Tue, 17 Sep 2024

Package ssw updated to version 0.2.1 with previous version 0.2.0 dated 2024-09-05

Title: Striped Smith-Waterman Algorithm for Sequence Alignment using SIMD
Description: Provides an R interface for 'SSW' (Striped Smith-Waterman) via its 'Python' binding 'ssw-py'. 'SSW' is a fast 'C' and 'C++' implementation of the Smith-Waterman algorithm for pairwise sequence alignment using Single-Instruction-Multiple-Data (SIMD) instructions. 'SSW' enhances the standard algorithm by efficiently returning alignment information and suboptimal alignment scores. The core 'SSW' library offers performance improvements for various bioinformatics tasks, including protein database searches, short-read alignments, primary and split-read mapping, structural variant detection, and read-overlap graph generation. These features make 'SSW' particularly useful for genomic applications. Zhao et al. (2013) <doi:10.1371/journal.pone.0082138> developed the original 'C' and 'C++' implementation.
Author: Nan Xiao [aut, cre, cph]
Maintainer: Nan Xiao <me@nanx.me>

Diff between ssw versions 0.2.0 dated 2024-09-05 and 0.2.1 dated 2024-09-17

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Package simer updated to version 0.9.0.5 with previous version 0.9.0.4 dated 2023-11-29

Title: Data Simulation for Life Science and Breeding
Description: Data simulator including genotype, phenotype, pedigree, selection and reproduction in R. It simulates most of reproduction process of animals or plants and provides data for GS (Genomic Selection), GWAS (Genome-Wide Association Study), and Breeding. For ADI model, please see Kao C and Zeng Z (2002) <doi:10.1093/genetics/160.3.1243>. For build.cov, please see B. D. Ripley (1987) <ISBN:9780470009604>.
Author: Dong Yin [aut], Xuanning Zhang [aut], Lilin Yin [aut], Haohao Zhang [aut], Zhenshuang Tang [aut], Jingya Xu [aut], Xiaohui Yuan [aut], Xiang Zhou [aut], Xinyun Li [aut], Shuhong Zhao [aut], Xiaolei Liu [cre, aut, cph]
Maintainer: Xiaolei Liu <xll198708@gmail.com>

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Package healthyverse updated to version 1.1.0 with previous version 1.0.4 dated 2023-04-18

Title: Easily Install and Load the 'healthyverse'
Description: The 'healthyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'healthyverse' packages in a single step.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package fpp3 updated to version 1.0.1 with previous version 1.0.0 dated 2024-06-25

Title: Data for "Forecasting: Principles and Practice" (3rd Edition)
Description: All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos <https://OTexts.com/fpp3/>. All packages required to run the examples are also loaded. Additional data sets not used in the book are also included.
Author: Rob Hyndman [aut, cre, cph] , George Athanasopoulos [ctb], Mitchell O'Hara-Wild [ctb], Nuwani Palihawadana [ctb], Shanika Wickramasuriya [ctb], RStudio [cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package PreciseSums updated to version 0.7 with previous version 0.6 dated 2023-04-21

Title: Accurate Floating Point Sums and Products
Description: Most of the time floating point arithmetic does approximately the right thing. When adding sums or having products of numbers that greatly differ in magnitude, the floating point arithmetic may be incorrect. This package implements the Kahan (1965) sum <doi:10.1145/363707.363723>, Neumaier (1974) sum <doi:10.1002/zamm.19740540106>, pairwise-sum (adapted from 'NumPy', See Castaldo (2008) <doi:10.1137/070679946> for a discussion of accuracy), and arbitrary precision sum (adapted from the fsum in 'Python' ; Shewchuk (1997) <https://people.eecs.berkeley.edu/~jrs/papers/robustr.pdf>). In addition, products are changed to long double precision for accuracy, or changed into a log-sum for accuracy.
Author: Matthew Fidler [aut, cre, cph], Raymond Hettinger [cph, aut], Jonathan Shewchuk [cph, aut], Julian Taylor [cph, aut], Nathaniel Smith [cph, aut], NumPy Team [cph], Python Team [cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package pkgdown updated to version 2.1.1 with previous version 2.1.0 dated 2024-07-06

Title: Make Static HTML Documentation for a Package
Description: Generate an attractive and useful website from a source package. 'pkgdown' converts your documentation, vignettes, 'README', and more to 'HTML' making it easy to share information about your package online.
Author: Hadley Wickham [aut, cre] , Jay Hesselberth [aut] , Maelle Salmon [aut] , Olivier Roy [aut], Salim Brueggemann [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package n1qn1 updated to version 6.0.1-12 with previous version 6.0.1-11 dated 2022-10-18

Title: Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS Optimization
Description: Provides 'Scilab' 'n1qn1'. This takes more memory than traditional L-BFGS. The n1qn1 routine is useful since it allows prespecification of a Hessian. If the Hessian is near enough the truth in optimization it can speed up the optimization problem. The algorithm is described in the 'Scilab' optimization documentation located at <https://www.scilab.org/sites/default/files/optimization_in_scilab.pdf>. This version uses manually modified code from 'f2c' to make this a C only binary.
Author: Matthew Fidler [aut, cre], Wenping Wang [aut], Claude Lemarechal [aut, ctb], Joseph Bonnans [ctb], Jean-Charles Gilbert [ctb], Claudia Sagastizabal [ctb], Stephen L. Campbell, [ctb], Jean-Philippe Chancelier [ctb], Ramine Nikoukhah [ctb], Dirk Eddelb [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package miic updated to version 2.0.3 with previous version 1.5.3 dated 2020-10-13

