Thu, 19 Mar 2026

Package SparseTSCGM readmission to version 5.0 with previous version 4.1 dated 2026-01-09

Title: Sparse Time Series Chain Graphical Models
Description: Computes sparse vector autoregressive coefficients and sparse precision matrices for time series chain graphical models. Methods are described in Abegaz and Wit (2013) <doi:10.1093/biostatistics/kxt005>.
Author: Fentaw Abegaz [aut, cre], Ernst Wit [aut]
Maintainer: Fentaw Abegaz <fentawabegaz@yahoo.com>

This is a re-admission after prior archival of version 4.1 dated 2026-01-09

Diff between SparseTSCGM versions 4.1 dated 2026-01-09 and 5.0 dated 2026-03-19

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Package exametrika updated to version 1.10.1 with previous version 1.8.1 dated 2026-02-17

Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

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Package ctsemOMX updated to version 2.0.0 with previous version 1.0.7 dated 2025-08-19

Title: Continuous Time Structural Equation Modelling - Old 'OpenMx'-Based Version
Description: Original 'ctsem' (continuous time structural equation modelling) functionality, based on the 'OpenMx' software, as described in Driver, Oud, Voelkle (2017) <doi:10.18637/jss.v077.i05>, with updated details in vignette. Combines stochastic differential equations representing latent processes with structural equation measurement models. This package is maintained for consistency with the original 'ctsem' paper, but for the much newer and more capable 'ctsem' package, see <https://cran.r-project.org/package=ctsem>.
Author: Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph]
Maintainer: Charles Driver <charles.driver2@uzh.ch>

Diff between ctsemOMX versions 1.0.7 dated 2025-08-19 and 2.0.0 dated 2026-03-19

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Package semboottools updated to version 0.1.2 with previous version 0.1.1 dated 2025-09-17

Title: Bootstrapping Helpers for Structural Equation Modelling
Description: A collection of helper functions for forming bootstrapping confidence intervals and examining bootstrap estimates in structural equation modelling, introduced in Yang and Cheung (2026) <doi: 10.3758/s13428-025-02911-z> The function currently support models fitted by the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02>.
Author: Wendie Yang [aut, cre] , Shu Fai Cheung [aut]
Maintainer: Wendie Yang <1581075494q@gmail.com>

Diff between semboottools versions 0.1.1 dated 2025-09-17 and 0.1.2 dated 2026-03-19

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Package rice updated to version 2.0.1 with previous version 1.6.2 dated 2026-01-22

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). Supporting publication: Blaauw, M., Reimer, P.J., in press. An open-source toolkit for radiocarbon dating and calibration. Radiocarbon. The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre] , Paula Reimer [ctb] , Vegard Martinsen [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package Rdimtools updated to version 1.1.4 with previous version 1.1.3 dated 2025-09-22

Title: Dimension Reduction and Estimation Methods
Description: We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on the package, see the paper by You and Shung (2022) <doi:10.1016/j.simpa.2022.100414>.
Author: Kisung You [aut, cre] , Changhee Suh [ctb], Dennis Shung [ctb]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package Quartet updated to version 1.3.0 with previous version 1.2.7 dated 2024-10-31

Title: Comparison of Phylogenetic Trees Using Quartet and Split Measures
Description: Calculates the number of four-taxon subtrees consistent with a pair of cladograms, calculating the symmetric quartet distance of Bandelt & Dress (1986), Reconstructing the shape of a tree from observed dissimilarity data, Advances in Applied Mathematics, 7, 309-343 <doi:10.1016/0196-8858(86)90038-2>, and using the tqDist algorithm of Sand et al. (2014), tqDist: a library for computing the quartet and triplet distances between binary or general trees, Bioinformatics, 30, 2079–2080 <doi:10.1093/bioinformatics/btu157> for pairs of binary trees.
Author: Martin R. Smith [aut, cre, cph] , Andreas Sand [ant], Gerth Stoelting Brodal [ant], Rolf Fagerberg [ant], Thomas Mailund [ant], Christian N. S. Pedersen [ant] , Jens Johansen [ant], Morten K. Holt [ant]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package NMsim updated to version 0.2.7 with previous version 0.2.6 dated 2025-11-03

