Tue, 20 Dec 2022

Package weyl updated to version 0.0-3 with previous version 0.0-1 dated 2022-01-21

Title: The Weyl Algebra
Description: A suite of routines for Weyl algebras. Notation follows Coutinho (1995, ISBN 0-521-55119-6, "A Primer of Algebraic D-Modules"). Uses 'disordR' discipline (Hankin 2022 <doi:10.48550/ARXIV.2210.03856>). To cite the package in publications, use Hankin 2022 <doi:10.48550/ARXIV.2212.09230>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package qspray updated to version 0.1.1 with previous version 0.1.0 dated 2022-12-15

Title: Multivariate Polynomials with Rational Coefficients
Description: Symbolic calculation and evaluation of multivariate polynomials with rational coefficients. This package is strongly inspired by the 'spray' package.
Author: Stephane Laurent [aut, cre], Robin Hankin [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package postpack updated to version 0.5.4 with previous version 0.5.3 dated 2021-06-02

Title: Utilities for Processing Posterior Samples Stored in 'mcmc.lists'
Description: The aim of 'postpack' is to provide the infrastructure for a standardized workflow for 'mcmc.list' objects. These objects can be used to store output from models fitted with Bayesian inference using 'JAGS', 'WinBUGS', 'OpenBUGS', 'NIMBLE', 'Stan', or even custom MCMC algorithms. Although the 'coda' R package provides some methods for these objects, it is somewhat limited in easily performing post-processing tasks for specific nodes. Models are ever increasing in their complexity and the number of tracked nodes, and oftentimes a user may wish to summarize/diagnose sampling behavior for only a small subset of nodes at a time for a particular question or figure. Thus, many 'postpack' functions support performing tasks on a subset of nodes, where the subset is specified with regular expressions. The functions in 'postpack' streamline the extraction, summarization, and diagnostics of specific monitored nodes after model fitting. Further, because there is rarely only ever one model under con [...truncated...]
Author: Ben Staton [aut, cre]
Maintainer: Ben Staton <statonbe@gmail.com>

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Package pcalg updated to version 2.7-8 with previous version 2.7-7 dated 2022-10-04

Title: Methods for Graphical Models and Causal Inference
Description: Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC) and some related functions are implemented. Functions for incorporating background knowledge are provided.
Author: Markus Kalisch [aut, cre], Alain Hauser [aut], Martin Maechler [aut], Diego Colombo [ctb], Doris Entner [ctb], Patrik Hoyer [ctb], Antti Hyttinen [ctb], Jonas Peters [ctb], Nicoletta Andri [ctb], Emilija Perkovic [ctb], Preetam Nandy [ctb], Philipp R [...truncated...]
Maintainer: Markus Kalisch <kalisch@stat.math.ethz.ch>

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Package messydates updated to version 0.3.3 with previous version 0.3.1 dated 2022-07-21

Title: A Flexible Class for Messy Dates
Description: Contains a set of tools for constructing and coercing into and from the "mdate" class. This date class implements ISO 8601-2:2019(E) and allows regular dates to be annotated to express unspecified date components, approximate or uncertain date components, date ranges, and sets of dates. This is useful for describing and analysing temporal information, whether historical or recent, where date precision may vary.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package kyotil updated to version 2022.12-20 with previous version 2022.9-17 dated 2022-10-07

Title: Utility Functions for Statistical Analysis Report Generation and Monte Carlo Studies
Description: Helper functions for creating formatted summary of regression models, writing publication-ready tables to latex files, and running Monte Carlo experiments.
Author: Youyi Fong [cre], Krisztian Sebestyen [aut], Han Sunwoo [aut], Jason Becker [ctb], Bendix Carstensen [ctb], Daryl Morris [ctb], Josh Pasek [ctb], Dennis Chao [ctb], Andri Signorell [ctb], Sue Li [ctb], Jonathan Bartlett [ctb], Christophe Dutang [ctb]
Maintainer: Youyi Fong <youyifong@gmail.com>

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Package hydroEvents updated to version 0.11 with previous version 0.10 dated 2021-07-15

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

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New package cargo with initial version 0.4.2
Package: cargo
Title: Develop R Packages using Rust
Version: 0.4.2
Description: A framework is provided to develop R packages using 'Rust' <https://www.rust-lang.org/> with minimal overhead, and more wrappers are easily added. Help is provided to use 'Cargo' <https://doc.rust-lang.org/cargo/> in a manner consistent with CRAN policies. 'Rust' code can also be embedded directly in an R script. The package is not official, affiliated with, nor endorsed by the Rust project.
URL: https://github.com/dbdahl/cargo-framework (repository)
BugReports: https://github.com/dbdahl/cargo-framework/issues
License: MIT + file LICENSE | Apache License 2.0
Depends: R (>= 4.2.0)
Suggests: roxygen2 (>= 7.2.3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-12-20 14:47:12 UTC; dahl
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Repository: CRAN
Date/Publication: 2022-12-21 00:40:06 UTC

More information about cargo at CRAN
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Package aphylo updated to version 0.3-2 with previous version 0.3-1 dated 2022-12-20

Title: Statistical Inference and Prediction of Annotations in Phylogenetic Trees
Description: Implements a parsimonious evolutionary model to analyze and predict gene-functional annotations in phylogenetic trees as described in Vega Yon et al. (2021) <doi:10.1371/journal.pcbi.1007948>. With a focus on computational efficiency, 'aphylo' makes it possible to estimate pooled phylogenetic models, including thousands (hundreds) of annotations (trees) in the same run. The package also provides the tools for visualization of annotated phylogenies, calculation of posterior probabilities (prediction,) and goodness-of-fit assessment featured in Vega Yon et al. (2021).
Author: George Vega Yon [aut, cre] , National Cancer Institute [fnd] , USC Biostatistics [cph]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

Diff between aphylo versions 0.3-1 dated 2022-12-20 and 0.3-2 dated 2022-12-20

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Package officer updated to version 0.5.0 with previous version 0.4.4 dated 2022-09-09

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Frank Hangler [ctb] , Liz Sander [ctb] , Anton Victorson [ctb] , Jon Calder [ctb] , John Harrold [ctb] , John Muschelli [ctb] , Bill Denney [ctb] , Nikolai Beck [ctb] , Stefan Moog [ctb] , Greg Leleu [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package hlaR updated to version 0.1.6 with previous version 0.1.5 dated 2022-10-24

