Thu, 17 Oct 2024

Package viraldomain updated to version 0.0.6 with previous version 0.0.5 dated 2024-08-17

Title: Applicability Domain Methods of Viral Load and CD4 Lymphocytes
Description: Provides methods for assessing the applicability domain of models that predict viral load and CD4 (Cluster of Differentiation 4) lymphocyte counts. These methods help determine the extent of extrapolation when making predictions.
Author: Juan Pablo Acuna Gonzalez [aut, cre]
Maintainer: Juan Pablo Acuna Gonzalez <acua6307@gmail.com>

Diff between viraldomain versions 0.0.5 dated 2024-08-17 and 0.0.6 dated 2024-10-17

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Package rngWELL updated to version 0.10-10 with previous version 0.10-9 dated 2023-01-16

Title: Toolbox for WELL Random Number Generators
Description: It is a dedicated package to WELL pseudo random generators, which were introduced in Panneton et al. (2006), ``Improved Long-Period Generators Based on Linear Recurrences Modulo 2'', see <doi:10.1145/1132973.1132974>. But this package is not intended to be used directly, you are strongly __encouraged__ to use the 'randtoolbox' package, which depends on this package.
Author: Christophe Dutang [aut, cre] , Petr Savicky [aut], F. Panneton [ctb] , P. L'Ecuyer [ctb] , M. Matsumoto [ctb]
Maintainer: Christophe Dutang <dutangc@gmail.com>

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Package mbbefd updated to version 0.8.12 with previous version 0.8.11 dated 2023-08-28

Title: Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling
Description: Distributions that are typically used for exposure rating in general insurance, in particular to price reinsurance contracts. The vignette shows code snippets to fit the distribution to empirical data. See, e.g., Bernegger (1997) <doi:10.2143/AST.27.1.563208> freely available on-line.
Author: Christophe Dutang [aut, cre] , Giorgio Spedicato [aut] , Markus Gesmann [ctb]
Maintainer: Christophe Dutang <dutangc@gmail.com>

Diff between mbbefd versions 0.8.11 dated 2023-08-28 and 0.8.12 dated 2024-10-17

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Package leidenAlg updated to version 1.1.4 with previous version 1.1.3 dated 2024-02-27

Title: Implements the Leiden Algorithm via an R Interface
Description: An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: <https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) <doi:10.1038/s41598-019-41695-z>.
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], Yichen Wang [aut], V.A. Traag [ctb], Gabor Csardi [ctb], Tamas Nepusz [ctb], Minh Van Nguyen [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

Diff between leidenAlg versions 1.1.3 dated 2024-02-27 and 1.1.4 dated 2024-10-17

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Package gRain updated to version 1.4.5 with previous version 1.4.4 dated 2024-10-10

Title: Bayesian Networks
Description: Probability propagation in Bayesian networks, also known as graphical independence networks. Documentation of the package is provided in vignettes included in the package and in the paper by Højsgaard (2012, <doi:10.18637/jss.v046.i10>). See 'citation("gRain")' for details.
Author: Soeren Hoejsgaard [aut, cre]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package tidycensus updated to version 1.6.7 with previous version 1.6.6 dated 2024-09-20

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tidycensus versions 1.6.6 dated 2024-09-20 and 1.6.7 dated 2024-10-17

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Package CopulaREMADA updated to version 1.7.3 with previous version 1.6.2 dated 2024-04-08

Title: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies
Description: The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595> and Nikoloulopoulos (2018) <doi:10.1007/s10182-017-0299-y>. The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) <doi:10.1177/0962280215596769> and also accounting for non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1515/ijb-2019-0107>. The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) <doi:10.1177/0962280216682376>. The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2019) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1177/0962280220913 [...truncated...]
Author: Aristidis K. Nikoloulopoulos [aut, cre]
Maintainer: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>

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Package vtable updated to version 1.4.7 with previous version 1.4.6 dated 2023-10-26

Title: Variable Table for Variable Documentation
Description: Automatically generates HTML variable documentation including variable names, labels, classes, value labels (if applicable), value ranges, and summary statistics. See the vignette "vtable" for a package overview.
Author: Nick Huntington-Klein [aut, cre]
Maintainer: Nick Huntington-Klein <nhuntington-klein@seattleu.edu>

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Package openxlsx2 updated to version 1.10 with previous version 1.9 dated 2024-09-08

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

Diff between openxlsx2 versions 1.9 dated 2024-09-08 and 1.10 dated 2024-10-17

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Package highlightr updated to version 1.0.2 with previous version 1.0.0 dated 2024-07-31

Title: Highlight Conserved Edits Across Versions of a Document
Description: Input multiple versions of a source document, and receive HTML code for a highlighted version of the source document indicating the frequency of occurrence of phrases in the different versions. This method is described in Chapter 3 of Rogers (2024) <https://digitalcommons.unl.edu/dissertations/AAI31240449/>.
Author: Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Rachel Rogers [aut, cre] , Susan VanderPlas [aut]
Maintainer: Rachel Rogers <rrogers.rpackages@gmail.com>

Diff between highlightr versions 1.0.0 dated 2024-07-31 and 1.0.2 dated 2024-10-17

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New package TensorTools with initial version 1.0.0
Package: TensorTools
Title: Multilinear Algebra
Version: 1.0.0
Maintainer: Kyle Caudle <kyle.caudle@sdsmt.edu>
Description: A set of tools for basic tensor operators. A tensor in the context of data analysis in a multidimensional array. The tools in this package rely on using any discrete transformation (e.g. Fast Fourier Transform (FFT)). Standard tools included are the Eigenvalue decomposition of a tensor, the QR decomposition and LU decomposition. Other functionality includes the inverse of a tensor and the transpose of a symmetric tensor. Functionality in the package is outlined in Kernfeld, E., Kilmer, M., and Aeron, S. (2015) <doi:10.1016/j.laa.2015.07.021>.
Imports: methods,raster,png, wavethresh, gsignal, Matrix, matrixcalc
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-16 17:30:10 UTC; kcaudle
Author: Kyle Caudle [aut, cre], Randy Hoover [ctb], Jackson Cates [ctb], Evertt Sandbo [ctb]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-10-17 17:10:05 UTC

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New package RESIDE with initial version 0.3.2
Package: RESIDE
Title: Rapid Easy Synthesis to Inform Data Extraction
Version: 0.3.2
Description: Developed to assist researchers with planning analysis, prior to obtaining data from Trusted Research Environments (TREs) also known as safe havens. With functionality to export and import marginal distributions as well as synthesise data, both with and without correlations from these marginal distributions. Using a multivariate cumulative distribution (COPULA). Additionally the International Stroke Trial (IST) is included as an example dataset under ODC-By licence Sandercock et al. (2011) <doi:10.7488/ds/104>, Sandercock et al. (2011) <doi:10.1186/1745-6215-12-101>.
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: testthat (>= 3.0.0), lifecycle, knitr, rmarkdown, DT
Depends: R (>= 2.10)
Imports: dplyr, magrittr, bestNormalize, RDP, methods, tibble, simstudy, matrixcalc
LazyData: true
URL: https://hehta.github.io/RESIDE/
NeedsCompilation: no
Packaged: 2024-10-16 22:11:11 UTC; ryan
Author: Ryan Field [aut, cre] , David McAllister [aut] , Claudia Geue [ctb]
Maintainer: Ryan Field <ryan.field@glasgow.ac.uk>
Repository: CRAN
Date/Publication: 2024-10-17 17:10:09 UTC

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Package meteoland updated to version 2.2.2 with previous version 2.2.1 dated 2023-11-29

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Caceres [aut, cre] , Victor Granda [aut] , Nicolas Martin [aut] , Antoine Cabon [aut]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

Diff between meteoland versions 2.2.1 dated 2023-11-29 and 2.2.2 dated 2024-10-17

