Wed, 21 May 2025

Package tpn updated to version 1.11 with previous version 1.10 dated 2025-04-04

Title: Truncated Positive Normal Model and Extensions
Description: Provide data generation and estimation tools for the truncated positive normal (tpn) model discussed in Gomez, Olmos, Varela and Bolfarine (2018) <doi:10.1007/s11766-018-3354-x>, the slash tpn distribution discussed in Gomez, Gallardo and Santoro (2021) <doi:10.3390/sym13112164>, the bimodal tpn distribution discussed in Gomez et al. (2022) <doi:10.3390/sym14040665>, the flexible tpn model <doi:10.3390/math11214431> and the unit tpn distribution <doi:10.1016/j.chemolab.2025.105322>.
Author: Diego Gallardo [aut, cre], Hector J. Gomez [aut], Yolanda M. Gomez [aut]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>

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Package PhenotypeR updated to version 0.1.5 with previous version 0.1.4 dated 2025-03-28

Title: Assess Study Cohorts Using a Common Data Model
Description: Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Xihang Chen [aut] , Marta Alcalde-Herraiz [aut] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package OptM updated to version 0.1.9 with previous version 0.1.8 dated 2024-06-16

Title: Estimating the Optimal Number of Migration Edges from 'Treemix'
Description: The popular population genetic software 'Treemix' by 'Pickrell and Pritchard' (2012) <DOI:10.1371/journal.pgen.1002967> estimates the number of migration edges on a population tree. However, it can be difficult to determine the number of migration edges to include. Previously, it was customary to stop adding migration edges when 99.8% of variation in the data was explained, but 'OptM' automates this process using an ad hoc statistic based on the second-order rate of change in the log likelihood. 'OptM' also has added functionality for various threshold modeling to compare with the ad hoc statistic.
Author: Robert Fitak [aut, cre]
Maintainer: Robert Fitak <rfitak9@gmail.com>

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Package streamy updated to version 0.2.0 with previous version 0.1.0 dated 2025-02-11

Title: Inline Asynchronous Generator Results into Documents
Description: Given a 'coro' asynchronous generator instance that produces text, write that text into a document selection in 'RStudio' and 'Positron'. This is particularly helpful for streaming large language model responses into the user's editor.
Author: Simon Couch [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

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Package fda updated to version 6.3.0 with previous version 6.2.0 dated 2024-09-17

Title: Functional Data Analysis
Description: These functions were developed to support functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis. New York: Springer and in Ramsay, J. O., Hooker, Giles, and Graves, Spencer (2009). Functional Data Analysis with R and Matlab (Springer). The package includes data sets and script files working many examples including all but one of the 76 figures in this latter book. Matlab versions are available by ftp from <https://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/>.
Author: James Ramsay [aut, cre], Giles Hooker [ctb], Spencer Graves [ctb]
Maintainer: James Ramsay <ramsay@psych.mcgill.ca>

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Package SCBmeanfd updated to version 1.2.3 with previous version 1.2.2 dated 2016-12-27

Title: Simultaneous Confidence Bands for the Mean of Functional Data
Description: Statistical methods for estimating and inferring the mean of functional data. The methods include simultaneous confidence bands, local polynomial fitting, bandwidth selection by plug-in and cross-validation, goodness-of-fit tests for parametric models, equality tests for two-sample problems, and plotting functions.
Author: David Degras [aut, cre]
Maintainer: David Degras <ddegrasv@gmail.com>

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Package qrNLMM updated to version 4.0 with previous version 3.4 dated 2024-07-12

Title: Quantile Regression for Nonlinear Mixed-Effects Models
Description: Quantile regression (QR) for Nonlinear Mixed-Effects Models via the asymmetric Laplace distribution (ALD). It uses the Stochastic Approximation of the EM (SAEM) algorithm for deriving exact maximum likelihood estimates and full inference result is for the fixed-effects and variance components. It also provides prediction and graphical summaries for assessing the algorithm convergence and fitting results.
Author: Christian E. Galarza [aut, cre], Victor H. Lachos [aut]
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>

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Package gsmoothr (with last version 0.1.7) was removed from CRAN

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2014-06-10 0.1.7
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Package SSLR (with last version 0.9.3.3) was removed from CRAN

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Package gpg (with last version 1.3.0) was removed from CRAN

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2019-12-02 1.2.2
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2019-01-04 1.0
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Package RclusTool (with last version 0.91.61) was removed from CRAN

