Fri, 24 Jan 2025

Package cfda updated to version 0.12.1 with previous version 0.12.0 dated 2024-11-20

Title: Categorical Functional Data Analysis
Description: Package for the analysis of categorical functional data. The main purpose is to compute an encoding (real functional variable) for each state <doi:10.3390/math9233074>. It also provides functions to perform basic statistical analysis on categorical functional data.
Author: Cristian Preda [aut], Quentin Grimonprez [aut, cre], Vincent Vandewalle [ctb]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

Diff between cfda versions 0.12.0 dated 2024-11-20 and 0.12.1 dated 2025-01-24

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Package git2rdata updated to version 0.5.0 with previous version 0.4.1 dated 2024-09-06

Title: Store and Retrieve Data.frames in a Git Repository
Description: The git2rdata package is an R package for writing and reading dataframes as plain text files. A metadata file stores important information. 1) Storing metadata allows to maintain the classes of variables. By default, git2rdata optimizes the data for file storage. The optimization is most effective on data containing factors. The optimization makes the data less human readable. The user can turn this off when they prefer a human readable format over smaller files. Details on the implementation are available in vignette("plain_text", package = "git2rdata"). 2) Storing metadata also allows smaller row based diffs between two consecutive commits. This is a useful feature when storing data as plain text files under version control. Details on this part of the implementation are available in vignette("version_control", package = "git2rdata"). Although we envisioned git2rdata with a git workflow in mind, you can use it in combination with other version control systems like subversion [...truncated...]
Author: Thierry Onkelinx [aut, cre] ), Floris Vanderhaeghe [ctb] ), Peter Desmet [ctb] ), Els Lommelen [ctb] ), Research Institute for Nature and Forest [cph, fnd]
Maintainer: Thierry Onkelinx <thierry.onkelinx@inbo.be>

Diff between git2rdata versions 0.4.1 dated 2024-09-06 and 0.5.0 dated 2025-01-24

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Package FuzzyImputationTest updated to version 0.4.0 with previous version 0.3.8 dated 2024-12-19

Title: Imputation Procedures and Quality Tests for Fuzzy Data
Description: Special procedures for the imputation of missing fuzzy numbers are still underdeveloped. The goal of the package is to provide the new d-imputation method (DIMP for short, Romaniuk, M. and Grzegorzewski, P. (2023) "Fuzzy Data Imputation with DIMP and FGAIN" RB/23/2023) and covert some classical ones applied in R packages ('missForest','miceRanger','knn') for use with fuzzy datasets. Additionally, specially tailored benchmarking tests are provided to check and compare these imputation procedures with fuzzy datasets.
Author: Maciej Romaniuk [cre, aut]
Maintainer: Maciej Romaniuk <mroman@ibspan.waw.pl>

Diff between FuzzyImputationTest versions 0.3.8 dated 2024-12-19 and 0.4.0 dated 2025-01-24

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Package dacc updated to version 0.0-6 with previous version 0.0-5 dated 2024-09-20

Title: Detection and Attribution Analysis of Climate Change
Description: Conduct detection and attribution of climate change using methods including optimal fingerprinting via generalized total least squares or estimating equation approach from Ma et al. (2023) <doi:10.1175/JCLI-D-22-0681.1>. Provide shrinkage estimators for covariance matrix from Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, and Ledoit and Wolf (2017) <doi:10.2139/ssrn.2383361>.
Author: Yan Li [aut, cre], Kun Chen [aut], Jun Yan [aut]
Maintainer: Yan Li <yan.4.li@uconn.edu>

Diff between dacc versions 0.0-5 dated 2024-09-20 and 0.0-6 dated 2025-01-24

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New package hdftsa with initial version 1.0
Package: hdftsa
Title: High-Dimensional Functional Time Series Analysis
Version: 1.0
Date: 2025-01-18
Depends: R (>= 3.5.0), ftsa
Imports: methods
LazyLoad: yes
ByteCompile: TRUE
Maintainer: Han Lin Shang <hanlin.shang@mq.edu.au>
Description: Offers methods for visualizing, modelling, and forecasting high-dimensional functional time series, also known as functional panel data. Documentation about 'hdftsa' is provided via the paper by Cristian F. Jimenez-Varon, Ying Sun and Han Lin Shang (2024, <doi:10.1080/10618600.2024.2319166>).
License: GPL-3
NeedsCompilation: no
Packaged: 2025-01-22 20:35:07 UTC; hanlinshang
Author: Han Lin Shang [aut, cre]
Repository: CRAN
Date/Publication: 2025-01-24 13:10:02 UTC

