Mon, 03 Feb 2025

Package ForestTools updated to version 1.0.3 with previous version 1.0.2 dated 2024-04-28

Title: Tools for Analyzing Remote Sensing Forest Data
Description: Tools for analyzing remote sensing forest data, including functions for detecting treetops from canopy models, outlining tree crowns, and calculating textural metrics.
Author: Andrew Plowright [aut, cre], Jean-Romain Roussel [ctb]
Maintainer: Andrew Plowright <andrew.plowright@alumni.ubc.ca>

Diff between ForestTools versions 1.0.2 dated 2024-04-28 and 1.0.3 dated 2025-02-03

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Package ggpca updated to version 0.1.3 with previous version 0.1.2 dated 2024-10-28

Title: Publication-Ready PCA, t-SNE, and UMAP Plots
Description: Provides tools for creating publication-ready dimensionality reduction plots, including Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP). This package helps visualize high-dimensional data with options for custom labels, density plots, and faceting, using the 'ggplot2' framework Wickham (2016) <doi:10.1007/978-3-319-24277-4>.
Author: Yaoxiang Li [cre, aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

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Package dbi.table updated to version 1.0.3 with previous version 1.0.1 dated 2024-12-10

Title: Database Queries Using 'data.table' Syntax
Description: Query database tables over a 'DBI' connection using 'data.table' syntax. Attach database schemas to the search path. Automatically merge using foreign key constraints.
Author: Kjell P. Konis [aut, cre], Luis Rocha [ctb]
Maintainer: Kjell P. Konis <kjellk@gmail.com>

Diff between dbi.table versions 1.0.1 dated 2024-12-10 and 1.0.3 dated 2025-02-03

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Package cmhc updated to version 0.2.10 with previous version 0.2.9 dated 2024-11-05

Title: Access, Retrieve, and Work with CMHC Data
Description: Wrapper around the Canadian Mortgage and Housing Corporation (CMHC) web interface. It enables programmatic and reproducible access to a wide variety of housing data from CMHC.
Author: Jens von Bergmann [aut, cre]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

Diff between cmhc versions 0.2.9 dated 2024-11-05 and 0.2.10 dated 2025-02-03

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Package areaplot updated to version 2.1.3 with previous version 2.1.2 dated 2024-01-14

Title: Plot Stacked Areas and Confidence Bands as Filled Polygons
Description: Plot stacked areas and confidence bands as filled polygons, or add polygons to existing plots. A variety of input formats are supported, including vectors, matrices, data frames, formulas, etc.
Author: Arni Magnusson [aut, cre]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

Diff between areaplot versions 2.1.2 dated 2024-01-14 and 2.1.3 dated 2025-02-03

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Package teal.slice updated to version 0.6.0 with previous version 0.5.1 dated 2024-04-30

Title: Filter Module for 'teal' Applications
Description: Data filtering module for 'teal' applications. Allows for interactive filtering of data stored in 'data.frame' and 'MultiAssayExperiment' objects. Also displays filtered and unfiltered observation counts.
Author: Dawid Kaledkowski [aut, cre] , Pawel Rucki [aut], Aleksander Chlebowski [aut] , Andre Verissimo [aut] , Kartikeya Kirar [aut], Marcin Kosinski [aut], Chendi Liao [rev], Dony Unardi [rev], Andrew Bates [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut [...truncated...]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

Diff between teal.slice versions 0.5.1 dated 2024-04-30 and 0.6.0 dated 2025-02-03

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Package miceFast updated to version 0.8.5 with previous version 0.8.2 dated 2022-11-17

Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Description: Fast imputations under the object-oriented programming paradigm. Moreover there are offered a few functions built to work with popular R packages such as 'data.table' or 'dplyr'. The biggest improvement in time performance could be achieve for a calculation where a grouping variable have to be used. A single evaluation of a quantitative model for the multiple imputations is another major enhancement. A new major improvement is one of the fastest predictive mean matching in the R world because of presorting and binary search.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

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Package strata updated to version 1.4.0 with previous version 1.0.1 dated 2024-11-27

Title: Simple Framework for Simple Automation
Description: Build a project framework for users with access to only the most basic of automation tools.
Author: Alexander Senetcky [aut, cre, cph]
Maintainer: Alexander Senetcky <asenetcky@gmail.com>

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Package tidyterra updated to version 0.7.0 with previous version 0.6.2 dated 2025-01-08

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between tidyterra versions 0.6.2 dated 2025-01-08 and 0.7.0 dated 2025-02-03

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New package shinyr with initial version 0.4.2
Package: shinyr
Title: Data Insights Through Inbuilt R Shiny App
Version: 0.4.2
Description: It builds dynamic R shiny based dashboards to analyze any CSV files. It provides simple dashboard design to subset the data, perform exploratory data analysis and preliminary machine learning (supervised and unsupervised). It also provides filters based on columns of interest.
Depends: R (>= 3.5.0),
Imports: dplyr, shiny, shinydashboard, tm, wordcloud, corrplot, randomForest, RColorBrewer, caret, nnet, plotly
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-03 14:15:51 UTC; RPUSH1
Author: Jayachandra N [aut, cre], Pushker Ravindra [aut]
Maintainer: Jayachandra N <itsjay510@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 19:30:02 UTC

