Tue, 11 Feb 2025

Package stmgp updated to version 1.0.4.1 with previous version 1.0.4 dated 2021-07-18

Title: Rapid and Accurate Genetic Prediction Modeling for Genome-Wide Association or Whole-Genome Sequencing Study Data
Description: Rapidly build accurate genetic prediction models for genome-wide association or whole-genome sequencing study data by smooth-threshold multivariate genetic prediction (STMGP) method. Variable selection is performed using marginal association test p-values with an optimal p-value cutoff selected by Cp-type criterion. Quantitative and binary traits are modeled respectively via linear and logistic regression models. A function that works through PLINK software (Purcell et al. 2007 <DOI:10.1086/519795>, Chang et al. 2015 <DOI:10.1186/s13742-015-0047-8>) <https://www.cog-genomics.org/plink2> is provided. Covariates can be included in regression model.
Author: Masao Ueki [aut, cre]
Maintainer: Masao Ueki <uekimrsd@nifty.com>

Diff between stmgp versions 1.0.4 dated 2021-07-18 and 1.0.4.1 dated 2025-02-11

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Package easybio updated to version 1.1.1 with previous version 1.1.0 dated 2024-09-16

Title: Comprehensive Single-Cell Annotation and Transcriptomic Analysis Toolkit
Description: Provides a comprehensive toolkit for single-cell annotation with the 'CellMarker2.0' database (see Xia Li, Peng Wang, Yunpeng Zhang (2023) <doi: 10.1093/nar/gkac947>). Streamlines biological label assignment in single-cell RNA-seq data and facilitates transcriptomic analysis, including preparation of TCGA<https://portal.gdc.cancer.gov/> and GEO<https://www.ncbi.nlm.nih.gov/geo/> datasets, differential expression analysis and visualization of enrichment analysis results. Additional utility functions support various bioinformatics workflows. See Wei Cui (2024) <doi: 10.1101/2024.09.14.609619> for more details.
Author: Wei Cui [aut, cre, cph]
Maintainer: Wei Cui <m2c.w@outlook.com>

Diff between easybio versions 1.1.0 dated 2024-09-16 and 1.1.1 dated 2025-02-11

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Package TLIC updated to version 0.4 with previous version 0.3 dated 2024-10-29

Title: The LIC for T Distribution Regression Analysis
Description: This comprehensive toolkit for T-distributed regression is designated as "TLIC" (The LIC for T Distribution Regression Analysis) analysis. It is predicated on the assumption that the error term adheres to a T-distribution. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.
Author: Guangbao Guo [aut, cre] , Guofu Jing [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between TLIC versions 0.3 dated 2024-10-29 and 0.4 dated 2025-02-11

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New package Surrogate with initial version 3.3.3
Package: Surrogate
Title: Evaluation of Surrogate Endpoints in Clinical Trials
Version: 3.3.3
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.
Imports: MASS, lattice, latticeExtra, survival, nlme, lme4, logistf, rms, ks, extraDistr, pbapply, flexsurv, rvinecopulib, maxLik, purrr, MBESS, tidyr, dplyr, tibble, lifecycle
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: no
Encoding: UTF-8
Suggests: copula, FNN, mgcv, testthat (>= 3.0.0), vdiffr, parallel, fitdistrplus, kdecopula, cubature, mvtnorm, withr, stringr, ggplot2, sn
URL: https://github.com/florianstijven/Surrogate-development
BugReports: https://github.com/florianstijven/Surrogate-development/issues
Packaged: 2025-02-11 14:26:42 UTC; u0157247
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>
Date/Publication: 2025-02-11 23:50:02 UTC

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Package ncvreg updated to version 3.15.0 with previous version 3.14.3 dated 2024-09-02

Title: Regularization Paths for SCAD and MCP Penalized Regression Models
Description: Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided. For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388> or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.
Author: Patrick Breheny [aut, cre] , Ryan Miller [aut] , Logan Harris [aut]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

Diff between ncvreg versions 3.14.3 dated 2024-09-02 and 3.15.0 dated 2025-02-11

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Package gamselBayes updated to version 2.0-2 with previous version 2.0-1 dated 2023-09-03

Title: Bayesian Generalized Additive Model Selection
Description: Generalized additive model selection via approximate Bayesian inference is provided. Bayesian mixed model-based penalized splines with spike-and-slab-type coefficient prior distributions are used to facilitate fitting and selection. The approximate Bayesian inference engine options are: (1) Markov chain Monte Carlo and (2) mean field variational Bayes. Markov chain Monte Carlo has better Bayesian inferential accuracy, but requires a longer run-time. Mean field variational Bayes is faster, but less accurate. The methodology is described in He and Wand (2024) <doi:10.1007/s10182-023-00490-y>.
Author: Virginia X. He [aut] , Matt P. Wand [aut, cre]
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>

Diff between gamselBayes versions 2.0-1 dated 2023-09-03 and 2.0-2 dated 2025-02-11

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Package Directional updated to version 7.1 with previous version 7.0 dated 2024-12-05

Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include: a) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2018). "An elliptically symmetric angular Gaussian distribution". Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). "Comparison of discriminant analysis methods on the sphere". Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) Paine J.P., Preston S.P., Tsagris M. and Wood A.T.A. (2020). "Spherical regression models with general covariates and anisotropic errors". Statistics and Computing 30(1): 153--165. <doi:10.1007/s11222-019-09872 [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Christos Adam [aut], Zehao Yu [aut], Anamul Sajib [ctb], Eli Amson [ctb], Micah J. Waldstein [ctb], Panagiotis Papastamoulis [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between Directional versions 7.0 dated 2024-12-05 and 7.1 dated 2025-02-11

