Thu, 23 Jan 2025

Package Surrogate updated to version 3.3.1 with previous version 3.3.0 dated 2024-06-12

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration (Grant Agreement no 602552), the Special Research Fund (BOF) of Hasselt University (BOF-number: BOF2OCPO3), GlaxoSmithKline Biologicals, Baekeland Mandaat (HBC.2022.0145), and Johnson & Johnson Innovative Medicine.
Author: Wim Van Der Elst [cre, aut], Florian Stijven [aut], Fenny Ong [aut], Dries De Witte [aut], Paul Meyvisch [aut], Alvaro Poveda [aut], Ariel Alonso [aut], Hannah Ensor [aut], Christoper Weir [aut], Geert Molenberghs [aut]
Maintainer: Wim Van Der Elst <wim.vanderelst@gmail.com>

Diff between Surrogate versions 3.3.0 dated 2024-06-12 and 3.3.1 dated 2025-01-23

 Surrogate-3.3.0/Surrogate/tests/testthat/fixtures/sens-results-ovarian-guassian-comp.rds             |only
 Surrogate-3.3.0/Surrogate/tests/testthat/test-ICABinCont_copula.R                                    |only
 Surrogate-3.3.1/Surrogate/DESCRIPTION                                                                |   14 
 Surrogate-3.3.1/Surrogate/MD5                                                                        |  287 +-
 Surrogate-3.3.1/Surrogate/NAMESPACE                                                                  |  453 ++--
 Surrogate-3.3.1/Surrogate/NEWS.md                                                                    |    6 
 Surrogate-3.3.1/Surrogate/R/AA.MultS.R                                                               |   34 
 Surrogate-3.3.1/Surrogate/R/Bootstrap.MEP.BinBin.R                                                   |  112 -
 Surrogate-3.3.1/Surrogate/R/CbC.R                                                                    |   61 
 Surrogate-3.3.1/Surrogate/R/ECT.R                                                                    |   10 
 Surrogate-3.3.1/Surrogate/R/ICA.Cont.Cont.MultS.R                                                    |    4 
 Surrogate-3.3.1/Surrogate/R/ICAContCont.R                                                            |    4 
 Surrogate-3.3.1/Surrogate/R/ICA_ContCont_copula.R                                                    |only
 Surrogate-3.3.1/Surrogate/R/ICA_OrdCont_copula.R                                                     |only
 Surrogate-3.3.1/Surrogate/R/ICA_OrdOrd_copula.R                                                      |only
 Surrogate-3.3.1/Surrogate/R/ICA_SurvSurv_copula.R                                                    |  298 +-
 Surrogate-3.3.1/Surrogate/R/ISTE.ContCont.R                                                          |  204 -
 Surrogate-3.3.1/Surrogate/R/ITCI-Dvine-inference-utils.R                                             |  904 +++++---
 Surrogate-3.3.1/Surrogate/R/MICAContCont.R                                                           |    4 
 Surrogate-3.3.1/Surrogate/R/MinSurrContCont.R                                                        |    4 
 Surrogate-3.3.1/Surrogate/R/Plot.FixedDiscrDiscrIT.R                                                 |    1 
 Surrogate-3.3.1/Surrogate/R/Pred.TrialT.ContCont.R                                                   |   80 
 Surrogate-3.3.1/Surrogate/R/Prentice.R                                                               |   40 
 Surrogate-3.3.1/Surrogate/R/Single.Trial.RE.AA.R                                                     |  318 +-
 Surrogate-3.3.1/Surrogate/R/SummaryITContCont.R                                                      |   29 
 Surrogate-3.3.1/Surrogate/R/SummaryMaxEntSPFBinBin.R                                                 |   19 
 Surrogate-3.3.1/Surrogate/R/SummaryMetaAnalyticMTSContCont.R                                         |   64 
 Surrogate-3.3.1/Surrogate/R/SummaryMetaAnalyticSTSContCont.R                                         |   19 
 Surrogate-3.3.1/Surrogate/R/SummarySPPBinBin.R                                                       |   81 
 Surrogate-3.3.1/Surrogate/R/SummaryTrialLevelMA.R                                                    |    5 
 Surrogate-3.3.1/Surrogate/R/Surrogate-package.R                                                      |only
 Surrogate-3.3.1/Surrogate/R/copula_utils.R                                                           |  302 ++
 Surrogate-3.3.1/Surrogate/R/fit_model_BinCont_copula.R                                               |  999 ++++-----
 Surrogate-3.3.1/Surrogate/R/fit_model_ContCont_copula.R                                              |only
 Surrogate-3.3.1/Surrogate/R/fit_model_OrdCont_copula.R                                               |only
 Surrogate-3.3.1/Surrogate/R/fit_model_OrdOrd_copula.R                                                |only
 Surrogate-3.3.1/Surrogate/R/fit_model_SurvSurv.R                                                     | 1092 +++++-----
 Surrogate-3.3.1/Surrogate/R/goodness_of_fit_copula_models.R                                          |only
 Surrogate-3.3.1/Surrogate/R/likelihood_copula_models.R                                               |   14 
 Surrogate-3.3.1/Surrogate/R/plot.BinContCombnIT.R                                                    |    1 
 Surrogate-3.3.1/Surrogate/R/plot.Fano.BinBin.R                                                       |    1 
 Surrogate-3.3.1/Surrogate/R/plot.InfoTheoretic.R                                                     |    1 
 Surrogate-3.3.1/Surrogate/R/plot.MaxEntContCont.R                                                    |    1 
 Surrogate-3.3.1/Surrogate/R/plot.MaxEntSPF.BinBin.R                                                  |   98 
 Surrogate-3.3.1/Surrogate/R/plot.MetaAnalyticMTS.R                                                   |    3 
 Surrogate-3.3.1/Surrogate/R/plot.MetaAnalyticSTS.R                                                   |    1 
 Surrogate-3.3.1/Surrogate/R/plot.PPE.BinBin.R                                                        |    1 
 Surrogate-3.3.1/Surrogate/R/plot.SurvSurv.R                                                          |    1 
 Surrogate-3.3.1/Surrogate/R/plot.TrialLevelIT.R                                                      |    1 
 Surrogate-3.3.1/Surrogate/R/plot.TrialLevelMA.R                                                      |    1 
 Surrogate-3.3.1/Surrogate/R/plot.TwoStageSurvSurv.R                                                  |    1 
 Surrogate-3.3.1/Surrogate/R/plot.comb27.BinBin.R                                                     |   13 
 Surrogate-3.3.1/Surrogate/R/plot_ICABinBin.R                                                         |    1 
 Surrogate-3.3.1/Surrogate/R/plot_ICABinCont.R                                                        |    1 
 Surrogate-3.3.1/Surrogate/R/plot_MaxEntICABinBin.R                                                   |   15 
 Surrogate-3.3.1/Surrogate/R/plot_SPF.BinCont.R                                                       |   38 
 Surrogate-3.3.1/Surrogate/R/plot_SPPBinBin.R                                                         |  602 ++---
 Surrogate-3.3.1/Surrogate/R/sensitivity_analysis_SurvSurv.R                                          |  876 ++++----
 Surrogate-3.3.1/Surrogate/R/sensitivity_analysis_copula.R                                            |only
 Surrogate-3.3.1/Surrogate/R/sensitivity_intervals.R                                                  |  435 ++-
 Surrogate-3.3.1/Surrogate/R/summary.Fano.BinBin.R                                                    |   53 
 Surrogate-3.3.1/Surrogate/R/summary.FixedDIscrDiscrIT.R                                              |   19 
 Surrogate-3.3.1/Surrogate/R/summary.MuContCont.MultS.R                                               |   36 
 Surrogate-3.3.1/Surrogate/R/summary.PPE.BinBin.R                                                     |   26 
 Surrogate-3.3.1/Surrogate/R/summary.SurvSurv.R                                                       |   17 
