Tue, 07 Oct 2025

Package tikatuwq updated to version 0.6.2 with previous version 0.5.1 dated 2025-10-01

Title: Water Quality Analysis Tools for the Brazilian Context
Description: Tools to import, clean, validate, and analyze freshwater quality data in Brazil. Implements water quality indices including the Water Quality Index (WQI/IQA), the Trophic State Index (TSI/IET) after Carlson (1977) <doi:10.4319/lo.1977.22.2.0361> and Lamparelli (2004) <https://www.teses.usp.br/teses/disponiveis/41/41134/tde-20032006-075813/publico/TeseLamparelli2004.pdf>, and the National Sanitation Foundation Water Quality Index (NSF WQI) <doi:10.1007/s11157-023-09650-7>. The package also checks compliance with Brazilian standard CONAMA Resolution 357/2005 <https://conama.mma.gov.br/?id=450&option=com_sisconama&task=arquivo.download> and generates reproducible reports for routine monitoring workflows.
Author: Vinicius Saraiva Santos [aut, cre]
Maintainer: Vinicius Saraiva Santos <vinisaraiva@gmail.com>

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Package sits updated to version 1.5.3-2 with previous version 1.5.3-1 dated 2025-09-03

Title: Satellite Image Time Series Analysis for Earth Observation Data Cubes
Description: An end-to-end toolkit for land use and land cover classification using big Earth observation data. Builds satellite image data cubes from cloud collections. Supports visualization methods for images and time series and smoothing filters for dealing with noisy time series. Enables merging of multi-source imagery (SAR, optical, DEM). Includes functions for quality assessment of training samples using self-organized maps and to reduce training samples imbalance. Provides machine learning algorithms including support vector machines, random forests, extreme gradient boosting, multi-layer perceptrons, temporal convolution neural networks, and temporal attention encoders. Performs efficient classification of big Earth observation data cubes and includes functions for post-classification smoothing based on Bayesian inference. Enables best practices for estimating area and assessing accuracy of land change. Includes object-based spatio-temporal segmentation for space-time OBIA. Minimum recomme [...truncated...]
Author: Rolf Simoes [aut], Gilberto Camara [aut, cre, ths], Felipe Souza [aut], Felipe Carlos [aut], Lorena Santos [ctb], Charlotte Pelletier [ctb], Estefania Pizarro [ctb], Karine Ferreira [ctb, ths], Alber Sanchez [ctb], Alexandre Assuncao [ctb], Daniel Fa [...truncated...]
Maintainer: Gilberto Camara <gilberto.camara.inpe@gmail.com>

Diff between sits versions 1.5.3-1 dated 2025-09-03 and 1.5.3-2 dated 2025-10-07

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Package IncDTW updated to version 1.1.4.5 with previous version 1.1.4.4 dated 2022-03-16

Title: Incremental Calculation of Dynamic Time Warping
Description: The Dynamic Time Warping (DTW) distance measure for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. IncDTW is characterized by (1) the incremental calculation of DTW (reduces runtime complexity to a linear level for updating the DTW distance) - especially for life data streams or subsequence matching, (2) the vector based implementation of DTW which is faster because no matrices are allocated (reduces the space complexity from a quadratic to a linear level in the number of observations) - for all runtime intensive DTW computations, (3) the subsequence matching algorithm runDTW, that efficiently finds the k-NN to a query pattern in a long time series, and (4) C++ in the heart. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>. For details about this package, Dyn [...truncated...]
Author: Maximilian Leodolter [aut, cre]
Maintainer: Maximilian Leodolter <maximilian.leodolter@gmail.com>

Diff between IncDTW versions 1.1.4.4 dated 2022-03-16 and 1.1.4.5 dated 2025-10-07

