Tue, 31 Mar 2026

New package tynding with initial version 0.1.2
Package: tynding
Title: 'Typst' Bindings
Version: 0.1.2
Description: Provides bindings to the 'Typst' typesetting system, enabling users to compile 'Typst' documents directly from R. The package interfaces with the 'Typst' 'Rust' library to render documents, making it possible to integrate 'Typst'-based workflows into R scripts, reports, and reproducible research pipelines. It supports programmatic document generation, compilation, and output handling, facilitating seamless use of 'Typst' alongside tools such as knitr and Quarto.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/y-sunflower/tynding
BugReports: https://github.com/y-sunflower/tynding/issues
Depends: R (>= 4.2)
Suggests: testthat (>= 3.0.0)
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.89.0, xz
Imports: jsonlite
NeedsCompilation: yes
Packaged: 2026-03-26 13:18:55 UTC; josephbarbier
Author: Joseph Barbier [aut, cre]
Maintainer: Joseph Barbier <joseph@ysunflower.com>
Repository: CRAN
Date/Publication: 2026-03-31 09:40:02 UTC

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New package SPACO with initial version 1.0.0
Package: SPACO
Title: Spatial Component Analysis for Spatial Sequencing Data
Version: 1.0.0
Description: Spatial components offer tools for dimension reduction and spatially variable gene detection for high dimensional spatial transcriptomics data. Construction of a projection onto low-dimensional feature space of spatially dependent metagenes offers pre-processing to clustering, testing for spatial variability and denoising of spatial expression patterns. For more details, see Koehler et al. (2026) <doi:10.1093/bioinformatics/btag052>.
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 4.2.3)
Imports: ggplot2, Seurat (>= 5.3.0), tibble, ggforce, methods, rARPACK, tidyr, mgcv, scales, Matrix (>= 1.5)
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-03-26 15:46:00 UTC; koehler
Author: David Koehler [aut, cre]
Maintainer: David Koehler <koehler@imbie.uni-bonn.de>
Repository: CRAN
Date/Publication: 2026-03-31 10:00:14 UTC

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New package sicher with initial version 0.1.0
Package: sicher
Title: Runtime Type Checking
Version: 0.1.0
Description: Provides a lightweight runtime type system for 'R' that enables developers to declare and enforce variable types during execution. Inspired by 'TypeScript', the package introduces intuitive syntax for annotating variables and validating data structures, helping catch type-related errors early and making 'R' code more robust and easier to maintain.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/feddelegrand7/sicher
BugReports: https://github.com/feddelegrand7/sicher/issues
Imports: glue (>= 1.8.0)
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-03-26 16:55:40 UTC; mohamedelfodilihaddaden
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 10:00:02 UTC

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New package MFSD with initial version 0.1.0
Package: MFSD
Title: Multivariate Functional Spatial Data
Version: 0.1.0
Description: Analysis of multivariate functional spatial data, including spectral multivariate functional principal component analysis and related statistical procedures (Si-Ahmed, Idris, et al. "Principal component analysis of multivariate spatial functional data." Big Data Research 39 (2025) 100504). (Kuenzer, T., Hörmann, S., & Kokoszka, P. (2021). "Principal component analysis of spatially indexed functions." Journal of the American Statistical Association, 116(535), 1444-1456.) (Happ, C., & Greven, S. (2018). "Multivariate functional principal component analysis for data observed on different (dimensional) domains." Journal of the American Statistical Association, 113(522), 649-659.)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: fda, graphics, mvtnorm, Rcpp (>= 1.0.0)
Suggests: testthat (>= 3.0.0)
Depends: R (>= 2.10)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-03-26 16:39:38 UTC; User
Author: SI-AHMED IDRIS [aut, cre], T. Kuenzer [ctb]
Maintainer: SI-AHMED IDRIS <i_siahmed@esi.dz>
Repository: CRAN
Date/Publication: 2026-03-31 10:00:18 UTC

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Package joinspy updated to version 0.8.0 with previous version 0.7.3 dated 2026-01-23

Title: Diagnostic Tools for Data Frame Joins
Description: Provides diagnostic tools for understanding and debugging data frame joins. Analyzes key columns before joining to detect duplicates, mismatches, encoding issues, and other common problems. Explains unexpected row count changes and provides safe join wrappers with cardinality enforcement. Concepts and diagnostics build on tidy data principles as described in 'Wickham' (2014) <doi:10.18637/jss.v059.i10>.
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between joinspy versions 0.7.3 dated 2026-01-23 and 0.8.0 dated 2026-03-31