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New package ezECM with initial version 1.0.0
Package: ezECM
Title: Event Categorization Matrix Classification for Nuclear Detonations
Version: 1.0.0
Description: Implementation of an Event Categorization Matrix (ECM) detonation detection model and a Bayesian variant. Functions are provided for importing and exporting data, fitting models, and applying decision criteria for categorizing new events. This package implements methods described in the paper "Bayesian Event Categorization Matrix Approach for Nuclear Detonations" Koermer, Carmichael, and Williams (2024) available on arXiv at <doi:10.48550/arXiv.2409.18227>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, kableExtra, testthat (>= 3.0.0), LaplacesDemon
Imports: ellipse, graphics, grDevices, klaR, lhs, MCMCpack, Rdpack, stats, utils, mvnfast
VignetteBuilder: knitr
URL: https://github.com/lanl/ezECM
BugReports: https://github.com/lanl/ezECM/issues
NeedsCompilation: no
Packaged: 2024-10-16 21:50:21 UTC; skoermer
Author: Scott Koermer [aut, cre, cph]
Maintainer: Scott Koermer <skoermer@lanl.gov>
Repository: CRAN
Date/Publication: 2024-10-17 17:10:01 UTC

More information about ezECM at CRAN
Permanent link

Package RobStatTM updated to version 1.0.11 with previous version 1.0.8 dated 2023-11-27

Title: Robust Statistics: Theory and Methods
Description: Companion package for the book: "Robust Statistics: Theory and Methods, second edition", <http://www.wiley.com/go/maronna/robust>. This package contains code that implements the robust estimators discussed in the recent second edition of the book above, as well as the scripts reproducing all the examples in the book.
Author: Matias Salibian-Barrera [cre], Victor Yohai [aut], Ricardo Maronna [aut], Doug Martin [aut], Gregory Brownson [aut] , Kjell Konis [aut], Kjell Konis [cph] , Christophe Croux [ctb] , Gentiane Haesbroeck [ctb] , Martin Maechler [cph] , Manuel Koller [c [...truncated...]
Maintainer: Matias Salibian-Barrera <matias@stat.ubc.ca>

Diff between RobStatTM versions 1.0.8 dated 2023-11-27 and 1.0.11 dated 2024-10-17

 RobStatTM-1.0.11/RobStatTM/.Rinstignore                                            |    2 
 RobStatTM-1.0.11/RobStatTM/DESCRIPTION                                             |   10 
 RobStatTM-1.0.11/RobStatTM/MD5                                                     |  268 
 RobStatTM-1.0.11/RobStatTM/NAMESPACE                                               |  124 
 RobStatTM-1.0.11/RobStatTM/NEWS.md                                                 |  173 
 RobStatTM-1.0.11/RobStatTM/R/BYlogreg.R                                            |  632 -
 RobStatTM-1.0.11/RobStatTM/R/DCML.R                                                |  789 -
 RobStatTM-1.0.11/RobStatTM/R/INVTR2.R                                              |  144 
 RobStatTM-1.0.11/RobStatTM/R/KurtSDNew.R                                           | 1608 +--
 RobStatTM-1.0.11/RobStatTM/R/MLocDis.R                                             |  308 
 RobStatTM-1.0.11/RobStatTM/R/Multirobu.R                                           | 1736 +--
 RobStatTM-1.0.11/RobStatTM/R/RFPE.R                                                |  786 -
 RobStatTM-1.0.11/RobStatTM/R/RobPCA_SM.R                                           |  176 
 RobStatTM-1.0.11/RobStatTM/R/WBYlogreg.R                                           |  646 -
 RobStatTM-1.0.11/RobStatTM/R/WMLlogreg.R                                           |  218 
 RobStatTM-1.0.11/RobStatTM/R/alcohol.R                                             |   58 
 RobStatTM-1.0.11/RobStatTM/R/algae.R                                               |   58 
 RobStatTM-1.0.11/RobStatTM/R/biochem.R                                             |   34 
 RobStatTM-1.0.11/RobStatTM/R/breslow.dat.R                                         |   88 
 RobStatTM-1.0.11/RobStatTM/R/bus.R                                                 |   82 
 RobStatTM-1.0.11/RobStatTM/R/fastmve.R                                             |  108 
 RobStatTM-1.0.11/RobStatTM/R/flour.R                                               |   40 
 RobStatTM-1.0.11/RobStatTM/R/glass.R                                               |   58 
 RobStatTM-1.0.11/RobStatTM/R/hearing.R                                             |   72 
 RobStatTM-1.0.11/RobStatTM/R/image.R                                               |   38 
 RobStatTM-1.0.11/RobStatTM/R/leuk.dat.R                                            |   52 
 RobStatTM-1.0.11/RobStatTM/R/lmrob.MM.R                                            | 2795 +++---
 RobStatTM-1.0.11/RobStatTM/R/lmrob.lar.R                                           |  194 
 RobStatTM-1.0.11/RobStatTM/R/lmrobdet.R                                            | 2992 +++---
 RobStatTM-1.0.11/RobStatTM/R/mineral.R                                             |   42 
 RobStatTM-1.0.11/RobStatTM/R/neuralgia.R                                           |   32 
 RobStatTM-1.0.11/RobStatTM/R/oats.R                                                |   38 
 RobStatTM-1.0.11/RobStatTM/R/prcompRob.R                                           |  206 
 RobStatTM-1.0.11/RobStatTM/R/psiFunUtils.R                                         |  726 -
 RobStatTM-1.0.11/RobStatTM/R/psiFuns.R                                             |  612 -
 RobStatTM-1.0.11/RobStatTM/R/resex.R                                               |   42 
 RobStatTM-1.0.11/RobStatTM/R/shock.R                                               |   46 
 RobStatTM-1.0.11/RobStatTM/R/skin.R                                                |   44 
 RobStatTM-1.0.11/RobStatTM/R/stackloss.R                                           |   50 
 RobStatTM-1.0.11/RobStatTM/R/utils.R                                               |   60 
 RobStatTM-1.0.11/RobStatTM/R/vehicle.R                                             |   78 
 RobStatTM-1.0.11/RobStatTM/R/waste.R                                               |   64 
 RobStatTM-1.0.11/RobStatTM/R/wine.R                                                |   66 
 RobStatTM-1.0.11/RobStatTM/build/vignette.rds                                      |binary
 RobStatTM-1.0.11/RobStatTM/inst/doc/OptimalBiasRobustRegressionPsiandRho.pdf.asis  |    6 
 RobStatTM-1.0.11/RobStatTM/inst/doc/PolynomialOptandmOptRhoFunctions.pdf.asis      |    6 
 RobStatTM-1.0.11/RobStatTM/inst/doc/VignetteRobStatTM.pdf.asis                     |    6 
