Thu, 28 Mar 2024

Package smd updated to version 0.6.7 with previous version 0.6.6 dated 2020-10-22

Title: Compute Standardized Mean Differences
Description: Computes standardized mean differences and confidence intervals for multiple data types based on Yang, D., & Dalton, J. E. (2012) <http://www.lerner.ccf.org/qhs/software/lib/stddiff.pdf>.
Author: Bradley Saul [aut, cre], Alex Breskin [ctb], Catie Wiener [ctb], Matt Phelan [ctb], Daniel Sjoberg [ctb]
Maintainer: Bradley Saul <bradleysaul@fastmail.com>

Diff between smd versions 0.6.6 dated 2020-10-22 and 0.6.7 dated 2024-03-28

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Package sspse updated to version 1.1.0-1 with previous version 1.1.0 dated 2023-08-08

Title: Estimating Hidden Population Size using Respondent Driven Sampling Data
Description: Estimate the size of a networked population based on respondent-driven sampling data. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Handcock, Gile and Mar (2014) <doi:10.1214/14-EJS923>, Handcock, Gile and Mar (2015) <doi:10.1111/biom.12255>, Kim and Handcock (2021) <doi:10.1093/jssam/smz055>, and McLaughlin, et. al. (2023) <doi:10.1214/23-AOAS1807>.
Author: Mark S. Handcock [aut, cre, cph] , Krista J. Gile [aut, cph], Brian Kim [ctb], Katherine R. McLaughlin [ctb]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

Diff between sspse versions 1.1.0 dated 2023-08-08 and 1.1.0-1 dated 2024-03-28

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Package WikipediR updated to version 1.7.0 with previous version 1.5.0 dated 2017-02-05

Title: A MediaWiki API Wrapper
Description: A wrapper for the MediaWiki API, aimed particularly at the Wikimedia 'production' wikis, such as Wikipedia. It can be used to retrieve page text, information about users or the history of pages, and elements of the category tree.
Author: Os Keyes [aut, cre], Brock Tilbert [ctb], Clemens Schmid [aut]
Maintainer: Os Keyes <ironholds@gmail.com>

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Package jordan updated to version 1.0-5 with previous version 1.0-1 dated 2021-04-08

Title: A Suite of Routines for Working with Jordan Algebras
Description: A Jordan algebra is an algebraic object originally designed to study observables in quantum mechanics. Jordan algebras are commutative but non-associative; they satisfy the Jordan identity. The package follows the ideas and notation of K. McCrimmon (2004, ISBN:0-387-95447-3) "A Taste of Jordan Algebras". To cite in publications please use Hankin (2023) <arXiv:2303.06062v1>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between jordan versions 1.0-1 dated 2021-04-08 and 1.0-5 dated 2024-03-28

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Package cwbtools updated to version 0.4.1 with previous version 0.4.0 dated 2024-02-26

Title: Tools to Create, Modify and Manage 'CWB' Corpora
Description: The 'Corpus Workbench' ('CWB', <https://cwb.sourceforge.io/>) offers a classic and mature approach for working with large, linguistically and structurally annotated corpora. The 'CWB' is memory efficient and its design makes running queries fast, see Evert (2011) <https://eprints.lancs.ac.uk/id/eprint/62721>. The 'cwbtools' package offers pure 'R' tools to create indexed corpus files as well as high-level wrappers for the original 'C' implementation of 'CWB' as exposed by the 'RcppCWB' package (<https://CRAN.R-project.org/package=RcppCWB>). Additional functionality to add and modify annotations of corpora from within 'R' makes working with 'CWB' indexed corpora much more flexible and convenient. The 'cwbtools' package in combination with the 'R' packages 'RcppCWB' (<https://CRAN.R-project.org/package=RcppCWB>) and 'polmineR' (<https://CRAN.R-project.org/package=polmineR>) offers a lightweight infrastructure to support the combination of quantitative and qu [...truncated...]
Author: Andreas Blaette [aut, cre], Christoph Leonhardt [aut]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

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Package bslib updated to version 0.7.0 with previous version 0.6.2 dated 2024-03-22

Title: Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'
Description: Simplifies custom 'CSS' styling of both 'shiny' and 'rmarkdown' via 'Bootstrap' 'Sass'. Supports 'Bootstrap' 3, 4 and 5 as well as their various 'Bootswatch' themes. An interactive widget is also provided for previewing themes in real time.
Author: Carson Sievert [aut, cre] , Joe Cheng [aut], Garrick Aden-Buie [aut] , Posit Software, PBC [cph, fnd], Bootstrap contributors [ctb] , Twitter, Inc [cph] , Javi Aguilar [ctb, cph] , Thomas Park [ctb, cph] , PayPal [ctb, cph]
Maintainer: Carson Sievert <carson@posit.co>

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 bslib-0.7.0/bslib/NAMESPACE                                                                      |    7 
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 bslib-0.7.0/bslib/R/navs-legacy.R                                                                |    3 
 bslib-0.7.0/bslib/R/onLoad.R                                                                     |   25 
 bslib-0.7.0/bslib/R/page.R                                                                       |   33 
 bslib-0.7.0/bslib/R/popover.R                                                                    |    5 
 bslib-0.7.0/bslib/R/sidebar.R                                                                    |  254 +
 bslib-0.7.0/bslib/R/sysdata.rda                                                                  |binary
 bslib-0.7.0/bslib/R/value-box.R                                                                  |   13 
 bslib-0.7.0/bslib/README.md                                                                      |    6 
 bslib-0.7.0/bslib/inst/bslib-scss/spacer.scss                                                    |   14 
 bslib-0.7.0/bslib/inst/builtin/bs5/shiny/_rules.scss                                             |   31 
 bslib-0.7.0/bslib/inst/builtin/bs5/shiny/_variables.scss                                         |   14 
 bslib-0.7.0/bslib/inst/builtin/bs5/shiny/font.css                                                | 1384 +++++++++-
 bslib-0.7.0/bslib/inst/builtin/bs5/shiny/tables/_rules.scss                                      |    6 
 bslib-0.7.0/bslib/inst/components/dist/components.css                                            |    2 
 bslib-0.7.0/bslib/inst/components/dist/components.js                                             |  377 ++
 bslib-0.7.0/bslib/inst/components/dist/components.js.map                                         |    8 
 bslib-0.7.0/bslib/inst/components/dist/components.min.js                                         |    6 
 bslib-0.7.0/bslib/inst/components/dist/components.min.js.map                                     |    8 
 bslib-0.7.0/bslib/inst/components/dist/web-components.js                                         |  386 ++
 bslib-0.7.0/bslib/inst/components/dist/web-components.js.map                                     |    8 
 bslib-0.7.0/bslib/inst/components/dist/web-components.min.js                                     |   30 
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 bslib-0.7.0/bslib/inst/components/scss/card.scss                                                 |   34 
 bslib-0.7.0/bslib/inst/components/scss/grid.scss                                                 |   23 
 bslib-0.7.0/bslib/inst/components/scss/page_sidebar.scss                                         |   21 
 bslib-0.7.0/bslib/inst/components/scss/sidebar.scss                                              |   85 
 bslib-0.7.0/bslib/inst/components/scss/value_box.scss                                            |    2 
 bslib-0.7.0/bslib/inst/css-precompiled/3/bootstrap.min.css                                       |    2 
 bslib-0.7.0/bslib/inst/css-precompiled/4/bootstrap.min.css                                       |    2 
 bslib-0.7.0/bslib/inst/css-precompiled/5/bootstrap.min.css                                       |    2 
 bslib-0.7.0/bslib/inst/examples/build-a-box/deploy.R                                             |    3 
 bslib-0.7.0/bslib/inst/examples/flights/app.R                                                    |    1 
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Package tidywikidatar updated to version 0.5.8 with previous version 0.5.7 dated 2023-03-10

Title: Explore 'Wikidata' Through Tidy Data Frames
Description: Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.
Author: Giorgio Comai [aut, cre, cph] , EDJNet [fnd]
Maintainer: Giorgio Comai <giorgio.comai@cci.tn.it>

Diff between tidywikidatar versions 0.5.7 dated 2023-03-10 and 0.5.8 dated 2024-03-28

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Package popbio updated to version 2.8 with previous version 2.7 dated 2020-02-01

Title: Construction and Analysis of Matrix Population Models
Description: Construct and analyze projection matrix models from a demography study of marked individuals classified by age or stage. The package covers methods described in Matrix Population Models by Caswell (2001) and Quantitative Conservation Biology by Morris and Doak (2002).
Author: Chris Stubben, Brook Milligan, Patrick Nantel
Maintainer: Chris Stubben <chris.stubben@hci.utah.edu>

Diff between popbio versions 2.7 dated 2020-02-01 and 2.8 dated 2024-03-28

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Permanent link

Package viewpoly updated to version 0.4.1 with previous version 0.3.2 dated 2022-11-01

Title: A Shiny App to Visualize Genetic Maps and QTL Analysis in Polyploid Species
Description: Provides a graphical user interface to integrate, visualize and explore results from linkage and quantitative trait loci analysis, together with genomic information for autopolyploid species. The app is meant for interactive use and allows users to optionally upload different sources of information, including gene annotation and alignment files, enabling the exploitation and search for candidate genes in a genome browser. In its current version, 'VIEWpoly' supports inputs from 'MAPpoly', 'polymapR', 'diaQTL', 'QTLpoly', 'polyqtlR', 'GWASpoly', and 'HIDECAN' packages.
Author: Cristiane Taniguti [aut, cre], Gabriel de Siqueira Gesteira [aut], Jeekin Lau [aut], Olivia Angelin-Bonnet [aut], Susan Thomson [ctb], Guilherme da Silva Pereira [ctb], David Byrne [ctb], Zhao-Bang Zeng [ctb], Oscar Riera-Lizarazu [ctb], Marcelo Moll [...truncated...]
Maintainer: Cristiane Taniguti <chtaniguti@tamu.edu>