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New package discretes with initial version 0.1.0
Package: discretes
Title: Discrete Numeric Series
Version: 0.1.0
Description: Provides a framework for representing discrete numeric series (enumerable sets of numbers) that may be finite or infinite. Series can be traversed, combined using arithmetic operations, tested for membership, and queried for limit points ("sinks"), without explicit enumeration of all elements.
License: MIT + file LICENSE
Imports: checkmate, ellipsis, graphics, rlang
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://discretes.netlify.app, https://github.com/vincenzocoia/discretes
BugReports: https://github.com/vincenzocoia/discretes/issues
NeedsCompilation: no
Packaged: 2026-03-26 21:10:00 UTC; VCoia
Author: Vincenzo Coia [aut, cre, cph]
Maintainer: Vincenzo Coia <vincenzo.coia@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-31 10:00:08 UTC

More information about discretes at CRAN
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Package csdata updated to version 2026.3.30 with previous version 2024.4.26 dated 2024-04-26

Title: Structural Data for Norway
Description: Datasets relating to population in municipalities, municipality/county matching, and how different municipalities have merged/redistricted over time from 2006 to 2024.
Author: Richard Aubrey White [aut, cre] , Chi Zhang [aut]
Maintainer: Richard Aubrey White <hello@rwhite.no>

Diff between csdata versions 2024.4.26 dated 2024-04-26 and 2026.3.30 dated 2026-03-31

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New package CompositionalNAimp with initial version 1.0
Package: CompositionalNAimp
Title: Missing Value Imputation with Compositional Data
Version: 1.0
Date: 2026-03-26
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, graphics, Rfast, Rnanoflann
Suggests: Rfast2
Description: Functions to perform missing value imputation with compositional data using the Jensen-Shannon divergence based k--NN and a--k--NN algorithms. The functions are based on the following paper: Tsagris M., Alenazi A. and Stewart C. (2026). "A Jensen--Shannon divergence based k--NN algorithm for missing value imputation in compositional data". Journal of Applied Statistics (Accepted for publication).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-03-26 15:15:04 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-03-31 09:50:09 UTC

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New package causaldef with initial version 0.2.0
Package: causaldef
Title: Decision-Theoretic Causal Diagnostics via Le Cam Deficiency
Version: 0.2.0
Author: Deniz Akdemir [aut, cre]
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>
Description: Implements Le Cam deficiency theory for causal inference, as described in Akdemir (2026) <doi:10.5281/zenodo.18367347>. Provides theorem-backed bounds together with computable proxy diagnostics for information loss from confounding, selection bias, and distributional shift. Supports continuous, binary, count, survival, and competing risks outcomes. Key features include propensity-score total-variation deficiency proxies, negative control diagnostics, policy regret bounds, and sensitivity analysis via confounding frontiers.
License: MIT + file LICENSE
URL: https://github.com/denizakdemir/causaldef
BugReports: https://github.com/denizakdemir/causaldef/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: checkmate, cli, ggplot2, stats, graphics
Suggests: survival, MatchIt, tmle, SuperLearner, grf, future.apply, glue, shiny, plumber, jsonlite, cmprsk, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-26 13:30:39 UTC; deniz
Repository: CRAN
Date/Publication: 2026-03-31 09:50:02 UTC

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New package BayesVolcano with initial version 1.0.1
Package: BayesVolcano
Title: Creating Volcano Plots from Bayesian Model Posteriors
Version: 1.0.1
URL: https://github.com/KatjaDanielzik/BayesVolcano
BugReports: https://github.com/KatjaDanielzik/BayesVolcano/issues
Description: Bayesian models are used to estimate effect sizes (e.g., gene expression changes, protein abundance differences, drug response effects) while accounting for uncertainty, small sample sizes, and complex experimental designs. However, Bayesian posteriors of models with many parameters are often difficult to interpret at a glance. One way to quickly identify important biological changes based on frequentist analysis are volcano plots (using fold-changes and p-values). Bayesian volcano plots bring together the explicit treatment of uncertainty in Bayesian models and the familiar visualization of volcano plots.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.5)
Imports: ggplot2, HDInterval, purrr, dplyr, magrittr, tidyr
Suggests: brms, rstan, knitr, rmarkdown, testthat (>= 3.0.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-26 14:08:41 UTC; katja
Author: Katja Danielzik [aut, cre, cph] , Simo Kitanovski [aut, ctb] , Daniel Hoffmann [aut]
Maintainer: Katja Danielzik <katja.danielzik@uni-due.de>
Repository: CRAN
Date/Publication: 2026-03-31 09:50:15 UTC