Title: Learning Causal or Non-Causal Graphical Models Using Information Theory
Description: Multivariate Information-based Inductive Causation, better known by its acronym MIIC, is a causal discovery method, based on information theory principles, which learns a large class of causal or non-causal graphical models from purely observational data, while including the effects of unobserved latent variables. Starting from a complete graph, the method iteratively removes dispensable edges, by uncovering significant information contributions from indirect paths, and assesses edge-specific confidences from randomization of available data. The remaining edges are then oriented based on the signature of causality in observational data. The recent more interpretable MIIC extension (iMIIC) further distinguishes genuine causes from putative and latent causal effects, while scaling to very large datasets (hundreds of thousands of samples). Since the version 2.0, MIIC also includes a temporal mode (tMIIC) to learn temporal causal graphs from stationary time series data. MIIC has been appli [...truncated...]
Author: Franck Simon [aut, cre], Tiziana Tocci [aut], Nikita Lagrange [aut], Orianne Debeaupuis [aut], Louise Dupuis [aut], Vincent Cabeli [aut], Honghao Li [aut], Marcel Ribeiro Dantas [aut], Nadir Sella [aut], Louis Verny [aut], Severine Affeldt [aut], Her [...truncated...]
Maintainer: Franck Simon <franck.simon@curie.fr>

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Package lbfgsb3c updated to version 2024-3.5 with previous version 2024-3.4 dated 2024-04-04

Title: Limited Memory BFGS Minimizer with Bounds on Parameters with optim() 'C' Interface
Description: Interfacing to Nocedal et al. L-BFGS-B.3.0 (See <http://users.iems.northwestern.edu/~nocedal/lbfgsb.html>) limited memory BFGS minimizer with bounds on parameters. This is a fork of 'lbfgsb3'. This registers a 'R' compatible 'C' interface to L-BFGS-B.3.0 that uses the same function types and optimization as the optim() function (see writing 'R' extensions and source for details). This package also adds more stopping criteria as well as allowing the adjustment of more tolerances.
Author: Matthew L Fidler [aut, cre] , John C Nash [aut], Ciyou Zhu [aut], Richard Byrd [aut], Jorge Nocedal [aut], Jose Luis Morales [aut]
Maintainer: Matthew L Fidler <matthew.fidler@gmail.com>

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Package evaluate updated to version 1.0.0 with previous version 0.24.0 dated 2024-06-10

Title: Parsing and Evaluation Tools that Provide More Details than the Default
Description: Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Author: Hadley Wickham [aut, cre], Yihui Xie [aut] , Michael Lawrence [ctb], Thomas Kluyver [ctb], Jeroen Ooms [ctb], Barret Schloerke [ctb], Adam Ryczkowski [ctb], Hiroaki Yutani [ctb], Michel Lang [ctb], Karolis Koncevicius [ctb], Posit Software, PBC [cph, [...truncated...]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package dtmapi updated to version 0.0.2 with previous version 0.0.1 dated 2024-09-16

Title: Fetching Data from the 'Displacement Tracking Matrix'
Description: Allows humanitarian community, academia, media, government, and non-governmental organizations to utilize the data collected by the 'Displacement Tracking Matrix' (<https://dtm.iom.int>), a unit in the International Organization for Migration. This also provides non-sensitive Internally Displaced Person figures, aggregated at the country, Admin 1 (states, provinces, or equivalent), and Admin 2 (smaller administrative areas) levels.
Author: Luong Bang Tran [aut, cre]
Maintainer: Luong Bang Tran <lutran@iom.int>

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Package dparser updated to version 1.3.1-12 with previous version 1.3.1-11 dated 2023-12-07

Title: Port of 'Dparser' Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <https://aclanthology.org/P84-1073.pdf>). The original 'dparser' package documentation can be found at <https://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like rxode2's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate them to R code. To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use #include <dparser.h>. This also provides a R-based port of the make_dparser <https://dparser.sourceforge.net/d/make_dparser.cat> command called mkdparser(). Addition [...truncated...]
Author: Matthew Fidler [aut, cre], John Plevyak [aut, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package BAS updated to version 1.7.3 with previous version 1.7.2 dated 2024-09-16

Title: Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling
Description: Package for Bayesian Variable Selection and Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang et al (2008) <DOI:10.1198/016214507000001337> for linear models or mixtures of g-priors from Li and Clyde (2019) <DOI:10.1080/01621459.2018.1469992> in generalized linear models. Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g. Sampling probabilities may be updated based on the sampled models using sampling w/out replacement or an efficient MCMC algorithm which samples models using a tree structure of the model space as an efficient hash table. See Clyde, Ghosh and Littman (2010) <DOI:10.1198/jcgs.2010.09049> for details on the sampling algorithms. Uniform prior [...truncated...]
Author: Merlise Clyde [aut, cre, cph] , Michael Littman [ctb], Joyee Ghosh [ctb], Yingbo Li [ctb], Betsy Bersson [ctb], Don van de Bergh [ctb], Quanli Wang [ctb]
Maintainer: Merlise Clyde <clyde@duke.edu>

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Package aster2 updated to version 0.3-2 with previous version 0.3 dated 2017-03-26

Title: Aster Models
Description: Aster models are exponential family regression models for life history analysis. They are like generalized linear models except that elements of the response vector can have different families (e. g., some Bernoulli, some Poisson, some zero-truncated Poisson, some normal) and can be dependent, the dependence indicated by a graphical structure. Discrete time survival analysis, zero-inflated Poisson regression, and generalized linear models that are exponential family (e. g., logistic regression and Poisson regression with log link) are special cases. Main use is for data in which there is survival over discrete time periods and there is additional data about what happens conditional on survival (e. g., number of offspring). Uses the exponential family canonical parameterization (aster transform of usual parameterization). Unlike the aster package, this package does dependence groups (nodes of the graph need not be conditionally independent given their predecessor node), including mult [...truncated...]
Author: Charles J. Geyer [aut, cre]
Maintainer: Charles J. Geyer <geyer@umn.edu>