Title: Tools for HLA Data
Description: A streamlined tool for eplet analysis of donor and recipient HLA (human leukocyte antigen) mismatch. Messy, low-resolution HLA typing data is cleaned, and imputed to high-resolution using the NMDP (National Marrow Donor Program) haplotype reference database <https://haplostats.org/haplostats>. High resolution data is analyzed for overall or single antigen eplet mismatch using a reference table (currently supporting 'HLAMatchMaker' <http://www.epitopes.net> versions 2 and 3). Data can enter or exit the workflow at different points depending on the user's aims and initial data quality.
Author: Joan Zhang [aut, cre], Aileen Johnson [aut], Christian P Larsen [cph, aut]
Maintainer: Joan Zhang <joan.zhang@emory.edu>

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Package archiveRetriever updated to version 0.3.0 with previous version 0.2.0 dated 2022-06-21

Title: Retrieve Archived Web Pages from the 'Internet Archive'
Description: Scraping content from archived web pages stored in the 'Internet Archive' (<https://archive.org>) using a systematic workflow. Get an overview of the mementos available from the respective homepage, retrieve the Urls and links of the page and finally scrape the content. The final output is stored in tibbles, which can be then easily used for further analysis.
Author: Konstantin Gavras [aut] , Lukas Isermann [aut, cre]
Maintainer: Lukas Isermann <lukas.isermann@uni-mannheim.de>

Diff between archiveRetriever versions 0.2.0 dated 2022-06-21 and 0.3.0 dated 2022-12-20

 DESCRIPTION                          |   10 
 MD5                                  |   17 
 NEWS.md                              |    8 
 R/retrieve_links.R                   |   71 
 README.md                            |   23 
 man/retrieve_links.Rd                |   12 
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 tests/testthat/test_retrieve_links.R |   87 
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New package SMOTEWB with initial version 0.1.0
Package: SMOTEWB
Title: Imbalanced Resampling using SMOTE with Boosting
Version: 0.1.0
Description: Provides Random Oversampling, Random Undersampling, Synthetic Oversampling Minority Technique and SMOTE with Boosting by Saglam and Cengiz (2022) <doi:10.1016/j.eswa.2022.117023> for imbalanced data resampling. SMOTE with Boosting is a SMOTE-based oversampling method which can determine the number of links for each positive sample and robust to noise.
Depends: R (>= 4.2)
Imports: stats, FNN, ada
Suggests:
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-12-20 15:04:12 UTC; Fatih
Author: Fatih Saglam [aut, cre]
Maintainer: Fatih Saglam <saglamf89@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-20 19:40:05 UTC

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New package GseaVis with initial version 0.0.5
Package: GseaVis
Title: Implement for 'GSEA' Enrichment Visualization
Version: 0.0.5
Maintainer: Jun Zhang <3219030654@stu.cpu.edu.cn>
Description: Mark your interesting genes on plot and support more parameters to handle your own gene set enrichment analysis plot.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: aplot, DOSE, dplyr, ggplot2, ggpp, ggrepel, ggsci, grDevices, magrittr, purrr, RColorBrewer, reshape2, stringr, tibble, utils
URL: https://github.com/junjunlab/GseaVis
BugReports: https://github.com/junjunlab/GseaVis/issues
NeedsCompilation: no
Packaged: 2022-12-20 13:11:44 UTC; admin
Author: Jun Zhang [aut, cre] , Guangchuang Yu [ctb]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-12-20 19:40:07 UTC

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New package equil2 with initial version 1.0.0
Package: equil2
Title: Calculate Urinary Saturation with the EQUIL2 Algorithm
Version: 1.0.0
Description: Saturation of ionic substances in urine is calculated based on sodium, potassium, calcium, magnesium, ammonia, chloride, phosphate, sulfate, oxalate, citrate, ph, and urate. This program is intended for research use, only. The code within is translated from EQUIL2 Visual Basic code based on Werness, et al (1985) "EQUIL2: a BASIC computer program for the calculation of urinary saturation" <doi:10.1016/s0022-5347(17)47703-2> to R. The Visual Basic code was kindly provided by Dr. John Lieske of the Mayo Clinic.
Imports: units
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://billdenney.github.io/equil2/
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2022-12-20 15:00:30 UTC; wdenn
Author: Bill Denney [aut, cre, cph] , John Lieske [cph]
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Repository: CRAN
Date/Publication: 2022-12-20 19:40:02 UTC

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Package yuima updated to version 1.15.22 with previous version 1.15.18 dated 2022-12-05

Title: The YUIMA Project Package for SDEs
Description: Simulation and Inference for SDEs and Other Stochastic Processes.
Author: YUIMA Project Team
Maintainer: Stefano M. Iacus <siacus@iq.harvard.edu>

Diff between yuima versions 1.15.18 dated 2022-12-05 and 1.15.22 dated 2022-12-20

 DESCRIPTION           |    7 ++++---
 MD5                   |   17 +++++++++--------
 NEWS                  |    6 +++++-
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 README.md             |only
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Package tidytext updated to version 0.4.0 with previous version 0.3.4 dated 2022-08-19

Title: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
Description: Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
Author: Gabriela De Queiroz [ctb], Colin Fay [ctb] , Emil Hvitfeldt [ctb], Os Keyes [ctb] , Kanishka Misra [ctb], Tim Mastny [ctb], Jeff Erickson [ctb], David Robinson [aut], Julia Silge [aut, cre]
Maintainer: Julia Silge <julia.silge@gmail.com>

