Tue, 14 Mar 2023

Package Require updated to version 0.3.0 with previous version 0.2.6 dated 2023-01-05

Title: Installing and Loading R Packages for Reproducible Workflows
Description: A single key function, 'Require' that makes rerun-tolerant versions of 'install.packages' and `require` for CRAN packages, packages no longer on CRAN (i.e., archived), specific versions of packages, and GitHub packages. This approach is developed to create reproducible workflows that are flexible and fast enough to use while in development stages, while able to build snapshots once a stable package collection is found. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function, with subsequent times being sufficiently fast that they can be run every time without undue waiting burden on the user or developer.
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [ctb] , Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

Diff between Require versions 0.2.6 dated 2023-01-05 and 0.3.0 dated 2023-03-14

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Package openai updated to version 0.4.1 with previous version 0.4.0 dated 2023-03-07

Title: R Wrapper for OpenAI API
Description: An R wrapper of OpenAI API endpoints (see <https://platform.openai.com/docs/introduction> for details). This package covers Models, Completions, Chat, Edits, Images, Embeddings, Audio, Files, Fine-tunes, Moderations, and legacy Engines endpoints.
Author: Iegor Rudnytskyi [aut, cre]
Maintainer: Iegor Rudnytskyi <iegor.rudnytskyi@gmail.com>

Diff between openai versions 0.4.0 dated 2023-03-07 and 0.4.1 dated 2023-03-14

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Package gss updated to version 2.2-4 with previous version 2.2-3 dated 2021-08-05

Title: General Smoothing Splines
Description: A comprehensive package for structural multivariate function estimation using smoothing splines.
Author: Chong Gu <chong@purdue.edu>
Maintainer: Chong Gu <chong@purdue.edu>

Diff between gss versions 2.2-3 dated 2021-08-05 and 2.2-4 dated 2023-03-14

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Package vtable updated to version 1.4.2 with previous version 1.4.1 dated 2022-11-02

Title: Variable Table for Variable Documentation
Description: Automatically generates HTML variable documentation including variable names, labels, classes, value labels (if applicable), value ranges, and summary statistics. See the vignette "vtable" for a package overview.
Author: Nick Huntington-Klein [aut, cre]
Maintainer: Nick Huntington-Klein <nhuntington-klein@seattleu.edu>

Diff between vtable versions 1.4.1 dated 2022-11-02 and 1.4.2 dated 2023-03-14

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Package plsRglm updated to version 1.5.1 with previous version 1.5.0 dated 2022-05-02

Title: Partial Least Squares Regression for Generalized Linear Models
Description: Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria <arXiv:1810.01005>. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between plsRglm versions 1.5.0 dated 2022-05-02 and 1.5.1 dated 2023-03-14

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Package threeBrain updated to version 0.2.9 with previous version 0.2.7 dated 2022-10-15

Title: 3D Brain Visualization
Description: A fast, interactive cross-platform, and easy to share 'WebGL'-based 3D brain viewer that visualizes 'FreeSurfer' and/or 'AFNI/SUMA' surfaces. The viewer widget can be either standalone or embedded into 'R-shiny' applications. The standalone version only require a web browser with 'WebGL2' support (for example, 'Chrome', 'Firefox', 'Safari'), and can be inserted into any websites. The 'R-shiny' support allows the 3D viewer to be dynamically generated from reactive user inputs. This feature has been fully adopted by 'RAVE' <https://openwetware.org/wiki/RAVE>, an interactive toolbox to analyze 'iEEG' data. Documentation about 'threeBrain' is provided by <https://dipterix.org/threeBrain/> and several vignettes included in this package. To cite the package, please check our 'NeuroImage' paper by Magnotti, Wang, and Beauchamp (2020, <doi:10.1016/j.neuroimage.2020.117341>), or see 'citation("threeBrain")' for details.
Author: Zhengjia Wang [aut, cre, cph], John Magnotti [aut, res], Xiang Zhang [ctb, res], Brian Metzger [res], Elizabeth Nesbitt [res], Meng Li [ths], Michael Beauchamp [ths, dtc]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between threeBrain versions 0.2.7 dated 2022-10-15 and 0.2.9 dated 2023-03-14

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Package voice updated to version 0.4.17 with previous version 0.4.14 dated 2022-09-02

Title: Tools for Voice Analysis, Speaker Recognition and Mood Inference
Description: Tools for voice analysis, speaker recognition and mood inference. Gathers 'R' and 'Python' tools to solve problems concerning voice and audio in general.
Author: Zabala Filipe J. [cre, aut]
Maintainer: Zabala Filipe J. <filipezabala@gmail.com>

Diff between voice versions 0.4.14 dated 2022-09-02 and 0.4.17 dated 2023-03-14

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Package findpython updated to version 1.0.8 with previous version 1.0.7 dated 2021-01-27

Title: Functions to Find an Acceptable Python Binary
Description: Package designed to find an acceptable python binary.
Author: Trevor L Davis [aut, cre] , Paul Gilbert [aut]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between findpython versions 1.0.7 dated 2021-01-27 and 1.0.8 dated 2023-03-14

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New package admiralophtha with initial version 0.1.0
Package: admiralophtha
Title: ADaM in R Asset Library - Ophthalmology
Version: 0.1.0
Description: Aids the programming of Clinical Data Standards Interchange Consortium (CDISC) compliant Ophthalmology Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
License: Apache License (>= 2)
URL: https://pharmaverse.github.io/admiralophtha/, https://github.com/pharmaverse/admiralophtha/
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 3.5)
Imports: admiral, admiraldev, assertthat, dplyr, lubridate, magrittr, purrr, rlang, stringr, hms, tidyr, tidyselect, lifecycle
Suggests: admiral.test, devtools, diffdf, lintr, pkgdown, testthat, knitr, methods, miniUI, rmarkdown, roxygen2, spelling, styler, tibble, usethis, covr, DT
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-14 11:55:24 UTC; mancinie
Author: Edoardo Mancini [aut, cre], Gordon Miller [aut], Ritika Aggarwal [aut], Jane Gao [aut], William Holmes [aut], Rachel Linacre [aut], Lucy Palmen [aut], Nandini R Thampi [aut]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>
Repository: CRAN
Date/Publication: 2023-03-14 19:40:02 UTC