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Permanent link

Package exiftoolr updated to version 0.2.4 with previous version 0.2.3 dated 2023-10-17

Title: ExifTool Functionality from R
Description: Reads, writes, and edits EXIF and other file metadata using ExifTool <https://exiftool.org/>, returning read results as a data frame. ExifTool supports many different metadata formats including EXIF, GPS, IPTC, XMP, JFIF, GeoTIFF, ICC Profile, Photoshop IRB, FlashPix, AFCP and ID3, Lyrics3, as well as the maker notes of many digital cameras by Canon, Casio, DJI, FLIR, FujiFilm, GE, GoPro, HP, JVC/Victor, Kodak, Leaf, Minolta/Konica-Minolta, Motorola, Nikon, Nintendo, Olympus/Epson, Panasonic/Leica, Pentax/Asahi, Phase One, Reconyx, Ricoh, Samsung, Sanyo, Sigma/Foveon and Sony.
Author: Joshua O'Brien [aut, cre]
Maintainer: Joshua O'Brien <joshmobrien@gmail.com>

Diff between exiftoolr versions 0.2.3 dated 2023-10-17 and 0.2.4 dated 2024-03-28

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Permanent link

Package spOccupancy updated to version 0.7.3 with previous version 0.7.2 dated 2023-11-01

Title: Single-Species, Multi-Species, and Integrated Spatial Occupancy Models
Description: Fits single-species, multi-species, and integrated non-spatial and spatial occupancy models using Markov Chain Monte Carlo (MCMC). Models are fit using Polya-Gamma data augmentation detailed in Polson, Scott, and Windle (2013) <doi:10.1080/01621459.2013.829001>. Spatial models are fit using either Gaussian processes or Nearest Neighbor Gaussian Processes (NNGP) for large spatial datasets. Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, and Banerjee (2020) <arXiv:2001.09111>. Provides functionality for data integration of multiple single-species occupancy data sets using a joint likelihood framework. Details on data integration are given in Miller, Pacifici, Sanderlin, and Reich (2019) <doi:10.1111/2041-210X.13110>. Details on single-species and multi-species models are found in MacKenzie, Nichols, Lachman, Droege, Royle, and Langtimm (2002) <doi:10.1890/0012-9658(2002)083[2 [...truncated...]
Author: Jeffrey Doser [aut, cre], Andrew Finley [aut], Marc Kery [ctb]
Maintainer: Jeffrey Doser <doserjef@msu.edu>

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Package fastTS updated to version 1.0.1 with previous version 1.0.0 dated 2024-03-07

Title: Fast Time Series Modeling for Seasonal Series with Exogenous Variables
Description: An implementation of sparsity-ranked lasso and related methods for time series data. This methodology is especially useful for large time series with exogenous features and/or complex seasonality. Originally described in Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7> in the context of variable selection with interactions and/or polynomials, ranked sparsity is a philosophy with methods useful for variable selection in the presence of prior informational asymmetry. This situation exists for time series data with complex seasonality, as shown in Peterson and Cavanaugh (2024) <doi:10.1177/1471082X231225307>, which also describes this package in greater detail. The sparsity-ranked penalization methods for time series implemented in 'fastTS' can fit large/complex/high-frequency time series quickly, even with a high-dimensional exogenous feature set. The method is considerably faster than its competitors, while often producing more accurate predictions. Also includ [...truncated...]
Author: Ryan Andrew Peterson [aut, cre, cph]
Maintainer: Ryan Andrew Peterson <ryan.a.peterson@cuanschutz.edu>

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Package allelematch updated to version 2.5.4 with previous version 2.5.3 dated 2023-08-24

Title: Identifying Unique Multilocus Genotypes where Genotyping Error and Missing Data may be Present
Description: Tools for the identification of unique of multilocus genotypes when both genotyping error and missing data may be present; targeted for use with large datasets and databases containing multiple samples of each individual (a common situation in conservation genetics, particularly in non-invasive wildlife sampling applications). Functions explicitly incorporate missing data and can tolerate allele mismatches created by genotyping error. If you use this package, please cite the original publication in Molecular Ecology Resources (Galpern et al., 2012), the details for which can be generated using citation('allelematch'). For a complete vignette, please access via the Data S1 Supplementary documentation and tutorials (PDF) located at <doi:10.1111/j.1755-0998.2012.03137.x>.
Author: Paul Galpern <pgalpern@gmail.com>
Maintainer: Todd Cross <todd.cross@gmail.com>

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Package miniCRAN updated to version 0.3.0 with previous version 0.2.16 dated 2022-02-14

Title: Create a Mini Version of CRAN Containing Only Selected Packages
Description: Makes it possible to create an internally consistent repository consisting of selected packages from CRAN-like repositories. The user specifies a set of desired packages, and 'miniCRAN' recursively reads the dependency tree for these packages, then downloads only this subset. The user can then install packages from this repository directly, rather than from CRAN. This is useful in production settings, e.g. server behind a firewall, or remote locations with slow (or zero) Internet access.
Author: Andrie de Vries [aut, cre, cph], Alex Chubaty [ctb], Microsoft Corporation [cph]
Maintainer: Andrie de Vries <apdevries@gmail.com>

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Package Families updated to version 2.0.1 with previous version 2.0.0 dated 2024-03-21

Title: Kinship Ties in (Virtual) Multi-Generation Populations
Description: Tools to study lineages, grandparenthood, loss of close relatives, kinship networks and other topics in multi-generation populations.
Author: Frans Willekens [aut, cre]
Maintainer: Frans Willekens <willekens@nidi.nl>

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Package traj updated to version 2.1.0 with previous version 2.0.1 dated 2023-12-07

Title: Clustering of Functional Data Based on Measures of Change
Description: Implements a three-step procedure in the spirit of Leffondree et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) computing a number of "measures of change"" capturing various features of the trajectories; (2) using a Principal Component Analysis based dimension reduction algorithm to select a subset of measures and (3) using the k-means clustering algorithm to identify clusters of trajectories.
Author: Marie-Pierre Sylvestre [aut], Laurence Boulanger [aut, cre], Gillis Delmas Tchouangue Dinkou [ctb], Dan Vatnik [ctb]
Maintainer: Laurence Boulanger <laurence.boulanger@umontreal.ca>

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Package PatientProfiles updated to version 0.7.0 with previous version 0.6.2 dated 2024-03-05

Title: Identify Characteristics of Patients in the OMOP Common Data Model
Description: Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [ctb] , Xintong Li [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package mastif updated to version 2.3 with previous version 2.2 dated 2024-02-16

Title: Mast Inference and Forecasting
Description: Analyzes production and dispersal of seeds dispersed from trees and recovered in seed traps. Motivated by long-term inventory plots where seed collections are used to infer seed production by each individual plant.
Author: James S. Clark
Maintainer: James S. Clark <jimclark@duke.edu>

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Package fasstr updated to version 0.5.2 with previous version 0.5.1 dated 2023-03-22

Title: Analyze, Summarize, and Visualize Daily Streamflow Data
Description: The Flow Analysis Summary Statistics Tool for R, 'fasstr', provides various functions to tidy and screen daily stream discharge data, calculate and visualize various summary statistics and metrics, and compute annual trending and volume frequency analyses. It features useful function arguments for filtering of and handling dates, customizing data and metrics, and the ability to pull daily data directly from the Water Survey of Canada hydrometric database (<https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>).
Author: Jon Goetz [aut, cre] , Carl James Schwarz [aut], Sam Albers [ctb] , Robin Pike [ctb], Province of British Columbia [cph]
Maintainer: Jon Goetz <jon.goetz@gov.bc.ca>

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Package lpcde updated to version 0.1.3 with previous version 0.1.2 dated 2024-02-29

Title: Boundary Adaptive Local Polynomial Conditional Density Estimator
Description: Tools for estimation and inference of conditional densities, derivatives and functions. This is the companion software for Cattaneo, Chandak, Jansson and Ma (2024) <arXiv:2204.10359>.
Author: Rajita Chandak [aut, cre]
Maintainer: Rajita Chandak <rchandak@princeton.edu>

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Package lme4 updated to version 1.1-35.2 with previous version 1.1-35.1 dated 2023-11-05

Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut] , Martin Maechler [aut] , Ben Bolker [aut, cre] , Steven Walker [aut] , Rune Haubo Bojesen Christensen [ctb] , Henrik Singmann [ctb] , Bin Dai [ctb], Fabian Scheipl [ctb] , Gabor Grothendieck [ctb], Peter Green [ctb] , John Fox [c [...truncated...]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>

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Package GPLTR updated to version 1.5 with previous version 1.4 dated 2023-08-26

Title: Generalized Partially Linear Tree-Based Regression Model
Description: Combining a generalized linear model with an additional tree part on the same scale. A four-step procedure is proposed to fit the model and test the joint effect of the selected tree part while adjusting on confounding factors. We also proposed an ensemble procedure based on the bagging to improve prediction accuracy and computed several scores of importance for variable selection. See 'Cyprien Mbogning et al.'(2014)<doi:10.1186/2043-9113-4-6> and 'Cyprien Mbogning et al.'(2015)<doi:10.1159/000380850> for an overview of all the methods implemented in this package.
Author: Cyprien Mbogning <cyprien.mbogning@inserm.fr> and Wilson Toussile
Maintainer: Cyprien Mbogning <cyprien.mbogning@gmail.com>

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Package ExactCIone updated to version 1.0.5 with previous version 1.0.0 dated 2024-02-17

Title: Admissible Exact Intervals for One-Dimensional Discrete Distributions
Description: Construct the admissible exact intervals for the binomial proportion, the Poisson mean and the total number of subjects with a certain attribute or the total number of the subjects for the hypergeometric distribution. Both one-sided and two-sided intervals are of interest. This package can be used to calculate the intervals constructed methods developed by Wang (2014) <doi:10.5705/ss.2012.257> and Wang (2015) <doi:10.1111/biom.12360>.
Author: Chongxiu Yu [aut, cre], Weizhen Wang [aut], Zhongzhan Zhang [aut]
Maintainer: Chongxiu Yu <yuchongxiu@163.com>