Diff between tidytext versions 0.3.4 dated 2022-08-19 and 0.4.0 dated 2022-12-20

 DESCRIPTION                                                            |   20 
 MD5                                                                    |  119 +--
 NEWS.md                                                                |    8 
 R/bind_tf_idf.R                                                        |    4 
 R/corpus_tidiers.R                                                     |   18 
 R/globals.R                                                            |    2 
 R/lda_tidiers.R                                                        |   18 
 R/mallet_tidiers.R                                                     |   26 
 R/nma_words.R                                                          |    4 
 R/parts_of_speech.R                                                    |    4 
 R/reorder_within.R                                                     |   20 
 R/sentiments.R                                                         |   10 
 R/sparse_casters.R                                                     |   16 
 R/stm_tidiers.R                                                        |  243 +++----
 R/stop_words.R                                                         |   22 
 R/unnest_char.R                                                        |    2 
 R/unnest_ngrams.R                                                      |    2 
 R/unnest_ptb.R                                                         |    2 
 R/unnest_regex.R                                                       |    2 
 R/unnest_sentence.R                                                    |    2 
 R/unnest_tokens.R                                                      |   59 -
 R/unnest_tweets.R                                                      |   43 -
 README.md                                                              |    2 
 inst/doc/tf_idf.R                                                      |    7 
 inst/doc/tf_idf.Rmd                                                    |    8 
 inst/doc/tf_idf.html                                                   |  115 +--
 inst/doc/tidying_casting.R                                             |    9 
 inst/doc/tidying_casting.Rmd                                           |   10 
 inst/doc/tidying_casting.html                                          |  115 +--
 inst/doc/tidytext.R                                                    |    8 
 inst/doc/tidytext.Rmd                                                  |    9 
 inst/doc/tidytext.html                                                 |  119 +--
 man/bind_tf_idf.Rd                                                     |    2 
 man/cast_sparse.Rd                                                     |    4 
 man/corpus_tidiers.Rd                                                  |    2 
 man/document_term_casters.Rd                                           |    4 
 man/get_sentiments.Rd                                                  |    2 
 man/get_stopwords.Rd                                                   |    9 
 man/mallet_tidiers.Rd                                                  |   12 
 man/reorder_within.Rd                                                  |    7 
 man/stm_tidiers.Rd                                                     |  144 +---
 man/tidy.Corpus.Rd                                                     |    2 
 man/unnest_character.Rd                                                |   10 
 man/unnest_ngrams.Rd                                                   |   14 
 man/unnest_ptb.Rd                                                      |   10 
 man/unnest_regex.Rd                                                    |   10 
 man/unnest_sentences.Rd                                                |   10 
 man/unnest_tokens.Rd                                                   |   26 
 man/unnest_tweets.Rd                                                   |   60 -
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 tests/testthat/test-reorder-within.R                                   |    1 
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 tests/testthat/test-unnest-tokens.R                                    |   19 
 tests/testthat/test-unnest_tweet.R                                     |   10 
 vignettes/tf_idf.Rmd                                                   |    8 
 vignettes/tidying_casting.Rmd                                          |   10 
 vignettes/tidytext.Rmd                                                 |    9 
 61 files changed, 914 insertions(+), 1027 deletions(-)

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New package rTLS with initial version 0.2.5.6
Package: rTLS
Title: Processing of Point Clouds Derived from Terrestrial Laser Scanning
Version: 0.2.5.6
Maintainer: J. Antonio Guzman Q. <antguz06@gmail.com>
Description: A set of tools to process and calculate metrics on point clouds derived from terrestrial laser scanning (TLS) also know as terrestrial LiDAR (Light Detection and Ranging). Its creation is based on key aspects of the TLS application in forestry and ecology. Currently, the main routines are based on filtering, neighboring features of points, voxelization, canopy structure, and the creation of artificial stands. It is written using data.table and 'C++' language and in most of the functions it is possible to use parallel processing to speed-up the routines.
License: GPL (>= 3)
URL: https://github.com/Antguz/rTLS
BugReports: https://github.com/Antguz/rTLS/issues
Depends: data.table (>= 1.0), R (>= 4.0.0)
Imports: alphashape3d, boot, doSNOW (>= 1.0.16), foreach (>= 1.4.4), parallel (>= 3.6.0), Rcpp (>= 1.0.3), RcppProgress (>= 0.4.2), RcppHNSW (>= 0.3.0), rgeos, rgl, sp
Suggests: knitr, rmarkdown, covr, testthat (>= 3.0.1)
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.870), RcppProgress (>= 0.4.2)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
SystemRequirements: GNU make
ByteCompile: true
NeedsCompilation: yes
Packaged: 2022-12-20 15:34:37 UTC; antonio
Author: J. Antonio Guzman Q. [cre, aut, ths, cph] , Ronny Hernandez [aut] , Arturo Sanchez-Azofeifa [dgs, sad]
Repository: CRAN
Date/Publication: 2022-12-20 18:30:09 UTC

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Package pomp updated to version 4.5 with previous version 4.4 dated 2022-11-21

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Sebastian Funk [ctb], Steven G. Johnson [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Eamon B. O'Dea [c [...truncated...]
Maintainer: Aaron A. King <kingaa@umich.edu>

Diff between pomp versions 4.4 dated 2022-11-21 and 4.5 dated 2022-12-20

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New package SNSequate with initial version 1.3-4
Package: SNSequate
Version: 1.3-4
Date: 2022-12-16
Title: Standard and Nonstandard Statistical Models and Methods for Test Equating
Author: Jorge Gonzalez [cre, aut], Daniel Leon Acuna [ctb]
Maintainer: Jorge Gonzalez <jorge.gonzalez@mat.uc.cl>
Depends: R (>= 3.1.0), magic, stats
Imports: methods, emdbook, plyr, statmod, knitr, progress
Description: Contains functions to perform various models and methods for test equating. It currently implements the traditional mean, linear and equipercentile equating methods. Both IRT observed-score and true-score equating are also supported, as well as the mean-mean, mean-sigma, Haebara and Stocking-Lord IRT linking methods. It also supports newest methods such that local equating, kernel equating (using Gaussian, logistic, Epanechnikov, uniform and adaptive kernels) with presmoothing, and IRT parameter linking methods based on asymmetric item characteristic functions. Functions to obtain both standard error of equating (SEE) and standard error of equating differences between two equating functions (SEED) are also implemented for the kernel method of equating.
License: GPL (>= 2)
URL: https://www.mat.uc.cl/~jorge.gonzalez/
Suggests: testthat
NeedsCompilation: no
Packaged: 2022-12-16 13:31:41 UTC; jorgegonzalez
Repository: CRAN
Date/Publication: 2022-12-20 17:30:09 UTC

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Package cbl updated to version 0.1.3 with previous version 0.1.2 dated 2022-11-16

Title: Causal Discovery under a Confounder Blanket
Description: Methods for learning causal relationships among a set of foreground variables X based on signals from a (potentially much larger) set of background variables Z, which are known non-descendants of X. The confounder blanket learner (CBL) uses sparse regression techniques to simultaneously perform many conditional independence tests, with complementary pairs stability selection to guarantee finite sample error control. CBL is sound and complete with respect to a so-called "lazy oracle", and works with both linear and nonlinear systems. For details, see Watson & Silva (2022) <arXiv:2205.05715>.
Author: David Watson [aut, cre]
Maintainer: David Watson <david.s.watson11@gmail.com>