 Surrogate-3.3.1/Surrogate/R/summary.TrialLevelIT.R                                                   |    9 
 Surrogate-3.3.1/Surrogate/R/summary.TwoStageSurvSurv.R                                               |   10 
 Surrogate-3.3.1/Surrogate/R/summaryBinContCombnIT.R                                                  |   29 
 Surrogate-3.3.1/Surrogate/R/summary_ICABinBin.R                                                      |   95 
 Surrogate-3.3.1/Surrogate/R/summary_ICABinCont.R                                                     |   19 
 Surrogate-3.3.1/Surrogate/R/summary_MaxEntContCont.R                                                 |   15 
 Surrogate-3.3.1/Surrogate/R/summary_MaxEntICABinBin.R                                                |   15 
 Surrogate-3.3.1/Surrogate/R/summary_SPFBinCont.R                                                     |   37 
 Surrogate-3.3.1/Surrogate/man/Dvine_ICA_confint.Rd                                                   |    3 
 Surrogate-3.3.1/Surrogate/man/FederatedApproachStage1.Rd                                             |    2 
 Surrogate-3.3.1/Surrogate/man/FederatedApproachStage2.Rd                                             |    2 
 Surrogate-3.3.1/Surrogate/man/FixedDiscrDiscrIT.Rd                                                   |  244 +-
 Surrogate-3.3.1/Surrogate/man/ICA_given_model_constructor.Rd                                         |   27 
 Surrogate-3.3.1/Surrogate/man/ICA_given_model_constructor_SurvSurv.Rd                                |only
 Surrogate-3.3.1/Surrogate/man/Schizo.Rd                                                              |    4 
 Surrogate-3.3.1/Surrogate/man/Surrogate-package.Rd                                                   |only
 Surrogate-3.3.1/Surrogate/man/association_gof_copula.Rd                                              |only
 Surrogate-3.3.1/Surrogate/man/clayton_loglik_copula_scale.Rd                                         |    5 
 Surrogate-3.3.1/Surrogate/man/compute_ICA.Rd                                                         |only
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 Surrogate-3.3.1/Surrogate/man/compute_ICA_OrdCont.Rd                                                 |only
 Surrogate-3.3.1/Surrogate/man/compute_ICA_OrdOrd.Rd                                                  |only
 Surrogate-3.3.1/Surrogate/man/compute_ICA_SurvSurv.Rd                                                |    6 
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 Surrogate-3.3.1/Surrogate/man/delta_method_log_mutinfo.Rd                                            |    3 
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 Surrogate-3.3.1/Surrogate/man/estimate_ICA_OrdOrd.Rd                                                 |only
 Surrogate-3.3.1/Surrogate/man/estimate_marginal.Rd                                                   |only
 Surrogate-3.3.1/Surrogate/man/figures                                                                |only
 Surrogate-3.3.1/Surrogate/man/fit_copula_ContCont.Rd                                                 |only
 Surrogate-3.3.1/Surrogate/man/fit_copula_OrdCont.Rd                                                  |only
 Surrogate-3.3.1/Surrogate/man/fit_copula_OrdOrd.Rd                                                   |only
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 Surrogate-3.3.1/Surrogate/man/fit_copula_submodel_OrdCont.Rd                                         |only
 Surrogate-3.3.1/Surrogate/man/fit_copula_submodel_OrdOrd.Rd                                          |only
 Surrogate-3.3.1/Surrogate/man/fit_model_SurvSurv.Rd                                                  |    2 
 Surrogate-3.3.1/Surrogate/man/frank_loglik_copula_scale.Rd                                           |    5 
 Surrogate-3.3.1/Surrogate/man/gaussian_loglik_copula_scale.Rd                                        |    5 
 Surrogate-3.3.1/Surrogate/man/gumbel_loglik_copula_scale.Rd                                          |    5 
 Surrogate-3.3.1/Surrogate/man/log_likelihood_copula_model.Rd                                         |    6 
 Surrogate-3.3.1/Surrogate/man/loglik_copula_scale.Rd                                                 |   14 
 Surrogate-3.3.1/Surrogate/man/marginal_gof_copula.Rd                                                 |only
 Surrogate-3.3.1/Surrogate/man/new_vine_copula_fit.Rd                                                 |only
 Surrogate-3.3.1/Surrogate/man/ordinal_continuous_loglik.Rd                                           |only
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 Surrogate-3.3.1/Surrogate/man/ordinal_to_cutpoints.Rd                                                |only
 Surrogate-3.3.1/Surrogate/man/plot.vine_copula_fit.Rd                                                |only
 Surrogate-3.3.1/Surrogate/man/print.vine_copula_fit.Rd                                               |only
 Surrogate-3.3.1/Surrogate/man/sensitivity_analysis_SurvSurv_copula.Rd                                |    5 
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 Surrogate-3.3.1/Surrogate/man/sensitivity_intervals_Dvine.Rd                                         |   10 
 Surrogate-3.3.1/Surrogate/man/summary_level_bootstrap_ICA.Rd                                         |   16 
 Surrogate-3.3.1/Surrogate/man/twostep_SurvSurv.Rd                                                    |    2 
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 Surrogate-3.3.1/Surrogate/tests/testthat/fixtures/fit-and-save-models.R                              |   89 
 Surrogate-3.3.1/Surrogate/tests/testthat/fixtures/ovarian-data-scr.rds                               |binary
 Surrogate-3.3.1/Surrogate/tests/testthat/fixtures/ovarian-dvine-clayton.rds                          |binary
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 Surrogate-3.3.1/Surrogate/tests/testthat/fixtures/ovarian-dvine-variable.rds                         |binary
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 Surrogate-3.3.1/Surrogate/tests/testthat/test-ICA_OrdCont_copula.R                                   |only
 Surrogate-3.3.1/Surrogate/tests/testthat/test-ICA_OrdOrd_copula.R                                    |only
 Surrogate-3.3.1/Surrogate/tests/testthat/test-ICA_SurvSurv_copula.R                                  |    4 
 Surrogate-3.3.1/Surrogate/tests/testthat/test-ITCI-Dvine-inference-utils.R                           |  117 -
 Surrogate-3.3.1/Surrogate/tests/testthat/test-MetaAnalyticSurvBin.R                                  |   33 
 Surrogate-3.3.1/Surrogate/tests/testthat/test-MetaAnalyticSurvCat.R                                  |   33 
 Surrogate-3.3.1/Surrogate/tests/testthat/test-MetaAnalyticSurvCont.R                                 |   34 
 Surrogate-3.3.1/Surrogate/tests/testthat/test-MetaAnalyticSurvSurv.R                                 |   46 
 Surrogate-3.3.1/Surrogate/tests/testthat/test-copula_utils.R                                         |   11 
 Surrogate-3.3.1/Surrogate/tests/testthat/test-fit_model_ContCont_copula.R                            |only
 Surrogate-3.3.1/Surrogate/tests/testthat/test-fit_model_OrdCont_copula.R                             |only
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 Surrogate-3.3.1/Surrogate/tests/testthat/test-likelihood_copula_models.R                             |   28 
 Surrogate-3.3.1/Surrogate/tests/testthat/test-sensitivity_analysis_BinCont_copula.R                  |   84 
 Surrogate-3.3.1/Surrogate/tests/testthat/test-sensitivity_analysis_SurvSurv.R                        |  311 +-
 Surrogate-3.3.1/Surrogate/tests/testthat/test-sensitivity_analysis_copula.R                          |only
 Surrogate-3.3.1/Surrogate/tests/testthat/test-sensitivity_intervals.R                                |  363 ++-
 160 files changed, 5454 insertions(+), 4357 deletions(-)