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Package chatAI4R updated to version 0.3.6 with previous version 0.2.10 dated 2023-09-12

Title: Chat-Based Interactive Artificial Intelligence for R
Description: The Large Language Model (LLM) represents a groundbreaking advancement in data science and programming, and also allows us to extend the world of R. A seamless interface for integrating the 'OpenAI' Web APIs into R is provided in this package. This package leverages LLM-based AI techniques, enabling efficient knowledge discovery and data analysis (see 'OpenAI' Web APIs details <https://openai.com/blog/openai-api>). The previous functions such as seamless translation and image generation have been moved to other packages 'deepRstudio' and 'stableDiffusion4R'.
Author: Satoshi Kume [aut, cre]
Maintainer: Satoshi Kume <satoshi.kume.1984@gmail.com>

Diff between chatAI4R versions 0.2.10 dated 2023-09-12 and 0.3.6 dated 2025-02-11

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Package bonsai updated to version 0.3.2 with previous version 0.3.1 dated 2024-07-23

Title: Model Wrappers for Tree-Based Models
Description: Bindings for additional tree-based model engines for use with the 'parsnip' package. Models include gradient boosted decision trees with 'LightGBM' (Ke et al, 2017.), conditional inference trees and conditional random forests with 'partykit' (Hothorn and Zeileis, 2015. and Hothorn et al, 2006. <doi:10.1198/106186006X133933>), and accelerated oblique random forests with 'aorsf' (Jaeger et al, 2022 <doi:10.5281/zenodo.7116854>).
Author: Daniel Falbel [aut], Athos Damiani [aut], Roel M. Hogervorst [aut] , Max Kuhn [aut] , Simon Couch [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

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Package animl updated to version 2.0.0 with previous version 1.1.0 dated 2023-05-13

Title: A Collection of ML Tools for Conservation Research
Description: Functions required to classify subjects within camera trap field data. The package can handle both images and videos. The authors recommend a two-step approach using Microsoft's 'MegaDector' model and then a second model trained on the classes of interest.
Author: Kyra Swanson [aut, cre] , Mathias Tobler [aut]
Maintainer: Kyra Swanson <tswanson@sdzwa.org>

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More information about animl at CRAN
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Package mixedBayes updated to version 0.1.5 with previous version 0.1.4.1 dated 2025-01-29

Title: Bayesian Longitudinal Regularized Quantile Mixed Model
Description: In longitudinal studies, the same subjects are measured repeatedly over time, leading to correlations among the repeated measurements. Properly accounting for the intra-cluster correlations in the presence of data heterogeneity and long tailed distributions of the disease phenotype is challenging, especially in the context of high dimensional regressions. In this package, we developed a Bayesian quantile mixed effects model with spike- and -slab priors to dissect important gene - environment interactions under longitudinal genomics studies. An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in 'C++'. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

Diff between mixedBayes versions 0.1.4.1 dated 2025-01-29 and 0.1.5 dated 2025-02-11

 DESCRIPTION               |    8 ++++----
 MD5                       |   12 ++++++------
 R/mixedBayes-package.R    |    2 +-
 R/mixedBayes.R            |   10 +++++-----
 README.md                 |    4 ++++
 man/mixedBayes-package.Rd |    2 +-
 man/mixedBayes.Rd         |   10 +++++-----
 7 files changed, 26 insertions(+), 22 deletions(-)

More information about mixedBayes at CRAN
Permanent link

Package webmockr updated to version 2.0.0 with previous version 1.0.0 dated 2024-07-23

Title: Stubbing and Setting Expectations on 'HTTP' Requests
Description: Stubbing and setting expectations on 'HTTP' requests. Includes tools for stubbing 'HTTP' requests, including expected request conditions and response conditions. Match on 'HTTP' method, query parameters, request body, headers and more. Can be used for unit tests or outside of a testing context.
Author: Scott Chamberlain [aut, cre] , Aaron Wolen [ctb] , rOpenSci [fnd]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

Diff between webmockr versions 1.0.0 dated 2024-07-23 and 2.0.0 dated 2025-02-11

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 NAMESPACE                                     |   27 +
 NEWS.md                                       |   27 +
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Package connectapi updated to version 0.6.0 with previous version 0.5.0 dated 2024-12-18

Title: Utilities for Interacting with the 'Posit Connect' Server API
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
Author: Toph Allen [aut, cre], Neal Richardson [aut], Sean Lopp [aut], Cole Arendt [aut], Posit, PBC [cph, fnd]
Maintainer: Toph Allen <toph@posit.co>

Diff between connectapi versions 0.5.0 dated 2024-12-18 and 0.6.0 dated 2025-02-11