Diff between cbl versions 0.1.2 dated 2022-11-16 and 0.1.3 dated 2022-12-20

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New package aphylo with initial version 0.3-1
Package: aphylo
Title: Statistical Inference and Prediction of Annotations in Phylogenetic Trees
Version: 0.3-1
Description: Implements a parsimonious evolutionary model to analyze and predict gene-functional annotations in phylogenetic trees as described in Vega Yon et al. (2021) <doi:10.1371/journal.pcbi.1007948>. With a focus on computational efficiency, 'aphylo' makes it possible to estimate pooled phylogenetic models, including thousands (hundreds) of annotations (trees) in the same run. The package also provides the tools for visualization of annotated phylogenies, calculation of posterior probabilities (prediction,) and goodness-of-fit assessment featured in Vega Yon et al. (2021).
Depends: R (>= 3.5.0), ape (>= 5.0)
LazyData: true
Imports: Rcpp (>= 0.12.1), Matrix, methods, coda, fmcmc, utils, MASS, xml2
Suggests: covr, knitr, tinytest, AUC, rmarkdown,
VignetteBuilder: knitr
LinkingTo: Rcpp
Encoding: UTF-8
URL: https://github.com/USCbiostats/aphylo
BugReports: https://github.com/USCbiostats/aphylo/issues
Classification/MSC: 90C35, 90B18, 91D30
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2022-12-19 17:08:01 UTC; george
Author: George Vega Yon [aut, cre] , National Cancer Institute [fnd] , USC Biostatistics [cph]
Maintainer: George Vega Yon <g.vegayon@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-20 17:30:05 UTC

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Package yulab.utils updated to version 0.0.6 with previous version 0.0.5 dated 2022-06-29

Title: Supporting Functions for Packages Maintained by 'YuLab-SMU'
Description: Miscellaneous functions commonly used by 'YuLab-SMU'.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between yulab.utils versions 0.0.5 dated 2022-06-29 and 0.0.6 dated 2022-12-20

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Package migraph updated to version 0.13.2 with previous version 0.13.0 dated 2022-11-30

Title: Tools for Multimodal Network Analysis
Description: A set of tools for analysing multimodal networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks. It includes functions for measuring centrality, centralization, cohesion, closure, and constraint, as well as for network block-modelling, regression, and diffusion models. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book in addition to other network data.
Author: James Hollway [cre, aut, ctb] , Jael Tan [ctb] , Bernhard Bieri [ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between migraph versions 0.13.0 dated 2022-11-30 and 0.13.2 dated 2022-12-20

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Package EloSteepness updated to version 0.4.7 with previous version 0.4.6 dated 2022-10-11

Title: Bayesian Dominance Hierarchy Steepness via Elo Rating and David's Scores
Description: Obtain Bayesian posterior distributions of dominance hierarchy steepness (Neumann and Fischer (2022) <doi:10.1111/2041-210X.14021>). Steepness estimation is based on Bayesian implementations of either Elo-rating or David's scores.
Author: Christof Neumann [aut, cre]
Maintainer: Christof Neumann <christofneumann1@gmail.com>

Diff between EloSteepness versions 0.4.6 dated 2022-10-11 and 0.4.7 dated 2022-12-20

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Package diyar updated to version 0.4.2 with previous version 0.4.1 dated 2021-12-05

Title: Record Linkage and Epidemiological Case Definitions in R
Description: An R package for record linkage and implementing epidemiological case definitions in R. Record linkage is implemented either through a multistage deterministic approach or a probabilistic approach. Matching records are assigned to unique groups. There are mechanisms to address missing data and conflicting matches across linkage stages. Track and assign events (e.g. sample collection) and periods (e.g. hospital admission) to unique groups based on a case definition. The tracking process permits several options such as episode lengths and recurrence. Duplicate events or records can then be identified for removal or further analyses.
Author: Olisaeloka Nsonwu
Maintainer: Olisaeloka Nsonwu <olisa.nsonwu@gmail.com>

Diff between diyar versions 0.4.1 dated 2021-12-05 and 0.4.2 dated 2022-12-20

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Title: EMF Graphics Output Device
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Author: Philip Johnson
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Title: Functional Programming Tools
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Author: Hadley Wickham [aut] , Lionel Henry [aut, cre], RStudio [cph, fnd]
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Package MEDseq updated to version 1.4.0 with previous version 1.3.3 dated 2022-03-28

Title: Mixtures of Exponential-Distance Models with Covariates
Description: Implements a model-based clustering method for categorical life-course sequences relying on mixtures of exponential-distance models introduced by Murphy et al. (2021) <doi:10.1111/rssa.12712>. A range of flexible precision parameter settings corresponding to weighted generalisations of the Hamming distance metric are considered, along with the potential inclusion of a noise component. Gating covariates can be supplied in order to relate sequences to baseline characteristics and sampling weights are also accommodated. The models are fitted using the EM algorithm and tools for visualising the results are also provided.
Author: Keefe Murphy [aut, cre] , Thomas Brendan Murphy [ctb] , Raffaella Piccarreta [ctb], Isobel Claire Gormley [ctb]
Maintainer: Keefe Murphy <keefe.murphy@mu.ie>

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Package keras updated to version 2.11.0 with previous version 2.9.0 dated 2022-05-23

Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
Author: Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Francois Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] , Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigrid [...truncated...]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski@rstudio.com>

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Package istacr updated to version 0.2.2 with previous version 0.2.0 dated 2022-08-22

Title: Obtaining Open Data from Instituto Canario De Estadistica (ISTAC) API
Description: You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://datos.canarias.es/api/estadisticas/>.
Author: Alberto Gonzalez [aut, cre]
Maintainer: Alberto Gonzalez <jgonyanp@gobiernodecanarias.org>

Diff between istacr versions 0.2.0 dated 2022-08-22 and 0.2.2 dated 2022-12-20

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Package insurancerating updated to version 0.7.2 with previous version 0.7.1 dated 2022-09-06