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Package rgrass updated to version 0.5-1 with previous version 0.4-4 dated 2024-09-03

Title: Interface Between 'GRASS' Geographical Information System and 'R'
Description: An interface between the 'GRASS' geographical information system ('GIS') and 'R', based on starting 'R' from within the 'GRASS' 'GIS' environment, or running a free-standing 'R' session in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the 'R' command line. The original interface package for 'GRASS 5' (2000-2010) is described in Bivand (2000) <doi:10.1016/S0098-3004(00)00057-1> and Bivand (2001) <https://www.r-project.org/conferences/DSC-2001/Proceedings/Bivand.pdf>. This was succeeded by 'spgrass6' for 'GRASS 6' (2006-2016) and 'rgrass7' for 'GRASS 7' (2015-present). The 'rgrass' package modernizes the interface for 'GRASS 8' while still permitting the use of 'GRASS 7'.
Author: Roger Bivand [aut] , Sebastian Jeworutzki [ctb] , Rainer Krug [ctb] , Robin Lovelace [ctb] , Markus Neteler [ctb] , Steven Pawley [cre, aut] , Floris Vanderhaeghe [ctb]
Maintainer: Steven Pawley <dr.stevenpawley@gmail.com>

Diff between rgrass versions 0.4-4 dated 2024-09-03 and 0.5-1 dated 2025-02-03

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Package ordbetareg updated to version 0.8 with previous version 0.7.2 dated 2023-08-10

Title: Ordered Beta Regression Models with 'brms'
Description: Implements ordered beta regression models, which are for modeling continuous variables with upper and lower bounds, such as survey sliders, dose-response relationships and indexes. For more information, see Kubinec (2023) <doi:10.31235/osf.io/2sx6y>. The package is a front-end to the R package 'brms', which facilitates a range of regression specifications, including hierarchical, dynamic and multivariate modeling.
Author: Robert Kubinec [aut, cre]
Maintainer: Robert Kubinec <bobkubinec@gmail.com>

Diff between ordbetareg versions 0.7.2 dated 2023-08-10 and 0.8 dated 2025-02-03

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Package cgmanalysis updated to version 3.0.2 with previous version 3.0.1 dated 2025-02-01

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timothy.vigers@cuanschutz.edu>

Diff between cgmanalysis versions 3.0.1 dated 2025-02-01 and 3.0.2 dated 2025-02-03

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New package tmap.cartogram with initial version 0.1
Package: tmap.cartogram
License: GPL-3
Title: Extension to 'tmap' for Creating Cartograms
Description: Provides new layer functions to 'tmap' for creating various types of cartograms. A cartogram is a type of thematic map in which geographic areas are resized or distorted based on a quantitative variable, such as population. The goal is to make the area sizes proportional to the selected variable while preserving geographic positions as much as possible.
Version: 0.1
Encoding: UTF-8
Depends: R (>= 3.5.0),
Imports: tmap (>= 4.0), sf, cartogram
Suggests: knitr
URL: https://github.com/r-tmap/tmap.cartogram, https://r-tmap.github.io/tmap.cartogram/
BugReports: https://github.com/r-tmap/tmap.cartogram/issues
NeedsCompilation: no
Packaged: 2025-02-03 16:19:33 UTC; mtes
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 18:20:02 UTC

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New package shinykanban with initial version 0.0.1
Package: shinykanban
Title: Create Kanban Board in Shiny Applications
Version: 0.0.1
Description: Provides an interactive Kanban board widget for 'shiny' applications. It allows users to manage tasks using a drag-and-drop interface and offers customizable styling options. 'shinykanban' is ideal for project management, task tracking, and agile workflows within 'shiny' apps.
License: MIT + file LICENSE
URL: https://github.com/ugurdar/shinykanban
BugReports: https://github.com/ugurdar/shinykanban/issues
Encoding: UTF-8
Imports: htmlwidgets, reactR, shiny, bsicons, htmltools
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-02-03 14:10:49 UTC; ugurdar
Author: Ugur Dar [aut, cre], Brian Pillmore [aut, cph]
Maintainer: Ugur Dar <ugurdarr@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 18:10:02 UTC

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New package authoritative with initial version 0.1.0
Package: authoritative
Title: Parse and Deduplicate Author Names
Version: 0.1.0
Description: Utilities to parse authors fields from DESCRIPTION files and general purpose functions to deduplicate names in database, beyond the specific case of R package authors.
License: MIT + file LICENSE
URL: https://github.com/epiverse-connect/authoritative
BugReports: https://github.com/epiverse-connect/authoritative/issues
Depends: R (>= 4.1.0)
Imports: stringi, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2025-02-03 17:27:42 UTC; hugo
Author: Hugo Gruson [aut, cre, cph] , Chris Hartgerink [rev]
Maintainer: Hugo Gruson <hugo@data.org>
Repository: CRAN
Date/Publication: 2025-02-03 18:30:02 UTC

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Package SWMPr updated to version 2.5.2 with previous version 2.5.1 dated 2024-06-24