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Package botor updated to version 0.4.1 with previous version 0.4.0 dated 2023-03-12

Title: 'AWS Python SDK' ('boto3') for R
Description: Fork-safe, raw access to the 'Amazon Web Services' ('AWS') 'SDK' via the 'boto3' 'Python' module, and convenient helper functions to query the 'Simple Storage Service' ('S3') and 'Key Management Service' ('KMS'), partial support for 'IAM', the 'Systems Manager Parameter Store' and 'Secrets Manager'.
Author: Gergely Daroczi [aut, cre] , System1 [fnd]
Maintainer: Gergely Daroczi <daroczig@rapporter.net>

Diff between botor versions 0.4.0 dated 2023-03-12 and 0.4.1 dated 2025-01-24

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New package transltr with initial version 0.0.1
Package: transltr
Title: Support Many Languages in R Programs
Version: 0.0.1
Description: An object model for source text and translations. Find and extract translatable strings. Provide translations and seamlessly retrieve them at runtime.
License: MIT + file LICENSE
URL: https://github.com/jeanmathieupotvin/transltr
BugReports: https://github.com/jeanmathieupotvin/transltr/issues
Encoding: UTF-8
Language: en
Suggests: covr, devtools, lifecycle, microbenchmark, testthat (>= 3.0.0), usethis, withr
Imports: digest, R6, utils, yaml
NeedsCompilation: no
Packaged: 2025-01-22 18:20:19 UTC; jmp
Author: Jean-Mathieu Potvin [aut, cre, cph], Jerome Lavoue [ctb, fnd, rev]
Maintainer: Jean-Mathieu Potvin <jeanmathieupotvin@ununoctium.dev>
Repository: CRAN
Date/Publication: 2025-01-24 13:00:01 UTC

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New package SurrogateSeq with initial version 1.0
Package: SurrogateSeq
Title: Group Sequential Testing of a Treatment Effect Using a Surrogate Marker
Version: 1.0
Description: Provides functions to implement group sequential procedures that allow for early stopping to declare efficacy using a surrogate marker and the possibility of futility stopping. More details are available in: Parast, L. and Bartroff, J (2024) <doi:10.1093/biomtc/ujae108>. A tutorial for this package can be found at <https://laylaparast.com/home/SurrogateSeq.html>.
License: GPL
Imports: stats, MASS, ggplot2
NeedsCompilation: no
Packaged: 2025-01-22 17:23:16 UTC; parastlm
Author: Layla Parast [aut, cre], Jay Bartroff [aut]
Maintainer: Layla Parast <parast@austin.utexas.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-01-24 12:50:02 UTC

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New package oldr with initial version 0.2.3
Package: oldr
Title: An Implementation of Rapid Assessment Method for Older People
Version: 0.2.3
Description: An implementation of the Rapid Assessment Method for Older People or RAM-OP <https://www.helpage.org/resource/rapid-assessment-method-for-older-people-ramop-manual/>. It provides various functions that allow the user to design and plan the assessment and analyse the collected data. RAM-OP provides accurate and reliable estimates of the needs of older people.
License: GPL-3
Depends: R (>= 4.1.0)
Imports: bbw, car, withr, tibble, rmarkdown, cli, tinytex
Suggests: testthat (>= 3.0.0), covr, DiagrammeR, knitr, kableExtra, spelling
Encoding: UTF-8
LazyData: true
Language: en-GB
VignetteBuilder: knitr
URL: https://rapidsurveys.io/oldr/, https://github.com/rapidsurveys/oldr
BugReports: https://github.com/rapidsurveys/oldr/issues
NeedsCompilation: no
Packaged: 2025-01-22 18:58:13 UTC; ernestguevarra
Author: Mark Myatt [aut, cph] , Ernest Guevarra [aut, cre, cph] , Pascale Fritsch [aut], Katja Siling [aut], HelpAge International [cph], Elrha [fnd]
Maintainer: Ernest Guevarra <ernest@guevarra.io>
Repository: CRAN
Date/Publication: 2025-01-24 13:00:06 UTC

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Package NMdata updated to version 0.1.9 with previous version 0.1.8 dated 2024-10-31

Title: Preparation, Checking and Post-Processing Data for PK/PD Modeling
Description: Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem. Attention is paid to ensure consistency, traceability, and Nonmem compatibility of Data. Rigorously checks final Nonmem datasets. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.
Author: Philip Delff [aut, cre], Brian Reilly [ctb], Eric Anderson [ctb], Matthew Fidler [ctb]
Maintainer: Philip Delff <philip@delff.dk>