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New package RTMBdist with initial version 0.1.0
Package: RTMBdist
Title: Distributions Compatible with Automatic Differentiation by 'RTMB'
Version: 0.1.0
Description: Extends the functionality of the 'RTMB' <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While 'RTMB' enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using 'RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, gamlss.dist, circular, sn, statmod, movMF
Depends: R (>= 3.5.0), RTMB (>= 1.7.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), LaMa (>= 2.0.6), Matrix, TMB, gamlss.data, mvtnorm
URL: https://janoleko.github.io/RTMBdist/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-01 08:06:59 UTC; jan-ole
Author: Jan-Ole Koslik [aut, cre]
Maintainer: Jan-Ole Koslik <jan-ole.koslik@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:15 UTC

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New package rixpress with initial version 0.10.0
Package: rixpress
Title: Build Reproducible Analytical Pipelines with 'Nix'
Version: 0.10.0
Description: Streamlines the creation of reproducible analytical pipelines using 'default.nix' expressions generated via the 'rix' package for reproducibility. Define derivations in 'R', 'Python' or 'Julia', chain them into a composition of pure functions and build the resulting pipeline using 'Nix' as the underlying end-to-end build tool. Functions to plot the pipeline as a directed acyclic graph are included, as well as functions to load and inspect intermediary results for interactive analysis. User experience heavily inspired by the 'targets' package.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ropensci/rixpress/, https://docs.ropensci.org/rixpress/
BugReports: https://github.com/ropensci/rixpress/issues/
Depends: R (>= 4.1.0)
Imports: igraph, jsonlite, processx
SystemRequirements: Nix
Language: en-GB
Suggests: dplyr, ggdag, ggplot2, knitr, mockery, reticulate, rix, rmarkdown, testthat (>= 3.0.0), usethis, visNetwork
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-01 08:48:42 UTC; brodrigues
Author: Bruno Rodrigues [aut, cre] , William Michael Landau [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/706>), Anthony Martinez [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>)
Maintainer: Bruno Rodrigues <bruno@brodrigues.co>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:02 UTC

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New package pwranova with initial version 1.0.2
Package: pwranova
Title: Power Analysis of Flexible ANOVA Designs and Related Tests
Version: 1.0.2
Description: Provides functions for conducting power analysis in ANOVA designs, including between-, within-, and mixed-factor designs, with full support for both main effects and interactions. The package allows calculation of statistical power, required total sample size, significance level, and minimal detectable effect sizes expressed as partial eta squared or Cohen's f for ANOVA terms and planned contrasts. In addition, complementary functions are included for common related tests such as t-tests and correlation tests, making the package a convenient toolkit for power analysis in experimental psychology and related fields.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/mutopsy/pwranova, https://mutopsy.github.io/pwranova/
BugReports: https://github.com/mutopsy/pwranova/issues
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-10-01 04:59:07 UTC; owner
Author: Hiroyuki Muto [aut, cre]
Maintainer: Hiroyuki Muto <mutopsy@omu.ac.jp>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:09 UTC

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New package Latamverse with initial version 0.1.0
Package: Latamverse
Title: Latin American Data via 'RESTful' APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Brings together a comprehensive collection of R packages providing access to API functions and curated datasets from Argentina, Brazil, Chile, Colombia, and Peru. Includes real-time and historical data through public 'RESTful' APIs ('Nager.Date', World Bank API, REST Countries API, and country-specific APIs) and extensive curated collections of open datasets covering economics, demographics, public health, environmental data, political indicators, social metrics, and cultural information. Designed to provide researchers, analysts, educators, and data scientists with centralized access to Latin American data sources, facilitating reproducible research, comparative analysis, and teaching applications focused on these five major Latin American countries. Included packages: - 'ArgentinAPI': API functions and curated datasets for Argentina covering exchange rates, inflation, political figures, national holidays and more. - 'BrazilDataAPI': API functions and curated datasets for Brazil cover [...truncated...]
License: GPL-3
URL: https://github.com/lightbluetitan/latamverse, https://lightbluetitan.github.io/latamverse/
BugReports: https://github.com/lightbluetitan/latamverse/issues
Encoding: UTF-8
Language: en
Depends: R (>= 4.1.0), ArgentinAPI, BrazilDataAPI, ChileDataAPI, ColombiAPI, PeruAPIs
Imports: cli, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-10-01 14:39:12 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-10-07 18:40:02 UTC