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Package mutoss updated to version 0.1-13 with previous version 0.1-12 dated 2017-12-04

Title: Unified Multiple Testing Procedures
Description: Designed to ease the application and comparison of multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods are standardized and usable by the accompanying 'mutossGUI'.
Author: MuToss Coding Team , Gilles Blanchard, Thorsten Dickhaus, Niklas Hack, Frank Konietschke, Kornelius Rohmeyer, Jonathan Rosenblatt, Marsel Scheer, Wiebke Werft
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>

Diff between mutoss versions 0.1-12 dated 2017-12-04 and 0.1-13 dated 2023-03-14

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Package MNP updated to version 3.1-4 with previous version 3.1-3 dated 2022-04-07

Title: Fitting the Multinomial Probit Model
Description: Fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the multinomial probit model may be useful include the analysis of product choice by consumers in market research and the analysis of candidate or party choice by voters in electoral studies. The MNP package can also fit the model with different choice sets for each individual, and complete or partial individual choice orderings of the available alternatives from the choice set. The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2005). "A Bayesian Analysis of the Multinomial Probit Model Using the Data Augmentation." Journal of Econometrics, Vol. 124, No. 2 (February), pp. 311-334. <doi:10.1016/j.jeconom.2004.02.002> Detailed examples are given in Imai and van Dyk (2005). "MNP: R Package for Fitting the Multi [...truncated...]
Author: Kosuke Imai [aut, cre], David van Dyk [aut], Hubert Jin [ctb]
Maintainer: Kosuke Imai <imai@harvard.edu>

Diff between MNP versions 3.1-3 dated 2022-04-07 and 3.1-4 dated 2023-03-14

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New package lmw with initial version 0.0.1
Package: lmw
Title: Linear Model Weights
Version: 0.0.1
Description: Computes the implied weights of linear regression models for estimating average causal effects and provides diagnostics based on these weights. These diagnostics rely on the analyses in Chattopadhyay and Zubizarreta (2022) <doi:10.1093/biomet/asac058> where several regression estimators are represented as weighting estimators, in connection to inverse probability weighting. 'lmw' provides tools to diagnose representativeness, balance, extrapolation, and influence for these models, clarifying the target population of inference. Tools are also available to simplify estimating treatment effects for specific target populations of interest.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/ngreifer/lmw
BugReports: https://github.com/ngreifer/lmw/issues
Depends: R (>= 3.5.0)
Imports: sandwich (>= 3.0-2), backports (>= 1.4.1)
Suggests: MatchIt (>= 4.3.2)
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-13 21:16:58 UTC; NoahGreifer
Author: Ambarish Chattopadhyay [aut] , Noah Greifer [aut, cre] , Jose Zubizarreta [aut]
Maintainer: Noah Greifer <ngreifer@iq.harvard.edu>
Repository: CRAN
Date/Publication: 2023-03-14 18:40:02 UTC

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Package lavaan updated to version 0.6-15 with previous version 0.6-14 dated 2023-02-09

Title: Latent Variable Analysis
Description: Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.
Author: Yves Rosseel [aut, cre] , Terrence D. Jorgensen [aut] , Nicholas Rockwood [aut] , Daniel Oberski [ctb], Jarrett Byrnes [ctb], Leonard Vanbrabant [ctb], Victoria Savalei [ctb], Ed Merkle [ctb], Michael Hallquist [ctb], Mijke Rhemtulla [ctb], Myrsini K [...truncated...]
Maintainer: Yves Rosseel <Yves.Rosseel@UGent.be>

Diff between lavaan versions 0.6-14 dated 2023-02-09 and 0.6-15 dated 2023-03-14

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New package hbamr with initial version 1.0.5
Package: hbamr
Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Version: 1.0.5
Description: Perform hierarchical Bayesian Aldrich-McKelvey scaling using Hamiltonian Monte Carlo via 'Stan'. Aldrich-McKelvey ('AM') scaling is a method for estimating the ideological positions of survey respondents and political actors on a common scale using positional survey data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform other versions by a considerable margin both in terms of yielding meaningful posterior distributions for respondent positions and in terms of recovering true respondent positions in simulations. The package contains functions for preparing data, fitting models, extracting estimates, plotting key results, and comparing models using cross-validation. The models in this package are described in: Bølstad (forthcoming) ''Hierarchical Bayesian Aldrich-McKelvey Scaling'', Political Analysis.
License: GPL (>= 3)
URL: https://github.com/jbolstad/hbamr/
Depends: R (>= 3.4.0)
Imports: dplyr, ggplot2, loo, matrixStats, methods, parallel, pbmcapply, plyr, RColorBrewer, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rlang, rstan (>= 2.18.1), rstantools (>= 2.2.0), stats, tidyr
Suggests: data.table, knitr, rmarkdown
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Biarch: true
Encoding: UTF-8
LazyData: true
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-13 17:24:48 UTC; boelstad
Author: Joergen Boelstad [aut, cre]
Maintainer: Joergen Boelstad <jorgen.bolstad@stv.uio.no>
Repository: CRAN
Date/Publication: 2023-03-14 18:30:02 UTC

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Package ggmap updated to version 3.0.2 with previous version 3.0.1 dated 2022-11-03

Title: Spatial Visualization with ggplot2
Description: A collection of functions to visualize spatial data and models on top of static maps from various online sources (e.g Google Maps and Stamen Maps). It includes tools common to those tasks, including functions for geolocation and routing.
Author: David Kahle [aut, cre] , Hadley Wickham [aut] , Scott Jackson [aut], Mikko Korpela [ctb]
Maintainer: David Kahle <david@kahle.io>

