Fri, 24 Mar 2023

Package distillML updated to version 0.1.0.13 with previous version 0.1.0.9 dated 2022-07-07

Title: Model Distillation and Interpretability Methods for Machine Learning Models
Description: Provides several methods for model distillation and interpretability for general black box machine learning models and treatment effect estimation methods. For details on the algorithms implemented, see <https://forestry-labs.github.io/distillML/index.html> Brian Cho, Theo F. Saarinen, Jasjeet S. Sekhon, Simon Walter.
Author: Brian Cho [aut], Theo Saarinen [aut, cre], Jasjeet Sekhon [aut], Simon Walter [aut]
Maintainer: Theo Saarinen <theo_s@berkeley.edu>

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Package Rforestry updated to version 0.10.0 with previous version 0.9.0.152 dated 2022-12-21

Title: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
Description: Provides fast implementations of Honest Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation. Soren R. Kunzel, Theo F. Saarinen, Edward W. Liu, Jasjeet S. Sekhon (2019) <arXiv:1906.06463>.
Author: Soeren Kuenzel [aut], Theo Saarinen [aut, cre], Simon Walter [aut], Sam Antonyan [aut], Edward Liu [aut], Allen Tang [aut], Jasjeet Sekhon [aut]
Maintainer: Theo Saarinen <theo_s@berkeley.edu>

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Package usedthese updated to version 0.3.2 with previous version 0.3.1 dated 2023-02-24

Title: Summarises Package & Function Usage
Description: Consistent with 'knitr' syntax highlighting, 'usedthese' adds a summary table of R package & function usage to a Quarto document and enables aggregation of usage across a Quarto website. Learn more about 'usedthese' at <https://cgoo4.github.io/usedthese/>.
Author: Carl Goodwin [aut, cre]
Maintainer: Carl Goodwin <carl.goodwin@quantumjitter.com>

Diff between usedthese versions 0.3.1 dated 2023-02-24 and 0.3.2 dated 2023-03-24

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Package shinytest updated to version 1.5.3 with previous version 1.5.2 dated 2023-03-22

Title: Test Shiny Apps
Description: For automated testing of Shiny applications, using a headless browser, driven through 'WebDriver'.
Author: Winston Chang [aut, cre], Gabor Csardi [aut], Hadley Wickham [aut], RStudio [cph, fnd], Mango Solutions [cph, ccp]
Maintainer: Winston Chang <winston@rstudio.com>

Diff between shinytest versions 1.5.2 dated 2023-03-22 and 1.5.3 dated 2023-03-24

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Package quantregGrowth updated to version 1.5-0 with previous version 1.4-0 dated 2021-11-10

Title: Growth Charts via Smooth Regression Quantiles with Automatic Smoothness Estimation and Additive Terms
Description: Fits non-crossing regression quantiles as a function of linear covariates and multiple smooth terms, including varying coefficients, via B-splines with L1-norm difference penalties. The smoothing parameters are estimated as part of the model fitting, see Muggeo and others (2021) <doi:10.1177/1471082X20929802>. Monotonicity and concavity constraints on the fitted curves are allowed, see Muggeo and others (2013) <doi:10.1007/s10651-012-0232-1> and also <doi:10.13140/RG.2.2.12924.85122> for some code examples.
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package PTAk updated to version 2.0.0 with previous version 1.4-0 dated 2021-10-06

Title: Principal Tensor Analysis on k Modes
Description: A multiway method to decompose a tensor (array) of any order, as a generalisation of SVD also supporting non-identity metrics and penalisations. 2-way SVD with these extensions is also available. The package includes also some other multiway methods: PCAn (Tucker-n) and PARAFAC/CANDECOMP with these extensions.
Author: Didier G. Leibovici <doi:10.18637/jss.v034.i10>
Maintainer: Didier G. Leibovici <GeotRYcs@gmail.com>

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Package dtrackr updated to version 0.4.0 with previous version 0.2.4 dated 2022-07-05

Title: Track your Data Pipelines
Description: Track and document 'dplyr' data pipelines. As you filter, mutate, and join your way through a data set, 'dtrackr' seamlessly keeps track of your data flow and makes publication ready documentation of a data pipeline simple.
Author: Robert Challen [aut, cre]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>

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Package doFuture updated to version 1.0.0 with previous version 0.12.2 dated 2022-04-26

Title: Use Foreach to Parallelize via the Future Framework
Description: The 'future' package provides a unifying parallelization framework for R that supports many parallel and distributed backends. The 'foreach' package provides a powerful API for iterating over an R expression in parallel. The 'doFuture' package brings the best of the two together. There are two alternative ways to use this package. The first is the traditional 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()' and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with the 'future' framework. The other alternative is to use 'y <- foreach(...) %dofuture% { ... }', which does not require using 'registerDoFuture()' and has many advantages over '%dopar%'.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package assignR updated to version 2.2.2 with previous version 2.2.1 dated 2022-07-11

Title: Infer Geographic Origin from Isotopic Data
Description: Routines for re-scaling isotope maps using known-origin tissue isotope data, assigning origin of unknown samples, and summarizing and assessing assignment results. Methods are adapted from Wunder (2010, in ISBN:9789048133536) and Vander Zanden, H. B. et al. (2014) <doi:10.1111/2041-210X.12229> as described in Ma, C. et al. (2020) <doi:10.1111/2041-210X.13426>.
Author: Chao Ma, Gabe Bowen
Maintainer: Gabe Bowen <gabe.bowen@utah.edu>

