Wed, 12 Mar 2025

Package NMsim updated to version 0.2.0 with previous version 0.1.6 dated 2025-02-05

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

Diff between NMsim versions 0.1.6 dated 2025-02-05 and 0.2.0 dated 2025-03-12

 NMsim-0.1.6/NMsim/tests/testthat/testData/nonmem/NMsim/xgxr021_nmtranfail/xgxr021_nmtranfail_input.rds     |only
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 NMsim-0.2.0/NMsim/DESCRIPTION                                                                              |    6 
 NMsim-0.2.0/NMsim/MD5                                                                                      |  127 -
 NMsim-0.2.0/NMsim/NAMESPACE                                                                                |    1 
 NMsim-0.2.0/NMsim/NEWS.md                                                                                  |   72 
 NMsim-0.2.0/NMsim/R/NMcreateDoses.R                                                                        |   11 
 NMsim-0.2.0/NMsim/R/NMexec.R                                                                               |    6 
 NMsim-0.2.0/NMsim/R/NMreadFilters.R                                                                        |only
 NMsim-0.2.0/NMsim/R/NMreadInits.R                                                                          |only
 NMsim-0.2.0/NMsim/R/NMreadSim.R                                                                            |   12 
 NMsim-0.2.0/NMsim/R/NMreadSimModTab.R                                                                      |  107 -
 NMsim-0.2.0/NMsim/R/NMreadTabFast.R                                                                        |only
 NMsim-0.2.0/NMsim/R/NMreplaceInits.R                                                                       |    3 
 NMsim-0.2.0/NMsim/R/NMsim.R                                                                                |  810 ++++++----
 NMsim-0.2.0/NMsim/R/NMsimDataPrepare.R                                                                     |only
 NMsim-0.2.0/NMsim/R/NMsim_NWPRI.R                                                                          |    6 
 NMsim-0.2.0/NMsim/R/NMsim_VarCov.R                                                                         |    5 
 NMsim-0.2.0/NMsim/R/NMsim_default.R                                                                        |    2 
 NMsim-0.2.0/NMsim/R/NMsim_helpers.R                                                                        |   55 
 NMsim-0.2.0/NMsim/R/NMupdateInits.R                                                                        |    6 
 NMsim-0.2.0/NMsim/R/NMwriteFilters.R                                                                       |only
 NMsim-0.2.0/NMsim/R/NMwriteInits.R                                                                         |   35 
 NMsim-0.2.0/NMsim/R/addClass.R                                                                             |    5 
 NMsim-0.2.0/NMsim/R/addEVID2.R                                                                             |   42 
 NMsim-0.2.0/NMsim/R/expandCovs.R                                                                           |    2 
 NMsim-0.2.0/NMsim/README.md                                                                                |   13 
 NMsim-0.2.0/NMsim/man/NMcreateDoses.Rd                                                                     |    4 
 NMsim-0.2.0/NMsim/man/NMexec.Rd                                                                            |    2 
 NMsim-0.2.0/NMsim/man/NMreadFilters.Rd                                                                     |only
 NMsim-0.2.0/NMsim/man/NMreadInits.Rd                                                                       |only
 NMsim-0.2.0/NMsim/man/NMreadSimModTab.Rd                                                                   |    3 
 NMsim-0.2.0/NMsim/man/NMreadSimModTabOne.Rd                                                                |    3 
 NMsim-0.2.0/NMsim/man/NMsim.Rd                                                                             |  354 ++--
 NMsim-0.2.0/NMsim/man/NMsim_NWPRI.Rd                                                                       |    7 
 NMsim-0.2.0/NMsim/man/NMsim_VarCov.Rd                                                                      |    4 
 NMsim-0.2.0/NMsim/man/NMupdateInits.Rd                                                                     |    2 
 NMsim-0.2.0/NMsim/man/NMwriteInits.Rd                                                                      |   11 
 NMsim-0.2.0/NMsim/man/addClass.Rd                                                                          |only
 NMsim-0.2.0/NMsim/man/addEVID2.Rd                                                                          |    6 
 NMsim-0.2.0/NMsim/man/count_ij.Rd                                                                          |only
 NMsim-0.2.0/NMsim/man/expandCovs.Rd                                                                        |    2 
 NMsim-0.2.0/NMsim/man/initsToExt.Rd                                                                        |only
 NMsim-0.2.0/NMsim/man/itriag.Rd                                                                            |only
 NMsim-0.2.0/NMsim/man/jtriag.Rd                                                                            |only
 NMsim-0.2.0/NMsim/man/triagSize.Rd                                                                         |only
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 NMsim-0.2.0/NMsim/tests/testthat/testReference/NMsim_02b.rds                                               |binary
 NMsim-0.2.0/NMsim/tests/testthat/testReference/NMsim_09.rds                                                |binary
 NMsim-0.2.0/NMsim/tests/testthat/testReference/NMsim_10.rds                                                |binary
 NMsim-0.2.0/NMsim/tests/testthat/testReference/NMsim_EBE_03.rds                                            |binary
 NMsim-0.2.0/NMsim/tests/testthat/testReference/NMsim_NWPRI_01.rds                                          |binary
 NMsim-0.2.0/NMsim/tests/testthat/testReference/NMsim_NWPRI_02.rds                                          |binary
 NMsim-0.2.0/NMsim/tests/testthat/testReference/NMsim_inits_06.rds                                          |binary
 NMsim-0.2.0/NMsim/tests/testthat/testReference/NMsim_sizes_05.rds                                          |binary
 NMsim-0.2.0/NMsim/tests/testthat/test_NMcreateDoses.R                                                      |   19 
 NMsim-0.2.0/NMsim/tests/testthat/test_NMreadSim.R                                                          |   10 
 NMsim-0.2.0/NMsim/tests/testthat/test_NMsim.R                                                              |  187 ++
 NMsim-0.2.0/NMsim/tests/testthat/test_NMsim_NWPRI.R                                                        |   17 
 NMsim-0.2.0/NMsim/tests/testthat/test_addEVID2.R                                                           |   12 
 73 files changed, 1356 insertions(+), 701 deletions(-)