 RobStatTM-1.0.11/RobStatTM/inst/doc/fitmodelsusingRobStatTM.pdf.asis               |    6 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/ExactFit.R                                 |   78 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/MA1-AO.R                                   |   82 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/VignetteRobStatTM.R                        |  256 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/algae.R                                    |   70 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/ar1.R                                      |   98 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/ar3.R                                      |  146 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/autism.R                                   |  162 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/biochem.R                                  |   78 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/bus.R                                      |  114 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/epilepsy.R                                 |  168 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/fitmodelsRobStatTM.R                       |  106 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/flour.R                                    |   72 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/identAR2.R                                 |  134 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/identMA1.R                                 |  146 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/leukemia.R                                 |  136 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/mineral.R                                  |  188 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/oats.R                                     |  134 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/resex.R                                    |  130 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/shock.R                                    |  118 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/skin.R                                     |  126 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/step.R                                     |   86 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/vehicle.R                                  |   92 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/wine.R                                     |   82 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/wine1.R                                    |  208 
 RobStatTM-1.0.11/RobStatTM/inst/scripts/wood.R                                     |  124 
 RobStatTM-1.0.11/RobStatTM/man/BYlogreg.Rd                                         |  108 
 RobStatTM-1.0.11/RobStatTM/man/DCML.Rd                                             |   82 
 RobStatTM-1.0.11/RobStatTM/man/INVTR2.Rd                                           |   74 
 RobStatTM-1.0.11/RobStatTM/man/KurtSDNew.Rd                                        |  104 
 RobStatTM-1.0.11/RobStatTM/man/MLocDis.Rd                                          |  108 
 RobStatTM-1.0.11/RobStatTM/man/MMPY.Rd                                             |   78 
 RobStatTM-1.0.11/RobStatTM/man/MMultiSHR.Rd                                        |  100 
 RobStatTM-1.0.11/RobStatTM/man/Multirobu.Rd                                        |  124 
 RobStatTM-1.0.11/RobStatTM/man/RockeMulti.Rd                                       |  144 
 RobStatTM-1.0.11/RobStatTM/man/SMPCA.Rd                                            |  104 
 RobStatTM-1.0.11/RobStatTM/man/SMPY.Rd                                             |   82 
 RobStatTM-1.0.11/RobStatTM/man/WBYlogreg.Rd                                        |  110 
 RobStatTM-1.0.11/RobStatTM/man/WMLlogreg.Rd                                        |   90 
 RobStatTM-1.0.11/RobStatTM/man/alcohol.Rd                                          |   74 
 RobStatTM-1.0.11/RobStatTM/man/algae.Rd                                            |   76 
 RobStatTM-1.0.11/RobStatTM/man/biochem.Rd                                          |   50 
 RobStatTM-1.0.11/RobStatTM/man/bisquare.Rd                                         |   60 
 RobStatTM-1.0.11/RobStatTM/man/breslow.dat.Rd                                      |  104 
 RobStatTM-1.0.11/RobStatTM/man/bus.Rd                                              |   98 
 RobStatTM-1.0.11/RobStatTM/man/cov.dcml.Rd                                         |   70 
 RobStatTM-1.0.11/RobStatTM/man/covClassic.Rd                                       |  106 
 RobStatTM-1.0.11/RobStatTM/man/drop1.lmrobdetMM.Rd                                 |   96 
 RobStatTM-1.0.11/RobStatTM/man/fastmve.Rd                                          |  102 
 RobStatTM-1.0.11/RobStatTM/man/flour.Rd                                            |   56 
 RobStatTM-1.0.11/RobStatTM/man/glass.Rd                                            |   74 
 RobStatTM-1.0.11/RobStatTM/man/hearing.Rd                                          |   88 
 RobStatTM-1.0.11/RobStatTM/man/huber.Rd                                            |   60 
 RobStatTM-1.0.11/RobStatTM/man/image.Rd                                            |   54 
 RobStatTM-1.0.11/RobStatTM/man/leuk.dat.Rd                                         |   68 
 RobStatTM-1.0.11/RobStatTM/man/lmrobM.Rd                                           |  212 
 RobStatTM-1.0.11/RobStatTM/man/lmrobM.control.Rd                                   |  132 
 RobStatTM-1.0.11/RobStatTM/man/lmrobdet.control.Rd                                 |  304 
 RobStatTM-1.0.11/RobStatTM/man/lmrobdetDCML.Rd                                     |  212 
 RobStatTM-1.0.11/RobStatTM/man/lmrobdetMM.RFPE.Rd                                  |   84 
 RobStatTM-1.0.11/RobStatTM/man/lmrobdetMM.Rd                                       |  274 
 RobStatTM-1.0.11/RobStatTM/man/mineral.Rd                                          |   58 
 RobStatTM-1.0.11/RobStatTM/man/mopt.Rd                                             |   62 
 RobStatTM-1.0.11/RobStatTM/man/moptv0.Rd                                           |   62 
 RobStatTM-1.0.11/RobStatTM/man/neuralgia.Rd                                        |   50 
 RobStatTM-1.0.11/RobStatTM/man/oats.Rd                                             |   56 
 RobStatTM-1.0.11/RobStatTM/man/opt.Rd                                              |   62 
 RobStatTM-1.0.11/RobStatTM/man/optv0.Rd                                            |   62 
 RobStatTM-1.0.11/RobStatTM/man/prcompRob.Rd                                        |   82 
 RobStatTM-1.0.11/RobStatTM/man/refine.sm.Rd                                        |  142 
 RobStatTM-1.0.11/RobStatTM/man/resex.Rd                                            |   60 
 RobStatTM-1.0.11/RobStatTM/man/rho.Rd                                              |   80 
 RobStatTM-1.0.11/RobStatTM/man/rhoprime.Rd                                         |   74 
 RobStatTM-1.0.11/RobStatTM/man/rhoprime2.Rd                                        |   74 
 RobStatTM-1.0.11/RobStatTM/man/rob.linear.test.Rd                                  |   78 
 RobStatTM-1.0.11/RobStatTM/man/scaleM.Rd                                           |only
 RobStatTM-1.0.11/RobStatTM/man/shock.Rd                                            |   66 
 RobStatTM-1.0.11/RobStatTM/man/skin.Rd                                             |   60 
 RobStatTM-1.0.11/RobStatTM/man/stackloss.Rd                                        |   66 
 RobStatTM-1.0.11/RobStatTM/man/step.lmrobdetMM.Rd                                  |  168 
 RobStatTM-1.0.11/RobStatTM/man/vehicle.Rd                                          |   94 
 RobStatTM-1.0.11/RobStatTM/man/waste.Rd                                            |   82 
 RobStatTM-1.0.11/RobStatTM/man/wine.Rd                                             |   82 
 RobStatTM-1.0.11/RobStatTM/src/lmrob.c                                             |  180 
 RobStatTM-1.0.11/RobStatTM/vignettes/OptimalBiasRobustRegressionPsiandRho.pdf.asis |    6 
 RobStatTM-1.0.11/RobStatTM/vignettes/PolynomialOptandmOptRhoFunctions.pdf.asis     |    6 
 RobStatTM-1.0.11/RobStatTM/vignettes/VignetteRobStatTM.pdf.asis                    |    6 
 RobStatTM-1.0.11/RobStatTM/vignettes/fitmodelsusingRobStatTM.lyx                   | 4370 +++++-----
 RobStatTM-1.0.11/RobStatTM/vignettes/fitmodelsusingRobStatTM.pdf.asis              |    6 
 RobStatTM-1.0.8/RobStatTM/man/mscale.Rd                                            |only
 137 files changed, 14767 insertions(+), 14742 deletions(-)

