Tue, 03 Dec 2024

Package genular (with last version 1.0.1) was removed from CRAN

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

2024-10-18 1.0.1
2024-10-10 1.0.0

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Package sivirep updated to version 1.0.1 with previous version 1.0.0 dated 2024-11-14

Title: Data Wrangling and Automated Reports from 'SIVIGILA' Source
Description: Data wrangling, pre-processing, and generating automated reports from Colombia's epidemiological surveillance system, 'SIVIGILA' <https://portalsivigila.ins.gov.co/>. It provides a customizable R Markdown template for analysis and automatic generation of epidemiological reports that can be adapted to local, regional, and national contexts. This tool offers a standardized and reproducible workflow that helps to reduce manual labor and potential errors in report generation, improving their efficiency and consistency.
Author: Geraldine Gomez-Millan [aut, cre, ctb] , Zulma M. Cucunuba [aut, ctb] , Jennifer A. Mendez-Romero [aut, ctb] , Claudia Huguett-Aragon [aut, ctb] , Hugo Gruson [ctb] , Juanita Romero-Garces [ctb] , Jaime Pavlich-Mariscal [ctb] , Laura Gomez Bermeo [ct [...truncated...]
Maintainer: Geraldine Gomez-Millan <geralidine.gomez@javeriana.edu.co>

Diff between sivirep versions 1.0.0 dated 2024-11-14 and 1.0.1 dated 2024-12-03

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 sivirep-1.0.1/sivirep/NEWS.md                                        |   15 
 sivirep-1.0.1/sivirep/R/checking_data.R                              |   46 +-
 sivirep-1.0.1/sivirep/R/import_data.R                                |   12 
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 sivirep-1.0.1/sivirep/man/plot_sex_semanaepi.Rd                      |    2 
 sivirep-1.0.1/sivirep/man/plot_tipo_caso.Rd                          |    2 
 sivirep-1.0.1/sivirep/man/plot_years.Rd                              |    2 
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Package simdata updated to version 0.4.1 with previous version 0.4.0 dated 2024-07-01

Title: Generate Simulated Datasets
Description: Generate simulated datasets from an initial underlying distribution and apply transformations to obtain realistic data. Implements the 'NORTA' (Normal-to-anything) approach from Cario and Nelson (1997) and other data generating mechanisms. Simple network visualization tools are provided to facilitate communicating the simulation setup.
Author: Michael Kammer [aut, cre]
Maintainer: Michael Kammer <michael.kammer@meduniwien.ac.at>

Diff between simdata versions 0.4.0 dated 2024-07-01 and 0.4.1 dated 2024-12-03

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 NEWS.md                               |    4 
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Package gasanalyzer updated to version 0.4.2 with previous version 0.4.1 dated 2024-06-21

Title: Import, Recompute and Analyze Data from Portable Gas Analyzers
Description: The gasanalyzer R package offers methods for importing, preprocessing, and analyzing data related to photosynthetic characteristics (gas exchange, chlorophyll fluorescence and isotope ratios). It translates variable names into a standard format, and can recalculate derived, physiological quantities using imported or predefined equations. The package also allows users to assess the sensitivity of their results to different assumptions used in the calculations. See also Tholen (2024) <doi:10.1093/aobpla/plae035>.
Author: Danny Tholen [aut, cre]
Maintainer: Danny Tholen <thalecress+p@gmail.com>

Diff between gasanalyzer versions 0.4.1 dated 2024-06-21 and 0.4.2 dated 2024-12-03

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Package tibbletime updated to version 0.1.9 with previous version 0.1.8 dated 2023-01-24

Title: Time Aware Tibbles
Description: Built on top of the 'tibble' package, 'tibbletime' is an extension that allows for the creation of time aware tibbles. Some immediate advantages of this include: the ability to perform time-based subsetting on tibbles, quickly summarising and aggregating results by time periods, and creating columns that can be used as 'dplyr' time-based groups.
Author: Davis Vaughan [aut, cre], Matt Dancho [aut]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between tibbletime versions 0.1.8 dated 2023-01-24 and 0.1.9 dated 2024-12-03

