Tue, 02 Jun 2026

Package statease updated to version 1.2.0 with previous version 1.1.0 dated 2026-05-16

Title: Simplified Statistical Analysis with Plain-English Interpretation
Description: A toolkit for common statistical analyses including descriptive statistics, Student's t-tests (one-sample, independent, and paired), one-way and two-way Analysis of Variance (ANOVA), Multivariate Analysis of Variance (MANOVA), chi-square tests, correlation analysis, simple and multiple linear regression, logistic regression, and non-parametric tests (Mann-Whitney U, Wilcoxon Signed Rank, and Kruskal-Wallis). Each function automatically interprets results in plain English, reporting effect sizes, confidence intervals, and p-value interpretations. Post-hoc tests are automatically applied following significant results. A master function automatically detects the appropriate test based on the structure of the input data. Methods are based on Cohen, J. (1988) <doi:10.4324/9780203771587>, Tukey, J. W. (1949) <doi:10.2307/3001913>, and Shapiro and Wilk (1965) <doi:10.2307/2333709>.
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>

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Package SVEMnet updated to version 3.2.1 with previous version 3.2.0 dated 2026-01-23

Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression
Description: Tools for fitting self-validated ensemble models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) in small-sample design-of-experiments and related workflows, using elastic net and relaxed elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). Fractional random-weight bootstraps with anti-correlated validation copies are used to tune penalty paths by validation-weighted AIC/BIC. Supports Gaussian and binomial responses, deterministic expansion helpers for shared factor spaces, prediction with bootstrap uncertainty, and a random-search optimizer that respects mixture constraints and combines multiple responses via desirability functions. Also includes a permutation-based whole-model test for Gaussian SVEM fits (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Package code was drafted with assistance from generative AI tools.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package HZIP updated to version 0.1.2 with previous version 0.1.1 dated 2025-12-19

Title: Likelihood-Based Inference for Joint Modeling of Correlated Count and Binary Outcomes with Extra Variability and Zeros
Description: Inference approach for jointly modeling correlated count and binary outcomes. This formulation allows simultaneous modeling of zero inflation via the Bernoulli component while providing a more accurate assessment of the Hierarchical Zero-Inflated Poisson's parsimony (Lizandra C. Fabio, Jalmar M. F. Carrasco, Victor H. Lachos and Ming-Hui Chen, Likelihood-based inference for joint modeling of correlated count and binary outcomes with extra variability and zeros, 2026, under submission).
Author: Lizandra C. Fabio [aut], Jalmar M. F. Carrasco [aut, cre], Victor H. Lachos [aut], Ming-Hui Chen [aut]
Maintainer: Jalmar M. F. Carrasco <carrasco.jalmar@ufba.br>

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Package taxodist updated to version 0.5.0 with previous version 0.4.0 dated 2026-05-25

Title: Taxonomic Distance and Phylogenetic Lineage Computation
Description: Computes phylogenetic distances between any two taxa using hierarchical lineage data retrieved from The Taxonomicon <http://taxonomicon.taxonomy.nl>, a comprehensive curated classification of all life based on Systema Naturae 2000 (Brands, 1989 <http://taxonomicon.taxonomy.nl>). Given any two taxon names, retrieves their full lineages, identifies the most recent common ancestor (MRCA), and computes a dissimilarity index based on lineage depth. Outputs native dist objects, enabling direct integration with the R statistical ecosystem for hierarchical clustering, principal coordinate analysis (PCoA), and multivariate ecological analyses. Supports individual distance queries, pairwise distance matrices, clade filtering, and lineage utilities.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package essentialstools updated to version 0.1.6 with previous version 0.1.4 dated 2026-05-18

Title: Datasets and Utilities for Essentials of Statistics for the Behavioral Sciences
Description: Provides instructional datasets and simple wrapper functions for selected analyses used in 'Essentials of Statistics for the Behavioral Sciences' (Gravetter et al., 2026). The package is intended to support textbook examples by distributing data in a form that is easy for students and instructors to access within R. Current functionality includes packaged datasets and convenience wrappers for functions from 'ez', 'pwr', and 'WebPower' for analysis of variance and statistical power calculations.
Author: James Witnauer [aut, cre]
Maintainer: James Witnauer <jwitnaue@brockport.edu>

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Package epidatr updated to version 1.2.4 with previous version 1.2.2 dated 2025-11-17

Title: Client for Delphi's 'Epidata' API
Description: The Delphi 'Epidata' API provides real-time access to epidemiological surveillance data for influenza, 'COVID-19', and other diseases for the USA at various geographical resolutions, both from official government sources such as the Center for Disease Control (CDC) and Google Trends and private partners such as Facebook and Change 'Healthcare'. It is built and maintained by the Carnegie Mellon University Delphi research group. To cite this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API. <https://github.com/cmu-delphi/delphi-epidata>.
Author: Logan Brooks [aut], Dmitry Shemetov [aut], Samuel Gratzl [aut], David Weber [ctb, cre], Nat DeFries [ctb], Alex Reinhart [ctb], Daniel J. McDonald [ctb], Kean Ming Tan [ctb], Will Townes [ctb], George Haff [ctb], Kathryn Mazaitis [ctb]
Maintainer: David Weber <davidweb@andrew.cmu.edu>

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Package clinify updated to version 0.3.1 with previous version 0.3.0 dated 2025-07-07

Title: Clinical Table Styling Tools and Utilities
Description: The primary motivation of this package is to take the things that are great about the R packages 'flextable' <https://davidgohel.github.io/flextable/> and 'officer' <https://davidgohel.github.io/officer/>, take the standard and complex pieces of formatting clinical tables for regulatory use, and simplify the tedious pieces.
Author: Mike Stackhouse [aut, cre] , Ross Didenko [aut], Yevhenii Boiko [aut], Marat Zakirov [ctb], Roman Rogoza [ctb], Atorus Research, Inc. [cph], Incyte Corporation [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

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Package waves updated to version 0.2.7 with previous version 0.2.6 dated 2025-10-30

Title: Vis-NIR Spectral Analysis Wrapper
Description: Originally designed application in the context of resource-limited plant research and breeding programs, 'waves' provides an open-source solution to spectral data processing and model development by bringing useful packages together into a streamlined pipeline. This package is wrapper for functions related to the analysis of point visible and near-infrared reflectance measurements. It includes visualization, filtering, aggregation, preprocessing, cross-validation set formation, model training, and prediction functions to enable open-source association of spectral and reference data. This package is documented in a peer-reviewed manuscript in the Plant Phenome Journal <doi:10.1002/ppj2.20012>. Specialized cross-validation schemes are described in detail in Jarquín et al. (2017) <doi:10.3835/plantgenome2016.12.0130>. Example data is from Ikeogu et al. (2017) <doi:10.1371/journal.pone.0188918>.
Author: Jenna Hershberger [aut, cre] , Michael Gore [ths], NSF BREAD IOS-1543958 [fnd]
Maintainer: Jenna Hershberger <jmh579@cornell.edu>

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Package luajr updated to version 0.3.0 with previous version 0.2.2 dated 2026-02-16

Title: 'LuaJIT' Scripting
Description: An interface to 'LuaJIT' <https://luajit.org>, a just-in-time compiler for the 'Lua' scripting language <https://www.lua.org>. Allows users to run 'Lua' code from 'R'.
Author: Mike Pall [aut, cph] , Lua.org, PUC-Rio [cph] , Nicholas Davies [cre, ctb, cph] , Scott Lembcke, Howling Moon Software [ctb, cph]
Maintainer: Nicholas Davies <nicholas.davies@lshtm.ac.uk>