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Package ncdfgeom updated to version 1.1.5 with previous version 1.1.4 dated 2022-11-08

Title: 'NetCDF' Geometry and Time Series
Description: Tools to create time series and geometry 'NetCDF' files.
Author: David Blodgett [aut, cre], Luke Winslow [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package missRanger updated to version 2.2.0 with previous version 2.1.3 dated 2021-03-30

Title: Fast Imputation of Missing Values
Description: Alternative implementation of the beautiful 'MissForest' algorithm used to impute mixed-type data sets by chaining random forests, introduced by Stekhoven, D.J. and Buehlmann, P. (2012) <doi:10.1093/bioinformatics/btr597>. Under the hood, it uses the lightning fast random jungle package 'ranger'. Between the iterative model fitting, we offer the option of using predictive mean matching. This firstly avoids imputation with values not already present in the original data (like a value 0.3334 in 0-1 coded variable). Secondly, predictive mean matching tries to raise the variance in the resulting conditional distributions to a realistic level. This would allow e.g. to do multiple imputation when repeating the call to missRanger(). A formula interface allows to control which variables should be imputed by which.
Author: Michael Mayer [aut, cre, cph]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package rlecuyer updated to version 0.3-7 with previous version 0.3-5 dated 2019-11-21

Title: R Interface to RNG with Multiple Streams
Description: Provides an interface to the C implementation of the random number generator with multiple independent streams developed by L'Ecuyer et al (2002). The main purpose of this package is to enable the use of this random number generator in parallel R applications.
Author: Hana Sevcikova [aut, cre], Tony Rossini [aut], Pierre L'Ecuyer [cph]
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package ABM updated to version 0.3 with previous version 0.2 dated 2023-03-10

Title: Agent Based Model Simulation Framework
Description: A high-performance, flexible and extensible framework to develop continuous-time agent based models. Its high performance allows it to simulate millions of agents efficiently. Agents are defined by their states (arbitrary R lists). The events are handled in chronological order. This avoids the multi-event interaction problem in a time step of discrete-time simulations, and gives precise outcomes. The states are modified by provided or user-defined events. The framework provides a flexible and customizable implementation of state transitions (either spontaneous or caused by agent interactions), making the framework suitable to apply to epidemiology and ecology, e.g., to model life history stages, competition and cooperation, and disease and information spread. The agent interactions are flexible and extensible. The framework provides random mixing and network interactions, and supports multi-level mixing patterns. It can be easily extended to other interactions such as inter- and intra [...truncated...]
Author: Junling Ma [aut, cre]
Maintainer: Junling Ma <junlingm@uvic.ca>

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Package owidR updated to version 1.4.1 with previous version 1.4.0 dated 2022-09-25

Title: Import Data from Our World in Data
Description: Search and download the data used in over 3,000 Our World in Data charts.
Author: Piers York
Maintainer: Piers York <piersyork@gmail.com>

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Package leaderCluster updated to version 1.5 with previous version 1.3 dated 2022-08-17

Title: Leader Clustering Algorithm
Description: The leader clustering algorithm provides a means for clustering a set of data points. Unlike many other clustering algorithms it does not require the user to specify the number of clusters, but instead requires the approximate radius of a cluster as its primary tuning parameter. The package provides a fast implementation of this algorithm in n-dimensions using Lp-distances (with special cases for p=1,2, and infinity) as well as for spatial data using the Haversine formula, which takes latitude/longitude pairs as inputs and clusters based on great circle distances.
Author: Taylor B. Arnold
Maintainer: Taylor B. Arnold <tarnold2@richmond.edu>

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Package tclust updated to version 1.5-4 with previous version 1.5-2 dated 2022-10-24

Title: Robust Trimmed Clustering
Description: Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.
Author: Agustin Mayo Iscar, Luis Angel Garcia Escudero, Heinrich Fritz
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package VSOLassoBag updated to version 0.99.1 with previous version 0.99.0 dated 2022-11-25

Title: Variable Selection Oriented LASSO Bagging Algorithm
Description: A wrapped LASSO approach by integrating an ensemble learning strategy to help select efficient, stable, and high confidential variables from omics-based data. Using a bagging strategy in combination of a parametric method or inflection point search method for cut-off threshold determination. This package can integrate and vote variables generated from multiple LASSO models to determine the optimal candidates. Luo H, Zhao Q, et al (2020) <doi:10.1126/scitranslmed.aax7533> for more details.
Author: Jiaqi Liang [aut], Chaoye Wang [aut, cre]
Maintainer: Chaoye Wang <wangcy1@sysucc.org.cn>

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New package Rgof with initial version 1.0.1
Package: Rgof
Title: 1d Goodness of Fit Tests
Version: 1.0.1
Description: Routines that allow the user to run a large number of goodness-of-fit tests. It allows for data to be continuous or discrete. It includes routines to estimate the power of the tests and display them as a power graph.
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, parallel, ggplot2, stats
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-24 14:32:15 UTC; Wolfgang
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>
Repository: CRAN
Date/Publication: 2023-03-24 16:50:05 UTC

