Mon, 26 Jan 2026

Package dfms updated to version 1.0.0 with previous version 0.4.0 dated 2026-01-18

Title: Dynamic Factor Models
Description: Efficient estimation of Dynamic Factor Models using the Expectation Maximization (EM) algorithm or Two-Step (2S) estimation, supporting datasets with missing data and mixed-frequency nowcasting applications. Factors follow a stationary VAR process of order p. Estimation options include: running the Kalman Filter and Smoother once with PCA initial values (2S) as in Doz, Giannone and Reichlin (2011) <doi:10.1016/j.jeconom.2011.02.012>; iterated Kalman Filtering and Smoothing until EM convergence as in Doz, Giannone and Reichlin (2012) <doi:10.1162/REST_a_00225>; or the adapted EM algorithm of Banbura and Modugno (2014) <doi:10.1002/jae.2306>, allowing arbitrary missing-data patterns and monthly-quarterly mixed-frequency datasets. The implementation uses the 'Armadillo' 'C++' library and the 'collapse' package for fast estimation. A comprehensive set of methods supports interpretation and visualization, forecasting, and decomposition of the 'news' content of macroeconomi [...truncated...]
Author: Sebastian Krantz [aut, cre], Rytis Bagdziunas [aut], Santtu Tikka [rev], Eli Holmes [rev]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package tesseract updated to version 5.2.5 with previous version 5.2.4 dated 2025-12-29

Title: Open Source OCR Engine
Description: Bindings to 'Tesseract': a powerful optical character recognition (OCR) engine that supports over 100 languages. The engine is highly configurable in order to tune the detection algorithms and obtain the best possible results.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package sumup updated to version 1.0.1 with previous version 1.0.0 dated 2025-10-23

Title: Utilizing Automated Text Analysis to Support Interpretation of Narrative Feedback
Description: Combine topic modeling and sentiment analysis to identify individual students' gaps, and highlight their strengths and weaknesses across predefined competency domains and professional activities.
Author: Joyce Moonen - van Loon [aut, cre]
Maintainer: Joyce Moonen - van Loon <j.moonen@maastrichtuniversity.nl>

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Package rUM updated to version 2.3.0 with previous version 2.2.0 dated 2025-07-23

Title: R Templates from the University of Miami
Description: This holds r markdown and quarto templates for academic papers and slide decks. It also has templates to create research projects which contain academic papers as vignettes.
Author: Raymond Balise [aut, cre] , Gabriel Odom [aut] , Kyle Grealis [aut] , Francisco Cardozo [aut] , Frank Gutierrez [ctb]
Maintainer: Raymond Balise <balise@miami.edu>

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Package rsatscan updated to version 1.0.10 with previous version 1.0.9 dated 2025-04-08

Title: Tools for Running the External 'SaTScan' Software using R Classes and Methods
Description: The 'SaTScan'(TM) <https://www.satscan.org> software uses spatial and space-time scan statistics to detect and evaluate spatial and space-time clusters. With the 'rsatscan' package, you can run the external 'SaTScan' software from within R using R data formats. To successfully select appropriate parameter settings within 'rsatscan', you must first learn 'SaTScan'.
Author: Ken Kleinman [aut], Scott Hostovich [cre], Amer Moosa [ctb]
Maintainer: Scott Hostovich <HostovichS@imsweb.com>

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Package bartXViz updated to version 1.0.11 with previous version 1.0.9 dated 2025-12-21

Title: Visualization of BART and BARP using SHAP
Description: Complex machine learning models are often difficult to interpret. Shapley values serve as a powerful tool to understand and explain why a model makes a particular prediction. This package computes variable contributions using permutation-based Shapley values for Bayesian Additive Regression Trees (BART) and its extension with Post-Stratification (BARP). The permutation-based SHAP method proposed by Strumbel and Kononenko (2014) <doi:10.1007/s10115-013-0679-x> is grounded in data obtained via MCMC sampling. Similar to the BART model introduced by Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>, this package leverages Bayesian posterior samples generated during model estimation, allowing variable contributions to be computed without requiring additional sampling. The BART model is designed to work with the following R packages: 'BART' <doi:10.18637/jss.v097.i01>, 'bartMachine' <doi:10.18637/jss.v070.i04>, and 'dbarts' <https://CRAN.R-project.org/ [...truncated...]
Author: Dong-eun Lee [aut, cre], Eun-Kyung Lee [aut]
Maintainer: Dong-eun Lee <ldongeun.leel@gmail.com>