Title: Analytic Insurance Rating Techniques
Description: Methods for insurance rating. It helps actuaries to implement GLMs within all relevant steps needed to construct a risk premium from raw data. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. It also provides recipes on how to easily perform one-way, or univariate, analyses on an insurance portfolio. In addition it adds functionality to include reference categories in the levels of the coefficients in the output of a generalized linear regression analysis.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package rswipl updated to version 9.1.2 with previous version 8.5.20 dated 2022-11-09

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre], Jan Wielemaker [ctb, cph]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

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 122 files changed, 6791 insertions(+), 4338 deletions(-)

More information about rswipl at CRAN
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Package MoEClust updated to version 1.5.1 with previous version 1.5.0 dated 2022-03-28

Title: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
Description: Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2020) <doi:10.1007/s11634-019-00373-8>. This package fits finite Gaussian mixture models with a formula interface for supplying gating and/or expert network covariates using a range of parsimonious covariance parameterisations from the GPCM family via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots and the inclusion of an additional noise component is also facilitated. A greedy forward stepwise search algorithm is provided for identifying the optimal model in terms of the number of components, the GPCM covariance parameterisation, and the subsets of gating/expert network covariates.
Author: Keefe Murphy [aut, cre] , Thomas Brendan Murphy [ctb]
Maintainer: Keefe Murphy <keefe.murphy@mu.ie>

Diff between MoEClust versions 1.5.0 dated 2022-03-28 and 1.5.1 dated 2022-12-20

 DESCRIPTION             |   10 
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 NAMESPACE               |    4 
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 25 files changed, 918 insertions(+), 239 deletions(-)

More information about MoEClust at CRAN
Permanent link

Package cli updated to version 3.5.0 with previous version 3.4.1 dated 2022-09-23

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It support ANSI colors and text styles as well.
Author: Gabor Csardi [aut, cre], Hadley Wickham [ctb], Kirill Mueller [ctb], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between cli versions 3.4.1 dated 2022-09-23 and 3.5.0 dated 2022-12-20

 cli-3.4.1/cli/tests/testthat/_snaps/headers.md          |only
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 cli-3.5.0/cli/src/thread.c                              |   10 
 cli-3.5.0/cli/src/tty.c                                 |    2 
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 cli-3.5.0/cli/tests/testthat/helper.R                   |   28 ++
 cli-3.5.0/cli/tests/testthat/test-ansi-hyperlink.R      |  145 ++++++++++++
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 cli-3.5.0/cli/tests/testthat/test-app.R                 |    8 
 cli-3.5.0/cli/tests/testthat/test-collapsing.R          |   47 ++++
 cli-3.5.0/cli/tests/testthat/test-hash.R                |   15 +
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 106 files changed, 1667 insertions(+), 241 deletions(-)

More information about cli at CRAN
Permanent link

New package MetChem with initial version 0.1
Package: MetChem
Version: 0.1
Date: 2022-12-19
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>
Title: Chemical Structural Similarity Analysis
Description: A new pipeline to explore chemical structural similarity across metabolite. It allows to classify metabolites in structurally-related modules and identify common shared functional groups. KODAMA algorithm is used to highlight structural similarity between metabolites. See Cacciatore S, Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics <doi:10.1093/bioinformatics/btw705> and Cacciatore S, Luchinat C, Tenori L. (2014) Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>.
Depends: R (>= 3.5.0), stats, KODAMA (>= 2.3), httr, XML, fingerprint, rcdk (>= 3.4.3)
Suggests: knitr, rmarkdown, readxl, impute, pheatmap, RColorBrewer
VignetteBuilder: knitr
SuggestsNote: No suggestions
License: GPL (>= 2)
Packaged: 2022-12-20 08:20:37 UTC; stefano
NeedsCompilation: no
Repository: CRAN
Author: Ebtesam Abdel-Shafy [aut], Tadele Melak [aut], David A. MacIntyre [aut], Giorgia Zadra [aut], Luiz F. Zerbini [aut], Silvano Piazza [aut], Stefano Cacciatore [aut, cre]
Date/Publication: 2022-12-20 13:00:05 UTC

More information about MetChem at CRAN
Permanent link

New package EpiTest with initial version 1.0.0
Package: EpiTest
Title: Test for Gene x Gene Interactions in Bi-Parental Populations
Version: 1.0.0
Description: Provides functions to test for gene x gene interactions in a bi-parental population of inbred lines. The data are fitted with the mixed linear model described in Rio et al. (2022) <doi:10.1101/2022.12.18.520958>, that accounts for gene x gene interactions at both the fixed effect and variance levels. The package also provides graphical tools to display the gene x gene interaction trend at the mean level and the variance component analysis.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, ggrepel, magrittr, MM4LMM, purrr, stringr, utils
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-12-20 06:48:51 UTC; rio
Author: Simon Rio [aut, cre] , Tristan Mary-Huard [aut]
Maintainer: Simon Rio <simon.rio@cirad.fr>
Repository: CRAN
Date/Publication: 2022-12-20 12:30:02 UTC

More information about EpiTest at CRAN
Permanent link

New package coreCollection with initial version 0.9.5
Package: coreCollection
Title: Core Collection
Version: 0.9.5
Description: Create a custom sized Core Collection based on a distance matrix and applying the A-NE (accession nearest entry), E-NE (entry nearest entry) or E-E (entry entry) method as introduced in Jansen and van Hintum (2007) <doi:10.1007/s00122-006-0433-9> and further elaborated on in Odong, T.L. (2012) <https://edepot.wur.nl/212422>. Optionally a list of preselected accessions to be included into the core can be set. For each accession in the computed core, if available nearby accessions are retrievable that can be used as an alternative.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5)
LinkingTo: Rcpp
Imports: Rcpp (>= 1.0.0), R6 (>= 2.4.0), methods
Suggests: testthat (>= 3.0.0), vcfR, adegenet, ggfortify
NeedsCompilation: yes
Packaged: 2022-12-20 08:37:25 UTC; matthijs
Author: Matthijs Brouwer [aut, cre] , Reinhoud Blok, de [ctb]
Maintainer: Matthijs Brouwer <matthijs.brouwer@wur.nl>
Repository: CRAN
Date/Publication: 2022-12-20 13:00:02 UTC