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Package INLAjoint updated to version 26.6.2 with previous version 25.11.10 dated 2025-11-10

Title: Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with 'INLA'
Description: Estimation of joint models for multivariate longitudinal markers (with various distributions available) and survival outcomes (possibly accounting for competing risks) with Integrated Nested Laplace Approximations (INLA). The flexible and user friendly function joint() facilitates the use of the fast and reliable inference technique implemented in the 'INLA' package for joint modeling. More details are given in the help page of the joint() function (accessible via ?joint in the R console) and the vignette associated to the joint() function (accessible via vignette("INLAjoint") in the R console).
Author: Denis Rustand [cre, aut] , Elias Teixeira Krainski [aut] , Haavard Rue [aut] , Janet van Niekerk [aut]
Maintainer: Denis Rustand <INLAjoint@gmail.com>

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Package cpfa updated to version 1.3.0 with previous version 1.2-9 dated 2026-05-07

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Classification using principal component analysis (PCA) fit to a two-way data matrix is also supported. Uses component weights from one mode of a Parafac, Parafac2, or PCA model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Allows for inclusion of additional features alongside features generated by the component model. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performanc [...truncated...]
Author: Matthew A. Asisgress [aut, cre]
Maintainer: Matthew A. Asisgress <mattgress@protonmail.ch>

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Package groupedHyperframe.random updated to version 0.3.1 with previous version 0.3.0 dated 2026-05-19

Title: Simulated Point-Pattern via Vectorized Parameterization
Description: An intuitive interface to simulate superimposed (marked) point patterns with vectorized parameterization of random point pattern and distribution of marks.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package TreeTools updated to version 2.4.0 with previous version 2.3.0 dated 2026-04-23

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013, Lemant et al. 2022) <doi:10.1016/j.mbs.2012.10.005>, <doi:10.1093/sysbio/syac027>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <https://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph] , Robert Noble [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package dbProject updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-07

Title: Database Connection Management and Utilities for 'dbverse'
Description: Provides an R6-based project container for managing 'DuckDB' connections, reconnecting lazy database tables after session restarts, and storing metadata for database-backed objects used by packages in the 'dbverse'. The package supplies S4 base classes and generics for database-backed data, helpers for validating 'DuckDB' connections and table names, utilities for creating persistent database views, and methods for writing and restoring pinned lazy tables through the 'pins' package. These tools help package authors and analysts keep database paths, cached connections, and table references synchronized across interactive sessions and project directories.
Author: Edward C. Ruiz [aut, cre] , Jiaji George Chen [aut], Ruben Dries [aut]
Maintainer: Edward C. Ruiz <ecr7407@gmail.com>

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Package powerbrmsINLA updated to version 1.2.0 with previous version 1.1.1 dated 2025-11-16

Title: Bayesian Power Analysis Using 'brms' and 'INLA'
Description: Provides tools for Bayesian power analysis and assurance calculations using the statistical frameworks of 'brms' and 'INLA'. Includes simulation-based approaches, support for multiple decision rules (direction, threshold, ROPE), sequential designs, and visualisation helpers. Methods are based on Kruschke (2014, ISBN:9780124058880) "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan", O'Hagan & Stevens (2001) <doi:10.1177/0272989X0102100307> "Bayesian Assessment of Sample Size for Clinical Trials of Cost-Effectiveness", Kruschke (2018) <doi:10.1177/2515245918771304> "Rejecting or Accepting Parameter Values in Bayesian Estimation", Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations", and Bürkner (2017) <doi:10.18637/jss.v080.i01> "brms: An R Package for Bayesian Multilevel Models using Stan".
Author: Tony Myers [aut, cre]
Maintainer: Tony Myers <admyers@aol.com>

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Package rsinaica updated to version 1.2.0 with previous version 1.1.1 dated 2026-02-27

Title: Download Data from Mexico's Air Quality Information System
Description: Easy-to-use functions for downloading air quality data from the Mexican National Air Quality Information System (SINAICA). Allows you to query pollution and meteorological parameters from more than a hundred monitoring stations located throughout Mexico. See <https://sinaica.inecc.gob.mx> for more information.
Author: Diego Valle-Jones [aut, cre]
Maintainer: Diego Valle-Jones <diego@diegovalle.net>

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Package robvis updated to version 0.3.1 with previous version 0.3.0 dated 2019-11-22

Title: Visualize the Results of Risk-of-Bias (ROB) Assessments
Description: Helps users in quickly visualizing risk-of-bias assessments performed as part of a systematic review. It allows users to create weighted bar-plots of the distribution of risk-of-bias judgments within each bias domain, in addition to traffic-light plots of the specific domain-level judgments for each study. The resulting figures are of publication quality and are formatted according the risk-of-bias assessment tool use to perform the assessments. Currently, the supported tools are ROB2.0 (for randomized controlled trials; Sterne et al (2019) <doi:10.1136/bmj.l4898>), ROBINS-I (for non-randomised studies of interventions; Sterne et al (2016) <doi:10.1136/bmj.i4919>), and QUADAS-2 (for diagnostic accuracy studies; Whiting et al (2011) <doi:10.7326/0003-4819-155-8-201110180-00009>).
Author: Luke McGuinness [aut, cre], Emily Kothe [ctb]
Maintainer: Luke McGuinness <luke@robvis.org>

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Package insurancerating updated to version 0.8.0 with previous version 0.7.5 dated 2024-10-09

Title: Actuarial Tools for Insurance Pricing Models
Description: Provides actuarial tools and building blocks for analysing, modelling, refining, and validating insurance rating models. Designed to support common GLM-based pricing tasks and the translation of statistical model output into practical tariff structures. The package supports the construction of insurance tariff classes using a data-driven approach, based on the methodology of Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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New package selectTWFE with initial version 0.2.1
Package: selectTWFE
Title: Model Selection Between TWFE and ETWFE
Version: 0.2.1
Description: Estimates both a vanilla two-way fixed effects (TWFE) model and an extended TWFE (ETWFE) model, then selects between them using Cochran's Q test for heterogeneity. When ETWFE wins, reports the heterogeneity fraction (I-squared) and cohort-time estimates with empirical Bayes shrinkage and Bonferroni multiplicity correction. Methods build on Wooldridge (2025) <doi:10.1007/s00181-025-02807-z> and Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: etwfe, fixest, ggplot2, scales, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-29 15:10:18 UTC; ph3828
Author: Paul von Hippel [aut, cre]
Maintainer: Paul von Hippel <ph3828@eid.utexas.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-06-02 11:20:02 UTC

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New package rarefun with initial version 0.1.0
Package: rarefun
Title: Functions for Rare Events Analysis
Version: 0.1.0
Description: Functions for detecting and analyzing rare events in data. Implements isolation forest (Liu et al., 2008, <doi:10.1109/ICDM.2008.17>) and clustering for anomaly detection in time series residuals. Decomposes time series using LOESS (Locally Estimated Scatterplot Smoothing) or STL (Seasonal-Trend decomposition using LOESS). Detects marine heatwaves and cold spells following Hobday et al. (2016) <doi:10.1016/j.pocean.2015.12.014>. Provides goodness-of-fit tests for quantile regression (Haupt et al., 2011, <doi:10.1080/02664763.2011.573542>), partial dependence with quantile random forests, MCC (Matthews Correlation Coefficient) computation and testing, knee-point detection via the Kneedle algorithm (Satopaa et al., 2011, <doi:10.1109/ICDCSW.2011.20>), and spatial point matching.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: RANN, boot, dbscan, geosphere, isotree, Rdpack, parallel, pdp, stats
Suggests: testthat (>= 3.0.0), dplyr, ggplot2, heatwaveR, patchwork, quantmod, quantreg, ranger, viridis
URL: https://github.com/vlyubchich/rarefun
BugReports: https://github.com/vlyubchich/rarefun/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-29 16:09:36 UTC; vyach
Author: Vyacheslav Lyubchich [aut, cre] , Genevieve Nesslage [aut]
Maintainer: Vyacheslav Lyubchich <lyubchich@umces.edu>
Repository: CRAN
Date/Publication: 2026-06-02 11:10:02 UTC