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Package VennItem updated to version 1.1.0 with previous version 1.0.0 dated 2026-01-19

Title: Generate Venn Diagrams with Items Listed in the Sections
Description: Generate Venn diagrams from two or three sets, displaying the overlapping items as lists in the appropriate sections. The lists can be split into columns or shortened for large sets and the plot is generated using 'ggplot2' allowing further customisations.
Author: Matthew Jackson-Wood [aut, cre]
Maintainer: Matthew Jackson-Wood <mattjackson4@gmail.com>

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Package dawai updated to version 1.2.8 with previous version 1.2.7 dated 2024-10-15

Title: Discriminant Analysis with Additional Information
Description: In applications it is usual that some additional information is available. This package dawai (an acronym for Discriminant Analysis With Additional Information) performs linear and quadratic discriminant analysis with additional information expressed as inequality restrictions among the populations means. It also computes several estimations of the true error rate.
Author: David Conde [aut, cre], Miguel A. Fernandez [aut], Bonifacio Salvador [aut]
Maintainer: David Conde <daconrio@gmail.com>

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Package cogmapr updated to version 0.9.5 with previous version 0.9.3 dated 2022-01-04

Title: Cognitive Mapping Tools Based on Coding of Textual Sources
Description: Functions for building cognitive maps based on qualitative data. Inputs are textual sources (articles, transcription of qualitative interviews of agents,...). These sources have been coded using relations and are linked to (i) a table describing the variables (or concepts) used for the coding and (ii) a table describing the sources (typology of agents, ...). Main outputs are Individual Cognitive Maps (ICM), Social Cognitive Maps (all sources or group of sources) and a list of quotes linked to relations. This package is linked to the work done during the PhD of Frederic M. Vanwindekens (CRA-W / UCL) hold the 13 of May 2014 at University of Louvain in collaboration with the Walloon Agricultural Research Centre (project MIMOSA, MOERMAN fund).
Author: Frederic M. Vanwindekens [aut, cre] , Didier Stilmant [aut, ths], Philippe V. Baret [aut, ths]
Maintainer: Frederic M. Vanwindekens <FrdVnW@proton.me>

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Package CAST updated to version 1.0.4 with previous version 1.0.3 dated 2025-01-09

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; MilĂ  et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>; L [...truncated...]
Author: Hanna Meyer [cre, aut], Carles Mila [aut], Marvin Ludwig [aut], Jan Linnenbrink [aut], Fabian Schumacher [aut], Philipp Otto [ctb], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb], Jakub Nowosad [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

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Package biomod2 updated to version 4.3-4-4 with previous version 4.3-4-3 dated 2025-12-22

Title: Ensemble Platform for Species Distribution Modeling
Description: Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualisation tools are also available within the package.
Author: Maya Gueguen [aut, cre], Helene Blancheteau [aut], Remi Lemaire-Patin [aut], Wilfried Thuiller [aut]
Maintainer: Maya Gueguen <maya.gueguen@univ-grenoble-alpes.fr>

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Package ONAM updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-11

Title: Fitting Interpretable Neural Additive Models Using Orthogonalization
Description: An algorithm for fitting interpretable additive neural networks for identifiable and visualizable feature effects using post hoc orthogonalization. Fit custom neural networks intuitively using established 'R' 'formula' notation, including interaction effects of arbitrary order while preserving identifiability to enable a functional decomposition of the prediction function. For more details see Koehler et al. (2025) <doi:10.1038/s44387-025-00033-7>.
Author: David Koehler [aut, cre]
Maintainer: David Koehler <koehler@imbie.uni-bonn.de>

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Package manureshed updated to version 0.1.1 with previous version 0.1.0 dated 2025-12-22