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New package ActiveLearning4SPM with initial version 0.1.0
Package: ActiveLearning4SPM
Title: Active Learning for Process Monitoring
Version: 0.1.0
Description: Implements the methodology introduced in Capezza, Lepore, and Paynabar (2025) <doi:10.1080/00401706.2025.2561744> for process monitoring with limited labeling resources. The package provides functions to (i) simulate data streams with true latent states and multivariate Gaussian observations as done in the paper, (ii) fit partially hidden Markov models (pHMMs) using a constrained Baum-Welch algorithm with partial labels, and (iii) perform stream-based active learning that balances exploration and exploitation to decide whether to request labels in real time. The methodology is particularly suited for statistical process monitoring in industrial applications where labeling is costly.
Depends: R (>= 4.2)
Imports: Rcpp, Rfast, mvnfast, rrcov, caTools, abind, pROC, stats
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
Encoding: UTF-8
Suggests: covr, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-09-30 12:31:47 UTC; christian.capezza
Author: Christian Capezza [aut, cre], Antonio Lepore [aut], Kamran Paynabar [aut]
Maintainer: Christian Capezza <christian.capezza@unina.it>
Repository: CRAN
Date/Publication: 2025-10-07 18:30:21 UTC

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Package sassy updated to version 1.2.9 with previous version 1.2.8 dated 2025-09-10

Title: Makes 'R' Easier for Everyone
Description: A meta-package that aims to make 'R' easier for everyone, especially programmers who have a background in 'SAS®' software. This set of packages brings many useful concepts to 'R', including data libraries, data dictionaries, formats and format catalogs, a data step, and a traceable log. The system also includes a package that replicates several commonly-used 'SAS®' procedures, like 'PROC FREQ', 'PROC MEANS', and 'PROC REG'.
Author: David Bosak [aut, cre]
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between sassy versions 1.2.8 dated 2025-09-10 and 1.2.9 dated 2025-10-07

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New package mda.biber with initial version 1.0.1
Package: mda.biber
Title: Functions for Multi-Dimensional Analysis
Version: 1.0.1
Date: 2025-09-22
Description: Multi-Dimensional Analysis (MDA) is an adaptation of factor analysis developed by Douglas Biber (1992) <doi:10.1007/BF00136979>. Its most common use is to describe language as it varies by genre, register, and use. This package contains functions for carrying out the calculations needed to describe and plot MDA results: dimension scores, dimension means, and factor loadings.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, ggpubr, ggrepel, nFactors, stats, tidyr, viridis
Depends: R (>= 2.10)
Suggests: rmarkdown, knitr, corrplot, kableExtra, tidyverse, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-30 19:51:17 UTC; runner
Author: David Brown [aut, cre] , Alex Reinhart [aut]
Maintainer: David Brown <dwb2@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:02 UTC

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Package linkeR updated to version 0.1.3 with previous version 0.1.2 dated 2025-09-21

Title: Link Interactive Plots and Tables in 'shiny' Applications
Description: Build powerful, linked-view dashboards in 'shiny' applications. With a declarative, one-line setup, you can create bidirectional links between interactive components. When a user interacts with one element (e.g., clicking a map marker), all linked components (such as 'DT' tables or other charts) instantly update. Supports 'leaflet' maps, 'DT' tables, 'plotly' charts, and spatial data via 'sf' objects out-of-the-box, with an extensible API for custom components.
Author: Jake Wagoner [aut, cre] , Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd]
Maintainer: Jake Wagoner <jakew@sci.utah.edu>