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New package PFCI with initial version 0.1.0
Package: PFCI
Title: Penalized Fast Causal Inference for High-Dimensional Structure Learning
Version: 0.1.0
Date: 2026-05-28
Description: Implements Penalized Fast Causal Inference (PFCI), a two-stage causal structure learning procedure for high-dimensional settings with potential latent variables and selection bias. In the first stage, neighborhood selection via the Lasso constructs a sparse undirected skeleton. In the second stage, the Fast Causal Inference (FCI) algorithm orients edges on this reduced graph, producing a Partial Ancestral Graph (PAG) that accounts for latent confounders. The method is consistent under sparsity assumptions and substantially faster than standard FCI and RFCI in high dimensions. See Pal, Ghosh, and Yang (2025) <doi:10.48550/arXiv.2507.00173> for the underlying theory.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/djghosh1123/PFCI
BugReports: https://github.com/djghosh1123/PFCI/issues
Imports: stats, glasso, methods
Suggests: pcalg, graph, RBGL, Rgraphviz, testthat (>= 3.0.0), knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-29 19:16:19 UTC; dghosh3
Author: Samhita Pal [aut] , Dhrubajyoti Ghosh [aut, cre] , Shu Yang [aut]
Maintainer: Dhrubajyoti Ghosh <dghosh3@kennesaw.edu>
Repository: CRAN
Date/Publication: 2026-06-02 11:20:13 UTC

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New package mapnhanespa with initial version 0.1.0
Package: mapnhanespa
Title: Map Quantiles for Physical Activity from 'NHANES'
Version: 0.1.0
Description: Maps physical activity from the National Health and Nutrition Examination Survey ('NHANES') study into population-based quantiles.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
LazyData: true
LazyDataCompression: xz
URL: https://github.com/jhuwit/mapnhanespa
BugReports: https://github.com/jhuwit/mapnhanespa/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: dplyr, magrittr, purrr, survey
NeedsCompilation: no
Packaged: 2026-05-29 16:31:16 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-02 11:10:08 UTC

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Package ibr updated to version 2.4-2 with previous version 2.4-1 dated 2026-05-11

Title: Iterative Bias Reduction
Description: Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.
Author: Pierre-Andre Cornillon [aut, cre], Nicolas Hengartner [aut], Eric Matzner-Lober [aut]
Maintainer: Pierre-Andre Cornillon <pierre-andre.cornillon@univ-rennes2.fr>

Diff between ibr versions 2.4-1 dated 2026-05-11 and 2.4-2 dated 2026-06-02

 DESCRIPTION    |    8 ++++----
 MD5            |   10 +++++-----
 R/ibr.fit.R    |   16 ++++++++++++----
 man/forward.Rd |    2 +-
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 man/ibr.fit.Rd |    6 ++++--
 6 files changed, 29 insertions(+), 17 deletions(-)

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Package FluxSeparator updated to version 2.0.0 with previous version 1.0.1 dated 2026-03-29

Title: Separation of Diffusive and Ebullitive Fluxes
Description: Separates diffusive and ebullitive (bubble) fluxes from continuous concentration measurements using a running variance approach. Ebullitive events are identified when the running variance exceeds a user-set threshold. Diffusive fluxes are calculated via linear regression on the non-ebullitive portion of the data. See Sø et al. (2024) <doi:10.1029/2024JG008035> for details.
Author: Jonas Stage Soe [aut, cre] , Kaj Sand-Jensen [ctb] , Theis Kragh [ctb]
Maintainer: Jonas Stage Soe <Jonassoe@biology.sdu.dk>

Diff between FluxSeparator versions 1.0.1 dated 2026-03-29 and 2.0.0 dated 2026-06-02

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 MD5                       |   13 +++++++++----
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 NEWS.md                   |    6 ++++++
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 R/diff_flux_func.R        |only
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 10 files changed, 77 insertions(+), 13 deletions(-)

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New package childpen with initial version 0.2.3
Package: childpen
Title: Identification and Estimation of Child Penalties
Version: 0.2.3
Description: Tools to simulate child-penalty data and estimate DID, TD, and NTD identification frameworks from Leventer (2025), "Identification of Child Penalties" <doi:10.48550/arXiv.2602.07486>.
License: MIT + file LICENSE
URL: https://github.com/dorleventer/childpen, https://dorleventer.github.io/childpen/
BugReports: https://github.com/dorleventer/childpen/issues
Imports: data.table, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), purrr, scales, dplyr, tidyr, ggplot2
Encoding: UTF-8
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-05-29 20:21:48 UTC; dorleventer
Author: Dor Leventer [aut, cre]
Maintainer: Dor Leventer <leventerdor@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-02 11:20:07 UTC

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New package serad with initial version 0.2.0
Package: serad
Title: Standardized Economic Reporting and Automated Dynamic Writing / Synthèse d'Écrits Avec des Règles Automatisées et Dynamiques
Version: 0.2.0
Description: Provides tools for generating dynamic and standardized economic narratives in R Markdown documents. The package is primarily designed for French-language statistical and economic publications. It includes functions to describe changes in levels, percentages, trends, accelerations and short-term economic developments using consistent linguistic rules. The package supports automated reporting workflows and reproducible economic writing. Fournit des outils permettant de générer des textes économiques dynamiques et standardisés dans des documents R Markdown. Le package est principalement conçu pour les publications statistiques et économiques en français. Il propose des fonctions permettant de décrire les évolutions de niveaux, de pourcentages, de tendances, d'accélérations et les évolutions conjoncturelles à l'aide de règles linguistiques homogènes. Le package facilite l'automatisation de la rédaction et la reproductibilité des publications économiques.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: utils, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-29 14:33:43 UTC; X6QOAN
Author: Alexandre Cazenave-Lacroutz [aut] , Jules Lejas [cre], Direction de l'animation de la recherche, des etudes et des statistiques [cph]
Maintainer: Jules Lejas <jules.lejas@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-02 11:00:02 UTC

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Package ICCDesign updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-27

Title: Intraclass Correlation Coefficient (ICC) Design, Calculation and Interactive 'shiny' Toolkit
Description: A comprehensive toolkit for intraclass correlation coefficient (ICC) analysis, integrating three core functionalities: (1) Closed-form sample size calculation for ICC estimation with assurance probability, based on Zou (2012) <doi:10.1002/sim.5466>; (2) Full implementation of all 10 ICC types (6 common + 4 supplementary) for point estimation, exact confidence interval calculation, and formal hypothesis testing, following the methods of McGraw & Wong (1996) <doi:10.1037/1082-989X.1.1.30> and the standard decision framework; (3) An interactive 'shiny' application that guides users through ICC type selection, performs calculations, and provides reliability evaluation based on the Koo & Li (2016) <doi:10.1016/j.jcm.2016.02.012> criteria. Compared to existing packages, it provides a unified decision workflow and supports all less common ICC variants.
Author: Ziyu Liu [aut, cre], Ruilin Ma [aut], Chenge Gao [aut], Yundan Zhang [aut]
Maintainer: Ziyu Liu <1755454769@qq.com>