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New package matrixcut with initial version 0.0.1
Package: matrixcut
Version: 0.0.1
Date: 2023-03-19
Title: Determines Clustering Threshold Based on Similarity Values
Maintainer: Matthew Cserhati <csmatyi@protonmail.com>
Description: The user must supply a matrix filled with similarity values. The software will search for significant differences between similarity values at different hierarchical levels. The algorithm will return a Loess-smoothed plot of the similarity values along with the inflection point, if there are any. There is the option to search for an inflection point within a specified range. The package also has a function that will return the matrix components at a specified cutoff. References: Mullner. <ArXiv:1109.2378>; Cserhati, Carter. (2020, Journal of Creation 34(3):41-50), <https://dl0.creation.com/articles/p137/c13759/j34-3_64-73.pdf>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: igraph, stats, inflection
NeedsCompilation: no
Packaged: 2023-03-24 04:49:15 UTC; matth
Author: Matthew Cserhati [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-03-24 16:30:02 UTC

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New package lpjmlkit with initial version 1.0.11
Package: lpjmlkit
Title: Toolkit for Basic LPJmL Handling
Version: 1.0.11
Description: A collection of basic functions to facilitate the work with the Dynamic Global Vegetation Model (DGVM) Lund-Potsdam-Jena managed Land (LPJmL) hosted at the Potsdam Institute for Climate Impact Research (PIK). It provides functions for performing LPJmL simulations, as well as reading, processing and writing model-related data such as inputs and outputs or configuration files.
License: AGPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
URL: https://github.com/PIK-LPJmL/lpjmlkit, https://doi.org/10.5281/zenodo.7752812
BugReports: https://github.com/PIK-LPJmL/lpjmlkit/issues
Imports: magrittr, dplyr, processx, tibble, jsonlite, doParallel, foreach, utils, methods, abind, rlang, withr
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), terra, raster, reshape2, maps
VignetteBuilder: knitr
Date: 2023-03-24
NeedsCompilation: no
Packaged: 2023-03-24 07:37:04 UTC; jannesbr
Author: Jannes Breier [aut, cre] , Sebastian Ostberg [aut] , Stephen Bjoern Wirth [aut] , Sara Minoli [aut] , Fabian Stenzel [aut] , Christoph Mueller [aut]
Maintainer: Jannes Breier <jannesbr@pik-potsdam.de>
Repository: CRAN
Date/Publication: 2023-03-24 16:30:04 UTC

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New package idcnrba with initial version 0.1.0
Package: idcnrba
Title: Interactive Application for Analyzing Representativeness and Nonresponse Bias
Version: 0.1.0
Description: Provides access to the Idea Data Center (IDC) application for conducting nonresponse bias analysis (NRBA). The IDC NRBA app is an interactive, browser-based Shiny application that can be used to analyze survey data with respect to response rates, representativeness, and nonresponse bias. This app provides a user-friendly interface to statistical methods implemented by the 'nrba' package. Krenzke, Van de Kerckhove, and Mohadjer (2005) <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf> and Lohr and Riddles (2016) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR> provide an overview of the statistical methods implemented in the application.
License: GPL (>= 3)
Encoding: UTF-8
Imports: nrba, dplyr, rmarkdown, shiny, stats, markdown, flexdashboard, shinyjs, htmlwidgets, DT, tibble, survey (>= 4.1-1), srvyr, haven, readr, openxlsx, base64enc, miniUI (>= 0.1.1), rstudioapi (>= 0.5)
Suggests: knitr, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2023-03-24 13:43:03 UTC; schneider_b
Author: Ben Schneider [aut, cre] , Tamara Nimkoff [aut], Anthony Fucci [aut], Andy Cruse [aut], Alexander Cates [aut], Jim Green [aut], Westat [cph]
Maintainer: Ben Schneider <BenjaminSchneider@westat.com>
Repository: CRAN
Date/Publication: 2023-03-24 16:50:02 UTC

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New package ggpicrust2 with initial version 1.4.8
Package: ggpicrust2
Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Version: 1.4.8
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <arXiv:2303.10388>.
BugReports: https://github.com/cafferychen777/ggpicrust2/pulls
URL: https://github.com/cafferychen777/ggpicrust2
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ALDEx2, aplot, DESeq2, dplyr, edgeR, funrar, GGally, ggplot2, grid, lefser, limma, Maaslin2, metagenomeSeq, MicrobiomeStat, readr, stats, SummarizedExperiment, tibble, tidyr,
Depends: R (>= 3.5.0)
Suggests: covr, testthat (>= 3.0.0), cowplot, Biobase, devtools, KEGGREST, ComplexHeatmap, ggprism, ggforce, patchwork, ggplotify, BiocGenerics, BiocManager, magrittr, utils
NeedsCompilation: no
Packaged: 2023-03-24 11:41:58 UTC; apple
Author: Chen Yang [aut, cre], Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-24 16:40:02 UTC