More information about Surrogate at CRAN
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Package dietr updated to version 1.1.6-1 with previous version 1.1.6 dated 2025-01-13

Title: Diet Estimated Trophic Levels
Description: Estimates fractional trophic level from quantitative and qualitative diet data and calculates electivity indices in R. Borstein (2020) <doi:10.1007/s10750-020-04417-5>.
Author: Samuel R. Borstein [aut, cre]
Maintainer: Samuel R. Borstein <sam@borstein.com>

Diff between dietr versions 1.1.6 dated 2025-01-13 and 1.1.6-1 dated 2025-01-23

 DESCRIPTION                               |    8 ++++----
 MD5                                       |   28 ++++++++++++++--------------
 NEWS.md                                   |    2 +-
 R/ConvertFishbaseDiet.R                   |    9 +++++----
 R/ConvertFishbaseFood.R                   |    7 +++++--
 R/DietTroph.R                             |    2 +-
 R/FoodTroph.R                             |    2 +-
 inst/doc/dietr-vignette.html              |    2 +-
 man/ConvertFishbaseDiet.Rd                |    9 ++++++---
 man/ConvertFishbaseFood.Rd                |    7 ++++++-
 man/DietTroph.Rd                          |    2 ++
 man/FoodTroph.Rd                          |    2 ++
 tests/testthat/test_ConvertFishbaseDiet.R |   20 +++++++++++---------
 tests/testthat/test_ConvertFishbaseFood.R |   18 +++++++++---------
 tests/testthat/test_FoodTroph.R           |    1 +
 15 files changed, 69 insertions(+), 50 deletions(-)

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Package tidycensus updated to version 1.7.0 with previous version 1.6.7 dated 2024-10-17

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tidycensus versions 1.6.7 dated 2024-10-17 and 1.7.0 dated 2025-01-23

