Wed, 12 Feb 2025

Package dsem updated to version 1.5.0 with previous version 1.4.1 dated 2025-02-01

Title: Fit Dynamic Structural Equation Models
Description: Applies dynamic structural equation models to time-series data with generic and simplified specification for simultaneous and lagged effects. Methods are described in Thorson et al. (2024) "Dynamic structural equation models synthesize ecosystem dynamics constrained by ecological mechanisms."
Author: James Thorson [aut, cre] , Maurice Goodman [ctb] , Wouter van der Bijl [ctb]
Maintainer: James Thorson <James.Thorson@noaa.gov>

Diff between dsem versions 1.4.1 dated 2025-02-01 and 1.5.0 dated 2025-02-12

 DESCRIPTION                         |   22 +
 MD5                                 |   50 ++-
 NAMESPACE                           |    8 
 NEWS.md                             |   12 
 R/dsem.R                            |   35 +-
 R/dsemRTMB.R                        |   13 
 R/make_dsem_ram.R                   |    9 
 R/make_matrices.R                   |    7 
 R/read_model.R                      |    2 
 R/stepwise_selection.R              |   37 ++
 R/test_dsep.R                       |only
 R/utility.R                         |   54 ++++
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 man/dsem.Rd                         |    6 
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 30 files changed, 510 insertions(+), 296 deletions(-)

More information about dsem at CRAN
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Package Argentum updated to version 1.0.0 with previous version 0.5.1 dated 2024-09-30

Title: Access and Import WMS and WFS Data from Argentine Organizations
Description: Provides functions to retrieve information from Web Feature Service (WFS) and Web Map Service (WMS) layers from various Argentine organizations and import them into R for further analysis. WFS and WMS are standardized protocols for serving georeferenced map data over the internet. For more information on these services, see <https://www.ogc.org/publications/standard/wfs/> and <https://www.ogc.org/publications/standard/wms/>.
Author: Thomas Artopoulos [aut, cre]
Maintainer: Thomas Artopoulos <thomas.artopoulos@gmail.com>

Diff between Argentum versions 0.5.1 dated 2024-09-30 and 1.0.0 dated 2025-02-12

 DESCRIPTION                                |   20 ++++----
 MD5                                        |   35 ++++++++++----
 NAMESPACE                                  |    2 
 R/download_layers.R                        |only
 R/interactive_download.R                   |only
 README.md                                  |only
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 man/argentum_select_organization.Rd        |   72 ++++++++++++++---------------
 man/clean_url.Rd                           |   36 +++++++-------
 tests/testthat.R                           |   24 ++++-----
 tests/testthat/test-interactive-download.r |only
 vignettes                                  |only
 20 files changed, 230 insertions(+), 209 deletions(-)

More information about Argentum at CRAN
Permanent link

Package PhySortR updated to version 1.0.9 with previous version 1.0.8 dated 2018-08-06

Title: A Fast, Flexible Tool for Sorting Phylogenetic Trees
Description: Screens and sorts phylogenetic trees in both traditional and extended Newick format. Allows for the fast and flexible screening (within a tree) of Exclusive clades that comprise only the target taxa and/or Non- Exclusive clades that includes a defined portion of non-target taxa.
Author: Timothy Stephens [aut, cre, trl] , Debashish Bhattacharya [aut], Mark Ragan [aut], Cheong Xin Chan [aut, cph]
Maintainer: Timothy Stephens <timothy.stephens1@uqconnect.edu.au>

Diff between PhySortR versions 1.0.8 dated 2018-08-06 and 1.0.9 dated 2025-02-12

 DESCRIPTION      |   14 ++++-----
 MD5              |   10 +++---
 NAMESPACE        |    1 
 R/sortTrees.R    |   83 ++++++++++++++++++++++++++++++++++++++++++++++---------
 man/PhySortR.Rd  |    8 -----
 man/sortTrees.Rd |   38 ++++++++++++++++++++++---
 6 files changed, 118 insertions(+), 36 deletions(-)

More information about PhySortR at CRAN
Permanent link

Package sits updated to version 1.5.2 with previous version 1.5.1 dated 2024-08-19

Title: Satellite Image Time Series Analysis for Earth Observation Data Cubes
Description: An end-to-end toolkit for land use and land cover classification using big Earth observation data. Builds satellite image data cubes from cloud collections. Supports visualization methods for images and time series and smoothing filters for dealing with noisy time series. Includes functions for quality assessment of training samples using self-organized maps and to reduce training samples imbalance. Provides machine learning algorithms including support vector machines, random forests, extreme gradient boosting, multi-layer perceptrons, temporal convolution neural networks, and temporal attention encoders. Performs efficient classification of big Earth observation data cubes and includes functions for post-classification smoothing based on Bayesian inference. Enables best practices for estimating area and assessing accuracy of land change. Minimum recommended requirements: 16 GB RAM and 4 CPU dual-core.
Author: Rolf Simoes [aut], Gilberto Camara [aut, cre, ths], Felipe Souza [aut], Felipe Carlos [aut], Lorena Santos [ctb], Karine Ferreira [ctb, ths], Charlotte Pelletier [ctb], Pedro Andrade [ctb], Alber Sanchez [ctb], Estefania Pizarro [ctb], Gilberto Queir [...truncated...]
Maintainer: Gilberto Camara <gilberto.camara.inpe@gmail.com>