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New package frailtyMMpen with initial version 1.0.0
Package: frailtyMMpen
Title: Efficient Algorithm for High-Dimensional Frailty Model
Version: 1.0.0
Maintainer: Yunpeng Zhou <u3514104@connect.hku.hk>
Description: The penalized and non-penalized Minorize-Maximization (MM) method for frailty models to fit the clustered data, multi-event data and recurrent data. Least absolute shrinkage and selection operator (LASSO), minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalized functions are implemented. All the methods are computationally efficient. These general methods are proposed based on the following papers, Huang, Xu and Zhou (2022) <doi:10.3390/math10040538>, Huang, Xu and Zhou (2023) <doi:10.1177/09622802221133554>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: false
Depends: R (>= 3.5.0), survival, numDeriv, mgcv
Imports: Rcpp (>= 1.0.8), graphics, stats
LinkingTo: Rcpp, RcppGSL
NeedsCompilation: yes
Packaged: 2023-03-23 13:58:09 UTC; michael81
Author: Xifen Huang [aut], Yunpeng Zhou [aut, cre], Jinfeng Xu [ctb]
Repository: CRAN
Date/Publication: 2023-03-24 16:20:02 UTC

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New package deps with initial version 0.1.2
Package: deps
Title: Dependency Management with 'roxygen'-Style Comments
Version: 0.1.2
Date: 2023-03-23
Description: Manage your source code dependencies by decorating your existing R code with special, 'roxygen'-style comments.
License: MIT + file LICENSE
LazyLoad: yes
Imports: renv, jsonlite, remotes
Encoding: UTF-8
BugReports: https://github.com/analythium/deps/issues
URL: https://github.com/analythium/deps
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-24 03:21:05 UTC; Peter
Author: Peter Solymos [aut, cre] , Analythium Solutions Inc. [cph, fnd]
Maintainer: Peter Solymos <peter@analythium.io>
Repository: CRAN
Date/Publication: 2023-03-24 16:40:05 UTC

More information about deps at CRAN
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Package rgudhi updated to version 0.2.0 with previous version 0.1.0 dated 2023-01-19

Title: An Interface to the GUDHI Library for Topological Data Analysis
Description: Provides an interface to the GUDHI library which is a generic open source C++ library, with a Python interface, for topological data analysis (TDA) and higher dimensional geometry understanding. The library offers state-of-the-art data structures and algorithms to construct simplicial complexes and compute persistent homology.
Author: Aymeric Stamm [aut, cre] , GUDHI Editorial Board [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>

Diff between rgudhi versions 0.1.0 dated 2023-01-19 and 0.2.0 dated 2023-03-24

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Package redcapAPI updated to version 2.5.0 with previous version 2.4.0 dated 2023-03-01

Title: Interface to 'REDCap'
Description: Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Author: Shawn Garbett [cre, ctb] , Benjamin Nutter [ctb, aut], Stephen Lane [ctb], Will Beasley [ctb], Jeffrey Horner [aut], Will Gray [ctb], Jeremy Stephens [ctb], Marcus Lehr [ctb]
Maintainer: Shawn Garbett <shawn.garbett@vumc.org>

Diff between redcapAPI versions 2.4.0 dated 2023-03-01 and 2.5.0 dated 2023-03-24

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Package BNPdensity updated to version 2023.3.8 with previous version 2021.5.4 dated 2021-05-13

Title: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
Description: Bayesian nonparametric density estimation modeling mixtures by a Ferguson-Klass type algorithm for posterior normalized random measures.
Author: Julyan Arbel [ctb], Ernesto Barrios [aut], Guillaume Kon Kam King [aut, cre], Antonio Lijoi [aut], Luis E. Nieto-Barajas [aut], Igor Pruenster [aut]
Maintainer: Guillaume Kon Kam King <guillaume.konkamking.work@gmail.com>

Diff between BNPdensity versions 2021.5.4 dated 2021-05-13 and 2023.3.8 dated 2023-03-24

 DESCRIPTION             |    8 ++++----
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Package simplermarkdown updated to version 0.0.6 with previous version 0.0.4 dated 2022-01-03

Title: Simple Engine for Generating Reports using R
Description: Runs R-code present in a pandoc markdown file and includes the resulting output in the resulting markdown file. This file can then be converted into any of the output formats supported by pandoc. The package can also be used as an engine for writing package vignettes.
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>

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Package peacesciencer updated to version 1.1.0 with previous version 1.0.0 dated 2022-03-25

Title: Tools and Data for Quantitative Peace Science Research
Description: These are useful tools and data sets for the study of quantitative peace science. The goal for this package is to include tools and data sets for doing original research that mimics well what a user would have to previously get from a software package that may not be well-sourced or well-supported. Those software bundles were useful the extent to which they encourage replications of long-standing analyses by starting the data-generating process from scratch. However, a lot of the functionality can be done relatively quickly and more transparently in the R programming language.
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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Package marmap updated to version 1.0.10 with previous version 1.0.9 dated 2023-01-09

Title: Import, Plot and Analyze Bathymetric and Topographic Data
Description: Import xyz data from the NOAA (National Oceanic and Atmospheric Administration, <https://www.noaa.gov>), GEBCO (General Bathymetric Chart of the Oceans, <https://www.gebco.net>) and other sources, plot xyz data to prepare publication-ready figures, analyze xyz data to extract transects, get depth / altitude based on geographical coordinates, or calculate z-constrained least-cost paths.
Author: Eric Pante, Benoit Simon-Bouhet, and Jean-Olivier Irisson
Maintainer: Benoit Simon-Bouhet <besibo@gmail.com>