 DESCRIPTION                                      |   12 -
 MD5                                              |   38 ++--
 NAMESPACE                                        |   42 ++++
 NEWS.md                                          |    4 
 R/index-based-generics.R                         |   28 ++
 R/seq.R                                          |    3 
 R/to_posixct_numeric.R                           |   11 +
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 inst/doc/TT-04-use-with-dplyr.R                  |    2 
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 man/ceiling_index.Rd                             |    9 
 man/floor_index.Rd                               |    9 
 man/tibbletime.Rd                                |    4 
 tests/testthat/test_create_series.R              |    4 
 20 files changed, 430 insertions(+), 336 deletions(-)

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Package geocausal updated to version 0.3.3 with previous version 0.3.2 dated 2024-07-19

Title: Causal Inference with Spatio-Temporal Data
Description: Spatio-temporal causal inference based on point process data. You provide the raw data of locations and timings of treatment and outcome events, specify counterfactual scenarios, and the package estimates causal effects over specified spatial and temporal windows. See Papadogeorgou, et al. (2022) <doi:10.1111/rssb.12548> and Mukaigawara, et al. (2024) <doi:10.31219/osf.io/5kc6f>.
Author: Mitsuru Mukaigawara [cre, aut] , Lingxiao Zhou [aut], Georgia Papadogeorgou [aut] , Jason Lyall [aut] , Kosuke Imai [aut]
Maintainer: Mitsuru Mukaigawara <mitsuru_mukaigawara@g.harvard.edu>

Diff between geocausal versions 0.3.2 dated 2024-07-19 and 0.3.3 dated 2024-12-03

 DESCRIPTION            |   12 +-
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 NAMESPACE              |   65 ++++++++++++---
 NEWS.md                |    5 +
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 R/get_estimates.R      |    2 
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New package aphylo with initial version 0.3-4
Package: aphylo
Title: Statistical Inference and Prediction of Annotations in Phylogenetic Trees
Version: 0.3-4
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>. Focusing 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: 2024-12-03 16:29:02 UTC; u6039184
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: 2024-12-03 23:00:10 UTC

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New package extractox with initial version 0.1.0
Package: extractox
Title: Extract Tox Info from Various Databases
Version: 0.1.0
Description: Extract toxicological and chemical information from databases maintained by scientific agencies and resources, including the Comparative Toxicogenomics Database <https://ctdbase.org/>, the Integrated Chemical Environment <https://ice.ntp.niehs.nih.gov/>, the Integrated Risk Information System <https://cfpub.epa.gov/ncea/iris/>, the CompTox Chemicals Dashboard Resource Hub <https://www.epa.gov/comptox-tools/comptox-chemicals-dashboard-resource-hub>, and PubChem <https://pubchem.ncbi.nlm.nih.gov/>.
License: MIT + file LICENSE
URL: https://github.com/c1au6i0/extractox, https://c1au6i0.github.io/extractox/
BugReports: https://github.com/c1au6i0/extractox/issues
Depends: R (>= 4.1)
Imports: cli, httr2, janitor, pingr, readxl, rvest, webchem
Suggests: openxlsx, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-12-03 03:11:03 UTC; heverz
Author: Claudio Zanettini [aut, cre, cph] , Lucio Queiroz [aut]
Maintainer: Claudio Zanettini <claudio.zanettini@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-03 21:40:02 UTC

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Package RSQLite updated to version 2.3.9 with previous version 2.3.8 dated 2024-11-17

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions in a recent version is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between RSQLite versions 2.3.8 dated 2024-11-17 and 2.3.9 dated 2024-12-03

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 10 files changed, 148 insertions(+), 54 deletions(-)

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Package harbinger updated to version 1.1.707 with previous version 1.0.787 dated 2024-05-13