Diff between sits versions 1.5.1 dated 2024-08-19 and 1.5.2 dated 2025-02-12

 sits-1.5.1/sits/R/api_raster_terra.R                               |only
 sits-1.5.1/sits/R/api_s2tile.R                                     |only
 sits-1.5.1/sits/R/api_tmap_v3.R                                    |only
 sits-1.5.1/sits/R/sits_active_learning.R                           |only
 sits-1.5.1/sits/inst/extdata/detect_change                         |only
 sits-1.5.1/sits/inst/extdata/s2-tiles                              |only
 sits-1.5.1/sits/src/Makevars                                       |only
 sits-1.5.1/sits/tests/testthat/Rplots.pdf                          |only
 sits-1.5.2/sits/DESCRIPTION                                        |  112 -
 sits-1.5.2/sits/MD5                                                |  417 ++--
 sits-1.5.2/sits/NAMESPACE                                          |   91 
 sits-1.5.2/sits/NEWS.md                                            |   21 
 sits-1.5.2/sits/R/RcppExports.R                                    |   16 
 sits-1.5.2/sits/R/api_accuracy.R                                   |   65 
 sits-1.5.2/sits/R/api_apply.R                                      |    5 
 sits-1.5.2/sits/R/api_bayts.R                                      |only
 sits-1.5.2/sits/R/api_check.R                                      |  179 +
 sits-1.5.2/sits/R/api_chunks.R                                     |   23 
 sits-1.5.2/sits/R/api_classify.R                                   |   95 
 sits-1.5.2/sits/R/api_colors.R                                     |   24 
 sits-1.5.2/sits/R/api_combine_predictions.R                        |   10 
 sits-1.5.2/sits/R/api_conf.R                                       |   78 
 sits-1.5.2/sits/R/api_crop.R                                       |   74 
 sits-1.5.2/sits/R/api_csv.R                                        |   45 
 sits-1.5.2/sits/R/api_cube.R                                       |  281 ++
 sits-1.5.2/sits/R/api_data.R                                       |  179 +
 sits-1.5.2/sits/R/api_detect_change.R                              |only
 sits-1.5.2/sits/R/api_download.R                                   |  222 --
 sits-1.5.2/sits/R/api_dtw.R                                        |only
 sits-1.5.2/sits/R/api_gdal.R                                       |   57 
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 sits-1.5.2/sits/R/api_jobs.R                                       |   81 
 sits-1.5.2/sits/R/api_kohonen.R                                    |   12 
 sits-1.5.2/sits/R/api_mask.R                                       |only
 sits-1.5.2/sits/R/api_merge.R                                      |  368 +++
 sits-1.5.2/sits/R/api_ml_model.R                                   |   30 
 sits-1.5.2/sits/R/api_mosaic.R                                     |   19 
 sits-1.5.2/sits/R/api_plot_raster.R                                |  330 +--
 sits-1.5.2/sits/R/api_plot_time_series.R                           |    4 
 sits-1.5.2/sits/R/api_plot_vector.R                                |    8 
 sits-1.5.2/sits/R/api_preconditions.R                              |only
 sits-1.5.2/sits/R/api_raster.R                                     |  501 +++-
 sits-1.5.2/sits/R/api_raster_sub_image.R                           |   16 
 sits-1.5.2/sits/R/api_regularize.R                                 |  293 ++
 sits-1.5.2/sits/R/api_request_httr2.R                              |   13 
 sits-1.5.2/sits/R/api_roi.R                                        |   25 
 sits-1.5.2/sits/R/api_samples.R                                    |   15 
 sits-1.5.2/sits/R/api_sf.R                                         |   40 
 sits-1.5.2/sits/R/api_smooth.R                                     |   53 
 sits-1.5.2/sits/R/api_som.R                                        |  100 
 sits-1.5.2/sits/R/api_source.R                                     |   20 
 sits-1.5.2/sits/R/api_source_hls.R                                 |   68 
 sits-1.5.2/sits/R/api_source_mpc.R                                 |    7 
 sits-1.5.2/sits/R/api_source_sdc.R                                 |   39 
 sits-1.5.2/sits/R/api_space_time_operations.R                      |   29 
 sits-1.5.2/sits/R/api_stac.R                                       |   19 
 sits-1.5.2/sits/R/api_tile.R                                       |   30 
 sits-1.5.2/sits/R/api_timeline.R                                   |   23 
 sits-1.5.2/sits/R/api_tmap.R                                       |  391 +++
 sits-1.5.2/sits/R/api_torch.R                                      |  133 -
 sits-1.5.2/sits/R/api_ts.R                                         |   14 
 sits-1.5.2/sits/R/api_uncertainty.R                                |    2 
 sits-1.5.2/sits/R/api_utils.R                                      |   17 
 sits-1.5.2/sits/R/api_validate.R                                   |only
 sits-1.5.2/sits/R/api_view.R                                       | 1003 +++++-----
 sits-1.5.2/sits/R/sits_accuracy.R                                  |   44 
 sits-1.5.2/sits/R/sits_add_base_cube.R                             |    2 
 sits-1.5.2/sits/R/sits_apply.R                                     |   24 
 sits-1.5.2/sits/R/sits_bands.R                                     |    3 
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 sits-1.5.2/sits/R/sits_bbox.R                                      |   11 
 sits-1.5.2/sits/R/sits_classify.R                                  |  273 +-
 sits-1.5.2/sits/R/sits_clean.R                                     |   10 
 sits-1.5.2/sits/R/sits_cluster.R                                   |   27 
 sits-1.5.2/sits/R/sits_combine_predictions.R                       |    7 
 sits-1.5.2/sits/R/sits_config.R                                    |    3 
 sits-1.5.2/sits/R/sits_csv.R                                       |   49 
 sits-1.5.2/sits/R/sits_cube.R                                      |  344 ++-
 sits-1.5.2/sits/R/sits_cube_copy.R                                 |   70 
 sits-1.5.2/sits/R/sits_detect_change.R                             |only
 sits-1.5.2/sits/R/sits_detect_change_method.R                      |only
 sits-1.5.2/sits/R/sits_dtw.R                                       |only
 sits-1.5.2/sits/R/sits_get_class.R                                 |only
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 sits-1.5.2/sits/R/sits_histogram.R                                 |   12 
 sits-1.5.2/sits/R/sits_imputation.R                                |   52 
 sits-1.5.2/sits/R/sits_label_classification.R                      |   25 
 sits-1.5.2/sits/R/sits_lighttae.R                                  |  112 -
 sits-1.5.2/sits/R/sits_merge.R                                     |  171 -
 sits-1.5.2/sits/R/sits_mixture_model.R                             |   36 
 sits-1.5.2/sits/R/sits_mlp.R                                       |  128 -
 sits-1.5.2/sits/R/sits_patterns.R                                  |    4 
 sits-1.5.2/sits/R/sits_plot.R                                      |  621 ++++--
 sits-1.5.2/sits/R/sits_reclassify.R                                |   35 
 sits-1.5.2/sits/R/sits_reduce.R                                    |   22 
 sits-1.5.2/sits/R/sits_reduce_imbalance.R                          |only
 sits-1.5.2/sits/R/sits_regularize.R                                |  269 ++
 sits-1.5.2/sits/R/sits_sample_functions.R                          |  526 +++--
 sits-1.5.2/sits/R/sits_segmentation.R                              |   34 
 sits-1.5.2/sits/R/sits_select.R                                    |   21 
 sits-1.5.2/sits/R/sits_sf.R                                        |    2 
 sits-1.5.2/sits/R/sits_smooth.R                                    |   91 
 sits-1.5.2/sits/R/sits_som.R                                       |    4 
 sits-1.5.2/sits/R/sits_summary.R                                   |  239 +-
 sits-1.5.2/sits/R/sits_tae.R                                       |  115 -
 sits-1.5.2/sits/R/sits_tempcnn.R                                   |  130 -
 sits-1.5.2/sits/R/sits_timeline.R                                  |    2 
 sits-1.5.2/sits/R/sits_train.R                                     |    7 
 sits-1.5.2/sits/R/sits_tuning.R                                    |   46 
 sits-1.5.2/sits/R/sits_uncertainty.R                               |   29 
 sits-1.5.2/sits/R/sits_validate.R                                  |  105 -
 sits-1.5.2/sits/R/sits_variance.R                                  |   17 
 sits-1.5.2/sits/R/sits_view.R                                      |  610 +++++-
 sits-1.5.2/sits/R/zzz.R                                            |   18 
 sits-1.5.2/sits/inst/WORDLIST                                      |   38 
 sits-1.5.2/sits/inst/extdata/config.yml                            |    3 
 sits-1.5.2/sits/inst/extdata/config_colors.yml                     |   15 
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 sits-1.5.2/sits/inst/extdata/sources/config_source_bdc.yml         |   23 
 sits-1.5.2/sits/inst/extdata/sources/config_source_cdse.yml        |   24 
 sits-1.5.2/sits/inst/extdata/sources/config_source_chile.yml       |    9 
 sits-1.5.2/sits/inst/extdata/sources/config_source_deafrica.yml    |   53 
 sits-1.5.2/sits/inst/extdata/sources/config_source_deaustralia.yml |   19 
 sits-1.5.2/sits/inst/extdata/sources/config_source_hls.yml         |    2 
 sits-1.5.2/sits/inst/extdata/sources/config_source_mpc.yml         |   90 
 sits-1.5.2/sits/inst/extdata/sources/config_source_planet.yaml     |    9 
 sits-1.5.2/sits/inst/extdata/sources/config_source_sdc.yml         |   91 
 sits-1.5.2/sits/inst/extdata/sources/config_source_terrascope.yml  |    3 
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 sits-1.5.2/sits/man/plot.vector_cube.Rd                            |    5 
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 sits-1.5.2/sits/man/sits_accuracy.Rd                               |    5 
 sits-1.5.2/sits/man/sits_as_sf.Rd                                  |    6 
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 sits-1.5.2/sits/man/sits_cluster_dendro.Rd                         |   13 
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 sits-1.5.2/sits/man/sits_cube.Rd                                   |  314 +--
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 sits-1.5.2/sits/man/sits_mixture_model.Rd                          |    9 
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 sits-1.5.2/sits/man/sits_reduce_imbalance.Rd                       |    5 
 sits-1.5.2/sits/man/sits_regularize.Rd                             |   58 
 sits-1.5.2/sits/man/sits_segment.Rd                                |    4 
 sits-1.5.2/sits/man/sits_select.Rd                                 |   13 
 sits-1.5.2/sits/man/sits_slic.Rd                                   |    2 
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 sits-1.5.2/sits/man/sits_validate.Rd                               |   30 
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 sits-1.5.2/sits/man/summary.class_cube.Rd                          |    4 
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 sits-1.5.2/sits/src/dtw.cpp                                        |   11 
 sits-1.5.2/sits/src/smooth_bayes.cpp                               |   35 
 sits-1.5.2/sits/tests/testthat/test-active_learning.R              |    6 
 sits-1.5.2/sits/tests/testthat/test-apply.R                        |  160 -
 sits-1.5.2/sits/tests/testthat/test-bands.R                        |    2 
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 sits-1.5.2/sits/tests/testthat/test-clustering.R                   |   29 
 sits-1.5.2/sits/tests/testthat/test-color.R                        |   30 
 sits-1.5.2/sits/tests/testthat/test-cube-bdc.R                     |   34 
 sits-1.5.2/sits/tests/testthat/test-cube-cdse.R                    |   10 
 sits-1.5.2/sits/tests/testthat/test-cube-deafrica.R                |   20 
 sits-1.5.2/sits/tests/testthat/test-cube-deaustralia.R             |   12 
 sits-1.5.2/sits/tests/testthat/test-cube-hls.R                     |    6 
 sits-1.5.2/sits/tests/testthat/test-cube-mpc.R                     |   65 
 sits-1.5.2/sits/tests/testthat/test-cube.R                         |  225 +-
 sits-1.5.2/sits/tests/testthat/test-cube_copy.R                    |  176 +
 sits-1.5.2/sits/tests/testthat/test-data.R                         |    2 
 sits-1.5.2/sits/tests/testthat/test-file_info.R                    |    2 
 sits-1.5.2/sits/tests/testthat/test-get_probs_class.R              |only
 sits-1.5.2/sits/tests/testthat/test-internals.R                    |    6 
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 sits-1.5.2/sits/tests/testthat/test-mixture_model.R                |   16 
 sits-1.5.2/sits/tests/testthat/test-ml.R                           |    4 
 sits-1.5.2/sits/tests/testthat/test-mosaic.R                       |   16 
 sits-1.5.2/sits/tests/testthat/test-plot.R                         |  134 -
 sits-1.5.2/sits/tests/testthat/test-raster.R                       |   12 
 sits-1.5.2/sits/tests/testthat/test-regularize.R                   |   32 
 sits-1.5.2/sits/tests/testthat/test-roi.R                          |   20 
 sits-1.5.2/sits/tests/testthat/test-samples.R                      |   20 
 sits-1.5.2/sits/tests/testthat/test-segmentation.R                 |   28 
 sits-1.5.2/sits/tests/testthat/test-smooth.R                       |only
 sits-1.5.2/sits/tests/testthat/test-summary.R                      |    3 
 sits-1.5.2/sits/tests/testthat/test-tibble.R                       |   14 
 sits-1.5.2/sits/tests/testthat/test-tuning.R                       |    2 
 sits-1.5.2/sits/tests/testthat/test-variance.R                     |    2 
 sits-1.5.2/sits/tests/testthat/test-view.R                         |   32 
 223 files changed, 8494 insertions(+), 4757 deletions(-)

More information about sits at CRAN
Permanent link

Package saros updated to version 1.5.1 with previous version 1.5.0 dated 2025-01-10

Title: Semi-Automatic Reporting of Ordinary Surveys
Description: Offers a systematic way for conditional reporting of figures and tables for many (and bivariate combinations of) variables, typically from survey data. Contains interactive 'ggiraph'-based (<https://CRAN.R-project.org/package=ggiraph>) plotting functions and data frame-based summary tables (bivariate significance tests, frequencies/proportions, unique open ended responses, etc) with many arguments for customization, and extensions possible. Uses a global options() system for neatly reducing redundant code. Also contains tools for immediate saving of objects and returning a hashed link to the object, useful for creating download links to high resolution images upon rendering in 'Quarto'. Suitable for highly customized reports, primarily intended for survey research.
Author: Stephan Daus [aut, cre, cph] , Julia Silge [ctb] , David Robinson [ctb] , Nordic Institute for The Studies of Innovation, Research and Education [fnd], Kristiania University College [fnd]
Maintainer: Stephan Daus <stephus.daus@gmail.com>

Diff between saros versions 1.5.0 dated 2025-01-10 and 1.5.1 dated 2025-02-12

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Package PSweight updated to version 2.1.0 with previous version 1.2.0 dated 2024-03-29

Title: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials
Description: Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.
Author: Tianhui Zhou [aut], Guangyu Tong [aut], Fan Li [aut], Laine Thomas [aut], Fan Li [aut], Yukang Zeng [cre]
Maintainer: Yukang Zeng <yukang.zeng@yale.edu>