Title: Spatiotemporal Nutrient Balance Analysis Across Agricultural and Municipal Systems
Description: A comprehensive framework for analyzing agricultural nutrient balances across multiple spatial scales (county, 'HUC8', 'HUC2') with integration of wastewater treatment plant ('WWTP') effluent loads for both nitrogen and phosphorus. Supports classification of spatial units as nutrient sources, sinks, or balanced areas based on agricultural surplus and deficit calculations. Includes visualization tools, spatial transition probability analysis, and nutrient flow network mapping. Built-in datasets include agricultural nutrient balance data from the Nutrient Use Geographic Information System ('NuGIS'; The Fertilizer Institute and Plant Nutrition Canada, 1987-2016) <https://nugis.tfi.org/tabular_data/> and U.S. Environmental Protection Agency ('EPA') wastewater discharge data from the 'ECHO' Discharge Monitoring Report ('DMR') Loading Tool (2007-2016) <https://echo.epa.gov/trends/loading-tool/water-pollution-search>. Data are downloaded on demand from the Open Science Framework ( [...truncated...]
Author: Olatunde D. Akanbi [aut, cre, cph] , Vibha Mandayam [aut] , Atharva Gupta [aut] , K. Colton Flynn [aut] , Jeffrey Yarus [aut] , Erika I. Barcelos [aut, cph] , Roger H. French [aut, cph]
Maintainer: Olatunde D. Akanbi <olatunde.akanbi@case.edu>

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Package injurytools updated to version 2.0.1 with previous version 2.0.0 dated 2025-11-28

Title: A Toolkit for Sports Injury and Illness Data Analysis
Description: Sports Injury Data analysis aims to identify and describe the magnitude of the injury problem, and to gain more insights (e.g. determine potential risk factors) by statistical modelling approaches. The 'injurytools' package provides standardized routines and utilities that simplify such analyses. It offers functions for data preparation, informative visualizations and descriptive and model-based analyses.
Author: Lore Zumeta Olaskoaga [aut, cre] , Dae-Jin Lee [ctb]
Maintainer: Lore Zumeta Olaskoaga <lorezumeta@gmail.com>

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Package geoBayes updated to version 0.7.5 with previous version 0.7.4 dated 2024-10-07

Title: Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods
Description: Functions to fit geostatistical data. The data can be continuous, binary or count data and the models implemented are flexible. Conjugate priors are assumed on some parameters while inference on the other parameters can be done through a full Bayesian analysis of by empirical Bayes methods.
Author: Evangelos Evangelou [aut, cre], Vivekananda Roy [aut]
Maintainer: Evangelos Evangelou <e.evangelou@maths.bath.ac.uk>

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Package enmpa updated to version 0.2.3 with previous version 0.2.2 dated 2025-12-14

Title: Ecological Niche Modeling using Presence-Absence Data
Description: A set of tools to perform Ecological Niche Modeling with presence-absence data. It includes algorithms for data partitioning, model fitting, calibration, evaluation, selection, and prediction. Other functions help to explore signals of ecological niche using univariate and multivariate analyses, and model features such as variable response curves and variable importance. Unique characteristics of this package are the ability to exclude models with concave quadratic responses, and the option to clamp model predictions to specific variables. These tools are implemented following principles proposed in Cobos et al., (2022) <doi:10.17161/bi.v17i.15985>, Cobos et al., (2019) <doi:10.7717/peerj.6281>, and Peterson et al., (2008) <doi:10.1016/j.ecolmodel.2007.11.008>.
Author: Luis F. Arias-Giraldo [aut, cre] , Marlon E. Cobos [aut] , A. Townsend Peterson [ctb]
Maintainer: Luis F. Arias-Giraldo <lfarias.giraldo@gmail.com>

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Package recluster updated to version 3.5 with previous version 3.4 dated 2026-01-25