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 12 files changed, 74 insertions(+), 43 deletions(-)

More information about tidycensus at CRAN
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Package SEMdeep updated to version 1.0.0 with previous version 0.1.0 dated 2024-09-16

Title: Structural Equation Modeling with Deep Neural Network and Machine Learning
Description: Training and validation of a custom (or data-driven) Structural Equation Models using layer-wise Deep Neural Networks or node-wise Machine Learning algorithms, which extend the fitting procedures of the 'SEMgraph' R package <doi:10.32614/CRAN.package.SEMgraph>.
Author: Mario Grassi [aut], Barbara Tarantino [cre]
Maintainer: Barbara Tarantino <barbara.tarantino01@universitadipavia.it>

Diff between SEMdeep versions 0.1.0 dated 2024-09-16 and 1.0.0 dated 2025-01-23

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 SEMdeep-1.0.0/SEMdeep/NEWS.md                      |   33 
 SEMdeep-1.0.0/SEMdeep/R/SEMdnn.R                   | 1156 ++++++++++++---------
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 23 files changed, 2501 insertions(+), 1616 deletions(-)

More information about SEMdeep at CRAN
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New package somhca with initial version 0.1.3
Package: somhca
Title: Self-Organising Maps Coupled with Hierarchical Cluster Analysis
Version: 0.1.3
Description: Implements self-organising maps combined with hierarchical cluster analysis (SOM-HCA) for clustering and visualization of high-dimensional data. The package includes functions to estimate the optimal map size based on various quality measures and subsequently generates a model with the selected dimensions. It also performs hierarchical clustering on the map nodes to group similar units Documentation about the SOM-HCA method is provided in Pastorelli et al. (2024) <doi:10.1002/xrs.3388>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: dplyr, kohonen, aweSOM, maptree, RColorBrewer
NeedsCompilation: no
Packaged: 2025-01-22 11:11:40 UTC; B041254
Author: Gianluca Pastorelli [aut, cre]
Maintainer: Gianluca Pastorelli <gianluca.pastorelli@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-23 19:00:01 UTC

More information about somhca at CRAN
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Package fragility updated to version 1.6.1 with previous version 1.6 dated 2024-11-21

Title: Assessing and Visualizing Fragility of Clinical Results with Binary Outcomes
Description: A collection of user-friendly functions for assessing and visualizing fragility of individual studies (Walsh et al., 2014 <doi:10.1016/j.jclinepi.2013.10.019>; Lin, 2021 <doi:10.1111/jep.13428>), conventional pairwise meta-analyses (Atal et al., 2019 <doi:10.1016/j.jclinepi.2019.03.012>), and network meta-analyses of multiple treatments with binary outcomes (Xing et al., 2020 <doi:10.1016/j.jclinepi.2020.07.003>). The included functions are designed to: 1) calculate the fragility index (i.e., the minimal event status modifications that can alter the significance or non-significance of the original result) and fragility quotient (i.e., fragility index divided by sample size) at a specific significance level; 2) give the cases of event status modifications for altering the result's significance or non-significance and visualize these cases; 3) visualize the trend of statistical significance as event status is modified; 4) efficiently derive fragility indexes and f [...truncated...]
Author: Lifeng Lin [aut, cre] , Haitao Chu [aut]
Maintainer: Lifeng Lin <lifenglin@arizona.edu>

Diff between fragility versions 1.6 dated 2024-11-21 and 1.6.1 dated 2025-01-23

 DESCRIPTION                |    8 ++++----
 MD5                        |   28 ++++++++++++++--------------
 man/frag.ma.Rd             |    6 ++++--
 man/frag.ma.alpha.Rd       |    4 ++--
 man/frag.mas.Rd            |    4 ++--
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Package curl updated to version 6.2.0 with previous version 6.1.0 dated 2025-01-06

Title: A Modern and Flexible Web Client for R
Description: Bindings to 'libcurl' <https://curl.se/libcurl/> for performing fully configurable HTTP/FTP requests where responses can be processed in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr2' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] , Hadley Wickham [ctb], Posit Software, PBC [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between curl versions 6.1.0 dated 2025-01-06 and 6.2.0 dated 2025-01-23

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 14 files changed, 121 insertions(+), 89 deletions(-)

More information about curl at CRAN
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Package condathis updated to version 0.1.1 with previous version 0.1.0 dated 2024-12-11

Title: Run Any CLI Tool on a 'Conda' Environment
Description: Simplifies the execution of command line interface (CLI) tools within isolated and reproducible environments. It enables users to effortlessly manage 'Conda' environments, execute command line tools, handle dependencies, and ensure reproducibility in their data analysis workflows.
Author: Lucio Queiroz [aut, cre, cph] , Claudio Zanettini [aut, ctb]
Maintainer: Lucio Queiroz <luciorqueiroz@gmail.com>

Diff between condathis versions 0.1.0 dated 2024-12-11 and 0.1.1 dated 2025-01-23

 DESCRIPTION                   |    6 +--
 MD5                           |   14 ++++-----
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 man/install_micromamba.Rd     |    2 -
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 8 files changed, 121 insertions(+), 18 deletions(-)

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New package AntibodyForests with initial version 1.0.0
Package: AntibodyForests
Title: Delineating Inter- And Intra-Antibody Repertoire Evolution
Version: 1.0.0
Maintainer: Daphne van Ginneken <daphne.v.ginneken@gmail.com>
Description: The generated wealth of immune repertoire sequencing data requires software to investigate and quantify inter- and intra-antibody repertoire evolution to uncover how B cells evolve during immune responses. Here, we present 'AntibodyForests', a software to investigate and quantify inter- and intra-antibody repertoire evolution.
License: GPL-2
Depends: R (>= 4.0.0)
Imports: ape, Biostrings, dplyr, graphics, grDevices, gtools, igraph, magrittr, parallel, pwalign, rlang, scales, seqinr, stats, stringdist, stringr, tidyr, utils, viridis
Suggests: alakazam, base64enc, bio3d, combinat, devtools, DT, fpc, ggplot2, ggrepel, ggsignif, htmltools, knitr, msa, phangorn, pheatmap, Peptides, Rcompadre, rmarkdown, RPANDA, swipeR
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-22 10:51:08 UTC; dginneke
Author: Daphne van Ginneken [aut, cre], Alexander Yermanos [aut], Valentijn Tromp [aut], Tudor-Stefan Cotet [ctb]
Repository: CRAN
Date/Publication: 2025-01-23 19:00:12 UTC