Title: A Unified Time Series Event Detection Framework
Description: By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In the literature, there are several methods for detecting events. However, searching for a suitable time series method is a complex task, especially considering that the nature of events is often unknown. This work presents Harbinger, a framework for integrating and analyzing event detection methods. Harbinger contains several state-of-the-art methods described in Salles et al. (2020) <doi:10.5753/sbbd.2020.13626>.
Author: Eduardo Ogasawara [aut, ths, cre] , Antonio Castro [aut], Antonio Mello [aut], Ellen Paixao [aut], Fernando Fraga [aut], Heraldo Borges [aut], Janio Lima [aut], Jessica Souza [aut], Lais Baroni [aut], Lucas Tavares [aut], Rebecca Salles [aut], Diego [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between harbinger versions 1.0.787 dated 2024-05-13 and 1.1.707 dated 2024-12-03

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New package csmGmm with initial version 0.3.0
Package: csmGmm
Title: Conditionally Symmetric Multidimensional Gaussian Mixture Model
Version: 0.3.0
Description: Implements the conditionally symmetric multidimensional Gaussian mixture model (csmGmm) for large-scale testing of composite null hypotheses in genetic association applications such as mediation analysis, pleiotropy analysis, and replication analysis. In such analyses, we typically have J sets of K test statistics where K is a small number (e.g. 2 or 3) and J is large (e.g. 1 million). For each one of the J sets, we want to know if we can reject all K individual nulls. Please see the vignette for a quickstart guide. The paper describing these methods is "Testing a Large Number of Composite Null Hypotheses Using Conditionally Symmetric Multidimensional Gaussian Mixtures in Genome-Wide Studies" by Sun R, McCaw Z, & Lin X (2024, <doi:10.1080/01621459.2024.2422124>). The paper is accepted and published online (but not yet in print) in the Journal of the American Statistical Association as of Dec 1 2024.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, mvtnorm, rlang, magrittr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-12-02 20:45:12 UTC; rsun3
Author: Ryan Sun [aut, cre]
Maintainer: Ryan Sun <ryansun.work@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-03 19:30:02 UTC

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New package basicspace with initial version 0.25
Package: basicspace
Title: Recovering a Basic Space from Issue Scales
Version: 0.25
Date: 2024-12-02
Author: Royce Carroll [aut], Christopher Hare [aut, cre], Jeffrey B. Lewis [aut], James Lo [aut], Keith T. Poole [aut], Howard Rosenthal [aut]
Maintainer: Christopher Hare <cdhare@ucdavis.edu>
Description: Provides functions to estimate latent dimensions of choice and judgment using Aldrich-McKelvey and Blackbox scaling methods, as described in Poole et al. (2016, <doi:10.18637/jss.v069.i07>). These techniques allow researchers (particularly those analyzing political attitudes, public opinion, and legislative behavior) to recover spatial estimates of political actors' ideal points and stimuli from issue scale data, accounting for perceptual bias, multidimensional spaces, and missing data. The package uses singular value decomposition and alternating least squares (ALS) procedures to scale self-placement and perceptual data into a common latent space for the analysis of ideological or evaluative dimensions. Functionality also include tools for assessing model fit, handling complex survey data structures, and reproducing simulated datasets for methodological validation.
License: GPL-2
Depends: R (>= 3.0.0), tools
URL: https://CRAN.R-project.org/package=basicspace
NeedsCompilation: yes
Packaged: 2024-12-02 16:53:42 UTC; chare
Repository: CRAN
Date/Publication: 2024-12-03 19:10:01 UTC

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New package sshicm with initial version 0.1.0
Package: sshicm
Title: Information Consistency-Based Measures for Spatial Stratified Heterogeneity
Version: 0.1.0
Description: Spatial stratified heterogeneity (SSH) denotes the coexistence of within-strata homogeneity and between-strata heterogeneity. Information consistency-based methods provide a rigorous approach to quantify SSH and evaluate its role in spatial processes, grounded in principles of geographical stratification and information theory (Bai, H. et al. (2023) <doi:10.1080/24694452.2023.2223700>; Wang, J. et al. (2024) <doi:10.1080/24694452.2023.2289982>).
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/sshicm/, https://github.com/stscl/sshicm
BugReports: https://github.com/stscl/sshicm/issues
Depends: R (>= 4.1.0)
LinkingTo: Rcpp, RcppThread
Imports: dplyr, purrr, sdsfun (>= 0.5.0), sf
Suggests: gdverse, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-12-02 16:04:56 UTC; dell
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-03 19:00:02 UTC