More information about RobStatTM at CRAN
Permanent link

Package redcapAPI updated to version 2.10.0 with previous version 2.9.1 dated 2024-05-15

Title: Interface to 'REDCap'
Description: Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Author: Benjamin Nutter [ctb, aut], Shawn Garbett [cre, ctb] , Savannah Obregon [ctb], Thomas Obadia [ctb], Marcus Lehr [ctb], Brian High [ctb], Stephen Lane [ctb], Will Beasley [ctb], Will Gray [ctb], Nick Kennedy [ctb], Tan Hsi-Nien [ctb], Jeffrey Horner [ [...truncated...]
Maintainer: Shawn Garbett <shawn.garbett@vumc.org>

Diff between redcapAPI versions 2.9.1 dated 2024-05-15 and 2.10.0 dated 2024-10-17

 redcapAPI-2.10.0/redcapAPI/DESCRIPTION                                                                   |   10 
 redcapAPI-2.10.0/redcapAPI/MD5                                                                           |  401 ++++------
 redcapAPI-2.10.0/redcapAPI/NAMESPACE                                                                     |   30 
 redcapAPI-2.10.0/redcapAPI/NEWS                                                                          |   23 
 redcapAPI-2.10.0/redcapAPI/R/createFileRepositoryFolder.R                                                |   35 
 redcapAPI-2.10.0/redcapAPI/R/createRedcapProject.R                                                       |   35 
 redcapAPI-2.10.0/redcapAPI/R/curl.R                                                                      |only
 redcapAPI-2.10.0/redcapAPI/R/deleteArms.R                                                                |   52 -
 redcapAPI-2.10.0/redcapAPI/R/deleteDags.R                                                                |   35 
 redcapAPI-2.10.0/redcapAPI/R/deleteEvents.R                                                              |   34 
 redcapAPI-2.10.0/redcapAPI/R/deleteFileRepository.R                                                      |   32 
 redcapAPI-2.10.0/redcapAPI/R/deleteFiles.R                                                               |   44 -
 redcapAPI-2.10.0/redcapAPI/R/deleteFromFileRepository.R                                                  |   37 
 redcapAPI-2.10.0/redcapAPI/R/deleteRecords.R                                                             |   36 
 redcapAPI-2.10.0/redcapAPI/R/deleteUserRoles.R                                                           |   40 
 redcapAPI-2.10.0/redcapAPI/R/deleteUsers.R                                                               |   38 
 redcapAPI-2.10.0/redcapAPI/R/docsArmsMethods.R                                                           |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsDagAssignmentMethods.R                                                  |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsDagMethods.R                                                            |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsEventMethods.R                                                          |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsFileMethods.R                                                           |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsFileRepositoryMethods.R                                                 |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsFromFileRepository.R                                                    |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsMappingMethods.R                                                        |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsMetaDataMethods.R                                                       |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsProjectInformationMethods.R                                             |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsRecordsManagementMethods.R                                              |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsRecordsMethods.R                                                        |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsRecordsTypedMethods.R                                                   |   10 
 redcapAPI-2.10.0/redcapAPI/R/docsRepeatingInstrumentEventMethods.R                                       |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsSurveyMethods.R                                                         |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsUserMethods.R                                                           |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsUserRoleAssignmentMethods.R                                             |    6 
 redcapAPI-2.10.0/redcapAPI/R/docsUserRoleMethods.R                                                       |    6 
 redcapAPI-2.10.0/redcapAPI/R/documentation-common-args.R                                                 |    5 
 redcapAPI-2.10.0/redcapAPI/R/exportArms.R                                                                |   39 
 redcapAPI-2.10.0/redcapAPI/R/exportDags.R                                                                |   34 
 redcapAPI-2.10.0/redcapAPI/R/exportDataQuality.R                                                         |   18 
 redcapAPI-2.10.0/redcapAPI/R/exportEvents.R                                                              |   37 
 redcapAPI-2.10.0/redcapAPI/R/exportExternalCoding.R                                                      |   55 -
 redcapAPI-2.10.0/redcapAPI/R/exportFieldNames.R                                                          |   45 -
 redcapAPI-2.10.0/redcapAPI/R/exportFileRepository.R                                                      |   24 
 redcapAPI-2.10.0/redcapAPI/R/exportFileRepositoryListing.R                                               |   39 
 redcapAPI-2.10.0/redcapAPI/R/exportFiles.R                                                               |   36 
 redcapAPI-2.10.0/redcapAPI/R/exportFilesMultiple.R                                                       |   30 
 redcapAPI-2.10.0/redcapAPI/R/exportFromFileRepository.R                                                  |   36 
 redcapAPI-2.10.0/redcapAPI/R/exportInstruments.R                                                         |   37 
 redcapAPI-2.10.0/redcapAPI/R/exportLogging.R                                                             |  172 ++--
 redcapAPI-2.10.0/redcapAPI/R/exportMappings.R                                                            |   34 
 redcapAPI-2.10.0/redcapAPI/R/exportMetaData.R                                                            |   37 
 redcapAPI-2.10.0/redcapAPI/R/exportNextRecordName.R                                                      |   38 
 redcapAPI-2.10.0/redcapAPI/R/exportPDF.R                                                                 |   36 
 redcapAPI-2.10.0/redcapAPI/R/exportProjectInformation.R                                                  |   37 
 redcapAPI-2.10.0/redcapAPI/R/exportProjectXml.R                                                          |   33 
 redcapAPI-2.10.0/redcapAPI/R/exportRecords.R                                                             |   63 -
 redcapAPI-2.10.0/redcapAPI/R/exportRecordsTyped.R                                                        |   69 -
 redcapAPI-2.10.0/redcapAPI/R/exportRepeatingInstrumentsEvents.R                                          |   37 
 redcapAPI-2.10.0/redcapAPI/R/exportReports.R                                                             |   39 
 redcapAPI-2.10.0/redcapAPI/R/exportReportsTyped.R                                                        |   46 -
 redcapAPI-2.10.0/redcapAPI/R/exportSurveyLink.R                                                          |   35 
 redcapAPI-2.10.0/redcapAPI/R/exportSurveyParticipants.R                                                  |   38 
 redcapAPI-2.10.0/redcapAPI/R/exportSurveyQueueLink.R                                                     |   34 
 redcapAPI-2.10.0/redcapAPI/R/exportSurveyReturnCode.R                                                    |   38 
 redcapAPI-2.10.0/redcapAPI/R/exportUserDagAssignments.R                                                  |   39 
 redcapAPI-2.10.0/redcapAPI/R/exportUserRoleAssignments.R                                                 |   38 
 redcapAPI-2.10.0/redcapAPI/R/exportUserRoles.R                                                           |   39 
 redcapAPI-2.10.0/redcapAPI/R/exportUsers.R                                                               |   43 -
 redcapAPI-2.10.0/redcapAPI/R/exportVersion.R                                                             |   48 -
 redcapAPI-2.10.0/redcapAPI/R/fieldCastingFunctions.R                                                     |    5 
 redcapAPI-2.10.0/redcapAPI/R/fieldToVar.R                                                                |    1 
 redcapAPI-2.10.0/redcapAPI/R/fieldValidationAndCasting.R                                                 |   13 
 redcapAPI-2.10.0/redcapAPI/R/importArms.R                                                                |   44 -
 redcapAPI-2.10.0/redcapAPI/R/importDags.R                                                                |   40 
 redcapAPI-2.10.0/redcapAPI/R/importEvents.R                                                              |   38 
 redcapAPI-2.10.0/redcapAPI/R/importFileRepository.R                                                      |   33 
 redcapAPI-2.10.0/redcapAPI/R/importFiles.R                                                               |   41 -
 redcapAPI-2.10.0/redcapAPI/R/importMappings.R                                                            |   39 
 redcapAPI-2.10.0/redcapAPI/R/importMetaData.R                                                            |   40 
 redcapAPI-2.10.0/redcapAPI/R/importProjectInformation.R                                                  |   38 
 redcapAPI-2.10.0/redcapAPI/R/importRecords.R                                                             |   98 --
 redcapAPI-2.10.0/redcapAPI/R/importRepeatingInstrumentsEvents.R                                          |   37 
 redcapAPI-2.10.0/redcapAPI/R/importToFileRepository.R                                                    |   35 
 redcapAPI-2.10.0/redcapAPI/R/importUserDagAssignments.R                                                  |   41 -
 redcapAPI-2.10.0/redcapAPI/R/importUserRoleAssignments.R                                                 |   40 
 redcapAPI-2.10.0/redcapAPI/R/importUserRoles.R                                                           |   36 
 redcapAPI-2.10.0/redcapAPI/R/importUsers.R                                                               |   37 
 redcapAPI-2.10.0/redcapAPI/R/makeApiCall.R                                                               |  107 +-
 redcapAPI-2.10.0/redcapAPI/R/prepUserImportData.R                                                        |    2 
 redcapAPI-2.10.0/redcapAPI/R/preserveProject.R                                                           |   63 -
 redcapAPI-2.10.0/redcapAPI/R/purgeRestoreProject.R                                                       |  214 ++---
 redcapAPI-2.10.0/redcapAPI/R/redcapAPI-package.R                                                         |   14 
 redcapAPI-2.10.0/redcapAPI/R/redcapConnection.R                                                          |   22 
 redcapAPI-2.10.0/redcapAPI/R/redcapDataStructure.R                                                       |   61 -
 redcapAPI-2.10.0/redcapAPI/R/redcapError.R                                                               |   81 --
 redcapAPI-2.10.0/redcapAPI/R/renameRecord.R                                                              |   37 
 redcapAPI-2.10.0/redcapAPI/R/switchDag.R                                                                 |   43 -
 redcapAPI-2.10.0/redcapAPI/R/unlockREDCap.R                                                              |   33 
 redcapAPI-2.10.0/redcapAPI/R/validateImport.R                                                            |    1 
 redcapAPI-2.10.0/redcapAPI/R/zzz.R                                                                       |   33 
 redcapAPI-2.10.0/redcapAPI/README.md                                                                     |   28 
 redcapAPI-2.10.0/redcapAPI/build/vignette.rds                                                            |binary
 redcapAPI-2.10.0/redcapAPI/inst/doc/redcapAPI-best-practices.pdf                                         |binary
 redcapAPI-2.10.0/redcapAPI/inst/doc/redcapAPI-casting-data.pdf                                           |binary
 redcapAPI-2.10.0/redcapAPI/inst/doc/redcapAPI-data-validation.pdf                                        |binary
 redcapAPI-2.10.0/redcapAPI/inst/doc/redcapAPI-faq.pdf                                                    |binary
 redcapAPI-2.10.0/redcapAPI/inst/doc/redcapAPI-getting-started-connecting.pdf                             |binary
 redcapAPI-2.10.0/redcapAPI/inst/doc/redcapAPI-missing-data-detection.pdf                                 |binary
 redcapAPI-2.10.0/redcapAPI/inst/doc/redcapAPI-offline-connection.pdf                                     |binary
 redcapAPI-2.10.0/redcapAPI/inst/vignette-source/redcapAPI-best-practices.Rmd                             |   77 +
 redcapAPI-2.10.0/redcapAPI/man/armsMethods.Rd                                                            |   44 -
 redcapAPI-2.10.0/redcapAPI/man/as.character.response.Rd                                                  |only
 redcapAPI-2.10.0/redcapAPI/man/createFileRepositoryFolder.Rd                                             |   17 
 redcapAPI-2.10.0/redcapAPI/man/createRedcapProject.Rd                                                    |   17 
 redcapAPI-2.10.0/redcapAPI/man/dagAssignmentMethods.Rd                                                   |   29 
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Package OneStep updated to version 0.9.4 with previous version 0.9.3 dated 2024-02-23

