Thu, 01 Feb 2024

Package hibayes (with last version 3.0.2) was removed from CRAN

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

2024-01-19 3.0.2
2023-11-28 3.0.1
2023-09-01 3.0.0
2022-11-19 2.0.0
2022-05-25 1.1.0
2022-01-13 1.0.1
2021-12-10 1.0.0

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Package MatTransMix (with last version 0.1.16) was removed from CRAN

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

2023-04-30 0.1.16

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Package greta updated to version 0.4.4 with previous version 0.4.3 dated 2022-09-08

Title: Simple and Scalable Statistical Modelling in R
Description: Write statistical models in R and fit them by MCMC and optimisation on CPUs and GPUs, using Google 'TensorFlow'. greta lets you write your own model like in BUGS, JAGS and Stan, except that you write models right in R, it scales well to massive datasets, and it’s easy to extend and build on. See the website for more information, including tutorials, examples, package documentation, and the greta forum.
Author: Nick Golding [aut] , Nicholas Tierney [aut, cre] , Simon Dirmeier [ctb], Adam Fleischhacker [ctb], Shirin Glander [ctb], Martin Ingram [ctb], Lee Hazel [ctb], Lionel Hertzog [ctb], Tiphaine Martin [ctb], Matt Mulvahill [ctb], Michael Quinn [ctb], Dav [...truncated...]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

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Package CVXR updated to version 1.0-12 with previous version 1.0-11 dated 2022-10-30

Title: Disciplined Convex Optimization
Description: An object-oriented modeling language for disciplined convex programming (DCP) as described in Fu, Narasimhan, and Boyd (2020, <doi:10.18637/jss.v094.i14>). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution. Interfaces to solvers on CRAN and elsewhere are provided, both commercial and open source.
Author: Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], David W Kang [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Maintainer: Anqi Fu <anqif@alumni.stanford.edu>

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Package RQuantLib updated to version 0.4.21 with previous version 0.4.20 dated 2023-11-26

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel, Khanh Nguyen , Terry Leitch
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RQuantLib versions 0.4.20 dated 2023-11-26 and 0.4.21 dated 2024-02-01

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Package rapsimng updated to version 0.4.4 with previous version 0.4.3 dated 2024-01-29

Title: APSIM Next Generation
Description: The Agricultural Production Systems sIMulator ('APSIM') is a widely used to simulate the agricultural systems for multiple crops. This package is designed to create, modify and run 'apsimx' files in the 'APSIM' Next Generation <https://www.apsim.info/>.
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>

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Package fGarch updated to version 4032.91 with previous version 4031.90 dated 2023-10-15

Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Description: Analyze and model heteroskedastic behavior in financial time series.
Author: Diethelm Wuertz [aut] , Yohan Chalabi [aut], Tobias Setz [aut], Martin Maechler [aut] , Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb], Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package dittoViz updated to version 1.0.1 with previous version 1.0.0 dated 2024-01-11

Title: User Friendly Data Visualization
Description: A comprehensive visualization toolkit built with coders of all skill levels and color-vision impaired audiences in mind. It allows creation of finely-tuned, publication-quality figures from single function calls. Visualizations include scatter plots, compositional bar plots, violin, box, and ridge plots, and more. Customization ranges from size and title adjustments to discrete-group circling and labeling, hidden data overlay upon cursor hovering via ggplotly() conversion, and many more, all with simple, discrete inputs. Color blindness friendliness is powered by legend adjustments (enlarged keys), and by allowing the use of shapes or letter-overlay in addition to the carefully selected dittoColors().
Author: Daniel Bunis [aut, cre]
Maintainer: Daniel Bunis <daniel.bunis@ucsf.edu>

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Package casebase updated to version 0.10.4 with previous version 0.10.3 dated 2022-11-16

Title: Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression
Description: Fit flexible and fully parametric hazard regression models to survival data with single event type or multiple competing causes via logistic and multinomial regression. Our formulation allows for arbitrary functional forms of time and its interactions with other predictors for time-dependent hazards and hazard ratios. From the fitted hazard model, we provide functions to readily calculate and plot cumulative incidence and survival curves for a given covariate profile. This approach accommodates any log-linear hazard function of prognostic time, treatment, and covariates, and readily allows for non-proportionality. We also provide a plot method for visualizing incidence density via population time plots. Based on the case-base sampling approach of Hanley and Miettinen (2009) <DOI:10.2202/1557-4679.1125>, Saarela and Arjas (2015) <DOI:10.1111/sjos.12125>, and Saarela (2015) <DOI:10.1007/s10985-015-9352-x>.
Author: Sahir Bhatnagar [aut, cre] , Maxime Turgeon [aut] , Jesse Islam [aut] , Olli Saarela [aut] , James Hanley [aut]
Maintainer: Sahir Bhatnagar <sahir.bhatnagar@gmail.com>

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Package admiral updated to version 1.0.1 with previous version 1.0.0 dated 2023-12-15

Title: ADaM in R Asset Library
Description: A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>).
Author: Ben Straub [aut, cre], Stefan Bundfuss [aut], Jeffrey Dickinson [aut], Ross Farrugia [aut], Adam Forys [aut], G Gayatri [aut], Daphne Grasselly [aut], Dinakar Kulkarni [aut], Edoardo Mancini [aut], Sadchla Mascary [aut], Gordon Miller [aut], Sophie S [...truncated...]
Maintainer: Ben Straub <ben.x.straub@gsk.com>

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Package SpatialVx updated to version 1.0-2 with previous version 1.0-1 dated 2022-11-08

Title: Spatial Forecast Verification
Description: Spatial forecast verification refers to verifying weather forecasts when the verification set (forecast and observations) is on a spatial field, usually a high-resolution gridded spatial field. Most of the functions here require the forecast and observed fields to be gridded and on the same grid. For a thorough review of most of the methods in this package, please see Gilleland et al. (2009) <doi: 10.1175/2009WAF2222269.1> and for a tutorial on some of the main functions available here, see Gilleland (2022) <doi: 10.5065/4px3-5a05>.
Author: Eric Gilleland [aut, cre], Kim Elmore [ctb], Caren Marzban [ctb], Matt Pocernich [ctb], Gregor Skok [ctb]
Maintainer: Eric Gilleland <EricG@ucar.edu>

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Package revss updated to version 1.0.6 with previous version 1.0.5 dated 2023-02-01

Title: Robust Estimation in Very Small Samples
Description: Implements the estimation techniques described in Rousseeuw & Verboven (2002) <doi:10.1016/S0167-9473(02)00078-6> for the location and scale of very small samples.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package nanoarrow updated to version 0.4.0 with previous version 0.3.0.1 dated 2023-12-07