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2025-05-13 0.91.61
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Package NSAE (with last version 0.4.0) was removed from CRAN

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Package TCPMOR (with last version 1.0) was removed from CRAN

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Package SemiPar (with last version 1.0-4.2) was removed from CRAN

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2018-04-16 1.0-4.2
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Package RGS (with last version 1.0) was removed from CRAN

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Package conclust (with last version 1.1) was removed from CRAN

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Package PKbioanalysis updated to version 0.3.0 with previous version 0.2.0 dated 2024-10-02

Title: Pharmacokinetic Bioanalysis Experiments Design and Exploration
Description: Automate pharmacokinetic/pharmacodynamic bioanalytical procedures based on best practices and regulatory recommendations. The package impose regulatory constrains and sanity checking for common bioanalytical procedures. Additionally, 'PKbioanalysis' provides a relational infrastructure for plate management and injection sequence.
Author: Omar Elashkar [aut, cre]
Maintainer: Omar Elashkar <omar.i.elashkar@gmail.com>

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Package officer updated to version 0.6.9 with previous version 0.6.8 dated 2025-03-23

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word', 'RTF' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Stefan Moog [aut], Mark Heckmann [aut] , ArData [cph], Frank Hangler [ctb] , Liz Sander [ctb] , Anton Victorson [ctb] , Jon Calder [ctb] , John Harrold [ctb] , John Muschelli [ctb] , Bill Denney [ctb] , Nikolai Beck [ctb] , Gr [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package automatedtests updated to version 0.1.1 with previous version 0.1.0 dated 2025-05-05

Title: Automating Choosing Statistical Tests
Description: Automatically selects and runs the most appropriate statistical test for your data, returning clear, easy-to-read results. Ideal for all experience levels.
Author: Wouter Zeevat [aut, cre]
Maintainer: Wouter Zeevat <wouterzeevat@gmail.com>

Diff between automatedtests versions 0.1.0 dated 2025-05-05 and 0.1.1 dated 2025-05-21

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Package write.snns (with last version 0.0-4.2) was removed from CRAN

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

2007-04-04 0.0-4.2

Permanent link
New package trajeR with initial version 0.11.1
Package: trajeR
Title: Group Based Modeling Trajectory
Description: Estimation of group-based trajectory models, including finite mixture models for longitudinal data, supporting censored normal, zero-inflated Poisson, logit, and beta distributions, using expectation-maximization and quasi-Newton methods, with tools for model selection, diagnostics, and visualization of latent trajectory groups, <doi:10.4159/9780674041318>, Nagin, D. (2005). Group-Based Modeling of Development. Cambridge, MA: Harvard University Press. and Noel (2022), <https://orbilu.uni.lu/>, thesis.
Version: 0.11.1
Date: 2025-05-18
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.4.6), minpack.lm, numDeriv, ucminf, MASS, capushe, stats
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
URL: https://github.com/gitedric/trajeR
BugReports: https://github.com/gitedric/trajeR/issues
Depends: R (>= 2.10)
Suggests: spelling
Language: en-US
LazyData: true
NeedsCompilation: yes
Packaged: 2025-05-19 19:02:02 UTC; cedric
Author: Cedric Noel [aut, cre], Jang Schiltz [aut]
Maintainer: Cedric Noel <cedric.noel@univ-lorraine.fr>
Repository: CRAN
Date/Publication: 2025-05-21 15:50:02 UTC

