |    3 
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Package eplusr updated to version 0.16.3 with previous version 0.16.2 dated 2023-08-25

Title: A Toolkit for Using Whole Building Simulation Program 'EnergyPlus'
Description: A rich toolkit of using the whole building simulation program 'EnergyPlus'(<https://energyplus.net>), which enables programmatic navigation, modification of 'EnergyPlus' models and makes it less painful to do parametric simulations and analysis.
Author: Hongyuan Jia [aut, cre, cph] , Adrian Chong [aut]
Maintainer: Hongyuan Jia <hongyuanjia@cqust.edu.cn>

Diff between eplusr versions 0.16.2 dated 2023-08-25 and 0.16.3 dated 2025-04-22

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Package SciViews updated to version 0.9-13.2 with previous version 0.9-13.1 dated 2019-11-16

Title: SciViews - Main package
Description: Functions to install SciViews additions to R, and more tools.
Author: Philippe Grosjean [aut, cre]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

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Package gamm4 updated to version 0.2-7 with previous version 0.2-6 dated 2020-04-03

Title: Generalized Additive Mixed Models using 'mgcv' and 'lme4'
Description: Estimate generalized additive mixed models via a version of function gamm() from 'mgcv', using 'lme4' for estimation.
Author: Simon Wood [aut, cre], Fabian Scheipl [aut]
Maintainer: Simon Wood <simon.wood@r-project.org>

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Package wrappedtools updated to version 0.9.7 with previous version 0.9.6 dated 2024-10-10

Title: Useful Wrappers Around Commonly Used Functions
Description: The main functionalities of 'wrappedtools' are: adding backticks to variable names; rounding to desired precision with special case for p-values; selecting columns based on pattern and storing their position, name, and backticked name; computing and formatting of descriptive statistics (e.g. mean±SD), comparing groups and creating publication-ready tables with descriptive statistics and p-values; creating specialized plots for correlation matrices. Functions were mainly written for my own daily work or teaching, but may be of use to others as well.
Author: Andreas Busjahn [cre, aut] , Franziska Eidloth [aut], Bilal Asser [aut]
Maintainer: Andreas Busjahn <andreas@busjahn.net>

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Package rtables.officer updated to version 0.1.0 with previous version 0.0.2 dated 2025-01-17

Title: Exporting Tools for 'rtables'
Description: Designed to create and display complex tables with R, the 'rtables' R package allows cells in an 'rtables' object to contain any high-dimensional data structure, which can then be displayed with cell-specific formatting instructions. Additionally, the 'rtables.officer' package supports export formats related to the Microsoft Office software suite, including Microsoft Word ('docx') and Microsoft PowerPoint ('pptx').
Author: Gabriel Becker [ctb], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [aut] , Joe Zhu [aut, cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package tosca updated to version 0.3-4 with previous version 0.3-2 dated 2021-10-28

Title: Tools for Statistical Content Analysis
Description: A framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the 'lda' package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided. Sample data for the vignette is included in the toscaData package, which is available on gitHub: <https://github.com/Docma-TU/toscaData>.
Author: Lars Koppers [aut, cre] , Jonas Rieger [aut] , Karin Boczek [ctb] , Gerret von Nordheim [ctb]
Maintainer: Lars Koppers <koppers@statistik.tu-dortmund.de>

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Package pivottabler updated to version 1.5.6 with previous version 1.5.5 dated 2023-10-01

Title: Create Pivot Tables
Description: Create regular pivot tables with just a few lines of R. More complex pivot tables can also be created, e.g. pivot tables with irregular layouts, multiple calculations and/or derived calculations based on multiple data frames. Pivot tables are constructed using R only and can be written to a range of output formats (plain text, 'HTML', 'Latex' and 'Excel'), including with styling/formatting.
Author: Christopher Bailiss [aut, cre]
Maintainer: Christopher Bailiss <cbailiss@gmail.com>

Diff between pivottabler versions 1.5.5 dated 2023-10-01 and 1.5.6 dated 2025-04-22

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New package rrcovNA with initial version 0.5-3
Package: rrcovNA
Title: Scalable Robust Estimators with High Breakdown Point for Incomplete Data
Version: 0.5-3
VersionNote: Released 0.5-2 on 2024-08-17 on CRAN
Description: Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point for Incomplete Data (missing values) (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>).
Maintainer: Valentin Todorov <valentin.todorov@chello.at>
Depends: R (>= 2.10), rrcov (>= 1.3.7), robustbase (>= 0.92.1), methods
Imports: stats4, lattice, norm, cluster
Suggests: grid
LazyLoad: yes
License: GPL (>= 2)
URL: https://github.com/valentint/rrcovNA
BugReports: https://github.com/valentint/rrcovNA/issues
Packaged: 2025-04-21 19:32:44 UTC; valen
NeedsCompilation: yes
Author: Valentin Todorov [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-22 07:30:02 UTC

More information about rrcovNA at CRAN
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Package GeDS updated to version 0.3.1 with previous version 0.3.0 dated 2025-04-16

