Fri, 18 Nov 2022

New package mlr3spatiotempcv with initial version 2.0.3
Package: mlr3spatiotempcv
Title: Spatiotemporal Resampling Methods for 'mlr3'
Version: 2.0.3
Description: Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.
License: LGPL-3
URL: https://mlr3spatiotempcv.mlr-org.com/, https://github.com/mlr-org/mlr3spatiotempcv, https://mlr3book.mlr-org.com
BugReports: https://github.com/mlr-org/mlr3spatiotempcv/issues
Depends: mlr3 (>= 0.12.0), R (>= 3.5.0)
Imports: checkmate, data.table, ggplot2 (>= 3.4.0), mlr3misc (>= 0.11.0), paradox, R6, utils
Suggests: bbotk, blockCV (>= 2.1.4), caret, ggsci, ggtext, knitr, lgr, mlr3filters, mlr3pipelines, mlr3tuning, patchwork, here, plotly, raster, rgdal, rmarkdown, rpart, sf, skmeans, sperrorest, terra, testthat (>= 3.0.0), vdiffr (>= 1.0.0), withr
VignetteBuilder: knitr
Config/testthat/parallel: true
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-18 16:33:22 UTC; pjs
Author: Patrick Schratz [aut, cre] , Marc Becker [aut] , Jannes Muenchow [ctb] , Michel Lang [ctb]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-19 00:20:02 UTC

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New package DynForest with initial version 1.1.0
Package: DynForest
Title: Random Forest with Multivariate Longitudinal Predictors
Version: 1.1.0
Description: Based on random forest principle, 'DynForest' is able to include multiple longitudinal predictors to provide individual predictions. Longitudinal predictors are modeled through the random forest. The methodology is fully described for a survival outcome in: Devaux, Helmer, Dufouil, Genuer & Proust-Lima (2022) <doi: 10.48550/arXiv.2208.05801>.
Imports: DescTools, cmprsk, doParallel, foreach, ggplot2, lcmm, methods, pbapply, pec, prodlim, stringr, survival, zoo
Depends: R (>= 3.5.0)
License: LGPL (>= 3)
LazyData: true
Encoding: UTF-8
URL: https://github.com/anthonydevaux/DynForest
BugReports: https://github.com/anthonydevaux/DynForest/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-14 09:34:01 UTC; antho
Author: Anthony Devaux [aut, cre]
Maintainer: Anthony Devaux <anthony.devaux@u-bordeaux.fr>
Repository: CRAN
Date/Publication: 2022-11-19 00:10:02 UTC

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Package track2KBA updated to version 1.0.4 with previous version 1.0.3 dated 2022-10-10

Title: Identifying Important Areas from Animal Tracking Data
Description: Functions for preparing and analyzing animal tracking data, with the intention of identifying areas which are potentially important at the population level and therefore of conservation interest. Areas identified using this package may be checked against global or regionally-defined criteria, such as those set by the Key Biodiversity Area program. The method published herein is described in full in Beal et al. 2021 <doi:10.1111/2041-210X.13713>.
Author: Martin Beal [aut, cre] , Steffen Oppel [aut] , Maria Dias [aut] , Mark Miller [ctb], Phillip Taylor [ctb], Virginia Morera-Pujol [ctb] , Elizabeth Pearmain [ctb] , Jonathan Handley [ctb] , Ben Lascelles [ctb]
Maintainer: Martin Beal <martinbeal88@gmail.com>

Diff between track2KBA versions 1.0.3 dated 2022-10-10 and 1.0.4 dated 2022-11-18

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Package tidytags updated to version 1.1.0 with previous version 1.0.3 dated 2022-10-18

Title: Importing and Analyzing 'Twitter' Data Collected with 'Twitter Archiving Google Sheets'
Description: The 'tidytags' package coordinates the simplicity of collecting tweets over time with a 'Twitter Archiving Google Sheet' (TAGS; <https://tags.hawksey.info/>) and the utility of the 'rtweet' package (<https://docs.ropensci.org/rtweet/>) for processing and preparing additional 'Twitter' metadata. 'tidytags' also introduces functions developed to facilitate systematic yet flexible analyses of data from 'Twitter'.
Author: K. Bret Staudt Willet [aut, cre] , Joshua M. Rosenberg [aut] , Lluis Revilla Sancho [rev] , Marion Louveaux [rev]
Maintainer: K. Bret Staudt Willet <bret.staudtwillet@fsu.edu>

Diff between tidytags versions 1.0.3 dated 2022-10-18 and 1.1.0 dated 2022-11-18

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Package Seurat updated to version 4.3.0 with previous version 4.2.1 dated 2022-11-07

Title: Tools for Single Cell Genomics
Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
Author: Andrew Butler [ctb] , Saket Choudhary [ctb] , Charlotte Darby [ctb] , Jeff Farrell [ctb], Christoph Hafemeister [ctb] , Yuhan Hao [ctb] , Austin Hartman [ctb] , Paul Hoffman [aut, cre] , Jaison Jain [ctb] , Madeline Kowalski [ctb] , Efthymia Papalexi [...truncated...]
Maintainer: Paul Hoffman <seurat@nygenome.org>

Diff between Seurat versions 4.2.1 dated 2022-11-07 and 4.3.0 dated 2022-11-18

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Package mlr3tuning updated to version 0.17.0 with previous version 0.16.0 dated 2022-11-08

Title: Hyperparameter Optimization for 'mlr3'
Description: Hyperparameter optimization package of the mlr3 ecosystem. It features highly configurable search spaces via the paradox package and finds optimal hyperparameter configurations for any mlr3 learner. mlr3tuning works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in mlr3mbo) and Hyperband (in mlr3hyperband). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.
Author: Marc Becker [cre, aut] , Michel Lang [aut] , Jakob Richter [aut] , Bernd Bischl [aut] , Daniel Schalk [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3tuning versions 0.16.0 dated 2022-11-08 and 0.17.0 dated 2022-11-18