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Package fda updated to version 6.2.0 with previous version 6.1.8 dated 2024-03-08

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

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Package tidygate updated to version 1.0.14 with previous version 1.0.13 dated 2024-07-12

Title: Interactively Gate Points
Description: Interactively gate points on a scatter plot. Interactively drawn gates are recorded and can be applied programmatically to reproduce results exactly. Programmatic gating is based on the package gatepoints by Wajid Jawaid (who is also an author of this package).
Author: Stefano Mangiola [aut, cre], Wajid Jawaid [ctb], William Hutchison [aut]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>

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Package PoissonBinomial updated to version 1.2.7 with previous version 1.2.6 dated 2023-11-29

Title: Efficient Computation of Ordinary and Generalized Poisson Binomial Distributions
Description: Efficient implementations of multiple exact and approximate methods as described in Hong (2013) <doi:10.1016/j.csda.2012.10.006>, Biscarri, Zhao & Brunner (2018) <doi:10.1016/j.csda.2018.01.007> and Zhang, Hong & Balakrishnan (2018) <doi:10.1080/00949655.2018.1440294> for computing the probability mass, cumulative distribution and quantile functions, as well as generating random numbers for both the ordinary and generalized Poisson binomial distribution.
Author: Florian Junge [aut, cre]
Maintainer: Florian Junge <florian.junge@mailbox.org>

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Package jlme updated to version 0.3.0 with previous version 0.2.0 dated 2024-08-31

Title: Regression Modelling with 'GLM.jl' and 'MixedModels.jl' in 'Julia'
Description: Bindings to 'Julia' packages 'GLM.jl' <doi:10.5281/zenodo.3376013> and 'MixedModels.jl' <doi:10.5281/zenodo.12575371>, powered by 'JuliaConnectoR'. Fits (generalized) linear (mixed-effects) regression models in 'Julia' using familiar model fitting syntax from R. Offers 'broom'-style data frame summary functionalities for 'Julia' regression models.
Author: June Choe [aut, cre]
Maintainer: June Choe <jchoe001@gmail.com>

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Package PSinference updated to version 0.2.0 with previous version 0.1.0 dated 2023-07-19

Title: Inference for Released Plug-in Sampling Single Synthetic Dataset
Description: Considering the singly imputed synthetic data generated via plug-in sampling under the multivariate normal model, draws inference procedures including the generalized variance, the sphericity test, the test for independence between two subsets of variables, and the test for the regression of one set of variables on the other. For more details see Klein et al. (2021) <doi:10.1007/s13571-019-00215-9>.
Author: Ricardo Moura [aut, cre, cph] , Mina Norouzirad [aut] , Augusto Vitor [aut] , Fonseca Miguel [ctb] , FCT, I.P. [fnd] )
Maintainer: Ricardo Moura <rp.moura@fct.unl.pt>

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Package EmissV updated to version 0.665.8.0 with previous version 0.665.6.6 dated 2023-03-31

Title: Tools for Create Emissions for Air Quality Models
Description: Processing tools to create emissions for use in numerical air quality models. Emissions can be calculated both using emission factors and activity data (Schuch et al 2018) <doi:10.21105/joss.00662> or using pollutant inventories (Schuch et al., 2018) <doi:10.30564/jasr.v1i1.347>. Functions to process individual point emissions, line emissions and area emissions of pollutants are available as well as methods to incorporate alternative data for Spatial distribution of emissions such as satellite images (Gavidia-Calderon et. al, 2018) <doi:10.1016/j.atmosenv.2018.09.026> or openstreetmap data (Andrade et al, 2015) <doi:10.3389/fenvs.2015.00009>.
Author: Daniel Schuch [aut, cre] , Sergio Ibarra-Espinosa [aut]
Maintainer: Daniel Schuch <underschuch@gmail.com>

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Package DataPackageR updated to version 0.16.1 with previous version 0.16.0 dated 2024-06-03

Title: Construct Reproducible Analytic Data Sets as R Packages
Description: A framework to help construct R data packages in a reproducible manner. Potentially time consuming processing of raw data sets into analysis ready data sets is done in a reproducible manner and decoupled from the usual 'R CMD build' process so that data sets can be processed into R objects in the data package and the data package can then be shared, built, and installed by others without the need to repeat computationally costly data processing. The package maintains data provenance by turning the data processing scripts into package vignettes, as well as enforcing documentation and version checking of included data objects. Data packages can be version controlled on 'GitHub', and used to share data for manuscripts, collaboration and reproducible research.
Author: Greg Finak [aut, cph] , Paul Obrecht [ctb], Ellis Hughes [ctb] , Jimmy Fulp [ctb], Marie Vendettuoli [ctb] , Dave Slager [ctb, cre] , Jason Taylor [ctb], Kara Woo [rev] , William Landau [rev]
Maintainer: Dave Slager <dslager@fredhutch.org>

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 tests/spelling.R                                    |    8 
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 tests/testthat/test-document.R                      |  132 -
 tests/testthat/test-edge-cases.R                    |  880 ++++-----
 tests/testthat/test-ignore.R                        |   62 
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 tests/testthat/test-news-update.R                   |   42 
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 tests/testthat/test-use_raw_data.R                  |  682 +++---
 tests/testthat/test-version-bump.R                  |   54 
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 tests/testthat/test-yaml-manipulation.R             |   80 
 tests/testthat/test-yaml.R                          |  274 +-
 vignettes/Using_DataPackageR.Rmd                    |  842 ++++----
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More information about DataPackageR at CRAN
Permanent link