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New package QuAnTeTrack with initial version 0.1.0
Package: QuAnTeTrack
Title: Quantitative Analysis of Tetrapod Trackways
Version: 0.1.0
Description: A quantitative and automated tool to extract (palaeo)biological information (i.e., measurements, velocities, similarity metrics, etc.) from the analysis of tetrapod trackways. Methods implemented in the package draw from several sources, including Alexander (1976) <doi:10.1038/261129a0>, Batschelet (1981, ISBN:9780120810505), Benhamou (2004) <doi:10.1016/j.jtbi.2004.03.016>, Bovet and Benhamou (1988) <doi:10.1016/S0022-5193(88)80038-9>, Cheung et al. (2007) <doi:10.1007/s00422-007-0158-0>, Cheung et al. (2008) <doi:10.1007/s00422-008-0251-z>, Cleasby et al. (2019) <doi:10.1007/s00265-019-2761-1>, Farlow et al. (1981) <doi:10.1038/294747a0>, Ostrom (1972) <doi:10.1016/0031-0182(72)90049-1>, Rohlf (2008) <https://sbmorphometrics.org/>, Rohlf (2009) <https://sbmorphometrics.org/>, Ruiz and Torices (2013) <doi:10.1080/10420940.2012.759115>, Scrucca et al. (2016) <doi:10.32614/RJ-2016-021>, Thulborn and Wade (1984) < [...truncated...]
License: CC0
Depends: R (>= 3.5)
Imports: berryFunctions (>= 1.21.14), car, dplyr, dtw, dunn.test, emmeans, geomorph (>= 4.0.3), ggplot2 (>= 3.3.6), ggrepel (>= 0.9.1), gridExtra, magrittr, mclust, NISTunits (>= 1.0.1), schoolmath (>= 0.4.1), shotGroups (>= 0.8.1), SimilarityMeasures (>= 1.4), splancs (>= 2.1.43), stringr (>= 1.4.0), trajr (>= 1.4.0)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rgl, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/MacroFunUV/QuAnTeTrack, https://macrofunuv.github.io/QuAnTeTrack/
BugReports: https://github.com/MacroFunUV/QuAnTeTrack/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-05-19 14:34:15 UTC; qa19267
Author: Humberto G Ferron [aut, cre, cph]
Maintainer: Humberto G Ferron <humberto.ferron@uv.es>
Repository: CRAN
Date/Publication: 2025-05-21 15:40:02 UTC

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New package netcutter with initial version 0.3.1
Package: netcutter
Title: Identification and Analysis of Co-Occurrence Networks
Version: 0.3.1
Maintainer: Federico Marotta <federico.marotta@embl.de>
Description: Implementation of the NetCutter algorithm described in Müller and Mancuso (2008) <doi:10.1371/journal.pone.0003178>. The package identifies co-occurring terms in a list of containers. For example, it may be used to detect genes that co-occur across genomes.
URL: https://doi.org/10.1371/journal.pone.0003178
BugReports: https://github.com/fmarotta/netcutter/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: PoissonBinomial, rlecuyer,
Suggests: knitr, rmarkdown, qpdf, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-05-19 19:51:51 UTC; fmarotta
Author: Heiko Mueller [aut], Francesco Mancuso [aut], Federico Marotta [cre]
Repository: CRAN
Date/Publication: 2025-05-21 15:50:06 UTC

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Package hours2lessons updated to version 0.1.4 with previous version 0.1.3 dated 2025-04-23

Title: Alocă Pe Ore Lecțiile Zilei
Description: Lecțiile prof/cls trebuie completate cu un câmp "ora", astfel ca oricare două lecții prof/cls/ora să nu se suprapună într-o aceeași oră. The prof/cls lessons must be completed with a "hour" field ('ora), so that any two prof/cls/ora lessons do not overlap in the same hour. <https://vlad.bazon.net/>.
Author: Vlad Bazon [aut, cre]
Maintainer: Vlad Bazon <vlad.bazon@gmail.com>

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Package gimme updated to version 0.8.1 with previous version 0.8 dated 2025-04-29

Title: Group Iterative Multiple Model Estimation
Description: Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.
Author: Stephanie Lane [aut, trl], Kathleen M Gates [aut, cre, ccp], Zachary Fisher [aut], Cara Arizmendi [aut], Peter Molenaar [aut, ccp], Edgar Merkle [ctb], Michael Hallquist [ctb], Hallie Pike [ctb], Teague Henry [ctb], Kelly Duffy [ctb], Lan Luo [ctb], [...truncated...]
Maintainer: Kathleen M Gates <gateskm@email.unc.edu>

Diff between gimme versions 0.8 dated 2025-04-29 and 0.8.1 dated 2025-05-21

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Package eatGADS updated to version 1.2.0 with previous version 1.1.1 dated 2024-10-09

Title: Data Management of Large Hierarchical Data
Description: Import 'SPSS' data, handle and change 'SPSS' meta data, store and access large hierarchical data in 'SQLite' data bases.
Author: Benjamin Becker [aut, cre], Karoline Sachse [ctb], Johanna Busse [ctb]
Maintainer: Benjamin Becker <b.becker@iqb.hu-berlin.de>

Diff between eatGADS versions 1.1.1 dated 2024-10-09 and 1.2.0 dated 2025-05-21

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Package Spower updated to version 0.2.3 with previous version 0.2.2 dated 2025-03-25