Title: One-Step Estimation
Description: Provide principally an eponymic function that numerically computes the Le Cam's one-step estimator for an independent and identically distributed sample. One-step estimation is asymptotically efficient (see L. Le Cam (1956) <https://projecteuclid.org/euclid.bsmsp/1200501652>) and can be computed faster than the maximum likelihood estimator for large observation samples, see e.g. Brouste et al. (2021) <doi:10.32614/RJ-2021-044>.
Author: Alexandre Brouste [aut] , Christophe Dutang [aut, cre] , Darel Noutsa Mieniedou [ctb]
Maintainer: Christophe Dutang <dutangc@gmail.com>

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Package mlogitBMA updated to version 0.1-9 with previous version 0.1-7 dated 2022-04-13

Title: Bayesian Model Averaging for Multinomial Logit Models
Description: Provides a modified function bic.glm of the BMA package that can be applied to multinomial logit (MNL) data. The data is converted to binary logit using the Begg & Gray approximation. The package also contains functions for maximum likelihood estimation of MNL.
Author: Hana Sevcikova [aut, cre], Adrian Raftery [aut]
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package konfound updated to version 1.0.2 with previous version 1.0.1 dated 2024-10-07

Title: Quantify the Robustness of Causal Inferences
Description: Statistical methods that quantify the conditions necessary to alter inferences, also known as sensitivity analysis, are becoming increasingly important to a variety of quantitative sciences. A series of recent works, including Frank (2000) <doi:10.1177/0049124100029002001> and Frank et al. (2013) <doi:10.3102/0162373713493129> extend previous sensitivity analyses by considering the characteristics of omitted variables or unobserved cases that would change an inference if such variables or cases were observed. These analyses generate statements such as "an omitted variable would have to be correlated at xx with the predictor of interest (e.g., the treatment) and outcome to invalidate an inference of a treatment effect". Or "one would have to replace pp percent of the observed data with nor which the treatment had no effect to invalidate the inference". We implement these recent developments of sensitivity analysis and provide modules to calculate these two robustness indices [...truncated...]
Author: Joshua M Rosenberg [aut, cre], Ran Xu [ctb], Qinyun Lin [ctb], Spiro Maroulis [ctb], Sarah Narvaiz [ctb], Kenneth A Frank [ctb], Wei Wang [ctb], Yunhe Cui [ctb], Gaofei Zhang [ctb], Xuesen Cheng [ctb], JiHoon Choi [ctb], Guan Saw [ctb]
Maintainer: Joshua M Rosenberg <jmrosen48@gmail.com>

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Package geosimilarity updated to version 3.7 with previous version 3.6 dated 2024-09-29

Title: Geographically Optimal Similarity
Description: Understanding spatial association is essential for spatial statistical inference, including factor exploration and spatial prediction. Geographically optimal similarity (GOS) model is an effective method for spatial prediction, as described in Yongze Song (2022) <doi:10.1007/s11004-022-10036-8>. GOS was developed based on the geographical similarity principle, as described in Axing Zhu (2018) <doi:10.1080/19475683.2018.1534890>. GOS has advantages in more accurate spatial prediction using fewer samples and critically reduced prediction uncertainty.
Author: Yongze Song [aut, cph] , Wenbo Lv [aut, cre]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package GD updated to version 10.5 with previous version 10.3 dated 2023-09-18

Title: Geographical Detectors for Assessing Spatial Factors
Description: Geographical detectors for measuring spatial stratified heterogeneity, as described in Jinfeng Wang (2010) <doi:10.1080/13658810802443457> and Jinfeng Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the optimal discretization of continuous data, four primary functions of geographical detectors, comparison of size effects of spatial unit and the visualizations of results. To use the package and to refer the descriptions of the package, methods and case datasets, please cite Yongze Song (2020) <doi:10.1080/15481603.2020.1760434>. The model has been applied in factor exploration of road performance and multi-scale spatial segmentation for network data, as described in Yongze Song (2018) <doi:10.3390/rs10111696> and Yongze Song (2020) <doi:10.1109/TITS.2020.3001193>, respectively.
Author: Yongze Song [aut, cph] , Wenbo Lv [aut, cre]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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New package circlus with initial version 0.0.1
Package: circlus
Title: Clustering and Simulation of Spherical Cauchy and PKBD Models
Version: 0.0.1
Description: Provides tools for estimation and clustering of spherical data, seamlessly integrated with the 'flexmix' package. Includes the necessary M-step implementations for both Poisson Kernel-Based Distribution (PKBD) and spherical Cauchy distribution. Additionally, the package provides random number generators for PKBD and spherical Cauchy distribution. Methods are based on Golzy M., Markatou M. (2020) <doi:10.1080/10618600.2020.1740713>, Kato S., McCullagh P. (2020) <doi:10.3150/20-bej1222> and Sablica L., Hornik K., Leydold J. (2023) <doi:10.1214/23-ejs2149>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp (>= 0.12.18), Tinflex (>= 1.8), flexmix, torch, methods
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.1.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-10-16 12:37:52 UTC; lukas
Author: Lukas Sablica [aut, cre] , Kurt Hornik [aut] , Bettina Gruen [aut] , Josef Leydold [aut]
Maintainer: Lukas Sablica <lsablica@wu.ac.at>
Repository: CRAN
Date/Publication: 2024-10-17 16:30:05 UTC

More information about circlus at CRAN
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Package brpop updated to version 0.5.0 with previous version 0.3.0 dated 2023-10-24

Title: Brazilian Population Estimatives
Description: Functions to handle and aggregate population estimates for Brazilian municipalities by sex and age groups.
Author: Raphael Saldanha [aut, cre]
Maintainer: Raphael Saldanha <raphael.de-freitas-saldanha@inria.fr>

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More information about brpop at CRAN
Permanent link

Package rbcc updated to version 0.1.2 with previous version 0.1.1 dated 2024-06-05

Title: Risk-Based Control Charts
Description: Univariate and multivariate versions of risk-based control charts. Univariate versions of control charts, such as the risk-based version of X-bar, Moving Average (MA), Exponentially Weighted Moving Average Control Charts (EWMA), and Cumulative Sum Control Charts (CUSUM) charts. The risk-based version of the multivariate T2 control chart. Plot and summary functions. Kosztyan et. al. (2016) <doi:10.1016/j.eswa.2016.06.019>.
Author: Aamir Saghir [aut], Attila Imre Katona [aut], Zsolt Tibor Kosztyan [aut, cre]
Maintainer: Zsolt Tibor Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>