Title: Interface to the 'nanoarrow' 'C' Library
Description: Provides an 'R' interface to the 'nanoarrow' 'C' library and the 'Apache Arrow' application binary interface. Functions to import and export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures to and from 'R' objects are provided alongside helpers to facilitate zero-copy data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C' data interface.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between nanoarrow versions 0.3.0.1 dated 2023-12-07 and 0.4.0 dated 2024-02-01

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Package geepack updated to version 1.3.10 with previous version 1.3.9 dated 2022-08-16

Title: Generalized Estimating Equation Package
Description: Generalized estimating equations solver for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can also handle clustered categorical responses. See e.g. Halekoh and Højsgaard, (2005, <doi:10.18637/jss.v015.i02>), for details.
Author: Soeren Hoejsgaard [aut, cre, cph], Ulrich Halekoh [aut, cph], Jun Yan [aut, cph], Claus Thorn Ekstroem [ctb]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package nlmixr2 updated to version 2.1.1 with previous version 2.1.0 dated 2024-01-09

Title: Nonlinear Mixed Effects Models in Population PK/PD
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [ctb], Rik Schoemaker [ctb] , Justin Wilkins [ctb] , Wenping Wang [ctb], Mirjam Trame [ctb], Huijuan Xu [ctb], John Harrold [ctb], Bill Denney [ctb] , Theodoros Papathanasiou [ctb], Teun Post [ctb], Richard Hooi [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package lidR updated to version 4.1.0 with previous version 4.0.4 dated 2023-09-07

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] , Florian De Boissieu [ctb] , Andrew Sanchez Meador [ctb] for segment_snags), Bourdon Jean-Francois [ctb] for track_sensor), Gatziolis Demetrios [ctb] for track_sensor), Leon Steinmeier [c [...truncated...]
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

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Package unifir updated to version 0.2.4 with previous version 0.2.3 dated 2022-12-02

Title: A Unifying API for Calling the 'Unity' '3D' Video Game Engine
Description: Functions for the creation and manipulation of scenes and objects within the 'Unity' '3D' video game engine (<https://unity.com/>). Specific focuses include the creation and import of terrain data and 'GameObjects' as well as scene management.
Author: Michael Mahoney [aut, cre] , Will Jones [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/521>), Tan Tran [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/521>)
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

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Package rgraph6 updated to version 2.0-4 with previous version 2.0-3 dated 2023-12-07

Title: Representing Graphs as 'graph6', 'digraph6' or 'sparse6' Strings
Description: Encode network data as strings of printable ASCII characters. Implemented functions include encoding and decoding adjacency matrices, edgelists, igraph, and network objects to/from formats 'graph6', 'sparse6', and 'digraph6'. The formats and methods are described in McKay, B.D. and Piperno, A (2014) <doi:10.1016/j.jsc.2013.09.003>.
Author: Michal Bojanowski [aut, cre] , David Schoch [aut]
Maintainer: Michal Bojanowski <michal2992@gmail.com>

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Package intergraph updated to version 2.0-4 with previous version 2.0-3 dated 2023-08-20

Title: Coercion Routines for Network Data Objects
Description: Functions implemented in this package allow to coerce (i.e. convert) network data between classes provided by other R packages. Currently supported classes are those defined in packages: network and igraph.
Author: Michal Bojanowski [aut, cre]
Maintainer: Michal Bojanowski <michal2992@gmail.com>

Diff between intergraph versions 2.0-3 dated 2023-08-20 and 2.0-4 dated 2024-02-01

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Package indexthis updated to version 1.0.1 with previous version 1.0.0 dated 2024-01-26

Title: Quick Indexation
Description: Quick indexation of any type of vector or of any combination of those. Indexation turns a vector into an integer vector going from 1 to the number of unique elements. Indexes are important building blocks for many algorithms. The method is described at <https://github.com/lrberge/indexthis/>.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb], Morgan Jacob [ctb]
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

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Package countland updated to version 0.1.2 with previous version 0.1.1 dated 2022-08-17

Title: Analysis of Biological Count Data, Especially from Single-Cell RNA-Seq
Description: A set of functions for applying a restricted linear algebra to the analysis of count-based data. See the accompanying preprint manuscript: "Normalizing need not be the norm: count-based math for analyzing single-cell data" Church et al (2022) <doi:10.1101/2022.06.01.494334> This tool is specifically designed to analyze count matrices from single cell RNA sequencing assays. The tools implement several count-based approaches for standard steps in single-cell RNA-seq analysis, including scoring genes and cells, comparing cells and clustering, calculating differential gene expression, and several methods for rank reduction. There are many opportunities for further optimization that may prove useful in the analysis of other data. We provide the source code freely available at <https://github.com/shchurch/countland> and encourage users and developers to fork the code for their own purposes.
Author: Church Samuel H. [aut, cre]
Maintainer: Church Samuel H. <samuelhchurch@gmail.com>

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Package xpose updated to version 0.4.18 with previous version 0.4.17 dated 2023-06-29

Title: Diagnostics for Pharmacometric Models
Description: Diagnostics for non-linear mixed-effects (population) models from 'NONMEM' <https://www.iconplc.com/solutions/technologies/nonmem/>. 'xpose' facilitates data import, creation of numerical run summary and provide 'ggplot2'-based graphics for data exploration and model diagnostics.
Author: Benjamin Guiastrennec [aut, cre, cph], Andrew C. Hooker [aut, cph], Sebastian Ueckert [aut, cph], Mike K. Smith [ctb], Mats O. Karlsson [aut, cph]
Maintainer: Benjamin Guiastrennec <guiastrennec@gmail.com>

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Package sfsmisc updated to version 1.1-17 with previous version 1.1-16 dated 2023-08-10

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] , Werner Stahel [ctb] , f.robftest, last, p.scales, p.dnorm), Andreas Ruckstuhl [ctb] , p.profileTraces, p.res.2x), Christian Keller [ctb] , p.tachoPlot), Kjetil Halvorsen [ctb] , ecdf.ksCI), Alain Hauser [ctb] , is.whole, [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package rsyncrosim updated to version 1.5.0 with previous version 1.4.9 dated 2023-10-07

Title: The R Interface to 'SyncroSim'
Description: 'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher (API documentation: <https://docs.syncrosim.com/>).
Author: Colin Daniel [aut], Josie Hughes [aut], Valentin Lucet [aut], Alex Embrey [aut], Katie Birchard [aut, cre], Leonardo Frid [aut], Tabitha Kennedy [aut], Shreeram Senthivasan [aut], ApexRMS [cph]
Maintainer: Katie Birchard <katie.birchard@apexrms.com>

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Package readODS updated to version 2.2.0 with previous version 2.1.0 dated 2023-09-10