Diff between linkeR versions 0.1.2 dated 2025-09-21 and 0.1.3 dated 2025-10-07

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New package GPpenalty with initial version 0.1.0
Package: GPpenalty
Title: Penalized Likelihood in Gaussian Processes
Version: 0.1.0
Description: Implements maximum likelihood estimation for Gaussian processes, supporting both isotropic and separable models with predictive capabilities. Includes penalized likelihood estimation following Li and Sudjianto (2005, <doi:10.1198/004017004000000671>), using score-based metrics that account for uncertainty (See Gneiting and Raftery 2007, <doi:10.1198/016214506000001437>). Includes cross validation techniques for tuning parameter selection. Designed specifically for small datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: Rcpp, doParallel, foreach
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-09-30 21:26:31 UTC; ayumi
Author: Ayumi Mutoh [aut, cre]
Maintainer: Ayumi Mutoh <amutoh@ncsu.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:07 UTC

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New package BTIME with initial version 1.0.0
Package: BTIME
Title: Bayesian Hierarchical Models for Single-Cell Protein Data
Version: 1.0.0
Description: Bayesian Hierarchical beta-binomial models for modeling cell population to predictors/exposures. This package utilizes 'runjags' to run Gibbs sampling with parallel chains. Options for different covariances/relationship structures between parameters of interest.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: coda, runjags, VGAM, matlib
Depends: R (>= 3.5), rjags
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-30 21:02:27 UTC; cjsakitis
Author: Chase Sakitis [aut, cre], Brooke Fridley [aut]
Maintainer: Chase Sakitis <cjsakitis@cmh.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:12 UTC

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Package Analitica updated to version 2.1.2 with previous version 2.0.0 dated 2025-09-26

Title: Exploratory Data Analysis, Group Comparison Tools, and Other Procedures
Description: Provides a comprehensive set of tools for descriptive statistics, graphical data exploration, outlier detection, homoscedasticity testing, and multiple comparison procedures. Includes manual implementations of Levene's test, Bartlett's test, and the Fligner-Killeen test, as well as post hoc comparison methods such as Tukey, Scheffé, Games-Howell, Brunner-Munzel, and others. This version introduces two new procedures: the Jonckheere-Terpstra trend test and the Jarque-Bera test with Glinskiy's (2024) correction. Designed for use in teaching, applied statistical analysis, and reproducible research. Additionally you can find a post hoc Test Planner, which helps you to make a decision on which procedure is most suitable.
Author: Carlos Jimenez-Gallardo [aut, cre]
Maintainer: Carlos Jimenez-Gallardo <carlos.jimenez@ufrontera.cl>

Diff between Analitica versions 2.0.0 dated 2025-09-26 and 2.1.2 dated 2025-10-07

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Package pysparklyr updated to version 0.1.9 with previous version 0.1.8 dated 2025-05-19

Title: Provides a 'PySpark' Back-End for the 'sparklyr' Package
Description: It enables 'sparklyr' to integrate with 'Spark Connect', and 'Databricks Connect' by providing a wrapper over the 'PySpark' 'python' library.
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>

Diff between pysparklyr versions 0.1.8 dated 2025-05-19 and 0.1.9 dated 2025-10-07

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Package Statamarkdown updated to version 0.9.6 with previous version 0.9.4 dated 2025-08-23

Title: 'Stata' Markdown
Description: Settings and functions to extend the 'knitr' 'Stata' engine.
Author: Doug Hemken [aut, cre] ), Tom Palmer [ctb] , Philipp Lepert [ctb]
Maintainer: Doug Hemken <d_hemken@yahoo.com>

Diff between Statamarkdown versions 0.9.4 dated 2025-08-23 and 0.9.6 dated 2025-10-07

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Package FARS updated to version 0.6.0 with previous version 0.5.0 dated 2025-07-16

