Thu, 15 Feb 2024

Package simStateSpace updated to version 1.2.0 with previous version 1.1.0 dated 2024-01-15

Title: Simulate Data from State Space Models
Description: Provides a streamlined and user-friendly framework for simulating data in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. For an introduction to state space models in social and behavioral sciences, refer to Chow, Ho, Hamaker, and Dolan (2010) <doi:10.1080/10705511003661553>.
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>

Diff between simStateSpace versions 1.1.0 dated 2024-01-15 and 1.2.0 dated 2024-02-15

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Package first updated to version 1.1 with previous version 1.0 dated 2024-01-10

Title: Factor Importance Ranking and Selection using Total Indices
Description: A model-independent factor importance ranking and selection procedure that is based on total Sobol' indices. Please see Huang and Joseph (2024) <arXiv:2401.00800>. This research is supported by U.S. National Science Foundation grants DMS-2310637 and DMREF-1921873.
Author: Chaofan Huang [aut, cre], V. Roshan Joseph [aut]
Maintainer: Chaofan Huang <chaofan.huang@gatech.edu>

Diff between first versions 1.0 dated 2024-01-10 and 1.1 dated 2024-02-15

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Package isocat updated to version 0.3.0 with previous version 0.2.6 dated 2020-07-03

Title: Isotope Origin Clustering and Assignment Tools
Description: This resource provides tools to create, compare, and post-process spatial isotope assignment models of animal origin. It generates probability-of-origin maps for individuals based on user-provided tissue and environment isotope values (e.g., as generated by IsoMAP, Bowen et al. [2013] <doi:10.1111/2041-210X.12147>) using the framework established in Bowen et al. (2010) <doi:10.1146/annurev-earth-040809-152429>). The package 'isocat' can then quantitatively compare and cluster these maps to group individuals by similar origin. It also includes techniques for applying four approaches (cumulative sum, odds ratio, quantile only, and quantile simulation) with which users can summarize geographic origins and probable distance traveled by individuals. Campbell et al. [2020] establishes several of the functions included in this package <doi:10.1515/ami-2020-0004>.
Author: Caitlin Campbell [aut, cre]
Maintainer: Caitlin Campbell <caitjcampbell@gmail.com>

Diff between isocat versions 0.2.6 dated 2020-07-03 and 0.3.0 dated 2024-02-15

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Package rvertnet updated to version 0.8.4 with previous version 0.8.3 dated 2024-02-13

Title: Search 'Vertnet', a 'Database' of Vertebrate Specimen Records
Description: Retrieve, map and summarize data from the 'VertNet.org' archives (<https://vertnet.org/>). Functions allow searching by many parameters, including 'taxonomic' names, places, and dates. In addition, there is an interface for conducting spatially delimited searches, and another for requesting large 'datasets' via email.
Author: Scott Chamberlain [aut, cph] , Chris Ray [ctb], Vijay Barve [ctb], Dave Slager [aut, cre, cph]
Maintainer: Dave Slager <slager@uw.edu>

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Package openxlsx2 updated to version 1.4 with previous version 1.3 dated 2024-01-12

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], Oliver Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package nebula updated to version 1.5.3 with previous version 1.4.2 dated 2023-07-05

Title: Negative Binomial Mixed Models Using Large-Sample Approximation for Differential Expression Analysis of ScRNA-Seq Data
Description: A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) <doi:10.1038/s42003-021-02146-6>.
Author: Liang He [aut, cre], Raghav Sharma [ctb]
Maintainer: Liang He <hyx520101@gmail.com>

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Package IncidencePrevalence updated to version 0.7.0 with previous version 0.6.1 dated 2024-02-09

Title: Estimate Incidence and Prevalence using the OMOP Common Data Model
Description: Calculate incidence and prevalence using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Incidence and prevalence can be estimated for the total population in a database or for a stratification cohort.
Author: Edward Burn [aut, cre] , Berta Raventos [aut] , Marti Catala [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Ger Inberg [ctb] , Kim Lopez [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package BayesDissolution updated to version 0.2.0 with previous version 0.1.0 dated 2022-09-21

Title: Bayesian Models for Dissolution Testing
Description: Fits Bayesian models (amongst others) to dissolution data sets that can be used for dissolution testing. The package was originally constructed to include only the Bayesian models outlined in Pourmohamad et al. (2022) <doi:10.1111/rssc.12535>. However, additional Bayesian and non-Bayesian models (based on bootstrapping and generalized pivotal quanties) have also been added. More models may be added over time.
Author: Tony Pourmohamad [aut, cre], Steven Novick [ctb]
Maintainer: Tony Pourmohamad <tpourmohamad@gmail.com>