Diff between marmap versions 1.0.9 dated 2023-01-09 and 1.0.10 dated 2023-03-24

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More information about marmap at CRAN
Permanent link

New package SwimmeR with initial version 0.14.2
Package: SwimmeR
Title: Data Import, Cleaning, and Conversions for Swimming Results
Version: 0.14.2
Description: The goal of the 'SwimmeR' package is to provide means of acquiring, and then analyzing, data from swimming (and diving) competitions. To that end 'SwimmeR' allows results to be read in from .html sources, like 'Hy-Tek' real time results pages, '.pdf' files, 'ISL' results, 'Omega' results, and (on a development basis) '.hy3' files. Once read in, 'SwimmeR' can convert swimming times (performances) between the computationally useful format of seconds reported to the '100ths' place (e.g. 95.37), and the conventional reporting format (1:35.37) used in the swimming community. 'SwimmeR' can also score meets in a variety of formats with user defined point values, convert times between courses ('LCM', 'SCM', 'SCY') and draw single elimination brackets, as well as providing a suite of tools for working cleaning swimming data. This is a developmental package, not yet mature.
License: MIT + file LICENSE
Imports: purrr, dplyr, stringr, utils, rvest, pdftools, magrittr, xml2, readr
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-24 01:03:47 UTC; Greg
Author: Greg Pilgrim [aut, cre] , Caitlin Baldwin [ctb]
Maintainer: Greg Pilgrim <gpilgrim2670@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-03-24 13:20:02 UTC

More information about SwimmeR at CRAN
Permanent link

Package rswipl updated to version 9.1.8 with previous version 9.1.7 dated 2023-03-19

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

Diff between rswipl versions 9.1.7 dated 2023-03-19 and 9.1.8 dated 2023-03-24

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 rswipl-9.1.8/rswipl/NEWS.md                                                            |    8 
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 rswipl-9.1.8/rswipl/src/swipl-devel/src/pl-builtin.h                                   |    7 
 rswipl-9.1.8/rswipl/src/swipl-devel/src/pl-event.c                                     |    8 
 rswipl-9.1.8/rswipl/src/swipl-devel/src/pl-ext.c                                       |    9 
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 rswipl-9.1.8/rswipl/src/swipl-devel/src/pl-nt.c                                        |    5 
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 rswipl-9.1.8/rswipl/src/swipl-devel/src/pl-rec.c                                       |    6 
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More information about rswipl at CRAN
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Package REDCapDM updated to version 0.5.0 with previous version 0.4.0 dated 2023-03-03

Title: 'REDCap' Data Management
Description: Access and manage 'REDCap' data. 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to programmatic access data and project meta data (such as the data dictionary) from the web. This package allows us to read 'REDCap' data, exported or using an API connection, identify missing or extreme values, identify missing 'REDCap' events in each observation, do a follow-up of the queries initially identified and it also facilitates the process of data management.
Author: Joao Carmezim [aut, cre], Judith Penafiel [aut], Pau Satorra [aut], Esther Garcia [aut], Natalia Pallares [aut], Cristian Tebe [aut]
Maintainer: Joao Carmezim <ubidi@idibell.cat>

Diff between REDCapDM versions 0.4.0 dated 2023-03-03 and 0.5.0 dated 2023-03-24

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More information about REDCapDM at CRAN
Permanent link

Package drake updated to version 7.13.5 with previous version 7.13.4 dated 2022-08-19

Title: A Pipeline Toolkit for Reproducible Computation at Scale
Description: A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://docs.ropensci.org/drake/> and the online manual <https://books.ropensci.org/drake/>.
Author: William Michael Landau [aut, cre] , Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Mueller [ctb], Ben Bond-Lamberty [ctb] , Tristan Mahr [ctb] , Miles McBain [ctb] , Noam Ross [ctb] , Ellis Hughes [ctb], Matthew Mark Strasiotto [ctb], Ben Marwick [...truncated...]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between drake versions 7.13.4 dated 2022-08-19 and 7.13.5 dated 2023-03-24

 DESCRIPTION               |    8 ++++----
 MD5                       |   24 ++++++++++++------------
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More information about drake at CRAN
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Package tmbstan updated to version 1.0.7 with previous version 1.0.4 dated 2022-03-21

Title: MCMC Sampling from 'TMB' Model Object using 'Stan'
Description: Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects. This is demonstrated in Monnahan & Kristensen (2018) <DOI:10.1371/journal.pone.0197954>.
Author: Kasper Kristensen
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between tmbstan versions 1.0.4 dated 2022-03-21 and 1.0.7 dated 2023-03-24

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More information about tmbstan at CRAN
Permanent link

Package pammtools updated to version 0.5.91 with previous version 0.5.8 dated 2022-01-08

Title: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis
Description: The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>) is a powerful model class for the analysis of survival (or time-to-event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2019)), as well as support for left-truncated, competing risks and recurrent events data. pammtools provides tidy workflow for survival analysis with PAMMs, including data simulation, transformation and other functions for data preprocessing and model post-processing as well as visualization.
Author: Andreas Bender [aut, cre] , Fabian Scheipl [aut] , Philipp Kopper [aut] , Lukas Burk [ctb]
Maintainer: Andreas Bender <andreas.bender@stat.uni-muenchen.de>