 DESCRIPTION                                                                         |   12 
 MD5                                                                                 |  124 +++++-----
 NAMESPACE                                                                           |    3 
 NEWS.md                                                                             |   75 ++++--
 R/connect.R                                                                         |   51 +++-
 R/content.R                                                                         |  117 ++++++++-
 R/deploy.R                                                                          |   99 +++++--
 R/get.R                                                                             |   12 
 R/parse.R                                                                           |    4 
 R/ptype.R                                                                           |    8 
 R/utils.R                                                                           |   29 +-
 README.md                                                                           |   10 
 inst/doc/customize-http.html                                                        |    9 
 inst/doc/getting-started.html                                                       |    9 
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 man/connect.Rd                                                                      |   36 ++
 man/connectapi-package.Rd                                                           |   12 
 man/content_delete.Rd                                                               |    2 
 man/content_item.Rd                                                                 |    2 
 man/content_title.Rd                                                                |    2 
 man/content_update.Rd                                                               |    2 
 man/create_random_name.Rd                                                           |    2 
 man/dashboard_url.Rd                                                                |    2 
 man/dashboard_url_chr.Rd                                                            |    2 
 man/delete_thumbnail.Rd                                                             |    2 
 man/delete_vanity_url.Rd                                                            |    4 
 man/deploy_repo.Rd                                                                  |    2 
 man/environment.Rd                                                                  |    2 
 man/get_bundles.Rd                                                                  |    4 
 man/get_image.Rd                                                                    |    2 
 man/get_job.Rd                                                                      |    3 
 man/get_jobs.Rd                                                                     |   40 ++-
 man/get_log.Rd                                                                      |only
 man/get_oauth_credentials.Rd                                                        |   13 -
 man/get_thumbnail.Rd                                                                |    2 
 man/get_vanity_url.Rd                                                               |    4 
 man/git.Rd                                                                          |    2 
 man/has_thumbnail.Rd                                                                |    2 
 man/permissions.Rd                                                                  |    2 
 man/set_image.Rd                                                                    |    2 
 man/set_run_as.Rd                                                                   |    2 
 man/set_thumbnail.Rd                                                                |    2 
 man/set_vanity_url.Rd                                                               |    4 
 man/swap_vanity_url.Rd                                                              |   16 -
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 man/terminate_jobs.Rd                                                               |   13 -
 man/verify_content_name.Rd                                                          |    2 
 tests/integrated/test-deploy.R                                                      |   53 ++--
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 tests/testthat/Rplots.pdf                                                           |binary
 tests/testthat/test-connect.R                                                       |   75 ++++++
 tests/testthat/test-content.R                                                       |   72 +++++
 tests/testthat/test-deploy.R                                                        |   26 ++
 tests/testthat/test-git.R                                                           |   10 
 tests/testthat/test-parse.R                                                         |   14 +
 tests/testthat/test-utils.R                                                         |   25 +-
 64 files changed, 871 insertions(+), 233 deletions(-)

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Package seeker (with last version 1.1.6) was removed from CRAN

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

2024-08-26 1.1.6
2024-01-22 1.1.5
2023-12-04 1.1.4
2023-05-23 1.1.3
2023-05-17 1.1.2
2023-05-05 1.1.1
2023-03-22 1.1.0
2022-10-20 1.0.13
2022-09-19 1.0.10
2022-08-09 1.0.9

Permanent link
New package streamy with initial version 0.1.0
Package: streamy
Title: Inline Asynchronous Generator Results into Documents
Version: 0.1.0
Description: Given a 'coro' asynchronous generator instance that produces text, write that text into a document selection in 'RStudio' and 'Positron'. This is particularly helpful for streaming large language model responses into the user's editor.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/simonpcouch/streamy, https://simonpcouch.github.io/streamy/
BugReports: https://github.com/simonpcouch/streamy/issues
Imports: cli (>= 3.6.3), coro (>= 1.1.0), rlang, rstudioapi (>= 0.17.1), withr
Suggests: ellmer, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-02-11 15:24:41 UTC; simoncouch
Author: Simon Couch [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>
Repository: CRAN
Date/Publication: 2025-02-11 17:30:01 UTC

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New package quadVAR with initial version 0.1.2
Package: quadVAR
Title: Quadratic Vector Autoregression
Version: 0.1.2
Description: Estimate quadratic vector autoregression models with the strong hierarchy using the Regularization Algorithm under Marginality Principle (RAMP) by Hao et al. (2018) <doi:10.1080/01621459.2016.1264956>, compare the performance with linear models, and construct networks with partial derivatives.
License: GPL (>= 3)
URL: https://github.com/Sciurus365/quadVAR, https://sciurus365.github.io/quadVAR/
BugReports: https://github.com/Sciurus365/quadVAR/issues
Imports: cli, dplyr, ggplot2, magrittr, ncvreg, qgraph, RAMP, rlang, shiny, shinythemes, stats, stringr, tibble, tidyr
Suggests: nonlinearTseries, remotes, SIS, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-11 14:08:33 UTC; jingm
Author: Jingmeng Cui [aut, cre]
Maintainer: Jingmeng Cui <jingmeng.cui@outlook.com>
Repository: CRAN
Date/Publication: 2025-02-11 17:30:05 UTC

More information about quadVAR at CRAN
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New package parseLatex with initial version 0.2.1
Package: parseLatex
Title: Parse 'LaTeX' Code
Version: 0.2.1
Description: Exports an enhanced version of the tools::parseLatex() function to handle 'LaTeX' syntax more accurately. Also includes numerous functions for searching and modifying 'LaTeX' source.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/dmurdoch/parseLatex, https://dmurdoch.github.io/parseLatex/
BugReports: https://github.com/dmurdoch/parseLatex/issues
Suggests: kableExtra, knitr, rmarkdown
Imports: utils
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-02-11 09:52:08 UTC; murdoch
Author: Duncan Murdoch [aut, cre], The R Core Team [ctb, cph]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-11 17:10:01 UTC