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Package batchmix updated to version 2.0.1 with previous version 2.0.0 dated 2023-05-16

Title: Semi-Supervised Bayesian Mixture Models Incorporating Batch Correction
Description: Semi-supervised and unsupervised Bayesian mixture models that simultaneously infer the cluster/class structure and a batch correction. Densities available are the multivariate normal and the multivariate t. The model sampler is implemented in C++. This package is aimed at analysis of low-dimensional data generated across several batches. See Coleman et al. (2022) <doi:10.1101/2022.01.14.476352> for details of the model.
Author: Stephen Coleman [aut, cre], Paul Kirk [aut], Chris Wallace [aut]
Maintainer: Stephen Coleman <stcolema@tcd.ie>

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Package survivoR updated to version 2.3.1 with previous version 2.3.0 dated 2024-01-09

Title: Data from all Seasons of Survivor (US) TV Series in Tidy Format
Description: Several datasets which detail the results and events of each season of Survivor. This includes details on the cast, voting history, immunity and reward challenges, jury votes and viewers. This data is useful for practicing data wrangling, graph analytics and analysing how each season of Survivor played out. Includes 'ggplot2' scales and colour palettes for visualisation.
Author: Daniel Oehm [aut, cre], Carly Levitz [ctb], Dario Mavec [ctb]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

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Package geomander updated to version 2.3.0 with previous version 2.2.1 dated 2023-04-16

Title: Geographic Tools for Studying Gerrymandering
Description: A compilation of tools to complete common tasks for studying gerrymandering. This focuses on the geographic tool side of common problems, such as linking different levels of spatial units or estimating how to break up units. Functions exist for creating redistricting-focused data for the US.
Author: Christopher T. Kenny [aut, cre] , Cory McCartan [ctb]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>

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Package SAMtool updated to version 1.6.4 with previous version 1.6.3 dated 2023-11-18

Title: Stock Assessment Methods Toolkit
Description: Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform data-rich fisheries. 'SAMtool' provides a conditioning model, assessment models of varying complexity with standardized reporting, model-based management procedures, and diagnostic tools for evaluating assessments inside closed-loop simulation.
Author: Quang Huynh [aut, cre], Tom Carruthers [aut], Adrian Hordyk [aut]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package rfars updated to version 1.1.0 with previous version 0.3.0 dated 2023-05-05

Title: Download and Analyze Crash Data
Description: Download crash data from the National Highway Traffic Safety Administration and prepare it for research.
Author: Steve Jackson [aut, cre]
Maintainer: Steve Jackson <steve.jackson@toxcel.com>

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New package OpenMindat with initial version 1.0.0
Package: OpenMindat
Title: Quickly Retrieve Datasets from the 'mindat.org' API
Version: 1.0.0
Imports: httr (>= 1.4.4), jsonlite (>= 1.8.4), readxl (>= 1.4.3), utils, stringi, stringr, usethis
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Maintainer: Xiang Que <xiangq@uidaho.edu>
Description: 'Mindat' ('mindat.org') is one of the world's most widely used databases of mineral species and their distribution. Many scientists in mineralogy, geochemistry, petrology, and other Earth and planetary disciplines have been using the 'Mindat' data. Still, an open data service and the machine interface have never been fully established. To meet the overwhelming data needs, the 'Mindat' team has built an API (<https://api.mindat.org/schema/redoc/>) for data access.'OpenMindat' R package provides valuable functions to bridge the data highway, connecting users' data requirements to the 'Mindat' API server and assist with retrieval and initial processing to improve efficiency further and lower the barrier of data query and access to scientists. 'OpenMindat' provides friendly and extensible data retrieval functions, including the subjects of geomaterials (e.g., rocks, minerals, synonyms, variety, mixture, and commodity), localities, and the IMA (International Mineralogical Association) [...truncated...]
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/quexiang/OpenMindat, https://quexiang.github.io/OpenMindat/
BugReports: https://github.com/quexiang/OpenMindat/issues
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2024-02-14 17:36:53 UTC; xiangque
Author: Xiang Que [aut, cre] , Xiaogang Ma [aut]
Repository: CRAN
Date/Publication: 2024-02-15 20:20:02 UTC