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Package jinjar updated to version 0.3.2 with previous version 0.3.1 dated 2023-11-01

Title: Template Engine Inspired by 'Jinja'
Description: Template engine powered by the 'inja' C++ library. Users write a template document, using syntax inspired by the 'Jinja' Python package, and then render the final document by passing data from R. The template syntax supports features such as variables, loops, conditions and inheritance.
Author: David Hall [aut, cre, cph] , Lars Berscheid [cph] , Niels Lohmann [cph]
Maintainer: David Hall <david.hall.physics@gmail.com>

Diff between jinjar versions 0.3.1 dated 2023-11-01 and 0.3.2 dated 2025-03-12

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Package spmodel updated to version 0.10.0 with previous version 0.9.0 dated 2024-11-06

Title: Spatial Statistical Modeling and Prediction
Description: Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.
Author: Michael Dumelle [aut, cre] , Matt Higham [aut] , Ryan A. Hill [ctb] , Michael Mahon [ctb] , Jay M. Ver Hoef [aut]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

Diff between spmodel versions 0.9.0 dated 2024-11-06 and 0.10.0 dated 2025-03-12

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Package rethnicity updated to version 0.2.7 with previous version 0.2.6 dated 2024-10-18

Title: Predicting Ethnic Group from Names
Description: Implementation of the race/ethnicity prediction method, described in "rethnicity: An R package for predicting ethnicity from names" by Fangzhou Xie (2022) <doi:10.1016/j.softx.2021.100965> and "Rethnicity: Predicting Ethnicity from Names" by Fangzhou Xie (2021) <doi:10.48550/arXiv.2109.09228>.
Author: Fangzhou Xie [aut, cre, cph]
Maintainer: Fangzhou Xie <fangzhou.xie@rutgers.edu>

Diff between rethnicity versions 0.2.6 dated 2024-10-18 and 0.2.7 dated 2025-03-12

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Package float updated to version 0.3-3 with previous version 0.3-2 dated 2023-12-10