Title: Read and Write ODS Files
Description: Read ODS (OpenDocument Spreadsheet) into R as data frame. Also support writing data frame into ODS file.
Author: Gerrit-Jan Schutten [aut], Chung-hong Chan [aut, cre] , Peter Brohan [aut], Detlef Steuer [aut] , Thomas J. Leeper [aut] , John Foster [ctb], Sergio Oller [ctb], Jim Hester [ctb] , Stephen Watts [ctb], Arthur Katossky [ctb], Stas Malavin [ctb], Dunca [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between readODS versions 2.1.0 dated 2023-09-10 and 2.2.0 dated 2024-02-01

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Package blogdown updated to version 1.19 with previous version 1.18 dated 2023-06-18

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Alison Presmanes Hill [aut] , Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb] [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between blogdown versions 1.18 dated 2023-06-18 and 1.19 dated 2024-02-01

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Package SIPDIBGE updated to version 0.2.1 with previous version 0.2.0 dated 2023-11-21

Title: Collection of Household Survey Packages Conducted by IBGE
Description: Provides access to packages developed for downloading, reading and analyzing microdata from household surveys in Integrated System of Household Surveys - SIPD conducted by Brazilian Institute of Geography and Statistics - IBGE. More information can be obtained from the official website <https://www.ibge.gov.br/>.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb], Viviane Quintaes [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

Diff between SIPDIBGE versions 0.2.0 dated 2023-11-21 and 0.2.1 dated 2024-02-01

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Package REDCapDM updated to version 0.9.6 with previous version 0.9.5 dated 2023-12-21

Title: 'REDCap' Data Management
Description: REDCap Data Management - REDCapDM is a comprehensive package that enables users to seamlessly handle data exported directly from REDCap or through API connections. This tool facilitates various functions, including data preprocessing, report generation for queries such as outliers or missing values, and tracking of identified queries. 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>) is a web application developed at Vanderbilt University, designed for creating and managing online surveys and databases. The API connection provides users with the capability to programmatically access both data and project metadata, including the data dictionary, from the web.
Author: Joao Carmezim [aut, cre], Pau Satorra [aut], Judith Penafiel [aut], Esther Garcia [aut], Natalia Pallares [aut], Cristian Tebe [aut]
Maintainer: Joao Carmezim <jcarmezim@igtp.cat>

Diff between REDCapDM versions 0.9.5 dated 2023-12-21 and 0.9.6 dated 2024-02-01

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Package PNSIBGE updated to version 0.2.1 with previous version 0.2.0 dated 2023-11-18

Title: Downloading, Reading and Analyzing PNS Microdata
Description: Provides tools for downloading, reading and analyzing the National Survey of Health - PNS, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb], Viviane Quintaes [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

Diff between PNSIBGE versions 0.2.0 dated 2023-11-18 and 0.2.1 dated 2024-02-01

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Package PNDSIBGE updated to version 0.1.1 with previous version 0.1.0 dated 2023-11-21

Title: Downloading, Reading and Analyzing PNDS Microdata - Package in Development
Description: Provides tools for downloading, reading and analyzing the National Survey of Demographic and Health - PNDS, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb], Viviane Quintaes [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

Diff between PNDSIBGE versions 0.1.0 dated 2023-11-21 and 0.1.1 dated 2024-02-01

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Permanent link

Package PNADcIBGE updated to version 0.7.5 with previous version 0.7.4 dated 2023-11-18

Title: Downloading, Reading and Analyzing PNADC Microdata
Description: Provides tools for downloading, reading and analyzing the Continuous National Household Sample Survey - PNADC, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Douglas Braga [aut], Gabriel Assuncao [aut, cre], Luna Hidalgo [ctb], Viviane Quintaes [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

Diff between PNADcIBGE versions 0.7.4 dated 2023-11-18 and 0.7.5 dated 2024-02-01

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Permanent link

Package phylosem updated to version 1.1.3 with previous version 1.1.2 dated 2023-12-20

Title: Phylogenetic Structural Equation Model
Description: Applies phylogenetic comparative methods (PCM) and phylogenetic trait imputation using structural equation models (SEM), extending methods from Thorson et al. (2023) <doi:10.1111/2041-210X.14076>. This implementation includes a minimal set of features, to allow users to easily read all of the documentation and source code. PCM using SEM includes phylogenetic linear models and structural equation models as nested submodels, but also allows imputation of missing values. Features and comparison with other packages are described in Thorson and van der Bijl (2023) <doi:10.1111/jeb.14234>.
Author: James Thorson [aut, cre] , Wouter van der Bijl [ctb]
Maintainer: James Thorson <James.Thorson@noaa.gov>

Diff between phylosem versions 1.1.2 dated 2023-12-20 and 1.1.3 dated 2024-02-01

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More information about phylosem at CRAN
Permanent link

Package COVIDIBGE updated to version 0.2.2 with previous version 0.2.1 dated 2023-11-18

Title: Downloading, Reading and Analyzing PNAD COVID19 Microdata
Description: Provides tools for downloading, reading and analyzing the COVID19 National Household Sample Survey - PNAD COVID19, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb], Viviane Quintaes [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

Diff between COVIDIBGE versions 0.2.1 dated 2023-11-18 and 0.2.2 dated 2024-02-01

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More information about COVIDIBGE at CRAN
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Package PWEXP updated to version 0.4.4 with previous version 0.4.3 dated 2023-12-17

Title: Piecewise Exponential Distribution Prediction Model
Description: Build piecewise exponential survival model for study design (planning) and event/timeline prediction.
Author: Tianchen Xu [aut, cre]
Maintainer: Tianchen Xu <zjph602xutianchen@gmail.com>

Diff between PWEXP versions 0.4.3 dated 2023-12-17 and 0.4.4 dated 2024-02-01

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More information about PWEXP at CRAN
Permanent link

Package penaltyLearning updated to version 2024.1.25 with previous version 2023.8.31 dated 2023-09-06

Title: Penalty Learning
Description: Implementations of algorithms from Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression, by Hocking, Rigaill, Vert, Bach <http://proceedings.mlr.press/v28/hocking13.html> published in proceedings of ICML2013.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between penaltyLearning versions 2023.8.31 dated 2023-09-06 and 2024.1.25 dated 2024-02-01

 DESCRIPTION                      |    6 +++---
 MD5                              |    8 ++++----
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Permanent link

Package pastecs updated to version 1.4.2 with previous version 1.3.21 dated 2018-03-15

Title: Package for Analysis of Space-Time Ecological Series
Description: Regularisation, decomposition and analysis of space-time series. The pastecs R package is a PNEC-Art4 and IFREMER (Benoit Beliaeff <Benoit.Beliaeff@ifremer.fr>) initiative to bring PASSTEC 2000 functionalities to R.
Author: Philippe Grosjean [aut, cre] , Frederic Ibanez [aut], Michele Etienne [ctb]
Maintainer: Philippe Grosjean <phgrosjean@sciviews.org>