Package phangorn updated to version 2.12.1 with previous version 2.11.1 dated 2023-01-23

Title: Phylogenetic Reconstruction and Analysis
Description: Allows for estimation of phylogenetic trees and networks using Maximum Likelihood, Maximum Parsimony, distance methods and Hadamard conjugation (Schliep 2011). Offers methods for tree comparison, model selection and visualization of phylogenetic networks as described in Schliep et al. (2017).
Author: Klaus Schliep [aut, cre] , Emmanuel Paradis [aut] , Leonardo de Oliveira Martins [aut] , Alastair Potts [aut], Iris Bardel-Kahr [aut] , Tim W. White [ctb], Cyrill Stachniss [ctb], Michelle Kendall [ctb], Keren Halabi [ctb], Richel Bilderbeek [ctb], K [...truncated...]
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>

Diff between phangorn versions 2.11.1 dated 2023-01-23 and 2.12.1 dated 2024-09-17

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More information about phangorn at CRAN
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Package paws updated to version 0.7.0 with previous version 0.6.0 dated 2024-05-16

Title: Amazon Web Services Software Development Kit
Description: Interface to Amazon Web Services <https://aws.amazon.com>, including storage, database, and compute services, such as 'Simple Storage Service' ('S3'), 'DynamoDB' 'NoSQL' database, and 'Lambda' functions-as-a-service.
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between paws versions 0.6.0 dated 2024-05-16 and 0.7.0 dated 2024-09-17

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New package parafac4microbiome with initial version 1.0.2
Package: parafac4microbiome
Title: Parallel Factor Analysis Modelling of Longitudinal Microbiome Data
Version: 1.0.2
Description: Creation and selection of PARAllel FACtor Analysis (PARAFAC) models of longitudinal microbiome data. You can import your own data with our import functions or use one of the example datasets to create your own PARAFAC models. Selection of the optimal number of components can be done using assessModelQuality() and assessModelStability(). The selected model can then be plotted using plotPARAFACmodel(). The Parallel Factor Analysis method was originally described by Caroll and Chang (1970) <doi:10.1007/BF02310791> and Harshman (1970) <https://www.psychology.uwo.ca/faculty/harshman/wpppfac0.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: compositions, cowplot, doParallel, dplyr, foreach, ggplot2, ggpubr, lifecycle, magrittr, methods, mize, multiway, parallel, pracma, rlang, rTensor, stats, tidyr
Depends: R (>= 2.10)
LazyData: true
Suggests: knitr, MicrobiotaProcess, phyloseq, rmarkdown, SummarizedExperiment, testthat (>= 3.0.0), TreeSummarizedExperiment, withr
VignetteBuilder: knitr
URL: https://grvanderploeg.github.io/parafac4microbiome/, https://github.com/GRvanderPloeg/parafac4microbiome
BugReports: https://github.com/GRvanderPloeg/parafac4microbiome/issues
NeedsCompilation: no
Packaged: 2024-09-17 14:17:29 UTC; roelv
Author: Geert Roelof van der Ploeg [aut, cre] , Johan Westerhuis [ctb] , Anna Heintz-Buschart [ctb] , Age Smilde [ctb] , University of Amsterdam [cph, fnd]
Maintainer: Geert Roelof van der Ploeg <g.r.ploeg@uva.nl>
Repository: CRAN
Date/Publication: 2024-09-17 16:30:01 UTC

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New package paleoAM with initial version 1.0.1
Package: paleoAM
Title: Simulating Assemblage Models of Abundance for the Fossil Record
Version: 1.0.1
Date: 2024-09-16
Author: David W Bapst [aut, cre], Christina L Belanger [aut]
Maintainer: David W Bapst <dwbapst@gmail.com>
Depends: R (>= 4.1.0)
Imports: graphics, stats, vegan
Suggests: spelling, testthat
License: CC0
Language: en-US
Encoding: UTF-8
ByteCompile: TRUE
Description: Provides functions for fitting abundance distributions over environmental gradients to the species in ecological communities, and tools for simulating the fossil assemblages from those abundance models for such communities, as well as simulating assemblages across various patterns of sedimentary history and sampling. These tools are for particular use with fossil records with detailed age models and abundance distributions used for calculating environmental gradients from ordinations or other indices based on fossil assemblages.
NeedsCompilation: no
Packaged: 2024-09-16 19:22:50 UTC; dwbapst
Repository: CRAN
Date/Publication: 2024-09-17 16:20:37 UTC

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Package mRpostman updated to version 1.1.4 with previous version 1.1.2 dated 2023-12-17

Title: An IMAP Client for R
Description: An easy-to-use IMAP client that provides tools for message searching, selective fetching of message attributes, mailbox management, attachment extraction, and several other IMAP features, paving the way for e-mail data analysis in R.
Author: Allan Quadros [aut, cre] , Paul Smith [ctb], Kurt Hornik [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>

Diff between mRpostman versions 1.1.2 dated 2023-12-17 and 1.1.4 dated 2024-09-17

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Package mlr3superlearner updated to version 0.1.2 with previous version 0.1.1 dated 2024-09-04

Title: Super Learner Fitting and Prediction
Description: An implementation of the Super Learner prediction algorithm from van der Laan, Polley, and Hubbard (2007) <doi:10.2202/1544-6115.1309 using the 'mlr3' framework.
Author: Nicholas Williams [aut, cre, cph]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

Diff between mlr3superlearner versions 0.1.1 dated 2024-09-04 and 0.1.2 dated 2024-09-17