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New package eiExpand with initial version 1.0.5
Package: eiExpand
Title: Utilities for Expanding Functionality of 'eiCompare'
Version: 1.0.5
Description: Augments the 'eiCompare' package's Racially Polarized Voting (RPV) functionality to streamline analyses and visualizations used to support voting rights and redistricting litigation. The package implements methods described in Barreto, M., Collingwood, L., Garcia-Rios, S., & Oskooii, K. A. (2022). "Estimating Candidate Support in Voting Rights Act Cases: Comparing Iterative EI and EI-R×C Methods" <doi:10.1177/0049124119852394>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: dplyr, tidyr, tidyselect (>= 1.2.0), stringr, ggplot2, ggmap, viridis, sf, magrittr, rlang
Suggests: knitr, markdown, rmarkdown, roxygen2, testthat
Encoding: UTF-8
Maintainer: Rachel Carroll <rachelcarroll4@gmail.com>
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2023-03-13 21:52:22 UTC; rachelcarroll
Author: Rachel Carroll [aut, cre], Loren Collingwood [aut]
Repository: CRAN
Date/Publication: 2023-03-14 18:50:08 UTC

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Package animint2 updated to version 2023.3.14 with previous version 2022.9.14 dated 2022-09-15

Title: Animated Interactive Grammar of Graphics
Description: Functions are provided for defining animated, interactive data visualizations in R code, and rendering on a web page. The 2018 Journal of Computational and Graphical Statistics paper, <doi:10.1080/10618600.2018.1513367> describes the concepts implemented.
Author: Toby Hocking [aut, cre] , Hadley Wickham [aut] , Winston Chang [aut] , RStudio [cph] , Nicholas Lewin-Koh [aut] , Martin Maechler [aut] , Randall Prium [aut] , Susan VanderPlas [aut] , Carson Sievert [aut] , Kevin Ferris [aut] , Jun Cai [aut] , Faiza [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package admiral updated to version 0.10.1 with previous version 0.10.0 dated 2023-03-08

Title: ADaM in R Asset Library
Description: A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
Author: Thomas Neitmann [aut, cre], Stefan Bundfuss [aut], Ben Straub [aut], Samia Kabi [aut], Gordon Miller [aut], Teckla Akinyi [aut], Andrew Smith [aut], Konstantina Koukourikou [aut], Ross Farrugia [aut], Eric Simms [aut], Annie Yang [aut], Robin Koeger [...truncated...]
Maintainer: Thomas Neitmann <thomas.neitmann@roche.com>

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Package POSSA updated to version 0.6.3 with previous version 0.6.1 dated 2022-08-29

Title: Power Simulation for Sequential Analyses and Multiple Hypotheses
Description: Calculates, via simulation, power and appropriate stopping alpha boundaries (and/or futility bounds) for sequential analyses (i.e., group sequential design) as well as for multiple hypotheses (multiple tests included in an analysis), given any specified global error rate. This enables the sequential use of practically any significance test, as long as the underlying data can be simulated in advance to a reasonable approximation. Lukács (2022) <doi:10.21105/joss.04643>.
Author: Gaspar Lukacs [aut, cre]
Maintainer: Gaspar Lukacs <lkcsgaspar@gmail.com>

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Package patchDVI updated to version 1.11.0 with previous version 1.10.1 dated 2020-05-08

Title: Package to Patch '.dvi' or '.synctex' Files
Description: Functions to patch specials in '.dvi' files, or entries in '.synctex' files. Works with concordance=TRUE in Sweave, knitr or R Markdown to link sources to previews.
Author: Duncan Murdoch
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package folders updated to version 0.0.8 with previous version 0.0.6 dated 2023-03-14

Title: Standardized Folder Names
Description: Supports the use of standardized folder names.
Author: Brian High [aut, cre], University of Washington [cph, fnd]
Maintainer: Brian High <bhigh@live.com>

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Package coder updated to version 0.13.10 with previous version 0.13.8 dated 2022-08-29

Title: Deterministic Categorization of Items Based on External Code Data
Description: Fast categorization of items based on external code data identified by regular expressions. A typical use case considers patient with medically coded data, such as codes from the International Classification of Diseases ('ICD') or the Anatomic Therapeutic Chemical ('ATC') classification system. Functions of the package relies on a triad of objects: (1) case data with unit id:s and possible dates of interest; (2) external code data for corresponding units in (1) and with optional dates of interest and; (3) a classification scheme ('classcodes' object) with regular expressions to identify and categorize relevant codes from (2). It is easy to introduce new classification schemes ('classcodes' objects) or to use default schemes included in the package. Use cases includes patient categorization based on 'comorbidity indices' such as 'Charlson', 'Elixhauser', 'RxRisk V', or the 'comorbidity-polypharmacy' score (CPS), as well as adverse events after hip and knee replacement surgery.
Author: Erik Bulow [aut, cre] , Emely C Zabore [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/381>), David Robinson [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/381>)
Maintainer: Erik Bulow <eriklgb@gmail.com>

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Package brclimr updated to version 0.1.2 with previous version 0.1.1 dated 2023-03-12

Title: Fetch Zonal Statistics of Weather Indicators for Brazilian Municipalities
Description: Fetches zonal statistics from weather indicators that were calculated for each municipality in Brazil using data from the BR-DWGD and TerraClimate projects. Zonal statistics such as mean, maximum, minimum, standard deviation, and sum were computed by taking into account the data cells that intersect the boundaries of each municipality and stored in Parquet files. This procedure was carried out for all Brazilian municipalities, and for all available dates, for every indicator available in the weather products (BR-DWGD and TerraClimate projects). This package queries on-line the already calculated statistics on the Parquet files and returns easy-to-use data.frames.
Author: Raphael Saldanha [aut, cre] , Reza Akbarinia [aut], Patrick Valduriez [aut], Marcel Pedroso [aut], Victor Ribeiro [aut], Carlos Cardoso [aut], Eduardo Pena [aut], Fabio Porto [aut]
Maintainer: Raphael Saldanha <raphael.de-freitas-saldanha@inria.fr>

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Package bakR updated to version 0.4.0 with previous version 0.2.4 dated 2022-10-10