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Package nmadb (with last version 1.2.0) was removed from CRAN

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

2019-12-19 1.2.0
2019-11-29 1.1.0
2019-05-09 1.0.0

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Package zdeskR updated to version 0.4.2 with previous version 0.4.1 dated 2024-03-25

Title: Connect to Your 'Zendesk' Data
Description: Facilitates making a connection to the 'Zendesk' API and executing various queries. You can use it to get ticket, ticket metrics, and user data. The 'Zendesk' documentation is available at <https://developer.zendesk.com/rest_api /docs/support/introduction>. This package is not supported by 'Zendesk' (owner of the software).
Author: Chris Umphlett [aut, cre], Avinash Panigrahi [aut]
Maintainer: Chris Umphlett <christopher.umphlett@gmail.com>

Diff between zdeskR versions 0.4.1 dated 2024-03-25 and 0.4.2 dated 2025-01-23

 DESCRIPTION                 |    8 +-
 MD5                         |   12 +--
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 7 files changed, 82 insertions(+), 82 deletions(-)

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New package undidR with initial version 1.0.0
Package: undidR
Title: Difference-in-Differences with Unpoolable Data
Version: 1.0.0
Maintainer: Eric Jamieson <ericbrucejamieson@gmail.com>
Description: A framework for estimating difference-in-differences with unpoolable data, based on Karim, Webb, Austin, and Strumpf (2024) <doi:10.48550/arXiv.2403.15910>. Supports common or staggered adoption, multiple groups, and the inclusion of covariates. Also computes p-values for the aggregate average treatment effect on the treated via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.
License: MIT + file LICENSE
Depends: R (>= 4.0)
Imports: graphics, grDevices, stats, utils
Encoding: UTF-8
URL: https://github.com/ebjamieson97/undidR, https://ebjamieson97.github.io/undidR/
BugReports: https://github.com/ebjamieson97/undidR/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-22 00:13:41 UTC; Eric Bruce Jamieson
Author: Eric Jamieson [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-01-23 17:30:05 UTC

More information about undidR at CRAN
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New package SlideCNA with initial version 0.1.0
Package: SlideCNA
Title: Calls Copy Number Alterations from Slide-Seq Data
Version: 0.1.0
Description: This takes spatial single-cell-type RNA-seq data (specifically designed for Slide-seq v2) that calls copy number alterations (CNAs) using pseudo-spatial binning, clusters cellular units (e.g. beads) based on CNA profile, and visualizes spatial CNA patterns. Documentation about 'SlideCNA' is included in the the pre-print by Zhang et al. (2022, <doi:10.1101/2022.11.25.517982>). The package 'enrichR' (>= 3.0), conditionally used to annotate SlideCNA-determined clusters with gene ontology terms, can be installed at <https://github.com/wjawaid/enrichR> or with install_github("wjawaid/enrichR").
Imports: data.table, reshape2, dplyr, ggplot2, scales, pheatmap, cluster, factoextra, dendextend, Seurat, tidyselect, stringr, magrittr, tibble, futile.logger, mltools, utils
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), enrichR (>= 3.0)
NeedsCompilation: no
Packaged: 2025-01-22 04:05:22 UTC; dzhang
Author: Diane Zhang [aut, cre] , Johanna Klughammer [aut] , Jan Watter [aut] , Broad Institute of MIT and Harvard [cph, fnd]
Maintainer: Diane Zhang <dkzhang711@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-23 17:40:05 UTC

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New package pattern.checks with initial version 0.1.0
Package: pattern.checks
Title: Identifies Patterned Responses in Scales
Version: 0.1.0
Description: Identifies the entries with patterned responses for psychometric scales. The patterns included in the package are identical (a, a, a), ascending (a, b, c), descending (c, b, a), alternative (a, b, a, b / a, b, c, a, b, c).
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-22 04:48:03 UTC; JZL
Author: JASEEL C K [aut, cre]
Maintainer: JASEEL C K <jzlckclt@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-23 17:40:01 UTC

More information about pattern.checks at CRAN
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New package ncaavolleyballr with initial version 0.4.1
Package: ncaavolleyballr
Title: Extract Data from NCAA Women's and Men's Volleyball Website
Version: 0.4.1
Maintainer: Jeffrey R. Stevens <jeffrey.r.stevens@protonmail.com>
Description: Extracts team records/schedules and player statistics for the 2020-2024 National Collegiate Athletic Association (NCAA) women's and men's divisions I, II, and III volleyball teams from <https://stats.ncaa.org>. Functions can aggregate statistics for teams, conferences, divisions, or custom groups of teams.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: cli, curl, dplyr, httr2, lifecycle, purrr, rlang, rvest, stringr, tibble, tidyr, xml2
Suggests: knitr, quarto, testthat (>= 3.0.0)
URL: https://github.com/JeffreyRStevens/ncaavolleyballr, https://jeffreyrstevens.github.io/ncaavolleyballr/
BugReports: https://github.com/JeffreyRStevens/ncaavolleyballr/issues
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2025-01-21 23:47:24 UTC; jstevens
Author: Jeffrey R. Stevens [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-01-23 17:30:09 UTC