Diff between pastecs versions 1.3.21 dated 2018-03-15 and 1.4.2 dated 2024-02-01

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Package nc updated to version 2024.1.31 with previous version 2023.8.24 dated 2023-08-31

Title: Named Capture to Data Tables
Description: User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression C libraries (PCRE, RE2, ICU). Output can also include numeric columns via user-specified type conversion functions.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between nc versions 2023.8.24 dated 2023-08-31 and 2024.1.31 dated 2024-02-01

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 nc-2024.1.31/nc/R/capture_longer_spec.R                                                             |   82 
 nc-2024.1.31/nc/R/capture_melt_multiple.R                                                           |  349 
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 nc-2024.1.31/nc/R/check_names.R                                                                     |  154 
 nc-2024.1.31/nc/R/field.R                                                                           |  198 
 nc-2024.1.31/nc/R/group.R                                                                           |  118 
 nc-2024.1.31/nc/R/measure.R                                                                         |  343 
 nc-2024.1.31/nc/R/only_captures.R                                                                   |   28 
 nc-2024.1.31/nc/R/quantifier.R                                                                      |  128 
 nc-2024.1.31/nc/R/stop_for.R                                                                        |  100 
 nc-2024.1.31/nc/R/try.R                                                                             |   32 
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 nc-2024.1.31/nc/man/altlist.Rd                                                                      |  106 
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 nc-2024.1.31/nc/man/check_names.Rd                                                                  |   40 
 nc-2024.1.31/nc/man/collapse_some.Rd                                                                |   46 
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 nc-2024.1.31/nc/man/measure_single.Rd                                                               |   48 
 nc-2024.1.31/nc/man/melt_list.Rd                                                                    |   42 
 nc-2024.1.31/nc/man/only_captures.Rd                                                                |   40 
 nc-2024.1.31/nc/man/quantifier.Rd                                                                   |  124 
 nc-2024.1.31/nc/man/stop_for_capture_same_as_id.Rd                                                  |   38 
 nc-2024.1.31/nc/man/stop_for_engine.Rd                                                              |   34 
 nc-2024.1.31/nc/man/stop_for_subject.Rd                                                             |   34 
 nc-2024.1.31/nc/man/subject_var_args.Rd                                                             |   34 
 nc-2024.1.31/nc/man/try_or_stop_print_pattern.Rd                                                    |   44 
 nc-2024.1.31/nc/man/var_args_list.Rd                                                                |   84 
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 nc-2024.1.31/nc/tests/testthat/test-CRAN-glob.R                                                     |   34 
 nc-2024.1.31/nc/tests/testthat/test-CRAN-group.R                                                    |   56 
 nc-2024.1.31/nc/tests/testthat/test-CRAN-longer.R                                                   |   54 
 nc-2024.1.31/nc/tests/testthat/test-CRAN-measure.R                                                  |   60 
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Permanent link

New package distrDoc with initial version 2.8.2
Package: distrDoc
Version: 2.8.2
Date: 2024-02-01
Title: Documentation for 'distr' Family of R Packages
Description: Provides documentation in form of a common vignette to packages 'distr', 'distrEx', 'distrMod', 'distrSim', 'distrTEst', 'distrTeach', and 'distrEllipse'.
Depends: R(>= 3.4)
Imports: distr(>= 2.2.0), distrEx(>= 2.2.0), distrSim(>= 2.2.0), distrTEst(>= 2.2.0), distrTeach(>= 2.2.0), RandVar(>= 0.7), distrMod(>= 2.2.0), MASS, methods, startupmsg
Suggests: Biobase, knitr
VignetteBuilder: knitr
ByteCompile: yes
License: LGPL-3
URL: http://distr.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate: 2024-01-31 17:12:45 +0100 (Mi, 31 Jan 2024) $}
LastChangedRevision: {$LastChangedRevision: 1432 $}
VCS/SVNRevision: 1435
NeedsCompilation: no
Packaged: 2024-02-01 12:08:01 UTC; ruckdesc
Author: Florian Camphausen [ctb] , Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], Thomas Stabla [ctb]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>
Repository: CRAN
Date/Publication: 2024-02-01 15:00:02 UTC

More information about distrDoc at CRAN
Permanent link

Package atime updated to version 2024.1.31 with previous version 2024.1.24 dated 2024-01-24

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

Diff between atime versions 2024.1.24 dated 2024-01-24 and 2024.1.31 dated 2024-02-01

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Package vvtableau updated to version 0.5.0 with previous version 0.4.0 dated 2024-01-09

Title: R Interface for 'Tableau' Services
Description: Provides an R interface for interacting with the 'Tableau' Server. It allows users to perform various operations such as publishing workbooks, refreshing data extracts, and managing users using the 'Tableau' REST API (see <https://help.tableau.com/current/api/rest_api/en-us/REST/rest_api_ref.htm> for details). Additionally, it includes functions to perform manipulations on local 'Tableau' workbooks.
Author: Tomer Iwan [aut, cre], Ruben Korvinus [ctb], VU Analytics [cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>

Diff between vvtableau versions 0.4.0 dated 2024-01-09 and 0.5.0 dated 2024-02-01

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 R/update_group.R                            |  124 ++--
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 R/utils-pipe.R                              |   28 
 README.md                                   |   76 +-
 build/vignette.rds                          |binary
 inst/doc/download_filtered_views.R          |   68 +-
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 man/get_tableau_data_source.Rd              |   84 +-
 man/get_users_in_group.Rd                   |  136 ++--
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Package reclin2 updated to version 0.4.0 with previous version 0.3.4 dated 2023-07-21

Title: Record Linkage Toolkit
Description: Functions to assist in performing probabilistic record linkage and deduplication: generating pairs, comparing records, em-algorithm for estimating m- and u-probabilities (I. Fellegi & A. Sunter (1969) <doi:10.1080/01621459.1969.10501049>, T.N. Herzog, F.J. Scheuren, & W.E. Winkler (2007), "Data Quality and Record Linkage Techniques", ISBN:978-0-387-69502-0), forcing one-to-one matching. Can also be used for pre- and post-processing for machine learning methods for record linkage. Focus is on memory, CPU performance and flexibility.
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>