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Package EgoCor updated to version 1.2.0 with previous version 1.1.0 dated 2023-08-08

Title: Simple Presentation of Estimated Exponential Semi-Variograms
Description: User friendly interface based on the R package 'gstat' to fit exponential parametric models to empirical semi-variograms in order to model the spatial correlation structure of health data. Geo-located health outcomes of survey participants may be used to model spatial effects on health in an ego-centred approach. The package contains a range of functions to help explore the spatial structure of the data as well as visualize the fit of exponential models for various metaparameter combinations with respect to the number of lag intervals and maximal distance. Furthermore, the outcome of interest can be adjusted for covariates by fitting a linear regression in a preliminary step before the semi-variogram fitting process.
Author: Julia Dyck [aut, cre], Odile Sauzet [aut], Jan-Ole Koslik [aut]
Maintainer: Julia Dyck <j.dyck@uni-bielefeld.de>

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Package toastui updated to version 0.3.3 with previous version 0.3.2 dated 2024-03-02

Title: Interactive Tables, Calendars and Charts for the Web
Description: Create interactive tables, calendars and charts with 'TOAST UI' <https://ui.toast.com/> libraries to integrate in 'shiny' applications or 'rmarkdown' 'HTML' documents.
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], NHN FE Development Lab [cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package tinytable updated to version 0.2.1 with previous version 0.2.0 dated 2024-03-20

Title: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats
Description: Create highly customized tables with this simple and dependency-free package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', or 'Typst' tables. The user interface is minimalist and easy to learn. The syntax concise. 'HTML' tables can be customized using the flexible 'Bootstrap' framework, and 'LaTeX' code with the 'tabularray' package.
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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New package SurviMChd with initial version 0.1.2
Title: High Dimensional Survival Data Analysis with Markov Chain Monte Carlo
Package: SurviMChd
Version: 0.1.2
Date: 2024-03-26
Depends: R (>= 3.5.0)
Imports: rjags,R2jags,dplyr
LazyData: Yes
LazyDataCompression: xz
ByteCompile: Yes
Description: High dimensional survival data analysis with Markov Chain Monte Carlo(MCMC). Currently supports frailty data analysis. Allows for Weibull and Exponential distribution. Includes function for interval censored data.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Packaged: 2024-03-27 21:47:34 UTC; Atanu Bhattacharjee
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb]
Repository: CRAN
Date/Publication: 2024-03-28 16:30:05 UTC

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New package sdrt with initial version 1.0.0
Package: sdrt
Title: Estimating the Sufficient Dimension Reduction Subspaces in Time Series
Version: 1.0.0
Maintainer: Tharindu P. De Alwis <talwis@wpi.edu>
Depends: R(>= 3.5.0), stats
Imports: psych, tseries, pracma
Description: The sdrt() function is designed for estimating subspaces for Sufficient Dimension Reduction (SDR) in time series, with a specific focus on the Time Series Central Mean subspace (TS-CMS). The package employs the Fourier transformation method proposed by Samadi and De Alwis (2023) <doi:10.48550/arXiv.2312.02110> and the Nadaraya-Watson kernel smoother method proposed by Park et al. (2009) <doi:10.1198/jcgs.2009.08076> for estimating the TS-CMS. The package provides tools for estimating distances between subspaces and includes functions for selecting model parameters using the Fourier transformation method.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-27 16:56:57 UTC; talwis
Author: Tharindu P. De Alwis [aut, cre] , S. Yaser Samadi [ctb, aut]
Repository: CRAN
Date/Publication: 2024-03-28 16:30:02 UTC

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Package SchoolDataIT updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-21

Title: Retrieve, Harmonise and Map Open Data Regarding the Italian School System
Description: Compiles and displays the available data sets regarding the Italian school system, with a focus on the infrastructural aspects. Input datasets are downloaded from the web, with the aim of updating everything to real time. The functions are divided in four main modules, namely 'Get', to scrape raw data from the web 'Util', various utilities needed to process raw data 'Group', to aggregate data at the municipality or province level 'Map', to visualize the output datasets.
Author: Leonardo Cefalo [aut, cre] , Alessio Pollice [ctb, ths] , Paolo Maranzano [ctb]
Maintainer: Leonardo Cefalo <leonardo.cefalo@uniba.it>

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Package retrodesign updated to version 0.2.2 with previous version 0.2.1 dated 2023-11-02

Title: Tools for Type S (Sign) and Type M (Magnitude) Errors
Description: Provides tools for working with Type S (Sign) and Type M (Magnitude) errors, as proposed in Gelman and Tuerlinckx (2000) <doi:10.1007/s001800000040> and Gelman & Carlin (2014) <doi:10.1177/1745691614551642>. In addition to simply calculating the probability of Type S/M error, the package includes functions for calculating these errors across a variety of effect sizes for comparison, and recommended sample size given "tolerances" for Type S/M errors. To improve the speed of these calculations, closed forms solutions for the probability of a Type S/M error from Lu, Qiu, and Deng (2018) <doi:10.1111/bmsp.12132> are implemented. As of 1.0.0, this includes support only for simple research designs. See the package vignette for a fuller exposition on how Type S/M errors arise in research, and how to analyze them using the type of design analysis proposed in the above papers.
Author: Andrew Timm [cre, aut], Andrew Gelman [ctb, cph], John Carlin [ctb, cph], Martijn Weterings [ctb]
Maintainer: Andrew Timm <timmandrew1@gmail.com>

Diff between retrodesign versions 0.2.1 dated 2023-11-02 and 0.2.2 dated 2024-03-28

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Package iNEXT.3D updated to version 1.0.4 with previous version 1.0.3 dated 2024-03-25

Title: Interpolation and Extrapolation for Three Dimensions of Biodiversity
Description: Biodiversity is a multifaceted concept covering different levels of organization from genes to ecosystems. 'iNEXT.3D' extends 'iNEXT' to include three dimensions (3D) of biodiversity, i.e., taxonomic diversity (TD), phylogenetic diversity (PD) and functional diversity (FD). This package provides functions to compute standardized 3D diversity estimates with a common sample size or sample coverage. A unified framework based on Hill numbers and their generalizations (Hill-Chao numbers) are used to quantify 3D. All 3D estimates are in the same units of species/lineage equivalents and can be meaningfully compared. The package features size- and coverage-based rarefaction and extrapolation sampling curves to facilitate rigorous comparison of 3D diversity across individual assemblages. Asymptotic 3D diversity estimates are also provided. See Chao et al. (2021) <doi:10.1111/2041-210X.13682> for more details.
Author: Anne Chao [aut, cre], KaiHsiang Hu [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>

Diff between iNEXT.3D versions 1.0.3 dated 2024-03-25 and 1.0.4 dated 2024-03-28

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New package ILSM with initial version 1.0.1
Package: ILSM
Title: Analyze Inter-Layer Structure of Multilayer Ecological Network
Version: 1.0.1
Description: In view of the analysis of the structural characteristics of the multilayer network has been complete, however, there is still a lack of a unified operation that can quickly obtain the corresponding characteristics of the multilayer network. To solve this insufficiency, 'ILSM' was designed for supporting calculating such metrics of multilayer network by functions of this R package.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, Matrix, igraph
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-28 03:33:55 UTC; Admin
Author: WeiCheng Sun [aut, cre], Chuan Yan [aut], Yangyang Zhao [aut]
Maintainer: WeiCheng Sun <sunwch2023@lzu.edu.cn>
Repository: CRAN
Date/Publication: 2024-03-28 16:30:07 UTC

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Package ieugwasr updated to version 0.2.2 with previous version 0.2.0 dated 2024-03-25

Title: Interface to the 'OpenGWAS' Database API
Description: Interface to the 'OpenGWAS' database API <https://gwas-api.mrcieu.ac.uk/>. Includes a wrapper to make generic calls to the API, plus convenience functions for specific queries.
Author: Gibran Hemani [aut, cre, cph] , Ben Elsworth [aut] , Tom Palmer [aut] , Rita Rasteiro [aut]
Maintainer: Gibran Hemani <g.hemani@bristol.ac.uk>

Diff between ieugwasr versions 0.2.0 dated 2024-03-25 and 0.2.2 dated 2024-03-28

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Package gh updated to version 1.4.1 with previous version 1.4.0 dated 2023-02-22

Title: 'GitHub' 'API'
Description: Minimal client to access the 'GitHub' 'API'.
Author: Gabor Csardi [cre, ctb], Jennifer Bryan [aut], Hadley Wickham [aut], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package fflr updated to version 2.2.4 with previous version 2.2.3 dated 2024-03-11

Title: Retrieve ESPN Fantasy Football Data
Description: Format the raw data from the ESPN fantasy football API <https://fantasy.espn.com/apis/v3/games/ffl/> as data frames. Retrieve data on public leagues, rosters, athletes, and matches.
Author: Kiernan Nicholls [aut, cre, cph]
Maintainer: Kiernan Nicholls <k5cents@gmail.com>

Diff between fflr versions 2.2.3 dated 2024-03-11 and 2.2.4 dated 2024-03-28

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Package crandep updated to version 0.3.7 with previous version 0.3.6 dated 2024-02-26

Title: Network Analysis of Dependencies of CRAN Packages
Description: The dependencies of CRAN packages can be analysed in a network fashion. For each package we can obtain the packages that it depends, imports, suggests, etc. By iterating this procedure over a number of packages, we can build, visualise, and analyse the dependency network, enabling us to have a bird's-eye view of the CRAN ecosystem. One aspect of interest is the number of reverse dependencies of the packages, or equivalently the in-degree distribution of the dependency network. This can be fitted by the power law and/or an extreme value mixture distribution <arXiv:2008.03073>, of which functions are provided.
Author: Clement Lee [aut, cre]
Maintainer: Clement Lee <clement.lee.tm@outlook.com>

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Package biganalytics updated to version 1.1.22 with previous version 1.1.21 dated 2020-06-09