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New package panelsummary with initial version 0.1.0
Package: panelsummary
Title: Create Publication-Ready Regression Tables with Panels
Version: 0.1.0
Maintainer: Michael Topper <miketopper123@gmail.com>
Description: Create an automated regression table that is well-suited for models that are estimated with multiple dependent variables. 'panelsummary' extends 'modelsummary' (Arel-Bundock, V. (2022) <doi:10.18637/jss.v103.i01>) by allowing regression tables to be split into multiple sections with a simple function call. Utilize familiar arguments such as fmt, estimate, statistic, vcov, conf_level, stars, coef_map, coef_omit, coef_rename, gof_map, and gof_omit from 'modelsummary' to clean the table, and additionally, add a row for the mean of the dependent variable without external manipulation.
License: GPL (>= 3)
URL: https://github.com/michaeltopper1/panelsummary, https://michaeltopper1.github.io/panelsummary/
BugReports: https://github.com/michaeltopper1/panelsummary/issues
Imports: dplyr (>= 1.0.9), fixest (>= 0.10.4), kableExtra (>= 1.3.4), methods (>= 4.1.3), modelsummary (>= 1.0.2), rlang (>= 1.0.6), stringr (>= 1.4.1), tidyselect (>= 1.2.0)
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), tibble (>= 3.1.8), utils (>= 4.1.3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-12-19 15:04:32 UTC; michaeltopper
Author: Michael Topper [aut, cre], Vincent Arel-Bundock [cph]
Repository: CRAN
Date/Publication: 2022-12-20 11:10:01 UTC

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Package ctmva updated to version 1.1.0 with previous version 1.0 dated 2022-08-18

Title: Continuous-Time Multivariate Analysis
Description: Implements a basis function or functional data analysis framework for several techniques of multivariate analysis in continuous-time setting. Specifically, we introduced continuous-time analogues of several classical techniques of multivariate analysis, such as principal component analysis, canonical correlation analysis, Fisher linear discriminant analysis, K-means clustering, and so on. Details are in Philip T Reiss and Biplab Paul (2022) "Continuous-time multivariate analysis"; James O Ramsay, Bernard W Silverman (2005) <ISBN:978-0-387-22751-1> "Functional Data Analysis"; James O Ramsay, Giles Hooker and Spencer Graves (2009) <ISBN:978-0-387-98185-7> "Functional Data Analysis with R and MATLAB".
Author: Biplab Paul [aut, cre], Philip Tzvi Reiss [aut]
Maintainer: Biplab Paul <paul.biplab497@gmail.com>

Diff between ctmva versions 1.0 dated 2022-08-18 and 1.1.0 dated 2022-12-20

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New package bamm with initial version 0.4.3
Package: bamm
Title: Species Distribution Models as a Function of Biotic, Abiotic and Movement Factors (BAM)
Version: 0.4.3
Maintainer: Luis Osorio-Olvera <luismurao@gmail.com>
URL: https://luismurao.github.io/bamm/
BugReports: https://github.com/luismurao/bamm/issues
Description: Species Distribution Modeling (SDM) is a practical methodology that aims to estimate the area of distribution of a species. However, most of the work has focused on estimating static expressions of the correlation between environmental variables. The outputs of correlative species distribution models can be interpreted as maps of the suitable environment for a species but not generally as maps of its actual distribution. Soberón and Peterson (2005) <doi:10.17161/bi.v2i0.4> presented the BAM scheme, a heuristic framework that states that the occupied area of a species occurs on sites that have been accessible through dispersal (M) and have both favorable biotic (B) and abiotic conditions (A). The 'bamm' package implements classes and functions to operate on each element of the BAM and by using a cellular automata model where the occupied area of a species at time t is estimated by the multiplication of three binary matrices: one matrix represents movements (M), another abiotic -ni [...truncated...]
SystemRequirements: C++11, GDAL (>= 2.2.3): gdal-bin (deb), libgdal-dev (deb) or gdal-devel (rmp), GEOS (>= 3.4.0), PROJ (>= 4.9.3): libproj-dev (deb), sqlite3, ImageMagick++: imagemagick (deb), libmagic-dev (deb), libmagick++-dev (deb) or ImageMagick-c++-devel (rpm) ImageMagick (http://imagemagick.org) or GraphicsMagick (http://www.graphicsmagick.org) or LyX (http://www.lyx.org) for saveGIF(); (PDF)LaTeX for saveLatex(); SWF Tools (http://swftools.org) for saveSWF(); FFmpeg (http://ffmpeg.org) or avconv (https://libav.org/avconv.html) for saveVideo()
NeedsCompilation: yes
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: raster (>= 3.4-13), Matrix (>= 1.2.14), RSpectra (>= 0.13.1), methods (>= 3.3), magrittr (>= 1.2), dplyr (>= 0.8.0), purrr (>= 0.2), igraph (>= 1.2), leaflet (>= 2.0), Rdpack (>= 0.11.0), animation (>= 2.3), future (>= 1.18.0), furrr (>= 0.1.0), Rcpp (>= 0.12.18), sp(>= 1.3.0)
Suggests: knitr, crosstalk, plotly, rmarkdown, testthat (>= 3.0.0), covr
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
Packaged: 2022-12-19 14:41:49 UTC; luis.osorio
Author: Luis Osorio-Olvera [aut, cre] , Jorge Soberon [aut]
Repository: CRAN
Date/Publication: 2022-12-20 11:10:05 UTC

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New package SIT with initial version 0.1.0
Package: SIT
Title: Association Measurement Through Sliced Independence Test (SIT)
Version: 0.1.0
Description: Computes the sit coefficient between two vectors x and y, possibly all paired coefficients for a matrix. The reference for the methods implemented here is Zhang, Yilin, Canyi Chen, and Liping Zhu. 2022. "Sliced Independence Test." Statistica Sinica. <doi:10.5705/ss.202021.0203>. This package incorporates the Galton peas example.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, stats
Date: 2022-12-19
Suggests: ggplot2, psychTools
NeedsCompilation: yes
Packaged: 2022-12-19 14:22:51 UTC; chencanyi
Author: Canyi Chen [aut, cre]
Maintainer: Canyi Chen <chency1997@ruc.edu.cn>
Repository: CRAN
Date/Publication: 2022-12-20 11:00:05 UTC