Title: 32-Bit Floats
Description: R comes with a suite of utilities for linear algebra with "numeric" (double precision) vectors/matrices. However, sometimes single precision (or less!) is more than enough for a particular task. This package extends R's linear algebra facilities to include 32-bit float (single precision) data. Float vectors/matrices have half the precision of their "numeric"-type counterparts but are generally faster to numerically operate on, for a performance vs accuracy trade-off. The internal representation is an S4 class, which allows us to keep the syntax identical to that of base R's. Interaction between floats and base types for binary operators is generally possible; in these cases, type promotion always defaults to the higher precision. The package ships with copies of the single precision 'BLAS' and 'LAPACK', which are automatically built in the event they are not available on the system.
Author: Drew Schmidt [aut, cre, cph], Wei-Chen Chen [aut], Dmitriy Selivanov [ctb] , ORNL [cph]
Maintainer: Drew Schmidt <wrathematics@gmail.com>

Diff between float versions 0.3-2 dated 2023-12-10 and 0.3-3 dated 2025-03-12

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 src/sweep.c       |    4 +--
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 30 files changed, 136 insertions(+), 132 deletions(-)

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Package rehydratoR (with last version 0.5.2) was removed from CRAN

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

2019-02-08 0.5.2
2019-01-25 0.5.1

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New package VizTest with initial version 0.3
Package: VizTest
Title: Optimal Confidence Intervals for Visual Testing
Version: 0.3
Description: Identifies the optimal confidence level to represent the results of a set of pairwise tests as suggested by Armstrong and Poirier (2025) <doi:10.1017/pan.2024.24>.
Depends: R (>= 4.1.0), dplyr, ggplot2, HDInterval
Suggests: carData, collapse, knitr, lme4, marginaleffects, patchwork, rmarkdown, sandwich, tidyr, wooldridge
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-10 20:06:21 UTC; david
Author: Dave Armstrong [aut, cre] , William Poirier [aut]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-12 17:40:02 UTC

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New package tcxr with initial version 0.1.0
Package: tcxr
Title: Parse and Analyze TCX Files
Version: 0.1.0
Description: Framework provides functions to parse 'Training Center XML (TCX)' files and extract key activity metrics such as total distance, total time, calories burned, maximum altitude, and power values (watts). This package is useful for analyzing workout and training data from devices that export 'TCX' format.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Imports: XML
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-10 20:08:05 UTC; iztok
Author: Iztok Jr. Fister [aut, cre, cph]
Maintainer: Iztok Jr. Fister <iztok@iztok.space>
Repository: CRAN
Date/Publication: 2025-03-12 17:30:02 UTC

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Package stream updated to version 2.0-3 with previous version 2.0-2 dated 2024-04-21

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.
Author: Michael Hahsler [aut, cre, cph] , Matthew Bolanos [ctb], John Forrest [ctb], Matthias Carnein [ctb], Dennis Assenmacher [ctb], Dalibor Krleza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between stream versions 2.0-2 dated 2024-04-21 and 2.0-3 dated 2025-03-12

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 65 files changed, 767 insertions(+), 787 deletions(-)

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New package RIIM with initial version 2.0.0
Package: RIIM
Title: Randomization-Based Inference Under Inexact Matching
Version: 2.0.0
Description: Randomization-based inference for average treatment effects in potentially inexactly matched observational studies. It implements the inverse post-matching probability weighting framework proposed by the authors. The post-matching probability calculation follows the approach of Pimentel and Huang (2024) <doi:10.1093/jrsssb/qkae033>. The optimal full matching method is based on Hansen (2004) <doi:10.1198/106186006X137047>. The variance estimator extends the method proposed in Fogarty (2018) <doi:10.1111/rssb.12290> from the perfect randomization settings to the potentially inexact matching case. Comparisons are made with conventional methods, as described in Rosenbaum (2002) <doi:10.1007/978-1-4757-3692-2>, Fogarty (2018) <doi:10.1111/rssb.12290>, and Kang et al. (2016) <doi:10.1214/15-aoas894>.
Imports: MASS, xgboost, optmatch
Suggests: VGAM, mvtnorm
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-10 20:45:40 UTC; jiananzhu
Author: Jianan Zhu [aut, cre], Jeffrey Zhang [aut], Zijian Guo [aut], Siyu Heng [aut]
Maintainer: Jianan Zhu <jz4698@nyu.edu>
Repository: CRAN
Date/Publication: 2025-03-12 17:40:05 UTC