Diff between ICCDesign versions 0.1.0 dated 2026-05-27 and 0.1.1 dated 2026-06-02

 DESCRIPTION    |    6 ++---
 MD5            |    5 ++--
 NEWS.md        |only
 R/utils-calc.R |   62 +++++++++++++++++++++++++++++++++++++++++----------------
 4 files changed, 51 insertions(+), 22 deletions(-)

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New package HOME with initial version 0.1.0
Package: HOME
Title: Harmonized Orphanhood Mortality Estimation
Version: 0.1.0
Description: Implements indirect demographic methods for estimating adult mortality from orphanhood data. The package includes the standard Brass and Hill (1973) method <https://scholar.google.com/scholar_lookup?&title=Estimating%20Adult%20Mortality%20from%20Orphanhood&pages=111-23&publication_year=1973&author=Brass%2CW.&author=Hill.%2CK.>, the regression-based approach developed by Timaeus (1992) <https://pubmed.ncbi.nlm.nih.gov/12317481/>, and the adjustments proposed by Luy (2012) <doi:10.1007/s13524-012-0101-4> for low-mortality populations. A relational model is used to harmonize estimates into comparable adult mortality indicators. The package also provides diagnostic tools to assess the sensitivity of results to assumptions about the mean age of childbearing and the choice of model life table family.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: ggplot2, gridExtra
Suggests: shiny, testthat, DT, readxl, writexl, plotly, scales, bslib
URL: https://github.com/tamaravaz/HOME
BugReports: https://github.com/tamaravaz/HOME/issues
NeedsCompilation: no
Packaged: 2026-05-29 14:07:52 UTC; tvaz
Author: Tamara Vaz [aut, cre]
Maintainer: Tamara Vaz <tamaravaz.m@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-02 11:00:19 UTC

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New package ahocorasick with initial version 0.2.0
Package: ahocorasick
Title: Fast Multi-Pattern String Matching with the 'Aho-Corasick' Algorithm
Version: 0.2.0
Description: Provide fast multi-pattern string matching for 'R' using the 'Aho-Corasick' algorithm, powered by the 'Rust' 'aho-corasick' crate. It builds reusable automatons for detecting matches, counting matches, locating character, extracting matched text, and replacing matches in character vectors. For more details on the 'Aho-Corasick' algorithm, please see Aho and Corasick (1975) <doi:10.1145/360825.360855>.
License: MIT + file LICENSE
URL: https://yousa-mirage.github.io/r-ahocorasick/, https://github.com/Yousa-Mirage/r-ahocorasick
BugReports: https://github.com/Yousa-Mirage/r-ahocorasick/issues
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65.0, xz
Depends: R (>= 4.2)
Imports: checkmate, cli, fs, rlang
Suggests: dplyr, knitr, pkgdown, rmarkdown, tibble, tidyr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2026-05-29 15:07:59 UTC; Yousa-Mirage
Author: Hao Cheng [aut, cre, cph]
Maintainer: Hao Cheng <Yousa-Mirage@foxmail.com>
Repository: CRAN
Date/Publication: 2026-06-02 11:00:07 UTC

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New package admixr2 with initial version 0.1.0
Package: admixr2
Title: Aggregate Data Modelling
Version: 0.1.0
Description: Fit pharmacokinetic/pharmacodynamic (PK/PD) models to aggregate-level data (mean vector and covariance matrix per study) rather than individual-level data. Integrates with the 'nlmixr2'/'rxode2' ecosystem via three estimation methods: a First-Order ('FO') analytical estimator, a Monte Carlo (MC) estimator, and an Iterative Reweighting Monte Carlo ('IRMC') estimator. Methods are based on Välitalo (2021) <doi:10.1007/s10928-021-09760-1>; software described in van de Beek et al. (2025) <doi:10.1007/s10928-025-10011-w>.
License: GPL (>= 3)
URL: https://leidenpharmacology.github.io/admixr2/, https://github.com/LeidenPharmacology/admixr2
BugReports: https://github.com/LeidenPharmacology/admixr2/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: checkmate, digest, nlmixr2est, nloptr, qs2, randtoolbox, Rcpp, rxode2
LinkingTo: Rcpp, RcppEigen
Suggests: expm, furrr, future, ggplot2, knitr, mnormt, nlmixr2, patchwork, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-29 13:52:39 UTC; hidde
Author: H. van de Beek [aut, cre], P.A.J. Vaelitalo [aut], L.B. Zwep [aut], J.G.C. van Hasselt [aut]
Maintainer: H. van de Beek <h.van.de.beek@lacdr.leidenuniv.nl>
Repository: CRAN
Date/Publication: 2026-06-02 10:50:02 UTC

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New package TestNet with initial version 1.0
Package: TestNet
Title: A Method for Inferring Microbial Networks with FDR Control
Version: 1.0
Date: 2026-05-28
Description: A testing method for inferring microbial networks. It differs from existing microbial network analyses in that it provides calibrated results by controlling the false discovery rate. The method accounts for the complex features of taxa count data. It also accommodates both independent and clustered samples, offers separate linear and nonlinear tests for each pair of taxa, and includes an omnibus test that bypasses the need to specify the type of relationship for each pair of taxa.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: permute, matrixStats, dcov, stats, utils
Suggests: R.rsp, testthat
URL: https://github.com/yijuanhu/TestNet
BugReports: https://github.com/yijuanhu/TestNet/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-29 12:29:27 UTC; yhu30
Author: Yi-Juan Hu [aut, cre]
Maintainer: Yi-Juan Hu <yijuanhu@bicmr.pku.edu.cn>
Repository: CRAN
Date/Publication: 2026-06-02 09:40:02 UTC

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New package DENSaftertransform with initial version 0.1
Package: DENSaftertransform
Title: Estimating Density after Logarithmic or Power Transformation of Data
Version: 0.1
Description: Functions for computing: (1) the adaptive normal PI estimate for data after the logarithmic transformation; (2) single-bandwidth PI density estimate for data after the logarithmic transformation; (3) single bandwidth PI estimate for data after the power transformation. See the articles: (1) Savchuk, O. (2026, under review). Density estimation for log-transformed data; (2) Savchuk, O., Schick A. (2013). Density estimation for power transformations. Journal of Nonparametric Statistics, 25(3), 545-559 <doi:10.1080/10485252.2013.811788>.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-29 12:41:48 UTC; olgay
Author: Olga Savchuk [aut, cre]
Maintainer: Olga Savchuk <olga.y.savchuk@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-02 09:40:07 UTC

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New package db2pq with initial version 0.0.4
Package: db2pq
Title: Export Database Tables to 'Parquet'
Version: 0.0.4
Description: Tools for exporting 'PostgreSQL' tables to 'Parquet' files, with support for chunked writes, column type overrides, and timezone-aware timestamp handling. Includes functions for maintaining a local 'Parquet' data library sourced from 'WRDS' (Wharton Research Data Services), with update-checking based on table metadata, and archive management utilities for versioning local data files. See Gow and Ding (2024) "Empirical Research in Accounting: Tools and Methods" <doi:10.1201/9781003456230>.
URL: https://github.com/iangow/db2pqr, https://iangow.github.io/db2pqr/
BugReports: https://github.com/iangow/db2pqr/issues
Author: Ian D. Gow [aut, cre]
Maintainer: Ian D. Gow <iandgow@gmail.com>
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: arrow, DBI, keyring, RPostgres, tibble, tools, wrds
Suggests: adbcpostgresql, adbcdrivermanager, adbi, duckdb, dplyr, dbplyr, ggplot2, knitr, nanoarrow, processx, quarto, rstudioapi, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-29 13:34:03 UTC; igow
Repository: CRAN
Date/Publication: 2026-06-02 09:50:02 UTC