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New package scGate with initial version 1.4.1
Package: scGate
Title: Marker-Based Cell Type Purification for Single-Cell Sequencing Data
Version: 1.4.1
Description: A common bioinformatics task in single-cell data analysis is to purify a cell type or cell population of interest from heterogeneous datasets. 'scGate' automatizes marker-based purification of specific cell populations, without requiring training data or reference gene expression profiles. Briefly, 'scGate' takes as input: i) a gene expression matrix stored in a 'Seurat' object and ii) a “gating model” (GM), consisting of a set of marker genes that define the cell population of interest. The GM can be as simple as a single marker gene, or a combination of positive and negative markers. More complex GMs can be constructed in a hierarchical fashion, akin to gating strategies employed in flow cytometry. 'scGate' evaluates the strength of signature marker expression in each cell using the rank-based method 'UCell', and then performs k-nearest neighbor (kNN) smoothing by calculating the mean 'UCell' score across neighboring cells. kNN-smoothing aims at compensating for the large degree of s [...truncated...]
Depends: R(>= 4.2.0)
Imports: Seurat(>= 4.0.0), UCell(>= 2.1.3), dplyr, stats, utils, methods, patchwork, ggridges, reshape2, ggplot2, BiocParallel
Suggests: ggparty, partykit, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/carmonalab/scGate
BugReports: https://github.com/carmonalab/scGate/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-12-19 14:33:39 UTC; mass
Author: Massimo Andreatta [aut, cre] , Ariel Berenstein [aut] , Changsheng Li [aut], Santiago Carmona [aut]
Maintainer: Massimo Andreatta <massimo.andreatta@unil.ch>
Repository: CRAN
Date/Publication: 2022-12-20 11:00:02 UTC

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Package RcppDE updated to version 0.1.7 with previous version 0.1.6 dated 2018-06-09

Title: Global Optimization by Differential Evolution in C++
Description: An efficient C++ based implementation of the 'DEoptim' function which performs global optimization by differential evolution. Its creation was motivated by trying to see if the old approximation "easier, shorter, faster: pick any two" could in fact be extended to achieving all three goals while moving the code from plain old C to modern C++. The initial version did in fact do so, but a good part of the gain was due to an implicit code review which eliminated a few inefficiencies which have since been eliminated in 'DEoptim'.
Author: Dirk Eddelbuettel extending DEoptim which itself is based on DE-Engine
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppDE versions 0.1.6 dated 2018-06-09 and 0.1.7 dated 2022-12-20

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Package FRK updated to version 2.1.3 with previous version 2.1.2 dated 2022-12-16

Title: Fixed Rank Kriging
Description: A tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach models the field, and hence the covariance function, using a set of basis functions. This fixed-rank basis-function representation facilitates the modelling of big data, and the method naturally allows for non-stationary, anisotropic covariance functions. Discretisation of the spatial domain into so-called basic areal units (BAUs) facilitates the use of observations with varying support (i.e., both point-referenced and areal supports, potentially simultaneously), and prediction over arbitrary user-specified regions. `FRK` also supports inference over various manifolds, including the 2D plane and 3D sphere, and it provides helper functions to model, fit, predict, and plot with relative ease. Version 2.0.0 and above also supports the modelling of non-Gaussian data (e.g., Poisson, binomial, negative-binomial, gamma, and inverse-Gaussian) by employing a generalised linear mixed model (GLMM) framew [...truncated...]
Author: Andrew Zammit-Mangion [aut, cre], Matthew Sainsbury-Dale [aut]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

Diff between FRK versions 2.1.2 dated 2022-12-16 and 2.1.3 dated 2022-12-20

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Package explore updated to version 1.0.1 with previous version 1.0.0 dated 2022-11-11

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code or use an easy to remember set of tidy functions for exploratory data analysis. Introduces three main verbs. explore() to graphically explore a variable or table, describe() to describe a variable or table and report() to create an automated report.
Author: Roland Krasser
Maintainer: Roland Krasser <roland.krasser@gmail.com>

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Package singleCellHaystack updated to version 1.0.0 with previous version 0.3.4 dated 2021-03-27

Title: A Universal Differential Expression Prediction Tool for Single-Cell and Spatial Genomics Data
Description: One key exploratory analysis step in single-cell genomics data analysis is the prediction of features with different activity levels. For example, we want to predict differentially expressed genes (DEGs) in single-cell RNA-seq data, spatial DEGs in spatial transcriptomics data, or differentially accessible regions (DARs) in single-cell ATAC-seq data. 'singleCellHaystack' predicts differentially active features in single cell omics datasets without relying on the clustering of cells into arbitrary clusters. 'singleCellHaystack' uses Kullback-Leibler divergence to find features (e.g., genes, genomic regions, etc) that are active in subsets of cells that are non-randomly positioned inside an input space (such as 1D trajectories, 2D tissue sections, multi-dimensional embeddings, etc). For the theoretical background of 'singleCellHaystack' we refer to our original paper Vandenbon and Diez (Nature Communications, 2020) <doi:10.1038/s41467-020-17900-3> and our update Vandenbon and Diez [...truncated...]
Author: Alexis Vandenbon [aut, cre] , Diego Diez [aut]
Maintainer: Alexis Vandenbon <alexis.vandenbon@gmail.com>

Diff between singleCellHaystack versions 0.3.4 dated 2021-03-27 and 1.0.0 dated 2022-12-20

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Package RAthena updated to version 2.6.1 with previous version 2.6.0 dated 2022-05-20

Title: Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface)
Description: Designed to be compatible with the R package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this 'Python' 'Boto3' Software Development Kit ('SDK') <https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between RAthena versions 2.6.0 dated 2022-05-20 and 2.6.1 dated 2022-12-20

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More information about RAthena at CRAN
Permanent link

Package noctua updated to version 2.6.1 with previous version 2.6.0 dated 2022-05-20

Title: Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI' Interface)
Description: Designed to be compatible with the 'R' package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this the 'R' 'AWS' Software Development Kit ('SDK') 'paws' <https://github.com/paws-r/paws> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between noctua versions 2.6.0 dated 2022-05-20 and 2.6.1 dated 2022-12-20

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Package mmrm updated to version 0.2.2 with previous version 0.1.3 dated 2022-10-18

Title: Mixed Models for Repeated Measures
Description: Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E> for a tutorial and Mallinckrodt, Lane and Schnell (2008) <doi:10.1177/009286150804200402> for a review. This package implements MMRM based on the marginal linear model without random effects using Template Model Builder ('TMB') which enables fast and robust model fitting. Users can specify a variety of covariance matrices, weight observations, fit models with restricted or standard maximum likelihood inference, perform hypothesis testing with Satterthwaite or Kenward-Roger adjustment, and extract least square means estimates by using 'emmeans'.
Author: Daniel Sabanes Bove [aut, cre], Julia Dedic [aut], Doug Kelkhoff [aut], Kevin Kunzmann [aut], Brian Matthew Lang [aut], Liming Li [aut], Ya Wang [aut], Craig Gower-Page [ctb], Boehringer Ingelheim Ltd. [cph, fnd], Gilead Sciences, Inc. [cph, fnd], F. [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@roche.com>