Diff between rbcc versions 0.1.1 dated 2024-06-05 and 0.1.2 dated 2024-10-17

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New package MixLFA with initial version 1.0.0
Package: MixLFA
Title: Mixture of Longitudinal Factor Analysis Methods
Version: 1.0.0
Maintainer: Amine Ounajim <amine.ounajim@chu-poitiers.fr>
Description: Provides a function for the estimation of mixture of longitudinal factor analysis models using the iterative expectation-maximization algorithm (Ounajim, Slaoui, Louis, Billot, Frasca, Rigoard (2023) <doi:10.1002/sim.9804>) and several tools for visualizing and interpreting the models' parameters.
License: GPL-3
Imports: Rcpp (>= 1.0.0), ggplot2, pheatmap, GGally, dplyr, GPArotation
LinkingTo: Rcpp, RcppEigen
Suggests: testthat, rmarkdown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-10-16 10:37:03 UTC; 460723
Depends: R (>= 3.5.0)
Author: Amine Ounajim [aut, cre], Yousri Slaoui [aut], Omar Lahbabi [aut], Philippe Rigoard [ctb]
Repository: CRAN
Date/Publication: 2024-10-17 16:00:05 UTC

More information about MixLFA at CRAN
Permanent link

Package fusedMGM updated to version 0.1.2 with previous version 0.1.0.1 dated 2023-04-25

Title: Implementation of Fused MGM to Infer 2-Class Networks
Description: Implementation of fused Markov graphical model (FMGM; Park and Won, 2022). The functions include building mixed graphical model (MGM) objects from data, inference of networks using FMGM, stable edge-specific penalty selection (StEPS) for the determination of penalization parameters, and the visualization. For details, please refer to Park and Won (2022) <doi:10.48550/arXiv.2208.14959>.
Author: Jaehyun Park [aut, cre, cph] , Sungho Won [ths]
Maintainer: Jaehyun Park <J.31.Park@gmail.com>

Diff between fusedMGM versions 0.1.0.1 dated 2023-04-25 and 0.1.2 dated 2024-10-17

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Permanent link

New package diceplot with initial version 0.1.0
Package: diceplot
Title: High Dimensional Categorical Data Visualization
Description: Easy visualization for datasets with more than two categorical variables and additional continuous variables. 'diceplot' is particularly useful for exploring complex categorical data in the context of pathway analysis across multiple conditions. For a detailed documentation please visit <https://dice-and-domino-plot.readthedocs.io/en/latest/>.
Version: 0.1.0
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.5.0), tidyr (>= 1.3.0), data.table (>= 1.14.8), cowplot, tibble, stats, rlang
NeedsCompilation: no
Packaged: 2024-10-16 08:59:00 UTC; matthiasflo
Author: Matthias Flotho [aut, cre]
Maintainer: Matthias Flotho <matthias.flotho@ccb.uni-saarland.de>
Repository: CRAN
Date/Publication: 2024-10-17 16:00:02 UTC

More information about diceplot at CRAN
Permanent link

Package CodelistGenerator updated to version 3.2.1 with previous version 3.2.0 dated 2024-09-24

Title: Identify Relevant Clinical Codes and Evaluate Their Use
Description: Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.
Author: Edward Burn [aut, cre] , Marti Catala [ctb] , Xihang Chen [aut] , Nuria Mercade-Besora [aut] , Mike Du [ctb] , Danielle Newby [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between CodelistGenerator versions 3.2.0 dated 2024-09-24 and 3.2.1 dated 2024-10-17

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More information about CodelistGenerator at CRAN
Permanent link

Package cbbinom updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-02

Title: Continuous Analog of a Beta-Binomial Distribution
Description: Implementation of the d/p/q/r family of functions for a continuous analog to the standard discrete beta-binomial with continuous size parameter and continuous support with x in [0, size + 1].
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6@163.com>

Diff between cbbinom versions 0.1.0 dated 2024-09-02 and 0.2.0 dated 2024-10-17

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Package strucchangeRcpp updated to version 1.5-4-1.0.0 with previous version 1.5-3-1.0.4 dated 2021-11-26

Title: Testing, Monitoring, and Dating Structural Changes: C++ Version
Description: A fast implementation with additional experimental features for testing, monitoring and dating structural changes in (linear) regression models. 'strucchangeRcpp' features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g. cumulative/moving sum, recursive/moving estimates) and F statistics, respectively. These methods are described in Zeileis et al. (2002) <doi:10.18637/jss.v007.i02>. Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals, and their magnitude as well as the model fit can be evaluated using a variety of statistical measures.
Author: Dainius Masiliunas [aut, cre] , Achim Zeileis [aut] , Marius Appel [aut], Friedrich Leisch [aut], Kurt Hornik [aut], Christian Kleiber [aut], Andrei Mirt [ctb] , Bruce Hansen [ctb], Edgar C. Merkle [ctb], Nikolaus Umlauf [ctb]
Maintainer: Dainius Masiliunas <pastas4@gmail.com>

Diff between strucchangeRcpp versions 1.5-3-1.0.4 dated 2021-11-26 and 1.5-4-1.0.0 dated 2024-10-17

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Package POT updated to version 1.1-11 with previous version 1.1-10 dated 2022-04-14

Title: Generalized Pareto Distribution and Peaks Over Threshold
Description: Some functions useful to perform a Peak Over Threshold analysis in univariate and bivariate cases, see Beirlant et al. (2004) <doi:10.1002/0470012382>. A user guide is available in the vignette.
Author: Christophe Dutang [aut, cre] , Mathieu Ribatet [aut]
Maintainer: Christophe Dutang <dutangc@gmail.com>

Diff between POT versions 1.1-10 dated 2022-04-14 and 1.1-11 dated 2024-10-17

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Package gumbel updated to version 1.10-3 with previous version 1.10-2 dated 2018-08-07

Title: The Gumbel-Hougaard Copula
Description: Provides probability functions (cumulative distribution and density functions), simulation function (Gumbel copula multivariate simulation) and estimation functions (Maximum Likelihood Estimation, Inference For Margins, Moment Based Estimation and Canonical Maximum Likelihood).
Author: Christophe Dutang [aut, cre] , Anne-Lise Caillat [ctb], Veronique Larrieu [ctb], Triet Nguyen [ctb]
Maintainer: Christophe Dutang <dutangc@gmail.com>

Diff between gumbel versions 1.10-2 dated 2018-08-07 and 1.10-3 dated 2024-10-17

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Package BiasCorrector updated to version 0.2.3 with previous version 0.2.2 dated 2022-06-20

Title: A GUI to Correct Measurement Bias in DNA Methylation Analyses
Description: A GUI to correct measurement bias in DNA methylation analyses. The 'BiasCorrector' package just wraps the functions implemented in the 'R' package 'rBiasCorrection' into a shiny web application in order to make them more easily accessible. Publication: Kapsner et al. (2021) <doi:10.1002/ijc.33681>.
Author: Lorenz A. Kapsner [cre, aut, cph] , Evgeny A. Moskalev [aut]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

Diff between BiasCorrector versions 0.2.2 dated 2022-06-20 and 0.2.3 dated 2024-10-17

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Package paleoDiv updated to version 0.4.0 with previous version 0.3.0 dated 2024-05-02

Title: Extracting and Visualizing Paleobiodiversity
Description: Contains various tools for conveniently downloading and editing taxon-specific datasets from the Paleobiology Database <https://paleobiodb.org>, extracting information on abundance, temporal distribution of subtaxa and taxonomic diversity through deep time, and visualizing these data in relation to phylogeny and stratigraphy.
Author: Darius Nau [aut, cre]
Maintainer: Darius Nau <dariusnau@gmx.at>

Diff between paleoDiv versions 0.3.0 dated 2024-05-02 and 0.4.0 dated 2024-10-17

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Package GNE updated to version 0.99-6 with previous version 0.99-5 dated 2023-03-30

Title: Computation of Generalized Nash Equilibria
Description: Compute standard and generalized Nash Equilibria of non-cooperative games. Optimization methods available are nonsmooth reformulation, fixed-point formulation, minimization problem and constrained-equation reformulation. See e.g. Kanzow and Facchinei (2010), <doi:10.1007/s10479-009-0653-x>.
Author: Christophe Dutang [aut, cre]
Maintainer: Christophe Dutang <dutangc@gmail.com>