Title: Utilities for 'big.matrix' Objects from Package 'bigmemory'
Description: Extend the 'bigmemory' package with various analytics. Functions 'bigkmeans' and 'binit' may also be used with native R objects. For 'tapply'-like functions, the bigtabulate package may also be helpful. For linear algebra support, see 'bigalgebra'. For mutex (locking) support for advanced shared-memory usage, see 'synchronicity'.
Author: John W. Emerson [aut], Michael J. Kane [cre, aut] , Saksham Chandra [ctb]
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

Diff between biganalytics versions 1.1.21 dated 2020-06-09 and 1.1.22 dated 2024-03-28

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Package tf updated to version 0.3.3 with previous version 0.3.2 dated 2024-03-18

Title: S3 Classes and Methods for Tidy Functional Data
Description: Defines S3 vector data types for vectors of functional data (grid-based, spline-based or functional principal components-based) with all arithmetic and summary methods, derivation, integration and smoothing, plotting, data import and export, and data wrangling, such as re-evaluating, subsetting, sub-assigning, zooming into sub-domains, or extracting functional features like minima/maxima and their locations. The implementation allows including such vectors in data frames for joint analysis of functional and scalar variables.
Author: Fabian Scheipl [aut, cre] , Jeff Goldsmith [aut], Julia Wrobel [ctb] , Maximilian Muecke [ctb] , Sebastian Fischer [ctb] , Trevor Hastie [ctb] , Rahul Mazumder [ctb] , Chen Meng [ctb]
Maintainer: Fabian Scheipl <fabian.scheipl@googlemail.com>

Diff between tf versions 0.3.2 dated 2024-03-18 and 0.3.3 dated 2024-03-28

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Package pensynth updated to version 0.5.1 with previous version 0.3.0 dated 2024-03-15

Title: Penalized Synthetic Control Estimation
Description: Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is based on the work by Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>. Penalized synthetic controls smoothly interpolate between one-to-one matching and the synthetic control method.
Author: Erik-Jan van Kesteren [cre, aut] , Isaac Slaughter [ctb]
Maintainer: Erik-Jan van Kesteren <e.vankesteren1@uu.nl>

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Package NGCHM updated to version 1.0.2 with previous version 1.0.1 dated 2024-01-16

Title: Next Generation Clustered Heat Maps
Description: Next-Generation Clustered Heat Maps (NG-CHMs) allow for dynamic exploration of heat map data in a web browser. 'NGCHM' allows users to create both stand-alone HTML files containing a Next-Generation Clustered Heat Map, and .ngchm files to view in the NG-CHM viewer. See Ryan MC, Stucky M, et al (2020) <doi:10.12688/f1000research.20590.2> for more details.
Author: Bradley M Broom [aut] , Mary A Rohrdanz [ctb, cre], Chris Wakefield [ctb], James Melott [ctb], MD Anderson Cancer Center [cph]
Maintainer: Mary A Rohrdanz <marohrdanz@mdanderson.org>

Diff between NGCHM versions 1.0.1 dated 2024-01-16 and 1.0.2 dated 2024-03-28

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New package multivarious with initial version 0.2.0
Package: multivarious
Title: Extensible Data Structures for Multivariate Analysis
Version: 0.2.0
Description: Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rlang, chk, glmnet, corpcor, Matrix, purrr, rsvd, svd, pls, irlba, RSpectra, proxy, matrixStats, fitdistrplus
Suggests: covr, randomForest, testthat, magrittr, knitr, rmarkdown, MASS
URL: https://bbuchsbaum.github.io/multivarious/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-27 13:14:27 UTC; bbuchsbaum
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-28 16:00:02 UTC

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Package metafor updated to version 4.6-0 with previous version 4.4-0 dated 2023-09-27

Title: Meta-Analysis Package for R
Description: A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit equal-, fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, bubble, and GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta [...truncated...]
Author: Wolfgang Viechtbauer [aut, cre]
Maintainer: Wolfgang Viechtbauer <wvb@metafor-project.org>

Diff between metafor versions 4.4-0 dated 2023-09-27 and 4.6-0 dated 2024-03-28

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 R/cumul.rma.mh.r                                        |   16 
 R/cumul.rma.peto.r                                      |   16 
 R/cumul.rma.uni.r                                       |   14 
 R/deviance.rma.r                                        |    2 
 R/df.residual.rma.r                                     |    2 
 R/dfbetas.rma.mv.r                                      |    9 
 R/dfround.r                                             |    2 
 R/emmprep.r                                             |    4 
 R/escalc.r                                              |  389 +++++++++-----
 R/fitstats.rma.r                                        |    2 
 R/fitted.rma.r                                          |    2 
 R/forest.cumul.rma.r                                    |   71 +-
 R/forest.default.r                                      |   81 +-
 R/forest.rma.r                                          |  149 ++---
 R/formatters.r                                          |   32 -
 R/formula.rma.r                                         |    2 
 R/fsn.r                                                 |   42 -
 R/funnel.default.r                                      |  107 +--
 R/funnel.rma.r                                          |  107 +--
 R/gosh.rma.r                                            |    6 
 R/hatvalues.rma.mv.r                                    |    6 
 R/hatvalues.rma.uni.r                                   |    6 
 R/hc.rma.uni.r                                          |    4 
 R/influence.rma.uni.r                                   |   19 
 R/labbe.rma.r                                           |   16 
 R/leave1out.rma.mh.r                                    |    4 
 R/leave1out.rma.peto.r                                  |    4 
 R/leave1out.rma.uni.r                                   |    2 
 R/llplot.r                                              |   16 
 R/logLik.rma.r                                          |    2 
 R/matreg.r                                              |    2 
 R/methods.confint.rma.r                                 |   13 
 R/methods.list.rma.r                                    |    2 
 R/mfopt.r                                               |   10 
 R/misc.func.hidden.escalc.r                             |   15 
 R/misc.func.hidden.funnel.r                             |    4 
 R/misc.func.hidden.glmm.r                               |   12 
 R/misc.func.hidden.mv.r                                 |   68 +-
 R/misc.func.hidden.profile.r                            |   35 -
 R/misc.func.hidden.r                                    |  242 ++++++--
 R/misc.func.hidden.selmodel.r                           |  105 +++
 R/misc.func.hidden.uni.r                                |   24 
 R/model.matrix.rma.r                                    |    2 
 R/nobs.rma.r                                            |    2 
 R/permutest.rma.ls.r                                    |    2 
 R/permutest.rma.uni.r                                   |    2 
 R/plot.cumul.rma.r                                      |   26 
 R/plot.gosh.rma.r                                       |   29 -
 R/plot.infl.rma.uni.r                                   |    5 
 R/plot.permutest.rma.uni.r                              |   24 
 R/plot.profile.rma.r                                    |   45 +
 R/plot.rma.glmm.r                                       |    2 
 R/plot.rma.mh.r                                         |    2 
 R/plot.rma.peto.r                                       |    2 
 R/plot.rma.uni.r                                        |    2 
 R/plot.rma.uni.selmodel.r                               |    8 
 R/plot.vif.rma.r                                        |   30 -
 R/predict.rma.ls.r                                      |   84 +--
 R/predict.rma.r                                         |   27 
 R/print.anova.rma.r                                     |    4 
 R/print.confint.rma.r                                   |    2 
 R/print.escalc.r                                        |    2 
 R/print.fsn.r                                           |    2 
 R/print.gosh.rma.r                                      |    2 
 R/print.hc.rma.uni.r                                    |    2 
 R/print.infl.rma.uni.r                                  |    2 
 R/print.list.anova.rma.r                                |    2 
 R/print.list.confint.rma.r                              |    2 
 R/print.list.rma.r                                      |    4 
 R/print.matreg.r                                        |    2 
 R/print.permutest.rma.uni.r                             |    2 
 R/print.profile.rma.r                                   |    2 
 R/print.ranktest.r                                      |    2 
 R/print.regtest.r                                       |    2 
 R/print.rma.glmm.r                                      |    2 
 R/print.rma.mh.r                                        |    2 
 R/print.rma.mv.r                                        |   16 
 R/print.rma.peto.r                                      |    2 
 R/print.rma.uni.r                                       |    8 
 R/print.summary.matreg.r                                |    2 
 R/print.summary.rma.r                                   |    2 
 R/print.tes.r                                           |    2 
 R/print.vif.rma.r                                       |    2 
 R/profile.rma.ls.r                                      |   95 ++-
 R/profile.rma.mv.r                                      |  147 +++--
 R/profile.rma.uni.r                                     |  181 +++++-
 R/profile.rma.uni.selmodel.r                            |  103 ++-
 R/qqnorm.rma.glmm.r                                     |    2 
 R/qqnorm.rma.mh.r                                       |    2 
 R/qqnorm.rma.mv.r                                       |    2 
 R/qqnorm.rma.peto.r                                     |    2 
 R/qqnorm.rma.uni.r                                      |   12 
 R/radial.rma.r                                          |   12 
 R/ranef.rma.mv.r                                        |    4 
 R/ranef.rma.uni.r                                       |    9 
 R/ranktest.r                                            |    8 
 R/rcalc.r                                               |   15 
 R/regplot.rma.r                                         |   98 +--
 R/regtest.r                                             |   22 
 R/replmiss.r                                            |    2 
 R/reporter.rma.uni.r                                    |    2 
 R/residuals.rma.r                                       |    2 
 R/rma.glmm.r                                            |   26 
 R/rma.mh.r                                              |   48 -
 R/rma.mv.r                                              |  178 +++---
 R/rma.peto.r                                            |   34 -
 R/rma.uni.r                                             |  354 ++++++-------
 R/robust.rma.mv.r                                       |   33 -
 R/robust.rma.uni.r                                      |   33 -
 R/rstandard.rma.mh.r                                    |    4 
 R/rstandard.rma.mv.r                                    |   11 
 R/rstandard.rma.peto.r                                  |    4 
 R/rstandard.rma.uni.r                                   |    4 
 R/rstudent.rma.mh.r                                     |    4 
 R/rstudent.rma.mv.r                                     |    9 
 R/rstudent.rma.peto.r                                   |    4 
 R/selmodel.rma.uni.r                                    |  379 ++++++++++---
 R/simulate.rma.r                                        |    5 
 R/summary.escalc.r                                      |    9 
 R/summary.matreg.r                                      |    2 
 R/summary.rma.r                                         |    2 
 R/tes.r                                                 |   37 -
 R/to.long.r                                             |   46 -
 R/to.table.r                                            |   46 -
 R/to.wide.r                                             |    2 
 R/trimfill.rma.uni.r                                    |   14 
 R/update.rma.r                                          |    2 
 R/vcalc.r                                               |   43 +
 R/vcov.matreg.r                                         |    2 
 R/vcov.rma.r                                            |    2 
 R/vec2mat.r                                             |    2 
 R/vif.rma.r                                             |   32 -
 R/weights.rma.glmm.r                                    |    2 
 R/weights.rma.mh.r                                      |    2 
 R/weights.rma.mv.r                                      |    2 
 R/weights.rma.peto.r                                    |    2 
 R/weights.rma.uni.r                                     |    2 
 R/zzz.r                                                 |    2 
 README.md                                               |    2 
 build/metafor.pdf                                       |binary
 build/stage23.rdb                                       |binary
 build/vignette.rds                                      |binary
 man/addpoly.default.Rd                                  |    2 
 man/addpoly.predict.rma.Rd                              |    2 
 man/addpoly.rma.Rd                                      |    2 
 man/blup.Rd                                             |    2 
 man/coef.permutest.rma.uni.Rd                           |    2 
 man/coef.rma.Rd                                         |    2 
 man/confint.rma.Rd                                      |    6 
 man/conv.delta.Rd                                       |    4 
 man/conv.fivenum.Rd                                     |    6 
 man/conv.wald.Rd                                        |    4 
 man/cumul.Rd                                            |    2 
 man/emmprep.Rd                                          |    2 
 man/escalc.Rd                                           |   39 -
 man/forest.cumul.rma.Rd                                 |    2 
 man/forest.default.Rd                                   |    8 
 man/forest.rma.Rd                                       |   14 
 man/fsn.Rd                                              |    2 
 man/gosh.Rd                                             |    4 
 man/leave1out.Rd                                        |    2 
 man/metafor-package.Rd                                  |    2 
 man/methods.confint.rma.Rd                              |    4 
 man/mfopt.Rd                                            |    2 
 man/misc-models.Rd                                      |   12 
 man/misc-options.Rd                                     |   17 
 man/misc-recs.Rd                                        |    4 
 man/plot.gosh.rma.Rd                                    |    4 
 man/plot.infl.rma.uni.Rd                                |    2 
 man/predict.rma.Rd                                      |   13 
 man/print.escalc.Rd                                     |    2 
 man/profile.rma.Rd                                      |   75 +-
 man/ranef.Rd                                            |    2 
 man/rma.glmm.Rd                                         |    2 
 man/rma.mv.Rd                                           |    2 
 man/rma.uni.Rd                                          |    8 
 man/selmodel.Rd                                         |   28 -
 man/to.table.Rd                                         |    4 
 man/transf.Rd                                           |    6 
 man/weights.rma.Rd                                      |    2 
 tests/testthat/test_analysis_example_viechtbauer2007b.r |    4 
 tests/testthat/test_misc_escalc.r                       |    4 
 tests/testthat/test_misc_rma_uni.r                      |    4 
 tests/testthat/test_misc_selmodel.r                     |   14 
 tests/testthat/test_plots_baujat_plot.r                 |    2 
 tests/testthat/test_plots_labbe_plot.r                  |    2 
 218 files changed, 2919 insertions(+), 2306 deletions(-)