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New package mcmcabn with initial version 0.5
Package: mcmcabn
Title: Flexible Implementation of a Structural MCMC Sampler for DAGs
Version: 0.5
Date: 2022-11-17
Maintainer: Annina Cincera <annina.cincera@math.uzh.ch>
Description: Flexible implementation of a structural MCMC sampler for Directed Acyclic Graphs (DAGs). It supports the new edge reversal move from Grzegorczyk and Husmeier (2008) <doi:10.1007/s10994-008-5057-7> and the Markov blanket resampling from Su and Borsuk (2016) <https://jmlr.org/papers/v17/su16a.html>. It supports three priors: a prior controlling for structure complexity from Koivisto and Sood (2004) <https://dl.acm.org/doi/10.5555/1005332.1005352>, an uninformative prior and a user-defined prior. The three main problems that can be addressed by this R package are selecting the most probable structure based on a cache of pre-computed scores, controlling for overfitting, and sampling the landscape of high scoring structures. It allows us to quantify the marginal impact of relationships of interest by marginalizing out over structures or nuisance dependencies. Structural MCMC seems an elegant and natural way to estimate the true marginal impact, so one can determine if it's [...truncated...]
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: abn, coda, gRbase, ggplot2, cowplot, ggpubr
Suggests: bnlearn, knitr, rmarkdown, ggdag, testthat
VignetteBuilder: knitr
URL: https://www.math.uzh.ch/pages/mcmcabn/
BugReports: https://git.math.uzh.ch/gkratz/mcmcabn/-/issues
NeedsCompilation: no
Packaged: 2022-11-17 11:06:03 UTC; acince
Author: Gilles Kratzer [aut] , Reinhard Furrer [ctb] , Annina Cincera [cre]
Repository: CRAN
Date/Publication: 2022-11-18 23:30:02 UTC

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Package iapws updated to version 1.1 with previous version 1.0 dated 2022-10-03

Title: Formulations of the International Association for the Properties of Water and Steam
Description: Implementation of some of the formulations for the thermodynamic and transport properties released by the International Association for the Properties of Water and Steam (IAPWS). More specifically, the releases R1-76(2014), R5-85(1994), R6-95(2018), R7-97(2012), R8-97, R9-97, R10-06(2009), R11-07(2019), R12-08, R15-11, R16-17(2018), R17-20 and R18-21 at <http://iapws.org>.
Author: Jonathan Debove [aut, cre]
Maintainer: Jonathan Debove <jondebove@gmail.com>

Diff between iapws versions 1.0 dated 2022-10-03 and 1.1 dated 2022-11-18

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Package Hmisc updated to version 4.7-2 with previous version 4.7-1 dated 2022-08-15

Title: Harrell Miscellaneous
Description: Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, simulation, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, and recoding variables.
Author: Frank E Harrell Jr [aut, cre] , Charles Dupont [ctb]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

Diff between Hmisc versions 4.7-1 dated 2022-08-15 and 4.7-2 dated 2022-11-18

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Package fhircrackr updated to version 2.1.0 with previous version 2.0.0 dated 2022-07-14

Title: Handling HL7 FHIR Resources in R
Description: Useful tools for conveniently downloading FHIR resources in xml format and converting them to R data.frames. The package uses FHIR-search to download bundles from a FHIR server, provides functions to save and read xml-files containing such bundles and allows flattening the bundles to data.frames using XPath expressions.
Author: Thomas Peschel [aut], Julia Palm [aut, cre] , Jens Przybilla [aut], Frank Meineke [aut]
Maintainer: Julia Palm <julia.palm@med.uni-jena.de>

Diff between fhircrackr versions 2.0.0 dated 2022-07-14 and 2.1.0 dated 2022-11-18

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Package eatRep updated to version 0.14.6 with previous version 0.14.5 dated 2022-07-08

Title: Educational Assessment Tools for Replication Methods
Description: Replication methods to compute some basic statistic operations (means, standard deviations, frequency tables, percentiles and generalized linear models) in complex survey designs comprising multiple imputed variables and/or a clustered sampling structure which both deserve special procedures at least in estimating standard errors. See the package documentation for a more detailed description along with references.
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Karoline Sachse [aut], Benjamin Becker [aut]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>

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Package ARDL updated to version 0.2.1 with previous version 0.2.0 dated 2022-06-29

Title: ARDL, ECM and Bounds-Test for Cointegration
Description: Creates complex autoregressive distributed lag (ARDL) models and constructs the underlying unrestricted and restricted error correction model (ECM) automatically, just by providing the order. It also performs the bounds-test for cointegration as described in Pesaran et al. (2001) <doi:10.1002/jae.616> and provides the multipliers and the cointegrating equation. The validity and the accuracy of this package have been verified by successfully replicating the results of Pesaran et al. (2001) in Natsiopoulos and Tzeremes (2022) <doi:10.1002/jae.2919>.
Author: Kleanthis Natsiopoulos [aut, cre] , Nickolaos Tzeremes [aut]
Maintainer: Kleanthis Natsiopoulos <klnatsio@gmail.com>

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Package ggblanket updated to version 1.6.1 with previous version 1.6.0 dated 2022-11-18

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

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Package extRemes updated to version 2.1-3 with previous version 2.1-2 dated 2022-05-03

Title: Extreme Value Analysis
Description: General functions for performing extreme value analysis. In particular, allows for inclusion of covariates into the parameters of the extreme-value distributions, as well as estimation through MLE, L-moments, generalized (penalized) MLE (GMLE), as well as Bayes. Inference methods include parametric normal approximation, profile-likelihood, Bayes, and bootstrapping. Some bivariate functionality and dependence checking (e.g., auto-tail dependence function plot, extremal index estimation) is also included. For a tutorial, see Gilleland and Katz (2016) <doi: 10.18637/jss.v072.i08> and for bootstrapping, please see Gilleland (2020) <doi: 10.1175/JTECH-D-20-0070.1>.
Author: Eric Gilleland
Maintainer: Eric Gilleland <ericg@ucar.edu>

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Package tardis updated to version 0.1.4 with previous version 0.1.3 dated 2022-09-30

Title: Text Analysis with Rules and Dictionaries for Inferring Sentiment
Description: Measure text's sentiment with dictionaries and simple rules covering negations and modifiers. User-supplied dictionaries are supported, including Unicode emojis and multi-word tokens, so this package can also be used to study constructs beyond sentiment.
Author: Christopher Belanger [aut, cre, cph]
Maintainer: Christopher Belanger <christopher.a.belanger@gmail.com>

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Package rr2 updated to version 1.1.0 with previous version 1.0.2 dated 2019-05-09

Title: R2s for Regression Models
Description: Three methods to calculate R2 for models with correlated errors, including Phylogenetic GLS, Phylogenetic Logistic Regression, Linear Mixed Models (LMMs), and Generalized Linear Mixed Models (GLMMs). See details in Ives 2018 <doi:10.1093/sysbio/syy060>.
Author: Anthony Ives [aut, cre], Daijiang Li [ctb]
Maintainer: Anthony Ives <arives@wisc.edu>

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Package happign updated to version 0.1.7 with previous version 0.1.6 dated 2022-09-16