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New package resourcecode with initial version 0.2.1
Package: resourcecode
Title: Access to the 'RESOURCECODE' Hindcast Database
Version: 0.2.1
Date: 2024-11-29
Description: Utility functions to download data from the 'RESOURCECODE' hindcast database of sea-states, time series of sea-state parameters and time series of 1D and 2D wave spectra. See <https://resourcecode.ifremer.fr> for more details about the available data. Also provides facilities to plot and analyse downloaded data, such as computing the sea-state parameters from both the 1D and 2D surface elevation variance spectral density.
License: GPL (>= 3)
URL: https://github.com/Resourcecode-project/r-resourcecode, https://resourcecode-project.github.io/r-resourcecode/
BugReports: https://github.com/Resourcecode-project/r-resourcecode/issues
Depends: R (>= 3.6)
Imports: abind, curl, geosphere, ggplot2, jsonlite, ncdf4, pracma, Rcpp, rlang, sf, stats, tibble, tidyr
Suggests: knitr, rmarkdown, resourcecodedata, testthat, vdiffr
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Additional_repositories: https://resourcecode-project.github.io/drat/
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
Packaged: 2024-12-02 14:54:43 UTC; nraillar
Author: Nicolas Raillard [aut, cre]
Maintainer: Nicolas Raillard <nicolas.raillard@ifremer.fr>
Repository: CRAN
Date/Publication: 2024-12-03 19:00:05 UTC

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New package RCNA with initial version 1.0
Package: RCNA
Title: Robust Copy Number Alteration Detection (RCNA)
Version: 1.0
Description: Detects copy number alteration events in targeted exon sequencing data for tumor samples without matched normal controls. The advantage of this method is that it can be applied to smaller sequencing panels including evaluations of exon, transcript, gene, or even user specified genetic regions of interest. Functions in the package include steps for GC-content correction, calculation of quantile based normal karyotype ranges, and calculation of feature score. Cutoffs for "normal" quantile and score are user-adjustable.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Imports: doParallel, methods, utils, modeest, data.table, foreach, R.utils
Suggests: knitr, rmarkdown, usethis
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-12-02 13:13:50 UTC; mbradley
Author: Matt Bradley [aut, cre]
Maintainer: Matt Bradley <mbradley@emmes.com>
Repository: CRAN
Date/Publication: 2024-12-03 18:40:06 UTC

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New package messy with initial version 0.1.0
Package: messy
Title: Create Messy Data from Clean Data Frames
Version: 0.1.0
Description: For the purposes of teaching, it is often desirable to show examples of working with messy data and how to clean it. This R package creates messy data from clean, tidy data frames so that students have a clean example to work towards.
Depends: R (>= 4.1)
Imports: dplyr, rlang, stringr
License: CC BY 4.0
Suggests: lubridate, testthat (>= 3.0.0)
Encoding: UTF-8
URL: https://nrennie.rbind.io/messy/, https://github.com/nrennie/messy
BugReports: https://github.com/nrennie/messy/issues
NeedsCompilation: no
Packaged: 2024-12-02 13:54:12 UTC; rennien2
Author: Nicola Rennie [aut, cre, cph]
Maintainer: Nicola Rennie <nrennie35@gmail.com>
Repository: CRAN
Date/Publication: 2024-12-03 18:50:02 UTC

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Package ipd updated to version 0.1.3 with previous version 0.1.2 dated 2024-10-24