More information about metafor at CRAN
Permanent link

Package ggblanket updated to version 7.0.0 with previous version 6.0.0 dated 2024-02-23

Title: Simplify 'ggplot2' Visualisation
Description: Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between ggblanket versions 6.0.0 dated 2024-02-23 and 7.0.0 dated 2024-03-28

 ggblanket-6.0.0/ggblanket/R/col_pals.R                                                      |only
 ggblanket-6.0.0/ggblanket/R/mode_set.R                                                      |only
 ggblanket-6.0.0/ggblanket/man/greys.Rd                                                      |only
 ggblanket-6.0.0/ggblanket/man/mode_set.Rd                                                   |only
 ggblanket-6.0.0/ggblanket/man/plum.Rd                                                       |only
 ggblanket-7.0.0/ggblanket/DESCRIPTION                                                       |   15 
 ggblanket-7.0.0/ggblanket/MD5                                                               |  436 +--
 ggblanket-7.0.0/ggblanket/NAMESPACE                                                         |    7 
 ggblanket-7.0.0/ggblanket/NEWS.md                                                           |   16 
 ggblanket-7.0.0/ggblanket/R/aes_contrast.R                                                  |   38 
 ggblanket-7.0.0/ggblanket/R/base_mode.R                                                     |  110 
 ggblanket-7.0.0/ggblanket/R/colours.R                                                       |only
 ggblanket-7.0.0/ggblanket/R/dark_mode.R                                                     |   82 
 ggblanket-7.0.0/ggblanket/R/gg_area.R                                                       |   33 
 ggblanket-7.0.0/ggblanket/R/gg_bar.R                                                        |   33 
 ggblanket-7.0.0/ggblanket/R/gg_bin_2d.R                                                     |   33 
 ggblanket-7.0.0/ggblanket/R/gg_blanket.R                                                    |  896 +-----
 ggblanket-7.0.0/ggblanket/R/gg_boxplot.R                                                    |   33 
 ggblanket-7.0.0/ggblanket/R/gg_col.R                                                        |   33 
 ggblanket-7.0.0/ggblanket/R/gg_contour.R                                                    |   33 
 ggblanket-7.0.0/ggblanket/R/gg_contour_filled.R                                             |   33 
 ggblanket-7.0.0/ggblanket/R/gg_crossbar.R                                                   |   33 
 ggblanket-7.0.0/ggblanket/R/gg_density.R                                                    |   33 
 ggblanket-7.0.0/ggblanket/R/gg_density_2d.R                                                 |   34 
 ggblanket-7.0.0/ggblanket/R/gg_density_2d_filled.R                                          |   34 
 ggblanket-7.0.0/ggblanket/R/gg_errorbar.R                                                   |   34 
 ggblanket-7.0.0/ggblanket/R/gg_freqpoly.R                                                   |   33 
 ggblanket-7.0.0/ggblanket/R/gg_function.R                                                   |   33 
 ggblanket-7.0.0/ggblanket/R/gg_hex.R                                                        |   34 
 ggblanket-7.0.0/ggblanket/R/gg_histogram.R                                                  |   33 
 ggblanket-7.0.0/ggblanket/R/gg_jitter.R                                                     |   33 
 ggblanket-7.0.0/ggblanket/R/gg_label.R                                                      |   34 
 ggblanket-7.0.0/ggblanket/R/gg_line.R                                                       |   33 
 ggblanket-7.0.0/ggblanket/R/gg_linerange.R                                                  |   33 
 ggblanket-7.0.0/ggblanket/R/gg_path.R                                                       |   33 
 ggblanket-7.0.0/ggblanket/R/gg_point.R                                                      |   35 
 ggblanket-7.0.0/ggblanket/R/gg_pointrange.R                                                 |   34 
 ggblanket-7.0.0/ggblanket/R/gg_polygon.R                                                    |   33 
 ggblanket-7.0.0/ggblanket/R/gg_qq.R                                                         |   33 
 ggblanket-7.0.0/ggblanket/R/gg_quantile.R                                                   |   32 
 ggblanket-7.0.0/ggblanket/R/gg_raster.R                                                     |   33 
 ggblanket-7.0.0/ggblanket/R/gg_rect.R                                                       |   33 
 ggblanket-7.0.0/ggblanket/R/gg_ribbon.R                                                     |   39 
 ggblanket-7.0.0/ggblanket/R/gg_rug.R                                                        |   33 
 ggblanket-7.0.0/ggblanket/R/gg_segment.R                                                    |   34 
 ggblanket-7.0.0/ggblanket/R/gg_sf.R                                                         |   33 
 ggblanket-7.0.0/ggblanket/R/gg_smooth.R                                                     |   33 
 ggblanket-7.0.0/ggblanket/R/gg_step.R                                                       |   33 
 ggblanket-7.0.0/ggblanket/R/gg_text.R                                                       |   34 
 ggblanket-7.0.0/ggblanket/R/gg_tile.R                                                       |   33 
 ggblanket-7.0.0/ggblanket/R/gg_violin.R                                                     |   33 
 ggblanket-7.0.0/ggblanket/R/grey_mode.R                                                     |   88 
 ggblanket-7.0.0/ggblanket/R/light_mode.R                                                    |   88 
 ggblanket-7.0.0/ggblanket/R/set_blanket.R                                                   |only
 ggblanket-7.0.0/ggblanket/R/utils.R                                                         |   31 
 ggblanket-7.0.0/ggblanket/R/weave.R                                                         |only
 ggblanket-7.0.0/ggblanket/README.md                                                         |    7 
 ggblanket-7.0.0/ggblanket/build/vignette.rds                                                |binary
 ggblanket-7.0.0/ggblanket/inst/doc/ggblanket.R                                              |  299 +-
 ggblanket-7.0.0/ggblanket/inst/doc/ggblanket.Rmd                                            |  469 +--
 ggblanket-7.0.0/ggblanket/inst/doc/ggblanket.html                                           |  658 ++--
 ggblanket-7.0.0/ggblanket/man/aes_contrast.Rd                                               |   17 
 ggblanket-7.0.0/ggblanket/man/base_mode.Rd                                                  |    6 
 ggblanket-7.0.0/ggblanket/man/base_mode_b.Rd                                                |   12 
 ggblanket-7.0.0/ggblanket/man/base_mode_n.Rd                                                |   12 
 ggblanket-7.0.0/ggblanket/man/base_mode_r.Rd                                                |   12 
 ggblanket-7.0.0/ggblanket/man/base_mode_t.Rd                                                |   12 
 ggblanket-7.0.0/ggblanket/man/blue.Rd                                                       |    2 
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 ggblanket-7.0.0/ggblanket/man/dark_mode_n.Rd                                                |    8 
 ggblanket-7.0.0/ggblanket/man/dark_mode_r.Rd                                                |    8 
 ggblanket-7.0.0/ggblanket/man/dark_mode_t.Rd                                                |    8 
 ggblanket-7.0.0/ggblanket/man/darkness.Rd                                                   |    2 
 ggblanket-7.0.0/ggblanket/man/figures/README-unnamed-chunk-2-1.png                          |binary
 ggblanket-7.0.0/ggblanket/man/gg_area.Rd                                                    |  118 
 ggblanket-7.0.0/ggblanket/man/gg_bar.Rd                                                     |  118 
 ggblanket-7.0.0/ggblanket/man/gg_bin_2d.Rd                                                  |  118 
 ggblanket-7.0.0/ggblanket/man/gg_blanket.Rd                                                 |  118 
 ggblanket-7.0.0/ggblanket/man/gg_boxplot.Rd                                                 |  118 
 ggblanket-7.0.0/ggblanket/man/gg_col.Rd                                                     |  118 
 ggblanket-7.0.0/ggblanket/man/gg_contour.Rd                                                 |  118 
 ggblanket-7.0.0/ggblanket/man/gg_contour_filled.Rd                                          |  118 
 ggblanket-7.0.0/ggblanket/man/gg_crossbar.Rd                                                |  118 
 ggblanket-7.0.0/ggblanket/man/gg_density.Rd                                                 |  118 