Title: R Interface to 'IGN' Web Services
Description: Interface to easily access the National Institute of Geographic and Forestry Information open-source data from Geoservice website for any area of interest in France via WFS (shapefile) and WMS (raster) web services <https://geoservices.ign.fr/services-web-experts>.
Author: Paul Carteron [aut, cre]
Maintainer: Paul Carteron <carteronpaul@gmail.com>

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Package pagoo updated to version 0.3.17 with previous version 0.3.13 dated 2022-08-31

Title: Analyze Bacterial Pangenomes in R with 'Pagoo'
Description: Provides an encapsulated, object-oriented class system for analyzing bacterial pangenomes. For a definition of this concept, see Tettelin, et al. (2005) <doi:10.1073/pnas.0506758102>. It uses the R6 package as backend. It was designed in order to facilitate and speed-up the comparative analysis of multiple bacterial genomes, standardizing and optimizing routine tasks performed everyday. There are a handful of things done everyday when working with bacterial pangenomes: subset, summarize, extract, visualize and store data. So, 'pagoo' is intended to facilitate these tasks as much as possible. For a description of the implemented data structure and methods, see Ferres & Iraola (2020), <doi:10.1101/2020.07.29.226951>.
Author: Ignacio Ferres [aut, cre] , Gregorio Iraola [aut] , Institut Pasteur de Montevideo [fnd]
Maintainer: Ignacio Ferres <iferres@pasteur.edu.uy>

Diff between pagoo versions 0.3.13 dated 2022-08-31 and 0.3.17 dated 2022-11-18

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Package shinydlplot updated to version 0.1.4 with previous version 0.1.3 dated 2020-12-03

Title: Add a Download Button to a 'shiny' Plot or 'plotly'
Description: Add a download button to a 'shiny' plot or 'plotly' that appears when the plot is hovered. A tooltip, styled to resemble 'plotly' buttons, is displayed on hover of the download button. The download button can be used to allow users to download the dataset used for a plot.
Author: Alex Pickering
Maintainer: Alex Pickering <alexvpickering@gmail.com>

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Package remiod updated to version 1.0.2 with previous version 1.0.1 dated 2022-09-05

Title: Reference-Based Multiple Imputation for Ordinal/Binary Response
Description: Reference-based multiple imputation of ordinal and binary responses under Bayesian framework, as described in Wang and Liu (2022) <arXiv:2203.02771>. Methods for missing-not-at-random include Jump-to-Reference (J2R), Copy Reference (CR), and Delta Adjustment which can generate tipping point analysis.
Author: Ying Liu [aut], Tony Wang [aut, cre]
Maintainer: Tony Wang <xwang@imedacs.com>

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New package rciplot with initial version 0.1.0
Package: rciplot
Title: Plot Jacobson-Truax Reliable Change Indices
Version: 0.1.0
Description: The concept of reliable and clinically significant change (Jacobson & Truax, 1991) helps you answer the following questions for a sample with two measurements at different points in time (pre & post): Which proportion of my sample has a (considering the reliability of the instrument) probably not-just-by-chance difference in pre- vs. post-scores? Which proportion of my sample does not only change in a statistically significant way (see question one), but also in a clinically significant way (e.g. change from a test score regarded "dysfunctional" to a score regarded "functional")? This package allows you to very easily create a scatterplot of your sample in which the x-axis maps to the pre-scores, the y-axis maps to the post-scores and several graphical elements (lines, colors) allow you to gain a quick overview about reliable changes in these scores. An example of this kind of plot is Figure 2 of Jacobson & Truax (1991). Referenced article: Jacobson, N. S., & Truax, P. [...truncated...]
License: MIT + file LICENSE
URL: https://gitlab.com/REDS1736/rciplot
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, stats, tibble
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-11-17 16:55:28 UTC; max
Author: Maximilian Hagspiel [aut, cre, cph]
Maintainer: Maximilian Hagspiel <maxhag@mailbox.org>
Repository: CRAN
Date/Publication: 2022-11-18 17:10:02 UTC

More information about rciplot at CRAN
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Package inTextSummaryTable updated to version 3.2.1 with previous version 3.2.0 dated 2022-10-01

Title: Creation of in-Text Summary Table
Description: Creation of tables of summary statistics or counts for clinical data (for 'TLFs'). These tables can be exported as in-text table (with the 'flextable' package) for a Clinical Study Report (Word format) or a 'topline' presentation (PowerPoint format), or as interactive table (with the 'DT' package) to an html document for clinical data review.
Author: Laure Cougnaud [aut, cre], Michela Pasetto [aut], Margaux Faes [rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

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Package patientProfilesVis updated to version 2.0.5 with previous version 2.0.2 dated 2021-09-28

Title: Visualization of Patient Profiles
Description: Creation of patient profile visualizations for exploration, diagnostic or monitoring purposes during a clinical trial. These static visualizations display a patient-specific overview of the evolution during the trial time frame of parameters of interest (as laboratory, ECG, vital signs), presence of adverse events, exposure to a treatment; associated with metadata patient information, as demography, concomitant medication. The visualizations can be tailored for specific domain(s) or endpoint(s) of interest. Visualizations are exported into patient profile report(s) or can be embedded in custom report(s).
Author: Laure Cougnaud [aut, cre], Margaux Faes [rev] , Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

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Package optedr updated to version 2.0.0 with previous version 1.0.1 dated 2022-01-20

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

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Package jsonStrings updated to version 2.1.1 with previous version 2.1.0 dated 2022-10-17

Title: Manipulation of JSON Strings
Description: Fast manipulation of JSON strings. Allows to extract or delete an element in a JSON string, merge two JSON strings, and more.
Author: Stephane Laurent [aut, cre], Niels Lohmann [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package contingency updated to version 0.0.10 with previous version 0.0.9 dated 2022-11-15

Title: Discrete Multivariate Probability Distributions
Description: Provides an object class for dealing with many multivariate probability distributions at once, useful for simulation.
Author: Robin Evans [aut, cre]
Maintainer: Robin Evans <evans@stats.ox.ac.uk>

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Package yfR updated to version 1.0.4 with previous version 1.0.3 dated 2022-10-31

Title: Downloads and Organizes Financial Data from Yahoo Finance
Description: Facilitates download of financial data from Yahoo Finance <https://finance.yahoo.com/>, a vast repository of stock price data across multiple financial exchanges. The package offers a local caching system and support for parallel computation.
Author: Marcelo Perlin [aut, cre], Nic Crane [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/523>), Alexander Fischer [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/523>)
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package startR updated to version 2.2.1 with previous version 2.2.0 dated 2022-02-15