Diff between PSweight versions 1.2.0 dated 2024-03-29 and 2.1.0 dated 2025-02-12

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New package sspm with initial version 1.0.3
Package: sspm
Title: Spatial Surplus Production Model Framework for Northern Shrimp Populations
Version: 1.0.3
Description: Implement a GAM-based (Generalized Additive Models) spatial surplus production model (spatial SPM), aimed at modeling northern shrimp population in Atlantic Canada but potentially to any stock in any location. The package is opinionated in its implementation of SPMs as it internally makes the choice to use penalized spatial gams with time lags. However, it also aims to provide options for the user to customize their model. The methods are described in Pedersen et al. (2022, <https://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2022/2022_062-eng.html>).
License: MIT + file LICENSE
BugReports: https://github.com/pedersen-fisheries-lab/sspm/issues
URL: https://pedersen-fisheries-lab.github.io/sspm/
Encoding: UTF-8
Depends: sf, mgcv, R (>= 3.5.0)
Imports: stats, methods, units, checkmate, cli, tibble, magrittr, tidyr, dplyr, purrr, stringr, rlang
Suggests: testthat (>= 3.0.0), covr, ggplot2, ggforce, lwgeom, tweedie, sfdct, knitr, rmarkdown
LazyData: True
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-11 20:54:13 UTC; vlucet
Author: Valentin Lucet [aut, cre, cph], Eric Pedersen [aut]
Maintainer: Valentin Lucet <valentin.lucet@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-12 20:20:01 UTC

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New package rockx with initial version 0.0.2
Package: rockx
Title: Easily Import Data from Your 'ODK-X Sync Endpoint'
Version: 0.0.2
Description: Provides helper functions for authenticating and retrieving data from your 'ODK-X Sync Endpoint'. This is an early release intended for testing and feedback.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: dplyr, httr, jsonlite, purrr, tidyr, rlang
NeedsCompilation: no
Packaged: 2025-02-11 19:12:01 UTC; emil
Author: Emil Rossing [aut, cre]
Maintainer: Emil Rossing <hello@sapiens-solutions.com>
Repository: CRAN
Date/Publication: 2025-02-12 20:10:01 UTC

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Package discoveR updated to version 3.1.7 with previous version 3.1.2 dated 2023-01-20

Title: Exploratory Data Analysis System
Description: Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.
Author: Oldemar Rodriguez [aut, cre], Diego Jimenez [aut]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

Diff between discoveR versions 3.1.2 dated 2023-01-20 and 3.1.7 dated 2025-02-12

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New package manydist with initial version 0.4.3
Package: manydist
Title: Unbiased Distances for Mixed-Type Data
Version: 0.4.3
Maintainer: Angelos Markos <amarkos@gmail.com>
Description: A comprehensive framework for calculating unbiased distances in datasets containing mixed-type variables (numerical and categorical). The package implements a general formulation that ensures multivariate additivity and commensurability, meaning that variables contribute equally to the overall distance regardless of their type, scale, or distribution. Supports multiple distance measures including Gower's distance, Euclidean distance, Manhattan distance, and various categorical variable distances such as simple matching, Eskin, occurrence frequency, and association-based distances. Provides tools for variable scaling (standard deviation, range, robust range, and principal component scaling), and handles both independent and association-based category dissimilarities. Implements methods to correct for biases that typically arise from different variable types, distributions, and number of categories. Particularly useful for cluster analysis, data visualization, and other distance-based me [...truncated...]
Imports: entropy, Matrix, fastDummies, data.table, philentropy, cluster, purrr, dplyr, tidyr, forcats, tibble, magrittr, fpc, recipes, rsample, Rfast, readr, distances
Depends: R (>= 4.1.0)
Suggests: palmerpenguins
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-02-11 17:35:43 UTC; amarkos
Author: Alfonso Iodice D'Enza [aut], Angelos Markos [aut, cre], Michel van de Velden [aut], Carlo Cavicchia [aut]
Repository: CRAN
Date/Publication: 2025-02-12 19:40:02 UTC

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New package LeadSense with initial version 0.0.1.0000
Package: LeadSense
Title: Medtronic Brain Sense Local Field Potencial Analysis
Version: 0.0.1.0000
Description: Extracts and creates an analysis pipeline for the JSON data files from Brain Sense sessions using Medtronic's Deep Brain Stimulation surgery electrode implants.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, ggpubr, tidyr
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-02-11 17:34:05 UTC; paulo
Author: Paulo Bastos [aut, cre]
Maintainer: Paulo Bastos <pauloandrediasbastos01@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-12 19:40:05 UTC

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New package geocodebr with initial version 0.1.0
Package: geocodebr
Title: Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)
Version: 0.1.0
Description: Método simples e eficiente de geolocalizar dados no Brasil. O pacote é baseado em conjuntos de dados espaciais abertos de endereços brasileiros, utilizando principalmente o Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE). O CNEFE é publicado pelo Instituto Brasileiro de Geografia e Estatística (IBGE), órgão oficial de estatísticas e geografia do Brasil. (A simple and efficient method for geolocating data in Brazil. The package is based on open spatial datasets of Brazilian addresses, primarily using the Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE), published by the Instituto Brasileiro de Geografia e Estatística (IBGE), Brazil's official statistics and geography agency.)
License: MIT + file LICENSE
URL: https://github.com/ipeaGIT/geocodebr, https://ipeagit.github.io/geocodebr/
BugReports: https://github.com/ipeaGIT/geocodebr/issues
Depends: R (>= 4.1.0)
Imports: arrow (>= 15.0.1), checkmate, cli, data.table, DBI, dplyr, duckdb, enderecobr, fs, glue, httr2 (>= 1.0.0), parallel, purrr, rlang, sf, sfheaders, tools
Suggests: covr, dbplyr, geobr, ggplot2 (>= 3.3.1), knitr, rmarkdown, scales, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-11 18:50:14 UTC; user
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Ipea - Instituto de Pesquisa Economica Aplicada [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-12 20:00:02 UTC

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Package CohortSymmetry updated to version 0.2.1 with previous version 0.2.0 dated 2024-11-29

Title: Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model
Description: Calculating crude sequence ratio, adjusted sequence ratio and confidence intervals using data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Xihang Chen [aut, cre] , Tyman Stanford [aut] , Berta Raventos [aut] , Nicole Pratt [aut] , Ed Burn [aut] , Marti Catala [aut] , Danielle Newby [aut] , Nuria Mercade-Besora [aut] , Mike Du [aut] , Yuchen Guo [aut] , Kim Lopez [aut] , Marta Alcalde-He [...truncated...]
Maintainer: Xihang Chen <xihang.chen@ndorms.ox.ac.uk>

Diff between CohortSymmetry versions 0.2.0 dated 2024-11-29 and 0.2.1 dated 2025-02-12

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New package hdqr with initial version 1.0.1
Package: hdqr
Title: Fast Algorithm for Penalized Quantile Regression
Version: 1.0.1
Date: 2025-02-05
Maintainer: Qian Tang <qian-tang@uiowa.edu>
Description: Implements an efficient algorithm to fit and tune penalized quantile regression models using the generalized coordinate descent algorithm. Designed to handle high-dimensional datasets effectively, with emphasis on precision and computational efficiency. This package implements the algorithms proposed in Tang, Q., Zhang, Y., & Wang, B. (2022) <https://openreview.net/pdf?id=RvwMTDYTOb>.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, Matrix, methods
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-02-05 21:24:58 UTC; qtang7
Author: Qian Tang [aut, cre], Yikai Zhang [aut], Boxiang Wang [aut]
Repository: CRAN
Date/Publication: 2025-02-12 18:20:02 UTC

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New package BIOMASS with initial version 2.1.12
Package: BIOMASS
Title: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests
Version: 2.1.12
Date: 2025-01-21
Description: Contains functions to estimate aboveground biomass/carbon and its uncertainty in tropical forests. These functions allow to (1) retrieve and to correct taxonomy, (2) estimate wood density and its uncertainty, (3) construct height-diameter models, (4) manage tree and plot coordinates, (5) estimate the aboveground biomass/carbon at the stand level with associated uncertainty. To cite 'BIOMASS', please use citation("BIOMASS"). See more in the article of Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.6)
URL: https://github.com/umr-amap/BIOMASS
BugReports: https://github.com/umr-amap/BIOMASS/issues
Imports: minpack.lm, jsonlite, methods, proj4, graphics, stats, utils, data.table (>= 1.9.8), rappdirs, sf, terra
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, prettydoc, testthat, curl, geodata, httr2
NeedsCompilation: no
Packaged: 2025-01-21 17:11:03 UTC; lamonica
Author: Maxime Rejou-Mechain [aut, dtc], Guillaume Cornu [aut] , Dominique Lamonica [aut, cre], Arthur Pere [aut], Ariane Tanguy [aut], Camille Piponiot [aut], Jerome Chave [dtc], Bruno Herault [aut], Ted Feldpausch [dtc], Philippe Verley [ctb]
Maintainer: Dominique Lamonica <dominique.lamonica@ird.fr>
Repository: CRAN
Date/Publication: 2025-02-12 18:20:05 UTC

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Package smd updated to version 0.8.0 with previous version 0.7.0 dated 2024-05-06

Title: Compute Standardized Mean Differences
Description: Computes standardized mean differences and confidence intervals for multiple data types based on Yang, D., & Dalton, J. E. (2012) <https://support.sas.com/resources/papers/proceedings12/335-2012.pdf>.
Author: Bradley Saul [aut, cre], Alex Breskin [ctb], Catie Wiener [ctb], Matt Phelan [ctb], Daniel Sjoberg [ctb], Nuvan Rathnayaka [ctb], Malcolm Barrett [ctb]
Maintainer: Bradley Saul <bradleysaul@fastmail.com>

Diff between smd versions 0.7.0 dated 2024-05-06 and 0.8.0 dated 2025-02-12

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Package nmixgof updated to version 0.1.1 with previous version 0.1.0 dated 2018-07-05

Title: Goodness of Fit Checks for Binomial N-Mixture Models
Description: Provides residuals and overdispersion metrics to assess the fit of N-mixture models obtained using the package 'unmarked'. Details on the methods are given in Knape et al. (2017) <doi:10.1101/194340>.
Author: Jonas Knape [aut, cre]
Maintainer: Jonas Knape <jonas.knape@slu.se>

Diff between nmixgof versions 0.1.0 dated 2018-07-05 and 0.1.1 dated 2025-02-12

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Package mmints updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-05

Title: Workflows for Building Web Applications
Description: Sharing statistical methods or simulation frameworks through 'shiny' applications often requires workflows for handling data. To help save and display simulation results, the postgresUI() and postgresServer() functions in 'mmints' help with persistent data storage using a 'PostgreSQL' database. The 'mmints' package also offers data upload functionality through the csvUploadUI() and csvUploadServer() functions which allow users to upload data, view variables and their types, and edit variable types before fitting statistical models within the 'shiny' application. These tools aim to enhance efficiency and user interaction in 'shiny' based statistical and simulation applications.
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>