 ggblanket-7.0.0/ggblanket/man/gg_density_2d.Rd                                              |  119 
 ggblanket-7.0.0/ggblanket/man/gg_density_2d_filled.Rd                                       |  119 
 ggblanket-7.0.0/ggblanket/man/gg_errorbar.Rd                                                |  119 
 ggblanket-7.0.0/ggblanket/man/gg_freqpoly.Rd                                                |  118 
 ggblanket-7.0.0/ggblanket/man/gg_function.Rd                                                |  118 
 ggblanket-7.0.0/ggblanket/man/gg_hex.Rd                                                     |  119 
 ggblanket-7.0.0/ggblanket/man/gg_histogram.Rd                                               |  118 
 ggblanket-7.0.0/ggblanket/man/gg_jitter.Rd                                                  |  118 
 ggblanket-7.0.0/ggblanket/man/gg_label.Rd                                                   |  119 
 ggblanket-7.0.0/ggblanket/man/gg_line.Rd                                                    |  118 
 ggblanket-7.0.0/ggblanket/man/gg_linerange.Rd                                               |  118 
 ggblanket-7.0.0/ggblanket/man/gg_path.Rd                                                    |  118 
 ggblanket-7.0.0/ggblanket/man/gg_point.Rd                                                   |  120 
 ggblanket-7.0.0/ggblanket/man/gg_pointrange.Rd                                              |  119 
 ggblanket-7.0.0/ggblanket/man/gg_polygon.Rd                                                 |  118 
 ggblanket-7.0.0/ggblanket/man/gg_qq.Rd                                                      |  118 
 ggblanket-7.0.0/ggblanket/man/gg_quantile.Rd                                                |  117 
 ggblanket-7.0.0/ggblanket/man/gg_raster.Rd                                                  |  118 
 ggblanket-7.0.0/ggblanket/man/gg_rect.Rd                                                    |  118 
 ggblanket-7.0.0/ggblanket/man/gg_ribbon.Rd                                                  |  124 
 ggblanket-7.0.0/ggblanket/man/gg_rug.Rd                                                     |  118 
 ggblanket-7.0.0/ggblanket/man/gg_segment.Rd                                                 |  119 
 ggblanket-7.0.0/ggblanket/man/gg_sf.Rd                                                      |  118 
 ggblanket-7.0.0/ggblanket/man/gg_smooth.Rd                                                  |  118 
 ggblanket-7.0.0/ggblanket/man/gg_step.Rd                                                    |  118 
 ggblanket-7.0.0/ggblanket/man/gg_text.Rd                                                    |  119 
 ggblanket-7.0.0/ggblanket/man/gg_tile.Rd                                                    |  118 
 ggblanket-7.0.0/ggblanket/man/gg_violin.Rd                                                  |  118 
 ggblanket-7.0.0/ggblanket/man/grey_mode_b.Rd                                                |    8 
 ggblanket-7.0.0/ggblanket/man/grey_mode_n.Rd                                                |    8 
 ggblanket-7.0.0/ggblanket/man/grey_mode_r.Rd                                                |    8 
 ggblanket-7.0.0/ggblanket/man/grey_mode_t.Rd                                                |    8 
 ggblanket-7.0.0/ggblanket/man/greyness.Rd                                                   |    2 
 ggblanket-7.0.0/ggblanket/man/light_mode_b.Rd                                               |    8 
 ggblanket-7.0.0/ggblanket/man/light_mode_n.Rd                                               |    8 
 ggblanket-7.0.0/ggblanket/man/light_mode_r.Rd                                               |    8 
 ggblanket-7.0.0/ggblanket/man/light_mode_t.Rd                                               |    8 
 ggblanket-7.0.0/ggblanket/man/lightness.Rd                                                  |    2 
 ggblanket-7.0.0/ggblanket/man/navy.Rd                                                       |    4 
 ggblanket-7.0.0/ggblanket/man/orange.Rd                                                     |    4 
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 ggblanket-7.0.0/ggblanket/man/teal.Rd                                                       |    4 
 ggblanket-7.0.0/ggblanket/man/weave_annotate_defaults.Rd                                    |only
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 ggblanket-7.0.0/ggblanket/tests/testthat/_snaps/article-demo-light/gg-area.svg              |    4 
 ggblanket-7.0.0/ggblanket/tests/testthat/_snaps/article-demo-light/gg-bar.svg               |   22 
 ggblanket-7.0.0/ggblanket/tests/testthat/_snaps/article-demo-light/gg-bin-2d.svg            |  516 +--
 ggblanket-7.0.0/ggblanket/tests/testthat/_snaps/article-demo-light/gg-blanket.svg           |   18 
 ggblanket-7.0.0/ggblanket/tests/testthat/_snaps/article-demo-light/gg-boxplot.svg           |   80 
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 ggblanket-7.0.0/ggblanket/tests/testthat/_snaps/article-demo-light/gg-crossbar.svg          |   24 
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 ggblanket-7.0.0/ggblanket/tests/testthat/_snaps/article-demo-light/gg-density-2d.svg        |   24 
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New package gamstransfer with initial version 3.0.1
Package: gamstransfer
Title: A Data Interface Between 'GAMS' and R
Version: 3.0.1
Date: 2024-03-26
Maintainer: Atharv Bhosekar <abhosekar@gams.com>
Description: Read, analyze, modify, and write 'GAMS' (General Algebraic Modeling System) data. The main focus of 'gamstransfer' is the highly efficient transfer of data with 'GAMS' <https://www.gams.com/>, while keeping these operations as simple as possible for the user. The transfer of data usually takes place via an intermediate GDX (GAMS Data Exchange) file. Additionally, 'gamstransfer' provides utility functions to get an overview of 'GAMS' data and to check its validity.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.6), R6 (>= 2.5.1), R.utils (>= 2.11.0), collections(>= 0.3.6)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
URL: https://github.com/GAMS-dev/transfer-r/tree/main/gamstransfer
BugReports: https://github.com/GAMS-dev/transfer-r/issues
SystemRequirements: C++17
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-03-27 11:24:25 UTC; abhosekar
Author: Atharv Bhosekar [aut, cre], GAMS Development Corp. [cph, fnd], GAMS Software GmbH [cph, fnd]
Repository: CRAN
Date/Publication: 2024-03-28 16:00:10 UTC

More information about gamstransfer at CRAN
Permanent link

Package future.apply updated to version 1.11.2 with previous version 1.11.1 dated 2023-12-21

Title: Apply Function to Elements in Parallel using Futures
Description: Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.
Author: Henrik Bengtsson [aut, cre, cph] , R Core Team [cph, ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package eulerr updated to version 7.0.2 with previous version 7.0.1 dated 2024-02-16

Title: Area-Proportional Euler and Venn Diagrams with Ellipses
Description: Generate area-proportional Euler diagrams using numerical optimization. An Euler diagram is a generalization of a Venn diagram, relaxing the criterion that all interactions need to be represented. Diagrams may be fit with ellipses and circles via a wide range of inputs and can be visualized in numerous ways.
Author: Johan Larsson [aut, cre] , A. Jonathan R. Godfrey [ctb], Peter Gustafsson [ctb], David H. Eberly [ctb] , Emanuel Huber [ctb] , Florian Prive [ctb]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

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Package eDITH updated to version 0.3.0 with previous version 0.2.0 dated 2024-01-16

Title: Model Transport of Environmental DNA in River Networks
Description: Runs the eDITH (environmental DNA Integrating Transport and Hydrology) model, which implements a mass balance of environmental DNA (eDNA) transport at a river network scale coupled with a species distribution model to obtain maps of species distribution. eDITH can work with both eDNA concentration (e.g., obtained via quantitative polymerase chain reaction) or metabarcoding (read count) data. Parameter estimation can be performed via Bayesian techniques (via the 'BayesianTools' package) or optimization algorithms. An interface to the 'DHARMa' package for posterior predictive checks is provided. See Carraro and Altermatt (2024) <doi:10.1111/2041-210X.14317> for a package introduction; Carraro et al. (2018) <doi:10.1073/pnas.1813843115> and Carraro et al. (2020) <doi:10.1038/s41467-020-17337-8> for methodological details.
Author: Luca Carraro [cre, aut], Florian Altermatt [aut], University of Zurich [cph, fnd]
Maintainer: Luca Carraro <luca.carraro@hotmail.it>