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New package prinsurf with initial version 1.0
Package: prinsurf
Title: Constructs Principal Surfaces
Version: 1.0
Description: Construct a principal surface that are two-dimensional surfaces that pass through the middle of a p-dimensional data set. They minimise the distance from the data points, and provide a nonlinear summary of data. The surfaces are nonparametric and their shape is suggested by the data. The formation of a surface is found using an iterative procedure which starts with a linear summary, typically with a principal component plane. Each successive iteration is a local average of the p-dimensional points, where an average is based on a projection of a point onto the nonlinear surface of the previous iteration. For more information on principal surfaces, see Ganey, R. (2019, "https://open.uct.ac.za/items/4e655d7d-d10c-481b-9ccc-801903aebfc8").
License: MIT + file LICENSE
Encoding: UTF-8
Imports: rgl
Suggests: stats, Matrix, akima, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-10 16:26:16 UTC; raeesaganey
Author: Raeesa Ganey [aut, cre]
Maintainer: Raeesa Ganey <Raeesa.ganey@wits.ac.za>
Repository: CRAN
Date/Publication: 2025-03-12 17:30:12 UTC

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New package datapackage with initial version 0.1.1
Package: datapackage
Title: Creating and Reading Data Packages
Version: 0.1.1
Description: Open, read data from and modify Data Packages. Data Packages are an open standard for bundling and describing data sets (<https://datapackage.org>). When data is read from a Data Package care is taken to convert the data as much a possible to R appropriate data types. The package can be extended with plugins for additional data types.
BugReports: https://github.com/djvanderlaan/datapackage/issues
URL: https://github.com/djvanderlaan/datapackage
Depends: R (>= 4.1.0)
Imports: yaml, jsonlite, iso8601, utils, tools, methods
Suggests: simplermarkdown, data.table, codelist, LaF
VignetteBuilder: simplermarkdown
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-10 16:38:23 UTC; eoos
Author: Jan van der Laan [aut, cre]
Maintainer: Jan van der Laan <r@eoos.dds.nl>
Repository: CRAN
Date/Publication: 2025-03-12 17:30:16 UTC

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Package cluster updated to version 2.1.8.1 with previous version 2.1.8 dated 2024-12-11

Title: "Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.
Description: Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Author: Martin Maechler [aut, cre] , Peter Rousseeuw [aut] , Anja Struyf [aut] , Mia Hubert [aut] , Kurt Hornik [trl, ctb] , <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Er [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between cluster versions 2.1.8 dated 2024-12-11 and 2.1.8.1 dated 2025-03-12

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New package causalreg with initial version 0.1.0
Package: causalreg
Title: Causal Generalized Linear Models
Version: 0.1.0
Description: An implementation of methods for causal discovery in a structural causal model where the conditional distribution of the target node is described by a generalized linear model conditional on its causal parents.
License: GPL-3
Encoding: UTF-8
Imports: mgcv
NeedsCompilation: no
Packaged: 2025-03-10 16:46:51 UTC; v_vin
Author: Veronica Vinciotti [aut, cre], Ernst C. Wit [aut]
Maintainer: Veronica Vinciotti <veronica.vinciotti@unitn.it>
Repository: CRAN
Date/Publication: 2025-03-12 17:30:20 UTC

More information about causalreg at CRAN
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Package qgcompint updated to version 1.0.0 with previous version 0.7.0 dated 2022-03-22

Title: Quantile G-Computation Extensions for Effect Measure Modification
Description: G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. Effect measure modification in this method is a way to assess how the effect of the mixture varies by a binary, categorical or continuous variable. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <alex.keil@nih.gov>

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Package ppgm updated to version 1.1 with previous version 1.0.3 dated 2024-06-11