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New package xegaGpGene with initial version 1.0.0.0
Package: xegaGpGene
Title: Genetic Operations for Grammar-Based Genetic Programming
Version: 1.0.0.0
Description: An implementation of the representation-dependent gene level operations of grammar-based genetic programming with genes which are derivation trees of a context-free grammar: Initialization of a gene with a complete random derivation tree, decoding of a derivation tree. Crossover is implemented by exchanging subtrees. Depth-bounds for the minimal and the maximal depth of the roots of the subtrees exchanged by crossover can be set. Mutation is implemented by replacing a subtree by a random subtree. The depth of the random subtree and the insertion node are configurable. For details, see Geyer-Schulz (1997, ISBN:978-3-7908-0830-X).
License: MIT + file LICENSE
URL: <https://github.com/ageyerschulz/xegaGpGene>
Encoding: UTF-8
Suggests: testthat
Imports: stats, xegaBNF, xegaDerivationTrees, xegaSelectGene
NeedsCompilation: no
Packaged: 2024-02-14 08:18:23 UTC; dj2333
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>
Repository: CRAN
Date/Publication: 2024-02-15 19:30:02 UTC

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Package torchvisionlib updated to version 0.5.0 with previous version 0.4.0 dated 2023-05-30

Title: Additional Operators for Image Models
Description: Implements additional operators for computer vision models, including operators necessary for image segmentation and object detection deep learning models.
Author: Daniel Falbel [aut, cre], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between torchvisionlib versions 0.4.0 dated 2023-05-30 and 0.5.0 dated 2024-02-15

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Package optimall updated to version 0.1.5 with previous version 0.1.4 dated 2024-01-12

Title: Allocate Samples Among Strata
Description: Functions for the design process of survey sampling, with specific tools for multi-wave and multi-phase designs. Perform optimum allocation using Neyman (1934) <doi:10.2307/2342192> or Wright (2012) <doi:10.1080/00031305.2012.733679> allocation, split strata based on quantiles or values of known variables, randomly select samples from strata, allocate sampling waves iteratively, and organize a complex survey design. Also includes a Shiny application for observing the effects of different strata splits.
Author: Jasper Yang [aut, cre], Pamela Shaw [aut], Bryan Shepherd [ctb], Thomas Lumley [ctb], Gustavo Amorim [rev]
Maintainer: Jasper Yang <jbyang@uw.edu>

Diff between optimall versions 0.1.4 dated 2024-01-12 and 0.1.5 dated 2024-02-15

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Package GenAI updated to version 0.2.0 with previous version 0.1.15 dated 2024-01-18

Title: Generative Artificial Intelligence
Description: Utilizing Generative Artificial Intelligence models like 'GPT-4' and 'Gemini Pro' as coding and writing assistants for 'R' users. Through these models, 'GenAI' offers a variety of functions, encompassing text generation, code optimization, natural language processing, chat, and image interpretation. The goal is to aid 'R' users in streamlining laborious coding and language processing tasks.
Author: Li Yuan [aut, cre]
Maintainer: Li Yuan <lyuan@gd.edu.kg>

Diff between GenAI versions 0.1.15 dated 2024-01-18 and 0.2.0 dated 2024-02-15

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Package bayesmeta updated to version 3.4 with previous version 3.3 dated 2023-06-27

Title: Bayesian Random-Effects Meta-Analysis and Meta-Regression
Description: A collection of functions allowing to derive the posterior distribution of the model parameters in random-effects meta-analysis or meta-regression, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, posterior predictive p-values, etc.; For more details, see also Roever C (2020) <doi:10.18637/jss.v093.i06>, or Roever C and Friede T (2022) <doi:10.1016/j.cmpb.2022.107303>.
Author: Christian Roever [aut, cre] , Tim Friede [ctb]
Maintainer: Christian Roever <christian.roever@med.uni-goettingen.de>

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Package RNifti updated to version 1.6.0 with previous version 1.5.1 dated 2023-11-28

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory image objects between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration and applies spatial transformations.
Author: Jon Clayden [cre, aut] , Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package heplots updated to version 1.6.2 with previous version 1.6.0 dated 2023-09-05

Title: Visualizing Hypothesis Tests in Multivariate Linear Models
Description: Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.
Author: Michael Friendly [aut, cre] , John Fox [aut] , Georges Monette [aut] , Phil Chalmers [ctb] , Duncan Murdoch [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package cpfa updated to version 1.1-2 with previous version 1.1-1 dated 2024-02-03