Diff between mmints versions 0.1.0 dated 2024-09-05 and 0.2.0 dated 2025-02-12

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Package lcmm updated to version 2.2.1 with previous version 2.2.0 dated 2025-02-03

Title: Extended Mixed Models Using Latent Classes and Latent Processes
Description: Estimation of various extensions of the mixed models including latent class mixed models, joint latent class mixed models, mixed models for curvilinear outcomes, mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).
Author: Cecile Proust-Lima [aut, cre], Viviane Philipps [aut], Amadou Diakite [ctb], Benoit Liquet [ctb], Alan Genz [ctb] , John Burkardt [ctb]
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>

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Package ILSAmerge updated to version 1.3.6 with previous version 1.3.5 dated 2025-01-08

Title: Merge and Download International Large-Scale Assessments (ILSA) Data
Description: Merges and downloads 'SPSS' data from different International Large-Scale Assessments (ILSA), including: Trends in International Mathematics and Science Study (TIMSS), Progress in International Reading Literacy Study (PIRLS), and others.
Author: Andres Christiansen [aut, cre] , Andres Strello [ctb]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

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Package colorSpec updated to version 1.7-0 with previous version 1.6-0 dated 2025-01-15

Title: Color Calculations with Emphasis on Spectral Data
Description: Calculate with spectral properties of light sources, materials, cameras, eyes, and scanners. Build complex systems from simpler parts using a spectral product algebra. For light sources, compute CCT, CRI, SSI, and IES TM-30 reports. For object colors, compute optimal colors and Logvinenko coordinates. Work with the standard CIE illuminants and color matching functions, and read spectra from text files, including CGATS files. Estimate a spectrum from its response. A user guide and 9 vignettes are included.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package cheapr updated to version 1.0.1 with previous version 1.0.0 dated 2025-01-22

Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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Package VGAM updated to version 1.1-13 with previous version 1.1-12 dated 2024-09-18

Title: Vector Generalized Linear and Additive Models
Description: An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. At the heart of this package are the vector generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing. The book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and the package. Currently only fixed-effects models are implemented. Many (100+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE. The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, doubly constrained RR-VGLMs, quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecolog [...truncated...]
Author: Thomas Yee [aut, cre] , Cleve Moler [ctb]
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>

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Package irace updated to version 4.2.0 with previous version 4.1 dated 2024-12-17

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Author: Manuel Lopez-Ibanez [aut, cre] , Jeremie Dubois-Lacoste [aut], Leslie Perez Caceres [aut], Thomas Stuetzle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

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Package hydroEvents updated to version 0.12.0 with previous version 0.11 dated 2022-12-20

Title: Extract Event Statistics in Hydrologic Time Series
Description: Events from individual hydrologic time series are extracted, and events from multiple time series can be matched to each other. Tang, W. & Carey, S. K. (2017) <doi:10.1002/hyp.11185>. Kaur, S., Horne, A., Stewardson, M.J., Nathan, R., Costa, A.M., Szemis, J.M., & Webb, J.A. (2017) <doi:10.1080/24705357.2016.1276418>. Ladson, A., Brown, R., Neal, B., & Nathan, R. J. (2013) <doi:10.7158/W12-028.2013.17.1>.
Author: Conrad Wasko [aut, cre], Danlu Guo [aut]
Maintainer: Conrad Wasko <conrad.wasko@gmail.com>

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Package TRADER updated to version 1.2-6 with previous version 1.2-5 dated 2024-11-27

Title: Tree Ring Analysis of Disturbance Events in R
Description: Tree Ring Analysis of Disturbance Events in R (TRADER) package provides functions for disturbance reconstruction from tree-ring data, e.g. boundary line, absolute increase, growth averaging methods.
Author: Pavel Fibich [aut, cre], Jan Altman [aut], Tuomas Aakala [aut], Jiri Dolezal [aut]
Maintainer: Pavel Fibich <pavel.fibich@prf.jcu.cz>

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Package simlandr updated to version 0.4.0 with previous version 0.3.1 dated 2024-01-23

Title: Simulation-Based Landscape Construction for Dynamical Systems
Description: A toolbox for constructing potential landscapes for dynamical systems using Monte Carlo simulation. The method is based on the potential landscape definition by Wang et al. (2008) <doi:10.1073/pnas.0800579105> (also see Zhou & Li, 2016 <doi:10.1063/1.4943096> for further mathematical discussions) and can be used for a large variety of models.
Author: Jingmeng Cui [aut, cre]
Maintainer: Jingmeng Cui <jingmeng.cui@outlook.com>

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Package psborrow2 updated to version 0.0.4.0 with previous version 0.0.3.4 dated 2024-04-30

Title: Bayesian Dynamic Borrowing Analysis and Simulation
Description: Bayesian dynamic borrowing is an approach to incorporating external data to supplement a randomized, controlled trial analysis in which external data are incorporated in a dynamic way (e.g., based on similarity of outcomes); see Viele 2013 <doi:10.1002/pst.1589> for an overview. This package implements the hierarchical commensurate prior approach to dynamic borrowing as described in Hobbes 2011 <doi:10.1111/j.1541-0420.2011.01564.x>. There are three main functionalities. First, 'psborrow2' provides a user-friendly interface for applying dynamic borrowing on the study results handles the Markov Chain Monte Carlo sampling on behalf of the user. Second, 'psborrow2' provides a simulation framework to compare different borrowing parameters (e.g. full borrowing, no borrowing, dynamic borrowing) and other trial and borrowing characteristics (e.g. sample size, covariates) in a unified way. Third, 'psborrow2' provides a set of functions to generate data for simulation studies, and a [...truncated...]
Author: Matt Secrest [aut, cre] , Isaac Gravestock [aut], Craig Gower-Page [ctb], Manoj Khanal [ctb], Mingyang Shan [ctb], Kexin Jin [ctb], Zhi Yang [ctb], Genentech, Inc. [cph, fnd]
Maintainer: Matt Secrest <secrestm@gene.com>

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Package imuf updated to version 0.6.0 with previous version 0.5.1 dated 2025-01-15

Title: Estimate Orientation of an Inertial Measurement Unit
Description: Estimate the orientation of an inertial measurement unit (IMU) with a 3-axis accelerometer and a 3-axis gyroscope using a complementary filter. 'imuf' takes an IMU's accelerometer and gyroscope readings, time duration, its initial orientation, and a gain factor as inputs, and returns an estimate of the IMU's final orientation.
Author: Felix Chan [aut, cre, cph], Ricardo Cabello [cph]
Maintainer: Felix Chan <chanfelix@gmail.com>

Diff between imuf versions 0.5.1 dated 2025-01-15 and 0.6.0 dated 2025-02-12

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Package SFSI (with last version 1.4.1) was removed from CRAN

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

2024-08-23 1.4.1
2024-06-25 1.4

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Package exceedProb (with last version 0.0.1) was removed from CRAN

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

2019-08-27 0.0.1

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Package RcppUUID updated to version 1.2.0 with previous version 1.1.2 dated 2025-01-31

Title: Generating Universally Unique Identificators
Description: Using the efficient implementation in the Boost C++ library, functions are provided to generate vectors of 'Universally Unique Identifiers (UUID)' from R supporting random (version 4), name (version 5) and time (version 7) 'UUIDs'. The initial repository was at <https://gitlab.com/artemklevtsov/rcppuuid>.
Author: Artem Klevtsov [aut] , Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppUUID versions 1.1.2 dated 2025-01-31 and 1.2.0 dated 2025-02-12

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Package R6 updated to version 2.6.0 with previous version 2.5.1 dated 2021-08-19

Title: Encapsulated Classes with Reference Semantics
Description: Creates classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages.
Author: Winston Chang [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Winston Chang <winston@posit.co>

Diff between R6 versions 2.5.1 dated 2021-08-19 and 2.6.0 dated 2025-02-12

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Package lintr updated to version 3.2.0 with previous version 3.1.2 dated 2024-03-25

Title: A 'Linter' for R Code
Description: Checks adherence to a given style, syntax errors and possible semantic issues. Supports on the fly checking of R code edited with 'RStudio IDE', 'Emacs', 'Vim', 'Sublime Text', 'Atom' and 'Visual Studio Code'.
Author: Jim Hester [aut], Florent Angly [aut] , Russ Hyde [aut], Michael Chirico [aut, cre], Kun Ren [aut], Alexander Rosenstock [aut] , Indrajeet Patil [aut]
Maintainer: Michael Chirico <michaelchirico4@gmail.com>

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More information about lintr at CRAN
Permanent link

Package imanr updated to version 2.0.0 with previous version 1.0.2 dated 2024-06-23

Title: Identify the Racial Complex of Native Corns from Mexico
Description: A model that provides researchers with a powerful tool for the classification and study of native corn by aiding in the identification of racial complexes which are fundamental to Mexico's agriculture and culture. This package has been developed based on data collected by "Proyecto Global de Maíces Nativos México", which has conducted exhaustive surveys across the country to document the qualitative and quantitative characteristics of different types of native maize. The trained model uses a robust and diverse dataset, enabling it to achieve an 80% accuracy in classifying maize racial complexes. The characteristics included in the analysis comprise geographic location, grain and cob colors, as well as various physical measurements, such as lengths and widths.
Author: Rafael Nieves-Alvarez [aut, cre] , Arturo Sanchez-Porras [aut, cph] , Aline Romero-Natale [aut] , Otilio Arturo Acevedo-Sandoval [aut]
Maintainer: Rafael Nieves-Alvarez <nievesalvarez1618@gmail.com>

Diff between imanr versions 1.0.2 dated 2024-06-23 and 2.0.0 dated 2025-02-12

 DESCRIPTION                              |   12 ++++-----
 MD5                                      |   32 +++++++++++++-------------
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More information about imanr at CRAN
Permanent link

Package rivnet updated to version 0.6.0 with previous version 0.5.0 dated 2024-09-23

Title: Extract and Analyze Rivers from Elevation Data
Description: Seamless extraction of river networks from digital elevation models data. The package allows analysis of digital elevation models that can be either externally provided or downloaded from open source repositories (thus interfacing with the 'elevatr' package). Extraction is performed via the 'D8' flow direction algorithm of TauDEM (Terrain Analysis Using Digital Elevation Models), thus interfacing with the 'traudem' package. Resulting river networks are compatible with functions from the 'OCNet' package. See Carraro (2023) <doi:10.5194/hess-27-3733-2023> for a presentation of the package.
Author: Luca Carraro [cre, aut], University of Zurich [cph, fnd]
Maintainer: Luca Carraro <luca.carraro@hotmail.it>