Diff between reclin2 versions 0.3.4 dated 2023-07-21 and 0.4.0 dated 2024-02-01

 DESCRIPTION                                         |    6 
 MD5                                                 |   56 -
 NAMESPACE                                           |    2 
 NEWS                                                |   23 
 R/cluster_collect.R                                 |    5 
 R/cluster_compare_vars.R                            |    8 
 R/cluster_predict_problinkem.R                      |    2 
 R/comparators.R                                     |   10 
 R/compare_vars.R                                    |    4 
 R/greedy.R                                          |    2 
 R/predict_problink_em.R                             |   19 
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 R/select_n_to_m.R                                   |    6 
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 man/cluster_collect.Rd                              |    5 
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 man/predict.problink_em.Rd                          |    4 
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 tests/test_compare_vars.R                           |   20 
 tests/test_greedy.R                                 |   32 
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 30 files changed, 1549 insertions(+), 1092 deletions(-)

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Package GREENeR updated to version 1.0.0 with previous version 0.1.3 dated 2023-11-16

Title: Geospatial Regression Equation for European Nutrient Losses (GREEN)
Description: Tools and methods to apply the model Geospatial Regression Equation for European Nutrient losses (GREEN); Grizzetti et al. (2005) <doi:10.1016/j.jhydrol.2004.07.036>; Grizzetti et al. (2008); Grizzetti et al. (2012) <doi:10.1111/j.1365-2486.2011.02576.x>; Grizzetti et al. (2021) <doi:10.1016/j.gloenvcha.2021.102281>.
Author: A. Udias [aut], B. Grizzetti [aut], O. Vigiak [aut], J. Gomez [aut], C. Alfaro [aut, cre], A. Aloe [aut]
Maintainer: C. Alfaro <c.alfarog@gmail.com>

Diff between GREENeR versions 0.1.3 dated 2023-11-16 and 1.0.0 dated 2024-02-01

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Package nnlib2Rcpp updated to version 0.2.4 with previous version 0.2.3 dated 2023-09-04

Title: A Tool for Creating Custom Neural Networks in C++ and using Them in R
Description: Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.
Author: Vasilis Nikolaidis [aut, cph, cre]
Maintainer: Vasilis Nikolaidis <v.nikolaidis@uop.gr>

Diff between nnlib2Rcpp versions 0.2.3 dated 2023-09-04 and 0.2.4 dated 2024-02-01

 DESCRIPTION            |    6 -
 LICENSE                |    4 -
 MD5                    |   28 +++----
 NAMESPACE              |    8 +-
 build/partial.rdb      |binary
 build/vignette.rds     |binary
 inst/doc/manual.pdf    |binary
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 man/NN-components.Rd   |   66 +++++++++---------
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 15 files changed, 224 insertions(+), 221 deletions(-)

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New package TestGenerator with initial version 0.2.5
Package: TestGenerator
Title: Integration Unit Tests for Pharmacoepidemiological Studies
Version: 0.2.5
Maintainer: Cesar Barboza <c.barboza@darwin-eu.org>
Description: Push a sample population for unit testing on data mapped to the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: fs, jsonlite, readxl, usethis, CDMConnector, DBI, dplyr, checkmate, glue, duckdb
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/darwin-eu-dev/TestGenerator, https://darwin-eu-dev.github.io/TestGenerator/
BugReports: https://github.com/darwin-eu-dev/TestGenerator/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-30 09:49:05 UTC; cbarboza
Author: Cesar Barboza [cre, aut] , Ger Inberg [aut] , Adam Black [aut]
Repository: CRAN
Date/Publication: 2024-02-01 10:30:13 UTC

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New package SurrogateBMA with initial version 1.0
Package: SurrogateBMA
Title: Flexible Evaluation of Surrogate Markers with Bayesian Model Averaging
Version: 1.0
Date: 2024-01-21
Description: Provides functions to estimate the proportion of treatment effect explained by the surrogate marker using a Bayesian Model Averaging approach. Duan and Parast (2023) <doi:10.1002/sim.9986>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.9), MCMCpack, mvtnorm, Rsurrogate
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-01-29 21:01:37 UTC; yunshanduan
Author: Yunshan Duan [aut, cre], Layla Parast [aut]
Maintainer: Yunshan Duan <yunshan@utexas.edu>
Repository: CRAN
Date/Publication: 2024-02-01 10:20:06 UTC

More information about SurrogateBMA at CRAN
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New package SKFCPD with initial version 0.2.3
Package: SKFCPD
Title: Fast Online Changepoint Detection for Temporally Correlated Data
Version: 0.2.3
Date: 2024-01-30
Maintainer: Hanmo Li <hanmo@pstat.ucsb.edu>
Author: Hanmo Li [aut, cre], Yuedong Wang [aut], Mengyang Gu [aut]
Description: Sequential Kalman filter for scalable online changepoint detection by temporally correlated data. It enables fast single and multiple change points with missing values. See the reference: Hanmo Li, Yuedong Wang, Mengyang Gu (2023), <arXiv:2310.18611>.
License: GPL (>= 3)
Depends: R (>= 3.5.0), methods (>= 4.2.2), rlang (>= 1.0.6), ggplot2 (>= 3.4.0), ggpubr (>= 0.5.0), reshape2 (>= 1.4.4), FastGaSP (>= 0.5.2)
Imports: Rcpp (>= 1.0.9)
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2024-01-31 03:02:47 UTC; lihan
Repository: CRAN
Date/Publication: 2024-02-01 11:00:06 UTC

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New package rbbnp with initial version 0.1.0
Package: rbbnp
Title: A Bias Bound Approach to Non-Parametric Inference
Version: 0.1.0
Maintainer: Xinyu DAI <xinyu_dai@brown.edu>
Description: A novel bias-bound approach for non-parametric inference is introduced, focusing on both density and conditional expectation estimation. It constructs valid confidence intervals that account for the presence of a non-negligible bias and thus make it possible to perform inference with optimal mean squared error minimizing bandwidths. This package is based on Schennach (2020) <doi:10.1093/restud/rdz065>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://doi.org/10.1093/restud/rdz065
Imports: purrr, pracma, tidyr, dplyr, ggplot2, gridExtra
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2024-01-30 00:58:07 UTC; 53500
Author: Xinyu DAI [aut, cre], Susanne M Schennach [aut]
Repository: CRAN
Date/Publication: 2024-02-01 10:40:02 UTC

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New package NoviceDeveloperResources2 with initial version 1.0
Package: NoviceDeveloperResources2
Version: 1.0
Date: 2024-01-30
Title: Further Resources to Assist Novice Developers
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Depends: R (>= 4.2.0)
Imports: packrat, NoviceDeveloperResources
Description: Assist novice developers when preparing a single package or a set of integrated packages to submit to CRAN. Provide additional resources to facilitate the automation of the following individual or batch processing: check local source packages; build local .tar.gz source files; install packages from local .tar.gz files; detect conflicts between function names in the environment. The additional resources include determining the identity and ordering of the packages to process when updating an imported package.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-01-30 19:10:53 UTC; barryzeeberg
Author: Barry Zeeberg [aut, cre]
Repository: CRAN
Date/Publication: 2024-02-01 11:00:09 UTC