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New package RCtest with initial version 1.0
Package: RCtest
Title: Reality Check and Predictive Ability Tests for Forecast Evaluation
Description: Implements a comprehensive suite of statistical tests for evaluating the accuracy of forecasting models against a benchmark. The package is grounded in the reality check framework of White (2000) <doi:10.1111/1468-0262.00152>, extended by Hansen (2005) <doi:10.1198/073500105000000063> for Superior Predictive Ability (SPA), 'Giacomini' & White (2006) <doi:10.1111/j.1468-0262.2006.00718.x> for Conditional Predictive Ability (CPA), and 'Corradi' & Swanson (2006) <doi:10.1016/j.jeconom.2005.07.026> for predictive density evaluation via the 'Kullback'-'Leibler' Information Criterion ('KLIC') and 'ZP' Quantile Loss test, the Continuous Ranked Probability Score ('CRPS') ('Gneiting' & 'Raftery', 2007) <doi:10.1198/016214506000001437>, coverage tests ('Kupiec', 1995) <doi:10.3905/jod.1995.407942>, 'HAC' covariance estimation ('Newey' & West, 1987) <doi:10.2307/1913610>, and Moving Block Bootstrap resampling ('Kunsch', 1989) <doi:10.12 [...truncated...]
Imports: ggplot2, gridExtra, ggrepel, rlang, stats
Encoding: UTF-8
LazyData: true
Note: This research was funded in whole by National Science Centre, Poland, grant number 2022/45/B/HS4/00510.
Version: 1.0
Date: 2026-05-29
License: GPL-3
NeedsCompilation: no
Author: Joanna Jedrzejewska [aut, cre] , Krzysztof Drachal [ctb]
Maintainer: Joanna Jedrzejewska <j.jedrzejewska3@uw.edu.pl>
Depends: R (>= 3.5.0)
Packaged: 2026-05-29 11:34:48 UTC; joannajedrzejewska
Language: en-US
Repository: CRAN
Date/Publication: 2026-06-02 08:20:08 UTC

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New package leunbachR with initial version 0.1.0
Package: leunbachR
Title: Leunbach Test Equating
Version: 0.1.0
URL: https://github.com/pgmj/leunbachR, https://pgmj.github.io/leunbachR/
BugReports: https://github.com/pgmj/leunbachR/issues
Description: Implements the Leunbach test equating method, following the 'DIGRAM' software written by Svend Kreiner. Both direct and indirect equating are available, with parametric bootstrap standard errors and diagnostic statistics including the Goodman-Kruskal gamma test and orbit analysis for person fit. See Adroher et al. (2019) <doi:10.1186/s12874-019-0768-y> for details of the method.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, mirai, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-29 10:40:43 UTC; magnus.johansson.3
Author: Magnus Johansson [aut, cre]
Maintainer: Magnus Johansson <pgmj@pm.me>
Repository: CRAN
Date/Publication: 2026-06-02 08:20:02 UTC

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New package fussclust with initial version 0.1.0
Package: fussclust
Title: Fuzzy Unsupervised and Semi-Supervised Clustering
Version: 0.1.0
Description: Methods for distance-based fuzzy unsupervised and semi-supervised clustering, including fuzzy and possibilistic models based on alternating optimization (AO) algorithm. The package introduces a vectorized estimation framework for prototype-based fuzzy clustering algorithms, enabling modular algorithm design and extensibility. It also supports storage and retrieval of intermediate AO optimization results for downstream analysis and processing. For more details see Kmita et al. (2024) <doi:10.1109/TFUZZ.2024.3370768>.
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: rdist
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-29 11:52:20 UTC; user
Author: Kamil Kmita [aut, cre, cph]
Maintainer: Kamil Kmita <kamil.kmita17@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-02 08:30:02 UTC

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New package fjohansen with initial version 0.1.0
Package: fjohansen
Title: Johansen Cointegration Test with Fourier-Type Smooth Nonlinear Trends
Version: 0.1.0
Date: 2026-05-29
Maintainer: Merwan Roudane <merwanroudane920@gmail.com>
Description: Implements the Johansen cointegration test with Fourier-type smooth nonlinear deterministic trends restricted to cointegrating relations, as developed by Kurita and Shintani (2025) <doi:10.1080/07474938.2025.2530640>. Six model variants are supported: CNR (constant plus nonlinear, restricted in the cointegrating space), LNR (linear plus nonlinear, restricted), CNU (constant restricted, nonlinear unrestricted), LNU (linear restricted, nonlinear unrestricted), plus the standard constant- and linear-trend restricted Johansen models. The package also bundles the feasible generalised least squares (FGLS) Wald test of Perron, Shintani and Yabu (2017) <doi:10.1111/obes.12169> used as a frequency-selection pre-step, together with bundled critical-value tables, a vectorised simulator for the limiting distribution, publication-quality table exports (LaTeX and HTML) and 'ggplot2' figures matching those of the paper.
URL: https://github.com/merwanroudane/fjohansen
BugReports: https://github.com/merwanroudane/fjohansen/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, utils, grDevices, graphics, ggplot2 (>= 3.4.0), scales
Suggests: testthat (>= 3.0.0), kableExtra, knitr, rmarkdown, patchwork
NeedsCompilation: no
Packaged: 2026-05-29 12:04:25 UTC; HP
Author: Merwan Roudane [aut, cre]
Repository: CRAN
Date/Publication: 2026-06-02 08:30:09 UTC

More information about fjohansen at CRAN
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Package cheetahR updated to version 0.4.0 with previous version 0.3.0 dated 2025-07-21

Title: High Performance Tables Using 'Cheetah Grid'
Description: An R interface to 'Cheetah Grid', a high-performance JavaScript table widget. 'cheetahR' allows users to render millions of rows in just a few milliseconds, making it an excellent alternative to other R table widgets. The package wraps the 'Cheetah Grid' JavaScript functions and makes them readily available for R users. The underlying grid implementation is based on 'Cheetah Grid' <https://github.com/future-architect/cheetah-grid>.
Author: Olajoke Oladipo [aut, cre], David Granjon [aut], cynkra GmbH [fnd]
Maintainer: Olajoke Oladipo <olajoke@cynkra.com>

Diff between cheetahR versions 0.3.0 dated 2025-07-21 and 0.4.0 dated 2026-06-02

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New package catekappa with initial version 0.1.0
Package: catekappa
Title: Design and Analysis of Consistency Tests Based on Kappa Statistic
Version: 0.1.0
Description: Provides a 'Shiny' application and supporting functions for the design and analysis of consistency tests based on Kappa statistic with categorical responses. Wraps 'irr' and 'kappaSize' packages.
License: CC0
Encoding: UTF-8
Imports: bslib, irr, kappaSize, shiny, utils
NeedsCompilation: no
Packaged: 2026-05-29 12:12:46 UTC; z2118
Author: Gai Zheng [aut, cre], Xincheng Li [aut], Yingjie Jiangwang [aut], Panwei Zhao [aut]
Maintainer: Gai Zheng <z2118778229@163.com>
Repository: CRAN
Date/Publication: 2026-06-02 08:30:15 UTC