Title: Power Analyses using Monte Carlo Simulations
Description: Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation variants of (expected) prospective power analyses, criterion analyses, compromise analyses, sensitivity analyses, and a priori analyses. The default simulation experiment functions found within the package provide stochastic variants of the power analyses subroutines found in the G*Power 3.1 software (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other parametric and non-parametric power analysis examples (e.g., mediation analyses). Supporting functions are also included, such as for building empirical power curve estimates, which utilize a similar API structure.
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package RcppArmadillo updated to version 14.4.3-1 with previous version 14.4.2-1 dated 2025-04-25

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package gsDesign updated to version 3.6.8 with previous version 3.6.7 dated 2025-03-03

Title: Group Sequential Design
Description: Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Author: Keaven Anderson [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>

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Package descriptio updated to version 1.4 with previous version 1.3 dated 2024-03-07

Title: Descriptive Statistical Analysis
Description: Description of statistical associations between variables : measures of local and global association between variables (phi, Cramér V, correlations, eta-squared, Goodman and Kruskal tau, permutation tests, etc.), multiple graphical representations of the associations between variables (using 'ggplot2') and weighted statistics.
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

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Package acss updated to version 0.3-2 with previous version 0.2-5 dated 2014-11-25

Title: Algorithmic Complexity for Short Strings
Description: Main functionality is to provide the algorithmic complexity for short strings, an approximation of the Kolmogorov Complexity of a short string using the coding theorem method (see ?acss). The database containing the complexity is provided in the data only package acss.data, this package provides functions accessing the data such as prob_random returning the posterior probability that a given string was produced by a random process. In addition, two traditional (but problematic) measures of complexity are also provided: entropy and change complexity.
Author: Nicolas Gauvrit [aut], Henrik Singmann [aut, cre], Fernando Soler Toscano [ctb], Hector Zenil [ctb]
Maintainer: Henrik Singmann <singmann+acss@gmail.com>

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Package RAINBOWR updated to version 0.1.38 with previous version 0.1.35 dated 2024-03-03

Title: Genome-Wide Association Study with SNP-Set Methods
Description: By using 'RAINBOWR' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. This package can also be applied to haplotype-based GWAS (Genome-Wide Association Study). Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our paper on PLOS Computational Biology: Kosuke Hamazaki and Hiroyoshi Iwata (2020) <doi:10.1371/journal.pcbi.1007663>.
Author: Kosuke Hamazaki [aut, cre], Hiroyoshi Iwata [aut, ctb]
Maintainer: Kosuke Hamazaki <hamazaki@ut-biomet.org>

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Package probably updated to version 1.1.0 with previous version 1.0.3 dated 2024-02-22

Title: Tools for Post-Processing Predicted Values
Description: Models can be improved by post-processing class probabilities, by: recalibration, conversion to hard probabilities, assessment of equivocal zones, and other activities. 'probably' contains tools for conducting these operations as well as calibration tools and conformal inference techniques for regression models.
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package OPCreg updated to version 1.0.0 with previous version 0.3.0 dated 2025-05-08

Title: Online Principal Component Regression for Online Datasets
Description: The online principal component regression method can process the online data set. 'OPCreg' implements the online principal component regression method, which is specifically designed to process online datasets efficiently. This method is particularly useful for handling large-scale, streaming data where traditional batch processing methods may be computationally infeasible.The philosophy of the package is described in 'Guo' (2025) <doi:10.1016/j.physa.2024.130308>.
Author: Guangbao Guo [aut, cre] , Chunjie Wei [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package visOmopResults updated to version 1.1.0 with previous version 1.0.2 dated 2025-03-06

Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Marti Catala [aut] , Nuria Mercade-Besora [aut, cre] , Yuchen Guo [ctb] , Elin Rowlands [ctb] , Marta Alcalde-Herraiz [ctb] , Edward Burn [ctb]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>

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More information about visOmopResults at CRAN
Permanent link

Package spatstat.explore updated to version 3.4-3 with previous version 3.4-2 dated 2025-03-21

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) 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 correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Ya-Mei Chang [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.explore versions 3.4-2 dated 2025-03-21 and 3.4-3 dated 2025-05-21

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More information about spatstat.explore at CRAN
Permanent link

Package recipes updated to version 1.3.1 with previous version 1.3.0 dated 2025-04-17

Title: Preprocessing and Feature Engineering Steps for Modeling
Description: A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between recipes versions 1.3.0 dated 2025-04-17 and 1.3.1 dated 2025-05-21