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating manual work and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre], Brian Reilly [ctb], Sanaya Shroff [ctb], Boris Grinshpun [ctb]
Maintainer: Philip Delff <philip@delff.dk>

Diff between NMsim versions 0.2.6 dated 2025-11-03 and 0.2.7 dated 2026-03-19

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 NMsim-0.2.7/NMsim/MD5                                                                            |   70 +++-------
 NMsim-0.2.7/NMsim/NAMESPACE                                                                      |    1 
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Package Nematode updated to version 0.2.2 with previous version 0.2.1 dated 2025-09-07

Title: Ecological Indices Calculator for Nematode Communities
Description: Provides a computational toolkit for analyzing nematode communities in ecological studies. Includes methods to quantify nematode-based ecological indicators such as metabolic footprints, energy flow metrics, and community structure. These tools support assessments of soil health, ecosystem functioning, and trophic interactions, standardizing the use of nematodes as bioindicators.
Author: Yuxuan He [aut, cre] , Dong Wang [ths], Yuan Miao [ths]
Maintainer: Yuxuan He <heyuxuan0525@outlook.com>

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Package IRISSeismic updated to version 1.8.0 with previous version 1.7.0 dated 2025-04-25

Title: Classes and Methods for Seismic Data Analysis
Description: Provides classes and methods for seismic data analysis. The base classes and methods are inspired by the python code found in the 'ObsPy' python toolbox <https://github.com/obspy/obspy>. Additional classes and methods support data returned by web services provided by the EarthScope Consortium. <https://service.earthscope.org/>.
Author: Jonathan Callahan [aut], Rob Casey [aut], Gillian Sharer [aut, cre], Mary Templeton [aut], Chad Trabant [ctb]
Maintainer: Gillian Sharer <gillian.sharer@earthscope.org>

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Package gtWAS updated to version 1.1.1 with previous version 1.1.0 dated 2019-06-01

Title: Genome and Transcriptome Wide Association Study
Description: Quantitative trait loci mapping and genome wide association analysis are used to find candidate molecular marker or region associated with phenotype based on linkage analysis and linkage disequilibrium. Gene expression quantitative trait loci mapping is used to find candidate molecular marker or region associated with gene expression. In this package, we applied the method in Liu W. (2011) <doi:10.1007/s00122-011-1631-7> and Gusev A. (2016) <doi:10.1038/ng.3506> to genome and transcriptome wide association study, which is aimed at revealing the association relationship between phenotype and molecular markers, expression levels, molecular markers nested within different related expression effect and expression effect nested within different related molecular marker effect. F test based on full and reduced model are performed to obtain p value or likelihood ratio statistic. The best linear model can be obtained by stepwise regression analysis.
Author: Junhui Li [aut, cre]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

Diff between gtWAS versions 1.1.0 dated 2019-06-01 and 1.1.1 dated 2026-03-19

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Package ggpop updated to version 1.7.1 with previous version 1.7.0 dated 2026-03-17

Title: Icon-Based Population Charts and Plots for 'ggplot2'
Description: Create engaging population and point plots charts in R. 'ggpop' allows users to represent population data and points proportionally using customizable icons, facilitating the creation of circular representative population charts as well as any point-plots.
Author: Jorge A. Roa-Contreras [aut, cre] , Ralitza Soultanova [aut] , Fernando Alarid-Escudero [aut] , Carlos Pineda-Antunez [aut]
Maintainer: Jorge A. Roa-Contreras <jorgeroa@stanford.edu>

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Package fMRIscrub updated to version 0.15.0 with previous version 0.14.5 dated 2023-10-25