Title: Automatically Retrieve Multidimensional Distributed Data Sets
Description: Tool to automatically fetch, transform and arrange subsets of multi- dimensional data sets (collections of files) stored in local and/or remote file systems or servers, using multicore capabilities where possible. The tool provides an interface to perceive a collection of data sets as a single large multidimensional data array, and enables the user to request for automatic retrieval, processing and arrangement of subsets of the large array. Wrapper functions to add support for custom file formats can be plugged in/out, making the tool suitable for any research field where large multidimensional data sets are involved.
Author: Nicolau Manubens [aut], An-Chi Ho [aut, cre], Nuria Perez-Zanon [aut] , Javier Vegas [ctb], Pierre-Antoine Bretonniere [ctb], Roberto Serrano [ctb], Eva Rifa [ctb], BSC-CNS [aut, cph]
Maintainer: An-Chi Ho <an.ho@bsc.es>

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Package spaMM updated to version 4.1.0 with previous version 4.0.0 dated 2022-10-20

Title: Mixed-Effect Models, with or without Spatial Random Effects
Description: Inference based on models with or without spatially-correlated random effects, multivariate responses, or non-Gaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model. Both classical geostatistical models (Rousset and Ferdy 2014 <doi:10.1111/ecog.00566>), and Markov random field models on irregular grids (as considered in the 'INLA' package, <https://www.r-inla.org>), can be fitted, with distinct computational procedures exploiting the sparse matrix representations for the latter case and other autoregressive models. Laplace approximations are used for likelihood or restricted likelihood. Penalized quasi-likelihood and other variants discussed in the h-likelihood literature (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>) are also implemented.
Author: Francois Rousset [aut, cre, cph] , Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

Diff between spaMM versions 4.0.0 dated 2022-10-20 and 4.1.0 dated 2022-11-18

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Package shinylight updated to version 1.1 with previous version 1.0.0 dated 2022-10-18

Title: Web Interface to 'R' Functions
Description: Web front end for your 'R' functions producing plots or tables. If you have a function or set of related functions, you can make them available over the internet through a web browser. This is the same motivation as the 'shiny' package, but note that the development of 'shinylight' is not in any way linked to that of 'shiny' (beyond the use of the 'httpuv' package). You might prefer 'shinylight' to 'shiny' if you want a lighter weight deployment with easier horizontal scaling, or if you want to develop your front end yourself in JavaScript and HTML just using a lightweight remote procedure call interface to your R code on the server.
Author: Pieter Vermeesch [aut], Tim Band [aut, cre]
Maintainer: Tim Band <t.band@ucl.ac.uk>

Diff between shinylight versions 1.0.0 dated 2022-10-18 and 1.1 dated 2022-11-18

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Package rhierbaps updated to version 1.1.4 with previous version 1.1.3 dated 2019-12-11

Title: Clustering Genetic Sequence Data Using the HierBAPS Algorithm
Description: Implements the hierarchical Bayesian analysis of populations structure (hierBAPS) algorithm of Cheng et al. (2013) <doi:10.1093/molbev/mst028> for clustering DNA sequences from multiple sequence alignments in FASTA format. The implementation includes improved defaults and plotting capabilities and unlike the original 'MATLAB' version removes singleton SNPs by default.
Author: Gerry Tonkin-Hill [cre, aut]
Maintainer: Gerry Tonkin-Hill <g.tonkinhill@gmail.com>

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Package NMF updated to version 0.25 with previous version 0.24.0 dated 2022-03-29

Title: Algorithms and Framework for Nonnegative Matrix Factorization (NMF)
Description: Provides a framework to perform Non-negative Matrix Factorization (NMF). The package implements a set of already published algorithms and seeding methods, and provides a framework to test, develop and plug new/custom algorithms. Most of the built-in algorithms have been optimized in C++, and the main interface function provides an easy way of performing parallel computations on multicore machines.
Author: Renaud Gaujoux, Cathal Seoighe
Maintainer: Nicolas Sauwen <nicolas.sauwen@openanalytics.eu>

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Package matrixStats updated to version 0.63.0 with previous version 0.62.0 dated 2022-04-19

Title: Functions that Apply to Rows and Columns of Matrices (and to Vectors)
Description: High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
Author: Henrik Bengtsson [aut, cre, cph], Constantin Ahlmann-Eltze [ctb], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Jan Gleixner [ctb], Peter Hickey [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb], Brian M [...truncated...]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package gamlss updated to version 5.4-10 with previous version 5.4-3 dated 2022-04-23

Title: Generalised Additive Models for Location Scale and Shape
Description: Functions for fitting the Generalized Additive Models for Location Scale and Shape introduced by Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The models use a distributional regression approach where all the parameters of the conditional distribution of the response variable are modelled using explanatory variables.
Author: Mikis Stasinopoulos [aut, cre, cph], Bob Rigby [aut], Vlasios Voudouris [ctb], Calliope Akantziliotou [ctb], Marco Enea [ctb], Daniil Kiose [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

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Package fuj updated to version 0.1.1 with previous version 0.1.0 dated 2022-11-01

Title: Functions and Utilities for Jordan
Description: Provides core functions and utilities for packages and other code developed by Jordan Mark Barbone.
Author: Jordan Mark Barbone [aut, cph, cre]
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>

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Package fastWavelets updated to version 1.0.1 with previous version 1.0.0 dated 2022-10-27

Title: Compute Maximal Overlap Discrete Wavelet Transform (MODWT) and À Trous Discrete Wavelet Transform
Description: A lightweight package to compute Maximal Overlap Discrete Wavelet Transform (MODWT) and À Trous Discrete Wavelet Transform by leveraging the power of 'Rcpp' to make these operations fast. This package was designed for use in forecasting, and allows users avoid the inclusion of future data when performing wavelet decomposition of time series. See Quilty and Adamowski (2018) <doi:10.1016/j.jhydrol.2018.05.003>.
Author: John Quilty [aut] , John You [aut, cre]
Maintainer: John You <johnswyou@gmail.com>

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Package CORElearn updated to version 1.57.3 with previous version 1.57.2 dated 2022-11-16