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New package metacoder with initial version 0.3.8
Package: metacoder
Title: Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data
Version: 0.3.8
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>
Description: Reads, plots, and manipulates large taxonomic data sets, like those generated from modern high-throughput sequencing, such as metabarcoding (i.e. amplification metagenomics, 16S metagenomics, etc). It provides a tree-based visualization called "heat trees" used to depict statistics for every taxon in a taxonomy using color and size. It also provides various functions to do common tasks in microbiome bioinformatics on data in the 'taxmap' format defined by the 'taxa' package. The 'metacoder' package is described in the publication by Foster et al. (2017) <doi:10.1371/journal.pcbi.1005404>.
Depends: R (>= 3.0.2)
License: GPL-2 | GPL-3
LazyData: true
URL: https://grunwaldlab.github.io/metacoder_documentation/
BugReports: https://github.com/grunwaldlab/metacoder/issues
Imports: stringr, ggplot2, igraph, grid, taxize, seqinr, RCurl, ape, stats, grDevices, utils, lazyeval, dplyr, magrittr, readr, rlang, ggfittext, vegan, cowplot, GA, Rcpp, crayon, tibble, R6
Suggests: knitr, rmarkdown, testthat, zlibbioc, BiocManager, phyloseq, phylotate, traits, biomformat, DESeq2
VignetteBuilder: knitr
Encoding: UTF-8
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2025-02-11 16:17:55 UTC; fosterz
Author: Zachary Foster [aut, cre], Niklaus Grunwald [ths], Kamil Slowikowski [ctb], Scott Chamberlain [ctb], Rob Gilmore [ctb]
Repository: CRAN
Date/Publication: 2025-02-11 17:40:02 UTC

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Package fdasrvf updated to version 2.3.5 with previous version 2.3.4 dated 2024-12-06

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker [aut, cre] , Aymeric Stamm [ctb]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

Diff between fdasrvf versions 2.3.4 dated 2024-12-06 and 2.3.5 dated 2025-02-11

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 fdasrvf-2.3.5/fdasrvf/src/fdaqmap/incl/myVector.h                  |    2 
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 fdasrvf-2.3.5/fdasrvf/src/fdasrsf/DP.h                             |    8 
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New package gaussratiovegind with initial version 1.0.1
Package: gaussratiovegind
Title: Distribution of Gaussian Ratios
Version: 1.0.1
Maintainer: Pierre Santagostini <pierre.santagostini@institut-agro.fr>
Description: It is well known that the distribution of a Gaussian ratio does not follow a Gaussian distribution. The lack of awareness among users of vegetation indices about this non-Gaussian nature could lead to incorrect statistical modeling and interpretation. This package provides tools to accurately handle and analyse such ratios: density function, parameter estimation, simulation. An example on the study of chlorophyll fluorescence can be found in A. El Ghaziri et al. (2023) <doi:10.3390/rs15020528>.
License: GPL (>= 3)
URL: https://forgemia.inra.fr/imhorphen/gaussratiovegind
BugReports: https://forgemia.inra.fr/imhorphen/gaussratiovegind/-/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-02-11 16:55:39 UTC; psantagosti
Author: Pierre Santagostini [aut, cre], Angelina El Ghaziri [aut], Nizar Bouhlel [aut], David Rousseau [ctb]
Repository: CRAN
Date/Publication: 2025-02-11 17:50:02 UTC

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Package enveomics.R updated to version 1.10.0 with previous version 1.9.1 dated 2024-01-30

Title: Various Utilities for Microbial Genomics and Metagenomics
Description: A collection of functions for microbial ecology and other applications of genomics and metagenomics. Companion package for the Enveomics Collection (Rodriguez-R, L.M. and Konstantinidis, K.T., 2016 <DOI:10.7287/peerj.preprints.1900v1>).
Author: Luis M. Rodriguez-R [aut, cre]
Maintainer: Luis M. Rodriguez-R <lmrodriguezr@gmail.com>

Diff between enveomics.R versions 1.9.1 dated 2024-01-30 and 1.10.0 dated 2025-02-11

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New package schwabr with initial version 0.1.2
Package: schwabr
Title: 'Schwab API' Interface for R
Version: 0.1.2
Author: Anthony Trevisan [aut, cre]
Maintainer: Anthony Trevisan <anthonytrevisan@gmail.com>
URL: https://altanalytics.github.io/schwabr/
BugReports: https://github.com/altanalytics/schwabr/issues
Description: Use R to interface with the 'Charles Schwab Trade API' <https://developer.schwab.com/>. Functions include authentication, trading, price requests, account information, and option chains. A user will need a Schwab brokerage account and Schwab Individual Developer app. See README for authentication process and examples.
License: GPL-3
Encoding: UTF-8
Imports: httr, urltools (>= 1.7.3), base64enc, lubridate, dplyr, jsonlite, magrittr, methods
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-02-10 18:29:31 UTC; ubuntu
Repository: CRAN
Date/Publication: 2025-02-11 16:50:02 UTC

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Package polyCub updated to version 0.9.2 with previous version 0.9.1 dated 2024-05-21

Title: Cubature over Polygonal Domains
Description: Numerical integration of continuously differentiable functions f(x,y) over simple closed polygonal domains. The following cubature methods are implemented: product Gauss cubature (Sommariva and Vianello, 2007, <doi:10.1007/s10543-007-0131-2>), the simple two-dimensional midpoint rule (wrapping 'spatstat.geom' functions), and adaptive cubature for radially symmetric functions via line integrate() along the polygon boundary (Meyer and Held, 2014, <doi:10.1214/14-AOAS743>, Supplement B). For simple integration along the axes, the 'cubature' package is more appropriate.
Author: Sebastian Meyer [aut, cre, trl] , Leonhard Held [ths], Michael Hoehle [ths]
Maintainer: Sebastian Meyer <seb.meyer@fau.de>