Title: Scrubbing and Other Data Cleaning Routines for fMRI
Description: Data-driven fMRI denoising with projection scrubbing (Pham et al (2022) <doi:10.1016/j.neuroimage.2023.119972>). Also includes routines for DVARS (Derivatives VARianceS) (Afyouni and Nichols (2018) <doi:10.1016/j.neuroimage.2017.12.098>), motion scrubbing (Power et al (2012) <doi:10.1016/j.neuroimage.2011.10.018>), aCompCor (anatomical Components Correction) (Muschelli et al (2014) <doi:10.1016/j.neuroimage.2014.03.028>), detrending, and nuisance regression. Projection scrubbing is also applicable to other outlier detection tasks involving high-dimensional data.
Author: Amanda Mejia [aut, cre], John Muschelli [aut] , Damon Pham [aut] , Daniel McDonald [ctb], Fatma Parlak [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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Package EpiModel updated to version 2.6.0 with previous version 2.5.0 dated 2024-10-11

Title: Mathematical Modeling of Infectious Disease Dynamics
Description: Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic individual-contact models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an API for extending these templates to address novel scientific research aims. Full methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

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Package tsne updated to version 0.2-0 with previous version 0.1-3.1 dated 2022-03-28

Title: T-Distributed Stochastic Neighbor Embedding for R (t-SNE)
Description: A "pure R" implementation of the t-SNE algorithm.
Author: Justin Donaldson [aut, cre]
Maintainer: Justin Donaldson <jdonaldson@gmail.com>

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Package sumvar updated to version 0.2.0 with previous version 0.1 dated 2025-06-13

Title: Summarise and Explore Continuous, Categorical and Date Variables
Description: Explore continuous, date and categorical variables with summary statistics, visualisations, and frequency tables. Brings the ease and simplicity of the sum and tab commands from 'Stata' to 'R', including support for two-way cross-tabulations, hypothesis tests, duplicate and missing data exploration, and automated HTML or PDF exploratory reports.
Author: Alexander Stockdale [aut, cre, cph]
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Title: Robust Estimation in Very Small Samples
Description: Implements and enhances the estimation techniques described in Rousseeuw & Verboven (2002) <doi:10.1016/S0167-9473(02)00078-6> for the location and scale of very small samples.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package ordPanel updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-08

Title: Ordered Panel
Description: The ordered panel methodology (Zezulinski et al 2025 <doi:10.1159/000545366>) provides a structured framework for identifying and organizing sets of biomarkers, such as genetic variants, that distinguish between positive and negative subjects in a study when only a training cohort is available. This approach is particularly useful in situations where an independent validation cohort does not yet exist, rendering conventional performance metrics such as the receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) inappropriate or potentially misleading. The methodology emphasizes transparent construction and evaluation of ordered signatures of biomarkers, allowing investigators to examine operating characteristics without establishing predictive performance.
Author: Tingting Zhan [aut, cre] , Aejaz Sayeed [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between ordPanel versions 0.1.0 dated 2026-03-08 and 0.1.1 dated 2026-03-19

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Package ciftiTools updated to version 0.19.0 with previous version 0.18.0 dated 2025-12-20

Title: Tools for Reading, Writing, Viewing and Manipulating CIFTI Files
Description: CIFTI files contain brain imaging data in "grayordinates," which represent the gray matter as cortical surface vertices (left and right) and subcortical voxels (cerebellum, basal ganglia, and other deep gray matter). 'ciftiTools' provides a unified environment for reading, writing, visualizing and manipulating CIFTI-format data. It supports the "dscalar," "dlabel," and "dtseries" intents. Grayordinate data is read in as a "xifti" object, which is structured for convenient access to the data and metadata, and includes support for surface geometry files to enable spatially-dependent functionality such as static or interactive visualizations and smoothing.
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , John Muschelli [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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Package patterncausality updated to version 0.2.4 with previous version 0.2.3 dated 2025-10-01

Title: Pattern Causality Algorithm
Description: A comprehensive package for detecting and analyzing causal relationships in complex systems using pattern-based approaches. Key features include state space reconstruction, pattern identification, and causality strength evaluation.
Author: Stavros Stavroglou [aut, cre] , Athanasios Pantelous [aut] , Hui Wang [aut]
Maintainer: Stavros Stavroglou <stavros.k.stavroglou@gmail.com>