More information about catekappa at CRAN
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New package actigraph.sleepr with initial version 0.3.1
Package: actigraph.sleepr
Title: Detect Periods of Sleep and Non-Wear in 'ActiGraph' Data
Version: 0.3.1
Description: Reads *.agd files exported from 'ActiGraph' devices; implements the Troiano (2008) <doi:10.1249/mss.0b013e31815a51b3> and Choi (2011) <doi:10.1249/MSS.0b013e3181ed61a3> algorithms for detecting periods on non-wear; implements the Sadeh (1994) <doi:10.1093/sleep/17.3.201> and Cole-Kripke (1992) <doi:10.1093/sleep/15.5.461> algorithms for detecting asleep/awake state and the Tudor-Locke (2014) <doi:10.1139/apnm-2013-0173> algorithm to detect sleep periods from asleep/awake states.
URL: https://github.com/dipetkov/actigraph.sleepr
BugReports: https://github.com/dipetkov/actigraph.sleepr/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2.4)
Imports: DBI, RcppRoll, RSQLite, dplyr (>= 1.0.1), tidyr (>= 1.1.1), assertthat, ggplot2, lubridate, purrr, rlang, zoo, magrittr, tibble, tidyselect
Suggests: covr, knitr, readr, rmarkdown, testthat, lintr
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-05-29 12:09:55 UTC; desislp
Author: Desislava Petkova [aut, cre], John Muschelli [ctb]
Maintainer: Desislava Petkova <desislavka@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-02 08:30:20 UTC

More information about actigraph.sleepr at CRAN
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Package zippeR updated to version 0.2.0 with previous version 0.1.2 dated 2025-04-25

Title: Working with United States ZIP Code and ZIP Code Tabulation Area Data
Description: Provides a set of functions for working with American postal codes, which are known as ZIP Codes. These include accessing ZIP Code to ZIP Code Tabulation Area (ZCTA) crosswalks, retrieving demographic data for ZCTAs, and tabulating demographic data for three-digit ZCTAs.
Author: Christopher Prener [aut, cre] , Timothy Wiemken [aut] , Angela Cook [aut]
Maintainer: Christopher Prener <Christopher.Prener@pfizer.com>

Diff between zippeR versions 0.1.2 dated 2025-04-25 and 0.2.0 dated 2026-06-02

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 vignettes/three-digit-zips.Rmd            |    2 
 61 files changed, 2025 insertions(+), 845 deletions(-)

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Package xiacf updated to version 0.6.2 with previous version 0.6.1 dated 2026-05-31

Title: Nonlinear Dependence and Lead-Lag Analysis via Chatterjee's Xi
Description: Computes Chatterjee's non-parametric correlation coefficient for time series data. It extends the original metric to time series analysis by providing the univariate Xi-Autocorrelation Function (Xi-ACF), directional Xi-Cross-Correlation Function (Xi-CCF), and multivariate network evaluation matrices. The package allows users to test for non-linear dependence using Iterative Amplitude Adjusted Fourier Transform (IAAFT) and Multivariate IAAFT (MIAAFT) surrogate data with strict Family-Wise Error Rate ('FWER') control via Max-statistic approaches. Methodologies are based on Chatterjee (2021) <doi:10.1080/01621459.2020.1758115>, surrogate data testing methods by Schreiber and Schmitz (1996) <doi:10.1103/PhysRevLett.77.635>, and local structural identification by Watanabe (2026) <doi:10.2139/ssrn.6829431>.
Author: Yasunori Watanabe [aut, cre]
Maintainer: Yasunori Watanabe <watanabe.yasunori@outlook.com>

Diff between xiacf versions 0.6.1 dated 2026-05-31 and 0.6.2 dated 2026-06-02

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New package tpglp with initial version 0.1.0
Package: tpglp
Title: Three-Parameter Generalized Lindley-Poisson Distribution Functions
Version: 0.1.0
Description: Provides functions for random generation, density, cumulative distribution, quantile function, moments, and log-likelihood for a three-parameter generalized Lindley-Poisson mixture model.
License: GPL-3
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-05-29 01:51:18 UTC; nisan
Author: Nisansala Wijerathna [aut, cre], DiangLiang Deng [ths]
Maintainer: Nisansala Wijerathna <nisansaladulmini32@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-02 07:50:08 UTC

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New package telegramR with initial version 0.0.1
Package: telegramR
Title: Interact with the 'Telegram' 'MTProto' API
Version: 0.0.1
Description: Provides a full-featured client for the 'Telegram' 'MTProto' protocol (<https://core.telegram.org/api>), enabling programmatic access to 'Telegram' chats, channels, messages, media, and stories. Implements binary encoding and decoding of the 'Telegram' 'TL' (Type Language) schema, authentication (including two-factor), encrypted transport, and high-level helpers for downloading channel history and reactions at scale. Intended for social-science research and data collection tasks that require direct API access rather than the 'Bot API'.
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: no
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), digest (>= 0.6.37), openssl (>= 2.2.2), base64enc (>= 0.1-3), jsonlite (>= 1.8.9), R6, future, httr, logger, promises, later, bitops, gmp, xml2, mime, tibble, dplyr, callr
LinkingTo: Rcpp
Suggests: data.table, testthat (>= 3.0.0), withr, exiftoolr, fs, getPass, magick, knitr, rmarkdown, ggplot2, lubridate, tidyr, covr, devtools, readr, stringr, stopwords, RColorBrewer, scales, stringi
URL: https://romankyrychenko.github.io/telegramR/, https://github.com/RomanKyrychenko/telegramR
BugReports: https://github.com/RomanKyrychenko/telegramR/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-29 05:44:10 UTC; romankyrychenko
Author: Roman Kyrychenko [aut, cre, cph]
Maintainer: Roman Kyrychenko <roman.kyrychenko@helsinki.fi>
Repository: CRAN
Date/Publication: 2026-06-02 08:00:02 UTC

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Package spatstat updated to version 3.6-1 with previous version 3.6-0 dated 2026-04-02

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory 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 correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat versions 3.6-0 dated 2026-04-02 and 3.6-1 dated 2026-06-02

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Package rxode2 updated to version 5.1.2 with previous version 5.1.1 dated 2026-05-28

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Awad H. Al-Mohy [ctb], Bill Denney [ctb] , Cleve Moler [ctb], David Cooley [ctb], Drew Schmidt [ctb], Ernst Hairer [ctb], Gabriel Staples [ctb], Gerhard W [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between rxode2 versions 5.1.1 dated 2026-05-28 and 5.1.2 dated 2026-06-02

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 14 files changed, 159 insertions(+), 73 deletions(-)