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Package mlr3misc updated to version 0.14.0 with previous version 0.13.0 dated 2023-09-20

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] , Patrick Schratz [aut]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3misc versions 0.13.0 dated 2023-09-20 and 0.14.0 dated 2024-02-01

 DESCRIPTION                      |    8 ++--
 MD5                              |   27 ++++++++--------
 NAMESPACE                        |    5 +++
 NEWS.md                          |    8 ++++
 R/Dictionary.R                   |   36 +++++++++++++---------
 R/calculate_hash.R               |   63 ++++++++++++++++++++++++++-------------
 R/crate.R                        |   20 +++++++++++-
 R/leanify.R                      |   14 ++++++++
 R/zzz.R                          |    1 
 man/Dictionary.Rd                |   26 +++++++++-------
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 man/crate.Rd                     |    7 +++-
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 tests/testthat/test_Dictionary.R |   22 ++++++-------
 tests/testthat/test_crate.R      |    6 +++
 15 files changed, 171 insertions(+), 90 deletions(-)

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New package klovan with initial version 0.1.0
Package: klovan
Title: Geostatistics Methods and Klovan Data
Version: 0.1.0
Description: A comprehensive set of geostatistical, visual, and analytical methods, in conjunction with the expanded version of the acclaimed J.E. Klovan's mining dataset, are included in 'klovan'. This makes the package an excellent learning resource for Principal Component Analysis (PCA), Factor Analysis (FA), kriging, and other geostatistical techniques. Originally published in the 1976 book 'Geological Factor Analysis', the included mining dataset was assembled by Professor J. E. Klovan of the University of Calgary. Being one of the first applications of FA in the geosciences, this dataset has significant historical importance. As a well-regarded and published dataset, it is an excellent resource for demonstrating the capabilities of PCA, FA, kriging, and other geostatistical techniques in geosciences. For those interested in these methods, the 'klovan' datasets provide a valuable and illustrative resource. Note that some methods require the 'RGeostats' package. Please refer to the README or Ad [...truncated...]
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: MASS, dplyr, fields, GGally, ggforce, ggplot2, ggrepel, gstat, metR, pracma, sp, tibble, magrittr, tidyselect
Suggests: testthat (>= 3.0.0), sf, spelling, knitr, rmarkdown, RGeostats
Additional_repositories: http://rgeostats.free.fr
Encoding: UTF-8
LazyData: true
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-29 17:06:30 UTC; jeg165
Author: Jonathan E Gordon [aut] , Eric K Helfer [aut] , Hope E Omodolor [aut] , Jeffery M Yarus [aut] , Roger H French [aut, cre, cph]
Maintainer: Roger H French <rxf131@case.edu>
Repository: CRAN
Date/Publication: 2024-02-01 10:20:02 UTC

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New package kedd with initial version 1.0.4
Package: kedd
Version: 1.0.4
License: GPL (>= 2)
Description: Smoothing techniques and computing bandwidth selectors of the nth derivative of a probability density for one-dimensional data (described in Arsalane Chouaib Guidoum (2020) <arXiv:2012.06102> [stat.CO]).
Title: Kernel Estimator and Bandwidth Selection for Density and Its Derivatives
Date: 2024-01-27
Depends: R (>= 2.15.0)
Suggests: nor1mix, ks, sm, locfit, orthopolynom
URL: https://gitlab.com/iagogv/kedd
BugReports: https://gitlab.com/iagogv/kedd/-/issues
Encoding: UTF-8
LazyData: yes
NeedsCompilation: no
Classification/MSC: 62G05, 62G07, 65D10, 68N15
Packaged: 2024-01-30 23:24:45 UTC; iago
Author: Iago Gine-Vazquez [cre] , Arsalane Chouaib Guidoum [aut]
Maintainer: Iago Gine-Vazquez <iago.gin-vaz@protonmail.com>
Repository: CRAN
Date/Publication: 2024-02-01 11:00:02 UTC

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New package excel2eprime with initial version 0.4.0
Package: excel2eprime
Title: Split Sentences by Factors
Version: 0.4.0
Author: Jack Will
Maintainer: Jack Will <wujackwill@outlook.com>
Description: Split experiment sentences by different experiment design given by the user and the result can be used in 'E-prime' (<https://pstnet.com/products/e-prime/>).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, magrittr, readxl, stringr, tidyr
URL: https://github.com/wujackwill/excel2eprime
NeedsCompilation: no
Packaged: 2024-01-30 05:50:12 UTC; jackwill
Repository: CRAN
Date/Publication: 2024-02-01 10:30:03 UTC

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New package chevron with initial version 0.2.5
Package: chevron
Title: Standard TLGs for Clinical Trials Reporting
Version: 0.2.5
Date: 2024-01-30
Description: Provide standard tables, listings, and graphs (TLGs) libraries used in clinical trials. This package implements a structure to reformat the data with 'dunlin', create reporting tables using 'rtables' and 'tern' with standardized input arguments to enable quick generation of standard outputs. In addition, it also provides comprehensive data checks and script generation functionality.
License: Apache License 2.0
URL: https://insightsengineering.github.io/chevron/, https://github.com/insightsengineering/chevron/
BugReports: https://github.com/insightsengineering/chevron/issues
Depends: R (>= 4.0.0)
Imports: checkmate (>= 2.1.0), dplyr (>= 1.1.0), dunlin (>= 0.1.7), forcats (>= 1.0.0), formatters (>= 0.5.5), ggplot2 (>= 3.4.0), glue (>= 1.0.0), grid, lifecycle (>= 0.2.0), magrittr (>= 1.5), methods, nestcolor (>= 0.1.1), purrr (>= 0.3.0), rlang (>= 1.0.0), rlistings (>= 0.2.7), rtables (>= 0.6.6), stringr (>= 1.4.1), tern (>= 0.9.3), tibble (>= 2.0.0), utils
Suggests: knitr (>= 1.42), rmarkdown (>= 2.19), testthat (>= 3.0.4), tidyr (>= 0.8.3), vdiffr (>= 1.0.0), withr (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-01-30 07:48:25 UTC; root
Author: Liming Li [aut, cre], Benoit Falquet [aut], Xiaoli Duan [aut], Adrian Waddell [ctb], Chenkai Lv [ctb], Pawel Rucki [ctb], Tim Barnett [ctb], Tian Fang [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Liming Li <liming.li@roche.com>
Repository: CRAN
Date/Publication: 2024-02-01 10:30:06 UTC

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Package tsDyn updated to version 11.0.4.1 with previous version 11.0.4 dated 2023-01-26