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Package optweight updated to version 2.0.1 with previous version 2.0.0 dated 2026-01-23

Title: Optimization-Based Stable Balancing Weights
Description: Use optimization to estimate weights that balance covariates for binary, multi-category, continuous, and multivariate treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified for each covariate. In addition, sampling weights can be estimated that allow a sample to generalize to a population specified with given target moments of covariates, as in matching-adjusted indirect comparison (MAIC).
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package econetwork (with last version 0.7.0) was removed from CRAN

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2022-10-21 0.7.0

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2023-12-14 1.6.10
2022-10-25 1.6.7
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2017-05-09 1.3.1
2017-03-12 1.2.2
2016-11-23 1.2.0
2016-06-13 1.1.0
2015-11-24 1.0.1

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Package PhageCocktail (with last version 1.0.3) was removed from CRAN

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2022-05-13 1.0.3
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Package likelihood.model updated to version 1.0.0 with previous version 0.9.1 dated 2026-02-11

Title: Likelihood-Based Statistical Inference in the Fisherian Tradition
Description: Facilitates building likelihood models in the Fisherian tradition following Richard Royall (1997, ISBN:978-0412044113) "Statistical Evidence: A Likelihood Paradigm". Defines generic methods for working with likelihoods (loglik(), score(), hess_loglik(), fim()) and provides functions for pure likelihood-based inference (support(), relative_likelihood(), likelihood_interval(), profile_loglik()).
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

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Package flexhaz updated to version 0.5.1 with previous version 0.5.0 dated 2026-03-02

Title: Dynamic Failure Rate Distributions for Survival Analysis
Description: Flexible framework for specifying survival distributions through their hazard (failure rate) functions. Define arbitrary time-varying hazard functions to model complex failure patterns including bathtub curves, proportional hazards with covariates, and other non-standard hazard behaviors. Provides automatic computation of survival, CDF, PDF, quantiles, and sampling. Implements the likelihood model interface for maximum likelihood estimation with right-censored and left-censored survival data.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <queelius@gmail.com>

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Package compositional.mle updated to version 2.0.0 with previous version 1.0.2 dated 2026-02-09

Title: Compositional Maximum Likelihood Estimation
Description: Provides composable optimization strategies for maximum likelihood estimation (MLE). Solvers are first-class functions that combine via sequential chaining, parallel racing, and random restarts. Implements gradient ascent, Newton-Raphson, quasi-Newton (BFGS), and derivative-free methods with support for constrained optimization and tracing. Returns 'mle' objects compatible with 'algebraic.mle' for downstream analysis. Methods based on Nocedal J, Wright SJ (2006) "Numerical Optimization" <doi:10.1007/978-0-387-40065-5>.
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <queelius@gmail.com>

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Package algebraic.mle updated to version 2.0.2 with previous version 0.9.0 dated 2026-01-09

Title: Algebraic Maximum Likelihood Estimators
Description: The maximum likelihood estimator (MLE) is a technology: under regularity conditions, any MLE is asymptotically normal with variance given by the inverse Fisher information. This package exploits that structure by defining an algebra over MLEs. Compose independent estimators into joint MLEs via block-diagonal covariance ('joint'), optimally combine repeated estimates via inverse-variance weighting ('combine'), propagate transformations via the delta method ('rmap'), and bridge to distribution algebra via conversion to normal or multivariate normal objects ('as_dist'). Supports asymptotic ('mle', 'mle_numerical') and bootstrap ('mle_boot') estimators with a unified interface for inference: confidence intervals, standard errors, AIC, Fisher information, and predictive intervals. For background on maximum likelihood estimation, see Casella and Berger (2002, ISBN:978-0534243128). For the delta method and variance estimation, see Lehmann and Casella (1998, ISBN:978-0387985022).
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>

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