Diff between rivnet versions 0.5.0 dated 2024-09-23 and 0.6.0 dated 2025-02-12

 DESCRIPTION               |    7 +-
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More information about rivnet at CRAN
Permanent link

Package FastGaSP updated to version 0.6.0 with previous version 0.5.3 dated 2024-04-26

Title: Fast and Exact Computation of Gaussian Stochastic Process
Description: Implements fast and exact computation of Gaussian stochastic process with the Matern kernel using forward filtering and backward smoothing algorithm. It includes efficient implementations of the inverse Kalman filter, with applications such as estimating particle interaction functions. These tools support models with or without noise. Additionally, the package offers algorithms for fast parameter estimation in latent factor models, where the factor loading matrix is orthogonal, and latent processes are modeled by Gaussian processes. See the references: 1) Mengyang Gu and Yanxun Xu (2020), Journal of Computational and Graphical Statistics; 2) Xinyi Fang and Mengyang Gu (2024), <doi:10.48550/arXiv.2407.10089>; 3) Mengyang Gu and Weining Shen (2020), Journal of Machine Learning Research; 4) Yizi Lin, Xubo Liu, Paul Segall and Mengyang Gu (2025), <doi:10.48550/arXiv.2501.01324>.
Author: Mengyang Gu [aut, cre], Xinyi Fang [aut], Yizi Lin [aut]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

Diff between FastGaSP versions 0.5.3 dated 2024-04-26 and 0.6.0 dated 2025-02-12

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 man/show.fgasp.Rd                 |    5 
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 man/show.particle.est.Rd          |only
 man/simulate_particle.Rd          |only
 man/trajectory_data.Rd            |only
 src/RcppExports.cpp               |  353 +++++++++
 src/functions.cpp                 | 1462 +++++++++++++++++++++++++++++++++++++-
 src/init.c                        |   68 +
 46 files changed, 2962 insertions(+), 68 deletions(-)

More information about FastGaSP at CRAN
Permanent link

Package VGAMextra updated to version 0.0-7 with previous version 0.0-6 dated 2023-10-30

Title: Additions and Extensions of the 'VGAM' Package
Description: Extending the functionalities of the 'VGAM' package with additional functions and datasets. At present, 'VGAMextra' comprises new family functions (ffs) to estimate several time series models by maximum likelihood using Fisher scoring, unlike popular packages in CRAN relying on optim(), including ARMA-GARCH-like models, the Order-(p, d, q) ARIMAX model (non- seasonal), the Order-(p) VAR model, error correction models for cointegrated time series, and ARMA-structures with Student-t errors. For independent data, new ffs to estimate the inverse- Weibull, the inverse-gamma, the generalized beta of the second kind and the general multivariate normal distributions are available. In addition, 'VGAMextra' incorporates new VGLM-links for the mean-function, and the quantile-function (as an alternative to ordinary quantile modelling) of several 1-parameter distributions, that are compatible with the class of VGLM/VGAM family functions. Currently, only fixed-effects models are implemented. All fun [...truncated...]
Author: Victor Miranda [aut, cre, cph], Thomas Yee [ctb, ths, cph]
Maintainer: Victor Miranda <victor.miranda@aut.ac.nz>

Diff between VGAMextra versions 0.0-6 dated 2023-10-30 and 0.0-7 dated 2025-02-12

 DESCRIPTION              |   10 -
 MD5                      |   26 ++--
 NEWS                     |   11 +
 R/InfoAttach.R           |    2 
 R/TSfamilyARIMAX.R       |  261 ++++++++++++++++++++++++++++-------------------
 R/TSfamilyARMAX.R        |  230 ++++++++++++++++++++++-------------------
 man/ARIMAXff.Rd          |    2 
 man/Q.reg.Rd             |    7 -
 man/VGAMextra-package.Rd |    3 
 man/gen.betaIImr.Rd      |   36 +++---
 man/invgamma2mr.Rd       |   15 +-
 man/invweibull2mr.Rd     |    3 
 man/trunclognormalff.Rd  |    8 -
 man/truncnormalff.Rd     |    8 -
 14 files changed, 361 insertions(+), 261 deletions(-)

More information about VGAMextra at CRAN
Permanent link

Package recipes updated to version 1.1.1 with previous version 1.1.0 dated 2024-07-04

Title: Preprocessing and Feature Engineering Steps for Modeling
Description: A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between recipes versions 1.1.0 dated 2024-07-04 and 1.1.1 dated 2025-02-12