Title: PaleoPhyloGeographic Modeling of Climate Niches and Species Distributions
Description: Reconstruction of paleoclimate niches using phylogenetic comparative methods and projection reconstructed niches onto paleoclimate maps. The user can specify various models of trait evolution or estimate the best fit model, include fossils, use one or multiple phylogenies for inference, and make animations of shifting suitable habitat through time. This model was first used in Lawing and Polly (2011), and further implemented in Lawing et al (2016) and Rivera et al (2020). Lawing and Polly (2011) <doi:10.1371/journal.pone.0028554> "Pleistocene climate, phylogeny and climate envelope models: An integrative approach to better understand species' response to climate change" Lawing et al (2016) <doi:10.1086/687202> "Including fossils in phylogenetic climate reconstructions: A deep time perspective on the climatic niche evolution and diversification of spiny lizards (Sceloporus)" Rivera et al (2020) <doi:10.1111/jbi.13915> "Reconstructing historical shifts in suitable habit [...truncated...]
Author: A. Michelle Lawing [aut, cph], Alexandra Howard [aut, cre], Maria-Aleja Hurtado-Materon [aut]
Maintainer: Alexandra Howard <alexandra.howard@ag.tamu.edu>

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Package junctions updated to version 2.1.1 with previous version 2.1.0 dated 2024-02-13

Title: The Breakdown of Genomic Ancestry Blocks in Hybrid Lineages
Description: Individual based simulations of hybridizing populations, where the accumulation of junctions is tracked. Furthermore, mathematical equations are provided to verify simulation outcomes. Both simulations and mathematical equations are based on Janzen (2018, <doi:10.1101/058107>) and Janzen (2022, <doi:10.1111/1755-0998.13519>).
Author: Thijs Janzen [aut, cre]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

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Package GaussSuppression updated to version 0.9.6 with previous version 0.9.5 dated 2025-02-07

Title: Tabular Data Suppression using Gaussian Elimination
Description: A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6>. A suggestion is to start by working with functions SuppressSmallCounts() and SuppressDominantCells(). These functions use primary suppression functions for the minimum frequency rule and the dominance rule, respectively. Novel functionality for suppression of disclosive cells is also included. General primary suppression functions can be supplied as input to the general working horse function, GaussSuppressionFromData(). Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Hege Boevelstad [ctb] , Vidar Norstein Klungre [rev] , Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package apollo updated to version 0.3.5 with previous version 0.3.4 dated 2024-10-01

Title: Tools for Choice Model Estimation and Application
Description: Choice models are a widely used technique across numerous scientific disciplines. The Apollo package is a very flexible tool for the estimation and application of choice models in R. Users are able to write their own model functions or use a mix of already available ones. Random heterogeneity, both continuous and discrete and at the level of individuals and choices, can be incorporated for all models. There is support for both standalone models and hybrid model structures. Both classical and Bayesian estimation is available, and multiple discrete continuous models are covered in addition to discrete choice. Multi-threading processing is supported for estimation and a large number of pre and post-estimation routines, including for computing posterior (individual-level) distributions are available. For examples, a manual, and a support forum, visit <http://www.ApolloChoiceModelling.com>. For more information on choice models see Train, K. (2009) <isbn:978-0-521-74738-7> and [...truncated...]
Author: Stephane Hess [aut, cre], David Palma [aut], Thomas Hancock [ctb]
Maintainer: Stephane Hess <S.Hess@leeds.ac.uk>

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Package RESTK updated to version 1.0.1 with previous version 1.0.0 dated 2023-08-22

Title: An Implementation of the RESTK Algorithm
Description: Implementation of the RESTK algorithm based on Markov's Inequality from Vilardell, Sergi, Serra, Isabel, Mezzetti, Enrico, Abella, Jaume, Cazorla, Francisco J. and Del Castillo, J. (2022). "Using Markov's Inequality with Power-Of-k Function for Probabilistic WCET Estimation". In 34th Euromicro Conference on Real-Time Systems (ECRTS 2022). Leibniz International Proceedings in Informatics (LIPIcs) 231 20:1-20:24. <doi:10.4230/LIPIcs.ECRTS.2022.20>. This work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 772773).
Author: Sergi Vilardell [aut, cre]
Maintainer: Sergi Vilardell <sergi.vilardell@bsc.es>