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New package Jacquard with initial version 1.0.2
Package: Jacquard
Title: Estimation of Jacquard's Genetic Identity Coefficients
Version: 1.0.2
Date: 2024-09-17
Author: Jan Graffelman [aut, cre]
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>
Depends: R (>= 3.3.0), Rsolnp
Description: Contains procedures to estimate the nine condensed Jacquard genetic identity coefficients (Jacquard, 1974) <doi:10.1007/978-3-642-88415-3> by constrained least squares (Graffelman et al., 2024) <doi:10.1101/2024.03.25.586682> and by the method of moments (Csuros, 2014) <doi:10.1016/j.tpb.2013.11.001>. These procedures require previous estimation of the allele frequencies. Functions are supplied that estimate relationship parameters that derive from the Jacquard coefficients, such as individual inbreeding coefficients and kinship coefficients.
License: GPL (>= 2)
URL: https://www.r-project.org, http://www-eio.upc.edu/~jan/
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
Packaged: 2024-09-17 10:20:55 UTC; TanitSunShine
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-09-17 16:20:50 UTC

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Package IsoplotRgui updated to version 6.3 with previous version 6.2 dated 2024-05-04

Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre], Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between IsoplotRgui versions 6.2 dated 2024-05-04 and 6.3 dated 2024-09-17

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New package DEXiR with initial version 1.0.2
Package: DEXiR
Title: 'DEXi' Library
Version: 1.0.2
Description: A software package for using 'DEXi' models. 'DEXi' models are hierarchical qualitative multi-criteria decision models developed according to the method DEX (Decision EXpert, <https://dex.ijs.si/documentation/DEX_Method/DEX_Method.html>), using the program 'DEXi' (<https://kt.ijs.si/MarkoBohanec/dexi.html>) or 'DEXiWin' (<https://dex.ijs.si/dexisuite/dexiwin.html>). A typical workflow with 'DEXiR' consists of: (1) reading a '.dxi' file, previously made using the 'DEXi' software (function read_dexi()), (2) making a data frame containing input values of one or more decision alternatives, (3) evaluating those alternatives (function evaluate()), (4) analyzing alternatives (selective_explanation(), plus_minus(), compare_alternatives()), (5) drawing charts. 'DEXiR' is restricted to using models produced externally by the 'DEXi' software and does not provide functionality for creating and/or editing 'DEXi' models directly in 'R'.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), grDevices, ggplot2, GGally, fmsb
Imports: utils, xml2, methods, stringr, graphics
NeedsCompilation: no
Packaged: 2024-09-16 09:52:20 UTC; Mare
Author: Marko Bohanec [aut, cre]
Maintainer: Marko Bohanec <marko.bohanec@ijs.si>
Repository: CRAN
Date/Publication: 2024-09-17 16:30:09 UTC

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New package curesurv with initial version 0.1.1
Package: curesurv
Title: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
Version: 0.1.1
Author: Juste Goungounga [aut, cre] , Judith Breaud [aut] , Olayide Boussari [aut] , Valerie Jooste [aut]
Maintainer: Juste Goungounga <juste.goungounga@ehesp.fr>
Description: Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) <doi:10.1002/sim.1101> The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) <doi:10.1111/biom.13361>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5), stringr, survival
Imports: numDeriv, stats, randtoolbox, bbmle, optimx, Formula, Deriv, statmod
Suggests: testthat, knitr, rmarkdown, xhaz, survexp.fr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-10 13:07:27 UTC; jbreaud
Repository: CRAN
Date/Publication: 2024-09-17 16:20:46 UTC

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New package ColOpenData with initial version 0.3.0
Package: ColOpenData
Title: Download Colombian Demographic, Climate and Geospatial Data
Version: 0.3.0
Description: Downloads wrangled Colombian socioeconomic, geospatial,population and climate data from DANE <https://www.dane.gov.co/> (National Administrative Department of Statistics) and IDEAM <https://ideam.gov.co> (Institute of Hydrology, Meteorology and Environmental Studies). It solves the problem of Colombian data being issued in different web pages and sources by using functions that allow the user to select the desired database and download it without having to do the exhausting acquisition process.
License: MIT + file LICENSE
URL: https://github.com/epiverse-trace/ColOpenData, https://epiverse-trace.github.io/ColOpenData/
BugReports: https://github.com/epiverse-trace/ColOpenData/issues
Depends: R (>= 3.3.0)
Imports: checkmate, config, dplyr, magrittr, rlang, sf, stringdist, tidyr, utils
Suggests: ggplot2, knitr, leaflet, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-17 14:08:10 UTC; Camila
Author: Maria Camila Tavera-Cifuentes [aut, cre, cph] , Julian Otero [aut, cph] , Natalia Nino-Machado [ctb] , Catalina Gonzalez-Uribe [ctb] , Juan Manuel Cordovez [ctb] , Hugo Gruson [rev] , Chris Hartgerink [rev] , Karim Mane [rev] , Joshua W. Lambert [rev [...truncated...]
Maintainer: Maria Camila Tavera-Cifuentes <mc.tavera@uniandes.edu.co>
Repository: CRAN
Date/Publication: 2024-09-17 16:30:14 UTC

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Package clickR updated to version 0.9.43 with previous version 0.9.39 dated 2023-08-07

Title: Semi-Automatic Preprocessing of Messy Data with Change Tracking for Dataset Cleaning
Description: Tools for assessing data quality, performing exploratory analysis, and semi-automatic preprocessing of messy data with change tracking for integral dataset cleaning.
Author: David Hervas Marin [aut, cre]
Maintainer: David Hervas Marin <ddhervas@yahoo.es>