 DESCRIPTION                                       |   17 
 MD5                                               |  645 +++++++++++-----------
 NAMESPACE                                         |    8 
 NEWS.md                                           |   10 
 R/BoxCox.R                                        |    2 
 R/YeoJohnson.R                                    |    8 
 R/bin2factor.R                                    |    4 
 R/case_weights.R                                  |   10 
 R/class.R                                         |    2 
 R/classdist.R                                     |    7 
 R/classdist_shrunken.R                            |    4 
 R/colcheck.R                                      |    3 
 R/corr.R                                          |    8 
 R/count.R                                         |   11 
 R/cut.R                                           |   33 -
 R/date.R                                          |   12 
 R/depth.R                                         |    6 
 R/discretize.R                                    |   25 
 R/dummy.R                                         |  135 +++-
 R/dummy_extract.R                                 |   25 
 R/dummy_multi_choice.R                            |   52 -
 R/extract_parameter.R                             |   15 
 R/filter_missing.R                                |    1 
 R/hyperbolic.R                                    |    8 
 R/ica.R                                           |    1 
 R/import-standalone-obj-type.R                    |   11 
 R/import-standalone-types-check.R                 |   17 
 R/impute_bag.R                                    |    6 
 R/impute_knn.R                                    |    7 
 R/impute_linear.R                                 |    6 
 R/impute_mean.R                                   |    7 
 R/impute_roll.R                                   |   14 
 R/integer.R                                       |    2 
 R/interact.R                                      |   20 
 R/inverse.R                                       |    1 
 R/isomap.R                                        |    6 
 R/kpca.R                                          |    2 
 R/kpca_poly.R                                     |    8 
 R/kpca_rbf.R                                      |    6 
 R/lag.R                                           |    1 
 R/lincomb.R                                       |    1 
 R/log.R                                           |    3 
 R/logit.R                                         |    1 
 R/misc.R                                          |   95 ++-
 R/mutate_at.R                                     |    4 
 R/newvalues.R                                     |    1 
 R/nnmf.R                                          |    6 
 R/nnmf_sparse.R                                   |   10 
 R/normalize.R                                     |    1 
 R/novel.R                                         |    6 
 R/num2factor.R                                    |    1 
 R/nzv.R                                           |    4 
 R/ordinalscore.R                                  |    1 
 R/other.R                                         |   20 
 R/pca.R                                           |   13 
 R/pls.R                                           |    5 
 R/poly.R                                          |    7 
 R/poly_bernstein.R                                |    2 
 R/profile.R                                       |    4 
 R/range.R                                         |    9 
 R/ratio.R                                         |    1 
 R/recipe.R                                        |  326 ++++++-----
 R/recipes-package.R                               |    3 
 R/regex.R                                         |   13 
 R/relevel.R                                       |   10 
 R/relu.R                                          |   18 
 R/rename_at.R                                     |    4 
 R/sample.R                                        |   15 
 R/scale.R                                         |   15 
 R/selections.R                                    |    6 
 R/sparsevctrs.R                                   |only
 R/spatialsign.R                                   |    1 
 R/spline_b.R                                      |    5 
 R/spline_convex.R                                 |    2 
 R/spline_helpers.R                                |   10 
 R/spline_monotone.R                               |    3 
 R/spline_natural.R                                |    2 
 R/spline_nonnegative.R                            |    3 
 R/steps_and_checks.R                              |   27 
 R/string2factor.R                                 |    6 
 R/tidy.R                                          |   23 
 R/time.R                                          |   35 -
 R/tune_args.R                                     |   19 
 R/unknown.R                                       |    1 
 R/update.R                                        |   10 
 R/window.R                                        |   51 -
 build/partial.rdb                                 |binary
 build/vignette.rds                                |binary
 inst/doc/Dummies.R                                |   12 
 inst/doc/Dummies.html                             |   31 -
 inst/doc/Roles.R                                  |    2 
 inst/doc/Roles.html                               |    5 
 inst/doc/Selecting_Variables.html                 |    3 
 inst/doc/Skipping.html                            |    3 
 inst/doc/recipes.R                                |    8 
 inst/doc/recipes.html                             |    3 
 man/bake.Rd                                       |   67 +-
 man/dot-recipes_estimate_sparsity.Rd              |only
 man/dot-recipes_toggle_sparse_args.Rd             |only
 man/juice.Rd                                      |   17 
 man/names0.Rd                                     |    7 
 man/prep.Rd                                       |   71 +-
 man/recipe.Rd                                     |   49 -
 man/rmd/non-standard-roles.Rmd                    |    2 
 man/rmd/selections.Rmd                            |    7 
 man/roles.Rd                                      |   11 
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 man/sparse_data.Rd                                |only
 man/step.Rd                                       |    7 
 man/step_classdist.Rd                             |    2 
 man/step_classdist_shrunken.Rd                    |    2 
 man/step_date.Rd                                  |    2 
 man/step_dummy.Rd                                 |    9 
 man/step_dummy_extract.Rd                         |    8 
 man/step_impute_roll.Rd                           |    2 
 man/step_isomap.Rd                                |    4 
 man/step_kpca_poly.Rd                             |    3 
 man/step_kpca_rbf.Rd                              |    3 
 man/step_novel.Rd                                 |    5 
 man/step_poly.Rd                                  |    2 
 man/step_range.Rd                                 |    7 
 man/step_scale.Rd                                 |    2 
 man/step_string2factor.Rd                         |    2 
 tests/testthat/_snaps/BoxCox.md                   |   24 
 tests/testthat/_snaps/R4.4                        |only
 tests/testthat/_snaps/YeoJohnson.md               |   38 +
 tests/testthat/_snaps/basics.md                   |   98 +++
 tests/testthat/_snaps/bin2factor.md               |   19 
 tests/testthat/_snaps/bs.md                       |    8 
 tests/testthat/_snaps/case-weight-functions.md    |   10 
 tests/testthat/_snaps/center.md                   |    8 
 tests/testthat/_snaps/class.md                    |   24 
 tests/testthat/_snaps/classdist.md                |   72 ++
 tests/testthat/_snaps/classdist_shrunken.md       |   28 
 tests/testthat/_snaps/colcheck.md                 |   24 
 tests/testthat/_snaps/corr.md                     |   36 +
 tests/testthat/_snaps/count.md                    |   47 +
 tests/testthat/_snaps/cut.md                      |   39 +
 tests/testthat/_snaps/date.md                     |   68 ++
 tests/testthat/_snaps/depth.md                    |   28 
 tests/testthat/_snaps/discretize.md               |   38 +
 tests/testthat/_snaps/dummy.md                    |   51 +
 tests/testthat/_snaps/dummy_extract.md            |   58 +
 tests/testthat/_snaps/dummy_multi_choice.md       |   28 
 tests/testthat/_snaps/extract_parameter.md        |only
 tests/testthat/_snaps/factor2string.md            |    8 
 tests/testthat/_snaps/filter_missing.md           |   10 
 tests/testthat/_snaps/geodist.md                  |    8 
 tests/testthat/_snaps/harmonic.md                 |    8 
 tests/testthat/_snaps/holiday.md                  |   17 
 tests/testthat/_snaps/hyperbolic.md               |   27 
 tests/testthat/_snaps/ica.md                      |   27 
 tests/testthat/_snaps/impute_bag.md               |   49 +
 tests/testthat/_snaps/impute_knn.md               |   57 +
 tests/testthat/_snaps/impute_linear.md            |   35 +
 tests/testthat/_snaps/impute_lower.md             |    8 
 tests/testthat/_snaps/impute_mean.md              |   18 
 tests/testthat/_snaps/impute_median.md            |    8 
 tests/testthat/_snaps/impute_mode.md              |    8 
 tests/testthat/_snaps/impute_roll.md              |   39 +
 tests/testthat/_snaps/indicate_na.md              |    8 
 tests/testthat/_snaps/integer.md                  |   28 
 tests/testthat/_snaps/interact.md                 |   20 
 tests/testthat/_snaps/inverse.md                  |   18 
 tests/testthat/_snaps/invlogit.md                 |    8 
 tests/testthat/_snaps/isomap.md                   |   28 
 tests/testthat/_snaps/kpca.md                     |   38 +
 tests/testthat/_snaps/kpca_poly.md                |   68 ++
 tests/testthat/_snaps/kpca_rbf.md                 |   48 +
 tests/testthat/_snaps/lag.md                      |   17 
 tests/testthat/_snaps/lincomb.md                  |    9 
 tests/testthat/_snaps/log.md                      |   35 +
 tests/testthat/_snaps/logit.md                    |   17 
 tests/testthat/_snaps/matrix.md                   |    4 
 tests/testthat/_snaps/misc.md                     |   49 +
 tests/testthat/_snaps/missing.md                  |    8 
 tests/testthat/_snaps/mutate_at.md                |    9 
 tests/testthat/_snaps/naomit.md                   |    8 
 tests/testthat/_snaps/newvalues.md                |   17 
 tests/testthat/_snaps/nnmf_sparse.md              |   56 +
 tests/testthat/_snaps/nomial_types.md             |   10 
 tests/testthat/_snaps/normalize.md                |   18 
 tests/testthat/_snaps/novel.md                    |   17 
 tests/testthat/_snaps/ns.md                       |    8 
 tests/testthat/_snaps/num2factor.md               |   17 
 tests/testthat/_snaps/nzv.md                      |   18 
 tests/testthat/_snaps/ordinalscore.md             |   18 
 tests/testthat/_snaps/other.md                    |   20 
 tests/testthat/_snaps/pca.md                      |   43 +
 tests/testthat/_snaps/percentile.md               |    8 
 tests/testthat/_snaps/pls.md                      |   55 +
 tests/testthat/_snaps/poly.md                     |   25 
 tests/testthat/_snaps/poly_bernstein.md           |   28 
 tests/testthat/_snaps/profile.md                  |    9 
 tests/testthat/_snaps/range.md                    |   36 +
 tests/testthat/_snaps/range_check.md              |    8 
 tests/testthat/_snaps/ratio.md                    |   27 
 tests/testthat/_snaps/regex.md                    |   36 +
 tests/testthat/_snaps/relevel.md                  |   19 
 tests/testthat/_snaps/relu.md                     |   11 
 tests/testthat/_snaps/rename_at.md                |   19 
 tests/testthat/_snaps/rm.md                       |    2 
 tests/testthat/_snaps/sample.md                   |   19 
 tests/testthat/_snaps/scale.md                    |   20 
 tests/testthat/_snaps/select.md                   |    8 
 tests/testthat/_snaps/selections.md               |    9 
 tests/testthat/_snaps/shuffle.md                  |    8 
 tests/testthat/_snaps/sparsevctrs.md              |only
 tests/testthat/_snaps/sparsity.md                 |    6 
 tests/testthat/_snaps/spatialsign.md              |   17 
 tests/testthat/_snaps/spline_b.md                 |   36 +
 tests/testthat/_snaps/spline_convex.md            |   28 
 tests/testthat/_snaps/spline_monotone.md          |   38 +
 tests/testthat/_snaps/spline_natural.md           |   28 
 tests/testthat/_snaps/spline_nonnegative.md       |   38 +
 tests/testthat/_snaps/sqrt.md                     |    8 
 tests/testthat/_snaps/string2factor.md            |   11 
 tests/testthat/_snaps/stringsAsFactors.md         |    4 
 tests/testthat/_snaps/tidy.md                     |    8 
 tests/testthat/_snaps/time.md                     |   19 
 tests/testthat/_snaps/tune_args.md                |only
 tests/testthat/_snaps/unknown.md                  |   21 
 tests/testthat/_snaps/unorder.md                  |    8 
 tests/testthat/_snaps/update-role-requirements.md |    8 
 tests/testthat/_snaps/update.md                   |   12 
 tests/testthat/_snaps/window.md                   |   73 +-
 tests/testthat/helper-sparsevctrs.R               |only
 tests/testthat/test-BoxCox.R                      |   11 
 tests/testthat/test-YeoJohnson.R                  |   30 -
 tests/testthat/test-basics.R                      |  117 +++
 tests/testthat/test-bin2factor.R                  |    7 
 tests/testthat/test-bs.R                          |    8 
 tests/testthat/test-case-weight-functions.R       |   12 
 tests/testthat/test-center.R                      |    7 
 tests/testthat/test-class.R                       |   34 -
 tests/testthat/test-classdist.R                   |   57 +
 tests/testthat/test-classdist_shrunken.R          |   21 
 tests/testthat/test-colcheck.R                    |   54 +
 tests/testthat/test-corr.R                        |   32 +
 tests/testthat/test-count.R                       |   40 +
 tests/testthat/test-cut.R                         |   54 +
 tests/testthat/test-date.R                        |   71 ++
 tests/testthat/test-depth.R                       |   27 
 tests/testthat/test-discretize.R                  |   26 
 tests/testthat/test-dummy.R                       |  118 +++-
 tests/testthat/test-dummy_extract.R               |   43 +
 tests/testthat/test-dummy_multi_choice.R          |   29 
 tests/testthat/test-extract_parameter.R           |only
 tests/testthat/test-factor2string.R               |    3 
 tests/testthat/test-filter.R                      |    5 
 tests/testthat/test-filter_missing.R              |   12 
 tests/testthat/test-geodist.R                     |   12 
 tests/testthat/test-harmonic.R                    |    8 
 tests/testthat/test-holiday.R                     |   16 
 tests/testthat/test-hyperbolic.R                  |   11 
 tests/testthat/test-ica.R                         |   42 +
 tests/testthat/test-impute_bag.R                  |   48 +
 tests/testthat/test-impute_knn.R                  |   52 +
 tests/testthat/test-impute_linear.R               |   35 +
 tests/testthat/test-impute_lower.R                |    6 
 tests/testthat/test-impute_mean.R                 |   17 
 tests/testthat/test-impute_median.R               |    3 
 tests/testthat/test-impute_mode.R                 |    3 
 tests/testthat/test-impute_roll.R                 |   37 +
 tests/testthat/test-indicate_na.R                 |    8 
 tests/testthat/test-integer.R                     |   22 
 tests/testthat/test-interact.R                    |   46 +
 tests/testthat/test-inverse.R                     |   12 
 tests/testthat/test-invlogit.R                    |    6 
 tests/testthat/test-isomap.R                      |   29 
 tests/testthat/test-kpca.R                        |   42 +
 tests/testthat/test-kpca_poly.R                   |   60 +-
 tests/testthat/test-kpca_rbf.R                    |   49 +
 tests/testthat/test-lag.R                         |   15 
 tests/testthat/test-lincomb.R                     |   10 
 tests/testthat/test-log.R                         |   25 
 tests/testthat/test-logit.R                       |   12 
 tests/testthat/test-misc.R                        |   89 +++
 tests/testthat/test-missing.R                     |    5 
 tests/testthat/test-mutate.R                      |    5 
 tests/testthat/test-mutate_at.R                   |    4 
 tests/testthat/test-naomit.R                      |    3 
 tests/testthat/test-newvalues.R                   |   32 -
 tests/testthat/test-nnmf_sparse.R                 |   63 +-
 tests/testthat/test-nomial_types.R                |    5 
 tests/testthat/test-normalize.R                   |   14 
 tests/testthat/test-novel.R                       |    9 
 tests/testthat/test-ns.R                          |    8 
 tests/testthat/test-num2factor.R                  |    9 
 tests/testthat/test-nzv.R                         |   16 
 tests/testthat/test-ordinalscore.R                |   14 
 tests/testthat/test-other.R                       |   19 
 tests/testthat/test-pca.R                         |   36 +
 tests/testthat/test-percentile.R                  |    6 
 tests/testthat/test-pls.R                         |   57 +
 tests/testthat/test-poly.R                        |   24 
 tests/testthat/test-poly_bernstein.R              |   20 
 tests/testthat/test-profile.R                     |    8 
 tests/testthat/test-range.R                       |   35 +
 tests/testthat/test-range_check.R                 |   15 
 tests/testthat/test-ratio.R                       |   27 
 tests/testthat/test-regex.R                       |   40 +
 tests/testthat/test-relevel.R                     |    8 
 tests/testthat/test-relu.R                        |    3 
 tests/testthat/test-rename_at.R                   |   11 
 tests/testthat/test-rm.R                          |    5 
 tests/testthat/test-sample.R                      |   13 
 tests/testthat/test-scale.R                       |    8 
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 tests/testthat/test-selections.R                  |   31 -
 tests/testthat/test-shuffle.R                     |    3 
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 tests/testthat/test-slice.R                       |   10 
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 tests/testthat/test-spatialsign.R                 |   13 
 tests/testthat/test-spline_b.R                    |   28 
 tests/testthat/test-spline_convex.R               |   22 
 tests/testthat/test-spline_monotone.R             |   28 
 tests/testthat/test-spline_natural.R              |   20 
 tests/testthat/test-spline_nonnegative.R          |   28 
 tests/testthat/test-sqrt.R                        |    3 
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 tests/testthat/test-unorder.R                     |    6 
 tests/testthat/test-update-role-requirements.R    |    5 
 tests/testthat/test-update.R                      |   22 
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 329 files changed, 5657 insertions(+), 1493 deletions(-)