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one mode of a Parafac or Parafac2 model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, and regularized discriminant analysis. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Implements parallel computing via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Snodgress <snodg031@umn.edu>
Maintainer: Matthew A. Snodgress <snodg031@umn.edu>

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Package togglr updated to version 0.2 with previous version 0.1.99 dated 2022-07-11

Title: 'Toggl.com' Api for 'Rstudio'
Description: Use the <https://toggl.com> time tracker api through R.
Author: Vincent Guyader [aut, cre], ThinkR [cph, fnd]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

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Package myCRAN updated to version 1.1 with previous version 1.0 dated 2023-04-20

Title: Graph of Daily and Cumulative Downloads of your Packages
Description: Plot the daily and cumulative number of downloads of your packages. It is designed to be slightly more convenient than the several similar programs. If you want to run this each morning, you do not need to keep typing in the names of your packages. Also, this combines the daily and cumulative counts in one run, you do not need to run separate programs to get both types of information.
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg <barryz2013@gmail.com>

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Package funcharts updated to version 1.4.0 with previous version 1.3.2 dated 2023-09-05

Title: Functional Control Charts
Description: Provides functional control charts for statistical process monitoring of functional data, using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507> and Centofanti et al. (2021) <doi:10.1080/00401706.2020.1753581>. The package is thoroughly illustrated in the paper of Capezza et al (2023) <doi:10.1080/00224065.2023.2219012>.
Author: Christian Capezza [cre, aut], Fabio Centofanti [aut], Antonio Lepore [aut], Alessandra Menafoglio [aut], Biagio Palumbo [aut], Simone Vantini [aut]
Maintainer: Christian Capezza <christian.capezza@unina.it>

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Package DepLogo updated to version 1.2.1 with previous version 1.2 dated 2021-04-16

Title: Dependency Logo
Description: Plots dependency logos from a set of aligned input sequences.
Author: Jan Grau [aut, cre], Jens Keilwagen [aut], Martin Nettling [aut]
Maintainer: Jan Grau <grau@informatik.uni-halle.de>

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New package survivalSL with initial version 0.92
Package: survivalSL
Title: Super Learner for Survival Prediction from Censored Data
Version: 0.92
Depends: R (>= 4.0.0), splines, survival, reticulate
Imports: date, graphics, MASS, glmnet, caret, flexsurv, randomForestSRC, survivalmodels, hdnom, glmnetUtils, dplyr, rpart, methods
Description: Several functions and S3 methods to construct a super learner in the presence of censored times-to-event and to evaluate its prognostic capacities.
License: GPL (>= 2)
LazyLoad: yes
NeedsCompilation: no
BugReports: https://github.com/foucher-y/survivalSL/issues
Packaged: 2024-02-15 13:35:17 UTC; foucher-y
Author: Yohann Foucher [aut, cre] , Camille Sabathe [aut]
Maintainer: Yohann Foucher <yohann.foucher@univ-poitiers.fr>
Repository: CRAN
Date/Publication: 2024-02-15 15:20:02 UTC

More information about survivalSL at CRAN
Permanent link

Package holiglm updated to version 1.0.0 with previous version 0.2.6 dated 2023-06-27

Title: Holistic Generalized Linear Models
Description: Holistic generalized linear models (HGLMs) extend generalized linear models (GLMs) by enabling the possibility to add further constraints to the model. The 'holiglm' package simplifies estimating HGLMs using convex optimization. Additional information about the package can be found in the reference manual, the 'README' and the accompanying paper <doi:10.18637/jss.v108.i07>.
Author: Benjamin Schwendinger [aut, cre], Florian Schwendinger [aut], Laura Vana [aut]
Maintainer: Benjamin Schwendinger <benjaminschwe@gmail.com>

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Package grandR updated to version 0.2.5 with previous version 0.2.2 dated 2023-04-20

Title: Comprehensive Analysis of Nucleotide Conversion Sequencing Data
Description: Nucleotide conversion sequencing experiments have been developed to add a temporal dimension to RNA-seq and single-cell RNA-seq. Such experiments require specialized tools for primary processing such as GRAND-SLAM, (see 'Jürges et al' <doi:10.1093/bioinformatics/bty256>) and specialized tools for downstream analyses. 'grandR' provides a comprehensive toolbox for quality control, kinetic modeling, differential gene expression analysis and visualization of such data.
Author: Florian Erhard [aut, cre] , Teresa Rummel [ctb], Lygeri Sakellaridi [ctb], Kevin Berg [ctb]
Maintainer: Florian Erhard <Florian.Erhard@informatik.uni-regensburg.de>