More information about ncaavolleyballr at CRAN
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Package datasauRus updated to version 0.1.9 with previous version 0.1.8 dated 2024-02-26

Title: Datasets from the Datasaurus Dozen
Description: The Datasaurus Dozen is a set of datasets with the same summary statistics. They retain the same summary statistics despite having radically different distributions. The datasets represent a larger and quirkier object lesson that is typically taught via Anscombe's Quartet (available in the 'datasets' package). Anscombe's Quartet contains four very different distributions with the same summary statistics and as such highlights the value of visualisation in understanding data, over and above summary statistics. As well as being an engaging variant on the Quartet, the data is generated in a novel way. The simulated annealing process used to derive datasets from the original Datasaurus is detailed in "Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing" <doi:10.1145/3025453.3025912>.
Author: Colin Gillespie [cre, aut], Steph Locke [aut], Alberto Cairo [dtc], Rhian Davies [aut], Justin Matejka [dtc], George Fitzmaurice [dtc], Lucy D'Agostino McGowan [aut], Richard Cotton [ctb], Tim Book [ctb], Jumping Rivers [fnd]
Maintainer: Colin Gillespie <colin@jumpingrivers.com>

Diff between datasauRus versions 0.1.8 dated 2024-02-26 and 0.1.9 dated 2025-01-23

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Package spatstat updated to version 3.3-1 with previous version 3.3-0 dated 2024-11-19

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat versions 3.3-0 dated 2024-11-19 and 3.3-1 dated 2025-01-23

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More information about spatstat at CRAN
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Package rworkflows updated to version 1.0.6 with previous version 1.0.2 dated 2024-09-22

Title: Test, Document, Containerise, and Deploy R Packages
Description: Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often require considerable time, effort, and technical expertise to setup. We therefore developed the rworkflows suite to make robust CI workflows easy and freely accessible to all R package developers. rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 2) an R package to quickly implement a standardised workflow, and 3) a centrally maintained GitHub Action.
Author: Brian Schilder [aut, cre] , Alan Murphy [aut, ctb] , Nathan Skene [aut]
Maintainer: Brian Schilder <brian_schilder@alumni.brown.edu>

Diff between rworkflows versions 1.0.2 dated 2024-09-22 and 1.0.6 dated 2025-01-23

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More information about rworkflows at CRAN
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Package namer updated to version 0.1.9 with previous version 0.1.8 dated 2024-02-29

Title: Names Your 'R Markdown' Chunks
Description: It names the 'R Markdown' chunks of files based on the filename.
Author: Colin Gillespie [aut, cre], Steph Locke [aut], Maelle Salmon [aut] , Ellis Valentiner [ctb], Charlie Hadley [ctb] , Jumping Rivers [fnd] , Han Oostdijk [ctb] , Patrick Schratz [ctb]
Maintainer: Colin Gillespie <colin@jumpingrivers.com>

Diff between namer versions 0.1.8 dated 2024-02-29 and 0.1.9 dated 2025-01-23

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More information about namer at CRAN
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Package mcmcr updated to version 0.6.2 with previous version 0.6.1 dated 2021-09-06

Title: Manipulate MCMC Samples
Description: Functions and classes to store, manipulate and summarise Monte Carlo Markov Chain (MCMC) samples. For more information see Brooks et al. (2011) <isbn:978-1-4200-7941-8>.
Author: Joe Thorley [aut, cre] , Kirill Mueller [ctb] , Nadine Hussein [ctb] , Ayla Pearson [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between mcmcr versions 0.6.1 dated 2021-09-06 and 0.6.2 dated 2025-01-23

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Package Matrix updated to version 1.7-2 with previous version 1.7-1 dated 2024-10-18

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of sparse and dense matrix classes, including general, symmetric, triangular, and diagonal matrices with numeric, logical, or pattern entries. Efficient methods for operating on such matrices, often wrapping the 'BLAS', 'LAPACK', and 'SuiteSparse' libraries.
Author: Douglas Bates [aut] , Martin Maechler [aut, cre] , Mikael Jagan [aut] , Timothy A. Davis [ctb] , pattern="License", full.names=TRUE, recursive=TRUE)), George Karypis [ctb] , Jason Riedy [ctb] and onenormest, Copyright: Regents of the University of C [...truncated...]
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

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Package lorentz updated to version 1.1-2 with previous version 1.1-1 dated 2024-04-02

Title: The Lorentz Transform in Relativistic Physics
Description: The Lorentz transform in special relativity; also the gyrogroup structure of three-velocities. Performs active and passive transforms and has the ability to use units in which the speed of light is not unity. Includes some experimental functionality for celerity and rapidity. For general relativity, see the 'schwarzschild' package.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package graphlayouts updated to version 1.2.2 with previous version 1.2.1 dated 2024-11-18

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow the user to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

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Package altdoc updated to version 0.5.0 with previous version 0.4.0 dated 2024-07-23

Title: Package Documentation Websites with 'Quarto', 'Docsify', 'Docute', or 'MkDocs'
Description: This is a simple and powerful package to create, render, preview, and deploy documentation websites for 'R' packages. It is a lightweight and flexible alternative to 'pkgdown', with support for many documentation generators, including 'Quarto', 'Docute', 'Docsify', and 'MkDocs'.
Author: Etienne Bacher [aut, cre, cph], Vincent Arel-Bundock [aut]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

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Package mapmixture updated to version 1.2.0 with previous version 1.1.4 dated 2024-09-25

Title: Spatial Visualisation of Admixture on a Projected Map
Description: Visualise admixture as pie charts on a projected map, admixture as traditional structure barplots or facet barplots, and scatter plots from genotype principal components analysis. A 'shiny' app allows users to create admixture maps interactively. Jenkins TL (2024) <doi:10.1111/1755-0998.13943>.
Author: Tom Jenkins [aut, cre, cph]
Maintainer: Tom Jenkins <tom.l.jenkins@outlook.com>