More information about recipes at CRAN
Permanent link

Package rdwplus updated to version 1.0.1 with previous version 1.0.0 dated 2023-08-22

Title: Inverse Distance Weighted Percent Land Use for Streams
Description: Compute spatially explicit land-use metrics for stream survey sites in GRASS GIS and R as an open-source implementation of IDW-PLUS (Inverse Distance Weighted Percent Land Use for Streams). The package includes functions for preprocessing digital elevation and streams data, and one function to compute all the spatially explicit land use metrics described in Peterson et al. (2011) <doi:10.1111/j.1365-2427.2010.02507.x> and previously implemented by Peterson and Pearse (2017) <doi:10.1111/1752-1688.12558> in ArcGIS-Python as IDW-PLUS.
Author: Alan Pearse [aut, cre], Grace Heron [aut], Erin Peterson [aut]
Maintainer: Alan Pearse <alan.pearse@unimelb.edu.au>

Diff between rdwplus versions 1.0.0 dated 2023-08-22 and 1.0.1 dated 2025-02-12

 DESCRIPTION            |   16 ++++++++--------
 MD5                    |    4 ++--
 man/rdwplus-package.Rd |    2 +-
 3 files changed, 11 insertions(+), 11 deletions(-)

More information about rdwplus at CRAN
Permanent link

Package nascaR.data updated to version 2.2.0 with previous version 2.1.0 dated 2025-01-20

Title: NASCAR Race Data
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NASCAR Xfinity Series, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and extends through the end of the 2024 season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.
Author: Kyle Grealis [aut, cre] , Nick Triplett [ctb], Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kylegrealis@icloud.com>

Diff between nascaR.data versions 2.1.0 dated 2025-01-20 and 2.2.0 dated 2025-02-12

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 nascaR.data-2.2.0/nascaR.data/NEWS.md                    |   13 +++++-
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 nascaR.data-2.2.0/nascaR.data/R/get_driver.R             |    1 
 nascaR.data-2.2.0/nascaR.data/R/get_team.R               |    2 
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More information about nascaR.data at CRAN
Permanent link

Package LHD updated to version 1.4.1 with previous version 1.4.0 dated 2024-09-10

Title: Latin Hypercube Designs (LHDs)
Description: Contains different algorithms and construction methods for optimal Latin hypercube designs (LHDs) with flexible sizes. Our package is comprehensive since it is capable of generating maximin distance LHDs, maximum projection LHDs, and orthogonal and nearly orthogonal LHDs. Detailed comparisons and summary of all the algorithms and construction methods in this package can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <doi:10.48550/arXiv.2010.09154>. This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.
Author: Hongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut]
Maintainer: Hongzhi Wang <wanghongzhi.ut@gmail.com>

Diff between LHD versions 1.4.0 dated 2024-09-10 and 1.4.1 dated 2025-02-12

 DESCRIPTION                    |    6 +++---
 MD5                            |    9 +++++----
 NEWS.md                        |    4 ++++
 build/vignette.rds             |binary
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 inst/doc/Vignette_for_LHD.html |    2 +-
 6 files changed, 13 insertions(+), 8 deletions(-)

More information about LHD at CRAN
Permanent link

Package jrSiCKLSNMF updated to version 1.2.2 with previous version 1.2.1 dated 2023-07-06

Title: Multimodal Single-Cell Omics Dimensionality Reduction
Description: Methods to perform Joint graph Regularized Single-Cell Kullback-Leibler Sparse Non-negative Matrix Factorization ('jrSiCKLSNMF', pronounced "junior sickles NMF") on quality controlled single-cell multimodal omics count data. 'jrSiCKLSNMF' specifically deals with dual-assay scRNA-seq and scATAC-seq data. This package contains functions to extract meaningful latent factors that are shared across omics modalities. These factors enable accurate cell-type clustering and facilitate visualizations. Methods for pre-processing, clustering, and mini-batch updates and other adaptations for larger datasets are also included. For further details on the methods used in this package please see Ellis, Roy, and Datta (2023) <doi:10.3389/fgene.2023.1179439>.
Author: Dorothy Ellis [aut, cre] , Susmita Datta [ths], Kenneth Perkins [ctb] , Renaud Gaujoux [ctb]
Maintainer: Dorothy Ellis <ddemoreellis@gmail.com>

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Package ggrcs updated to version 0.4.3 with previous version 0.4.2 dated 2024-09-24

Title: Draw Histograms and Restricted Cubic Splines (RCS)
Description: You can use this function to easily draw a combined histogram and restricted cubic spline. The function draws the graph through 'ggplot2'. RCS fitting requires the use of the rcs() function of the 'rms' package. Can fit cox regression, logistic regression. This method was described by Per Kragh (2003) <doi:10.1002/sim.1497>.
Author: Qiang LIU [aut, cre]
Maintainer: Qiang LIU <dege857@163.com>

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Package ergm.ego updated to version 1.1.2 with previous version 1.1.1 dated 2024-11-07

Title: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Description: Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data. See Krivitsky and Morris (2017) <doi:10.1214/16-AOAS1010>.
Author: Pavel N. Krivitsky [aut, cre] , Steven M. Goodreau [ctb], Martina Morris [ctb], Kirk Li [ctb], Emily N. Beylerian [ctb], Michal Bojanowski [ctb] , Chad Klumb [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package clusterMI updated to version 1.4.0 with previous version 1.3 dated 2024-12-12

Title: Cluster Analysis with Missing Values by Multiple Imputation
Description: Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 <doi:10.1007/s11634-022-00519-1>. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) <doi:10.48550/arXiv.2106.04424>. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 <doi:10.1016/j.csda.2011.09.003>). Among applications, this instability measure can be used to choose a number of clusters with missing value [...truncated...]
Author: Vincent Audigier [aut, cre] , Hang Joon Kim [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>

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Package BayesERtools updated to version 0.2.1 with previous version 0.2.0 dated 2025-02-10

Title: Bayesian Exposure-Response Analysis Tools
Description: Suite of tools that facilitate exposure-response analysis using Bayesian methods. The package provides a streamlined workflow for fitting types of models that are commonly used in exposure-response analysis - linear and Emax for continuous endpoints, logistic linear and logistic Emax for binary endpoints, as well as performing simulation and visualization. Learn more about the workflow at <https://genentech.github.io/BayesERbook/>.
Author: Kenta Yoshida [aut, cre] , Francois Mercier [aut] , Genentech, Inc. [cph]
Maintainer: Kenta Yoshida <yoshida.kenta.6@gmail.com>

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Package r2dii.plot updated to version 0.5.0 with previous version 0.4.0 dated 2024-02-29

Title: Visualize the Climate Scenario Alignment of a Financial Portfolio
Description: Create plots to visualize the alignment of a corporate lending financial portfolio to climate change scenarios based on climate indicators (production and emission intensities) across key climate relevant sectors of the 'PACTA' methodology (Paris Agreement Capital Transition Assessment; <https://www.transitionmonitor.com/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals.
Author: Monika Furdyna [aut, ctr, cre] , Mauro Lepore [aut, ctr] , Alex Axthelm [aut, ctr] , RMI [cph, fnd]
Maintainer: Monika Furdyna <monika.furdyna@gmail.com>

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Package excel.link updated to version 0.9.15 with previous version 0.9.13 dated 2024-07-07

Title: Convenient Data Exchange with Microsoft Excel
Description: Allows access to data in running instance of Microsoft Excel (e. g. 'xl[a1] = xl[b2]*3' and so on). Graphics can be transferred with 'xl[a1] = current.graphics()'. Additionally there are function for reading/writing 'Excel' files - 'xl.read.file'/'xl.save.file'. They are not fast but able to read/write '*.xlsb'-files and password-protected files. There is an Excel workbook with examples of calling R from Excel in the 'doc' folder. It tries to keep things as simple as possible - there are no needs in any additional installations besides R, only 'VBA' code in the Excel workbook. Microsoft Excel is required for this package.
Author: Gregory Demin [cre], Duncan Lang [aut]
Maintainer: Gregory Demin <excel.link.feedback@gmail.com>

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Package rbcc updated to version 0.1.4 with previous version 0.1.3 dated 2024-11-05

Title: Risk-Based Control Charts
Description: Univariate and multivariate versions of risk-based control charts. Univariate versions of control charts, such as the risk-based version of X-bar, Moving Average (MA), Exponentially Weighted Moving Average Control Charts (EWMA), and Cumulative Sum Control Charts (CUSUM) charts. The risk-based version of the multivariate T2 control chart. Plot and summary functions. Kosztyan et. al. (2016) <doi:10.1016/j.eswa.2016.06.019>.
Author: Aamir Saghir [aut], Attila Imre Katona [aut], Zsolt Tibor Kosztyan [aut, cre]
Maintainer: Zsolt Tibor Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>

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Package noaastormevents (with last version 0.2.0) was removed from CRAN

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

2021-01-21 0.2.0
2019-04-09 0.1.1

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Package synthACS (with last version 1.7.1) was removed from CRAN

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

2022-10-26 1.7.1
2022-08-18 1.7.0
2022-07-07 1.6.2
2020-05-29 1.6.0
2020-04-25 1.5.7
2020-04-02 1.5.6
2020-03-24 1.5.5
2020-01-26 1.5.3
2019-07-22 1.5.2
2019-07-21 1.5.1
2019-07-14 1.5.0
2019-03-04 1.4.5
2019-01-02 1.4.4

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Package FLSSS (with last version 9.2.0) was removed from CRAN

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2025-01-24 9.2.0

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Package acs (with last version 2.1.4) was removed from CRAN