Title: Nonlinear Time Series Models with Regime Switching
Description: Implements nonlinear autoregressive (AR) time series models. For univariate series, a non-parametric approach is available through additive nonlinear AR. Parametric modeling and testing for regime switching dynamics is available when the transition is either direct (TAR: threshold AR) or smooth (STAR: smooth transition AR, LSTAR). For multivariate series, one can estimate a range of TVAR or threshold cointegration TVECM models with two or three regimes. Tests can be conducted for TVAR as well as for TVECM (Hansen and Seo 2002 and Seo 2006).
Author: Antonio Fabio Di Narzo [aut] , Jose Luis Aznarte [ctb] , Matthieu Stigler [aut, cre]
Maintainer: Matthieu Stigler <Matthieu.Stigler@gmail.com>

Diff between tsDyn versions 11.0.4 dated 2023-01-26 and 11.0.4.1 dated 2024-02-01

 tsDyn-11.0.4.1/tsDyn/DESCRIPTION                      |    6 ++--
 tsDyn-11.0.4.1/tsDyn/MD5                              |   26 +++++++++---------
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Package secretbase updated to version 0.2.0 with previous version 0.1.0 dated 2024-01-22

Title: Cryptographic Hash and Extendable-Output Functions
Description: SHA-3 cryptographic hash and SHAKE256 extendable-output functions (XOF). The SHA-3 Secure Hash Standard was published by the National Institute of Standards and Technology (NIST) in 2015 at <doi:10.6028/NIST.FIPS.202>. Fast and memory-efficient implementation using the core algorithm from 'Mbed TLS' under the Trusted Firmware Project <https://www.trustedfirmware.org/projects/mbed-tls/>.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package rPBK updated to version 0.2.3 with previous version 0.2.2 dated 2023-09-11

Title: Inference and Prediction of Generic Physiologically-Based Kinetic Models
Description: Fit and simulate any kind of physiologically-based kinetic ('PBK') models whatever the number of compartments. Moreover, it allows to account for any link between pairs of compartments, as well as any link of each of the compartments with the external medium. Such generic PBK models have today applications in pharmacology (PBPK models) to describe drug effects, in toxicology and ecotoxicology (PBTK models) to describe chemical substance effects. In case of exposure to a parent compound (drug or chemical) the 'rPBK' package allows to consider metabolites, whatever their number and their phase (I, II, ...). Last but not least, package 'rPBK' can also be used for dynamic flux balance analysis (dFBA) to deal with metabolic networks. See also Charles et al. (2022) <doi:10.1101/2022.04.29.490045>.
Author: Virgile Baudrot [aut, cre], Sandrine Charles [aut], Christelle Lopes [aut], Ophelia Gestin [ctb], Dominique Lamonica [ctb], Aurelie Siberchicot [ctb]
Maintainer: Virgile Baudrot <virgile.baudrot@qonfluens.com>

Diff between rPBK versions 0.2.2 dated 2023-09-11 and 0.2.3 dated 2024-02-01

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Package neat updated to version 1.2.4 with previous version 1.2.3 dated 2021-01-07

Title: Efficient Network Enrichment Analysis Test
Description: Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in Signorelli et al. (2016, <DOI:10.1186/s12859-016-1203-6>).
Author: Mirko Signorelli [aut, cre, cph] , Veronica Vinciotti [ctb], Ernst Wit [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

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Package fracdiff updated to version 1.5-3 with previous version 1.5-2 dated 2022-10-31

Title: Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models
Description: Maximum likelihood estimation of the parameters of a fractionally differenced ARIMA(p,d,q) model (Haslett and Raftery, Appl.Statistics, 1989); including inference and basic methods. Some alternative algorithms to estimate "H".
Author: Martin Maechler [aut, cre] , Chris Fraley [ctb, cph] , Friedrich Leisch [ctb] , Valderio Reisen [ctb] & fdSperio), Artur Lemonte [ctb] & fdSperio), Rob Hyndman [ctb] & fitted, <https://orcid.org/0000-0002-2140-5352>)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between fracdiff versions 1.5-2 dated 2022-10-31 and 1.5-3 dated 2024-02-01

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New package distrMod with initial version 2.9.1
Package: distrMod
Version: 2.9.1
Date: 2024-01-30
Title: Object Oriented Implementation of Probability Models
Description: Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.
Depends: R(>= 3.4), distr(>= 2.8.0), distrEx(>= 2.8.0), RandVar(>= 1.2.0), MASS, stats4, methods
Imports: startupmsg, sfsmisc, graphics, stats, grDevices
Suggests: ismev, evd,
Enhances: RobExtremes
ByteCompile: yes
License: LGPL-3
URL: http://distr.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate: 2024-01-31 17:12:45 +0100 (Mi, 31 Jan 2024) $}
LastChangedRevision: {$LastChangedRevision: 1432 $}
VCS/SVNRevision: 1429
NeedsCompilation: no
Packaged: 2024-01-31 17:33:48 UTC; ruckdesc
Author: Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], R Core Team [ctb, cph]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>
Repository: CRAN
Date/Publication: 2024-02-01 09:40:05 UTC

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Package bayesPO updated to version 0.5.0 with previous version 0.4.1 dated 2023-09-26

Title: Bayesian Inference for Presence-Only Data
Description: Presence-Only data is best modelled with a Point Process Model. The work of Moreira and Gamerman (2022) <doi:10.1214/21-AOAS1569> provides a way to use exact Bayesian inference to model this type of data, which is implemented in this package.
Author: Guido Alberti Moreira [cre, aut]
Maintainer: Guido Alberti Moreira <guidoalber@gmail.com>

Diff between bayesPO versions 0.4.1 dated 2023-09-26 and 0.5.0 dated 2024-02-01

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Package tbma (with last version 0.1.0) was removed from CRAN

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

2020-04-06 0.1.0

Permanent link
Package growthcleanr (with last version 2.1.1) was removed from CRAN

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

2023-03-03 2.1.1
2023-02-16 2.1.0
2022-11-03 2.0.3
2022-09-13 2.0.2
2022-09-01 2.0.1

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Package RDS updated to version 0.9-9 with previous version 0.9-7 dated 2023-08-20

Title: Respondent-Driven Sampling
Description: Provides functionality for carrying out estimation with data collected using Respondent-Driven Sampling. This includes Heckathorn's RDS-I and RDS-II estimators as well as Gile's Sequential Sampling estimator. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Gile and Handcock (2010) <doi:10.1111/j.1467-9531.2010.01223.x>, Gile and Handcock (2015) <doi:10.1111/rssa.12091> and Gile and Beaudry and Handcock and Ott (2018) <doi:10.1146/annurev-statistics-031017-100704>.
Author: Mark S. Handcock [aut, cre] , Krista J. Gile [aut], Ian E. Fellows [aut], W. Whipple Neely [ctb]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