Title: Analyze and Compare Nucleotide Recoding RNA Sequencing Datasets
Description: Several implementations of a novel Bayesian hierarchical statistical model of nucleotide recoding RNA-seq experiments (NR-seq; TimeLapse-seq, SLAM-seq, TUC-seq, etc.) for analyzing and comparing NR-seq datasets (see 'Vock and Simon' (2022) <doi:10.1101/2022.09.02.505697>). NR-seq is a powerful extension of RNA-seq that provides information about the kinetics of RNA metabolism (e.g., RNA degradation rate constants), which is notably lacking in standard RNA-seq data. The statistical model makes maximal use of these high-throughput datasets by sharing information across transcripts to significantly improve uncertainty quantification and increase statistical power. 'bakR' includes a maximally efficient implementation of this model for conservative initial investigations of datasets. 'bakR' also provides more highly powered implementations using the probabilistic programming language 'Stan' to sample from the full posterior distribution. 'bakR' performs multiple-test adjusted statisti [...truncated...]
Author: Isaac Vock [aut, cre]
Maintainer: Isaac Vock <isaac.vock@gmail.com>

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Package admiralonco updated to version 0.3.0 with previous version 0.2.0 dated 2022-12-07

Title: Oncology Extension Package for ADaM in 'R' Asset Library
Description: Programming oncology specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>). The package is an extension package of the 'admiral' package.
Author: Stefan Bundfuss [aut, cre], Ross Farrugia [aut], Amit Jain [aut], Andrew Smith [aut], Teckla Akinyi [aut], Samia Kabi [aut], Stephen Gormley [aut], Hinal Patel [aut], Karl Kennedy [ctb], Matt Marino [ctb], Gopi Vegesna [ctb], Thomas Neitmann [ctb], A [...truncated...]
Maintainer: Stefan Bundfuss <stefan.bundfuss@roche.com>

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New package randomizeR with initial version 3.0.0
Package: randomizeR
Title: Randomization for Clinical Trials
Version: 3.0.0
Maintainer: Ralf-Dieter Hilgers <rhilgers@ukaachen.de>
Description: This tool enables the user to choose a randomization procedure based on sound scientific criteria. It comprises the generation of randomization sequences as well the assessment of randomization procedures based on carefully selected criteria. Furthermore, 'randomizeR' provides a function for the comparison of randomization procedures.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.6.0), methods, ggplot2, plotrix, survival, mvtnorm
Imports: pracma, cubature, mstate, purrr, rlang, magrittr, dplyr, coin, PwrGSD
Suggests: testthat, knitr
NeedsCompilation: no
Packaged: 2023-03-14 13:04:34 UTC; denisr
Author: David Schindler [aut], Diane Uschner [aut], Denis Razsolkov [ctb], Dimitar Mihaylov [ctb], Marcia Viviane Rueckbeil [ctb], Martin Manolov [ctb], Thi Mui Pham [ctb], Michael Martini [ctb], Ralf-Dieter Hilgers [aut, ths, cre], Nicole Heussen [aut, ths]
Repository: CRAN
Date/Publication: 2023-03-14 15:40:03 UTC

More information about randomizeR at CRAN
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Package eaf updated to version 2.4.1 with previous version 2.4 dated 2023-01-12

Title: Plots of the Empirical Attainment Function
Description: Computation and visualization of the empirical attainment function (EAF) for the analysis of random sets in multi-criterion optimization. M. López-Ibáñez, L. Paquete, and T. Stützle (2010) <doi:10.1007/978-3-642-02538-9_9>.
Author: Manuel Lopez-Ibanez [aut, cre] , Marco Chiarandini [aut], Carlos Fonseca [aut], Luis Paquete [aut], Thomas Stuetzle [aut], Mickael Binois [ctb]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

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Package brms updated to version 2.19.0 with previous version 2.18.0 dated 2022-09-19

Title: Bayesian Regression Models using 'Stan'
Description: Fit Bayesian generalized (non-)linear multivariate multilevel models using 'Stan' for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include both theory-driven and data-driven non-linear terms, auto-correlation structures, censoring and truncation, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their prior knowledge. Models can easily be evaluated and compared using several methods assessing posterior or prior predictions. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>; B [...truncated...]
Author: Paul-Christian Buerkner [aut, cre], Jonah Gabry [ctb], Sebastian Weber [ctb], Andrew Johnson [ctb], Martin Modrak [ctb], Hamada S. Badr [ctb], Frank Weber [ctb], Mattan S. Ben-Shachar [ctb], Hayden Rabel [ctb], Simon C. Mills [ctb], Stephen Wild [ctb]
Maintainer: Paul-Christian Buerkner <paul.buerkner@gmail.com>

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Package scatterplot3d updated to version 0.3-43 with previous version 0.3-42 dated 2022-09-08

Title: 3D Scatter Plot
Description: Plots a three dimensional (3D) point cloud.
Author: Uwe Ligges <ligges@statistik.tu-dortmund.de>, Martin Maechler, Sarah Schnackenberg
Maintainer: Uwe Ligges <ligges@statistik.tu-dortmund.de>

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Package MDFS updated to version 1.5.0 with previous version 1.4.0 dated 2023-01-31

Title: MultiDimensional Feature Selection
Description: Functions for MultiDimensional Feature Selection (MDFS): calculating multidimensional information gains, scoring variables, finding important variables, plotting selection results. This package includes an optional CUDA implementation that speeds up information gain calculation using NVIDIA GPGPUs. R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.
Author: Radoslaw Piliszek [aut, cre], Krzysztof Mnich [aut], Pawel Tabaszewski [aut], Szymon Migacz [aut], Andrzej Sulecki [aut], Witold Remigiusz Rudnicki [aut]
Maintainer: Radoslaw Piliszek <r.piliszek@uwb.edu.pl>

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Package funspace updated to version 0.1.1 with previous version 0.1.0 dated 2023-03-08