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Package lingtypology updated to version 1.1.11 with previous version 1.1.10 dated 2022-11-10

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <https://glottolog.org/> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <https://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://docs.ropensci.org/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and some others and to create your own database website.
Author: George Moroz [aut, cre] , Kirill Koncha [ctb] , Mikhail Leonov [ctb], Anna Smirnova [ctb], Ekaterina Zalivina [ctb]
Maintainer: George Moroz <agricolamz@gmail.com>

Diff between lingtypology versions 1.1.10 dated 2022-11-10 and 1.1.11 dated 2022-12-20

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Package isoband updated to version 0.2.7 with previous version 0.2.6 dated 2022-10-06

Title: Generate Isolines and Isobands from Regularly Spaced Elevation Grids
Description: A fast C++ implementation to generate contour lines (isolines) and contour polygons (isobands) from regularly spaced grids containing elevation data.
Author: Hadley Wickham [aut, cre] , Claus O. Wilke [aut] , Thomas Lin Pedersen [aut]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package bs4Dash updated to version 2.2.1 with previous version 2.2.0 dated 2022-12-19

Title: A 'Bootstrap 4' Version of 'shinydashboard'
Description: Make 'Bootstrap 4' Shiny dashboards. Use the full power of 'AdminLTE3', a dashboard template built on top of 'Bootstrap 4' <https://github.com/ColorlibHQ/AdminLTE>.
Author: David Granjon [aut, cre], RinteRface [cph], Almasaeed Studio [ctb, cph] , Winston Chang [ctb, cph]
Maintainer: David Granjon <dgranjon@ymail.com>

Diff between bs4Dash versions 2.2.0 dated 2022-12-19 and 2.2.1 dated 2022-12-20

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Package RiverLoad (with last version 1.0.3) was removed from CRAN

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

2022-01-04 1.0.3
2019-12-10 1.0.2
2019-04-03 1.0.1
2019-02-01 1.0

Permanent link
Package date updated to version 1.2-41 with previous version 1.2-40 dated 2022-10-18

Title: Functions for Handling Dates
Description: Functions for handling dates.
Author: Terry Therneau [aut], Thomas Lumley [trl] , Kjetil Halvorsen [trl] , Kurt Hornik [trl, ctb, cre] , R Core Team [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between date versions 1.2-40 dated 2022-10-18 and 1.2-41 dated 2022-12-20

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Package salso updated to version 0.3.29 with previous version 0.3.27 dated 2022-12-02

Title: Search Algorithms and Loss Functions for Bayesian Clustering
Description: The SALSO algorithm is an efficient randomized greedy search method to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. The algorithm is implemented for many loss functions, including the Binder loss and a generalization of the variation of information loss, both of which allow for unequal weights on the two types of clustering mistakes. Efficient implementations are also provided for Monte Carlo estimation of the posterior expected loss of a given clustering estimate. See Dahl, Johnson, Müller (2022) <doi:10.1080/10618600.2022.2069779>.
Author: David B. Dahl [aut, cre] , Devin J. Johnson [aut] , Peter Mueller [aut], Alex Crichton [cph] , "bluss" Ulrik Sverdrup [cph] , Brendan Zabarauskas [cph] , David B. Dahl [cph] , David Tolnay [cph] , DutchGhost [cph] , Enthought, Inc. [cph] , Gilad Naama [...truncated...]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between salso versions 0.3.27 dated 2022-12-02 and 0.3.29 dated 2022-12-20

 salso-0.3.27/salso/src/README.md                    |only
 salso-0.3.29/salso/DESCRIPTION                      |   94 +++++++++++++++++---
 salso-0.3.29/salso/MD5                              |   15 +--
 salso-0.3.29/salso/NEWS                             |    3 
 salso-0.3.29/salso/inst/cargo.log                   |    9 -
 salso-0.3.29/salso/src/rust/Cargo.lock              |   20 ++--
 salso-0.3.29/salso/src/rust/roxido/Cargo.lock       |   16 +--
 salso-0.3.29/salso/src/rust/roxido_macro/Cargo.lock |   16 +--
 salso-0.3.29/salso/src/rust/vendor.tar.xz           |binary
 9 files changed, 122 insertions(+), 51 deletions(-)

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Package egor updated to version 1.22.12 with previous version 1.22.5 dated 2022-05-13

Title: Import and Analyse Ego-Centered Network Data
Description: Tools for importing, analyzing and visualizing ego-centered network data. Supports several data formats, including the export formats of 'EgoNet', 'EgoWeb 2.0' and 'openeddi'. An interactive (shiny) app for the intuitive visualization of ego-centered networks is provided. Also included are procedures for creating and visualizing Clustered Graphs (Lerner 2008 <DOI:10.1109/PACIFICVIS.2008.4475458>).
Author: Till Krenz [aut, cre], Pavel N. Krivitsky [aut], Raffaele Vacca [aut], Michal Bojanowski [aut] , Markus Gamper [ctb], Andreas Herz [aut], Christopher McCarty [ctb]
Maintainer: Till Krenz <egor@tillt.net>

Diff between egor versions 1.22.5 dated 2022-05-13 and 1.22.12 dated 2022-12-20

 DESCRIPTION                            |   12 
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 NAMESPACE                              |    1 
 NEWS.md                                |    8 
 R/as_egor.R                            |    8 
 R/clustered.graphs.R                   |   42 +-
 R/dplyr_methods.R                      |    4 
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 R/make_egor.R                          |    2 
 R/plot_ego_gram.R                      |   16 -
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 inst/check_and_release.R               |    7 
 inst/doc/egor_allbus.html              |  136 +++++----
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 man/egor-package.Rd                    |    2 
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 man/helper.Rd                          |   18 -
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 man/twofiles_to_egor.Rd                |    3 
 tests/testthat/test-clustered_graphs.R |   11 
 tests/testthat/test-dplyr_methods.R    |   12 
 tests/testthat/test-plot_egor.R        |   32 ++
 27 files changed, 646 insertions(+), 530 deletions(-)

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