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Package DoubleML updated to version 1.0.0 with previous version 0.5.3 dated 2023-03-31

Title: Double Machine Learning in R
Description: Implementation of the double/debiased machine learning framework of Chernozhukov et al. (2018) <doi:10.1111/ectj.12097> for partially linear regression models, partially linear instrumental variable regression models, interactive regression models and interactive instrumental variable regression models. 'DoubleML' allows estimation of the nuisance parts in these models by machine learning methods and computation of the Neyman orthogonal score functions. 'DoubleML' is built on top of 'mlr3' and the 'mlr3' ecosystem. The object-oriented implementation of 'DoubleML' based on the 'R6' package is very flexible. More information available in the publication in the Journal of Statistical Software: <doi:10.18637/jss.v108.i03>.
Author: Philipp Bach [aut, cre], Victor Chernozhukov [aut], Malte S. Kurz [aut], Martin Spindler [aut], Klaassen Sven [aut]
Maintainer: Philipp Bach <philipp.bach@uni-hamburg.de>

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Package cpr updated to version 0.4.0 with previous version 0.3.0 dated 2023-11-29

Title: Control Polygon Reduction
Description: Implementation of the Control Polygon Reduction and Control Net Reduction methods for finding parsimonious B-spline regression models.
Author: Peter DeWitt [aut, cre] , Samantha MaWhinney [ths], Nichole Carlson [ths]
Maintainer: Peter DeWitt <dewittpe@gmail.com>

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Package V8 updated to version 4.4.2 with previous version 4.4.1 dated 2023-12-04

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8 <https://v8.dev>: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] , Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package slouch updated to version 2.1.5 with previous version 2.1.4 dated 2020-02-21

Title: Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses
Description: An implementation of a phylogenetic comparative method. It can fit univariate among-species Ornstein-Uhlenbeck models of phenotypic trait evolution, where the trait evolves towards a primary optimum. The optimum can be modelled as a single parameter, as multiple discrete regimes on the phylogenetic tree, and/or with continuous covariates. See also Hansen (1997) <doi:10.2307/2411186>, Butler & King (2004) <doi:10.1086/426002>, Hansen et al. (2008) <doi:10.1111/j.1558-5646.2008.00412.x>.
Author: Bjoern Tore Kopperud [aut, cre], Jason Pienaar [aut], Kjetil Lysne Voje [aut], Steven Hecht Orzack [aut], Thomas F. Hansen [aut], Mark Grabowski [ctb]
Maintainer: Bjoern Tore Kopperud <kopperud@protonmail.com>

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Package lcda updated to version 0.3.2 with previous version 0.3.1 dated 2022-03-11

Title: Latent Class Discriminant Analysis
Description: Providing a method for Local Discrimination via Latent Class Models. The approach is described in <https://www.r-project.org/conferences/useR-2009/abstracts/pdf/Bucker.pdf>.
Author: Michael Buecker
Maintainer: Michael Buecker <michael.buecker@fh-muenster.de>

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Package rkeops (with last version 2.2.2) was removed from CRAN

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

2024-02-12 2.2.2
2021-02-17 1.4.2.2
2021-02-16 1.4.2
2020-09-04 1.4.1.1
2020-05-25 1.4.1

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Package WCE updated to version 1.0.3 with previous version 1.0.2 dated 2018-08-08

Title: Weighted Cumulative Exposure Models
Description: A flexible method for modeling cumulative effects of time-varying exposures, weighted according to their relative proximity in time, and represented by time-dependent covariates. The current implementation estimates the weight function in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines.
Author: Marie-Pierre Sylvestre [aut, cre] , Marie-Eve Beauchamp [ctb], Ryan Patrick Kyle [ctb], Michal Abrahamowicz [ctb]
Maintainer: Marie-Pierre Sylvestre <marie-pierre.sylvestre@umontreal.ca>

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Package seacarb updated to version 3.3.3 with previous version 3.3.2 dated 2023-05-21

Title: Seawater Carbonate Chemistry
Description: Calculates parameters of the seawater carbonate system and assists the design of ocean acidification perturbation experiments.
Author: Jean-Pierre Gattuso [aut, cre, cph], Jean-Marie Epitalon [aut], Heloise Lavigne [aut], James Orr [aut], Bernard Gentili [ctb], Mathilde Hagens [ctb], Andreas Hofmann [ctb], Jens-Daniel Mueller [ctb], Aurelien Proye [ctb], James Rae [ctb], Karline Soe [...truncated...]
Maintainer: Jean-Pierre Gattuso <jean-pierre.gattuso@imev-mer.fr>