Title: Creating and Representing Functional Trait Spaces
Description: Estimation of functional spaces based on traits of organisms. The package includes functions to impute missing trait values (with or without considering phylogenetic information), and to create, represent and analyse two dimensional functional spaces based on principal components analysis, other ordination methods, or raw traits. It also allows for mapping a third variable onto the functional space. See 'Carmona et al. (2021)' <doi:10.1038/s41586-021-03871-y>, 'Puglielli et al. (2021)' <doi:10.1111/nph.16952>, 'Carmona et al. (2021)' <doi:10.1126/sciadv.abf2675>, 'Carmona et al. (2019)' <doi:10.1002/ecy.2876> for more information.
Author: Carlos P. Carmona [cre] , Nicola Pavanetto [aut] , Giacomo Puglielli [aut]
Maintainer: Carlos P. Carmona <perezcarmonacarlos@gmail.com>

Diff between funspace versions 0.1.0 dated 2023-03-08 and 0.1.1 dated 2023-03-14

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New package Crossover with initial version 0.1-21
Package: Crossover
Title: Analysis and Search of Crossover Designs
Version: 0.1-21
Author: Kornelius Rohmeyer
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>
Description: Generate and analyse crossover designs from combinatorial or search algorithms as well as from literature and a GUI to access them.
Depends: R (>= 3.0.2), ggplot2
Imports: MASS, crossdes (>= 1.1-1), xtable, methods, Matrix, rJava (>= 0.8-3), CommonJavaJars (>= 1.0.5), Rcpp (>= 0.10.3), RcppArmadillo (>= 0.2.0), JavaGD, multcomp, stats4, digest
Suggests: knitr, testthat, nlme
LinkingTo: Rcpp (>= 0.10.3), RcppArmadillo (>= 0.2.0)
SystemRequirements: Java (>= 5.0)
License: GPL-2
VignetteBuilder: knitr
URL: https://github.com/kornl/Crossover/wiki
BugReports: https://github.com/kornl/Crossover/issues
NeedsCompilation: yes
Packaged: 2023-03-14 14:05:06 UTC; kornel
Repository: CRAN
Date/Publication: 2023-03-14 14:30:05 UTC

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Package webSDM updated to version 1.1-3 with previous version 1.1-1 dated 2022-11-25

Title: Including Known Interactions in Species Distribution Models
Description: A collection of tools to fit and work with trophic Species Distribution Models. Trophic Species Distribution Models combine knowledge of trophic interactions with Bayesian structural equation models that model each species as a function of its prey (or predators) and environmental conditions. It exploits the topological ordering of the known trophic interaction network to predict species distribution in space and/or time, where the prey (or predator) distribution is unavailable. The method implemented by the package is described in Poggiato, Andréoletti, Pollock and Thuiller (2022) <doi:10.22541/au.166853394.45823739/v1>.
Author: Giovanni Poggiato [aut, cre, cph] , Jeremy Andreoletti [aut]
Maintainer: Giovanni Poggiato <giov.poggiato@gmail.com>

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Package GeoModels updated to version 1.0.7 with previous version 1.0.6 dated 2023-01-07

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) simulation and inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associ [...truncated...]
Author: Moreno Bevilacqua [aut, cre] , Victor Morales-Onate [aut] , Christian Caamano-Carrillo [aut]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

Diff between GeoModels versions 1.0.6 dated 2023-01-07 and 1.0.7 dated 2023-03-14

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Package tuneR updated to version 1.4.3 with previous version 1.4.2 dated 2023-01-17

Title: Analysis of Music and Speech
Description: Analyze music and speech, extract features like MFCCs, handle wave files and their representation in various ways, read mp3, read midi, perform steps of a transcription, ... Also contains functions ported from the 'rastamat' 'Matlab' package.
Author: Uwe Ligges [aut, cre, cph] , Sebastian Krey [aut, cph], Olaf Mersmann [aut, cph], Sarah Schnackenberg [aut, cph], Guillaume Guenard [aut, cph] , Daniel P. W. Ellis [aut, cph] , Underbit Technologies [aut, cph] , Andrea Preusser [ctb], Anita Thieler [ [...truncated...]
Maintainer: Uwe Ligges <ligges@statistik.tu-dortmund.de>

Diff between tuneR versions 1.4.2 dated 2023-01-17 and 1.4.3 dated 2023-03-14

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Package SqlRender updated to version 1.13.0 with previous version 1.12.1 dated 2023-02-21

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include 'Microsoft SQL Server', 'Oracle', 'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', 'Snowflake', 'Azure Synapse Analytics Dedicated', 'Apache Spark', and 'SQLite'.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between SqlRender versions 1.12.1 dated 2023-02-21 and 1.13.0 dated 2023-03-14

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New package snha with initial version 0.1.3
Package: snha
Title: Creating Correlation Networks using St. Nicolas House Analysis
Version: 0.1.3
Date: 2023-05-13
Maintainer: Detlef Groth <dgroth@uni-potsdam.de>
Description: Create correlation networks using St. Nicolas House Analysis ('SNHA'). The package can be used for visualizing multivariate data similar to Principal Component Analysis or Multidimensional Scaling using a ranking approach. In contrast to 'MDS' and 'PCA', 'SNHA' uses a network approach to explore interacting variables. For details see 'Hermanussen et. al. 2021', <doi:10.3390/ijerph18041741>.
URL: https://github.com/mittelmark/snha
BugReports: https://github.com/mittelmark/snha/issues
Depends: R (>= 3.5.0)
Imports: MASS
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
LazyData: yes
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-13 15:45:59 UTC; groth
Author: Detlef Groth [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-14 11:40:02 UTC

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Package Ropj updated to version 0.3-4 with previous version 0.3-3 dated 2023-01-08

Title: Import Origin(R) Project Files
Description: Read the data from Origin(R) project files ('*.opj') <https://www.originlab.com/doc/User-Guide/Origin-File-Types>. No write support is planned.
Author: Miquel Garriga [aut, cph], Stefan Gerlach [aut, cph], Ion Vasilief [aut, cph], Alex Kargovsky [aut, cph], Knut Franke [ctb, cph], Alexander Semke [ctb, cph], Tilman Benkert [ctb, cph], Kasper Peeters [ctb, cph], Russell Standish [ctb, cph], Ivan Kryl [...truncated...]
Maintainer: Ivan Krylov <krylov.r00t@gmail.com>