Title: Geometrically Designed Spline Regression
Description: Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geometrically Designed (GeD) Splines. GeDS regression is a non-parametric method inspired by geometric principles, for fitting spline regression models with variable knots in one or two independent variables. It efficiently estimates the number of knots and their positions, as well as the spline order, assuming the response variable follows a distribution from the exponential family. GeDS models integrate the broader category of Generalized (Non-)Linear Models, offering a flexible approach to modeling complex relationships. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2023) <doi:10.1016/j.amc.2022.127493>. Further extending its capabilities, GeDS's implementation includes Generalized Additive Models (GAM) and Functional Gradient Boosting (FGB), enabling versatile multivariate predictor modeling, as discuss [...truncated...]
Author: Dimitrina S. Dimitrova [aut], Vladimir K. Kaishev [aut], Andrea Lattuada [aut], Emilio L. Saenz Guillen [aut, cre], Richard J. Verrall [aut]
Maintainer: Emilio L. Saenz Guillen <Emilio.Saenz-Guillen@citystgeorges.ac.uk>

Diff between GeDS versions 0.3.0 dated 2025-04-16 and 0.3.1 dated 2025-04-22

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Package fluxible updated to version 1.1.0 with previous version 1.0.0 dated 2025-02-13

Title: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup
Description: Processes the raw data from closed loop flux chamber (or tent) setups into ecosystem gas fluxes usable for analysis. It goes from a data frame of gas concentration over time (which can contain several measurements) and a meta data file indicating which measurement was done when, to a data frame of ecosystem gas fluxes including quality diagnostics. Functions provided include different models (exponential as described in Zhao et al (2018) <doi:10.1016/j.agrformet.2018.08.022>, quadratic and linear) to estimate the fluxes from the raw data, quality assessment, plotting for visual check and calculation of fluxes based on the setup specific parameters (chamber size, plot area, ...).
Author: Joseph Gaudard [aut, cre] , Richard James Telford [aut]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>

Diff between fluxible versions 1.0.0 dated 2025-02-13 and 1.1.0 dated 2025-04-22

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 fluxible-1.1.0/fluxible/DESCRIPTION                                                                       |   10 
 fluxible-1.1.0/fluxible/MD5                                                                               |  232 
 fluxible-1.1.0/fluxible/NAMESPACE                                                                         |   10 
 fluxible-1.1.0/fluxible/NEWS.md                                                                           |   34 
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 fluxible-1.1.0/fluxible/R/flux_gep.R                                                                      |   25 
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 fluxible-1.1.0/fluxible/README.md                                                                         |  120 
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 fluxible-1.1.0/fluxible/vignettes/biblio_phd_zot.bib                                                      |  743 ++
 fluxible-1.1.0/fluxible/vignettes/data-prep.Rmd                                                           |    6 
 fluxible-1.1.0/fluxible/vignettes/fluxible.Rmd                                                            |    2 
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More information about fluxible at CRAN
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Package synlik (with last version 0.1.7) was removed from CRAN

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

2025-03-31 0.1.7
2023-03-02 0.1.6
2022-04-14 0.1.5
2021-05-25 0.1.4
2021-05-12 0.1.3
2018-05-23 0.1.2
2014-06-08 0.1.1
2014-03-20 0.1.0

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Package CornerstoneR (with last version 2.0.2) was removed from CRAN

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

2020-08-28 2.0.2
2020-06-02 2.0.1
2020-05-17 2.0.0
2019-02-12 1.1.0
2019-02-12 1.1.1
2018-12-18 1.0.1
2018-12-16 1.0.0

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Package rankdifferencetest updated to version 2025.4.21 with previous version 2021-11-25 dated 2021-11-29

Title: Kornbrot's Rank Difference Test
Description: Implements Kornbrot's rank difference test as described in <doi:10.1111/j.2044-8317.1990.tb00939.x>. This method is a modified Wilcoxon signed-rank test which produces consistent and meaningful results for ordinal or monotonically-transformed data.
Author: Brett Klamer [aut, cre]
Maintainer: Brett Klamer <code@brettklamer.com>

Diff between rankdifferencetest versions 2021-11-25 dated 2021-11-29 and 2025.4.21 dated 2025-04-22

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Package LSX updated to version 1.4.3 with previous version 1.4.2 dated 2025-01-08

Title: Semi-Supervised Algorithm for Document Scaling
Description: A word embeddings-based semi-supervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package irtDemo updated to version 0.1.5 with previous version 0.1.4 dated 2018-04-05

Title: Item Response Theory Demo Collection
Description: Includes a collection of shiny applications to demonstrate or to explore fundamental item response theory (IRT) concepts such as estimation, scoring, and multidimensional IRT models.
Author: Metin Bulus [aut, cre], Wes Bonifay [aut, ctb]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

Diff between irtDemo versions 0.1.4 dated 2018-04-05 and 0.1.5 dated 2025-04-22

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