Title: Inference on Predicted Data
Description: Performs valid statistical inference on predicted data (IPD) using recent methods, where for a subset of the data, the outcomes have been predicted by an algorithm. Provides a wrapper function with specified defaults for the type of model and method to be used for estimation and inference. Further provides methods for tidying and summarizing results. Salerno et al., (2024) <doi:10.48550/arXiv.2410.09665>.
Author: Stephen Salerno [aut, cre, cph] , Jiacheng Miao [aut], Awan Afiaz [aut], Kentaro Hoffman [aut], Anna Neufeld [aut], Qiongshi Lu [aut], Tyler H McCormick [aut], Jeffrey T Leek [aut]
Maintainer: Stephen Salerno <ssalerno@fredhutch.org>

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Package deeptrafo updated to version 1.0-0 with previous version 0.1-1 dated 2022-11-22

Title: Fitting Deep Conditional Transformation Models
Description: Allows for the specification of deep conditional transformation models (DCTMs) and ordinal neural network transformation models, as described in Baumann et al (2021) <doi:10.1007/978-3-030-86523-8_1> and Kook et al (2022) <doi:10.1016/j.patcog.2021.108263>. Extensions such as autoregressive DCTMs (Ruegamer et al, 2023, <doi:10.1007/s11222-023-10212-8>) and transformation ensembles (Kook et al, 2022, <doi:10.48550/arXiv.2205.12729>) are implemented. The software package is described in Kook et al (2024, <doi:10.18637/jss.v111.i10>).
Author: Lucas Kook [aut, cre], Philipp Baumann [aut], David Ruegamer [aut]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

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Package spmoran updated to version 0.3.2 with previous version 0.3.1 dated 2024-10-12

Title: Fast Spatial and Spatio-Temporal Regression using Moran Eigenvectors
Description: A collection of functions for estimating spatial and spatio-temporal regression models. Moran eigenvectors are used as spatial basis functions to efficiently approximate spatially dependent Gaussian processes (i.e., random effects eigenvector spatial filtering; see Murakami and Griffith 2015 <doi: 10.1007/s10109-015-0213-7>). The implemented models include linear regression with residual spatial dependence, spatially/spatio-temporally varying coefficient models (Murakami et al., 2017, 2024; <doi:10.1016/j.spasta.2016.12.001>,<doi:10.48550/arXiv.2410.07229>), spatially filtered unconditional quantile regression (Murakami and Seya, 2019 <doi:10.1002/env.2556>), Gaussian and non-Gaussian spatial mixed models through compositionally-warping (Murakami et al. 2021, <doi:10.1016/j.spasta.2021.100520>).
Author: Daisuke Murakami [aut, cre]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

Diff between spmoran versions 0.3.1 dated 2024-10-12 and 0.3.2 dated 2024-12-03

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Package abc updated to version 2.2.2 with previous version 2.2.1 dated 2022-05-19

Title: Tools for Approximate Bayesian Computation (ABC)
Description: Implements several ABC algorithms for performing parameter estimation, model selection, and goodness-of-fit. Cross-validation tools are also available for measuring the accuracy of ABC estimates, and to calculate the misclassification probabilities of different models.
Author: Csillery Katalin [aut], Lemaire Louisiane [aut], Francois Olivier [aut], Blum Michael [aut, cre]
Maintainer: Blum Michael <michael.blum.temp@gmail.com>

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Package breathteststan updated to version 0.8.8 with previous version 0.8.5 dated 2024-01-13

Title: Stan-Based Fit to Gastric Emptying Curves
Description: Stan-based curve-fitting function for use with package 'breathtestcore' by the same author. Stan functions are refactored here for easier testing.
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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Package dbarts updated to version 0.9-30 with previous version 0.9-28 dated 2024-05-01