Title: Classification, Regression and Feature Evaluation
Description: A suite of machine learning algorithms written in C++ with the R interface contains several learning techniques for classification and regression. Predictive models include e.g., classification and regression trees with optional constructive induction and models in the leaves, random forests, kNN, naive Bayes, and locally weighted regression. All predictions obtained with these models can be explained and visualized with the 'ExplainPrediction' package. This package is especially strong in feature evaluation where it contains several variants of Relief algorithm and many impurity based attribute evaluation functions, e.g., Gini, information gain, MDL, and DKM. These methods can be used for feature selection or discretization of numeric attributes. The OrdEval algorithm and its visualization is used for evaluation of data sets with ordinal features and class, enabling analysis according to the Kano model of customer satisfaction. Several algorithms support parallel multithreaded executi [...truncated...]
Author: Marko Robnik-Sikonja and Petr Savicky
Maintainer: "Marko Robnik-Sikonja" <marko.robnik@fri.uni-lj.si>

Diff between CORElearn versions 1.57.2 dated 2022-11-16 and 1.57.3 dated 2022-11-18

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Package atom4R updated to version 0.3-3 with previous version 0.3-2 dated 2022-11-07

Title: Tools to Handle and Publish Metadata as 'Atom' XML Format
Description: Provides tools to read/write/publish metadata based on the 'Atom' XML syndication format. This includes support of 'Dublin Core' XML implementation, and a client to API(s) implementing the 'AtomPub' 'SWORD' API specification.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between atom4R versions 0.3-2 dated 2022-11-07 and 0.3-3 dated 2022-11-18

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Package antaresViz updated to version 0.17.1 with previous version 0.17 dated 2021-11-24

Title: Antares Visualizations
Description: Visualize results generated by Antares, a powerful open source software developed by RTE to simulate and study electric power systems (more information about 'Antares' here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). This package provides functions that create interactive charts to help 'Antares' users visually explore the results of their simulations.
Author: Veronique Bachelier [aut, cre], Jalal-Edine Zawam [aut], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Paul Plessiez [aut], Baptiste Seguinot [ctb], RTE [cph]
Maintainer: Veronique Bachelier <veronique.bachelier@rte-france.com>

Diff between antaresViz versions 0.17 dated 2021-11-24 and 0.17.1 dated 2022-11-18

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Package RNiftyReg updated to version 2.7.1 with previous version 2.7.0 dated 2020-09-12

Title: Image Registration Using the 'NiftyReg' Library
Description: Provides an 'R' interface to the 'NiftyReg' image registration tools <https://github.com/KCL-BMEIS/niftyreg>. Linear and nonlinear registration are supported, in two and three dimensions.
Author: Jon Clayden [cre, aut] , Marc Modat [aut], Benoit Presles [aut], Thanasis Anthopoulos [aut], Pankaj Daga [aut]
Maintainer: Jon Clayden <code@clayden.org>

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Package kernelshap updated to version 0.3.1 with previous version 0.3.0 dated 2022-09-29

Title: Kernel SHAP
Description: Multidimensional refinement of the Kernel SHAP algorithm described in Ian Covert and Su-In Lee (2021) <http://proceedings.mlr.press/v130/covert21a>. The package allows to calculate Kernel SHAP values in an exact way, by iterative sampling (as in the reference above), or by a hybrid of the two. As soon as sampling is involved, the algorithm iterates until convergence, and standard errors are provided. The package works with any model that provides numeric predictions of dimension one or higher. Examples include linear regression, logistic regression (on logit or probability scale), other generalized linear models, generalized additive models, and neural networks. The package plays well together with meta-learning packages like 'tidymodels', 'caret' or 'mlr3'. Visualizations can be done using the R package 'shapviz'.
Author: Michael Mayer [aut, cre], David Watson [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between kernelshap versions 0.3.0 dated 2022-09-29 and 0.3.1 dated 2022-11-18

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Package compareGroups updated to version 4.6.0 with previous version 4.5.1 dated 2021-03-29

Title: Descriptive Analysis by Groups
Description: Create data summaries for quality control, extensive reports for exploring data, as well as publication-ready univariate or bivariate tables in several formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figures to quickly visualise the distribution of your data (boxplots, barplots, normality-plots, etc.). Display statistics (mean, median, frequencies, incidences, etc.). Perform the appropriate tests (t-test, Analysis of variance, Kruskal-Wallis, Fisher, log-rank, ...) depending on the nature of the described variable (normal, non-normal or qualitative). Summarize genetic data (Single Nucleotide Polymorphisms) data displaying Allele Frequencies and performing Hardy-Weinberg Equilibrium tests among other typical statistics and tests for these kind of data.
Author: Isaac Subirana [aut, cre] , Joan Salvador [ctb]
Maintainer: Isaac Subirana <isubirana@imim.es>

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Package terra updated to version 1.6-41 with previous version 1.6-17 dated 2022-09-10

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include standard operations such as intersect and buffer. Raster methods include global, local, zonal, and focal computations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is a replacement for the 'raster' package ('terra' can do more, and it is faster and easier to use).
Author: Robert J. Hijmans [cre, aut] , Roger Bivand [ctb] , Edzer Pebesma [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.6-17 dated 2022-09-10 and 1.6-41 dated 2022-11-18

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Package stevedata updated to version 0.8.0 with previous version 0.7.0 dated 2022-04-02

Title: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Description: This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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Package RSocrata updated to version 1.7.12-4 with previous version 1.7.11-2 dated 2021-09-14

Title: Download or Upload 'Socrata' Data Sets
Description: Provides easier interaction with 'Socrata' open data portals <https://dev.socrata.com>. Users can provide a 'Socrata' data set resource URL, or a 'Socrata' Open Data API (SoDA) web query, or a 'Socrata' "human-friendly" URL, returns an R data frame. Converts dates to 'POSIX' format and manages throttling by 'Socrata'. Users can upload data to 'Socrata' portals directly from R.
Author: Hugh Devlin, Ph. D., Tom Schenk, Jr., Gene Leynes, Nick Lucius, John Malc, Mark Silverberg, and Peter Schmeideskamp
Maintainer: "Tom Schenk Jr." <developers@cityofchicago.org>

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Package qualtRics updated to version 3.1.7 with previous version 3.1.6 dated 2022-06-06

Title: Download 'Qualtrics' Survey Data
Description: Provides functions to access survey results directly into R using the 'Qualtrics' API. 'Qualtrics' <https://www.qualtrics.com/about/> is an online survey and data collection software platform. See <https://api.qualtrics.com/> for more information about the 'Qualtrics' API. This package is community-maintained and is not officially supported by 'Qualtrics'.
Author: Jasper Ginn [aut], Jackson Curtis [ctb], Shaun Jackson [ctb], Samuel Kaminsky [ctb], Eric Knudsen [ctb], Joseph O'Brien [aut], Daniel Seneca [ctb], Julia Silge [aut, cre] , Phoebe Wong [ctb]
Maintainer: Julia Silge <julia.silge@gmail.com>