Title: Retrieving, Organizing, and Analyzing Estuary Monitoring Data
Description: Tools for retrieving, organizing, and analyzing environmental data from the System Wide Monitoring Program of the National Estuarine Research Reserve System <https://cdmo.baruch.sc.edu/>. These tools address common challenges associated with continuous time series data for environmental decision making.
Author: Marcus W. Beck [aut, cre], Kimberly Cressman [ctb]
Maintainer: Marcus W. Beck <mbeck@tbep.org>

Diff between SWMPr versions 2.5.1 dated 2024-06-24 and 2.5.2 dated 2025-02-03

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Package sommer updated to version 4.3.7 with previous version 4.3.6 dated 2024-10-20

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>; Jensen et al., 1997). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the Henderson-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between sommer versions 4.3.6 dated 2024-10-20 and 4.3.7 dated 2025-02-03

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Package RcppAlgos updated to version 2.9.3 with previous version 2.9.1 dated 2025-01-27

Title: High Performance Tools for Combinatorics and Computational Mathematics
Description: Provides optimized functions and flexible iterators implemented in C++ for solving problems in combinatorics and computational mathematics. Handles various combinatorial objects including combinations, permutations, integer partitions and compositions, Cartesian products, unordered Cartesian products, and partition of groups. Utilizes the RMatrix class from 'RcppParallel' for thread safety. The combination and permutation functions contain constraint parameters that allow for generation of all results of a vector meeting specific criteria (e.g. finding all combinations such that the sum is between two bounds). Capable of ranking/unranking combinatorial objects efficiently (e.g. retrieve only the nth lexicographical result) which sets up nicely for parallelization as well as random sampling. Gmp support permits exploration where the total number of results is large (e.g. comboSample(10000, 500, n = 4)). Additionally, there are several high performance number theoretic functions that are [...truncated...]
Author: Joseph Wood [aut, cre]
Maintainer: Joseph Wood <jwood000@gmail.com>

Diff between RcppAlgos versions 2.9.1 dated 2025-01-27 and 2.9.3 dated 2025-02-03

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New package raybevel with initial version 0.2.2
Package: raybevel
Title: Generates Polygon Straight Skeletons and 3D Bevels
Version: 0.2.2
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>
Description: Generates polygon straight skeletons and 3D models. Provides functions to create and visualize interior polygon offsets, 3D beveled polygons, and 3D roof models.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: progress, digest, decido, rayvertex (>= 0.11.4), sf, grid
LinkingTo: Rcpp, BH, RcppCGAL (>= 6.0.1), progress, RcppThread (>= 2.1.6)
Suggests: spData, rayrender (>= 0.38.3), testthat (>= 3.0.0), ggplot2, png
URL: https://www.raybevel.com, https://github.com/tylermorganwall/raybevel/, http://www.raybevel.com/
BugReports: https://github.com/tylermorganwall/raybevel/issues
NeedsCompilation: yes
Packaged: 2025-02-02 04:36:39 UTC; tyler
Author: Tyler Morgan-Wall [aut, cph, cre]
Repository: CRAN
Date/Publication: 2025-02-03 17:40:02 UTC

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New package lightAUC with initial version 0.1.1
Package: lightAUC
Title: Fast AUC Computation
Version: 0.1.1
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>
Description: Fast calculation of Area Under Curve (AUC) metric of a Receiver Operating Characteristic (ROC) curve, using the algorithm of Fawcett (2006) <doi:10.1016/j.patrec.2005.10.010>. Therefore it is appropriate for large-scale AUC metric calculations.
License: GPL-3
Imports: Rcpp (>= 1.0.13), RcppParallel (>= 5.1.9)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Encoding: UTF-8
SystemRequirements: GNU make
Suggests: Rfast, Rfast2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
URL: https://github.com/cadam00/lightAUC, https://cadam00.github.io/lightAUC/
BugReports: https://github.com/cadam00/lightAUC/issues
NeedsCompilation: yes
Packaged: 2025-02-03 06:15:31 UTC; Administrator
Author: Christos Adam [aut, cre]
Repository: CRAN
Date/Publication: 2025-02-03 18:00:01 UTC

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Package interfacer updated to version 0.3.3 with previous version 0.3.2 dated 2024-11-14

Title: Define and Enforce Contracts for Dataframes as Function Parameters
Description: A dataframe validation framework for package builders who use dataframes as function parameters. It performs checks on column names, coerces data-types, and checks grouping to make sure user inputs conform to a specification provided by the package author. It provides a mechanism for package authors to automatically document supported dataframe inputs and selectively dispatch to functions depending on the format of a dataframe much like S3 does for classes. It also contains some developer tools to make working with and documenting dataframe specifications easier. It helps package developers to improve their documentation and simplifies parameter validation where dataframes are used as function parameters.
Author: Robert Challen [aut, cre, cph]
Maintainer: Robert Challen <rob.challen@bristol.ac.uk>

Diff between interfacer versions 0.3.2 dated 2024-11-14 and 0.3.3 dated 2025-02-03