Diff between NMdata versions 0.1.8 dated 2024-10-31 and 0.1.9 dated 2025-01-24

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Package secr updated to version 5.2.0 with previous version 5.1.0 dated 2024-11-04

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] , Philipp Jund [ctb] , David Fletcher [ctb] , Yan Ru Choo [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

Diff between secr versions 5.1.0 dated 2024-11-04 and 5.2.0 dated 2025-01-24

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More information about secr at CRAN
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Package priorCON updated to version 0.1.4 with previous version 0.1.3 dated 2024-11-28

Title: Graph Community Detection Methods into Systematic Conservation Planning
Description: An innovative tool-set that incorporates graph community detection methods into systematic conservation planning. It is designed to enhance spatial prioritization by focusing on the protection of areas with high ecological connectivity. Unlike traditional approaches that prioritize individual planning units, 'priorCON' focuses on clusters of features that exhibit strong ecological linkages. The 'priorCON' package is built upon the 'prioritizr' package <doi:10.32614/CRAN.package.prioritizr>, using commercial and open-source exact algorithm solvers that ensure optimal solutions to prioritization problems.
Author: Christos Adam [aut, cre] , Aggeliki Doxa [aut] , Nikolaos Nagkoulis [aut] , Maria Papazekou [aut] , Antonios D. Mazaris [aut] , Stelios Katsanevakis [aut]
Maintainer: Christos Adam <econp266@econ.soc.uoc.gr>

Diff between priorCON versions 0.1.3 dated 2024-11-28 and 0.1.4 dated 2025-01-24

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Package DEPONS2R updated to version 1.2.6 with previous version 1.2.5 dated 2025-01-10

Title: Read, Plot and Analyse Output from the DEPONS Model
Description: Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu> (v.3.0), for manipulating input raster files, shipping routes and for analyzing sound propagated from ships.
Author: Jacob Nabe-Nielsen [aut, cre], Caitlin K. Frankish [aut], Axelle Cordier [aut], Florian G. Weller [aut]
Maintainer: Jacob Nabe-Nielsen <jnn@ecos.au.dk>

Diff between DEPONS2R versions 1.2.5 dated 2025-01-10 and 1.2.6 dated 2025-01-24

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Package sparsevb updated to version 0.1.1 with previous version 0.1.0 dated 2021-01-15

Title: Spike-and-Slab Variational Bayes for Linear and Logistic Regression
Description: Implements variational Bayesian algorithms to perform scalable variable selection for sparse, high-dimensional linear and logistic regression models. Features include a novel prioritized updating scheme, which uses a preliminary estimator of the variational means during initialization to generate an updating order prioritizing large, more relevant, coefficients. Sparsity is induced via spike-and-slab priors with either Laplace or Gaussian slabs. By default, the heavier-tailed Laplace density is used. Formal derivations of the algorithms and asymptotic consistency results may be found in Kolyan Ray and Botond Szabo (JASA 2020) and Kolyan Ray, Botond Szabo, and Gabriel Clara (NeurIPS 2020).
Author: Gabriel Clara [aut, cre], Botond Szabo [aut], Kolyan Ray [aut]
Maintainer: Gabriel Clara <gabriel.j.clara@gmail.com>

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New package phylospatial with initial version 1.0.0
Package: phylospatial
Title: Spatial Phylogenetic Analysis
Version: 1.0.0
Description: Conduct various analyses on spatial phylogenetics. Use your data on an evolutionary tree and geographic distributions of the terminal taxa to compute diversity and endemism metrics, test significance with null model randomization, analyze community turnover and biotic regionalization, and perform spatial conservation prioritizations. All functions support quantitative community data in addition to binary data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ape, sf, stats, terra, vegan
Suggests: canaper, furrr, future, testthat (>= 3.0.0), betapart, knitr, rmarkdown, tmap, magrittr
URL: https://matthewkling.github.io/phylospatial/
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-14 14:46:08 UTC; matthewkling
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>
Repository: CRAN
Date/Publication: 2025-01-24 10:40:02 UTC

More information about phylospatial at CRAN
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Package lmap updated to version 0.2.4 with previous version 0.1.3 dated 2024-12-11

Title: Logistic Mapping
Description: Set of tools for mapping of categorical response variables based on principal component analysis (pca) and multidimensional unfolding (mdu).
Author: Mark de Rooij [aut, cre, cph], Frank Busing [aut, cph], Juan Claramunt Gonzalez [aut]
Maintainer: Mark de Rooij <rooijm@fsw.leidenuniv.nl>