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Package OneSampleMR updated to version 0.1.6 with previous version 0.1.5 dated 2024-06-26

Title: One Sample Mendelian Randomization and Instrumental Variable Analyses
Description: Useful functions for one-sample (individual level data) Mendelian randomization and instrumental variable analyses. The package includes implementations of; the Sanderson and Windmeijer (2016) <doi:10.1016/j.jeconom.2015.06.004> conditional F-statistic, the multiplicative structural mean model Hernán and Robins (2006) <doi:10.1097/01.ede.0000222409.00878.37>, and two-stage predictor substitution and two-stage residual inclusion estimators explained by Terza et al. (2008) <doi:10.1016/j.jhealeco.2007.09.009>.
Author: Tom Palmer [aut, cre] , Wes Spiller [aut] , Eleanor Sanderson [aut]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

Diff between OneSampleMR versions 0.1.5 dated 2024-06-26 and 0.1.6 dated 2025-05-21

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Package flextable updated to version 0.9.8 with previous version 0.9.7 dated 2024-10-27

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' and R 'Grid Graphics'. '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>

Diff between flextable versions 0.9.7 dated 2024-10-27 and 0.9.8 dated 2025-05-21

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Package StratPal updated to version 0.5.0 with previous version 0.4.0 dated 2025-03-27

Title: Stratigraphic Paleobiology Modeling Pipelines
Description: The fossil record is a joint expression of ecological, taphonomic, evolutionary, and stratigraphic processes (Holland and Patzkowsky, 2012, ISBN:978-0226649382). This package allowing to simulate biological processes in the time domain (e.g., trait evolution, fossil abundance, phylogenetic trees), and examine how their expression in the rock record (stratigraphic domain) is influenced based on age-depth models, ecological niche models, and taphonomic effects. Functions simulating common processes used in modeling trait evolution or event type data such as first/last occurrences are provided and can be used standalone or as part of a pipeline. The package comes with example data sets and tutorials in several vignettes, which can be used as a template to set up one's own simulation.
Author: Niklas Hohmann [aut, cre]
Maintainer: Niklas Hohmann <N.H.Hohmann@uu.nl>

Diff between StratPal versions 0.4.0 dated 2025-03-27 and 0.5.0 dated 2025-05-21

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New package persistence with initial version 0.1.0
Package: persistence
Title: Optimal Graph Partition using the Persistence
Version: 0.1.0
Description: Calculate the optimal vertex partition of a graph using the persistence as objective function. These subroutines have been used in Avellone et al. <doi:10.1007/s10288-023-00559-z>.
License: GPL (>= 2)
Encoding: UTF-8
SystemRequirements: C++20
Suggests: igraph
NeedsCompilation: yes
Packaged: 2025-05-17 08:08:47 UTC; ale
Author: Alessandro Avellone [aut, cre], Paolo Bartesaghi [aut], Stefano Benati [aut], Rosanna Grassi [aut]
Maintainer: Alessandro Avellone <alessandro.avellone@unimib.it>
Repository: CRAN
Date/Publication: 2025-05-21 08:30:02 UTC

More information about persistence at CRAN
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New package geohabnet with initial version 2.2
Package: geohabnet
Title: Geographical Risk Analysis Based on Habitat Connectivity
Version: 2.2
Date: 2025-05-14
Description: The 'geohabnet' package is designed to perform a geographically or spatially explicit risk analysis of habitat connectivity. Xing et al (2021) <doi:10.1093/biosci/biaa067> proposed the concept of cropland connectivity as a risk factor for plant pathogen or pest invasions. As the functions in 'geohabnet' were initially developed thinking on cropland connectivity, users are recommended to first be familiar with the concept by looking at the Xing et al paper. In a nutshell, a habitat connectivity analysis combines information from maps of host density, estimates the relative likelihood of pathogen movement between habitat locations in the area of interest, and applies network analysis to calculate the connectivity of habitat locations. The functions of 'geohabnet' are built to conduct a habitat connectivity analysis relying on geographic parameters (spatial resolution and spatial extent), dispersal parameters (in two commonly used dispersal kernels: inverse power law and negative ex [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: config (>= 0.3.1), geosphere (>= 1.5.18), igraph (>= 2.0.3), terra (>= 1.7.29), yaml (>= 2.3.7), stats, stringr (>= 1.5.0), memoise (>= 2.0.1), graphics, viridisLite (>= 0.4.2), beepr (>= 1.3), rnaturalearth (>= 0.3.3), tools, methods, future.apply (>= 1.11.0), future (>= 1.33.0), magrittr (>= 2.0.3), ggplot2 (>= 3.5.1), patchwork (>= 1.2.0)
Suggests: devtools, knitr, lintr (>= 3.0.2), mockthat, pkgdown, rmarkdown, testthat (>= 3.1.7)
URL: https://garrettlab.github.io/HabitatConnectivity/, https://CRAN.R-project.org/package=geohabnet/, https://github.com/GarrettLab/HabitatConnectivity/tree/main/geohabnet/, https://www.garrettlab.com/
BugReports: https://github.com/GarrettLab/HabitatConnectivity/issues
NeedsCompilation: no
Packaged: 2025-05-18 23:48:49 UTC; kkeshav
Author: Krishna Keshav [aut, cre], Aaron Plex [aut] , Garrett Lab [ctb] , Karen Garrett [aut] , University of Florida [cph, fnd]
Maintainer: Krishna Keshav <krishnakeshav.pes@gmail.com>
Repository: CRAN
Date/Publication: 2025-05-21 09:00:02 UTC