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Package RNCEP updated to version 1.0.11 with previous version 1.0.10 dated 2020-05-27

Title: Obtain, Organize, and Visualize NCEP Weather Data
Description: Contains functions to retrieve, organize, and visualize weather data from the NCEP/NCAR Reanalysis (<https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html>) and NCEP/DOE Reanalysis II (<https://psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html>) datasets. Data are queried via the Internet and may be obtained for a specified spatial and temporal extent or interpolated to a point in space and time. We also provide functions to visualize these weather data on a map. There are also functions to simulate flight trajectories according to specified behavior using either NCEP wind data or data specified by the user.
Author: Michael U. Kemp [aut, cre], E. Emiel van Loon [ths], Judy Shamoun-Baranes [ths], Willem Bouten [ths]
Maintainer: Michael U. Kemp <mukemp+RNCEP@gmail.com>

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Package qlcal updated to version 0.0.14 with previous version 0.0.13 dated 2024-10-15

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel [aut, cre] , QuantLib Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package LFM updated to version 0.2.0 with previous version 0.1.0 dated 2024-11-19

Title: Laplace Factor Model Analysis and Evaluation
Description: Enables the generation of Laplace factor models across diverse Laplace distributions and facilitates the application of Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Projected Principal Component (PPC), Perturbation Principal Component (PPC), Stochastic Approximation Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods and Farm Test methods to these models. Evaluates the efficacy of these methods within the context of Laplace factor models by scrutinizing parameter estimation accuracy, mean square error, and the degree of sparsity.
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package telescope updated to version 0.2-0 with previous version 0.1-0 dated 2024-06-15

Title: Bayesian Mixtures with an Unknown Number of Components
Description: Fits Bayesian finite mixtures with an unknown number of components using the telescoping sampler and different component distributions. For more details see Frühwirth-Schnatter et al. (2021) <doi:10.1214/21-BA1294>.
Author: Gertraud Malsiner-Walli [aut, cre] , Bettina Gruen [aut] , Sylvia Fruehwirth-Schnatter [aut]
Maintainer: Gertraud Malsiner-Walli <Gertraud.Malsiner-Walli@wu.ac.at>

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Package bbnet updated to version 1.1.0 with previous version 1.0.1 dated 2024-05-18

Title: Create Simple Predictive Models on Bayesian Belief Networks
Description: A system to build, visualise and evaluate Bayesian belief networks. The methods are described in Stafford et al. (2015) <doi:10.12688/f1000research.5981.1>.
Author: Victoria Dominguez Almela [cre, aut] , Richard Stafford [cph, aut]
Maintainer: Victoria Dominguez Almela <vda1r22@soton.ac.uk>

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Package pharmaversesdtm updated to version 1.2.0 with previous version 1.1.0 dated 2024-10-25

Title: SDTM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) datasets inside the pharmaverse family of packages. SDTM dataset specifications are described in the CDISC SDTM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Edoardo Mancini [aut, cre] , Gayatri G [aut], Kangjie Zhang [aut], Pooja Kumari [aut], Stefan Bundfuss [aut] , Zelos Zhu [aut], Sadchla Mascary [aut], Vladyslav Shuliar [aut] , Vinh Nguyen [aut]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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

Title: Exploring Water Quality Monitoring Data
Description: Functions to assist in the processing and exploration of data from environmental monitoring programs. The package name stands for "water quality" and reflects the original focus on time series data for physical and chemical properties of water, as well as the biota. Intended for programs that sample approximately monthly, quarterly or annually at discrete stations, a feature of many legacy data sets. Most of the functions should be useful for analysis of similar-frequency time series regardless of the subject matter.
Author: Alan Jassby [aut], James Cloern [ctb], Jemma Stachelek [ctb, cre]
Maintainer: Jemma Stachelek <jemma.stachelek@gmail.com>

Diff between wql versions 1.0.1 dated 2024-05-28 and 1.0.2 dated 2025-01-23

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Package rtmpt updated to version 2.0-2 with previous version 2.0-1 dated 2024-04-04

Title: Fitting (Exponential/Diffusion) RT-MPT Models
Description: Fit (exponential or diffusion) response-time extended multinomial processing tree (RT-MPT) models by Klauer and Kellen (2018) <doi:10.1016/j.jmp.2017.12.003> and Klauer, Hartmann, and Meyer-Grant (submitted). The RT-MPT class not only incorporate frequencies like traditional multinomial processing tree (MPT) models, but also latencies. This enables it to estimate process completion times and encoding plus motor execution times next to the process probabilities of traditional MPTs. 'rtmpt' is a hierarchical Bayesian framework and posterior samples are sampled using a Metropolis-within-Gibbs sampler (for exponential RT-MPTs) or Hamiltonian-within-Gibbs sampler (for diffusion RT-MPTs).
Author: Raphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb, ths], Constantin G. Meyer-Grant [aut, ctb], Henrik Singmann [ctb, aut], Jean Marie Linhart [ctb], Frederick Novomestky [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

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Package igraph updated to version 2.1.4 with previous version 2.1.3 dated 2025-01-07

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: Gabor Csardi [aut] , Tamas Nepusz [aut] , Vincent Traag [aut] , Szabolcs Horvat [aut] , Fabio Zanini [aut] , Daniel Noom [aut], Kirill Mueller [aut, cre] , Maelle Salmon [ctb], Michael Antonov [ctb], Chan Zuckerberg Initiative [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between igraph versions 2.1.3 dated 2025-01-07 and 2.1.4 dated 2025-01-23

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Package distantia updated to version 2.0.1 with previous version 2.0.0 dated 2025-01-08