Diff between clickR versions 0.9.39 dated 2023-08-07 and 0.9.43 dated 2024-09-17

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New package arcpbf with initial version 0.1.5
Package: arcpbf
Title: Process ArcGIS Protocol Buffer FeatureCollections
Version: 0.1.5
Description: Fast processing of ArcGIS FeatureCollection protocol buffers in R. It is designed to work seamlessly with 'httr2' and integrates with 'sf'.
License: Apache License (>= 2)
URL: https://r.esri.com/arcpbf/, https://github.com/R-ArcGIS/arcpbf
BugReports: https://github.com/R-ArcGIS/arcpbf/issues
Encoding: UTF-8
Language: en
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70
Suggests: httr2, sf, testthat (>= 3.0.0)
Imports: arcgisutils (>= 0.3.0), rlang
NeedsCompilation: yes
Packaged: 2024-09-05 14:46:10 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-17 16:00:02 UTC

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Package smof updated to version 1.2.0 with previous version 1.1.0 dated 2024-03-04

Title: Scoring Methodology for Ordered Factors
Description: Starting from a given object representing a fitted model (within a certain set of model classes) whose linear predictor includes some ordered factor(s) among the explanatory variables, a new model is constructed and fitted where each named factor is replaced by a single numeric score, suitably chosen so that the new variable produces a fit comparable with the standard methodology based on a set of polynomial contrasts. Two variants of the present approach have been developed, one in each of the next references: Azzalini (2023) <doi:10.1002/sta4.624>, (2024) <doi:10.48550/arXiv.2406.15933>.
Author: Adelchi Azzalini [aut, cre]
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>

Diff between smof versions 1.1.0 dated 2024-03-04 and 1.2.0 dated 2024-09-17

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Package onpoint updated to version 1.0.6 with previous version 1.0.5 dated 2024-01-10

Title: Helper Functions for Point Pattern Analysis
Description: Growing collection of helper functions for point pattern analysis. Most functions are designed to work with the 'spatstat' (<http://spatstat.org>) package. The focus of most functions are either null models or summary functions for spatial point patterns. For a detailed description of all null models and summary functions, see Wiegand and Moloney (2014, ISBN:9781420082548).
Author: Maximilian H.K. Hesselbarth [aut, cre]
Maintainer: Maximilian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>

Diff between onpoint versions 1.0.5 dated 2024-01-10 and 1.0.6 dated 2024-09-17

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Package DemographicTable updated to version 0.1.9 with previous version 0.1.8 dated 2024-04-30

Title: Creating Demographic Table
Description: Functions for creating demographic table with simple summary statistics, with optional comparison(s) over one or more groups. Numeric variables are summarized in means, standard deviations, medians, inter-quartile-ranges (IQR), skewness, Shapiro-Wilk normality test and ranges, and compared using two-sample t-test, Wilcoxon test, ANOVA and/or Kruskal-Wallis test. Logical and factor variables are summarized in counts and percentages and compared using chi-squared test and/or Fisher's exact test.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between DemographicTable versions 0.1.8 dated 2024-04-30 and 0.1.9 dated 2024-09-17

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Package astrochron updated to version 1.4 with previous version 1.3 dated 2024-05-28

Title: A Computational Tool for Astrochronology
Description: Routines for astrochronologic testing, astronomical time scale construction, and time series analysis <doi:10.1016/j.earscirev.2018.11.015>. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
Author: Stephen Meyers [aut, cre], Alberto Malinverno [ctb], Linda Hinnov [ctb], Christian Zeeden [ctb], Huaran Liu [ctb], Vincent Moron [ctb], Michel Crucifix [ctb]
Maintainer: Stephen Meyers <smeyers@geology.wisc.edu>

Diff between astrochron versions 1.3 dated 2024-05-28 and 1.4 dated 2024-09-17

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Package testCompareR updated to version 1.0.4 with previous version 1.0.3 dated 2024-04-30

Title: Comparing Two Diagnostic Tests with Dichotomous Results using Paired Data
Description: Provides a method for comparing the results of two binary diagnostic tests using paired data. Users can rapidly perform descriptive and inferential statistics in a single function call. Options permit users to select which parameters they are interested in comparing and methods for correction for multiple comparisons. Confidence intervals are calculated using the methods with the best coverage. Hypothesis tests use the methods with the best asymptotic performance. A summary of the methods is available in Roldán-Nofuentes (2020) <doi:10.1186/s12874-020-00988-y>. This package is targeted at clinical researchers who want to rapidly and effectively compare results from binary diagnostic tests.
Author: Kyle J. Wilson [cre, aut] , Marc Henrion [aut] , Jose Antonio Roldan Nofuentes [aut]
Maintainer: Kyle J. Wilson <kyle.jordan.wilson@googlemail.com>

Diff between testCompareR versions 1.0.3 dated 2024-04-30 and 1.0.4 dated 2024-09-17

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Package omnibus updated to version 1.2.14 with previous version 1.2.13 dated 2024-05-16

Title: Helper Tools for Managing Data, Dates, Missing Values, and Text
Description: An assortment of helper functions for managing data (e.g., rotating values in matrices by a user-defined angle, switching from row- to column-indexing), dates (e.g., intuiting year from messy date strings), handling missing values (e.g., removing elements/rows across multiple vectors or matrices if any have an NA), text (e.g., flushing reports to the console in real-time); and combining data frames with different schema (copying, filling, or concatenating columns or applying functions before combining).
Author: Adam B. Smith [cre, aut]
Maintainer: Adam B. Smith <adam.smith@mobot.org>

Diff between omnibus versions 1.2.13 dated 2024-05-16 and 1.2.14 dated 2024-09-17

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More information about omnibus at CRAN
Permanent link