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More information about lmap at CRAN
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Package ipsecr updated to version 1.4.2 with previous version 1.4.1 dated 2024-01-15

Title: Spatially Explicit Capture-Recapture by Inverse Prediction
Description: Estimates the density of a spatially distributed animal population sampled with an array of passive detectors, such as traps. Models incorporating distance-dependent detection are fitted by simulation and inverse prediction as proposed by Efford (2004) <doi:10.1111/j.0030-1299.2004.13043.x>.
Author: Murray Efford [aut, cre]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

Diff between ipsecr versions 1.4.1 dated 2024-01-15 and 1.4.2 dated 2025-01-24

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Package grpnet updated to version 0.7 with previous version 0.6 dated 2024-10-11

Title: Group Elastic Net Regularized GLMs and GAMs
Description: Efficient algorithms for fitting generalized linear and additive models with group elastic net penalties as described in Helwig (2024) <doi:10.1080/10618600.2024.2362232>. Implements group LASSO, group MCP, and group SCAD with an optional group ridge penalty. Computes the regularization path for linear regression (gaussian), multivariate regression (multigaussian), logistic regression (binomial), multinomial logistic regression (multinomial), log-linear count regression (poisson and negative.binomial), and log-linear continuous regression (gamma and inverse gaussian). Supports default and formula methods for model specification, k-fold cross-validation for tuning the regularization parameters, and nonparametric regression via tensor product reproducing kernel (smoothing spline) basis function expansion.
Author: Nathaniel E. Helwig [aut, cre]
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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New package FLSSS with initial version 9.2.0
Package: FLSSS
Title: Mining Rigs for Problems in the Subset Sum Family
Version: 9.2.0
Description: Specialized solvers for combinatorial optimization problems in the Subset Sum family. The solvers differ from the mainstream in the options of (i) restricting subset size, (ii) bounding subset elements, (iii) mining real-value multisets with predefined subset sum errors, (iv) finding one or more subsets in limited time. A novel algorithm for mining the one-dimensional Subset Sum induced algorithms for the multi-Subset Sum and the multidimensional Subset Sum. The multi-threaded framework for the latter offers exact algorithms to the multidimensional Knapsack and the Generalized Assignment problems. Historical updates include (a) renewed implementation of the multi-Subset Sum, multidimensional Knapsack and Generalized Assignment solvers; (b) availability of bounding solution space in the multidimensional Subset Sum; (c) fundamental data structure and architectural changes for enhanced cache locality and better chance of SIMD vectorization; (d) option of mapping floating-point instance to [...truncated...]
License: GPL-3
Encoding: UTF-8
ByteCompile: true
Imports: Rcpp (>= 0.12.13), RcppParallel
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
NeedsCompilation: yes
Repository: CRAN
Packaged: 2025-01-22 16:05:28 UTC; i56087
Author: Charlie Wusuo Liu [aut, cre]
Maintainer: Charlie Wusuo Liu <liuwusuo@gmail.com>
Date/Publication: 2025-01-24 10:20:13 UTC

More information about FLSSS at CRAN
Permanent link

Package rbiom updated to version 2.0.13 with previous version 2.0.10 dated 2025-01-19

Title: Read/Write, Analyze, and Visualize 'BIOM' Data
Description: A toolkit for working with Biological Observation Matrix ('BIOM') files. Read/write all 'BIOM' formats. Compute rarefaction, alpha diversity, and beta diversity (including 'UniFrac'). Summarize counts by taxonomic level. Subset based on metadata. Generate visualizations and statistical analyses. CPU intensive operations are coded in C for speed.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package happign updated to version 0.3.2 with previous version 0.3.1 dated 2024-09-03

Title: R Interface to 'IGN' Web Services
Description: Automatic open data acquisition from resources of IGN ('Institut National de Information Geographique et forestiere') (<https://www.ign.fr/>). Available datasets include various types of raster and vector data, such as digital elevation models, state borders, spatial databases, cadastral parcels, and more. There also access to point clouds data ('LIDAR') and specifics API (<https://apicarto.ign.fr/api/doc/>).
Author: Paul Carteron [aut, cre]
Maintainer: Paul Carteron <carteronpaul@gmail.com>

Diff between happign versions 0.3.1 dated 2024-09-03 and 0.3.2 dated 2025-01-24

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 happign-0.3.2/happign/NAMESPACE                                                                           |    3 
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Package fDMA updated to version 2.2.8 with previous version 2.2.7 dated 2023-07-16