Title: Discrete Bayesian Additive Regression Trees Sampler
Description: Fits Bayesian additive regression trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) while allowing the updating of predictors or response so that BART can be incorporated as a conditional model in a Gibbs/Metropolis-Hastings sampler. Also serves as a drop-in replacement for package 'BayesTree'.
Author: Vincent Dorie [aut, cre] , Hugh Chipman [aut], Robert McCulloch [aut], Armon Dadgar [ctb] , R Core Team [ctb] , Guido U Draheim [ctb] , Maarten Bosmans [ctb] , Christophe Tournayre [ctb] , Michael Petch [ctb] , Rafael de Lucena Valle [ctb] , Steven G [...truncated...]
Maintainer: Vincent Dorie <vdorie@gmail.com>

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Package breathtestcore updated to version 0.8.8 with previous version 0.8.7 dated 2024-01-24

Title: Core Functions to Read and Fit 13c Time Series from Breath Tests
Description: Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'. Methods to fit breath test curves with Bayesian Stan methods are refactored to package 'breathteststan'. For a Shiny GUI, see package 'dmenne/breathtestshiny' on github.
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], Andreas Steingoetter [dtc], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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Package SSDforR updated to version 1.5.36 with previous version 1.5.35 dated 2024-08-29

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

Diff between SSDforR versions 1.5.35 dated 2024-08-29 and 1.5.36 dated 2024-12-03

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Package RcppEnsmallen updated to version 0.2.22.1.1 with previous version 0.2.21.1.1 dated 2024-02-16

Title: Header-Only C++ Mathematical Optimization Library for 'Armadillo'
Description: 'Ensmallen' is a templated C++ mathematical optimization library (by the 'MLPACK' team) that provides a simple set of abstractions for writing an objective function to optimize. Provided within are various standard and cutting-edge optimizers that include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. The 'RcppEnsmallen' package includes the header files from the 'Ensmallen' library and pairs the appropriate header files from 'armadillo' through the 'RcppArmadillo' package. Therefore, users do not need to install 'Ensmallen' nor 'Armadillo' to use 'RcppEnsmallen'. Note that 'Ensmallen' is licensed under 3-Clause BSD, 'Armadillo' starting from 7.800.0 is licensed under Apache License 2, 'RcppArmadillo' (the 'Rcpp' bindings/bridge to 'Armadillo') is licensed under the GNU GPL version 2 or later. Thus, 'RcppEnsmallen' is also licensed under similar terms. Note that 'Ensmallen' requires a compiler that supports 'C++14 [...truncated...]
Author: James Joseph Balamuta [aut, cre, cph] , Dirk Eddelbuettel [aut, cph]
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>

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Package bit updated to version 4.5.0.1 with previous version 4.5.0 dated 2024-09-20

Title: Classes and Methods for Fast Memory-Efficient Boolean Selections
Description: Provided are classes for boolean and skewed boolean vectors, fast boolean methods, fast unique and non-unique integer sorting, fast set operations on sorted and unsorted sets of integers, and foundations for ff (range index, compression, chunked processing).
Author: Jens Oehlschlaegel [aut, cre], Brian Ripley [ctb]
Maintainer: Jens Oehlschlaegel <Jens.Oehlschlaegel@truecluster.com>

Diff between bit versions 4.5.0 dated 2024-09-20 and 4.5.0.1 dated 2024-12-03

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Package processmapR updated to version 0.5.6 with previous version 0.5.5 dated 2024-08-30

Title: Construct Process Maps Using Event Data
Description: Visualize event logs using directed graphs, i.e. process maps. Part of the 'bupaR' framework.
Author: Gert Janssenswillen [aut, cre], Gerard van Hulzen [ctb], BenoƮt Depaire [ctb], Felix Mannhardt [ctb], Thijs Beuving [ctb], urvikalia [ctb], Hasselt University [cph]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package opendataformat updated to version 2.1.0 with previous version 2.0.0 dated 2024-11-19

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>

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Package klassR updated to version 1.0.1 with previous version 1.0.0 dated 2024-11-15