Diff between Ropj versions 0.3-3 dated 2023-01-08 and 0.3-4 dated 2023-03-14

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New package multilevLCA with initial version 1.0
Package: multilevLCA
Version: 1.0
Date: 2023-03-08
Title: Estimates and Plots Single-Level and Multilevel Latent Class Models
Description: Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications.
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.9), magrittr, MASS, dplyr, tidyr, klaR, foreach, parallel
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 2)
LazyData: true
NeedsCompilation: yes
Author: Roberto Di Mari [aut, cre], Johan Lyrvall [aut], Zsuzsa Bakk [ctb], Jennifer Oser [ctb], Jouni Kuha [ctb]
Maintainer: Roberto Di Mari <roberto.dimari@unict.it>
Packaged: 2023-03-13 14:01:27 UTC; roberto
Repository: CRAN
Date/Publication: 2023-03-14 11:20:02 UTC

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Package jsTreeR updated to version 2.3.1 with previous version 2.3.0 dated 2023-02-10

Title: A Wrapper of the JavaScript Library 'jsTree'
Description: Creates interactive trees that can be included in 'Shiny' apps and R markdown documents. A tree allows to represent hierarchical data (e.g. the contents of a directory). Similar to the 'shinyTree' package but offers more features and options, such as the grid extension, restricting the drag-and-drop behavior, and settings for the search functionality. It is possible to attach some data to the nodes of a tree and then to get these data in 'Shiny' when a node is selected. Also provides a 'Shiny' gadget allowing to manipulate one or more folders, and a 'Shiny' module allowing to navigate in the server side file system.
Author: Stephane Laurent [aut, cre], jQuery contributors [ctb, cph] , Ivan Bozhanov [ctb, cph] , Vedran Opacic [ctb, cph] , Avi Deitcher [ctb, cph] , Philip Hutchison [ctb, cph] , Terence Eden [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between jsTreeR versions 2.3.0 dated 2023-02-10 and 2.3.1 dated 2023-03-14

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New package folders with initial version 0.0.6
Package: folders
Title: Standardized Folder Names
Version: 0.0.6
URL: https://github.com/deohs/folders
BugReports: https://github.com/deohs/folders/issues
Description: Supports the use of standardized folder names.
Depends: R (>= 3.6)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: config (>= 0.3), here (>= 0.1), yaml (>= 2.2.1)
Suggests: testthat (>= 2.3.2)
NeedsCompilation: no
Packaged: 2023-03-13 17:10:32 UTC; high
Author: Brian High [aut, cre], University of Washington [cph, fnd]
Maintainer: Brian High <bhigh@live.com>
Repository: CRAN
Date/Publication: 2023-03-14 11:40:05 UTC

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New package banditpam with initial version 1.0
Package: banditpam
Title: Almost Linear-Time k-Medoids Clustering
Version: 1.0
Description: Interface to a high-performance implementation of k-medoids clustering described in Tiwari, Zhang, Mayclin, Trun and Piech (2020) "BanditPAM: Almost Linear Time k-medoids Clustering via Multi-Armed Bandits" <https://proceedings.neurips.cc/paper/2020/file/73b817090081cef1bca77232f4532c5d-Paper.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
BugReports: https://github.com/motiwari/BanditPAM
SystemRequirements: C++17
Depends: R (>= 3.5.0)
Suggests: ggplot2, knitr, MASS, rmarkdown, tinytest
LinkingTo: Rcpp, RcppArmadillo
Imports: R6, Rcpp
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-13 14:53:05 UTC; naras
Author: Balasubramanian Narasimhan [aut, cre], Mo Tiwari [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>
Repository: CRAN
Date/Publication: 2023-03-14 11:30:02 UTC

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New package GeSciLiVis with initial version 1.1.0
Package: GeSciLiVis
Title: Gene-Based Publication Activity Visualiser
Version: 1.1.0
Description: Visualising publication activity per gene based on a gene list and a user-defined set of keywords utilising R 'rentrez' <https://cran.r-project.org/package=rentrez/> that provides 'NCBI' <https://www.ncbi.nlm.nih.gov> database search like in 'PubMed' <https://pubmed.ncbi.nlm.nih.gov>. It summarises the retrieved number of publications for each gene in an overview bar plot (saved as 'png' file) and by choice a summary table (as 'csv') that including the most recent 100 'PubMed' IDs and publication titles.
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: rentrez (>= 1.2.3), biomaRt (>= 2.54.0), biomartr (>= 1.0.2), grDevices (>= 4.2.2), graphics (>= 4.2.2), utils (>= 4.2.2)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-13 08:43:51 UTC; Marina
Author: Marina Leer [aut, cre, cph] , George Soultoukis [ctb] , Masoome Oveisi [ctb], German Research Foundation [fnd], German Ministry of Education and Research [fnd], State of Brandenburg [fnd]
Maintainer: Marina Leer <marina.leer@dife.de>
Repository: CRAN
Date/Publication: 2023-03-14 11:00:02 UTC

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Package worldriskpollr updated to version 0.7.2 with previous version 0.7.0 dated 2023-02-23

Title: Aggregated Survey Data from the World Risk Poll
Description: Provides users with programmatic access to aggregated survey data from the World Risk Poll, conveniently packaged for consumption by R users. It first downloads and formats the Lloyd's Register Foundation World Risk Poll individual survey responses. It then processes this data and provides weighting functions for users to select questions of interest and aggregate to national levels, by gender, age, income, education urban/rural and household composition. The method of aggregation can be found at <https://www.gallup.com/178667/gallup-world-poll-work.aspx/>. More information about the World Risk Poll Survey can be found here <https://wrp.lrfoundation.org.uk/>.
Author: David Hammond [aut, cre]
Maintainer: David Hammond <dhammond@economicsandpeace.org>

Diff between worldriskpollr versions 0.7.0 dated 2023-02-23 and 0.7.2 dated 2023-03-14