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Package occTest updated to version 0.1.1 with previous version 0.1 dated 2022-10-10

Title: Characterizing and Filtering Species Occurrence Data
Description: Perform multiple tests for potential errors in species occurrence data and filter, and filter data according to users specifications.
Author: Josep M Serra-Diaz [aut, cre], Cory Merow [aut, ctb] , Jeremy Borderieux [aut, ctb] , Brian Maitner [aut, ctb]
Maintainer: Josep M Serra-Diaz <pep.agroparistech@gmail.com>

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Package knitr updated to version 1.41 with previous version 1.40 dated 2022-08-24

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] , Abhraneel Sarma [ctb], Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Amar Al-Zubaidi [ctb], Andre Simon [ctb] , Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] , Ben Baumer [ctb], [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package globalKinhom updated to version 0.1.5 with previous version 0.1.4 dated 2022-02-25

Title: Inhomogeneous K- And Pair Correlation Functions Using Global Estimators
Description: Second-order summary statistics K- and pair-correlation functions describe interactions in point pattern data. This package provides computations to estimate those statistics on inhomogeneous point processes, using the methods of in T Shaw, J Møller, R Waagepetersen, 2020 <arXiv:2004.00527>.
Author: Thomas Shaw [aut, cre], Ege Rubak [ctb], Adrian Baddeley [ctb], Rolf Turner [ctb]
Maintainer: Thomas Shaw <shawtr@umich.edu>

Diff between globalKinhom versions 0.1.4 dated 2022-02-25 and 0.1.5 dated 2022-11-18

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Package ctbi updated to version 2.0.4 with previous version 1.0.1 dated 2022-03-09

Title: A Procedure to Clean, Decompose and Aggregate Timeseries
Description: Clean, decompose and aggregate univariate time series following the procedure "Cyclic/trend decomposition using bin interpolation" and the Logbox method for flagging outliers, both detailed in Ritter, F.: Technical note: A procedure to clean, decompose and aggregate time series, Hydrol. Earth Syst. Sci. Discuss. [preprint], <doi:10.5194/hess-2021-609>, in review.
Author: Francois Ritter [cre, aut]
Maintainer: Francois Ritter <ritter.francois@gmail.com>

Diff between ctbi versions 1.0.1 dated 2022-03-09 and 2.0.4 dated 2022-11-18

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Package ClimProjDiags updated to version 0.2.0 with previous version 0.1.3 dated 2021-11-03

Title: Set of Tools to Compute Various Climate Indices
Description: Set of tools to compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices.
Author: BSC-CNS [aut, cph], Nuria Perez-Zanon [aut] , An-Chi Ho [cre, ctb], Nicolau Manubens [ctb], Alasdair Hunter [aut], Louis-Philippe Caron [ctb], Eva Rifa [ctb]
Maintainer: An-Chi Ho <an.ho@bsc.es>

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Package BTSR updated to version 0.1.2 with previous version 0.1.1 dated 2022-11-13

Title: Bounded Time Series Regression
Description: Simulate, estimate and forecast a wide range of regression based dynamic models for bounded time series, covering the most commonly applied models in the literature. The main calculations are done in 'FORTRAN', which translates into very fast algorithms. The main references are Bayer et al. (2017) <doi:10.1016/j.jhydrol.2017.10.006>, Pumi et al. (2019) <doi:10.1016/j.jspi.2018.10.001>, Pumi et al. (2021) <doi:10.1111/sjos.12439> and Pumi et al. (2022) <arXiv:2211.02097>.
Author: Taiane Schaedler Prass [aut, cre, com] , Guilherme Pumi [ctb, aut] , Fabio Mariano Bayer [ctb] , Jack Joseph Dongarra [ctb], Cleve Moler [ctb], Gilbert Wright Stewart [ctb], Ciyou Zhu [ctb], Richard H. Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Moral [...truncated...]
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>

Diff between BTSR versions 0.1.1 dated 2022-11-13 and 0.1.2 dated 2022-11-18

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Package asbio updated to version 1.8-3 with previous version 1.8-2 dated 2022-08-25

Title: A Collection of Statistical Tools for Biologists
Description: Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R. CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.
Author: Ken Aho
Maintainer: Ken Aho <kenaho1@gmail.com>

Diff between asbio versions 1.8-2 dated 2022-08-25 and 1.8-3 dated 2022-11-18

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Package shinySelect updated to version 1.3.0 with previous version 1.2.0 dated 2022-10-21

Title: A Wrapper of the 'react-select' Library
Description: Provides a select control widget for 'Shiny'. It is easily customizable, and one can easily use HTML in the items and KaTeX to type mathematics.
Author: Stephane Laurent [aut, cre], Jed Watson [cph] , Clauderic Demers [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between shinySelect versions 1.2.0 dated 2022-10-21 and 1.3.0 dated 2022-11-18

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New package mlr3mbo with initial version 0.1.1
Package: mlr3mbo
Title: Flexible Bayesian Optimization
Version: 0.1.1
Description: A modern and flexible approach to Bayesian Optimization / Model Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox providing both ready-to-use optimization algorithms as well as their fundamental building blocks allowing for straightforward implementation of custom algorithms. Single- and multi-objective optimization is supported as well as mixed continuous, categorical and conditional search spaces. Moreover, using 'mlr3mbo' for hyperparameter optimization of machine learning models within the 'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use optimization algorithms include Efficient Global Optimization by Jones et al. (1998) <doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006) <doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008) <doi:10.1007/978-3-540-87700-4_78>.
License: LGPL-3
URL: https://mlr3mbo.mlr-org.com, https://github.com/mlr-org/mlr3mbo
BugReports: https://github.com/mlr-org/mlr3mbo/issues
Depends: mlr3tuning (>= 0.14.0), R (>= 3.1.0)
Imports: bbotk (>= 0.5.4), checkmate (>= 2.0.0), data.table, lgr (>= 0.3.4), mlr3 (>= 0.14.0), mlr3misc (>= 0.11.0), paradox (>= 0.10.0), R6 (>= 2.4.1)
Suggests: DiceKriging, knitr, lhs, mlr3learners (>= 0.5.4), mlr3pipelines (>= 0.4.2), nloptr, ranger, rgenoud, rmarkdown, rpart, spacefillr, stringi, testthat (>= 3.0.0),
ByteCompile: no
Encoding: UTF-8
Config/testthat/parallel: false
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2022-11-17 10:29:58 UTC; lps
Author: Lennart Schneider [cre, aut] , Jakob Richter [aut] , Marc Becker [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Florian Pfisterer [aut] , Martin Binder [aut], Sebastian Fischer [aut] , Michael H. Buselli [cph], Wessel Dankers [cph], Carlos Fonseca [...truncated...]
Maintainer: Lennart Schneider <lennart.sch@web.de>
Repository: CRAN
Date/Publication: 2022-11-18 10:40:02 UTC