Title: Factor-Augmented Regression Scenarios
Description: Provides a comprehensive framework in R for modeling and forecasting economic scenarios based on multi-level dynamic factor model. The package enables users to: (i) extract global and group-specific factors using a flexible multi-level factor structure; (ii) compute asymptotically valid confidence regions for the estimated factors, accounting for uncertainty in the factor loadings; (iii) obtain estimates of the parameters of the factor-augmented quantile regressions together with their standard deviations; (iv) recover full predictive conditional densities from estimated quantiles; (v) obtain risk measures based on extreme quantiles of the conditional densities; (vi) estimate the conditional density and the corresponding extreme quantiles when the factors are stressed.
Author: Gian Pietro Bellocca [aut, cre], Ignacio Garron [aut], Vladimir Rodriguez-Caballero [aut], Esther Ruiz [aut]
Maintainer: Gian Pietro Bellocca <gbellocc@est-econ.uc3m.es>

Diff between FARS versions 0.5.0 dated 2025-07-16 and 0.6.0 dated 2025-10-07

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Package anipaths updated to version 0.10.6 with previous version 0.10.5 dated 2025-03-01

Title: Animation of Multiple Trajectories with Uncertainty
Description: Animation of observed trajectories using spline-based interpolation (see for example, Buderman, F. E., Hooten, M. B., Ivan, J. S. and Shenk, T. M. (2016), <doi:10.1111/2041-210X.12465> "A functional model for characterizing long-distance movement behaviour". Methods Ecol Evol). Intended to be used exploratory data analysis, and perhaps for preparation of presentations.
Author: Henry Scharf [aut, cre], Kristine Dinh [aut], Rosales Hugo [aut], Rivera Angelica [aut]
Maintainer: Henry Scharf <hscharf@arizona.edu>

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Package ggiraph updated to version 0.9.2 with previous version 0.9.1 dated 2025-09-16

Title: Make 'ggplot2' Graphics Interactive
Description: Create interactive 'ggplot2' graphics using 'htmlwidgets'.
Author: David Gohel [aut, cre], Panagiotis Skintzos [aut], Mike Bostock [cph] , Speros Kokenes [cph] , Eric Shull [cph] , Lee Thomason [cph] , Vladimir Agafonkin [cph] , Eric Book [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package tmvtnsim updated to version 0.1.4 with previous version 0.1.3 dated 2022-10-09

Title: Truncated Multivariate Normal and t Distribution Simulation
Description: Simulation of random vectors from truncated multivariate normal and t distributions based on the algorithms proposed by Yifang Li and Sujit K. Ghosh (2015) <doi:10.1080/15598608.2014.996690>.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package RLescalation updated to version 1.0.3 with previous version 1.0.2 dated 2025-02-07

Title: Optimal Dose Escalation Using Deep Reinforcement Learning
Description: An implementation to compute an optimal dose escalation rule using deep reinforcement learning in phase I oncology trials (Matsuura et al. (2023) <doi:10.1080/10543406.2023.2170402>). The dose escalation rule can directly optimize the percentages of correct selection (PCS) of the maximum tolerated dose (MTD).
Author: Kentaro Matsuura [aut, cre, cph]
Maintainer: Kentaro Matsuura <matsuurakentaro55@gmail.com>

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Package runonce updated to version 0.3.3 with previous version 0.3.2 dated 2025-07-30

Title: Run Once and Save Result
Description: Package 'runonce' helps automating the saving of long-running code to help running the same code multiple times. If you run some long-running code once, it saves the result in a file on disk. Then, if the result already exists, i.e. if the code has already been run and its output has already been saved, it just reads the result from the stored file instead of running the code again.
Author: Florian Prive [aut, cre]
Maintainer: Florian Prive <florian.prive.21@gmail.com>

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Package ipeaplot updated to version 0.5.0 with previous version 0.4.1 dated 2025-02-26

Title: Add Ipea Editorial Standards to 'ggplot2' Graphics
Description: Convenient functions to create 'ggplot2' graphics following the editorial guidelines of the Institute for Applied Economic Research (Ipea).
Author: Pedro Ferreira [aut, cre], Pedro Jorge [aut], Daniel Lima [aut], Gustavo Coelho [aut], Rafael H. M. Pereira [aut], Lucas Mation [aut], Fabio Vaz [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Pedro Ferreira <pedro.ferreira2@ipea.gov.br>