Title: Advanced Toolset for Efficient Time Series Dissimilarity Analysis
Description: Fast C++ implementation of Dynamic Time Warping for time series dissimilarity analysis, with applications in environmental monitoring and sensor data analysis, climate science, signal processing and pattern recognition, and financial data analysis. Built upon the ideas presented in Benito and Birks (2020) <doi:10.1111/ecog.04895>, provides tools for analyzing time series of varying lengths and structures, including irregular multivariate time series. Key features include individual variable contribution analysis, restricted permutation tests for statistical significance, and imputation of missing data via GAMs. Additionally, the package provides an ample set of tools to prepare and manage time series data.
Author: Blas M. Benito [aut, cre, cph]
Maintainer: Blas M. Benito <blasbenito@gmail.com>

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Package lidaRtRee updated to version 4.0.8 with previous version 4.0.5 dated 2023-04-07

Title: Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Description: Provides functions for forest objects detection, structure metrics computation, model calibration and mapping with airborne laser scanning: co-registration of field plots (Monnet and Mermin (2014) <doi:10.3390/f5092307>); tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation with the area-based approach: model calibration with ground reference, and maps export (Aussenac et al. (2023) <doi:10.12688/openreseurope.15373.2>); extraction of both physical (gaps, edges, trees) and statistical features useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>) and forest maturity mapping (Fuhr et al. (2022) <doi:10.1002/rse2.274>).
Author: Jean-Matthieu Monnet [aut, cre] , Pascal Obstetar [ctb]
Maintainer: Jean-Matthieu Monnet <jean-matthieu.monnet@inrae.fr>

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Package KnockoffTrio updated to version 1.1.0 with previous version 1.0.2 dated 2023-12-08

Title: GWAS with Trio and Duo Data using Knockoff Statistics for FDR Control
Description: Identification of putative causal variants in genome-wide association studies with trio and duo families. The package calculates the W feature statistics from KnockoffTrio and p-values from the family-based association test (FBAT) using trio and/or duo data. Compared to previous versions, a significant improvement has been made in Version 1.1.0 to allow the package to be applied not only to trio families but also to duo families. The package implements the methods in the paper: "Yang, Y., Wang, C., Liu, L., Buxbaum, J., He, Z., & Ionita-Laza, I. (2022). KnockoffTrio: A knockoff framework for the identification of putative causal variants in genome-wide association studies with trio design. The American Journal of Human Genetics, 109(10), 1761-1776."
Author: Yi Yang [aut, cre]
Maintainer: Yi Yang <yi.yang@cityu.edu.hk>

Diff between KnockoffTrio versions 1.0.2 dated 2023-12-08 and 1.1.0 dated 2025-01-23

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New package grec with initial version 1.6.1
Package: grec
Title: Gradient-Based Recognition of Spatial Patterns in Environmental Data
Version: 1.6.1
Date: 2025-01-22
URL: https://github.com/LuisLauM/grec
BugReports: https://github.com/LuisLauM/grec/issues
Maintainer: Wencheng Lau-Medrano <luis.laum@gmail.com>
Description: Provides algorithms for detection of spatial patterns from oceanographic data using image processing methods based on Gradient Recognition.
License: GPL (>= 3)
Depends: R (>= 3.2.0)
Imports: utils, imagine (>= 2.1.2), raster, terra, abind, lifecycle
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-22 09:09:09 UTC; llaumedr
Author: Wencheng Lau-Medrano [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-23 09:30:02 UTC

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New package depower with initial version 2025.1.20
Package: depower
Title: Power Analysis for Differential Expression Studies
Version: 2025.1.20
Description: Provides a convenient framework to simulate, test, power, and visualize data for differential expression studies with lognormal or negative binomial outcomes. Supported designs are two-sample comparisons of independent or dependent outcomes. Power may be summarized in the context of controlling the per-family error rate or family-wise error rate. Negative binomial methods are described in Yu, Fernandez, and Brock (2017) <doi:10.1186/s12859-017-1648-2> and Yu, Fernandez, and Brock (2020) <doi:10.1186/s12859-020-3541-7>.
URL: https://brettklamer.com/work/depower/, https://bitbucket.org/bklamer/depower/
License: MIT + file LICENSE
Depends: R (>= 4.2.0)
Imports: Rdpack, stats, mvnfast, glmmTMB, dplyr, multidplyr, ggplot2, scales
Suggests: tinytest, rmarkdown
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-21 00:00:00 UTC; x
Author: Brett Klamer [aut, cre] , Lianbo Yu [aut]
Maintainer: Brett Klamer <code@brettklamer.com>
Repository: CRAN
Date/Publication: 2025-01-23 09:50:02 UTC

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Package SeleMix updated to version 1.0.3 with previous version 1.0.2 dated 2020-11-28

Title: Selective Editing via Mixture Models
Description: Detection of outliers and influential errors using a latent variable model.
Author: Ugo Guarnera [aut], Teresa Buglielli [aut, cre]
Maintainer: Teresa Buglielli <teresa.buglielli@gmail.com>

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Package omock updated to version 0.3.2 with previous version 0.3.1 dated 2024-10-15

Title: Creation of Mock Observational Medical Outcomes Partnership Common Data Model
Description: Creates mock data for testing and package development for the Observational Medical Outcomes Partnership common data model. The package offers functions crafted with pipeline-friendly implementation, enabling users to effortlessly include only the necessary tables for their testing needs.
Author: Mike Du [aut, cre] , Marti Catala [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Mike Du <mike.du@ndorms.ox.ac.uk>

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Package metaplus updated to version 1.0-6 with previous version 1.0-5 dated 2024-07-04

Title: Robust Meta-Analysis and Meta-Regression
Description: Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
Author: Ken Beath [aut, cre], Ben Bolker [aut], R Development Core Team [aut]
Maintainer: Ken Beath <ken@kjbeath.id.au>

Diff between metaplus versions 1.0-5 dated 2024-07-04 and 1.0-6 dated 2025-01-23

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