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Package hedgedrf updated to version 1.0.1 with previous version 0.0.1 dated 2024-07-14

Title: An Implementation of the Hedged Random Forest Algorithm
Description: This algorithm is described in detail in the paper "Hedging Forecast Combinations With an Application to the Random Forest" by Beck et al. (2024) <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5032102>. The package provides a function hedgedrf() that can be used to train a Hedged Random Forest model on a dataset, and a function predict.hedgedrf() that can be used to make predictions with the model.
Author: Elliot Beck [aut, cre]
Maintainer: Elliot Beck <elliotleeroy.beck@uzh.ch>

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Package mlr3 updated to version 0.23.0 with previous version 0.22.1 dated 2024-11-27

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Florian Pfisterer [aut] , Raphael Sonabend [aut] , Lennart Schneider [ctb] , [...truncated...]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package gemini.R updated to version 0.9.2 with previous version 0.8.0 dated 2025-02-05

Title: Interface for 'Google Gemini' API
Description: Provides a comprehensive interface for Google Gemini API, enabling users to access and utilize Gemini Large Language Model (LLM) functionalities directly from R. This package facilitates seamless integration with Google Gemini, allowing for advanced language processing, text generation, and other AI-driven capabilities within the R environment. For more information, please visit <https://ai.google.dev/docs/gemini_api_overview>.
Author: Jinhwan Kim [aut, cre, cph] , Maciej Nasinski [ctb]
Maintainer: Jinhwan Kim <hwanistic@gmail.com>

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Package wordvector updated to version 0.3.0 with previous version 0.2.0 dated 2025-01-07

Title: Word and Document Vector Models
Description: Create dense vector representation of words and documents using 'quanteda'. Currently implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.
Author: Kohei Watanabe [aut, cre, cph] , Jan Wijffels [aut] , BNOSAC [cph] , Max Fomichev [ctb, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package PUMP updated to version 1.0.4 with previous version 1.0.3 dated 2024-02-29

Title: Power Under Multiplicity Project
Description: Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <doi:10.18637/jss.v108.i06>.
Author: Luke Miratrix [aut, cre] , Kristen Hunter [aut] , Zarni Htet [aut], Kristin Porter [aut], MDRC [cph], Institute of Education Sciences [fnd]
Maintainer: Luke Miratrix <luke_miratrix@gse.harvard.edu>

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Package BayesChange updated to version 2.0.0 with previous version 1.1.2 dated 2025-02-21

Title: Bayesian Methods for Change Points Analysis
Description: Perform change points detection on univariate and multivariate time series according to the methods presented by Asael Fabian Martínez and Ramsés H. Mena (2014) <doi:10.1214/14-BA878> and Corradin, Danese and Ongaro (2022) <doi:10.1016/j.ijar.2021.12.019>. It also clusters different types of time dependent data with common change points, see "Model-based clustering of time-dependent observations with common structural changes" (Corradin,Danese,KhudaBukhsh and Ongaro, 2024) <doi:10.48550/arXiv.2410.09552> for details.
Author: Luca Danese [aut, cre, cph] , Riccardo Corradin [aut], Andrea Ongaro [aut]
Maintainer: Luca Danese <l.danese1@campus.unimib.it>

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Package diceplot updated to version 0.1.5 with previous version 0.1.4 dated 2024-11-20

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/>.
Author: Matthias Flotho [aut, cre]
Maintainer: Matthias Flotho <matthias.flotho@ccb.uni-saarland.de>

Diff between diceplot versions 0.1.4 dated 2024-11-20 and 0.1.5 dated 2025-03-12

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Package bspline updated to version 2.4.0 with previous version 2.3.0 dated 2025-02-05