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New package serodynamics with initial version 0.1.0
Package: serodynamics
Title: Modeling Longitudinal Antibody Responses to Infection
Version: 0.1.0
Description: Implements Bayesian hierarchical models for estimating antibody kinetic parameters from longitudinal serological data. Fits two-phase within-host models capturing antibody rise, peak, and decay following pathogen infection, using 'JAGS' for posterior inference. Designed as the upstream companion to the 'serocalculator' package for end-to-end seroepidemiological analysis. Methods are described in Teunis and colleagues (2016) <doi:10.1016/j.epidem.2016.04.001> and Teunis and van Eijkeren (2020) <doi:10.1002/sim.8578>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/UCD-SERG/serodynamics, https://ucd-serg.github.io/serodynamics/
BugReports: https://github.com/UCD-SERG/serodynamics/issues
SystemRequirements: JAGS (>= 4.3.1)
Imports: cli, coda, dplyr, ggmcmc (>= 1.5.1.2), ggplot2, purrr, rlang, runjags, scales, serocalculator (>= 1.4.1), stats, tibble, tidyr, tidyselect, utils
Suggests: Hmisc, knitr, readr, rlist, sessioninfo, spelling, stringr, testthat (>= 3.0.0), tidyverse, withr, vdiffr, fs, here, rjags, rmarkdown, magrittr, rex, quarto
Language: en-US
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr, quarto
NeedsCompilation: no
Packaged: 2026-05-28 21:59:23 UTC; samuelschildhauer
Author: Peter Teunis [aut, cph] , Samuel Schildhauer [aut, cre] , Kwan Ho Lee [aut] , Kristen Aiemjoy [aut] , Douglas Ezra Morrison [aut]
Maintainer: Samuel Schildhauer <sschildhauer@ucdavis.edu>
Repository: CRAN
Date/Publication: 2026-06-02 07:50:22 UTC

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Package rlas updated to version 1.9.3 with previous version 1.9.2 dated 2026-05-21

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [aut, ctb] , Martin Isenburg [cph] , David Auty [ctb] , Pierrick Marie [ctb] , Tiago de Conto [ctb]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

Diff between rlas versions 1.9.2 dated 2026-05-21 and 1.9.3 dated 2026-06-02

 rlas-1.9.2/rlas/inst/tinytest/test-remote.R              |only
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 rlas-1.9.3/rlas/src/LASzip/integercompressor.cpp         |   24 +-
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 rlas-1.9.3/rlas/src/LASzip/laswriteitemcompressed_v4.cpp |  152 ++++++---------
 10 files changed, 273 insertions(+), 328 deletions(-)

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New package RaCE.NMA with initial version 1.0.3
Package: RaCE.NMA
Title: Rank-Clustered Estimation for Network Meta-Analysis
Version: 1.0.3
Description: An implementation of the RaCE-NMA (Rank-Clustered Estimation for Network Meta-Analysis) model for post-hoc clustering of treatments or interventions by rank in network meta-analysis data. Functions for model estimation, assessment, and displaying results are provided. For more details, see Pearce and Zhou (2025) <doi:10.1017/rsm.2025.10049>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
Imports: utils, magrittr, dplyr, invgamma, mvtnorm, coda, reshape2, ggplot2
Suggests: knitr, rmarkdown, devtools, cowplot, gridExtra
VignetteBuilder: knitr
URL: https://pearce790.github.io/RaCE.NMA/, https://github.com/pearce790/RaCE.NMA/
BugReports: https://github.com/pearce790/RaCE.NMA/issues
NeedsCompilation: no
Packaged: 2026-05-28 23:15:08 UTC; michaelpearce
Author: Michael Pearce [aut, cre, cph] , Shouhao Zhou [aut]
Maintainer: Michael Pearce <michaelpearce@reed.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-06-02 07:50:42 UTC

More information about RaCE.NMA at CRAN
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Package nasapower updated to version 4.3.0 with previous version 4.2.5 dated 2025-05-31

Title: NASA POWER API Client
Description: An API client for NASA POWER global meteorology, surface solar energy and climatology data API. POWER (Prediction Of Worldwide Energy Resources) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community. This work is funded through the NASA Earth Science Directorate Applied Science Program. For more on the data themselves, the methodologies used in creating, a web-based data viewer and web access, please see <https://power.larc.nasa.gov/>.
Author: Adam H. Sparks [aut, cre] , Scott Chamberlain [rev] , Hazel Kavili [rev] , Alison Boyer [rev] , Fernando Miguez [ctb] , Maelle Salmon [ctb] , Phillip D. Alderman [ctb] ` must use `I` for literal data as of vroom 1.5.0.', see <https://github.com/ropen [...truncated...]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

Diff between nasapower versions 4.2.5 dated 2025-05-31 and 4.3.0 dated 2026-06-02

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Package earthUI updated to version 0.8.0 with previous version 0.1.3 dated 2026-03-18

Title: Interactive 'shiny' GUI for the 'earth' Package
Description: Provides a 'shiny'-based graphical user interface for the 'earth' package, enabling interactive building and exploration of Multivariate Adaptive Regression Splines (MARS) models. Features include data import from CSV and 'Excel' files, automatic detection of categorical variables, interactive control of interaction terms via an allowed matrix, comprehensive model diagnostics with variable importance and partial dependence plots, and publication-quality report generation via 'Quarto'.
Author: William Craytor [aut, cre]
Maintainer: William Craytor <bcraytor@proton.me>

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New package blisa with initial version 0.2.0
Package: blisa
Title: Infer Cell-Cell Communication from Spatial Transcriptomics
Version: 0.2.0
Description: Identifies cell-cell communication hotspots in spatial transcriptomics data using bivariate Local Moran's I statistics on hexagonally binned cells. Provides functions for spatial weighting, ligand-receptor pair filtering, hotspot detection, and visualisation of sender-receiver cell-type interactions.
License: GPL (>= 3)
Encoding: UTF-8
Imports: sf, spdep, Matrix, SpatialExperiment, SummarizedExperiment, ComplexHeatmap, ggplot2, viridisLite, grid
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-05-29 02:55:39 UTC; yuchen
Author: Yunshun Chen [aut, cre], Lei Qin [aut], Lizhong Chen [aut]
Maintainer: Yunshun Chen <yuchen@wehi.edu.au>
Repository: CRAN
Date/Publication: 2026-06-02 07:50:36 UTC

More information about blisa at CRAN
Permanent link

Package surveyframe updated to version 0.3.1 with previous version 0.3.0 dated 2026-05-27

Title: Survey Instrument Workflows
Description: Supports survey research workflows built around a typed instrument object (the sframe). Features include visual instrument design via a browser-based builder or 'Shiny' studio, export to a self-contained static HTML survey, an embeddable 'Shiny' module, SHA-256 integrity-checked serialisation to the '.sframe' format, multi-page survey rendering, branching logic, response quality checking, scale scoring, psychometric diagnostics, analysis-plan execution, model syntax planning, an interactive response dashboard, codebook generation, and reproducible HTML reporting.
Author: Mohammed Ali Sharafuddin [aut, cre]
Maintainer: Mohammed Ali Sharafuddin <mohammedali.page@gmail.com>

Diff between surveyframe versions 0.3.0 dated 2026-05-27 and 0.3.1 dated 2026-06-02

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Package smoothbp updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-01

Title: Hierarchical Piecewise Regression with Smoothed Change-Points
Description: Fits Bayesian hierarchical piecewise regression models with multiple logistic-smoothed change-points. Non-linear parameters (change-point locations and transition sharpness) and linear parameters can each be conditioned on covariates and factors via flexible design matrices. A random-intercept structure is supported for any parameter. Spike-and-slab regularization is supported for selecting the number of breakpoints. Posterior inference uses a Metropolis-within-Gibbs sampler implemented in 'Rust' for speed. Methods are based on the smooth transition piecewise regression model of Bacon and Watts (1971) <doi:10.2307/2334389> and variable selection spike-and-slab priors of Kuo and Mallick (1998) <https://www.jstor.org/stable/25053023>.
Author: Aidan D Bindoff [aut, cre]
Maintainer: Aidan D Bindoff <aidan.bindoff@utas.edu.au>

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Package RobMixReg updated to version 1.1.3 with previous version 1.1.0 dated 2020-08-05