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Package bipartite updated to version 2.23 with previous version 2.22 dated 2025-09-08

Title: Visualising Bipartite Networks and Calculating Some (Ecological) Indices
Description: Functions to visualise webs and calculate a series of indices commonly used to describe pattern in (ecological) webs. It focuses on webs consisting of only two levels (bipartite), e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the web's topology.
Author: Carsten F. Dormann [aut, cre] , Jochen Fruend [aut] , Bernd Gruber [aut] , Tobias Bauer [ctb] , Stephen Beckett [ctb] , Mariano Devoto [ctb] , Gabriel M.F. Felix [ctb] , Jose M. Iriondo [ctb] , Tore Opsahl [ctb] , Rafael B.P. Pinheiro [ctb] , Rouven [...truncated...]
Maintainer: Carsten F. Dormann <carsten.dormann@biom.uni-freiburg.de>

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Package modsem updated to version 1.0.13 with previous version 1.0.12 dated 2025-08-27

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosb [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

Diff between modsem versions 1.0.12 dated 2025-08-27 and 1.0.13 dated 2025-10-07

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Package gam.hp updated to version 0.0-4 with previous version 0.0-3 dated 2024-12-15

Title: Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models
Description: Conducts hierarchical partitioning to calculate individual contributions of each predictor towards adjusted R2 and explained deviance for generalized additive models based on output of 'gam()' and 'bam()' in 'mgcv' package, applying the algorithm in this paper: Lai(2024) <doi:10.1016/j.pld.2024.06.002>.
Author: Jiangshan Lai [aut, cre] , Jing Tang [aut]
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>

Diff between gam.hp versions 0.0-3 dated 2024-12-15 and 0.0-4 dated 2025-10-07

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Package deaR updated to version 1.5.1 with previous version 1.5 dated 2025-06-13

Title: Conventional and Fuzzy Data Envelopment Analysis
Description: Set of functions for Data Envelopment Analysis. It runs both classic and fuzzy DEA models. See: Banker, R.; Charnes, A.; Cooper, W.W. (1984). <doi:10.1287/mnsc.30.9.1078>, Charnes, A.; Cooper, W.W.; Rhodes, E. (1978). <doi:10.1016/0377-2217(78)90138-8> and Charnes, A.; Cooper, W.W.; Rhodes, E. (1981). <doi:10.1287/mnsc.27.6.668>.
Author: Vicente Bolos [aut, cre], Vicente Coll-Serrano [aut], Rafael Benitez Suarez [aut]
Maintainer: Vicente Bolos <vicente.bolos@uv.es>

Diff between deaR versions 1.5 dated 2025-06-13 and 1.5.1 dated 2025-10-07

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More information about deaR at CRAN
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Package timeplyr updated to version 1.1.1 with previous version 1.1.0 dated 2025-03-17

Title: Fast Tidy Tools for Date and Date-Time Manipulation
Description: A set of fast tidy functions for wrangling, completing and summarising date and date-time data. It combines 'tidyverse' syntax with the efficiency of 'data.table' and speed of 'collapse'.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

Diff between timeplyr versions 1.1.0 dated 2025-03-17 and 1.1.1 dated 2025-10-07

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More information about timeplyr at CRAN
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Package otelsdk updated to version 0.2.2 with previous version 0.2.1 dated 2025-09-23

Title: 'R' 'SDK' and Exporters for 'OpenTelemetry'
Description: 'OpenTelemetry' is a collection of tools, 'APIs', and 'SDKs' used to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) for analysis in order to understand your software's performance and behavior. This package contains the 'OpenTelemetry' 'SDK', and exporters. Use this package to export traces, metrics, logs from instrumented 'R' code. Use the 'otel' package to instrument your 'R' code for 'OpenTelemetry'.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , opentelemetry-cpp authors [ctb]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between otelsdk versions 0.2.1 dated 2025-09-23 and 0.2.2 dated 2025-10-07