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Package multid updated to version 1.0.0 with previous version 0.9.0 dated 2024-01-16

Title: Multivariate Difference Between Two Groups
Description: Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach. See Lönnqvist & Ilmarinen (2021) <doi:10.1007/s11109-021-09681-2> and Ilmarinen et al. (2023) <doi:10.1177/08902070221088155>. Includes tools that help in understanding difference score reliability, predictions of difference score variables, conditional intra-class correlations, and heterogeneity of variance estimates. Package development was supported by the Academy of Finland research grant 338891.
Author: Ville-Juhani Ilmarinen [aut, cre]
Maintainer: Ville-Juhani Ilmarinen <vj.ilmarinen@gmail.com>

Diff between multid versions 0.9.0 dated 2024-01-16 and 1.0.0 dated 2024-02-15

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Package huxtable updated to version 5.5.6 with previous version 5.5.5 dated 2024-02-08

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', and 'PowerPoint'. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package ASV updated to version 1.1.4 with previous version 1.1.2 dated 2024-01-19

Title: Stochastic Volatility Models with or without Leverage
Description: The efficient Markov chain Monte Carlo estimation of stochastic volatility models with and without leverage (asymmetric and symmetric stochastic volatility models). Further, it computes the logarithm of the likelihood given parameters using particle filters.
Author: Yasuhiro Omori [aut, cre], Ryuji Hashimoto [ctr]
Maintainer: Yasuhiro Omori <omori.yasuhiro@gmail.com>

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Package eurlex (with last version 0.4.6) was removed from CRAN

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

2023-09-08 0.4.6
2023-08-21 0.4.5
2022-11-20 0.4.4

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Package tgstat updated to version 2.3.27 with previous version 2.3.25 dated 2023-11-29

Title: Amos Tanay's Group High Performance Statistical Utilities
Description: A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).
Author: Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package palasso updated to version 0.0.9 with previous version 0.0.8 dated 2021-04-19

Title: Paired Lasso Regression
Description: Implements sparse regression with paired covariates (Rauschenberger et al. 2020 <doi:10.1007/s11634-019-00375-6>). For the optional shrinkage, install ashr (<https://github.com/stephens999/ashr>) and CorShrink (<https://github.com/kkdey/CorShrink>) from GitHub (see README).
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

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Package CompAREdesign updated to version 2.3.1 with previous version 2.2 dated 2022-10-02

Title: Statistical Functions for the Design of Studies with Composite Endpoints
Description: It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. It also calculates the expected effect and the probability of observing the composite endpoint, among others. The methodology can be found in Bofill & Gómez (2019) <doi:10.1002/sim.8092> and Gómez & Lagakos (2013) <doi:10.1002/sim.5547>.
Author: Marta Bofill Roig [aut, cre], Jordi Cortes Martinez [aut], Guadalupe Gomez Melis [ctb]
Maintainer: Marta Bofill Roig <marta.bofillroig@meduniwien.ac.at>

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Package targets updated to version 1.5.1 with previous version 1.4.1 dated 2024-01-09

Title: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Description: Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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More information about targets at CRAN
Permanent link

Package ProTrackR updated to version 0.4.3 with previous version 0.3.8 dated 2023-08-22

Title: Manipulate and Play 'ProTracker' Modules
Description: 'ProTracker' is a popular music tracker to sequence music on a Commodore Amiga machine. This package offers the opportunity to import, export, manipulate and play 'ProTracker' module files. Even though the file format could be considered archaic, it still remains popular to this date. This package intends to contribute to this popularity and therewith keeping the legacy of 'ProTracker' and the Commodore Amiga alive.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between ProTrackR versions 0.3.8 dated 2023-08-22 and 0.4.3 dated 2024-02-15

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Package genetic.algo.optimizeR updated to version 0.2.6 with previous version 0.2.5 dated 2024-02-14

Title: Genetic Algorithm Optimization
Description: Genetic algorithm are a class of optimization algorithms inspired by the process of natural selection and genetics. This package is for learning purposes and allows users to optimize various functions or parameters by mimicking biological evolution processes such as selection, crossover, and mutation. Ideal for tasks like machine learning parameter tuning, mathematical function optimization, and solving combinatorial problems.
Author: Dany Mukesha [aut, cre]
Maintainer: Dany Mukesha <danymukesha@gmail.com>