Title: Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes
Description: Allows to estimate dynamic model averaging, dynamic model selection and median probability model. The original methods are implemented, as well as, selected further modifications of these methods. In particular the user might choose between recursive moment estimation and exponentially moving average for variance updating. Inclusion probabilities might be modified in a way using 'Google Trends'. The code is written in a way which minimises the computational burden (which is quite an obstacle for dynamic model averaging if many variables are used). For example, this package allows for parallel computations and Occam's window approach. The package is designed in a way that is hoped to be especially useful in economics and finance. Main reference: Raftery, A.E., Karny, M., Ettler, P. (2010) <doi:10.1198/TECH.2009.08104>.
Author: Krzysztof Drachal [aut, cre]
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>

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Package dynmix updated to version 2.1 with previous version 2.0 dated 2023-06-13

Title: Estimation of Dynamic Finite Mixtures
Description: Allows to perform the dynamic mixture estimation with state-space components and normal regression components, and clustering with normal mixture. Quasi-Bayesian estimation, as well as, that based on the Kerridge inaccuracy approximation are implemented. Main references: Nagy and Suzdaleva (2013) <doi:10.1016/j.apm.2013.05.038>; Nagy et al. (2011) <doi:10.1002/acs.1239>.
Author: Krzysztof Drachal [aut, cre]
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>

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Package dhis2r (with last version 0.3.0) was removed from CRAN

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

2024-11-21 0.3.0

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Package RegrCoeffsExplorer (with last version 1.1.0) was removed from CRAN

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

2024-11-14 1.1.0

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Package terra updated to version 1.8-15 with previous version 1.8-10 dated 2025-01-13

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

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Package PriceIndices updated to version 0.2.3 with previous version 0.2.2 dated 2024-10-09

Title: Calculating Bilateral and Multilateral Price Indexes
Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>, Białek (2019) <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.
Author: Jacek Bialek [aut, cre]
Maintainer: Jacek Bialek <jacek.bialek@uni.lodz.pl>

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Package tinytable updated to version 0.7.0 with previous version 0.6.1 dated 2024-11-18

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 is 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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 tinytable-0.7.0/tinytable/inst/tinytest/helpers.R                                                       |    4 
 tinytable-0.7.0/tinytable/inst/tinytest/test-format_tt.R                                                |   37 
 tinytable-0.7.0/tinytable/inst/tinytest/test-group_tt.R                                                 |    9 
 tinytable-0.7.0/tinytable/inst/tinytest/test-i_j.R                                                      |    7 
 tinytable-0.7.0/tinytable/inst/tinytest/test-latex.R                                                    |    6 
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 tinytable-0.7.0/tinytable/inst/tinytest/test-pdf.R                                                      |   10 
 tinytable-0.7.0/tinytable/inst/tinytest/test-tt.R                                                       |only
 tinytable-0.7.0/tinytable/man/format_tt.Rd                                                              |  182 +-
 tinytable-0.7.0/tinytable/man/group_tt.Rd                                                               |   17 
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 tinytable-0.7.0/tinytable/man/save_tt.Rd                                                                |  156 ++
 tinytable-0.7.0/tinytable/man/style_tt.Rd                                                               |   52 
 tinytable-0.7.0/tinytable/man/theme_tt.Rd                                                               |    9 
 tinytable-0.7.0/tinytable/man/tt.Rd                                                                     |  155 +-
 tinytable-0.7.0/tinytable/tests/tinytest.R                                                              |    4 
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More information about tinytable at CRAN
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Package Seurat updated to version 5.2.1 with previous version 5.2.0 dated 2025-01-13

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

Diff between Seurat versions 5.2.0 dated 2025-01-13 and 5.2.1 dated 2025-01-24

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Package epiparameter updated to version 0.4.1 with previous version 0.4.0 dated 2025-01-08

Title: Classes and Helper Functions for Working with Epidemiological Parameters
Description: Classes and helper functions for loading, extracting, converting, manipulating, plotting and aggregating epidemiological parameters for infectious diseases. Epidemiological parameters extracted from the literature are loaded from the 'epiparameterDB' R package.
Author: Joshua W. Lambert [aut, cre, cph] , Adam Kucharski [aut, cph] , Carmen Tamayo [aut] , Hugo Gruson [ctb, rev] , Sebastian Funk [ctb] , Pratik Gupte [rev] , James M. Azam [rev] , Chris Hartgerink [rev] , Tim Taylor [rev]
Maintainer: Joshua W. Lambert <joshua.lambert@lshtm.ac.uk>

Diff between epiparameter versions 0.4.0 dated 2025-01-08 and 0.4.1 dated 2025-01-24

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More information about epiparameter at CRAN
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