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Package progressr updated to version 0.19.0 with previous version 0.18.0 dated 2025-11-06

Title: An Inclusive, Unifying API for Progress Updates
Description: A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar(), cli::cli_progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beepr::beep(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce API:s like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will als [...truncated...]
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between progressr versions 0.18.0 dated 2025-11-06 and 0.19.0 dated 2026-03-31

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Package BEMPdata updated to version 0.2.3 with previous version 0.2.1 dated 2026-03-09

Title: Access the Bangladesh Environmental Mobility Panel Dataset
Description: Provides functions to download and work with the Bangladesh Environmental Mobility Panel (BEMP), a household panel survey tracing the impacts of riverbank erosion and flooding on (im)mobility, socio-economic outcomes, and political attitudes along the Jamuna River in Bangladesh (2021-2024). Wave datasets (20 files across 14 survey rounds) are hosted on Zenodo (<doi:10.5281/zenodo.18229497>) and downloaded on demand with local caching. Bundled data include a merged cross-wave codebook and wave metadata.
Author: Jan Freihardt [aut, cre]
Maintainer: Jan Freihardt <fjan@ethz.ch>

Diff between BEMPdata versions 0.2.1 dated 2026-03-09 and 0.2.3 dated 2026-03-31

 DESCRIPTION                                                                           |   11 
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 R/data.R                                                                              |    2 
 R/get_codebook.R                                                                      |    6 
 R/get_wave.R                                                                          |    6 
 R/utils.R                                                                             |    4 
 README.md                                                                             |  187 -
 data/codebook.rda                                                                     |binary
 inst/shiny/bemp_explorer/global.R                                                     |  164 +
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 inst/shiny/bemp_explorer/server.R                                                     | 1343 ++++++++--
 inst/shiny/bemp_explorer/ui.R                                                         |  226 +
 man/codebook.Rd                                                                       |    2 
 man/get_codebook.Rd                                                                   |    6 
 man/get_wave.Rd                                                                       |    6 
 tests/testthat/setup.R                                                                |only
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Package hdftsa updated to version 1.1 with previous version 1.0 dated 2025-01-24

Title: High-Dimensional Functional Time Series Analysis
Description: Offers methods for visualising, modelling, and forecasting high-dimensional functional time series, also known as functional panel data. Documentation about 'hdftsa' is initially provided via the paper by Cristian F. Jimenez-Varon, Ying Sun and Han Lin Shang (2024, Journal of Computational and Graphical Statistics).
Author: Han Lin Shang [aut, cre]
Maintainer: Han Lin Shang <hanlin.shang@mq.edu.au>

Diff between hdftsa versions 1.0 dated 2025-01-24 and 1.1 dated 2026-03-31

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Package venn updated to version 1.13 with previous version 1.12 dated 2024-01-08

Title: Draw Venn Diagrams
Description: A close to zero dependency package to draw and display Venn diagrams up to 7 sets, and any Boolean union of set intersections.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between venn versions 1.12 dated 2024-01-08 and 1.13 dated 2026-03-31

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Package ftsa updated to version 6.7 with previous version 6.6 dated 2025-02-22

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob Hyndman [aut] , Han Lin Shang [aut, cre, cph]
Maintainer: Han Lin Shang <hanlin.shang@mq.edu.au>

Diff between ftsa versions 6.6 dated 2025-02-22 and 6.7 dated 2026-03-31

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Package vroom updated to version 1.7.1 with previous version 1.7.0 dated 2026-01-27

Title: Read and Write Rectangular Text Data Quickly
Description: The goal of 'vroom' is to read and write data (like 'csv', 'tsv' and 'fwf') quickly. When reading it uses a quick initial indexing step, then reads the values lazily , so only the data you actually use needs to be read. The writer formats the data in parallel and writes to disk asynchronously from formatting.
Author: Jim Hester [aut] , Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , Shelby Bearrows [ctb], https://github.com/mandreyel/ [cph] , Jukka Jylaenki [cph] , Mikkel Joergensen [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

Diff between vroom versions 1.7.0 dated 2026-01-27 and 1.7.1 dated 2026-03-31

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Package spatstat.linnet updated to version 3.5-0 with previous version 3.4-1 dated 2026-01-31

Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Greg McSwiggan [aut, cph], Tilman Davies [ctb, cph], Mehdi Moradi [ctb, cph], Suman Rakshit [ctb, cph], Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package SimDesign updated to version 2.25 with previous version 2.24 dated 2026-02-24

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] , Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Roenkkoe [aut], Moritz Ketzer [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package rsamplr updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-11