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

Title: Tools for Working with Posterior Distributions
Description: Provides useful tools for both users and developers of packages for fitting Bayesian models or working with output from Bayesian models. The primary goals of the package are to: (a) Efficiently convert between many different useful formats of draws (samples) from posterior or prior distributions. (b) Provide consistent methods for operations commonly performed on draws, for example, subsetting, binding, or mutating draws. (c) Provide various summaries of draws in convenient formats. (d) Provide lightweight implementations of state of the art posterior inference diagnostics. References: Vehtari et al. (2021) <doi:10.1214/20-BA1221>.
Author: Paul-Christian Buerkner [aut, cre], Jonah Gabry [aut], Matthew Kay [aut], Aki Vehtari [aut], Mans Magnusson [ctb], Rok Česnovar [ctb], Ben Lambert [ctb], Ozan Adiguezel [ctb], Jacob Socolar [ctb]
Maintainer: Paul-Christian Buerkner <paul.buerkner@gmail.com>

Diff between posterior versions 1.4.0 dated 2023-02-22 and 1.4.1 dated 2023-03-14

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Package modi updated to version 0.1.2 with previous version 0.1.1 dated 2023-03-03

Title: Multivariate Outlier Detection and Imputation for Incomplete Survey Data
Description: Algorithms for multivariate outlier detection when missing values occur. Algorithms are based on Mahalanobis distance or data depth. Imputation is based on the multivariate normal model or uses nearest neighbour donors. The algorithms take sample designs, in particular weighting, into account. The methods are described in Bill and Hulliger (2016) <doi:10.17713/ajs.v45i1.86>.
Author: Beat Hulliger [aut, cre], Martin Sterchi [ctb], Tobias Schoch [ctb]
Maintainer: Beat Hulliger <beat.hulliger@fhnw.ch>

Diff between modi versions 0.1.1 dated 2023-03-03 and 0.1.2 dated 2023-03-14

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Package DAMisc (with last version 1.7.2) was removed from CRAN

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

2022-01-11 1.7.2
2020-11-12 1.6.2
2020-09-11 1.6.1
2020-04-23 1.5.4
2020-03-27 1.5.3
2020-02-03 1.5.1
2019-06-25 1.5
2016-07-04 1.4-3
2015-01-06 1.3
2013-04-09 1.2
2012-03-14 1.1
2010-05-19 1.0

Permanent link
Package psre (with last version 0.1.2) was removed from CRAN

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

2022-08-08 0.1.2
2022-04-10 0.1.1
2022-01-24 0.1.0

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Package wallace updated to version 2.0.4 with previous version 2.0.3 dated 2023-01-16

Title: A Modular Platform for Reproducible Modeling of Species Niches and Distributions
Description: The 'shiny' application Wallace is a modular platform for reproducible modeling of species niches and distributions. Wallace guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface. An extensive vignette, which guides users through most package functionality can be found on the package's GitHub Pages website: <https://wallaceecomod.github.io/wallace/articles/tutorial-v2.html>.
Author: Jamie M. Kass [aut], Gonzalo E. Pinilla-Buitrago [aut, cre], Andrea Paz [aut], Bethany A. Johnson [aut], Valentina Grisales-Betancur [aut], Dean Attali [aut], Matthew E. Aiello-Lammens [aut], Cory Merow [aut], Mary E. Blair [aut], Robert P. Anderson [...truncated...]
Maintainer: Gonzalo E. Pinilla-Buitrago <gpinillabuitrago@gradcenter.cuny.edu>

Diff between wallace versions 2.0.3 dated 2023-01-16 and 2.0.4 dated 2023-03-14

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Package vegtable updated to version 0.1.8 with previous version 0.1.7 dated 2021-10-13

Title: Handling Vegetation Data Sets
Description: Import and handling data from vegetation-plot databases, especially data stored in 'Turboveg 2' (<https://www.synbiosys.alterra.nl/turboveg/>). Also import/export routines for exchange of data with 'Juice' (<https://www.sci.muni.cz/botany/juice/>) are implemented.
Author: Miguel Alvarez [aut, cre]
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

Diff between vegtable versions 0.1.7 dated 2021-10-13 and 0.1.8 dated 2023-03-14

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Package RSSL updated to version 0.9.6 with previous version 0.9.5 dated 2022-01-17

Title: Implementations of Semi-Supervised Learning Approaches for Classification
Description: A collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.
Author: Jesse Krijthe [aut, cre]
Maintainer: Jesse Krijthe <jkrijthe@gmail.com>

Diff between RSSL versions 0.9.5 dated 2022-01-17 and 0.9.6 dated 2023-03-14

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Permanent link

Package rlang updated to version 1.1.0 with previous version 1.0.6 dated 2022-09-24

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], mikefc [cph] , Yann Collet [cph] , Posit, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

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Package raptr updated to version 1.0.0 with previous version 0.2.1 dated 2022-07-25

Title: Representative and Adequate Prioritization Toolkit in R
Description: Biodiversity is in crisis. The overarching aim of conservation is to preserve biodiversity patterns and processes. To this end, protected areas are established to buffer species and preserve biodiversity processes. But resources are limited and so protected areas must be cost-effective. This package contains tools to generate plans for protected areas (prioritizations), using spatially explicit targets for biodiversity patterns and processes. To obtain solutions in a feasible amount of time, this package uses the commercial 'Gurobi' software (obtained from <https://www.gurobi.com/>). For more information on using this package, see Hanson et al. (2018) <doi:10.1111/2041-210X.12862>.
Author: Jeffrey O Hanson [aut, cre], Jonathan R Rhodes [aut], Hugh P Possingham [aut], Richard A Fuller [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

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Package mlr3oml updated to version 0.7.1 with previous version 0.7.0 dated 2022-12-12

Title: Connector Between 'mlr3' and 'OpenML'
Description: Provides an interface to 'OpenML.org' to list and download machine learning data, tasks and experiments. The 'OpenML' objects can be automatically converted to 'mlr3' objects. For a more sophisticated interface which also allows uploading to 'OpenML', see the 'OpenML' package.
Author: Michel Lang [aut] , Sebastian Fischer [cre, aut]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