Diff between polyCub versions 0.9.1 dated 2024-05-21 and 0.9.2 dated 2025-02-11

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New package metaquant with initial version 0.1.1
Package: metaquant
Title: Estimating Means, Standard Deviations and Visualising Distributions using Quantiles
Version: 0.1.1
Maintainer: Udara Kumaranathunga <U.Kumaranathunga@latrobe.edu.au>
Author: Udara Kumaranathunga [cre], Alysha De Livera [aut], Luke Prendergast [aut]
Description: Implements a novel density-based approach for estimating unknown means, visualizing distributions, and meta-analyses of quantiles. A detailed vignettes with example datasets and code to prepare data and analyses is available at <https://bookdown.org/a2delivera/metaquant/>. The methods are described in the pre-print by De Livera, Prendergast and Kumaranathunga (2024, <doi:10.48550/arXiv.2411.10971>).
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: gld, sld, stats, ggplot2, plotly, magrittr, dplyr, estmeansd
NeedsCompilation: no
Packaged: 2025-02-11 02:01:22 UTC; 22102238
Repository: CRAN
Date/Publication: 2025-02-11 17:00:02 UTC

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New package IVPP with initial version 1.0.0
Package: IVPP
Title: Invariance Partial Pruning Test
Version: 1.0.0
Description: An implementation of the Invariance Partial Pruning (IVPP) approach described in Du, X., Johnson, S. U., Epskamp, S. (in prep)to comparing idiographic and panel network models. IVPP is a two-step method that first test for global network structural difference with invariance test and then inspect specific edge difference with partial pruning.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3.0)
Imports: bootnet, clusterGeneration, dplyr, mvtnorm, psychonetrics, graphicalVAR, lifecycle
BugReports: https://github.com/xinkaidupsy/IVPP/issues
URL: https://github.com/xinkaidupsy/IVPP
NeedsCompilation: no
Packaged: 2025-02-11 04:08:55 UTC; xinkaidu
Author: Xinkai Du [aut, cre, cph]
Maintainer: Xinkai Du <xinkai.du.xd@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-11 17:00:09 UTC

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New package IIS with initial version 1.1
Package: IIS
Version: 1.1
Date: 2025-02-07
Title: Datasets to Accompany Wolfe and Schneider - Intuitive Introductory Statistics
Description: These datasets and functions accompany Wolfe and Schneider (2017) - Intuitive Introductory Statistics (ISBN: 978-3-319-56070-0) <doi:10.1007/978-3-319-56072-4>. They are used in the examples throughout the text and in the end-of-chapter exercises. The datasets are meant to cover a broad range of topics in order to appeal to the diverse set of interests and backgrounds typically present in an introductory Statistics class.
Maintainer: Grant Schneider <gschneidz@gmail.com>
License: GPL-2
LazyLoad: yes
Depends: R (>= 2.10)
Imports: asbio, BSDA, Hmisc, NSM3, Rfit
NeedsCompilation: no
Packaged: 2025-02-10 23:17:39 UTC; grant
Repository: CRAN
Date/Publication: 2025-02-11 16:50:05 UTC
Author: Grant Schneider [aut, cre]

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Package ggsurveillance updated to version 0.1.2 with previous version 0.1.1 dated 2025-01-31

Title: Tools for Outbreak Investigation/Infectious Disease Surveillance
Description: Create epicurves or epigantt charts in 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation. Includes tidy functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2'. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
Author: Alexander Bartel [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel@fu-berlin.de>

Diff between ggsurveillance versions 0.1.1 dated 2025-01-31 and 0.1.2 dated 2025-02-11

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Package forrel updated to version 1.7.1 with previous version 1.7.0 dated 2024-09-04

Title: Forensic Pedigree Analysis and Relatedness Inference
Description: Forensic applications of pedigree analysis, including likelihood ratios for relationship testing, general relatedness inference, marker simulation, and power analysis. 'forrel' is part of the 'pedsuite', a collection of packages for pedigree analysis, further described in the book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302). Several functions deal specifically with power analysis in missing person cases, implementing methods described in Vigeland et al. (2020) <doi:10.1016/j.fsigen.2020.102376>. Data import from the 'Familias' software (Egeland et al. (2000) <doi:10.1016/S0379-0738(00)00147-X>) is supported through the 'pedFamilias' package.
Author: Magnus Dehli Vigeland [aut, cre] , Thore Egeland [ctb]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between forrel versions 1.7.0 dated 2024-09-04 and 1.7.1 dated 2025-02-11

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Package antaresRead updated to version 2.9.0 with previous version 2.7.2 dated 2024-09-12

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], Clement Berthet [ctb], Kamel Kemiha [c [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

Diff between antaresRead versions 2.7.2 dated 2024-09-12 and 2.9.0 dated 2025-02-11

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Package opendataformat updated to version 2.1.3 with previous version 2.1.2 dated 2025-01-15

Title: Reading and Writing Open Data Format Files
Description: The Open Data Format (ODF) is a new, non-proprietary, multilingual, metadata enriched, and zip-compressed data format with metadata structured in the Data Documentation Initiative (DDI) Codebook standard. This package allows reading and writing of data files in the Open Data Format (ODF) in R, and displaying metadata in different languages. For further information on the Open Data Format, see <https://opendataformat.github.io/>.
Author: Tom Hartl [aut, cre] , Claudia Saalbach [ctb]
Maintainer: Tom Hartl <thartl@diw.de>

Diff between opendataformat versions 2.1.2 dated 2025-01-15 and 2.1.3 dated 2025-02-11

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Package iraceplot updated to version 2.1.0 with previous version 2.0.0 dated 2024-11-27