Diff between pammtools versions 0.5.8 dated 2022-01-08 and 0.5.91 dated 2023-03-24

 DESCRIPTION                 |    8 +++---
 MD5                         |   24 +++++++++---------
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 13 files changed, 151 insertions(+), 78 deletions(-)

More information about pammtools at CRAN
Permanent link

Package MetricsWeighted updated to version 0.5.5 with previous version 0.5.4 dated 2022-01-23

Title: Weighted Metrics, Scoring Functions and Performance Measures for Machine Learning
Description: Provides weighted versions of several metrics, scoring functions and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are supported.
Author: Michael Mayer [aut, cre, cph], Christian Lorentzen [ctb, rev]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between MetricsWeighted versions 0.5.4 dated 2022-01-23 and 0.5.5 dated 2023-03-24

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

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

2016-11-14 1.0

Permanent link
Package DistributionFitR (with last version 0.1) was removed from CRAN

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

2020-03-04 0.1

Permanent link
Package TTAinterfaceTrendAnalysis updated to version 1.5.9 with previous version 1.5.8 dated 2021-10-06

Title: Temporal Trend Analysis Graphical Interface
Description: This interface was created to develop a standard procedure to analyse temporal trend in the framework of the OSPAR convention. The analysis process run through 4 successive steps : 1) manipulate your data, 2) select the parameters you want to analyse, 3) build your regulated time series, 4) perform diagnosis and analysis and 5) read the results. Statistical analysis call other package function such as Kendall tests or cusum() function.
Author: David DEVREKER [aut, cre], Alain LEFEBVRE [aut]
Maintainer: David DEVREKER <David.Devreker@ifremer.fr>

Diff between TTAinterfaceTrendAnalysis versions 1.5.8 dated 2021-10-06 and 1.5.9 dated 2023-03-24

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Package rb3 updated to version 0.0.9 with previous version 0.0.8 dated 2023-03-05

Title: Download and Parse Public Data Released by B3 Exchange
Description: Download and parse public files released by B3 and convert them into useful formats and data structures common to data analysis practitioners.
Author: Wilson Freitas [aut, cre], Marcelo Perlin [aut]
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between rb3 versions 0.0.8 dated 2023-03-05 and 0.0.9 dated 2023-03-24

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Package pgTools updated to version 1.0.2 with previous version 1.0.1 dated 2022-09-15

Title: Functions for Generating PostgreSQL Statements/Scripts
Description: Create PostgreSQL statements/scripts from R, optionally executing the SQL statements. Common SQL operations are included, although not every configurable option is available at this time. SQL output is intended to be compliant with PostgreSQL syntax specifications. PostgreSQL documentation is available here <https://www.postgresql.org/docs/current/index.html>.
Author: Timothy Conwell
Maintainer: Timothy Conwell <timconwell@gmail.com>

Diff between pgTools versions 1.0.1 dated 2022-09-15 and 1.0.2 dated 2023-03-24

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Permanent link

Package jacobi updated to version 2.2.0 with previous version 2.1.0 dated 2023-02-21

Title: Jacobi Theta Functions and Related Functions
Description: Evaluation of the Jacobi theta functions and related functions: Weierstrass elliptic function, Weierstrass sigma function, Weierstrass zeta function, Klein j-function, Dedekind eta function, lambda modular function, Jacobi elliptic functions, Neville theta functions, and Eisenstein series. Complex values of the variable are supported.
Author: Stephane Laurent [aut, cre], Mikael Fremling [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between jacobi versions 2.1.0 dated 2023-02-21 and 2.2.0 dated 2023-03-24

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More information about jacobi at CRAN
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Package gmvjoint updated to version 0.2.1 with previous version 0.2.0 dated 2023-03-13

Title: Joint Models of Survival and Multivariate Longitudinal Data
Description: Fit joint models of survival and multivariate longitudinal data. The longitudinal data is specified by generalised linear mixed models. The joint models are fit via maximum likelihood using an approximate expectation maximisation algorithm. Bernhardt (2015) <doi:10.1016/j.csda.2014.11.011>.
Author: James Murray [aut, cre]
Maintainer: James Murray <j.murray7@ncl.ac.uk>

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Package GGIR updated to version 2.9-0 with previous version 2.8-2 dated 2022-10-06

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' <https://actigraphcorp.com> devices, and .cwa and .wav-format data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format and has either no header or a two column header. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre], Jairo H Migueles [aut], Severine Sabia [ctb], Matthew R Patterson [ctb], Zhou Fang [ctb], Joe Heywood [ctb], Joan Capdevila Pujol [ctb], Lena Kushleyeva [ctb], Mathilde Chen [ctb], Manasa Yerramalla [ctb], Patrick Bos [ [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

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Package fido updated to version 1.0.4 with previous version 1.0.3 dated 2022-08-23

Title: Bayesian Multinomial Logistic Normal Regression
Description: Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation and Laplace Approximation as developed in Silverman et. Al. (2022) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for scalability. 'fido' replaces the previous package 'stray'.
Author: Justin Silverman [aut], Kim Roche [ctb], Michelle Nixon [ctb, cre]
Maintainer: Michelle Nixon <pistner@psu.edu>