Title: B-Spline Interpolation and Regression
Description: Build and use B-splines for interpolation and regression. In case of regression, equality constraints as well as monotonicity and/or positivity of B-spline weights can be imposed. Moreover, knot positions can be on regular grid or be part of optimized parameters too (in addition to the spline weights). For this end, 'bspline' is able to calculate Jacobian of basis vectors as function of knot positions. User is provided with functions calculating spline values at arbitrary points. These functions can be differentiated and integrated to obtain B-splines calculating derivatives/integrals at any point. B-splines of this package can simultaneously operate on a series of curves sharing the same set of knots. 'bspline' is written with concern about computing performance that's why the basis and Jacobian calculation is implemented in C++. The rest is implemented in R but without notable impact on computing speed.
Author: Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between bspline versions 2.3.0 dated 2025-02-05 and 2.4.0 dated 2025-03-12

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Package nloptr updated to version 2.2.0 with previous version 2.1.1 dated 2024-06-25

Title: R Interface to NLopt
Description: Solve optimization problems using an R interface to NLopt. NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. See <https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/> for more information on the available algorithms. Building from included sources requires 'CMake'. On Linux and 'macOS', if a suitable system build of NLopt (2.7.0 or later) is found, it is used; otherwise, it is built from included sources via 'CMake'. On Windows, NLopt is obtained through 'rwinlib' for 'R <= 4.1.x' or grabbed from the appropriate toolchain for 'R >= 4.2.0'.
Author: Jelmer Ypma [aut], Steven G. Johnson [aut] , Aymeric Stamm [ctb, cre] , Hans W. Borchers [ctb], Dirk Eddelbuettel [ctb], Brian Ripley [ctb] , Kurt Hornik [ctb] , Julien Chiquet [ctb], Avraham Adler [ctb] , Xiongtao Dai [ctb], Jeroen Ooms [ctb], Tomas [...truncated...]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>

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Package msigdbr updated to version 10.0.0 with previous version 7.5.1 dated 2022-03-30

Title: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
Description: Provides the 'Molecular Signatures Database' (MSigDB) gene sets typically used with the 'Gene Set Enrichment Analysis' (GSEA) software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>, Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>, Castanza et al. 2023 <doi:10.1038/s41592-023-02014-7>) as an R data frame. The package includes the human genes as listed in MSigDB as well as the corresponding symbols and IDs for frequently studied model organisms such as mouse, rat, pig, fly, and yeast.
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>

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 31 files changed, 122 insertions(+), 75 deletions(-)

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Package TukeyRegion (with last version 0.1.6.3) was removed from CRAN

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

2023-04-17 0.1.6.3

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Package tessellation (with last version 2.3.0) was removed from CRAN

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

2023-12-18 2.3.0
2023-10-30 2.2.0
2023-05-30 2.1.3
2023-03-08 2.1.2
2023-01-27 2.1.1
2022-04-05 2.1.0
2022-03-05 2.0.0
2022-01-11 1.0.0

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Package polyhedralCubature (with last version 1.1.0) was removed from CRAN

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

2023-11-22 1.1.0
2023-10-26 1.0.0

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Package spEDM updated to version 1.5 with previous version 1.4 dated 2025-02-10

Title: Spatial Empirical Dynamic Modeling
Description: Inferring causal associations in cross-sectional earth system data through empirical dynamic modeling (EDM), with extensions to convergent cross mapping from Sugihara et al. (2012) <doi:10.1126/science.1227079>, partial cross mapping as outlined in Leng et al. (2020) <doi:10.1038/s41467-020-16238-0>, and cross mapping cardinality as described in Tao et al. (2023)<doi:10.1016/j.fmre.2023.01.007>.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between spEDM versions 1.4 dated 2025-02-10 and 1.5 dated 2025-03-12