Title: Ordination Methods for the Analysis of Beta-Diversity Indices
Description: The analysis of different aspects of biodiversity requires specific algorithms. For example, in regionalisation analyses, the high frequency of ties and zero values in dissimilarity matrices produced by Beta-diversity turnover produces hierarchical cluster dendrograms whose topology and bootstrap supports are affected by the order of rows in the original matrix. Moreover, visualisation of biogeographical regionalisation can be facilitated by a combination of hierarchical clustering and multi-dimensional scaling. The recluster package provides robust techniques to visualise and analyse patterns of biodiversity and to improve occurrence data for cryptic taxa.
Author: Leonardo Dapporto [aut, cre], Matteo Ramazzotti [aut], Simone Fattorini [aut], Roger Vila [aut], Gerard Talavera [aut], Roger H.L. Dennis [aut]
Maintainer: Leonardo Dapporto <leondap@gmail.com>

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Package invitroTKstats updated to version 0.0.14 with previous version 0.0.13 dated 2025-08-19

Title: In Vitro Toxicokinetic Data Processing and Analysis Pipeline
Description: A set of tools for processing and analyzing in vitro toxicokinetic measurements in a standardized and reproducible pipeline. The package was developed to perform frequentist and Bayesian estimation on a variety of in vitro toxicokinetic measurements including -- but not limited to -- chemical fraction unbound in the presence of plasma (f_up), intrinsic hepatic clearance (Clint, uL/min/million hepatocytes), and membrane permeability for oral absorption (Caco2). The methods provided by the package were described in Wambaugh et al. (2019) <doi:10.1093/toxsci/kfz205>.
Author: John Wambaugh [aut] , Caroline Ring [cre] , Sarah E. Davidson-Fritz [aut] , Lindsay Knupp [ctb], Barbara A. Wetmore [ctb] , Zhao Zhihui [ctb], Chantel Nicolas [ctb] , Anna Kreutz [ctb] , U.S. Federal Government [cph]
Maintainer: Caroline Ring <ring.caroline@epa.gov>

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Package wdpar updated to version 1.3.9 with previous version 1.3.8 dated 2024-10-07

Title: Interface to the World Database on Protected Areas
Description: Fetch and clean data from the World Database on Protected Areas (WDPA) and the World Database on Other Effective Area-Based Conservation Measures (WDOECM). Data is obtained from Protected Planet <https://www.protectedplanet.net/en>. To augment data cleaning procedures, users can install the 'prepr' R package (available at <https://github.com/prioritizr/prepr>). For more information on this package, see Hanson (2022) <doi:10.21105/joss.04594>.
Author: Jeffrey O Hanson [aut, cre]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

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Package DySS readmission to version 1.0.1 with previous version 1.0 dated 2022-07-16

Title: Dynamic Screening Systems
Description: In practice, we will encounter problems where the longitudinal performance of processes needs to be monitored over time. Dynamic screening systems (DySS) are methods that aim to identify and give signals to processes with poor performance as early as possible. This package is designed to implement dynamic screening systems and the related methods. References: Qiu, P. and Xiang, D. (2014) <doi:10.1080/00401706.2013.822423>; Qiu, P. and Xiang, D. (2015) <doi:10.1002/sim.6477>; Li, J. and Qiu, P. (2016) <doi:10.1080/0740817X.2016.1146423>; Li, J. and Qiu, P. (2017) <doi:10.1002/qre.2160>; You, L. and Qiu, P. (2019) <doi:10.1080/00949655.2018.1552273>; Qiu, P., Xia, Z., and You, L. (2020) <doi:10.1080/00401706.2019.1604434>; You, L., Qiu, A., Huang, B., and Qiu, P. (2020) <doi:10.1002/bimj.201900127>; You, L. and Qiu, P. (2021) <doi:10.1080/00224065.2020.1767006>.
Author: Lu You [aut, cre], Peihua Qiu [aut]
Maintainer: Lu You <Lu.You@epi.usf.edu>

This is a re-admission after prior archival of version 1.0 dated 2022-07-16

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Package DLFM readmission to version 0.2.2 with previous version 0.1.4 dated 2025-12-06

Title: Distributed Laplace Factor Model
Description: Distributed estimation method is based on a Laplace factor model to solve the estimates of load and specific variance. The philosophy of the package is described in Guangbao Guo. (2022). <doi:10.1007/s00180-022-01270-z>.
Author: Guangbao Guo [aut, cre], Siqi Liu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