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

2019-02-19 2.1.4
2018-03-02 2.1.3
2017-10-10 2.1.2
2017-07-21 2.1.1
2017-07-03 2.1.0
2016-03-17 2.0
2014-01-22 1.2
2013-07-12 1.1
2013-06-21 1.0
2012-03-18 0.8
2012-02-23 0.5

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Package choroplethr (with last version 3.7.3) was removed from CRAN

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

2024-03-01 3.7.3
2023-07-06 3.7.2
2022-10-05 3.7.1
2020-08-11 3.7.0
2020-07-25 3.6.4
2018-08-15 3.6.3
2018-06-21 3.6.2
2017-04-16 3.6.1
2017-04-09 3.6.0
2017-01-10 3.5.3
2016-03-30 3.5.2
2016-03-25 3.5.1
2016-02-28 3.5.0
2016-01-01 3.4.0
2015-12-21 3.3.1
2015-09-28 3.3.0
2015-08-26 3.2.0
2015-05-05 3.1.0
2015-03-16 3.0.0
2014-12-11 2.1.1
2014-12-03 2.1.0
2014-10-27 2.0.0
2014-06-14 1.7.0
2014-06-02 1.6.0
2014-05-11 1.5.0
2014-03-30 1.4.0
2014-03-15 1.3.0
2014-03-06 1.2.0
2014-02-06 1.1.0

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Package teal.transform updated to version 0.6.0 with previous version 0.5.0 dated 2024-02-17

Title: Functions for Extracting and Merging Data in the 'teal' Framework
Description: A standardized user interface for column selection, that facilitates dataset merging in 'teal' framework.
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut], Maciej Nasinski [aut], Konrad Pagacz [aut], Junlue Zhao [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

Diff between teal.transform versions 0.5.0 dated 2024-02-17 and 0.6.0 dated 2025-02-12

 teal.transform-0.5.0/teal.transform/R/all_choices.R                                      |only
 teal.transform-0.5.0/teal.transform/R/data.R                                             |only
 teal.transform-0.5.0/teal.transform/data                                                 |only
 teal.transform-0.5.0/teal.transform/inst/doc/data-extract-merge.R                        |only
 teal.transform-0.5.0/teal.transform/inst/doc/data-extract-merge.Rmd                      |only
 teal.transform-0.5.0/teal.transform/inst/doc/data-extract-merge.html                     |only
 teal.transform-0.5.0/teal.transform/man/all_choices.Rd                                   |only
 teal.transform-0.5.0/teal.transform/man/rADAE.Rd                                         |only
 teal.transform-0.5.0/teal.transform/man/rADLB.Rd                                         |only
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 teal.transform-0.5.0/teal.transform/man/rADTTE.Rd                                        |only
 teal.transform-0.5.0/teal.transform/tests/testthat/test-all_choices.R                    |only
 teal.transform-0.5.0/teal.transform/vignettes/data-extract-merge.Rmd                     |only
 teal.transform-0.6.0/teal.transform/DESCRIPTION                                          |   34 -
 teal.transform-0.6.0/teal.transform/MD5                                                  |  175 +++---
 teal.transform-0.6.0/teal.transform/NAMESPACE                                            |    4 
 teal.transform-0.6.0/teal.transform/NEWS.md                                              |   10 
 teal.transform-0.6.0/teal.transform/R/call_utils.R                                       |   10 
 teal.transform-0.6.0/teal.transform/R/choices_labeled.R                                  |   19 
 teal.transform-0.6.0/teal.transform/R/choices_selected.R                                 |   32 -
 teal.transform-0.6.0/teal.transform/R/data_extract_filter_module.R                       |   15 
 teal.transform-0.6.0/teal.transform/R/data_extract_module.R                              |   21 
 teal.transform-0.6.0/teal.transform/R/data_extract_read_module.R                         |    8 
 teal.transform-0.6.0/teal.transform/R/data_extract_single_module.R                       |    6 
 teal.transform-0.6.0/teal.transform/R/data_extract_spec.R                                |    1 
 teal.transform-0.6.0/teal.transform/R/delayed_choices.R                                  |only
 teal.transform-0.6.0/teal.transform/R/filter_spec.R                                      |   20 
 teal.transform-0.6.0/teal.transform/R/format_data_extract.R                              |    1 
 teal.transform-0.6.0/teal.transform/R/get_dplyr_call.R                                   |   20 
 teal.transform-0.6.0/teal.transform/R/get_merge_call.R                                   |   30 -
 teal.transform-0.6.0/teal.transform/R/merge_datasets.R                                   |    6 
 teal.transform-0.6.0/teal.transform/R/merge_expression_module.R                          |    8 
 teal.transform-0.6.0/teal.transform/R/resolve.R                                          |    5 
 teal.transform-0.6.0/teal.transform/R/resolve_delayed.R                                  |    3 
 teal.transform-0.6.0/teal.transform/R/select_spec.R                                      |   18 
 teal.transform-0.6.0/teal.transform/R/utils.R                                            |   11 
 teal.transform-0.6.0/teal.transform/R/zzz.R                                              |    1 
 teal.transform-0.6.0/teal.transform/README.md                                            |   11 
 teal.transform-0.6.0/teal.transform/build/vignette.rds                                   |binary
 teal.transform-0.6.0/teal.transform/inst/WORDLIST                                        |    1 
 teal.transform-0.6.0/teal.transform/inst/doc/combining-data-extract-with-data-merge.R    |only
 teal.transform-0.6.0/teal.transform/inst/doc/combining-data-extract-with-data-merge.Rmd  |only
 teal.transform-0.6.0/teal.transform/inst/doc/combining-data-extract-with-data-merge.html |only
 teal.transform-0.6.0/teal.transform/inst/doc/data-extract.R                              |   38 +
 teal.transform-0.6.0/teal.transform/inst/doc/data-extract.Rmd                            |   36 +
 teal.transform-0.6.0/teal.transform/inst/doc/data-extract.html                           |  117 ++--
 teal.transform-0.6.0/teal.transform/inst/doc/data-merge.R                                |   74 ++
 teal.transform-0.6.0/teal.transform/inst/doc/data-merge.Rmd                              |   61 +-
 teal.transform-0.6.0/teal.transform/inst/doc/data-merge.html                             |  251 +++++-----
 teal.transform-0.6.0/teal.transform/inst/doc/teal-transform.Rmd                          |    4 
 teal.transform-0.6.0/teal.transform/inst/doc/teal-transform.html                         |    6 
 teal.transform-0.6.0/teal.transform/man/call_extract_array.Rd                            |    6 
 teal.transform-0.6.0/teal.transform/man/call_extract_matrix.Rd                           |    4 
 teal.transform-0.6.0/teal.transform/man/choices_labeled.Rd                               |    6 
 teal.transform-0.6.0/teal.transform/man/choices_selected.Rd                              |   28 -
 teal.transform-0.6.0/teal.transform/man/compose_and_enable_validators.Rd                 |    7 
 teal.transform-0.6.0/teal.transform/man/data_extract_multiple_srv.Rd                     |    7 
 teal.transform-0.6.0/teal.transform/man/data_extract_spec.Rd                             |    1 
 teal.transform-0.6.0/teal.transform/man/data_extract_srv.Rd                              |    1 
 teal.transform-0.6.0/teal.transform/man/data_extract_ui.Rd                               |    3 
 teal.transform-0.6.0/teal.transform/man/delayed_choices.Rd                               |only
 teal.transform-0.6.0/teal.transform/man/extract_choices_labels.Rd                        |    2 
 teal.transform-0.6.0/teal.transform/man/filter_spec.Rd                                   |   10 
 teal.transform-0.6.0/teal.transform/man/filter_spec_internal.Rd                          |    8 
 teal.transform-0.6.0/teal.transform/man/format_data_extract.Rd                           |    1 
 teal.transform-0.6.0/teal.transform/man/get_dplyr_call.Rd                                |    2 
 teal.transform-0.6.0/teal.transform/man/get_merge_key_i.Rd                               |    2 
 teal.transform-0.6.0/teal.transform/man/get_rename_call.Rd                               |    2 
 teal.transform-0.6.0/teal.transform/man/get_reshape_call.Rd                              |    2 
 teal.transform-0.6.0/teal.transform/man/merge_expression_module.Rd                       |    2 
 teal.transform-0.6.0/teal.transform/man/merge_expression_srv.Rd                          |    2 
 teal.transform-0.6.0/teal.transform/man/parse_merge_key_i.Rd                             |    2 
 teal.transform-0.6.0/teal.transform/man/resolve_delayed.Rd                               |    3 
 teal.transform-0.6.0/teal.transform/man/select_spec.Rd                                   |   14 
 teal.transform-0.6.0/teal.transform/man/value_choices.Rd                                 |    4 
 teal.transform-0.6.0/teal.transform/man/variable_choices.Rd                              |    3 
 teal.transform-0.6.0/teal.transform/tests/testthat/setup-logger.R                        |only
 teal.transform-0.6.0/teal.transform/tests/testthat/setup-options.R                       |only
 teal.transform-0.6.0/teal.transform/tests/testthat/test-choices_selected.R               |   18 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-data_extract_module.R            |    4 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-data_extract_multiple_srv.R      |    6 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-data_extract_spec.R              |    4 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-data_extract_srv.R               |   15 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-delayed_choices.R                |only
 teal.transform-0.6.0/teal.transform/tests/testthat/test-delayed_data_extract.R           |    8 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-dplyr_call_examples.R            |    2 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-filter_spec.R                    |   33 -
 teal.transform-0.6.0/teal.transform/tests/testthat/test-get_filter_call-datasets.R       |   34 -
 teal.transform-0.6.0/teal.transform/tests/testthat/test-resolve.R                        |    4 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-resolve_delayed.R                |   16 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-select_spec.R                    |   24 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-value_choices.R                  |    4 
 teal.transform-0.6.0/teal.transform/tests/testthat/test-variable_choices.R               |    4 
 teal.transform-0.6.0/teal.transform/vignettes/combining-data-extract-with-data-merge.Rmd |only
 teal.transform-0.6.0/teal.transform/vignettes/data-extract.Rmd                           |   36 +
 teal.transform-0.6.0/teal.transform/vignettes/data-merge.Rmd                             |   61 +-
 teal.transform-0.6.0/teal.transform/vignettes/teal-transform.Rmd                         |    4 
 98 files changed, 816 insertions(+), 640 deletions(-)

More information about teal.transform at CRAN
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