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New package HetSeq with initial version 0.1.0
Package: HetSeq
Title: Identifying Modulators of Cellular Responses Leveraging Intercellular Heterogeneity
Version: 0.1.0
Author: Kevin Berg [aut, cre], Florian Erhard [aut] , Lygeri Sakellaridi [aut]
Maintainer: Kevin Berg <Kevin.Berg@informatik.uni-regensburg.de>
Description: Cellular responses to perturbations are highly heterogeneous and depend largely on the initial state of cells. Connecting post-perturbation cells via cellular trajectories to untreated cells (e.g. by leveraging metabolic labeling information) enables exploitation of intercellular heterogeneity as a combined knock-down and overexpression screen to identify pathway modulators, termed Heterogeneity-seq (see 'Berg et al' <doi:10.1101/2024.10.28.620481>). This package contains functions to generate cellular trajectories based on scSLAM-seq (single-cell, thiol-(SH)-linked alkylation of RNA for metabolic labelling sequencing) time courses, functions to identify pathway modulators and to visualize the results.
License: Apache License (>= 2)
URL: https://github.com/erhard-lab/HetSeq
BugReports: https://github.com/erhard-lab/HetSeq/issues
Depends: R (>= 4.1.0)
Imports: cowplot, doParallel, foreach, DoubleML, e1071, igraph, ggplot2, ggrastr, ggrepel, grandR, lpSolve, mlr3, pROC, reshape2, scales, Seurat, stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-03 11:36:32 UTC; berg
Repository: CRAN
Date/Publication: 2025-02-03 18:00:05 UTC

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Package aebdata updated to version 0.1.4 with previous version 0.1.3 dated 2025-01-12

Title: Access Data from the Atlas do Estado Brasileiro
Description: Facilitates access to the data from the Atlas do Estado Brasileiro (<https://www.ipea.gov.br/atlasestado/>), maintained by the Instituto de Pesquisa Econômica Aplicada (Ipea). It allows users to search for specific series, list series or themes, and download data when available.
Author: Hugo Macedo [aut, cre, cph]
Maintainer: Hugo Macedo <aebdata@hhmace.do>

Diff between aebdata versions 0.1.3 dated 2025-01-12 and 0.1.4 dated 2025-02-03

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Package torch updated to version 0.14.1 with previous version 0.14.0 dated 2025-01-30

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], Sebastian Fischer [ctb], Maximilian Pichler [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between torch versions 0.14.0 dated 2025-01-30 and 0.14.1 dated 2025-02-03

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Package smooth updated to version 4.1.1 with previous version 4.1.0 dated 2024-10-01

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2023, <https://openforecast.org/adam/>), Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>) and several simulation functions. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2019, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

Diff between smooth versions 4.1.0 dated 2024-10-01 and 4.1.1 dated 2025-02-03

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Package sgs updated to version 0.3.3 with previous version 0.3.2 dated 2024-11-28

Title: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Description: Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) <doi:10.48550/arXiv.2305.09467>) models. Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) implementation is provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) <doi:10.1080/01621459.2017.1411269>) and group-based OSCAR models (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) are also implemented. All models are available with strong screening rules (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) for computational speed-up.
Author: Fabio Feser [aut, cre]
Maintainer: Fabio Feser <ff120@ic.ac.uk>

Diff between sgs versions 0.3.2 dated 2024-11-28 and 0.3.3 dated 2025-02-03

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Package RegSDC updated to version 1.0.0 with previous version 0.7.0 dated 2022-08-19

Title: Information Preserving Regression-Based Tools for Statistical Disclosure Control
Description: Implementation of the methods described in the paper with the above title: Langsrud, Ø. (2019) <doi:10.1007/s11222-018-9848-9>. The package can be used to generate synthetic or hybrid continuous microdata, and the relationship to the original data can be controlled in several ways. A function for replacing suppressed tabular cell frequencies with decimal numbers is included.
Author: Oeyvind Langsrud [aut, cre]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

Diff between RegSDC versions 0.7.0 dated 2022-08-19 and 1.0.0 dated 2025-02-03

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Package locfit updated to version 1.5-9.11 with previous version 1.5-9.10 dated 2024-06-24

Title: Local Regression, Likelihood and Density Estimation
Description: Local regression, likelihood and density estimation methods as described in the 1999 book by Loader.
Author: Catherine Loader [aut], Jiayang Sun [ctb], Lucent Technologies [cph], Andy Liaw [cre]
Maintainer: Andy Liaw <andy_liaw@merck.com>

Diff between locfit versions 1.5-9.10 dated 2024-06-24 and 1.5-9.11 dated 2025-02-03

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New package legion with initial version 0.2.1
Package: legion
Title: Forecasting Using Multivariate Models
Version: 0.2.1
Date: 2025-02-03
URL: https://github.com/config-i1/legion
BugReports: https://github.com/config-i1/legion/issues
Language: en-GB
Description: Functions implementing multivariate state space models for purposes of time series analysis and forecasting. The focus of the package is on multivariate models, such as Vector Exponential Smoothing, Vector ETS (Error-Trend-Seasonal model) etc. It currently includes Vector Exponential Smoothing (VES, de Silva et al., 2010, <doi:10.1177/1471082X0901000401>), Vector ETS (Svetunkov et al., 2023, <doi:10.1016/j.ejor.2022.04.040>) and simulation function for VES.
License: LGPL-2.1
Depends: R (>= 3.5.0), greybox (>= 1.0.4), smooth (>= 3.1.0)
Imports: Rcpp (>= 0.12.3), stats, generics (>= 0.1.2), graphics, grDevices, Matrix, nloptr, utils, zoo
LinkingTo: Rcpp, RcppArmadillo (>= 0.8.100.0.0)
Suggests: numDeriv, testthat, knitr, rmarkdown, doMC, doParallel, foreach
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-02-03 14:14:35 UTC; config
Author: Ivan Svetunkov [aut, cre] , Kandrika Fadhlan Pritularga [aut]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>
Repository: CRAN
Date/Publication: 2025-02-03 16:10:02 UTC