Title: Robust Mixture Regression
Description: Finite mixture models are a popular technique for modelling unobserved heterogeneity or to approximate general distribution functions in a semi-parametric way. They are used in a lot of different areas such as astronomy, biology, economics, marketing or medicine. This package is the implementation of popular robust mixture regression methods based on different algorithms including: fleximix, finite mixture models and latent class regression; CTLERob, component-wise adaptive trimming likelihood estimation; mixbi, bi-square estimation; mixL, Laplacian distribution; mixt, t-distribution; TLE, trimmed likelihood estimation. The implemented algorithms includes: CTLERob stands for Component-wise adaptive Trimming Likelihood Estimation based mixture regression; mixbi stands for mixture regression based on bi-square estimation; mixLstands for mixture regression based on Laplacian distribution; TLE stands for Trimmed Likelihood Estimation based mixture regression. For more detail of the algori [...truncated...]
Author: Sha Cao [aut, cph, ths], Wennan Chang [aut, cre], Chi Zhang [aut, ctb, ths]
Maintainer: Wennan Chang <changwn.nku@gmail.com>

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Package pmparser updated to version 1.0.26 with previous version 1.0.25 dated 2026-03-02

Title: Create and Maintain a Relational Database of Data from PubMed/MEDLINE
Description: Provides a simple interface for extracting various elements from the publicly available PubMed XML files, incorporating PubMed's regular updates, and combining the data with the NIH Open Citation Collection. See Schoenbachler and Hughey (2021) <doi:10.7717/peerj.11071>.
Author: Jake Hughey [aut, cre], Josh Schoenbachler [aut], Elliot Outland [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>

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Package mlogit updated to version 2.0-0 with previous version 1.1-3 dated 2025-07-12

Title: Multinomial Logit Models
Description: Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>

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Package gwas2crispr updated to version 0.1.5 with previous version 0.1.4 dated 2026-05-09

Title: GWAS-to-CRISPR Data Pipeline for High-Throughput SNP Target Extraction
Description: Provides a reproducible pipeline to conduct genome-wide association studies (GWAS) and extract single-nucleotide polymorphisms (SNPs) for a human trait or disease. Given aggregated GWAS dataset(s) and a user-defined significance threshold, the package retrieves significant SNPs from the GWAS Catalog using supported trait identifiers, annotates their gene context, and can write a harmonised metadata table in comma-separated values (CSV) format, genomic intervals in the Browser Extensible Data (BED) format, and sequences in the FASTA (text-based sequence) format with user-defined flanking regions for clustered regularly interspaced short palindromic repeats (CRISPR) guide design. The existing efo_id argument is retained for backward compatibility. The package prepares computational artifacts for downstream workflows; it does not perform biological causality testing, clinical interpretation, therapeutic design, or wet-lab validation. For details on the resources and methods see: Buniello [...truncated...]
Author: Othman S. I. Mohammed [aut, cre], LEOPARD.LY LTD [cph]
Maintainer: Othman S. I. Mohammed <admin@leopard.ly>

Diff between gwas2crispr versions 0.1.4 dated 2026-05-09 and 0.1.5 dated 2026-06-02

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Package flextable updated to version 0.9.12 with previous version 0.9.11 dated 2026-02-13

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint', R 'Grid Graphics' and 'patchwork'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Eli Daniels [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb], Titouan Robert [ctb], Michael Barrowman [ctb], Atsushi Yasumoto [ctb], Paul Julian [ctb], Sean B [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package CRMetrics updated to version 0.3.3 with previous version 0.3.2 dated 2024-11-07

Title: Cell Ranger Output Filtering and Metrics Visualization
Description: Sample and cell filtering as well as visualisation of output metrics from 'Cell Ranger' by Grace X.Y. Zheng et al. (2017) <doi:10.1038/ncomms14049>. 'CRMetrics' allows for easy plotting of output metrics across multiple samples as well as comparative plots including statistical assessments of these. 'CRMetrics' allows for easy removal of ambient RNA using 'SoupX' by Matthew D Young and Sam Behjati (2020) <doi:10.1093/gigascience/giaa151> or 'CellBender' by Stephen J Fleming et al. (2022) <doi:10.1101/791699>. Furthermore, it is possible to preprocess data using 'Pagoda2' by Nikolas Barkas et al. (2021) <https://github.com/kharchenkolab/pagoda2> or 'Seurat' by Yuhan Hao et al. (2021) <doi:10.1016/j.cell.2021.04.048> followed by embedding of cells using 'Conos' by Nikolas Barkas et al. (2019) <doi:10.1038/s41592-019-0466-z>. Finally, doublets can be detected using 'scrublet' by Samuel L. Wolock et al. (2019) <doi:10.1016/j.cels.2018.11.005> or 'D [...truncated...]
Author: Rasmus Rydbirk [aut, cre], Fabienne Kick [aut], Henrietta Holze [aut], Xian Xin [ctb], Laura Wolbeck [aut]
Maintainer: Rasmus Rydbirk <rrydbirk@bmb.sdu.dk>

Diff between CRMetrics versions 0.3.2 dated 2024-11-07 and 0.3.3 dated 2026-06-02

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Package aisdk updated to version 1.4.12 with previous version 1.4.11 dated 2026-05-30

Title: Unified Interface for AI Model Providers
Description: A production-grade AI toolkit for R featuring a layered architecture (Specification, Utilities, Providers, Core), request interception support, robust error handling with exponential retry delays, support for multiple AI model providers ('OpenAI', 'Anthropic', etc.), local small language model inference, distributed 'MCP' ecosystem, multi-agent orchestration, progressive knowledge loading through skills, and a global skill store for sharing AI capabilities.
Author: Yonghe Xia [aut, cre]
Maintainer: Yonghe Xia <xiayh17@gmail.com>

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Package adklakedata updated to version 0.7.1 with previous version 0.6.4 dated 2025-11-28

Title: Adirondack Long-Term Lake Data
Description: Package for the access and distribution of long-term lake datasets from 28 lakes in the Adirondack Park, northern New York state. Includes a wide variety of physical, chemical, and biological parameters originally described in Farrell et al. 2018 <doi:10.1038/sdata.2018.59>. Water chemistry and nutrient records are extended through 2024 using data from the USGS AQ Samples database, including new columns for surface temperature, UV-254 absorbance, and a program flag distinguishing AEAP integrated samples from ALTM surface grabs. The underlying figshare archive <doi:10.6084/m9.figshare.32305479> additionally contains chemistry records for 25 ALTM-only lakes; the package restricts to the 28 originals for consistency with the published dataset.
Author: Jeremy Farrell [aut, cre], Luke Winslow [aut], Taylor Leach [aut], Tobi Hahn [aut]
Maintainer: Jeremy Farrell <jeremyfarrell@gmail.com>

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Package Gmisc updated to version 3.3.0 with previous version 3.2.0 dated 2026-03-06

Title: Descriptive Statistics, Transition Plots, and More
Description: Utilities for common medical-statistics graphics and tables, including automatic creation of publication-ready "Table 1" summaries; transition (Sankey) plots; flow-chart helpers that extend the grid package; Bézier lines and arrows; and a singular-value-decomposition- based variable-selection method.
Author: Max Gordon [aut, cre]
Maintainer: Max Gordon <max@gforge.se>

Diff between Gmisc versions 3.2.0 dated 2026-03-06 and 3.3.0 dated 2026-06-02

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More information about Gmisc at CRAN
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Package HealthMarkers (with last version 0.1.2) was removed from CRAN

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

2026-05-19 0.1.2

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Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.