More information about geohabnet at CRAN
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New package doblin with initial version 0.1.1
Package: doblin
Title: 'doblin': Inferring Dominant Clonal Lineages from DNA Barcoding Time-Series
Version: 0.1.1
Author: Adrian Serohijos [aut, cre], David Gagne-Leroux [ctb], Melis Gencel [ctb], Louis Gauthier [ctb]
Maintainer: Adrian Serohijos <adrian.serohijos@umontreal.ca>
Description: Provides functions to quantify dominant clonal lineages from DNA barcoding time-series data. The package implements clustering of barcode lineage trajectories, based on the assumption that similar temporal dynamics indicate comparable relative fitness. It also identifies persistent clonal lineages across time points. Input data can include lineage frequency tables derived from chromosomal barcoding, mutational libraries, or CRISPR/Cas screens. For more details, see Gagné-Leroux et al. (2024) <doi:10.1101/2024.09.08.611892>.
Imports: entropy, gplots, lazyeval, proxy, grid, ggthemes, ggplot2, magrittr, dplyr, ggnewscale, readr, data.table, reshape2, grDevices, stats, imputeTS, dtwclust, purrr, tidyr, TSdist, graphics
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), devtools, ggpubr, optparse, pryr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-05-17 18:52:39 UTC; davga
Repository: CRAN
Date/Publication: 2025-05-21 08:50:02 UTC

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New package ChauBoxplot with initial version 1.0.0
Package: ChauBoxplot
Title: Chauvenet-Type Boxplot
Version: 1.0.0
Description: Provides a modified boxplot with a new fence coefficient determined by Lin et al. (2025). The traditional fence coefficient k=1.5 in Tukey's boxplot is replaced by a coefficient based on Chauvenet's criterion, as described in their formula (9). The new boxplot can be implemented in 'base R' with function chau_boxplot(), and in 'ggplot2' with function geom_chau_boxplot().
Maintainer: Tiejun Tong <tongt@hkbu.edu.hk>
URL: https://tiejuntong.github.io/ChauBoxplot/
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, stats
Depends: R (>= 4.0.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-05-17 10:08:53 UTC; TONGT
Author: Hongmei Lin [aut], Riquan Zhang [aut], Tiejun Tong [aut, cre]
Repository: CRAN
Date/Publication: 2025-05-21 08:40:06 UTC

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Package bayesSSM updated to version 0.5.0 with previous version 0.4.7 dated 2025-04-23

Title: Bayesian Methods for State Space Models
Description: Implements methods for Bayesian analysis of State Space Models. Includes implementations of the Particle Marginal Metropolis-Hastings algorithm described in Andrieu et al. (2010) <doi:10.1111/j.1467-9868.2009.00736.x> and automatic tuning inspired by Pitt et al. (2012) <doi:10.1016/j.jeconom.2012.06.004> and J. Dahlin and T. B. Schön (2019) <doi:10.18637/jss.v088.c02>.
Author: Bjarke Hautop [aut, cre, cph]
Maintainer: Bjarke Hautop <bjarke.hautop@gmail.com>

Diff between bayesSSM versions 0.4.7 dated 2025-04-23 and 0.5.0 dated 2025-05-21

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More information about bayesSSM at CRAN
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