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Package dfr updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-28

Title: Dual Feature Reduction for SGL
Description: Implementation of the Dual Feature Reduction (DFR) approach for the Sparse Group Lasso (SGL) and the Adaptive Sparse Group Lasso (aSGL) (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.17094>). The DFR approach is a feature reduction approach that applies strong screening to reduce the feature space before optimisation, leading to speed-up improvements for fitting SGL (Simon et al. (2013) <doi:10.1080/10618600.2012.681250>) and aSGL (Mendez-Civieta et al. (2020) <doi:10.1007/s11634-020-00413-8> and Poignard (2020) <doi:10.1007/s10463-018-0692-7>) models. DFR is implemented using the Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) algorithm, with linear and logistic SGL models supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported.
Author: Fabio Feser [aut, cre]
Maintainer: Fabio Feser <ff120@ic.ac.uk>

Diff between dfr versions 0.1.2 dated 2024-11-28 and 0.1.3 dated 2025-02-03

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Package mongolite updated to version 3.0.1 with previous version 3.0.0 dated 2025-01-27

Title: Fast and Simple 'MongoDB' Client for R
Description: High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.
Author: Jeroen Ooms [aut, cre] , MongoDB, Inc [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between mongolite versions 3.0.0 dated 2025-01-27 and 3.0.1 dated 2025-02-03

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Package lessR updated to version 4.4.1 with previous version 4.4.0 dated 2025-01-12

Title: Less Code, More Results
Description: Each function replaces multiple standard R functions. For example, two function calls, Read() and CountAll(), generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for summary statistics via pivot tables, a comprehensive regression analysis, ANOVA and t-test, visualizations including the Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, time series with aggregation and forecasting, color themes, and Trellis (facet) graphics. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, generation and rendering of regression instructions for interpretative output, and interactive visualizations.
Author: David W. Gerbing [aut, cre]
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 4.4.0 dated 2025-01-12 and 4.4.1 dated 2025-02-03

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Package crew updated to version 1.0.0 with previous version 0.10.2 dated 2024-11-15

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between crew versions 0.10.2 dated 2024-11-15 and 1.0.0 dated 2025-02-03

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Package TSLSTMplus updated to version 1.0.6 with previous version 1.0.5 dated 2024-09-06

Title: Long-Short Term Memory for Time-Series Forecasting, Enhanced
Description: The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN) based architecture that is widely used for time series forecasting. Customizable configurations for the model are allowed, improving the capabilities and usability of this model compared to other packages. This package is based on 'keras' and 'tensorflow' modules and the algorithm of Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.
Author: Jaime Pizarroso Gonzalo [aut, ctb, cre], Antonio Munoz San Roque [aut]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@comillas.edu>

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Package optRF updated to version 1.1.0 with previous version 1.0.1 dated 2024-09-23

Title: Optimising Random Forest Stability by Determining the Optimal Number of Trees
Description: Calculating the stability of random forest with certain numbers of trees. The non-linear relationship between stability and numbers of trees is described using a logistic regression model and used to estimate the optimal number of trees.
Author: Thomas Martin Lange [cre, aut] , Felix Heinrich [ctb]
Maintainer: Thomas Martin Lange <thomas.lange@uni-goettingen.de>

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Package openssl updated to version 2.3.2 with previous version 2.3.1 dated 2025-01-09

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] , Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package SCDB updated to version 0.5.0 with previous version 0.4.1 dated 2024-10-03

Title: Easily Access and Maintain Time-Based Versioned Data (Slowly-Changing-Dimension)
Description: A collection of functions that enable easy access and updating of a database of data over time. More specifically, the package facilitates type-2 history for data-warehouses and provides a number of Quality of life improvements for working on SQL databases with R. For reference see Ralph Kimball and Margy Ross (2013, ISBN 9781118530801).
Author: Rasmus Skytte Randloev [aut, cre, rev] , Marcus Munch Gruenewald [aut] , Lasse Engbo Christiansen [rev] , Sofia Myrup Otero [rev], Statens Serum Institut [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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Package lcmm updated to version 2.2.0 with previous version 2.1.0 dated 2023-10-06

Title: Extended Mixed Models Using Latent Classes and Latent Processes
Description: Estimation of various extensions of the mixed models including latent class mixed models, joint latent class mixed models, mixed models for curvilinear outcomes, mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).
Author: Cecile Proust-Lima [aut, cre], Viviane Philipps [aut], Amadou Diakite [ctb], Benoit Liquet [ctb], Alan Genz [ctb] , John Burkardt [ctb]
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>