Title: Plots for Visualizing the Data Produced by the 'irace' Package
Description: Graphical visualization tools for analyzing the data produced by 'irace'. The 'iraceplot' package enables users to analyze the performance and the parameter space data sampled by the configuration during the search process. It provides a set of functions that generate different plots to visualize the configurations sampled during the execution of 'irace' and their performance. The functions just require the log file generated by 'irace' and, in some cases, they can be used with user-provided data.
Author: Manuel Lopez-Ibanez [aut, cre] , Pablo Onate Marin [aut], Leslie Perez Caceres [aut]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

Diff between iraceplot versions 2.0.0 dated 2024-11-27 and 2.1.0 dated 2025-02-11

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Package geofi updated to version 1.0.18 with previous version 1.0.17 dated 2024-11-22

Title: Access Finnish Geospatial Data
Description: Designed to simplify geospatial data access from the Statistics Finland Web Feature Service API <https://geo.stat.fi/geoserver/index.html>, the geofi package offers researchers and analysts a set of tools to obtain and harmonize administrative spatial data for a wide range of applications, from urban planning to environmental research. The package contains annually updated time series of municipality key datasets that can be used for data aggregation and language translations.
Author: Markus Kainu [aut, cre] , Joona Lehtomaki [aut] , Juuso Parkkinen [ctb] , Jani Miettinen [ctb], Pyry Kantanen [ctb], Sampo Vesanen [ctb], Leo Lahti [aut]
Maintainer: Markus Kainu <markus.kainu@kapsi.fi>

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Package LLMR updated to version 0.2.1 with previous version 0.1.2 dated 2025-01-17

Title: Interface for Large Language Model APIs in R
Description: A unified interface to interact with various Large Language Model (LLM) APIs such as 'OpenAI' (see <https://platform.openai.com/docs/quickstart> for details), 'Anthropic' (see <https://docs.anthropic.com/en/api/getting-started> for details), 'Groq' (see <https://console.groq.com/docs/api-reference> for details), 'Together AI' (see <https://docs.together.ai/docs/quickstart> for details), 'DeepSeek' (see <https://api-docs.deepseek.com> for details), 'Gemini' (see <https://aistudio.google.com> for details), and 'Voyage AI' (see <https://docs.voyageai.com/docs/introduction> for details). Allows users to configure API parameters, send messages, and retrieve responses seamlessly within R.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

Diff between LLMR versions 0.1.2 dated 2025-01-17 and 0.2.1 dated 2025-02-11

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New package hdsvm with initial version 1.0.1
Package: hdsvm
Title: Fast Algorithm for Support Vector Machine
Version: 1.0.1
Date: 2025-02-05
Maintainer: Yikai Zhang <yikai-zhang@uiowa.edu>
Description: Implements an efficient algorithm to fit and tune penalized Support Vector Machine 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 20:41:31 UTC; qtang7
Author: Yikai Zhang [aut, cre], Qian Tang [aut], Boxiang Wang [aut]
Repository: CRAN
Date/Publication: 2025-02-11 13:50:02 UTC

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Package ENMeval updated to version 2.0.5 with previous version 2.0.4 dated 2023-01-09

Title: Automated Tuning and Evaluations of Ecological Niche Models
Description: Runs ecological niche models over all combinations of user-defined settings (i.e., tuning), performs cross validation to evaluate models, and returns data tables to aid in selection of optimal model settings that balance goodness-of-fit and model complexity. Also has functions to partition data spatially (or not) for cross validation, to plot multiple visualizations of results, to run null models to estimate significance and effect sizes of performance metrics, and to calculate range overlap between model predictions, among others. The package was originally built for Maxent models (Phillips et al. 2006, Phillips et al. 2017), but the current version allows possible extensions for any modeling algorithm. The extensive vignette, which guides users through most package functionality but unfortunately has a file size too big for CRAN, can be found here on the package's Github Pages website: <https://jamiemkass.github.io/ENMeval/articles/ENMeval-2.0-vignette.html>.
Author: Jamie M. Kass [aut, cre], Robert Muscarella [aut], Peter J. Galante [aut], Corentin Bohl [aut], Gonzalo E. Buitrago-Pinilla [aut], Robert A. Boria [aut], Mariano Soley-Guardia [aut], Robert P. Anderson [aut]
Maintainer: Jamie M. Kass <jamie.m.kass@gmail.com>

Diff between ENMeval versions 2.0.4 dated 2023-01-09 and 2.0.5 dated 2025-02-11

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Package DFD updated to version 0.3.0 with previous version 0.2.0 dated 2024-08-28

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

Diff between DFD versions 0.2.0 dated 2024-08-28 and 0.3.0 dated 2025-02-11

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Package APCalign updated to version 1.1.3 with previous version 1.1.2 dated 2025-01-28

Title: Resolving Plant Taxon Names Using the Australian Plant Census
Description: The process of resolving taxon names is necessary when working with biodiversity data. 'APCalign' uses the Australian Plant Census (APC) and the Australian Plant Name Index (APNI) to align and update plant taxon names to current, accepted standards. 'APCalign' also supplies information about the established status of plant taxa across different states/territories.
Author: Daniel Falster [aut, cre, cph] , Elizabeth Wenk [aut, ctb] , Will Cornwell [aut, ctb] , Fonti Kar [aut, ctb] , Carl Boettiger [ctb]
Maintainer: Daniel Falster <daniel.falster@unsw.edu.au>

Diff between APCalign versions 1.1.2 dated 2025-01-28 and 1.1.3 dated 2025-02-11

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Package statgenMPP updated to version 1.0.4 with previous version 1.0.3 dated 2024-10-29