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Package canprot updated to version 2.0.0 with previous version 1.1.2 dated 2022-01-17

Title: Chemical Analysis of Proteins
Description: Chemical analysis of proteins based on their amino acid compositions. Amino acid compositions can be read from FASTA files and used to calculate chemical metrics including carbon oxidation state and stoichiometric hydration state, as described in Dick et al. (2020) <doi:10.5194/bg-17-6145-2020>. Other properties that can be calculated include protein length, grand average of hydropathy (GRAVY), isoelectric point (pI), molecular weight (MW), standard molal volume (V0), and metabolic costs (Akashi and Gojobori, 2002 <doi:10.1073/pnas.062526999>; Wagner, 2005 <doi:10.1093/molbev/msi126>; Zhang et al., 2018 <doi:10.1038/s41467-018-06461-1>). A database of amino acid compositions of human proteins derived from UniProt is provided.
Author: Jeffrey Dick [aut, cre]
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

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New package CompExpDes with initial version 1.0.0
Package: CompExpDes
Title: Computer Experiment Designs
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: In computer experiments space-filling designs are having great impact. Most popularly used space-filling designs are Uniform designs (UDs), Latin hypercube designs (LHDs) etc. For further references one can see Mckay (1979) <DOI:10.1080/00401706.1979.10489755> and Fang (1980) <https://cir.nii.ac.jp/crid/1570291225616774784>. In this package, we have provided algorithms for generate efficient LHDs and UDs. Here, generated LHDs are efficient as they possess lower value of Maxpro measure, Phi_p value and Maximum Absolute Correlation (MAC) value. On the other hand, the produced UDs are having good space-filling property as they attained the lower bound of Discrete Discrepancy measure.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-27 09:28:06 UTC; Ashutosh
Author: Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]
Repository: CRAN
Date/Publication: 2024-03-28 15:50:15 UTC

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Package bayesnec updated to version 2.1.2.0 with previous version 2.1.1.0 dated 2023-09-26

Title: A Bayesian No-Effect- Concentration (NEC) Algorithm
Description: Implementation of No-Effect-Concentration estimation that uses 'brms' (see Burkner (2017)<doi:10.18637/jss.v080.i01>; Burkner (2018)<doi:10.32614/RJ-2018-017>; Carpenter 'et al.' (2017)<doi:10.18637/jss.v076.i01> to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating 'ECx' values, but more particularly 'NEC' (see Fox (2010)<doi:10.1016/j.ecoenv.2009.09.012>), 'NSEC' (see Fisher and Fox (2023)<doi:10.1002/etc.5610>), and 'N(S)EC (see Fisher et al. 2023<doi:10.1002/ieam.4809>). This package expands and supersedes an original version implemented in R2jags, see Fisher, Ricardo and Fox (2020)<doi:10.5281/ZENODO.3966864>.
Author: Rebecca Fisher [aut, cre], Diego Barneche [aut], Gerard Ricardo [aut], David Fox [aut]
Maintainer: Rebecca Fisher <r.fisher@aims.gov.au>

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Package opGMMassessment updated to version 0.3.6 with previous version 0.3.5 dated 2023-02-12

Title: Optimized Automated Gaussian Mixture Assessment
Description: Necessary functions for optimized automated evaluation of the number and parameters of Gaussian mixtures in one-dimensional data. Various methods are available for parameter estimation and for determining the number of modes in the mixture. A detailed description of the methods ca ben found in Lotsch, J., Malkusch, S. and A. Ultsch. (2022) <doi:10.1016/j.imu.2022.101113>.
Author: Jorn Lotsch [aut,cre] , Sebastian Malkusch [aut] , Martin Maechler [ctb], Peter Rousseeuw [ctb], Anja Struyf [ctb], Mia Hubert [ctb], Kurt Hornik [ctb]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>

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Package saeczi updated to version 0.1.2 with previous version 0.1.1 dated 2024-03-13

Title: Small Area Estimation for Continuous Zero Inflated Data
Description: Provides functionality to fit a zero-inflated estimator for small area estimation. This estimator is a combines a linear mixed effects regression model and a logistic mixed effects regression model via a two-stage modeling approach. The estimator's mean squared error is estimated via a parametric bootstrap method. Chandra and others (2012, <doi:10.1080/03610918.2011.598991>) introduce and describe this estimator and mean squared error estimator. White and others (2024+, <arXiv:2402.03263>) describe the applicability of this estimator to estimation of forest attributes and further assess the estimator's properties.
Author: Josh Yamamoto [aut, cre], Dinan Elsyad [aut], Grayson White [aut], Julian Schmitt [aut], Niels Korsgaard [aut], Kelly McConville [aut], Kate Hu [aut]
Maintainer: Josh Yamamoto <joshuayamamoto5@gmail.com>

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Package protti updated to version 0.8.0 with previous version 0.7.0 dated 2024-02-17

Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
Author: Jan-Philipp Quast [aut, cre] , Dina Schuster [aut] , ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>

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Package geohabnet updated to version 2.1.0 with previous version 2.0.0 dated 2024-02-27

Title: Geographical Risk Analysis Based on Habitat Connectivity
Description: The geohabnet package is designed to perform a geographically or spatially explicit risk analysis of habitat connectivity. Xing et al (2021) <doi:10.1093/biosci/biaa067> proposed the concept of cropland connectivity as a risk factor for plant pathogen or pest invasions. As the functions in geohabnet were initially developed thinking on cropland connectivity, users are recommended to first be familiar with the concept by looking at the Xing et al paper. In a nutshell, a habitat connectivity analysis combines information from maps of host density, estimates the relative likelihood of pathogen movement between habitat locations in the area of interest, and applies network analysis to calculate the connectivity of habitat locations. The functions of geohabnet are built to conduct a habitat connectivity analysis relying on geographic parameters (spatial resolution and spatial extent), dispersal parameters (in two commonly used dispersal kernels: inverse power law and negative exponent [...truncated...]
Author: Krishna Keshav [aut, cre], Aaron Plex [aut] , Garrett Lab [ctb] , Karen Garrett [aut] , University of Florida [cph, fnd]
Maintainer: Krishna Keshav <kkeshav@ufl.edu>

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New package PAFit with initial version 1.2.10
Package: PAFit
Title: Generative Mechanism Estimation in Temporal Complex Networks
Version: 1.2.10
Date: 2024-03-28
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongphamthe@gmail.com>
Description: Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided. Thong Pham et al. (2015) <doi:10.1371/journal.pone.0137796>. Thong Pham et al. (2016) <doi:10.1038/srep32558>. Thong Pham et al. (2020) <doi:10.18637/jss.v092.i03>. Thong Pham et al. (2021) <doi:10.1093/comnet/cnab024>.
URL: https://github.com/thongphamthe/PAFit
BugReports: https://github.com/thongphamthe/PAFit/issues
License: GPL-3
Depends: R(>= 2.10.0)
Imports: Rcpp (>= 0.11.3) , grDevices, graphics, stats, RColorBrewer, VGAM, MASS, magicaxis, networkDynamic, network, plyr, igraph, mapproj, knitr, methods, ggplot2
LinkingTo: Rcpp
LazyData: True
Encoding: UTF-8
NeedsCompilation: yes
Suggests: R.rsp
VignetteBuilder: R.rsp
Packaged: 2024-03-27 17:02:13 UTC; thong
Repository: CRAN
Date/Publication: 2024-03-28 10:30:02 UTC

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Package mop updated to version 0.1.2 with previous version 0.1.1 dated 2023-06-12

Title: Mobility Oriented-Parity Metric
Description: A set of tools to perform multiple versions of the Mobility Oriented-Parity metric. This multivariate analysis helps to characterize levels of dissimilarity between a set of conditions of reference and another set of conditions of interest. If predictive models are transferred to conditions different from those over which models were calibrated (trained), this metric helps to identify transfer conditions that differ substantially from those of calibration. These tools are implemented following principles proposed in Owens et al. (2013) <doi:10.1016/j.ecolmodel.2013.04.011>, and expanded to obtain more detailed results that aid in interpretation.
Author: Marlon E. Cobos [aut, cre] , Hannah L. Owens [aut] , Jorge Soberon [aut] , A. Townsend Peterson [aut]
Maintainer: Marlon E. Cobos <manubio13@gmail.com>

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Package ggarchery updated to version 0.4.3 with previous version 0.4.2 dated 2023-01-24

Title: Flexible Segment Geoms with Arrows for 'ggplot2'
Description: Geoms for placing arrowheads at multiple points along a segment, not just at the end; position function to shift starts and ends of arrows to avoid exactly intersecting points.
Author: Matthew Hall [aut, cre]
Maintainer: Matthew Hall <matthew.hall@bdi.ox.ac.uk>

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Package xportr updated to version 0.4.0 with previous version 0.3.2 dated 2024-02-19

Title: Utilities to Output CDISC SDTM/ADaM XPT Files
Description: Tools to build CDISC compliant data sets and check for CDISC compliance.
Author: Eli Miller [aut, cre] , Ben Straub [aut], Zelos Zhu [aut], Ethan Brockmann [aut], Vedha Viyash [aut], Andre Verissimo [aut], Sophie Shapcott [aut], Celine Piraux [aut], Kangjie Zhang [aut], Adrian Chan [aut], Sadchla Mascary [aut], Atorus/GSK JPT [cp [...truncated...]
Maintainer: Eli Miller <Eli.Miller@AtorusResearch.com>

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Package tdcmStan updated to version 3.0.0 with previous version 2.0.0 dated 2023-03-03