Package oeli updated to version 0.6.0 with previous version 0.5.2 dated 2024-06-19

Title: Utilities for Developing Data Science Software
Description: Some general helper functions that I (and maybe others) find useful when developing data science software.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between oeli versions 0.5.2 dated 2024-06-19 and 0.6.0 dated 2024-09-17

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More information about oeli at CRAN
Permanent link

Package eventPred updated to version 0.2.6 with previous version 0.2.5 dated 2024-02-27

Title: Event Prediction
Description: Predicts enrollment and events at the design or analysis stage using specified enrollment and time-to-event models through simulations.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

Diff between eventPred versions 0.2.5 dated 2024-02-27 and 0.2.6 dated 2024-09-17

 DESCRIPTION                                                    |   10 
 MD5                                                            |   42 
 NEWS.md                                                        |    6 
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 R/fitDropout.R                                                 |    4 
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 inst/shinyApp/app.R                                            |   19 
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 22 files changed, 620 insertions(+), 460 deletions(-)

More information about eventPred at CRAN
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New package shiny.destroy with initial version 0.1.0
Package: shiny.destroy
Title: Create Destroyable Modules in 'Shiny'
Version: 0.1.0
Description: Enables the complete removal of various 'Shiny' components, such as inputs, outputs and modules. It also aids in the removal of observers that have been created in dynamically created modules.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, rlang, shiny
Suggests: bslib, htmltools, knitr, rmarkdown, shinytest2, spelling, testthat (>= 3.0.0)
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-16 19:52:28 UTC; arbal
Author: Ashley Baldry [aut, cre]
Maintainer: Ashley Baldry <arbaldry91@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-17 12:30:02 UTC

More information about shiny.destroy at CRAN
Permanent link

New package orthGS with initial version 0.1.5
Package: orthGS
Title: Orthology vs Paralogy Relationships among Glutamine Synthetase from Plants
Version: 0.1.5
Description: Tools to analyze and infer orthology and paralogy relationships between glutamine synthetase proteins in seed plants.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: ape, bio3d, castor, igraph, phangorn, phytools, seqinr, TreeTools
Suggests: BiocManager, Biostrings, fs, knitr, muscle, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-16 17:19:27 UTC; ealedo
Author: Elena Aledo [aut, cre, cph], Juan-Carlos Aledo [aut]
Maintainer: Elena Aledo <elenaaledoesteban@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-17 12:10:02 UTC

More information about orthGS at CRAN
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Package greeks updated to version 1.4.3 with previous version 1.4.2 dated 2024-04-23

Title: Sensitivities of Prices of Financial Options and Implied Volatilities
Description: Methods to calculate sensitivities of financial option prices for European, geometric and arithmetic Asian, and American options, with various payoff functions in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017), Options, Futures, and Other Derivatives. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2023). European and Asian Greeks for exponential Lévy processes. <doi:10.1007/s11009-023-10014-5>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

Diff between greeks versions 1.4.2 dated 2024-04-23 and 1.4.3 dated 2024-09-17

 DESCRIPTION                                     |    8 ++++----
 MD5                                             |   12 ++++++------
 R/Greeks_UI.R                                   |   13 ++++++++++++-
 R/Malliavin_Geometric_Asian_Greeks.R            |   18 ++++++------------
 build/partial.rdb                               |binary
 build/vignette.rds                              |binary
 tests/testthat/test-BS_Geometric_Asian_Greeks.R |    2 +-
 7 files changed, 29 insertions(+), 24 deletions(-)

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Package far updated to version 0.6-7 with previous version 0.6-6 dated 2022-08-13

Title: Modelization for Functional AutoRegressive Processes
Description: Modelizations and previsions functions for Functional AutoRegressive processes using nonparametric methods: functional kernel, estimation of the covariance operator in a subspace, ...
Author: Julien Damon [aut, cre], Serge, Guillas [aut]
Maintainer: Julien Damon <julien.damon@gmail.com>

Diff between far versions 0.6-6 dated 2022-08-13 and 0.6-7 dated 2024-09-17

 DESCRIPTION               |   22 -
 INDEX                     |only
 MD5                       |   63 +--
 NAMESPACE                 |   70 +--
 NEWS                      |   63 +--
 R/invgen.R                |   80 +--
 R/orthonormalization.R    |  148 +++----
 R/simul.R                 |  938 +++++++++++++++++++++++-----------------------
 README.md                 |   28 -
 TODO                      |   14 
 man/BaseK2BaseC.Rd        |   82 ++--
 man/base.simul.far.Rd     |   82 ++--
 man/coef.far.Rd           |  160 +++----
 man/date.fdata.Rd         |   76 +--
 man/fapply.Rd             |   94 ++--
 man/far.Rd                |  332 ++++++++--------
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 man/fdata.Rd              |  184 ++++-----
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 man/invgen.Rd             |   44 +-
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 man/maxfdata.Rd           |   70 +--
 man/multplot.Rd           |  176 ++++----
 man/orthonormalization.Rd |  110 ++---
 man/plot.fdata.Rd         |  130 +++---
 man/pred.persist.Rd       |  140 +++---
 man/predict.far.Rd        |  196 ++++-----
 man/predict.kerfon.Rd     |  150 +++----
 man/select.fdata.Rd       |   90 ++--
 man/simul.far.sde.Rd      |  128 +++---
 man/simul.wiener.Rd       |   90 ++--
 src/far.c                 |   14 
 33 files changed, 2181 insertions(+), 2171 deletions(-)