Diff between lcmm versions 2.1.0 dated 2023-10-06 and 2.2.0 dated 2025-02-03

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New package MplusLGM with initial version 1.0.0
Package: MplusLGM
Title: Automate Latent Growth Mixture Modelling in 'Mplus'
Version: 1.0.0
Description: Provide a suite of functions for conducting and automating Latent Growth Modeling (LGM) in 'Mplus', including Growth Curve Model (GCM), Growth-Based Trajectory Model (GBTM) and Latent Class Growth Analysis (LCGA). The package builds upon the capabilities of the 'MplusAutomation' package (Hallquist & Wiley, 2018) to streamline large-scale latent variable analyses. “MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus.” Structural Equation Modeling, 25(4), 621–638. <doi:10.1080/10705511.2017.1402334> The workflow implemented in this package follows the recommendations outlined in Van Der Nest et al. (2020). “An Overview of Mixture Modeling for Latent Evolutions in Longitudinal Data: Modeling Approaches, Fit Statistics, and Software.” Advances in Life Course Research, 43, Article 100323. <doi:10.1016/j.alcr.2019.100323>.
Depends: R (>= 4.1.0),
License: GPL (>= 3)
Imports: MplusAutomation, magrittr, tibble, dplyr, tidyr, tidyselect, stringr, purrr, ggplot2, glue, parallel
Encoding: UTF-8
URL: https://github.com/OlivierPDS/MplusLGM
BugReports: https://github.com/OlivierPDS/MplusLGM/issues
LazyData: true
NeedsCompilation: no
Packaged: 2025-02-01 20:20:08 UTC; olivierpercie
Author: Olivier Percie du Sert [aut, cre, cph] , Joshua Unrau [aut]
Maintainer: Olivier Percie du Sert <olivier.perciedusert@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2025-02-03 12:20:02 UTC

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New package writer with initial version 0.1.0
Package: writer
Title: Write from Multiple Sources to a Database Table
Version: 0.1.0
Description: Provides unified syntax to write data from lazy 'dplyr' 'tbl' or 'dplyr' 'sql' query or a dataframe to a database table with modes such as create, append, insert, update, upsert, patch, delete, overwrite, overwrite_schema.
License: LGPL (>= 3)
Imports: DBI (>= 1.2.3), dplyr (>= 1.1.0), dbplyr (>= 2.3.1), glue (>= 1.5.1), cli (>= 3.4.0), rlang (>= 1.1.2)
Suggests: RSQLite, testthat (>= 3.0.0),
URL: https://github.com/talegari/writer
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-31 18:22:17 UTC; srikanth-ks1
Author: Komala Sheshachala Srikanth [aut, cre]
Maintainer: Komala Sheshachala Srikanth <sri.teach@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 11:40:02 UTC

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New package resumiR with initial version 1.0.2
Package: resumiR
Title: Medidas Resumen y Tablas de Frecuencia para Datos Numéricos / Summary Measures and Frequency Tables for Numerical Data
Version: 1.0.2
Maintainer: Juan Manuel Solis <juanmasolis@fca.unju.edu.ar>
URL: https://github.com/juanMaSolisJujuy/resumiR
Description: Permite obtener rápidamente una serie de medidas de resumen y gráficos para datos numéricos discretos o continuos en series simples. También permite obtener tablas de frecuencia clásicas y gráficos cuando se desea realizar un análisis de series agrupadas. Su objetivo es de aplicación didáctica para un curso introductorio de Bioestadística utilizando el software R, para las carreras de grado las carreras de grado y otras ofertas educativas de la Facultad de Ciencias Agrarias de la UNJu / It generates summary measures and graphs for discrete or continuous numerical data in simple series. It also enables the creation of classic frequency tables and graphs when analyzing grouped series. Its purpose is for educational application in an introductory Biostatistics course using the R software, aimed at undergraduate programs and other educational offerings of the Faculty of Agricultural Sciences at the National University of Jujuy (UNJu).
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
Language: es
Imports: ggplot2, tibble
NeedsCompilation: no
Packaged: 2025-01-31 16:03:06 UTC; usuario
Author: Juan Manuel Solis [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-02-03 11:30:02 UTC

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New package OPL with initial version 1.0.0
Package: OPL
Title: Optimal Policy Learning
Version: 1.0.0
Author: Federico Brogi [aut, cre], Barbara Guardabascio [aut], Giovanni Cerulli [aut]
Maintainer: Federico Brogi <federicobrogi@gmail.com>
Description: Provides functions for optimal policy learning in socioeconomic applications helping users to learn the most effective policies based on data in order to maximize empirical welfare. Specifically, 'OPL' allows to find "treatment assignment rules" that maximize the overall welfare, defined as the sum of the policy effects estimated over all the policy beneficiaries. Documentation about 'OPL' is provided by several international articles via Athey et al (2021, <doi:10.3982/ECTA15732>), Kitagawa et al (2018, <doi:10.3982/ECTA13288>), Cerulli (2022, <doi:10.1080/13504851.2022.2032577>), the paper by Cerulli (201, <doi:10.1080/13504851.2020.1820939>) and the book by Gareth et al (2013, <doi:10.1007/978-1-4614-7138-7>).
License: GPL-3
Encoding: UTF-8
Imports: stats, dplyr, ggplot2, pander, randomForest, tidyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-31 20:54:44 UTC; UTENTE
Repository: CRAN
Date/Publication: 2025-02-03 12:00:05 UTC