Title: Sampling Algorithms and Spatially Balanced Sampling
Description: Fast tools for unequal probability sampling in multi-dimensional spaces, implemented in Rust for high performance. The package offers a wide range of methods, including Sampford (Sampford, 1967, <doi:10.1093/biomet/54.3-4.499>) and correlated Poisson sampling (Bondesson and Thorburn, 2008, <doi:10.1111/j.1467-9469.2008.00596.x>), pivotal sampling (Deville and Tillé, 1998, <doi:10.1093/biomet/91.4.893>), and balanced sampling such as the cube method (Deville and Tillé, 2004, <doi:10.1093/biomet/91.4.893>) to ensure auxiliary totals are respected. Spatially balanced approaches, including the local pivotal method (Grafström et al., 2012, <doi:10.1111/j.1541-0420.2011.01699.x>), spatially correlated Poisson sampling (Grafström, 2012, <doi:10.1016/j.jspi.2011.07.003>), and locally correlated Poisson sampling (Prentius, 2024, <doi:10.1002/env.2832>), provide efficient designs when the target variable is linked to auxiliary information.
Author: Wilmer Prentius [aut, cre] , Anton Grafstroem [ctb] , Authors of the dependent Rust crates [aut]
Maintainer: Wilmer Prentius <wilmer.prentius@slu.se>

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Package parttree updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-15

Title: Visualize Simple 2-D Decision Tree Partitions
Description: Visualize the partitions of simple decision trees, involving one or two predictors, on the scale of the original data. Provides an intuitive alternative to traditional tree diagrams, by visualizing how a decision tree divides the predictor space in a simple 2D plot alongside the original data. The 'parttree' package supports both classification and regression trees from 'rpart' and 'partykit', as well as trees produced by popular frontend systems like 'tidymodels' and 'mlr3'. Visualization methods are provided for both base R graphics and 'ggplot2'.
Author: Grant McDermott [aut, cre] , Achim Zeileis [ctb] , Brian Heseung Kim [ctb] , Julia Silge [ctb]
Maintainer: Grant McDermott <contact@grantmcdermott.com>

Diff between parttree versions 0.1.2 dated 2026-01-15 and 0.1.3 dated 2026-03-31

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Package huge updated to version 1.5.1 with previous version 1.5 dated 2026-03-11

Title: High-Dimensional Undirected Graph Estimation
Description: Provides a general framework for high-dimensional undirected graph estimation. It integrates data preprocessing, neighborhood screening, graph estimation, and model selection techniques into a pipeline. In preprocessing stage, the nonparanormal(npn) transformation is applied to help relax the normality assumption. In the graph estimation stage, the graph structure is estimated by Meinshausen-Buhlmann graph estimation, the graphical lasso, or the TIGER (tuning-insensitive graph estimation and regression) method, and the first two can be further accelerated by the lossy screening rule preselecting the neighborhood of each variable by correlation thresholding. We target on high-dimensional data analysis usually d >> n, and the computation is memory-optimized using the sparse matrix output. We also provide a computationally efficient approach, correlation thresholding graph estimation. Three regularization/thresholding parameter selection methods are included in this package: (1)stab [...truncated...]
Author: Haoming Jiang [aut], Xinyu Fei [aut], Han Liu [aut], Kathryn Roeder [aut], John Lafferty [aut], Larry Wasserman [aut], Xingguo Li [aut], Tuo Zhao [aut, cre]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

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Package fitVARMxID updated to version 1.0.3 with previous version 1.0.2 dated 2026-02-27

Title: Fit the Vector Autoregressive Model for Multiple Individuals
Description: Fit the vector autoregressive model for multiple individuals using the 'OpenMx' package (Hunter, 2017 <doi:10.1080/10705511.2017.1369354>).
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

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Package guess updated to version 0.3.0 with previous version 0.2.1 dated 2025-12-15

Title: Adjust Estimates of Learning for Guessing
Description: Provides tools to adjust estimates of learning for guessing-related bias in educational and survey research. Implements standard guessing correction methods and a sophisticated latent class model that leverages informative pre-post test transitions to account for guessing behavior. The package helps researchers obtain more accurate estimates of actual learning when respondents may guess on closed-ended knowledge items. For theoretical background and empirical validation, see Cor and Sood (2018) <https://gsood.com/research/papers/guess.pdf>.
Author: Gaurav Sood [aut, cre], Ken Cor [aut]
Maintainer: Gaurav Sood <gsood07@gmail.com>

Diff between guess versions 0.2.1 dated 2025-12-15 and 0.3.0 dated 2026-03-31

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More information about guess at CRAN
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