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Package MiMIR updated to version 1.5 with previous version 1.4 dated 2022-05-23

Title: Metabolomics-Based Models for Imputing Risk
Description: Provides an intuitive framework for ad-hoc statistical analysis of 1H-NMR metabolomics by Nightingale Health. It allows to easily explore new metabolomics measurements assayed by Nightingale Health, comparing the distributions with a large Consortium (BBMRI-nl); project previously published metabolic scores [<doi:10.1016/j.ebiom.2021.103764>, <doi:10.1161/CIRCGEN.119.002610>, <doi:10.1038/s41467-019-11311-9>, <doi:10.7554/eLife.63033>, <doi:10.1161/CIRCULATIONAHA.114.013116>, <doi:10.1007/s00125-019-05001-w>]; and calibrate the metabolic surrogate values to a desired dataset.
Author: Daniele Bizzarri [aut, cre] , Marcel Reinders [aut, ths] , Marian Beekman [aut] , Pieternella Eline Slagboom [aut, ths] , Erik van den Akker [aut, ths]
Maintainer: Daniele Bizzarri <d.bizzarri@lumc.nl>

Diff between MiMIR versions 1.4 dated 2022-05-23 and 1.5 dated 2024-02-01

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Package tinytable updated to version 0.0.3 with previous version 0.0.2 dated 2024-01-26

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

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Package springer updated to version 0.1.9 with previous version 0.1.8 dated 2023-09-04

Title: Sparse Group Variable Selection for Gene-Environment Interactions in the Longitudinal Study
Description: Recently, regularized variable selection has emerged as a powerful tool to identify and dissect gene-environment interactions. Nevertheless, in longitudinal studies with high dimensional genetic factors, regularization methods for G×E interactions have not been systematically developed. In this package, we provide the implementation of sparse group variable selection, based on both the quadratic inference function (QIF) and generalized estimating equation (GEE), to accommodate the bi-level selection for longitudinal G×E studies with high dimensional genomic features. Alternative methods conducting only the group or individual level selection have also been included. The core modules of the package have been developed in C++.
Author: Fei Zhou, Yuwen Liu, Xi Lu, Jie Ren, Cen Wu
Maintainer: Fei Zhou <fei.zhou@outlook.com>

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Package spatstat.explore updated to version 3.2-6 with previous version 3.2-5 dated 2023-10-22

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb, cph], Julian Gi [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package ottr updated to version 1.5.0 with previous version 1.4.0 dated 2023-07-19

Title: An R Autograding Extension for Otter-Grader
Description: An R autograding extension for Otter-Grader (<https://otter-grader.readthedocs.io>). It supports grading R scripts, R Markdown documents, and R Jupyter Notebooks.
Author: Christopher Pyles [aut, cre] , UC Berkeley Data Science Education Program [cph]
Maintainer: Christopher Pyles <cpyles@berkeley.edu>

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Package mlVAR updated to version 0.5.2 with previous version 0.5.1 dated 2023-05-16

Title: Multi-Level Vector Autoregression
Description: Estimates the multi-level vector autoregression model on time-series data. Three network structures are obtained: temporal networks, contemporaneous networks and between-subjects networks.
Author: Sacha Epskamp [aut, cre], Marie K. Deserno [aut], Laura F. Bringmann [aut], Myrthe Veenman [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package degreenet updated to version 1.3-5 with previous version 1.3-3 dated 2018-03-26

Title: Models for Skewed Count Distributions Relevant to Networks
Description: Likelihood-based inference for skewed count distributions, typically of degrees used in network modeling. "degreenet" is a part of the "statnet" suite of packages for network analysis. See Jones and Handcock <doi:10.1098/rspb.2003.2369>.
Author: Mark S. Handcock [aut, cre, cph]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

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Package subtee (with last version 1.0.1) was removed from CRAN

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

2022-03-22 1.0.1

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Package support.BWS3 updated to version 0.2-1 with previous version 0.2-0 dated 2019-12-02

Title: Tools for Case 3 Best-Worst Scaling
Description: Provides basic functions that support an implementation of multi-profile case (Case 3) best-worst scaling (BWS). Case 3 BWS is a question-based survey method to elicit people's preferences for attribute levels. Case 3 BWS constructs various combinations of attribute levels (profiles) and then asks respondents to select the best and worst profiles in each choice set. A main function creates a dataset for the analysis from the choice sets and the responses to the questions. For details on Case 3 BWS, refer to Louviere et al. (2015) <doi:10.1017/CBO9781107337855>.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

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Package GrFA updated to version 0.1.1 with previous version 0.1.0 dated 2023-11-22

Title: Group Factor Analysis
Description: Several group factor analysis algorithms are implemented, including Canonical Correlation-based Estimation by Choi et al. (2021) <doi:10.1016/j.jeconom.2021.09.008> , Generalised Canonical Correlation Estimation by Lin and Shin (2022) <doi:10.2139/ssrn.4295429>, Circularly Projected Estimation by Chen (2022) <doi:10.1080/07350015.2022.2051520>, and the approach we recently proposed, named Aggregated Projection Method.
Author: Jiaqi Hu [cre, aut], Xueqin Wang [aut]
Maintainer: Jiaqi Hu <hujiaqi@mail.ustc.edu.cn>

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Package mlr3resampling updated to version 2024.1.23 with previous version 2024.1.8 dated 2024-01-08

Title: Resampling Algorithms for 'mlr3' Framework
Description: A supervised learning algorithm inputs a train set, and outputs a prediction function, which can be used on a test set. If each data point belongs to a group (such as geographic region, year, etc), then how do we know if it is possible to train on one group, and predict accurately on another group? Cross-validation can be used to determine the extent to which this is possible, by first assigning fold IDs from 1 to K to all data (possibly using stratification, usually by group and label). Then we loop over test sets (group/fold combinations), train sets (same group, other groups, all groups), and compute test/prediction accuracy for each combination. Comparing test/prediction accuracy between same and other, we can determine the extent to which it is possible (perfect if same/other have similar test accuracy for each group; other is usually somewhat less accurate than same; other can be just as bad as featureless baseline when the groups have different patterns). For more information, [...truncated...]
Author: Toby Hocking [aut, cre] , Michel Lang [ctb] , Bernd Bischl [ctb] , Jakob Richter [ctb] , Patrick Schratz [ctb] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [ctb], Florian Pfisterer [ctb] , Raphael Sonabend [ctb] , [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package matsindf updated to version 0.4.8 with previous version 0.4.7 dated 2023-12-21

Title: Matrices in Data Frames
Description: Provides functions to collapse a tidy data frame into matrices in a data frame and expand a data frame of matrices into a tidy data frame.
Author: Matthew Heun [aut, cre]
Maintainer: Matthew Heun <matthew.heun@me.com>

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