This is a re-admission after prior archival of version 0.1.4 dated 2025-12-06

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Package cycleTrendR updated to version 0.3.0 with previous version 0.2.0 dated 2026-01-22

Title: Adaptive Cycle and Trend Analysis for Irregular Time Series
Description: Provides adaptive trend estimation, cycle detection, Fourier harmonic selection, bootstrap confidence intervals, change-point detection, and rolling-origin forecasting. Supports LOESS (Locally Estimated Scatterplot Smoothing), GAM (Generalized Additive Model), and GAMM (Generalized Additive Mixed Model), and automatically handles irregular sampling using the Lomb-Scargle periodogram. Methods implemented in this package are described in Cleveland et al. (1990) <doi:10.2307/2289548>, Wood (2017) <doi:10.1201/9781315370279>, and Scargle (1982) <doi:10.1086/160554>.
Author: Pietro Piu [aut, cre]
Maintainer: Pietro Piu <pietro.piu.si@gmail.com>

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Package covfefe updated to version 1.0.0 with previous version 0.1.0 dated 2017-06-06

Title: Political Linguistics Toolkit - Gaffes, Phonetics, and Text Transformation
Description: A comprehensive toolkit for political linguistics featuring a museum of famous digital gaffes, phonetic transformation algorithms (Soundex, consonant shifts), QWERTY keyboard geometry for typo simulation, syllable parsing, word blending (portmanteau creation), and text corruption analysis. Originally inspired by the infamous "covfefe" tweet of 2017.
Author: Michael Kirchner [aut, cre]
Maintainer: Michael Kirchner <michael@kirchner.io>

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Package bunchr updated to version 1.2.1 with previous version 1.2.0 dated 2017-01-30

Title: Analyze Bunching in a Kink or Notch Setting
Description: View and analyze data where bunching is expected. Estimate counter- factual distributions. For earnings data, estimate the compensated elasticity of earnings w.r.t. the net-of-tax rate.
Author: Itai Trilnick [aut, cre]
Maintainer: Itai Trilnick <itai.trilnick@gmail.com>

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Package notebookutils updated to version 1.6.2 with previous version 1.5.3 dated 2024-04-07

Title: Dummy R APIs Used in 'Azure Synapse Analytics' for Local Developments
Description: This is a pure dummy interfaces package which mirrors 'MsSparkUtils' APIs <https://learn.microsoft.com/en-us/azure/synapse-analytics/spark/microsoft-spark-utilities?pivots=programming-language-r> of 'Azure Synapse Analytics' <https://learn.microsoft.com/en-us/azure/synapse-analytics/> for R users, customer of Azure Synapse can download this package from CRAN for local development.
Author: runtimeexp [aut, cre], Microsoft [cph]
Maintainer: runtimeexp <runtimeexpdg@microsoft.com>

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More information about notebookutils at CRAN
Permanent link

Package bslib updated to version 0.10.0 with previous version 0.9.0 dated 2025-01-30

Title: Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown'
Description: Simplifies custom 'CSS' styling of both 'shiny' and 'rmarkdown' via 'Bootstrap' 'Sass'. Supports 'Bootstrap' 3, 4 and 5 as well as their various 'Bootswatch' themes. An interactive widget is also provided for previewing themes in real time.
Author: Carson Sievert [aut, cre] , Joe Cheng [aut], Garrick Aden-Buie [aut] , Posit Software, PBC [cph, fnd], Bootstrap contributors [ctb] , Twitter, Inc [cph] , Javi Aguilar [ctb, cph] , Thomas Park [ctb, cph] , PayPal [ctb, cph]
Maintainer: Carson Sievert <carson@posit.co>

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More information about bslib at CRAN
Permanent link

Package GDILM.SEIRS (with last version 0.0.5) was removed from CRAN

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

2025-11-02 0.0.5
2025-09-30 0.0.4
2025-01-13 0.0.3
2024-12-07 0.0.2
2024-12-05 0.0.1

Permanent link
Package mongolstats updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-18