Title: Automating the Creation of Stan Code for TDCMs
Description: A collection of functions for automatically creating 'Stan' code for transition diagnostic classification models (TDCMs) as they are defined by Madison and Bradshaw (2018) <DOI:10.1007/s11336-018-9638-5>. This package supports automating the creation of 'Stan' code for TDCMs, fungible TDCMs (i.e., TDCMs with item parameters constrained to be equal across all items), and multi-threaded TDCMs.
Author: Jeffrey Hoover [aut, cre, cph] , W. Jake Thompson [aut]
Maintainer: Jeffrey Hoover <jeffrey.c.hoover@gmail.com>

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Package survivoR updated to version 2.3.2 with previous version 2.3.1 dated 2024-02-15

Title: Data from all Seasons of Survivor (US) TV Series in Tidy Format
Description: Several datasets which detail the results and events of each season of Survivor. This includes details on the cast, voting history, immunity and reward challenges, jury votes and viewers. This data is useful for practicing data wrangling, graph analytics and analysing how each season of Survivor played out. Includes 'ggplot2' scales and colour palettes for visualisation.
Author: Daniel Oehm [aut, cre], Carly Levitz [ctb], Dario Mavec [ctb]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

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Package sgapi updated to version 1.0.2 with previous version 1.0.1 dated 2024-03-20

Title: Aid Querying 'nomis' and 'Office for National Statistics Open Geography' APIs
Description: Facilitates extraction of geospatial data from the 'Office for National Statistics Open Geography' and 'nomis' Application Programming Interfaces (APIs). Simplifies process of querying 'nomis' datasets <https://www.nomisweb.co.uk/> and extracting desired datasets in dataframe format. Extracts area shapefiles at chosen resolution from 'Office for National Statistics Open Geography' <https://geoportal.statistics.gov.uk/>.
Author: Andrew Christy [aut, cre], James Macpherson [aut], Hadyn Jenkins [aut], Crown Copyright [cph]
Maintainer: Andrew Christy <OR_Hub@defra.gov.uk>

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Package rolog updated to version 0.9.16 with previous version 0.9.15 dated 2024-03-18

Title: Query 'SWI'-'Prolog' from R
Description: This R package connects to SWI-Prolog, <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).
Author: Matthias Gondan [aut, com, cre] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

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Package REDCapTidieR updated to version 1.1.0 with previous version 1.0.0 dated 2023-11-08

Title: Extract 'REDCap' Databases into Tidy 'Tibble's
Description: Convert 'REDCap' exports into tidy tables for easy handling of 'REDCap' repeat instruments and event arms.
Author: Richard Hanna [aut, cre] , Stephan Kadauke [aut] , Ezra Porter [aut]
Maintainer: Richard Hanna <richardshanna91@gmail.com>

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Package plsgenomics updated to version 1.5-3 with previous version 1.5-2.1 dated 2023-11-27

Title: PLS Analyses for Genomics
Description: Routines for PLS-based genomic analyses, implementing PLS methods for classification with microarray data and prediction of transcription factor activities from combined ChIP-chip analysis. The >=1.2-1 versions include two new classification methods for microarray data: GSIM and Ridge PLS. The >=1.3 versions includes a new classification method combining variable selection and compression in logistic regression context: logit-SPLS; and an adaptive version of the sparse PLS.
Author: Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>, Ghislain Durif <gd.dev@libertymail.net>, Sophie Lambert-Lacroix <sophie.lambert-lacroix@univ-grenoble-alpes.fr>, Julie Peyre <Julie.Peyre@univ-grenoble-alpes.fr>, and Korbinian Strimmer <k.s [...truncated...]
Maintainer: Ghislain Durif <gd.dev@libertymail.net>

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Package nphPower updated to version 1.1.0 with previous version 1.0.0 dated 2021-12-01

Title: Sample Size Calculation under Non-Proportional Hazards
Description: Performs combination tests and sample size calculation for fixed design with survival endpoints using combination tests under either proportional hazards or non-proportional hazards. The combination tests include maximum weighted log-rank test and projection test. The sample size calculation procedure is very flexible, allowing for user-defined hazard ratio function and considering various trial conditions like staggered entry, drop-out etc. The sample size calculation also applies to various cure models such as proportional hazards cure model, cure model with (random) delayed treatments effects. Trial simulation function is also provided to facilitate the empirical power calculation. The references for projection test and maximum weighted logrank test include Brendel et al. (2014) <doi:10.1111/sjos.12059> and Cheng and He (2021) <arXiv:2110.03833>. The references for sample size calculation under proportional hazard include Schoenfeld (1981) <doi:10.1093/biomet/68.1.316 [...truncated...]
Author: Huan Cheng [aut, cre]
Maintainer: Huan Cheng <hcheng1118@hotmail.com>

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Package gRc updated to version 0.5.0 with previous version 0.4.6 dated 2023-11-29

Title: Inference in Graphical Gaussian Models with Edge and Vertex Symmetries
Description: Estimation, model selection and other aspects of statistical inference in Graphical Gaussian models with edge and vertex symmetries (Graphical Gaussian models with colours). Documentation about 'gRc' is provided in the paper by Hojsgaard and Lauritzen (2007, <doi:10.18637/jss.v023.i06>) and the paper by Hojsgaard and Lauritzen (2008, <doi:10.1111/j.1467-9868.2008.00666.x>).
Author: Soeren Hoejsgaard <sorenh@math.aau.dk>, Steffen L. Lauritzen <lauritzen@math.ku.dk>
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package gpboost updated to version 1.3.1 with previous version 1.3.0 dated 2024-02-28

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.3.0 dated 2024-02-28 and 1.3.1 dated 2024-03-28

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Package GGIRread updated to version 1.0.0 with previous version 0.3.3 dated 2024-01-24

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Lena Kushleyeva [ctb], Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Jairo H Migueles [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package gamlss.add updated to version 5.1-13 with previous version 5.1-12 dated 2024-01-27

Title: Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Description: Interface for extra smooth functions including tensor products, neural networks and decision trees.
Author: Mikis Stasinopoulos [aut, cre] , Robert Rigby [aut] , Vlasios Voudouris [ctb], Daniil Kiose [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@gre.ac.uk>

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Package easystats updated to version 0.7.1 with previous version 0.7.0 dated 2023-11-05

Title: Framework for Easy Statistical Modeling, Visualization, and Reporting
Description: A meta-package that installs and loads a set of packages from 'easystats' ecosystem in a single step. This collection of packages provide a unifying and consistent framework for statistical modeling, visualization, and reporting. Additionally, it provides articles targeted at instructors for teaching 'easystats', and a dashboard targeted at new R users for easily conducting statistical analysis by accessing summary results, model fit indices, and visualizations with minimal programming.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Brenton M. Wiernik [aut] , Etienne Bacher [aut] , Remi Theriault [aut]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package dcmodify updated to version 0.9.0 with previous version 0.8.0 dated 2023-04-07

Title: Modify Data Using Externally Defined Modification Rules
Description: Data cleaning scripts typically contain a lot of 'if this change that' type of statements. Such statements are typically condensed expert knowledge. With this package, such 'data modifying rules' are taken out of the code and become in stead parameters to the work flow. This allows one to maintain, document, and reason about data modification rules as separate entities.
Author: Mark van der Loo [cre, aut] , Edwin de Jonge [aut] , Sjabbo Schaveling [ctb], Floris Ruijter [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package bupaR updated to version 0.5.4 with previous version 0.5.3 dated 2023-04-02

Title: Business Process Analysis in R
Description: Comprehensive Business Process Analysis toolkit. Creates S3-class for event log objects, and related handler functions. Imports related packages for filtering event data, computation of descriptive statistics, handling of 'Petri Net' objects and visualization of process maps. See also packages 'edeaR','processmapR', 'eventdataR' and 'processmonitR'.
Author: Gert Janssenswillen [aut, cre], Gerard van Hulzen [ctb], Felix Mannhardt [ctb], Niels Martin [ctb], Greg Van Houdt [ctb]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package abn (with last version 3.0.6) was removed from CRAN

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

2024-03-22 3.0.6

Permanent link
Package BayesianMCPMod (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:

2024-01-08 1.0.0

Permanent link
Package crosstalkr (with last version 1.0.4) was removed from CRAN

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

2023-09-29 1.0.4
2023-07-05 1.0.3
2023-05-18 1.0.2
2023-01-31 1.0.1
2023-01-27 1.0.0
2022-11-16 0.9.0
2022-09-16 0.8.0

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Package FielDHub updated to version 1.3.7 with previous version 1.3.4 dated 2023-10-19

Title: A Shiny App for Design of Experiments in Life Sciences
Description: A shiny design of experiments (DOE) app that aids in the creation of traditional, un-replicated, augmented and partially-replicated designs applied to agriculture, plant breeding, forestry, animal and biological sciences.
Author: Didier Murillo [cre, aut], Salvador Gezan [aut], Ana Heilman [ctb], Thomas Walk [ctb], Johan Aparicio [ctb], Matthew Seefeldt [ctb], Jean-Marc Montpetit [ctb], Richard Horsley [ctb], North Dakota State University [cph]
Maintainer: Didier Murillo <didier.murilloflorez@ndsu.edu>

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Package GSODR updated to version 4.0.0 with previous version 3.1.10 dated 2024-02-05

Title: Global Surface Summary of the Day ('GSOD') Weather Data Client
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day ('GSOD') weather data from the from the USA National Centers for Environmental Information ('NCEI'). Units are converted from from United States Customary System ('USCS') units to International System of Units ('SI'). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure ('es'), actual vapour pressure ('ea') and relative humidity ('RH') are calculated from the original data using the improved August-Roche-Magnus approximation (Alduchov & Eskridge 1996) and included in the final data set. The resulting metadata include station identification information, country, state, latitude, longitude, elevation, weather observatio [...truncated...]
Author: Adam H. Sparks [aut, cre] , Tomislav Hengl [aut] , Andrew Nelson [aut] , Hugh Parsonage [cph, ctb] , Taras Kaduk [ctb] , Gwenael Giboire [ctb] , Lukasz Pawlik [ctb] , Ross Darnell [ctb] , Tyler Widdison [ctb] ` did not return stations in order of nea [...truncated...]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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