Title: QTL Mapping for Multi Parent Populations
Description: For Multi Parent Populations (MPP) Identity By Descend (IBD) probabilities are computed using Hidden Markov Models. These probabilities are then used in a mixed model approach for QTL Mapping as described in Li et al. (<doi:10.1007/s00122-021-03919-7>).
Author: Martin Boer [aut] , Wenhao Li [aut] , Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [ctb]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package permutations updated to version 1.1-6 with previous version 1.1-5 dated 2024-07-17

Title: The Symmetric Group: Permutations of a Finite Set
Description: Manipulates invertible functions from a finite set to itself. Can transform from word form to cycle form and back. To cite the package in publications please use Hankin (2020) "Introducing the permutations R package", SoftwareX, volume 11 <doi:10.1016/j.softx.2020.100453>.
Author: Robin K. S. Hankin [aut, cre] , Paul Egeler [ctb]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between permutations versions 1.1-5 dated 2024-07-17 and 1.1-6 dated 2025-02-11

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Package nephro updated to version 1.5 with previous version 1.4 dated 2023-10-16

Title: Utilities for Nephrology
Description: Set of functions to estimate kidney function and other traits of interest in nephrology.
Author: Cristian Pattaro [aut, cre], Ryosuke Fujii [aut], Janina Herold [aut]
Maintainer: Cristian Pattaro <cristian.pattaro@eurac.edu>

Diff between nephro versions 1.4 dated 2023-10-16 and 1.5 dated 2025-02-11

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Package GitStats updated to version 2.2.2 with previous version 2.2.1 dated 2025-01-21

Title: Standardized Git Repository Data
Description: Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 'Git' platforms by providing a unified way to access repository data.
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>

Diff between GitStats versions 2.2.1 dated 2025-01-21 and 2.2.2 dated 2025-02-11

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Package ggupset updated to version 0.4.1 with previous version 0.4.0 dated 2024-06-24

Title: Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots
Description: Replace the standard x-axis in 'ggplots' with a combination matrix to visualize complex set overlaps. 'UpSet' has introduced a new way to visualize the overlap of sets as an alternative to Venn diagrams. This package provides a simple way to produce such plots using 'ggplot2'. In addition it can convert any categorical axis into a combination matrix axis.
Author: Constantin Ahlmann-Eltze [aut, cre]
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>

Diff between ggupset versions 0.4.0 dated 2024-06-24 and 0.4.1 dated 2025-02-11

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Package optedr updated to version 2.2.0 with previous version 2.0.0 dated 2022-11-18

Title: Calculating Optimal and D-Augmented Designs
Description: Calculates D-, Ds-, A-, I- and L-optimal designs for non-linear models, via an implementation of the cocktail algorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>). Compares designs via their efficiency, and augments any design with a controlled efficiency. An efficient rounding function has been provided to transform approximate designs to exact designs.
Author: Carlos de la Calle-Arroyo [aut, cre] , Jesus Lopez-Fidalgo [aut] , Licesio J. Rodriguez-Aragon [aut]
Maintainer: Carlos de la Calle-Arroyo <carlos.calle.arroyo@gmail.com>

Diff between optedr versions 2.0.0 dated 2022-11-18 and 2.2.0 dated 2025-02-11

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New package R.AlphA.Home with initial version 1.0.0
Package: R.AlphA.Home
Title: Feel at Home using R, Thanks to Shortcuts Functions Making it Simple
Version: 1.0.0
Description: A collection of personal functions designed to simplify and streamline common R programming tasks. This package provides reusable tools and shortcuts for frequently used calculations and workflows.
License: GPL-3
Encoding: UTF-8
Imports: data.table, lubridate, rstudioapi, stringr, grDevices, openxlsx, ggplot2, dplyr, tibble, tidyr, R.utils, shinyWidgets, shiny, magrittr
NeedsCompilation: no
Packaged: 2025-02-09 20:08:34 UTC; Raphael
Author: Raphael Flambard [aut, cre], Adrien Cocuaud [ctb]
Maintainer: Raphael Flambard <r.alpha.act@outlook.fr>
Repository: CRAN
Date/Publication: 2025-02-11 09:20:02 UTC

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New package PatientLevelPrediction with initial version 6.4.0
Package: PatientLevelPrediction
Title: Develop Clinical Prediction Models Using the Common Data Model
Version: 6.4.0
Date: 2025-02-05
Description: A user friendly way to create patient level prediction models using the Observational Medical Outcomes Partnership Common Data Model. Given a cohort of interest and an outcome of interest, the package can use data in the Common Data Model to build a large set of features. These features can then be used to fit a predictive model with a number of machine learning algorithms. This is further described in Reps (2017) <doi:10.1093/jamia/ocy032>.
License: Apache License 2.0
URL: https://ohdsi.github.io/PatientLevelPrediction/, https://github.com/OHDSI/PatientLevelPrediction
BugReports: https://github.com/OHDSI/PatientLevelPrediction/issues
VignetteBuilder: knitr
Depends: R (>= 4.0.0)
Imports: Andromeda, Cyclops (>= 3.0.0), DatabaseConnector (>= 6.0.0), digest, dplyr, FeatureExtraction (>= 3.0.0), Matrix, memuse, ParallelLogger (>= 2.0.0), pROC, PRROC, rlang, SqlRender (>= 1.1.3), tidyr, utils
Suggests: curl, Eunomia (>= 2.0.0), glmnet, ggplot2, gridExtra, IterativeHardThresholding, knitr, lightgbm, Metrics, mgcv, OhdsiShinyAppBuilder (>= 1.0.0), parallel, polspline, readr, ResourceSelection, ResultModelManager (>= 0.2.0), reticulate (>= 1.30), rmarkdown, RSQLite, scoring, survival, survminer, testthat, withr, xgboost (> 1.3.2.1)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-10 11:35:44 UTC; egill
Author: Egill Fridgeirsson [aut, cre], Jenna Reps [aut], Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Peter Rijnbeek [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Egill Fridgeirsson <e.fridgeirsson@erasmusmc.nl>
Repository: CRAN
Date/Publication: 2025-02-11 09:30:14 UTC