Title: Mongolian 'NSO' 'PXWeb' Data and Boundaries (Tidy Client)
Description: A 'tidyverse'-friendly client for the National Statistics Office of Mongolia 'PXWeb' API <https://data.1212.mn/> with helpers to discover tables, variables, and fetch statistical data. Also includes utilities to retrieve Mongolia administrative boundaries (ADM0-ADM2) as 'sf' objects from open sources for mapping and spatial analysis.
Author: Temuulen Enebish [aut, cre, cph]
Maintainer: Temuulen Enebish <temuulen@gmail.com>

Diff between mongolstats versions 0.1.0 dated 2026-01-18 and 0.1.1 dated 2026-01-26

 DESCRIPTION                              |   10 
 LICENSE                                  |    2 
 MD5                                      |   58 ++--
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 R/data.R                                 |    9 
 README.md                                |   14 -
 inst/doc/discovery.R                     |  261 -------------------
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 inst/doc/environmental-surveillance.R    |  356 --------------------------
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Package rSPDE updated to version 2.5.2 with previous version 2.5.1 dated 2025-03-21

Title: Rational Approximations of Fractional Stochastic Partial Differential Equations
Description: Functions that compute rational approximations of fractional elliptic stochastic partial differential equations. The package also contains functions for common statistical usage of these approximations. The main references for rSPDE are Bolin, Simas and Xiong (2023) <doi:10.1080/10618600.2023.2231051> for the covariance-based method and Bolin and Kirchner (2020) <doi:10.1080/10618600.2019.1665537> for the operator-based rational approximation. These can be generated by the citation function in R.
Author: David Bolin [cre, aut], Alexandre Simas [aut], Finn Lindgren [ctb]
Maintainer: David Bolin <davidbolin@gmail.com>

Diff between rSPDE versions 2.5.1 dated 2025-03-21 and 2.5.2 dated 2026-01-26

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Package NHPoisson updated to version 3.4 with previous version 3.3 dated 2020-02-19

Title: Modelling and Validation of Non Homogeneous Poisson Processes
Description: Tools for modelling, ML estimation, validation analysis and simulation of non homogeneous Poisson processes in time.
Author: Ana C. Cebrian [aut, cre]
Maintainer: Ana C. Cebrian <acebrian@unizar.es>

Diff between NHPoisson versions 3.3 dated 2020-02-19 and 3.4 dated 2026-01-26

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Package neldermead updated to version 1.0-13 with previous version 1.0-12 dated 2022-02-01

Title: R Port of the 'Scilab' Neldermead Module
Description: Provides several direct search optimization algorithms based on the simplex method. The provided algorithms are direct search algorithms, i.e. algorithms which do not use the derivative of the cost function. They are based on the update of a simplex. The following algorithms are available: the fixed shape simplex method of Spendley, Hext and Himsworth (unconstrained optimization with a fixed shape simplex, 1962) <doi:10.1080/00401706.1962.10490033>, the variable shape simplex method of Nelder and Mead (unconstrained optimization with a variable shape simplex made, 1965) <doi:10.1093/comjnl/7.4.308>, and Box's complex method (constrained optimization with a variable shape simplex, 1965) <doi: 10.1093/comjnl/8.1.42>.
Author: Sebastien Bihorel [aut, cre], Michael Baudin [cph]
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>

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Package insight updated to version 1.4.5 with previous version 1.4.4 dated 2025-12-06

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between insight versions 1.4.4 dated 2025-12-06 and 1.4.5 dated 2026-01-26

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Package ijtiff updated to version 3.2.0 with previous version 3.1.3 dated 2025-04-05

Title: Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Description: General purpose TIFF file I/O for R users. Currently the only such package with read and write support for TIFF files with floating point (real-numbered) pixels, and the only package that can correctly import TIFF files that were saved from 'ImageJ' and write TIFF files than can be correctly read by 'ImageJ' <https://imagej.net/ij/>. Also supports text image I/O.
Author: Rory Nolan [aut, cre] , Kent Johnson [aut], Simon Urbanek [ctb], Sergi Padilla-Parra [ths] , Jeroen Ooms [rev, ctb] , Jon Clayden [rev]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between ijtiff versions 3.1.3 dated 2025-04-05 and 3.2.0 dated 2026-01-26

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