Diff between fido versions 1.0.3 dated 2022-08-23 and 1.0.4 dated 2023-03-24

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Package chromer updated to version 0.4 with previous version 0.2 dated 2022-10-27

Title: Interface to Chromosome Counts Database API
Description: A programmatic interface to the Chromosome Counts Database (<http://ccdb.tau.ac.il/>), Rice et al. (2014) <doi:10.1111/nph.13191>. This package is part of the 'ROpenSci' suite (<https://ropensci.org>).
Author: Matthew Pennell [aut] , Paula Andrea Martinez [aut] , Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between chromer versions 0.2 dated 2022-10-27 and 0.4 dated 2023-03-24

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 7 files changed, 73 insertions(+), 50 deletions(-)

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New package causaloptim with initial version 0.9.7
Package: causaloptim
Encoding: UTF-8
Title: An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects
Version: 0.9.7
Date: 2023-03-23
Maintainer: Michael C Sachs <sachsmc@gmail.com>
Description: When causal quantities are not identifiable from the observed data, it still may be possible to bound these quantities using the observed data. We outline a class of problems for which the derivation of tight bounds is always a linear programming problem and can therefore, at least theoretically, be solved using a symbolic linear optimizer. We extend and generalize the approach of Balke and Pearl (1994) <doi:10.1016/B978-1-55860-332-5.50011-0> and we provide a user friendly graphical interface for setting up such problems via directed acyclic graphs (DAG), which only allow for problems within this class to be depicted. The user can then define linear constraints to further refine their assumptions to meet their specific problem, and then specify a causal query using a text interface. The program converts this user defined DAG, query, and constraints, and returns tight bounds. The bounds can be converted to R functions to evaluate them for specific datasets, and to latex code for [...truncated...]
License: MIT + file LICENSE
Imports: methods, Rcpp (>= 1.0.1), shiny, rcdd
Depends: R (>= 3.5.0), igraph
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/sachsmc/causaloptim
BugReports: https://github.com/sachsmc/causaloptim/issues
NeedsCompilation: yes
Packaged: 2023-03-23 09:10:43 UTC; sachsmc
Author: Michael C Sachs [aut, cre], Erin E Gabriel [aut], Arvid Sjoelander [aut], Gustav Jonzon [ctb] ), Alexander A Balke [ctb] ), Colorado Reed [ctb] )
Repository: CRAN
Date/Publication: 2023-03-24 12:00:15 UTC

More information about causaloptim at CRAN
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Package touchard (with last version 2.0.1) was removed from CRAN

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

2019-05-31 2.0.1
2019-02-08 2.0
2018-08-14 1.0

Permanent link
Package tsfgrnn updated to version 1.0.4 with previous version 1.0.2 dated 2022-05-30

Title: Time Series Forecasting Using GRNN
Description: A general regression neural network (GRNN) is a variant of a Radial Basis Function Network characterized by a fast single-pass learning. 'tsfgrnn' allows you to forecast time series using a GRNN model Francisco Martinez et al. (2019) <doi:10.1007/978-3-030-20521-8_17> and Francisco Martinez et al. (2022) <doi:10.1016/j.neucom.2021.12.028>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. You can consult and plot how the prediction was done. It is also possible to assess the forecasting accuracy of the model using rolling origin evaluation.
Author: Maria Pilar Frias-Bustamante [aut], Ana Maria Martinez-Rodriguez [aut], Antonio Conde-Sanchez [aut], Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

Diff between tsfgrnn versions 1.0.2 dated 2022-05-30 and 1.0.4 dated 2023-03-24

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More information about tsfgrnn at CRAN
Permanent link

Package r2sundials updated to version 6.5.0-3 with previous version 5.0.0-10 dated 2021-05-17

Title: Wrapper for 'SUNDIALS' Solving ODE and Sensitivity Problem
Description: Wrapper for widely used 'SUNDIALS' software (SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers) and more precisely to its 'CVODES' solver. It is aiming to solve ordinary differential equations (ODE) and optionally pending forward sensitivity problem. The wrapper is made 'R' friendly by allowing to pass custom parameters to user's callback functions. Such functions can be both written in 'R' and in 'C++' ('RcppArmadillo' flavor). In case of 'C++', performance is greatly improved so this option is highly advisable when performance matters. If provided, Jacobian matrix can be calculated either in dense or sparse format. In the latter case 'rmumps' package is used to solve corresponding linear systems. Root finding and pending event management are optional and can be specified as 'R' or 'C++' functions too. This makes them a very flexible tool for controlling the ODE system during the time course simulation. 'SUNDIALS' library was published in Hindmarsh et al. (2005) <doi:1 [...truncated...]
Author: Serguei Sokol [cre, aut], Carol S. Woodward [ctb], Daniel R. Reynolds [ctb], Alan C. Hindmarsh [ctb], David J. Gardner [ctb], Cody J. Balos [ctb], Radu Serban [ctb], Scott D. Cohen [ctb], Peter N. Brown [ctb], George Byrne [ctb], Allan G. Taylor [ctb [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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More information about r2sundials at CRAN
Permanent link