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Package lightAUC updated to version 0.1.2 with previous version 0.1.1 dated 2025-02-03

Title: Fast AUC Computation
Description: Fast calculation of Area Under Curve (AUC) metric of a Receiver Operating Characteristic (ROC) curve, using the algorithm of Fawcett (2006) <doi:10.1016/j.patrec.2005.10.010>. Therefore it is appropriate for large-scale AUC metric calculations.
Author: Christos Adam [aut, cre]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

Diff between lightAUC versions 0.1.1 dated 2025-02-03 and 0.1.2 dated 2025-02-11

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New package ForLion with initial version 0.1.0
Package: ForLion
Title: 'ForLion' Algorithm to Find D-Optimal Designs for Experiments
Version: 0.1.0
Maintainer: Siting Lin <slin95@uic.edu>
Description: Designing experimental plans that involve both discrete and continuous factors with general parametric statistical models using the 'ForLion' algorithm and 'EW ForLion' algorithm. The algorithms will search for locally optimal designs and EW optimal designs under the D-criterion. Reference: Huang, Y., Li, K., Mandal, A., & Yang, J., (2024)<doi:10.1007/s11222-024-10465-x>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: psych, stats, cubature
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-08 23:19:46 UTC; sitin
Author: Yifei Huang [aut], Siting Lin [aut, cre], Jie Yang [aut]
Repository: CRAN
Date/Publication: 2025-02-11 09:10:02 UTC

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New package bushtucker with initial version 0.1.0
Package: bushtucker
Title: 'I'm a Celebrity Get Me Out of Here' Data
Version: 0.1.0
Description: Data on the first 24 seasons of the UK TV show 'I'm a Celebrity, Get Me Out of Here', broadcast from 2002-2024. Taken from the Wikipedia pages for each season and the main page available at <https://en.wikipedia.org/wiki/I%27m_a_Celebrity...Get_Me_Out_of_Here!_(British_TV_series)>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
URL: https://chrisbrownlie.github.io/bushtucker/
BugReports: https://github.com/chrisbrownlie/bushtucker/issues
NeedsCompilation: no
Packaged: 2025-02-07 13:09:24 UTC; chris
Author: Chris Brownlie [aut, cre]
Maintainer: Chris Brownlie <chris.brownlie@hotmail.co.uk>
Repository: CRAN
Date/Publication: 2025-02-11 09:30:02 UTC

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Package airGRteaching updated to version 0.3.4 with previous version 0.3.3 dated 2024-07-23

Title: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Description: Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Author: Olivier Delaigue [aut, cre] , Laurent Coron [aut] , Pierre Brigode [aut] , Guillaume Thirel [aut]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

Diff between airGRteaching versions 0.3.3 dated 2024-07-23 and 0.3.4 dated 2025-02-11

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New package echos with initial version 1.0.1
Package: echos
Title: Echo State Networks for Time Series Modeling and Forecasting
Version: 1.0.1
Description: Provides a lightweight implementation of functions and methods for fast and fully automatic time series modeling and forecasting using Echo State Networks (ESNs).
License: GPL-3
URL: https://github.com/ahaeusser/echos, https://ahaeusser.github.io/echos/
BugReports: https://github.com/ahaeusser/echos/issues
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.3), RcppArmadillo, fabletools, tsibble, dplyr, tidyr, purrr, Matrix, rlang, distributional, forecast
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, tidyverse, fable, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-02-09 12:55:16 UTC; Alexander Häußer
Author: Alexander Haeusser [aut, cre, cph]
Maintainer: Alexander Haeusser <alexander-haeusser@gmx.de>
Repository: CRAN
Date/Publication: 2025-02-11 09:00:02 UTC

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Package lfe updated to version 3.1.1 with previous version 3.1.0 dated 2024-11-06

Title: Linear Group Fixed Effects
Description: Transforms away factors with many levels prior to doing an OLS. Useful for estimating linear models with multiple group fixed effects, and for estimating linear models which uses factors with many levels as pure control variables. See Gaure (2013) <doi:10.1016/j.csda.2013.03.024> Includes support for instrumental variables, conditional F statistics for weak instruments, robust and multi-way clustered standard errors, as well as limited mobility bias correction (Gaure 2014 <doi:10.1002/sta4.68>). Since version 3.0, it provides dedicated functions to estimate Poisson models.
Author: Simen Gaure [aut] , Grant McDermott [ctb], Mauricio Vargas Sepulveda [ctb, cre] , Karl Dunkle Werner [ctb], Matthieu Stigler [ctb] , Daniel Luedecke [ctb]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>

Diff between lfe versions 3.1.0 dated 2024-11-06 and 3.1.1 dated 2025-02-11

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Package FPDclustering (with last version 2.3.3) was removed from CRAN

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

2025-01-27 2.3.3
2024-12-12 2.3.2
2024-01-29 2.3.1
2024-01-25 2.3
2022-08-31 2.2
2022-02-02 2.1
2021-09-11 2.0
2020-01-28 1.4.1

Permanent link
Package glottospace (with last version 0.0.112) was removed from CRAN

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

2022-04-12 0.0.112
2022-03-16 0.0.111

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Package zonebuilder (with last version 0.0.2) was removed from CRAN

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

2021-07-12 0.0.2

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