Diff between genetic.algo.optimizeR versions 0.2.5 dated 2024-02-14 and 0.2.6 dated 2024-02-15

 DESCRIPTION                          |    6 +++---
 MD5                                  |    6 +++---
 inst/doc/introduction.html           |   10 +++++-----
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 4 files changed, 11 insertions(+), 18 deletions(-)

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Package sportyR updated to version 2.2.2 with previous version 2.2.1 dated 2023-06-15

Title: Plot Scaled 'ggplot' Representations of Sports Playing Surfaces
Description: Create scaled 'ggplot' representations of playing surfaces. Playing surfaces are drawn pursuant to rule-book specifications. This package should be used as a baseline plot for displaying any type of tracking data.
Author: Ross Drucker [aut, cre]
Maintainer: Ross Drucker <ross.a.drucker@gmail.com>

Diff between sportyR versions 2.2.1 dated 2023-06-15 and 2.2.2 dated 2024-02-15

 DESCRIPTION                               |   15 +--
 MD5                                       |   46 +++++-----
 NEWS.md                                   |    7 +
 R/features-basketball.R                   |    8 -
 R/features-football.R                     |    4 
 R/features-hockey.R                       |    2 
 R/features-lacrosse.R                     |    7 -
 R/geom-curling.R                          |   14 +--
 R/geom-hockey.R                           |   66 +++++++++------
 R/plot-helpers.R                          |    4 
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 inst/doc/customize-plot.html              |  132 +++++++++++++++---------------
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 24 files changed, 366 insertions(+), 315 deletions(-)

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Package RestoreNet updated to version 1.0.1 with previous version 1.0 dated 2022-09-20

Title: Random-Effects Stochastic Reaction Networks
Description: A random-effects stochastic model that allows quick detection of clonal dominance events from clonal tracking data collected in gene therapy studies. Starting from the Ito-type equation describing the dynamics of cells duplication, death and differentiation at clonal level, we first considered its local linear approximation as the base model. The parameters of the base model, which are inferred using a maximum likelihood approach, are assumed to be shared across the clones. Although this assumption makes inference easier, in some cases it can be too restrictive and does not take into account possible scenarios of clonal dominance. Therefore we extended the base model by introducing random effects for the clones. In this extended formulation the dynamic parameters are estimated using a tailor-made expectation maximization algorithm. Further details on the methods can be found in L. Del Core et al., (2022) <doi:10.1101/2022.05.31.494100>.
Author: Luca Del Core [aut, cre, cph] , Marco Grzegorczyk [aut, ths] , Ernst Wit [aut, ths]
Maintainer: Luca Del Core <l.del.core@rug.nl>

Diff between RestoreNet versions 1.0 dated 2022-09-20 and 1.0.1 dated 2024-02-15

 DESCRIPTION             |    8 +-
 MD5                     |   22 +++---
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 12 files changed, 199 insertions(+), 138 deletions(-)

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Package tsfgrnn updated to version 1.0.5 with previous version 1.0.4 dated 2023-03-24

Title: Time Series Forecasting Using GRNN
Description: A general regression neural network (GRNN) is a variant of a Radial Basis Function Network characterized by a fast single-pass learning. 'tsfgrnn' allows you to forecast time series using a GRNN model Francisco Martinez et al. (2019) <doi:10.1007/978-3-030-20521-8_17> and Francisco Martinez et al. (2022) <doi:10.1016/j.neucom.2021.12.028>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. You can consult and plot how the prediction was done. It is also possible to assess the forecasting accuracy of the model using rolling origin evaluation.
Author: Maria Pilar Frias-Bustamante [aut], Ana Maria Martinez-Rodriguez [aut], Antonio Conde-Sanchez [aut], Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

Diff between tsfgrnn versions 1.0.4 dated 2023-03-24 and 1.0.5 dated 2024-02-15

 DESCRIPTION           |    6 -
 MD5                   |   12 +-
 NEWS.md               |    4 
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 7 files changed, 173 insertions(+), 166 deletions(-)

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Package daff updated to version 1.1.1 with previous version 1.0.1 dated 2023-10-08

Title: Diff, Patch and Merge for Data.frames
Description: Diff, patch and merge for data frames. Document changes in data sets and use them to apply patches. Changes to data can be made visible by using render_diff(). The 'V8' package is used to wrap the 'daff.js' 'JavaScript' library which is included in the package.
Author: Paul Fitzpatrick [aut] , Edwin de Jonge [aut, cre] , Gregory R. Warnes [aut]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