Diff between GNE versions 0.99-5 dated 2023-03-30 and 0.99-6 dated 2024-10-17

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Package depCensoring updated to version 0.1.3 with previous version 0.1.2 dated 2024-10-03

Title: Statistical Methods for Survival Data with Dependent Censoring
Description: Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9> and Willems et al. (2024+) <doi:10.48550/arXiv.2403.11860>.
Author: Ilias Willems [aut] , Gilles Crommen [aut] , Negera Wakgari Deresa [aut, cre] , Ingrid Van Keilegom [aut] , Claudia Czado [aut]
Maintainer: Negera Wakgari Deresa <negera.deresa@gmail.com>

Diff between depCensoring versions 0.1.2 dated 2024-10-03 and 0.1.3 dated 2024-10-17

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Package combat.enigma updated to version 1.1 with previous version 1.0 dated 2023-10-06

Title: Fit and Apply ComBat, LMM, or Prescaling Harmonization for ENIGMA and Other Multisite MRI Data
Description: Fit and apply ComBat, linear mixed-effects models (LMM), or prescaling to harmonize magnetic resonance imaging (MRI) data from different sites. Briefly, these methods remove differences between sites due to using different scanning devices, and LMM additionally tests linear hypotheses. As detailed in the manual, the original ComBat function was first modified for the harmonization of MRI data (Fortin et al. (2017) <doi:10.1016/j.neuroimage.2017.11.024>) and then modified again to create separate functions for fitting and applying the harmonization and allow missing values and constant rows for its use within the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium (Radua et al. (2020) <doi:10.1016/j.neuroimage.2017.11.024>); this package includes the latter version. LMM calls "lme" massively considering specific brain imaging details. Finally, prescaling is a good option for fMRI, where different devices can have varying units of measurement.
Author: Joaquim Radua [aut, cre]
Maintainer: Joaquim Radua <quimradua@gmail.com>

Diff between combat.enigma versions 1.0 dated 2023-10-06 and 1.1 dated 2024-10-17

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Package ShapleyOutlier updated to version 0.1.2 with previous version 0.1.1 dated 2023-02-20

Title: Multivariate Outlier Explanations using Shapley Values and Mahalanobis Distances
Description: Based on Shapley values to explain multivariate outlyingness and to detect and impute cellwise outliers. Includes implementations of methods described in Mayrhofer and Filzmoser (2023) <doi:10.1016/j.ecosta.2023.04.003>.
Author: Marcus Mayrhofer [aut, cre], Peter Filzmoser [aut]
Maintainer: Marcus Mayrhofer <marcus.mayrhofer@tuwien.ac.at>

Diff between ShapleyOutlier versions 0.1.1 dated 2023-02-20 and 0.1.2 dated 2024-10-17

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Package robustmatrix updated to version 0.1.3 with previous version 0.1.2 dated 2024-01-29

Title: Robust Matrix-Variate Parameter Estimation
Description: Robust covariance estimation for matrix-valued data and data with Kronecker-covariance structure using the Matrix Minimum Covariance Determinant (MMCD) estimators and outlier explanation using and Shapley values.
Author: Marcus Mayrhofer [aut, cre], Una Radojicic [aut], Peter Filzmoser [aut]
Maintainer: Marcus Mayrhofer <marcus.mayrhofer@tuwien.ac.at>

Diff between robustmatrix versions 0.1.2 dated 2024-01-29 and 0.1.3 dated 2024-10-17

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New package Keng with initial version 2024.10.16
Package: Keng
Title: Keng's Axe and Firewood
Version: 2024.10.16
Description: Miscellaneous functions and data used in Qingyao's psychological research and teaching.
License: CC BY 4.0
Encoding: UTF-8
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-16 02:28:44 UTC; Yao
Author: Qingyao Zhang [aut, cre]
Maintainer: Qingyao Zhang <qingyaozhang@outlook.com>
Repository: CRAN
Date/Publication: 2024-10-17 12:40:05 UTC

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New package imuf with initial version 0.2.1
Package: imuf
Title: Estimate Orientation of an Inertial Measurement Unit
Version: 0.2.1
Description: Estimate the orientation of an inertial measurement unit (IMU) with a 3-axis accelerometer and a 3-axis gyroscope using a complementary filter. 'imuf' takes an IMU's accelerometer and gyroscope readings, time duration, its initial orientation, and a gain factor as inputs, and returns an estimate of the IMU's final orientation.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, BH
Imports: Rcpp
Suggests: testthat (>= 3.0.0)
URL: https://github.com/gitboosting/imuf, https://gitboosting.github.io/imuf/
BugReports: https://github.com/gitboosting/imuf/issues
NeedsCompilation: yes
Packaged: 2024-10-16 00:23:47 UTC; mkcha
Author: Felix Chan [aut, cre, cph]
Maintainer: Felix Chan <chanfelix@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-17 12:20:07 UTC

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Package counterfactuals updated to version 0.1.6 with previous version 0.1.5 dated 2024-10-15

Title: Counterfactual Explanations
Description: Modular and unified R6-based interface for counterfactual explanation methods. The following methods are currently implemented: Burghmans et al. (2022) <doi:10.48550/arXiv.2104.07411>, Dandl et al. (2020) <doi:10.1007/978-3-030-58112-1_31> and Wexler et al. (2019) <doi:10.1109/TVCG.2019.2934619>. Optional extensions allow these methods to be applied to a variety of models and use cases. Once generated, the counterfactuals can be analyzed and visualized by provided functionalities.
Author: Susanne Dandl [aut, cre] , Andreas Hofheinz [aut], Martin Binder [ctb], Giuseppe Casalicchio [ctb]
Maintainer: Susanne Dandl <dandls.datascience@gmail.com>

Diff between counterfactuals versions 0.1.5 dated 2024-10-15 and 0.1.6 dated 2024-10-17

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Package bigrquerystorage updated to version 1.2.1 with previous version 1.2.0 dated 2024-10-01

Title: An Interface to Google's 'BigQuery Storage' API
Description: Easily talk to Google's 'BigQuery Storage' API from R (<https://cloud.google.com/bigquery/docs/reference/storage/rpc>).
Author: Bruno Tremblay [aut, cre], Google LLC [cph, fnd]
Maintainer: Bruno Tremblay <openr@neoxone.com>

Diff between bigrquerystorage versions 1.2.0 dated 2024-10-01 and 1.2.1 dated 2024-10-17

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Package rib updated to version 0.23.1 with previous version 0.20.0 dated 2024-04-19

Title: An Implementation of 'Interactive Brokers' API
Description: Allows interaction with 'Interactive Brokers' 'Trader Workstation' <https://interactivebrokers.github.io/tws-api/>. Handles the connection over the network and the exchange of messages. Data is encoded and decoded between user and wire formats. Data structures and functionality closely mirror the official implementations.
Author: Luca Billi [aut, cre]
Maintainer: Luca Billi <noreply.section+dev@gmail.com>

Diff between rib versions 0.20.0 dated 2024-04-19 and 0.23.1 dated 2024-10-17

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New package MonoPhy with initial version 1.3.2
Package: MonoPhy
Title: Explore Monophyly of Taxonomic Groups in a Phylogeny
Version: 1.3.2
Date: 2024-10-16
Description: Requires rooted phylogeny as input and creates a table of genera, their monophyly-status, which taxa cause problems in monophyly etc. Different information can be extracted from the output and a plot function allows visualization of the results in a number of ways. "MonoPhy: a simple R package to find and visualize monophyly issues." Schwery, O. & O'Meara, B.C. (2016) <doi:10.7717/peerj-cs.56>.
Depends: ape, phytools
Imports: phangorn, RColorBrewer
License: GPL-3
Suggests: knitr, testthat, paleotree, rmarkdown, taxize
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-16 23:32:37 UTC; oschwery
Author: Orlando Schwery [aut, cre], Brian C. O'Meara [aut, ctb], Peter Cowman [ctb]
Maintainer: Orlando Schwery <schwery.macroevo@pm.me>
Repository: CRAN
Date/Publication: 2024-10-17 11:40:07 UTC