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New package imprinting with initial version 0.1.0
Package: imprinting
Title: Calculate Birth Year-Specific Probabilities of Immune Imprinting to Influenza
Version: 0.1.0
Description: Reconstruct birth-year specific probabilities of immune imprinting to influenza A, using the methods of Gostic et al. (2016) <doi:10.1126/science.aag1322>. Plot, save, or export the calculated probabilities for use in your own research. By default, the package calculates subtype-specific imprinting probabilities, but with user-provided frequency data, it is possible to calculate probabilities for arbitrary kinds of primary exposure to influenza A, including primary vaccination and exposure to specific clades, strains, etc.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.0.9), tidyr (>= 1.2.0), cowplot (>= 1.0.0), ggplot2, tidyselect
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), devtools
VignetteBuilder: knitr
URL: https://cobeylab.github.io/imprinting/
BugReports: https://github.com/cobeylab/imprinting/issues
NeedsCompilation: no
Packaged: 2022-11-17 22:16:03 UTC; alex
Author: Katelyn Gostic [aut], Alex Byrnes [ctb, cre]
Maintainer: Alex Byrnes <abyrnes@uchicago.edu>
Repository: CRAN
Date/Publication: 2022-11-18 10:20:02 UTC

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New package hspm with initial version 1.0-0
Package: hspm
Title: Heterogeneous Spatial Models
Date: 2022-11-14
Version: 1.0-0
Maintainer: Gianfranco Piras <gpiras@mac.com>
Description: Spatial heterogeneity can be specified in various ways. 'hspm' is an ambitious project that aims at implementing various methodologies to control for heterogeneity in spatial models. The current version of 'hspm' deals with spatial and (non-spatial) regimes models. In particular, the package allows to estimate a general spatial regimes model with additional endogenous variables, specified in terms of a spatial lag of the dependent variable, the spatially lagged regressors, and, potentially, a spatially autocorrelated error term. Spatial regime models are estimated by instrumental variables and generalized methods of moments (see Arraiz et al., (2010) <doi:10.1111/j.1467-9787.2009.00618.x>, Bivand and Piras, (2015) <doi:10.18637/jss.v063.i18>, Drukker et al., (2013) <doi:10.1080/07474938.2013.741020>, Kelejian and Prucha, (2010) <doi:10.1016/j.jeconom.2009.10.025>).
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: Formula, sphet, stats, spdep, Matrix
Suggests: splm
License: GPL (>= 2)
URL: https://github.com/gpiras/hspm
BugReports: https://github.com/gpiras/hspm/issues
NeedsCompilation: no
Packaged: 2022-11-17 14:01:39 UTC; gpiras
Author: Gianfranco Piras [aut, cre] , Mauricio Sarrias [aut]
Repository: CRAN
Date/Publication: 2022-11-18 10:50:02 UTC

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New package xpectr with initial version 0.4.3
Package: xpectr
Title: Generates Expectations for 'testthat' Unit Testing
Version: 0.4.3
Description: Helps systematize and ease the process of building unit tests with the 'testthat' package by providing tools for generating expectations.
License: MIT + file LICENSE
URL: https://github.com/ludvigolsen/xpectr
BugReports: https://github.com/ludvigolsen/xpectr/issues
Depends: R (>= 3.5.0)
Imports: clipr (>= 0.7.0), checkmate (>= 2.0.0), dplyr, fansi (>= 0.4.1), lifecycle, plyr, rlang, rstudioapi (>= 0.10), stats, testthat (>= 2.3.1), tibble, utils, withr (>= 2.0.0)
Suggests: data.table, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-17 15:43:45 UTC; au547627
Author: Ludvig Renbo Olsen [aut, cre], R. Mark Sharp [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>
Repository: CRAN
Date/Publication: 2022-11-18 09:50:02 UTC

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New package stepmixr with initial version 0.1.0
Note: -*- Encoding: utf-8 -*-
Package: stepmixr
Title: Interface to 'Python' Package 'stepmix'
Version: 0.1.0
Date: 2022-10-28
Author: Charles-Édouard Giguere [aut, cre], Sacha Morin [aut], Robin Legault [aut]
Maintainer: Charles-Édouard Giguere <ce.giguere@gmail.com>
Depends: R (>= 4.0.0)
Imports: reticulate (>= 1.8)
Description: This is an interface for the 'python' package 'stepmix'. This is a package multi-step estimation of latent class models with measurement and structural components. The package can also be used to fit mixture models with various observed random variables. Largely based on Bakk & Kuha (2018) <doi:10.1007/s11336-017-9592-7>.
License: GPL-2
Encoding: UTF-8
LazyLoad: TRUE
URL: https://github.com/Labo-Lacourse/stepmixr
NeedsCompilation: no
Packaged: 2022-11-17 16:39:19 UTC; gigc2
Repository: CRAN
Date/Publication: 2022-11-18 10:00:02 UTC

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Package insight updated to version 0.18.7 with previous version 0.18.6 dated 2022-10-23

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut] , Vincent Arel-Bundock [aut, ctb] , Alex Hayes [rev] , Grant McDermott [ [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between insight versions 0.18.6 dated 2022-10-23 and 0.18.7 dated 2022-11-18

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 tests/testthat/test-logitr.R             |    3 
 tests/testthat/test-metaBMA.R            |    4 
 tests/testthat/test-object_has_helpers.R |    2 
 tests/testthat/test-polr.R               |    2 
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 66 files changed, 740 insertions(+), 542 deletions(-)

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New package exDE with initial version 1.0.0
Package: exDE
Title: Extensible Differential Equations for Mosquito-Borne Pathogen Modeling
Version: 1.0.0
Description: Provides tools to set up modular ordinary and delay differential equation models for mosquito-borne pathogens, focusing on malaria. Modular design is achieved by S3 dispatch on parameter lists for each component which is used to compute the full set of differential equations which may be solved using any of the packages for numerical simulation of differential equations in R. The methods implemented by this package are described in Wu et al. (2022) <doi:10.1101/2022.11.07.22282044>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://dd-harp.github.io/exDE/
BugReports: https://github.com/dd-harp/exDE/issues
Imports: deSolve, expm, MASS
Suggests: ggplot2, data.table, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-17 17:47:57 UTC; seanwu89
Author: Sean L. Wu [aut, cre] , David L. Smith [aut]
Maintainer: Sean L. Wu <slwood89@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-18 10:00:04 UTC