Diff between daff versions 1.0.1 dated 2023-10-08 and 1.1.1 dated 2024-02-15

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 7 files changed, 15 insertions(+), 9 deletions(-)

More information about daff at CRAN
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Package modelbased updated to version 0.8.7 with previous version 0.8.6 dated 2023-01-13

Title: Estimation of Model-Based Predictions, Contrasts and Means
Description: Implements a general interface for model-based estimations for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), used in the computation of marginal means, contrast analysis and predictions.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between modelbased versions 0.8.6 dated 2023-01-13 and 0.8.7 dated 2024-02-15

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 modelbased-0.8.7/modelbased/NEWS.md                                        |    2 
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 modelbased-0.8.7/modelbased/README.md                                      |    6 
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2024-02-01 2024.1.31
2023-08-31 2023.8.24
2023-05-01 2023.5.1
2020-08-10 2020.8.6
2020-05-14 2020.5.13
2020-03-25 2020.3.23
2020-03-04 2020.2.27
2020-01-31 2020.1.16
2019-10-28 2019.10.19
2019-09-23 2019.9.16

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Package lm.br (with last version 2.9.6) was removed from CRAN

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

2022-11-02 2.9.6
2022-09-29 2.9.5
2021-10-19 2.9.4
2017-04-27 2.9.3
2016-01-29 2.8
2015-07-14 2.7
2014-11-14 2.6
2014-02-20 2.5
2013-10-29 2.4
2013-10-24 2.2

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Package SKFCPD (with last version 0.2.3) was removed from CRAN

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

2024-02-01 0.2.3

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Package fbst updated to version 2.2 with previous version 2.1 dated 2022-11-10

Title: The Full Bayesian Evidence Test, Full Bayesian Significance Test and the e-Value
Description: Provides access to a range of functions for computing and visualizing the Full Bayesian Significance Test (FBST) and the e-value for testing a sharp hypothesis against its alternative, and the Full Bayesian Evidence Test (FBET) and the (generalized) Bayesian evidence value for testing a composite (or interval) hypothesis against its alternative. The methods are widely applicable as long as a posterior MCMC sample is available.
Author: Riko Kelter
Maintainer: Riko Kelter <riko_k@gmx.de>

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Package brms.mmrm updated to version 0.1.0 with previous version 0.0.2 dated 2023-08-18

Title: Bayesian MMRMs using 'brms'
Description: The mixed model for repeated measures (MMRM) is a popular model for longitudinal clinical trial data with continuous endpoints, and 'brms' is a powerful and versatile package for fitting Bayesian regression models. The 'brms.mmrm' R package leverages 'brms' to run MMRMs, and it supports a simplified interfaced to reduce difficulty and align with the best practices of the life sciences. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>, Mallinckrodt (2008) <doi:10.1177/009286150804200402>.
Author: William Michael Landau [aut, cre] , Kevin Kunzmann [aut] , Yoni Sidi [aut], Christian Stock [aut] , Eli Lilly and Company [cph, fnd], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package geoR updated to version 1.9-4 with previous version 1.9-3 dated 2023-12-11

Title: Analysis of Geostatistical Data
Description: Geostatistical analysis including variogram-based, likelihood-based and Bayesian methods. Software companion for Diggle and Ribeiro (2007) <doi:10.1007/978-0-387-48536-2>.
Author: Paulo Justiniano Ribeiro Jr [aut, cre] <paulojus@ufpr.br>, Peter Diggle [aut, cre] <p.diggle@lancaster.ac.uk>, Ole Christensen [ctb], Martin Schlather [ctb], Roger Bivand [ctb], Brian Ripley [ctb]
Maintainer: Paulo Justiniano Ribeiro Jr <paulojus@ufpr.br>

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Package bayesplot updated to version 1.11.1 with previous version 1.11.0 dated 2024-01-30

Title: Plotting for Bayesian Models
Description: Plotting functions for posterior analysis, MCMC diagnostics, prior and posterior predictive checks, and other visualizations to support the applied Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and Gelman (2019) <doi:10.1111/rssa.12378>. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
Author: Jonah Gabry [aut, cre], Tristan Mahr [aut], Paul-Christian Buerkner [ctb], Martin Modrak [ctb], Malcolm Barrett [ctb], Frank Weber [ctb], Eduardo Coronado Sroka [ctb], Teemu Sailynoja [ctb], Aki Vehtari [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

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