 spEDM-1.4/spEDM/src/IntersectionCardinality.cpp |only
 spEDM-1.4/spEDM/src/IntersectionCardinality.h   |only
 spEDM-1.5/spEDM/DESCRIPTION                     |    6 
 spEDM-1.5/spEDM/MD5                             |  118 +--
 spEDM-1.5/spEDM/NAMESPACE                       |    3 
 spEDM-1.5/spEDM/NEWS.md                         |  168 ++--
 spEDM-1.5/spEDM/R/RcppExports.R                 |  108 ++
 spEDM-1.5/spEDM/R/embedded.R                    |   11 
 spEDM-1.5/spEDM/R/formatoutput.R                |   73 +
 spEDM-1.5/spEDM/R/gccm.R                        |   51 -
 spEDM-1.5/spEDM/R/multiview.R                   |only
 spEDM-1.5/spEDM/R/simplex.R                     |   94 +-
 spEDM-1.5/spEDM/R/smap.R                        |   36 
 spEDM-1.5/spEDM/R/variable_check_prepare.R      |  105 ++
 spEDM-1.5/spEDM/R/xmapdf.R                      |   38 
 spEDM-1.5/spEDM/build/vignette.rds              |binary
 spEDM-1.5/spEDM/inst/doc/GCCM.Rmd               |  678 +++++++----------
 spEDM-1.5/spEDM/inst/doc/GCCM.html              |  565 +++++---------
 spEDM-1.5/spEDM/man/embedded.Rd                 |   10 
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 spEDM-1.5/spEDM/src/CppGridUtils.cpp            |  389 ++++++++-
 spEDM-1.5/spEDM/src/CppGridUtils.h              |   46 -
 spEDM-1.5/spEDM/src/CppLatticeUtils.cpp         |  720 ++++++++++++------
 spEDM-1.5/spEDM/src/CppLatticeUtils.h           |   46 -
 spEDM-1.5/spEDM/src/CppStats.cpp                |  489 ++++++++++--
 spEDM-1.5/spEDM/src/CppStats.h                  |   50 +
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 spEDM-1.5/spEDM/src/DeLongPlacements.h          |only
 spEDM-1.5/spEDM/src/Forecast4Grid.cpp           |   60 +
 spEDM-1.5/spEDM/src/Forecast4Grid.h             |   12 
 spEDM-1.5/spEDM/src/Forecast4Lattice.cpp        |   60 +
 spEDM-1.5/spEDM/src/Forecast4Lattice.h          |   12 
 spEDM-1.5/spEDM/src/ForecastExp.cpp             |  100 ++
 spEDM-1.5/spEDM/src/GCCM4Grid.cpp               |  719 ++++++++++++++++--
 spEDM-1.5/spEDM/src/GCCM4Grid.h                 |  144 +++
 spEDM-1.5/spEDM/src/GCCM4Lattice.cpp            |  249 ++++--
 spEDM-1.5/spEDM/src/GCCM4Lattice.h              |   12 
 spEDM-1.5/spEDM/src/GridExp.cpp                 |  647 +++++++++++++---
 spEDM-1.5/spEDM/src/HelperFuns.cpp              |  111 ++
 spEDM-1.5/spEDM/src/HelperFuns.h                |   36 
 spEDM-1.5/spEDM/src/LatticeExp.cpp              |  287 ++++++-
 spEDM-1.5/spEDM/src/MultiViewEmbedding.cpp      |only
 spEDM-1.5/spEDM/src/MultiViewEmbedding.h        |only
 spEDM-1.5/spEDM/src/RcppExports.cpp             |  383 +++++++--
 spEDM-1.5/spEDM/src/SCPCM4Grid.cpp              |  937 ++++++++++++++++++++----
 spEDM-1.5/spEDM/src/SCPCM4Grid.h                |  228 +++++
 spEDM-1.5/spEDM/src/SCPCM4Lattice.cpp           |  401 +++++-----
 spEDM-1.5/spEDM/src/SCPCM4Lattice.h             |   89 ++
 spEDM-1.5/spEDM/src/SMap.cpp                    |   64 +
 spEDM-1.5/spEDM/src/SMap.h                      |    6 
 spEDM-1.5/spEDM/src/SimplexProjection.cpp       |   64 +
 spEDM-1.5/spEDM/src/SimplexProjection.h         |    6 
 spEDM-1.5/spEDM/src/StatsExp.cpp                |  178 ++++
 spEDM-1.5/spEDM/src/spEDMDataStruct.h           |   18 
 spEDM-1.5/spEDM/vignettes/GCCM.Rmd              |  678 +++++++----------
 spEDM-1.5/spEDM/vignettes/GCCM.Rmd.orig         |  132 +--
 65 files changed, 6711 insertions(+), 2828 deletions(-)

More information about spEDM at CRAN
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