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New package EGRNi with initial version 0.1.6
Package: EGRNi
Title: Ensemble Gene Regulatory Network Inference
Version: 0.1.6
Author: Chiranjib Sarkar [aut, cre, ctb] , Dipayan Sarkar [aut] , Rajender Parsad [aut], Dwijesh Mishra [aut]
Maintainer: Chiranjib Sarkar <cschiranjib9@gmail.com>
Description: Gene regulatory network constructed using combined score obtained from individual network inference method. The combined score measures the significance of edges in the ensemble network. Fisher's weighted method has been implemented to combine the outcomes of different methods based on the probability values. The combined score follows chi-square distribution with 2n degrees of freedom. <doi:10.22271/09746315.2020.v16.i3.1358>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: fdrtool, gdata, MASS, readr, stats
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-17 16:41:22 UTC; 91701
Repository: CRAN
Date/Publication: 2022-11-18 10:00:09 UTC

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New package deeptrafo with initial version 0.1
Package: deeptrafo
Title: Fitting Deep Conditional Transformation Models
Version: 0.1
Description: Allows for the specification of deep conditional transformation models (DCTMs) and ordinal neural network transformation models, as described in Baumann et al (2021) <doi:10.1007/978-3-030-86523-8_1> and Kook et al (2022) <doi:10.1016/j.patcog.2021.108263>. Extensions such as autoregressive DCTMs (Ruegamer et al, 2022, <doi:10.48550/arXiv.2110.08248>) and transformation ensembles (Kook et al, 2022, <doi:10.48550/arXiv.2205.12729>) are implemented.
Depends: R (>= 4.0.0), Formula, tensorflow (>= 2.2.0), keras (>= 2.2.0), tfprobability (>= 0.15), deepregression
Suggests: testthat, knitr, ordinal, tram, cotram, covr
Imports: mlt, variables, stats, purrr, survival, R6, reticulate
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-17 14:22:53 UTC; stigler
Author: Lucas Kook [aut, cre], Philipp Baumann [aut], David Ruegamer [aut]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-18 09:30:02 UTC

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New package blindrecalc with initial version 1.0.0
Package: blindrecalc
Title: Blinded Sample Size Recalculation
Version: 1.0.0
Description: Computation of key characteristics and plots for blinded sample size recalculation. Continuous as well as binary endpoints are supported in superiority and non-inferiority trials. See Baumann, Pilz, Kieser (2022) <doi:10.32614/RJ-2022-001> for a detailed description. The implemented methods include the approaches by Lu, K. (2019) <doi:10.1002/pst.1737>, Kieser, M. and Friede, T. (2000) <doi:10.1002/(SICI)1097-0258(20000415)19:7%3C901::AID-SIM405%3E3.0.CO;2-L>, Friede, T. and Kieser, M. (2004) <doi:10.1002/pst.140>, Friede, T., Mitchell, C., Mueller-Veltern, G. (2007) <doi:10.1002/bimj.200610373>, and Friede, T. and Kieser, M. (2011) <doi:10.3414/ME09-01-0063>.
License: MIT + file LICENSE
URL: https://github.com/imbi-heidelberg/blindrecalc
Encoding: UTF-8
Suggests: testthat, covr
Imports: methods, Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-11-17 09:33:22 UTC; Pilz
Author: Lukas Baumann [aut, cre] , Maximilian Pilz [aut] , Institute of Medical Biometry and Informatics - University of Heidelberg [cph]
Maintainer: Lukas Baumann <baumann@imbi.uni-heidelberg.de>
Repository: CRAN
Date/Publication: 2022-11-18 09:30:05 UTC

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Package PCMBase updated to version 1.2.13 with previous version 1.2.12 dated 2021-06-07

Title: Simulation and Likelihood Calculation of Phylogenetic Comparative Models
Description: Phylogenetic comparative methods represent models of continuous trait data associated with the tips of a phylogenetic tree. Examples of such models are Gaussian continuous time branching stochastic processes such as Brownian motion (BM) and Ornstein-Uhlenbeck (OU) processes, which regard the data at the tips of the tree as an observed (final) state of a Markov process starting from an initial state at the root and evolving along the branches of the tree. The PCMBase R package provides a general framework for manipulating such models. This framework consists of an application programming interface for specifying data and model parameters, and efficient algorithms for simulating trait evolution under a model and calculating the likelihood of model parameters for an assumed model and trait data. The package implements a growing collection of models, which currently includes BM, OU, BM/OU with jumps, two-speed OU as well as mixed Gaussian models, in which different types of the above model [...truncated...]
Author: Venelin Mitov [aut, cre, cph] , Krzysztof Bartoszek [ctb], Georgios Asimomitis [ctb], Tanja Stadler [ths]
Maintainer: Venelin Mitov <vmitov@gmail.com>

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Package motifcluster updated to version 0.2.3 with previous version 0.2.2 dated 2022-08-15

Title: Motif-Based Spectral Clustering of Weighted Directed Networks
Description: Tools for spectral clustering of weighted directed networks using motif adjacency matrices. Methods perform well on large and sparse networks, and random sampling methods for generating weighted directed networks are also provided. Based on methodology detailed in Underwood, Elliott and Cucuringu (2020) <arXiv:2004.01293>.
Author: William George Underwood [aut, cre]
Maintainer: William George Underwood <wgu2@princeton.edu>

Diff between motifcluster versions 0.2.2 dated 2022-08-15 and 0.2.3 dated 2022-11-18

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Package coefa updated to version 1.0.2 with previous version 1.0.1 dated 2022-09-26

Title: Meta Analysis of Factor Analysis Based on CO-Occurrence Matrices
Description: Provide a series of functions to conduct a meta analysis of factor analysis based on co-occurrence matrices. The tool can be used to solve the factor structure (i.e. inner structure of a construct, or scale) debate in several disciplines, such as psychology, psychiatry, management, education so on. References: Shafer (2005) <doi:10.1037/1040-3590.17.3.324>; Shafer (2006) <doi:10.1002/jclp.20213>; Loeber and Schmaling (1985) <doi:10.1007/BF00910652>.
Author: Xijian Zheng [aut, cre], Huiyong Fan [aut]
Maintainer: Xijian Zheng <psydreammer@foxmail.com>

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Package ggblanket updated to version 1.6.0 with previous version 1.5.0 dated 2022-10-14

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

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Package eco (with last version 4.0-3) was removed from CRAN

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

2022-11-03 4.0-3

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