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New package gimap with initial version 1.0.1
Package: gimap
Title: Calculate Genetic Interactions for Paired CRISPR Targets
Version: 1.0.1
Description: Helps find meaningful patterns in complex genetic experiments. First gimap takes data from paired CRISPR (Clustered regularly interspaced short palindromic repeats) screens that has been pre-processed to counts table of paired gRNA (guide Ribonucleic Acid) reads. The input data will have cell counts for how well cells grow (or don't grow) when different genes or pairs of genes are disabled. The output of the 'gimap' package is genetic interaction scores which are the distance between the observed CRISPR score and the expected CRISPR score. The expected CRISPR scores are what we expect for the CRISPR values to be for two unrelated genes. The further away an observed CRISPR score is from its expected score the more we suspect genetic interaction. The work in this package is based off of original research from the Alice Berger lab at Fred Hutchinson Cancer Center (2021) <doi:10.1016/j.celrep.2021.109597>.
License: GPL-3
URL: https://github.com/FredHutch/gimap
BugReports: https://github.com/FredHutch/gimap/issues
Imports: readr, dplyr, tidyr, rmarkdown, vroom, ggplot2, magrittr, pheatmap, purrr, janitor, broom, utils, stats, stringr, httr, jsonlite, openssl
Suggests: testthat (>= 3.0.0), roxygen2, kableExtra, knitr
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-31 19:15:48 UTC; candacesavonen
Author: Candace Savonen [aut, cre], Phoebe Parrish [aut], Kate Isaac [aut], Howard Baek [aut], Daniel Grosso [aut], Siobhan O'Brien [aut], Alice Berger [aut]
Maintainer: Candace Savonen <cansav09@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-02-03 11:50:03 UTC

More information about gimap at CRAN
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New package autoimport with initial version 0.1.1
Package: autoimport
Version: 0.1.1
Title: Automatic Generation of @importFrom Tags
Description: A toolbox to read all R files inside a package and automatically generate @importFrom 'roxygen2' tags in the right place. Includes a 'shiny' application to review the changes before applying them.
License: GPL-3
URL: https://github.com/DanChaltiel/autoimport, https://danchaltiel.github.io/autoimport/
BugReports: https://github.com/DanChaltiel/autoimport/issues
Depends: R (>= 3.6.0)
Imports: cli, desc, diffviewer, digest, dplyr, fs, glue, purrr, readr, rlang, shiny, stringr, tibble, tidyr, utils
Suggests: callr, covr, devtools, knitr, pkgload, rstudioapi, testthat (>= 3.0.0), tidyverse
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-02-01 09:31:57 UTC; Dan
Author: Dan Chaltiel [aut, cre]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 12:00:02 UTC

More information about autoimport at CRAN
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New package timeplyr with initial version 1.0.0
Package: timeplyr
Title: Fast Tidy Tools for Date and Date-Time Manipulation
Version: 1.0.0
Description: A set of fast tidy functions for wrangling, completing and summarising date and date-time data. It combines 'tidyverse' syntax with the efficiency of 'data.table' and speed of 'collapse'.
License: GPL (>= 2)
BugReports: https://github.com/NicChr/timeplyr/issues
Depends: R (>= 4.0.0)
Imports: cheapr (>= 1.0.0), cli, collapse (>= 2.0.0), cppdoubles (>= 0.2.0), data.table (>= 1.14.8), dplyr (>= 1.1.0), fastplyr (>= 0.5.0), ggplot2 (>= 3.4.0), lifecycle, lubridate (>= 1.9.0), pillar (>= 1.7.0), rlang (>= 1.0.0), scales, stringr (>= 1.4.0), tidyselect (>= 1.2.0), timechange (>= 0.2.0), vctrs (>= 0.6.0)
Suggests: bench, knitr, nycflights13, outbreaks, rmarkdown, testthat (>= 3.0.0), tidyr, zoo
LinkingTo: cpp11
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-02-01 11:00:22 UTC; Nmc5
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-03 09:10:02 UTC

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Package RStoolbox updated to version 1.0.2.1 with previous version 1.0.1 dated 2025-02-01

Title: Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [aut] , Ned Horning [aut], Jakob Schwalb-Willmann [aut] , Robert J. Hijmans [ctb] , Konstantin Mueller [aut, cre]
Maintainer: Konstantin Mueller <konstantinfinn.mueller@gmx.de>

Diff between RStoolbox versions 1.0.1 dated 2025-02-01 and 1.0.2.1 dated 2025-02-03

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Package poweRlaw updated to version 1.0.0 with previous version 0.80.0 dated 2024-01-25

Title: Analysis of Heavy Tailed Distributions
Description: An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.
Author: Colin Gillespie [aut, cre]
Maintainer: Colin Gillespie <csgillespie@gmail.com>

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Package mltest updated to version 1.0.3 with previous version 1.0.2 dated 2025-02-02

Title: Classification Evaluation Metrics
Description: A fast, robust and easy-to-use calculation of multi-class classification evaluation metrics based on confusion matrix.
Author: G. Dudnik [aut, cre, cph]
Maintainer: G. Dudnik <gl.dudnik@gmail.com>

Diff between mltest versions 1.0.2 dated 2025-02-02 and 1.0.3 dated 2025-02-03

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Package datacutr updated to version 0.2.3 with previous version 0.2.2 dated 2025-01-10