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Package MKinfer updated to version 1.0 with previous version 0.9 dated 2022-11-16

Title: Inferential Statistics
Description: Computation of various confidence intervals (Altman et al. (2000), ISBN:978-0-727-91375-3; Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) including bootstrapped versions (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) as well as Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2), permutation (Janssen (1997), <doi:10.1016/S0167-7152(97)00043-6>), bootstrap (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) and multiple imputation (Barnard and Rubin (1999), <doi:10.1093/biomet/86.4.948>) t-test. Graphical visualization by volcano and Bland-Altman plots (Bland and Altman (1986), <doi:10.1016/S0140-6736(86)90837-8>; Shieh (2018), <doi:10.1186/s12874-018-0505-y>).
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package lme4 updated to version 1.1-32 with previous version 1.1-31 dated 2022-10-31

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 laGP updated to version 1.5-9 with previous version 1.5-8 dated 2022-10-23

Title: Local Approximate Gaussian Process Regression
Description: Performs approximate GP regression for large computer experiments and spatial datasets. The approximation is based on finding small local designs for prediction (independently) at particular inputs. OpenMP and SNOW parallelization are supported for prediction over a vast out-of-sample testing set; GPU acceleration is also supported for an important subroutine. OpenMP and GPU features may require special compilation. An interface to lower-level (full) GP inference and prediction is provided. Wrapper routines for blackbox optimization under mixed equality and inequality constraints via an augmented Lagrangian scheme, and for large scale computer model calibration, are also provided. For details and tutorial, see Gramacy (2016 <doi:10.18637/jss.v072.i01>.
Author: Robert B. Gramacy <rbg@vt.edu>, Furong Sun <furongs@vt.edu>
Maintainer: Robert B. Gramacy <rbg@vt.edu>

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Package ggtikz updated to version 0.1.2 with previous version 0.1.1 dated 2022-07-20

Title: Post-Process 'ggplot2' Plots with 'TikZ' Code Using Plot Coordinates
Description: Annotation of 'ggplot2' plots with arbitrary 'TikZ' code, using absolute data or relative plot coordinates.
Author: Oliver Thomas [aut, cre]
Maintainer: Oliver Thomas <oliver.thomas@sgbm.uni-freiburg.de>

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Package bqror updated to version 1.5.0 with previous version 1.4.0 dated 2022-07-06

Title: Bayesian Quantile Regression for Ordinal Models
Description: Package provides functions for estimation and inference in Bayesian quantile regression with ordinal outcomes. An ordinal model with 3 or more outcomes (labeled OR1 model) is estimated by a combination of Gibbs sampling and Metropolis-Hastings (MH) algorithm. Whereas an ordinal model with exactly 3 outcomes (labeled OR2 model) is estimated using a Gibbs sampling algorithm. The summary output presents the posterior mean, posterior standard deviation, 95% credible intervals, and the inefficiency factors along with the two model comparison measures – logarithm of marginal likelihood and the deviance information criterion (DIC). The package also provides functions for computing the covariate effects and other functions that aids either the estimation or inference in quantile ordinal models. Rahman, M. A. (2016).“Bayesian Quantile Regression for Ordinal Models.” Bayesian Analysis, 11(1): 1-24 <doi: 10.1214/15-BA939>. Yu, K., and Moyeed, R. A. (2001). “Bayesian Quantile Regression.” St [...truncated...]
Author: Mohammad Arshad Rahman Developer [aut], Prajual Maheshwari [cre]
Maintainer: Prajual Maheshwari <prajual1391@gmail.com>

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Package pm3 updated to version 0.1.4 with previous version 0.1.2 dated 2023-03-06

Title: Propensity Score Matching for Unordered 3-Group Data
Description: You can use this program for 3 sets of categorical data for propensity score matching. Assume that the data has 3 different categorical variables. You can use it to perform propensity matching of baseline indicator groupings. The matching will make the differences in the baseline data smaller. This method was described by Alvaro Fuentes (2022) <doi:10.1080/00273171.2021.1925521>.
Author: Qiang LIU [aut, cre]
Maintainer: Qiang LIU <dege857@163.com>

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Package mlr3benchmark updated to version 0.1.5 with previous version 0.1.4 dated 2022-10-10

Title: Analysis and Visualisation of Benchmark Experiments
Description: Implements methods for post-hoc analysis and visualisation of benchmark experiments, for 'mlr3' and beyond.
Author: Sonabend Raphael [aut] , Florian Pfisterer [aut] , Michel Lang [ctb] , Bernd Bischl [ctb] , Sebastian Fischer [cre, ctb]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

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Package mlflow updated to version 2.1.2 with previous version 2.1.1 dated 2023-01-16

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

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Package IDConverter updated to version 0.3.4 with previous version 0.3.3 dated 2022-08-15

Title: Convert Identifiers in Biological Databases
Description: Identifiers in biological databases connect different levels of metadata, phenotype data or genotype data. This tool is designed to easily convert identifiers within or between different biological databases (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557>).
Author: Shixiang Wang [aut, cre]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package R2MLwiN updated to version 0.8-8 with previous version 0.8-7 dated 2020-06-27

Title: Running 'MLwiN' from Within R
Description: An R command interface to the 'MLwiN' multilevel modelling software package.
Author: Zhengzheng Zhang [aut, cre], Chris Charlton [aut], Richard Parker [aut], George Leckie [aut], William Browne [aut]
Maintainer: Zhengzheng Zhang <zhengzheng236@gmail.com>

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Package tidybayes updated to version 3.0.4 with previous version 3.0.3 dated 2023-02-04

Title: Tidy Data and 'Geoms' for Bayesian Models
Description: Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided to help extract tidy data frames of draws from Bayesian models and that generate point summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities), and fit curves with multiple, arbitrary uncertainty bands.
Author: Matthew Kay [aut, cre], Timothy Mastny [ctb]
Maintainer: Matthew Kay <mjskay@northwestern.edu>

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