Package GABB updated to version 0.3.1 with previous version 0.2.0 dated 2023-03-02

Title: Facilitation of Data Preparation and Plotting Procedures for RDA and PCA Analyses
Description: Help to the occasional R user for synthesis and enhanced graphical visualization of redundancy analysis (RDA) and principal component analysis (PCA) methods and objects. Inputs are : data frame, RDA (package 'vegan') and PCA (package 'FactoMineR') objects. Outputs are : synthesized results of RDA, displayed in console and saved in tables ; displayed and saved objects of PCA graphic visualization of individuals and variables projections with multiple graphic parameters. Method note : for the RDA output synthesis, several functions of the package 'RVAideMemoire', developed by Maxime Hervé, are exploited.
Author: Gregoire Bianchetti [aut, cre]
Maintainer: Gregoire Bianchetti <auguste.blam@gmail.com>

Diff between GABB versions 0.2.0 dated 2023-03-02 and 0.3.1 dated 2023-03-24

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More information about GABB at CRAN
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Package xfun updated to version 0.38 with previous version 0.37 dated 2023-01-31

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xfun versions 0.37 dated 2023-01-31 and 0.38 dated 2023-03-24

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More information about xfun at CRAN
Permanent link

Package TSSS updated to version 1.3.4 with previous version 1.3.1 dated 2021-01-06

Title: Time Series Analysis with State Space Model
Description: Functions for statistical analysis, modeling and simulation of time series with state space model, based on the methodology in Kitagawa (2020, ISBN: 978-0-367-18733-0).
Author: The Institute of Statistical Mathematics, based on the program by Genshiro Kitagawa
Maintainer: Masami Saga <msaga@mtb.biglobe.ne.jp>

Diff between TSSS versions 1.3.1 dated 2021-01-06 and 1.3.4 dated 2023-03-24

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More information about TSSS at CRAN
Permanent link

Package ModStatR updated to version 1.3.3 with previous version 1.3.2 dated 2022-11-28

Title: Statistical Modelling in Action with R
Description: Datasets and functions for the book "Modélisation statistique par la pratique avec R", F. Bertrand, E. Claeys and M. Maumy-Bertrand (2019, ISBN:9782100793525, Dunod, Paris). The first chapter of the book is dedicated to an introduction to the R statistical software. The second chapter deals with correlation analysis: Pearson, Spearman and Kendall simple, multiple and partial correlation coefficients. New wrapper functions for permutation tests or bootstrap of matrices of correlation are provided with the package. The third chapter is dedicated to data exploration with factorial analyses (PCA, CA, MCA, MDA) and clustering. The fourth chapter is dedicated to regression analysis: fitting and model diagnostics are detailed. The exercises focus on covariance analysis, logistic regression, Poisson regression, two-way analysis of variance for fixed or random factors. Various example datasets are shipped with the package: for instance on pokemon, world of warcraft, house tasks or food nutritio [...truncated...]
Author: Frederic Bertrand [cre, aut] , Emmanuelle Claeys [aut], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between ModStatR versions 1.3.2 dated 2022-11-28 and 1.3.3 dated 2023-03-24

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 3 files changed, 15 insertions(+), 14 deletions(-)

More information about ModStatR at CRAN
Permanent link

Package IDSL.MXP updated to version 2.0 with previous version 1.9 dated 2023-02-01

Title: Parser for mzML, mzXML, and netCDF Files (Mass Spectrometry Data)
Description: A tiny parser to extract mass spectra data and metadata table of mass spectrometry acquisition properties from mzML, mzXML and netCDF files introduced in <doi:10.1021/acs.jproteome.2c00120>.
Author: Sadjad Fakouri-Baygi [aut] , Dinesh Barupal [cre, aut]
Maintainer: Dinesh Barupal <dinesh.barupal@mssm.edu>

Diff between IDSL.MXP versions 1.9 dated 2023-02-01 and 2.0 dated 2023-03-24

 DESCRIPTION |   17 ++++++++---------
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 2 files changed, 9 insertions(+), 10 deletions(-)

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Permanent link

New package brickset with initial version 2022.0.0
Package: brickset
Title: Interface with the Brickset API for Getting Data About LEGO Sets
Version: 2022.0.0
Date: 2023-03-23
Maintainer: Jason Bryer <jason@bryer.org>
Description: Interface with the 'Brickset' API <https://brickset.com/article/52664/api-version-3-documentation> for getting data about LEGO sets. Data sets that can be used for teaching and learning without the need of a 'Brickset' account and API key are also included. Includes all LEGO since through the end of 2022.
License: GPL (>= 3)
URL: https://github.com/jbryer/brickset, https://jbryer.github.io/brickset/
BugReports: https://github.com/jbryer/brickset/issues
Imports: dplyr, httr, jsonlite
Suggests: DT, ggplot2, knitr
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: no
Packaged: 2023-03-23 22:53:04 UTC; jbryer
Author: Jason Bryer [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-03-24 08:40:02 UTC

More information about brickset at CRAN
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Package TapeS (with last version 0.12.0) was removed from CRAN

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

2023-03-09 0.12.0

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Package MTE (with last version 1.0.2) was removed from CRAN

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

2022-03-22 1.0.2
2021-05-11 1.0.1

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