Title: Classifications and Codelists for Statistics Norway
Description: Functions to search, retrieve, apply and update classifications and codelists using Statistics Norway's API <https://www.ssb.no/klass> from the system 'KLASS'. Retrieves classifications by date with options to choose language, hierarchical level and formatting.
Author: Susie Jentoft [aut, cre], Diana-Cristina Iancu [aut], Lisa Li [aut], Oeyvind I. Berntsen [aut], Statistics Norway [cph]
Maintainer: Susie Jentoft <susie.jentoft@ssb.no>

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Package pkgmaker (with last version 0.32.10) was removed from CRAN

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

2023-05-03 0.32.10
2023-02-14 0.32.8
2023-01-11 0.32.7

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Package ggfun updated to version 0.1.8 with previous version 0.1.7 dated 2024-10-23

Title: Miscellaneous Functions for 'ggplot2'
Description: Useful functions and utilities for 'ggplot' object (e.g., geometric layers, themes, and utilities to edit the object).
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between ggfun versions 0.1.7 dated 2024-10-23 and 0.1.8 dated 2024-12-03

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Package BANAM updated to version 0.2.2 with previous version 0.2.1 dated 2024-06-20

Title: Bayesian Analysis of the Network Autocorrelation Model
Description: The network autocorrelation model (NAM) can be used for studying the degree of social influence regarding an outcome variable based on one or more known networks. The degree of social influence is quantified via the network autocorrelation parameters. In case of a single network, the Bayesian methods of Dittrich, Leenders, and Mulder (2017) <DOI:10.1016/j.socnet.2016.09.002> and Dittrich, Leenders, and Mulder (2019) <DOI:10.1177/0049124117729712> are implemented using a normal, flat, or independence Jeffreys prior for the network autocorrelation. In the case of multiple networks, the Bayesian methods of Dittrich, Leenders, and Mulder (2020) <DOI:10.1177/0081175020913899> are implemented using a multivariate normal prior for the network autocorrelation parameters. Flat priors are implemented for estimating the coefficients. For Bayesian testing of equality and order-constrained hypotheses, the default Bayes factor of Gu, Mulder, and Hoijtink, (2018) <DOI:10.1111/bms [...truncated...]
Author: Joris Mulder [aut, cre], Dino Dittrich [aut, ctb], Roger Leenders [aut, ctb]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

Diff between BANAM versions 0.2.1 dated 2024-06-20 and 0.2.2 dated 2024-12-03

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Package particles updated to version 0.2.4 with previous version 0.2.3 dated 2022-08-19

Title: A Graph Based Particle Simulator Based on D3-Force
Description: Simulating particle movement in 2D space has many application. The 'particles' package implements a particle simulator based on the ideas behind the 'd3-force' 'JavaScript' library. 'particles' implements all forces defined in 'd3-force' as well as others such as vector fields, traps, and attractors.
Author: Thomas Lin Pedersen [aut, cre] , Andrei Kashcha [ctb]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package FuzzyStatTraEOO (with last version 1.0) was removed from CRAN

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2022-12-16 1.0
2022-10-14 0.1.0

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

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2022-03-17 0.0.2
2020-11-18 0.0.1

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Package wooldridge (with last version 1.4-3) was removed from CRAN

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2023-05-03 1.4-3

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Package googleCloudRunner (with last version 0.5.0) was removed from CRAN

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

2022-02-28 0.5.0
2021-01-30 0.4.1
2021-01-13 0.4.0
2020-09-10 0.3.0
2020-05-02 0.2.0
2020-02-06 0.1.1

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Package aphylo (with last version 0.3-3) was removed from CRAN

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

2023-09-07 0.3-3

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Package W4MRUtils (with last version 1.0.0) was removed from CRAN

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

2023-09-08 1.0.0
2022-12-15 0.0.1

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

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2023-05-21 0.2.0

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Package npclust updated to version 0.1.1 with previous version 0.1.0 dated 2023-04-12