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Package bayestestR updated to version 0.15.0 with previous version 0.14.0 dated 2024-07-24

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Micah K. Wilson [aut] , Brenton M. Wiernik [aut] , Paul-Christian Buerkner [rev], Tristan Mahr [rev] , Henrik Singmann [ctb] , Quentin F. Gron [...truncated...]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between bayestestR versions 0.14.0 dated 2024-07-24 and 0.15.0 dated 2024-10-17

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New package trtswitch with initial version 0.1.0
Package: trtswitch
Title: Treatment Switching
Version: 0.1.0
Date: 2024-10-15
Description: Implements rank-preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), and two-stage estimation (TSE) methods for treatment switching in randomized clinical trials.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.9)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), dplyr (>= 1.1.4), survival (>= 3.5-7), geepack (>= 1.3.12)
Encoding: UTF-8
NeedsCompilation: yes
Depends: R (>= 2.10)
LazyData: true
Packaged: 2024-10-15 21:38:02 UTC; kaife
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-17 10:10:03 UTC

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Package SSRA updated to version 0.1-1 with previous version 0.1-0 dated 2016-08-22

Title: Sakai Sequential Relation Analysis
Description: 'Takea Semantic Structure Analysis' (TSSA) and 'Sakai Sequential Relation Analysis' (SSRA) for polytomous items. Package includes functions for generating a sequential relation table and a treegram to visualize the sequential relations between pairs of items.
Author: Takuya Yanagida [cre, aut], Keiko Sakai [aut]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

Diff between SSRA versions 0.1-0 dated 2016-08-22 and 0.1-1 dated 2024-10-17

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Package easybgm updated to version 0.2.1 with previous version 0.1.2 dated 2024-03-13

Title: Extracting and Visualizing Bayesian Graphical Models
Description: Fit and visualize the results of a Bayesian analysis of networks commonly found in psychology. The package supports fitting cross-sectional network models fitted using the packages 'BDgraph', 'bgms' and 'BGGM'. The package provides the parameter estimates, posterior inclusion probabilities, inclusion Bayes factor, and the posterior density of the parameters. In addition, for 'BDgraph' and 'bgms' it allows to assess the posterior structure space. Furthermore, the package comes with an extensive suite for visualizing results.
Author: Karoline Huth [aut, cre] , Sara Keetelaar [ctb]
Maintainer: Karoline Huth <k.huth@uva.nl>

Diff between easybgm versions 0.1.2 dated 2024-03-13 and 0.2.1 dated 2024-10-17

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Package causaloptim updated to version 1.0.0 with previous version 0.9.8 dated 2023-10-31

Title: An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects
Description: When causal quantities are not identifiable from the observed data, it still may be possible to bound these quantities using the observed data. We outline a class of problems for which the derivation of tight bounds is always a linear programming problem and can therefore, at least theoretically, be solved using a symbolic linear optimizer. We extend and generalize the approach of Balke and Pearl (1994) <doi:10.1016/B978-1-55860-332-5.50011-0> and we provide a user friendly graphical interface for setting up such problems via directed acyclic graphs (DAG), which only allow for problems within this class to be depicted. The user can then define linear constraints to further refine their assumptions to meet their specific problem, and then specify a causal query using a text interface. The program converts this user defined DAG, query, and constraints, and returns tight bounds. The bounds can be converted to R functions to evaluate them for specific datasets, and to latex code for [...truncated...]
Author: Michael C Sachs [aut, cre], Erin E Gabriel [aut], Arvid Sjoelander [aut], Gustav Jonzon [aut], Alexander A Balke [ctb] ), Colorado Reed [ctb] )
Maintainer: Michael C Sachs <sachsmc@gmail.com>

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Package parabar updated to version 1.2.1 with previous version 1.1.1 dated 2024-02-05

Title: Progress Bar for Parallel Tasks
Description: A simple interface in the form of R6 classes for executing tasks in parallel, tracking their progress, and displaying accurate progress bars.
Author: Mihai Constantin [aut, cre]
Maintainer: Mihai Constantin <mihai@mihaiconstantin.com>

Diff between parabar versions 1.1.1 dated 2024-02-05 and 1.2.1 dated 2024-10-17

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Package mizer updated to version 2.5.3 with previous version 2.5.2 dated 2024-10-14

Title: Dynamic Multi-Species Size Spectrum Modelling
Description: A set of classes and methods to set up and run multi-species, trait based and community size spectrum ecological models, focused on the marine environment.
Author: Gustav Delius [cre, aut, cph] , Finlay Scott [aut, cph], Julia Blanchard [aut, cph] , Ken Andersen [aut, cph] , Richard Southwell [ctb, cph]
Maintainer: Gustav Delius <gustav.delius@york.ac.uk>

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Package meteospain updated to version 0.2.0 with previous version 0.1.4 dated 2023-12-19

Title: Access to Spanish Meteorological Stations Services
Description: Access to different Spanish meteorological stations data services and APIs (AEMET, SMC, MG, Meteoclimatic...).
Author: Victor Granda [aut, cre] , Miquel de Caceres [ctb] , Aitor Ameztegui [ctb] , Luis Franco [ctb], Ruben Fernandez-Casal [ctb]
Maintainer: Victor Granda <victorgrandagarcia@gmail.com>

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Package jsmodule updated to version 1.5.9 with previous version 1.5.8 dated 2024-09-20

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut] , Yoonkyoung Jeon [aut], Jaewoong Heo [aut], Youngsun Park [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package gdverse updated to version 1.1-1 with previous version 1.1.0 dated 2024-10-10

Title: Analysis of Spatial Stratified Heterogeneity
Description: Analyzing spatial factors and exploring spatial associations based on the concept of spatial stratified heterogeneity, and also takes into account local spatial dependencies, spatial interpretability, potential spatial interactions, and robust spatial stratification. Additionally, it supports geographical detector models established in academic literature.
Author: Wenbo Lv [aut, cre, cph] , Yangyang Lei [aut] , Fangmei Liu [aut] , Wufan Zhao [aut] , Yongze Song [aut] , Jianwu Yan [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package charlatan updated to version 0.6.1 with previous version 0.5.1 dated 2023-09-13

Title: Make Fake Data
Description: Make fake data that looks realistic, supporting addresses, person names, dates, times, colors, coordinates, currencies, digital object identifiers ('DOIs'), jobs, phone numbers, 'DNA' sequences, doubles and integers from distributions and within a range.
Author: Roel M. Hogervorst [cre, aut] , Scott Chamberlain [aut] , Kyle Voytovich [aut], Martin Pedersen [ctb], Brooke Anderson [rev] , Tristan Mahr [rev] , rOpenSci [fnd]
Maintainer: Roel M. Hogervorst <hogervorst.rm@gmail.com>

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Permanent link

Package MixfMRI updated to version 0.1-4 with previous version 0.1-3 dated 2023-09-04

Title: Mixture fMRI Clustering Analysis
Description: Utilizing model-based clustering (unsupervised) for functional magnetic resonance imaging (fMRI) data. The developed methods (Chen and Maitra (2023) <doi:10.1002/hbm.26425>) include 2D and 3D clustering analyses (for p-values with voxel locations) and segmentation analyses (for p-values alone) for fMRI data where p-values indicate significant level of activation responding to stimulate of interesting. The analyses are mainly identifying active voxel/signal associated with normal brain behaviors. Analysis pipelines (R scripts) utilizing this package (see examples in 'inst/workflow/') is also implemented with high performance techniques.
Author: Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Dan Nettleton [aut, ctb], Pierre Lafaye De Micheaux [aut, ctb] , Jonathan L Marchini [aut, ctb]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between MixfMRI versions 0.1-3 dated 2023-09-04 and 0.1-4 dated 2024-10-17

 ChangeLog                 |    4 ++++
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 src/spatial.c             |   22 +++++++++++-----------
 8 files changed, 36 insertions(+), 28 deletions(-)

More information about MixfMRI at CRAN
Permanent link


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