Title: SDTM Datacut
Description: Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.
Author: Tim Barnett [cph, aut, cre], Nathan Rees [aut], Alana Harris [aut], Cara Andrews [aut]
Maintainer: Tim Barnett <timothy.barnett@roche.com>

Diff between datacutr versions 0.2.2 dated 2025-01-10 and 0.2.3 dated 2025-02-03

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Package rayvertex updated to version 0.12.0 with previous version 0.11.4 dated 2024-07-22

Title: 3D Software Rasterizer
Description: Rasterize images using a 3D software renderer. 3D scenes are created either by importing external files, building scenes out of the included objects, or by constructing meshes manually. Supports point and directional lights, anti-aliased lines, shadow mapping, transparent objects, translucent objects, multiple materials types, reflection, refraction, environment maps, multicore rendering, bloom, tone-mapping, and screen-space ambient occlusion.
Author: Tyler Morgan-Wall [aut, cph, cre] , Syoyo Fujita [ctb, cph], Vilya Harvey [ctb, cph], G-Truc Creation [ctb, cph], Sean Barrett [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayvertex versions 0.11.4 dated 2024-07-22 and 0.12.0 dated 2025-02-03

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Package petersenlab updated to version 1.1.0 with previous version 1.0.0 dated 2024-04-30

Title: A Collection of R Functions by the Petersen Lab
Description: A collection of R functions that are widely used by the Petersen Lab. Included are functions for various purposes, including evaluating the accuracy of judgments and predictions, performing scoring of assessments, generating correlation matrices, conversion of data between various types, data management, psychometric evaluation, extensions related to latent variable modeling, various plotting capabilities, and other miscellaneous useful functions. By making the package available, we hope to make our methods reproducible and replicable by others and to help others perform their data processing and analysis methods more easily and efficiently. The codebase is provided in Petersen (2024) <doi:10.5281/zenodo.7602890> and on CRAN: <doi: 10.32614/CRAN.package.petersenlab>. The package is described in "Principles of Psychological Assessment: With Applied Examples in R" (Petersen, 2024, 2025) <doi:10.1201/9781003357421>, <doi:10.25820/work.007199>, <doi:10.5281/zenod [...truncated...]
Author: Isaac T. Petersen [aut, cre] , Developmental Psychopathology Lab at the University of Iowa [ctb], Angela D. Staples [ctb] , Johanna Caskey [ctb] , Philipp Doebler [ctb] , Loreen Sabel [ctb]
Maintainer: Isaac T. Petersen <isaac-t-petersen@uiowa.edu>

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Package ocf updated to version 1.0.3 with previous version 1.0.1 dated 2024-09-25

Title: Ordered Correlation Forest
Description: Machine learning estimator specifically optimized for predictive modeling of ordered non-numeric outcomes. 'ocf' provides forest-based estimation of the conditional choice probabilities and the covariates’ marginal effects. Under an "honesty" condition, the estimates are consistent and asymptotically normal and standard errors can be obtained by leveraging the weight-based representation of the random forest predictions. Please reference the use as Di Francesco (2025) <doi:10.1080/07474938.2024.2429596>.
Author: Riccardo Di Francesco [aut, cre, cph]
Maintainer: Riccardo Di Francesco <difrancesco.riccardo96@gmail.com>

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Package BiostatsUHNplus updated to version 1.0.2 with previous version 1.0.1 dated 2024-12-06

Title: Nested Data Summary, Adverse Events and REDCap
Description: Tools and code snippets for summarizing nested data, adverse events and REDCap study information.
Author: Lisa Avery [aut] , Zeynep Baskurt [aut], Osvaldo Espin-Garcia [aut], Katrina Hueniken [aut], Katherine Lajkosz [aut] , Xuan Li [aut], Tyler Pittman [cre, aut] , Anna Santiago [aut] , Jessica Weiss [aut], Wei Xu [aut]
Maintainer: Tyler Pittman <tyler.pittman@uhn.ca>

Diff between BiostatsUHNplus versions 1.0.1 dated 2024-12-06 and 1.0.2 dated 2025-02-03

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Package quickcode updated to version 1.0.5 with previous version 1.0.4 dated 2025-01-14

Title: Quick and Essential 'R' Tricks for Better Scripts
Description: The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Author: Obinna Obianom [aut, cre], Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

Diff between quickcode versions 1.0.4 dated 2025-01-14 and 1.0.5 dated 2025-02-03

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Package MRS (with last version 1.2.6) was removed from CRAN

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

2023-12-11 1.2.6
2023-12-09 1.2.5
2018-01-23 1.2.4
2018-01-07 1.2.3
2017-10-17 1.2.2
2016-07-21 1.2.1
2016-07-17 1.2
2016-07-10 1.1.1
2016-01-25 1.1
2015-12-07 1.0

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Package sharpshootR (with last version 2.3.2) was removed from CRAN

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

2024-10-22 2.3.2
2024-05-29 2.3.1
2024-04-08 2.3
2023-08-24 2.2
2023-03-22 2.1
2023-01-06 2.0
2022-12-09 1.12
2022-10-04 1.11
2022-01-04 1.9
2021-12-21 1.8.4
2021-09-07 1.8.2
2021-05-04 1.8.1

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