Title: Nonparametric Tests for Incomplete Clustered Data
Description: Nonparametric tests for clustered data in pre-post intervention design documented in Cui and Harrar (2021) <doi:10.1002/bimj.201900310> and Harrar and Cui (2022) <doi:10.1016/j.jspi.2022.05.009>. Other than the main test results mentioned in the reference paper, this package also provides a function to calculate the sample size allocations for the input long format data set, and also a function for adjusted/unadjusted confidence intervals calculations. There are also functions to visualize the distribution of data across different intervention groups over time, and also the adjusted/unadjusted confidence intervals.
Author: Yue Cui [aut, cre] , Solomon W. Harrar [aut]
Maintainer: Yue Cui <YueCui@MissouriState.edu>

Diff between npclust versions 0.1.0 dated 2023-04-12 and 0.1.1 dated 2024-12-03

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Package knfi updated to version 1.0.1.9 with previous version 1.0.1 dated 2024-11-20

Title: Analysis of Korean National Forest Inventory Database
Description: Understanding the current status of forest resources is essential for monitoring changes in forest ecosystems and generating related statistics. In South Korea, the National Forest Inventory (NFI) surveys over 4,500 sample plots nationwide every five years and records 70 items, including forest stand, forest resource, and forest vegetation surveys. Many researchers use NFI as the primary data for research, such as biomass estimation or analyzing the importance value of each species over time and space, depending on the research purpose. However, the large volume of accumulated forest survey data from across the country can make it challenging to manage and utilize such a vast dataset. To address this issue, we developed an R package that efficiently handles large-scale NFI data across time and space. The package offers a comprehensive workflow for NFI data analysis. It starts with data processing, where read_nfi() function reconstructs NFI data according to the researcher's needs while [...truncated...]
Author: Sinyoung Park [aut, cre] , Wonhee Cho [aut, ctb] , Inyoo Kim [aut, ctb] , Wontaek Lim [aut, ctb] , Dongwook W. Ko [aut, ths]
Maintainer: Sinyoung Park <youngsin0306@kookmin.ac.kr>

Diff between knfi versions 1.0.1 dated 2024-11-20 and 1.0.1.9 dated 2024-12-03

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Package iq updated to version 1.10 with previous version 1.9.12 dated 2023-12-06

Title: Protein Quantification in Mass Spectrometry-Based Proteomics
Description: An implementation of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a comprehensive pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, and a wrapper for the median polish algorithm by Tukey (1977, ISBN:0201076160). In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.
Author: Thang Pham [aut, cre, cph, ctb] , Alex Henneman [ctb]
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>

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Package BFpack updated to version 1.4.0 with previous version 1.3.0 dated 2024-06-19

Title: Flexible Bayes Factor Testing of Scientific Expectations
Description: Implementation of default Bayes factors for testing statistical hypotheses under various statistical models. The package is intended for applied quantitative researchers in the social and behavioral sciences, medical research, and related fields. The Bayes factor tests can be executed for statistical models such as univariate and multivariate normal linear models, correlation analysis, generalized linear models, special cases of linear mixed models, survival models, relational event models. Parameters that can be tested are location parameters (e.g., group means, regression coefficients), variances (e.g., group variances), and measures of association (e.g,. polychoric/polyserial/biserial/tetrachoric/product moments correlations), among others. The statistical underpinnings are described in Mulder and Xin (2022) <DOI:10.1080/00273171.2021.1904809>, Mulder and Gelissen (2019) <DOI:10.1080/02664763.2021.1992360>, Mulder (2016) <DOI:10.1016/j.jmp.2014.09.004>, Mulder and [...truncated...]
Author: Joris Mulder [aut, cre], Caspar van Lissa [aut, ctb], Donald R. Williams [aut, ctb], Xin Gu [aut, ctb], Anton Olsson-Collentine [aut, ctb], Florian Boeing-Messing [aut, ctb], Jean-Paul Fox [aut, ctb], Janosch Menke [ctb], Robbie van Aert [ctb], Barry [...truncated...]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

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Package MazamaCoreUtils updated to version 0.5.3 with previous version 0.5.2 dated 2024-02-08

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Spencer Pease [ctb], Thomas Bergamaschi [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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