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More information about otelsdk at CRAN
Permanent link

Package eyeris updated to version 3.0.1 with previous version 3.0.0 dated 2025-09-17

Title: Flexible, Extensible, & Reproducible Pupillometry Preprocessing
Description: Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states [Clewett et al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018) <doi:10.3758/s13428-018-1075-y>; Strauch (2024) <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry research, many established packages and workflows to date lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris' provides a modular, performant, and extensible preprocessing framework for pupillometry data with BIDS-like organization and interactive output reports [Esteban et al. (2019) <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44>]. Development was supported, in part, by the S [...truncated...]
Author: Shawn Schwartz [aut, cre] , Mingjian He [ctb], Haopei Yang [ctb], Alice Xue [ctb], Gustavo Santiago-Reyes [ctb]
Maintainer: Shawn Schwartz <shawn.t.schwartz@gmail.com>

Diff between eyeris versions 3.0.0 dated 2025-09-17 and 3.0.1 dated 2025-10-07

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Package bage updated to version 0.9.7 with previous version 0.9.6 dated 2025-10-01

Title: Bayesian Estimation and Forecasting of Age-Specific Rates
Description: Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on 'Template Model Builder'.
Author: John Bryant [aut, cre], Junni Zhang [aut], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

Diff between bage versions 0.9.6 dated 2025-10-01 and 0.9.7 dated 2025-10-07

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Package jpinfect updated to version 0.1.4 with previous version 0.1.3 dated 2025-09-11

Title: Acquiring and Processing Data from Japan Institute for Health Security
Description: Download and post process the infectious disease case data from Japan Institute for Health Security. Also the package included ready-to-analyse datasets. See the data source website for further details <https://id-info.jihs.go.jp/>.
Author: Tomonori Hoshi [aut, cre], Erina Ishigaki [aut], Satoshi Kaneko [aut]
Maintainer: Tomonori Hoshi <tomonori.hoshi.japan@gmail.com>

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Package Epi updated to version 2.61 with previous version 2.60 dated 2025-07-08

Title: Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data. In particular representation, manipulation, rate estimation and simulation for multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data. Has functions for extracting and manipulating parameter estimates and predicted values (ci.lin and its cousins), as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

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Package arcgisgeocode updated to version 0.4.0 with previous version 0.3.0 dated 2025-07-28

Title: A Robust Interface to ArcGIS 'Geocoding Services'
Description: A very fast and robust interface to ArcGIS 'Geocoding Services'. Provides capabilities for reverse geocoding, finding address candidates, character-by-character search autosuggestion, and batch geocoding. The public 'ArcGIS World Geocoder' is accessible for free use via 'arcgisgeocode' for all services except batch geocoding. 'arcgisgeocode' also integrates with 'arcgisutils' to provide access to custom locators or private 'ArcGIS World Geocoder' hosted on 'ArcGIS Enterprise'. Learn more in the 'Geocode service' API reference <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Package commecometrics updated to version 1.0.1 with previous version 1.0.0 dated 2025-07-22

Title: Ecometric Models of Trait–Environment Relationships at the Community Level
Description: Provides a framework for modeling relationships between functional traits and both quantitative and qualitative environmental variables at the community level. It includes tools for trait binning, likelihood-based environmental estimation, model evaluation, fossil projection into modern ecometric space, and result visualization. For more details see Vermillion et al. (2018) <doi:10.1007/978-3-319-94265-0_17>, Polly et al. (2011) <doi:10.1098/rspb.2010.2233> and Polly and Head (2015) <doi:10.1017/S1089332600002953>.
Author: Maria A. Hurtado-Materon [cre, aut], Leila Siciliano-Martina [aut], A. Michelle Lawing [cph, aut]
Maintainer: Maria A. Hurtado-Materon <maria.h.m_1995@tamu.edu>

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