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New package card.pro with initial version 2.1.0
Package: card.pro
Title: Lightweight Modern & Responsive Card Component for 'shiny'
Version: 2.1.0
Maintainer: Obinna Obianom <idonshayo@gmail.com>
Description: Responsive and modern 'HTML' card essentials for 'shiny' dashboard. This novel card component in 'Bootstrap' provides a flexible and extensible content container with multiple variants and options for build robust apps e.g for graph build or machine learning projects. The features rely on a combine 'JQuery' <https://jquery.com> and 'CSS' styles to improve the card functionality.
License: MIT + file LICENSE
URL: https://cardpro.rpkg.net
BugReports: https://github.com/oobianom/card.pro/issues
Depends: R (> 3.6)
Imports: shiny, quickcode, htmltools
Suggests: rmarkdown, knitr, qpdf, testthat
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2024-09-16 18:32:44 UTC; in198
Author: Obinna Obianom [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-17 12:20:02 UTC

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New package WAnova with initial version 0.4.0
Package: WAnova
Title: Welch's Anova from Summary Statistics
Version: 0.4.0
Description: Provides the functions to perform a Welch's one-way Anova with fixed effects based on summary statistics (sample size, means, standard deviation) and the Games-Howell post hoc test for multiple comparisons and provides the effect size estimator adjusted omega squared. In addition sample size estimation can be computed based on Levy's method, and a Monte Carlo simulation is included to bootstrap residual normality and homoscedasticity Welch, B. L. (1951) <doi:10.1093/biomet/38.3-4.330> Kirk, R. E. (1996) <doi:10.1177/0013164496056005002> Carroll, R. M., & Nordholm, L. A. (1975) <doi:10.1177/001316447503500304> Albers, C., & Lakens, D. (2018) <doi:10.1016/j.jesp.2017.09.004> Games, P. A., & Howell, J. F. (1976) <doi:10.2307/1164979> Levy, K. J. (1978a) <doi:10.1080/00949657808810246> Show-Li, J., & Gwowen, S. (2014) <doi:10.1111/bmsp.12006>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
Imports: car, utils, stats, SuppDists
NeedsCompilation: no
Packaged: 2024-09-16 15:44:34 UTC; runneradmin
Author: Niklas Burgard [aut, cre]
Maintainer: Niklas Burgard <info@burgard.online>
Repository: CRAN
Date/Publication: 2024-09-17 12:00:06 UTC

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New package sts with initial version 1.0
Package: sts
Title: Estimation of the Structural Topic and Sentiment-Discourse Model for Text Analysis
Version: 1.0
Date: 2024-09-04
Author: Shawn Mankad [aut, cre], Li Chen [aut]
Maintainer: Shawn Mankad <smankad@ncsu.edu>
Description: The Structural Topic and Sentiment-Discourse (STS) model allows researchers to estimate topic models with document-level metadata that determines both topic prevalence and sentiment-discourse. The sentiment-discourse is modeled as a document-level latent variable for each topic that modulates the word frequency within a topic. These latent topic sentiment-discourse variables are controlled by the document-level metadata. The STS model can be useful for regression analysis with text data in addition to topic modeling’s traditional use of descriptive analysis. The method was developed in Li and Mankad (2024) <doi:10.2139/ssrn.4020651>.
License: MIT + file LICENSE
Imports: Rcpp, RcppArmadillo, glmnet, matrixStats, slam, foreach, doParallel, parallel, stm, Matrix, mvtnorm
Suggests: tm
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-09-16 13:12:51 UTC; shawnmankad
Repository: CRAN
Date/Publication: 2024-09-17 11:50:01 UTC

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New package readMDTable with initial version 0.1.1
Package: readMDTable
Title: Read Markdown Tables into Tibbles
Version: 0.1.1
Description: Functions for reading raw markdown tables from a string, file, or URL into tibbles. It includes options to warn users about potential issues with the markdown table format, ensuring robust data handling even if the table has minor formatting errors.
Imports: cli, httr2, lubridate, readr, stringr, tibble
URL: https://github.com/jrdnbradford/readMDTable, https://jrdnbradford.github.io/readMDTable/
BugReports: https://github.com/jrdnbradford/readMDTable/issues
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-16 14:42:14 UTC; bradfojb
Author: Jordan Bradford [aut, cre, cph]
Maintainer: Jordan Bradford <jrdnbradford@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-17 12:00:02 UTC

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New package ouladFormat with initial version 1.1.2
Package: ouladFormat
Title: Loads and Formats the Open University Learning Analytics Dataset for Data Analysis
Version: 1.1.2
Description: The Open University Learning Analytics Dataset (OULAD) is available from Kuzilek et al. (2017) <doi:10.1038/sdata.2017.171>. The 'ouladFormat' package loads, cleans and formats the OULAD for data analysis (each row of the returned data set is an individual student). The package’s main function, combined_dataset(), allows the user to choose whether the returned data set includes assessment, demographics, virtual learning environment (VLE), or registration variables etc.
License: GPL (>= 2)
Encoding: UTF-8
Imports: dplyr, httr, magrittr, stats, tidyr
NeedsCompilation: no
Packaged: 2024-09-16 14:37:25 UTC; Emma
Author: Emma Howard [aut, cre]
Maintainer: Emma Howard <emhoward@tcd.ie>
Repository: CRAN
Date/Publication: 2024-09-17 11:50:04 UTC

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Package Numero updated to version 1.9.8 with previous version 1.9.7 dated 2024-05-11

Title: Statistical Framework to Define Subgroups in Complex Datasets
Description: High-dimensional datasets that do not exhibit a clear intrinsic clustered structure pose a challenge to conventional clustering algorithms. For this reason, we developed an unsupervised framework that helps scientists to better subgroup their datasets based on visual cues, please see Gao S, Mutter S, Casey A, Makinen V-P (2019) Numero: a statistical framework to define multivariable subgroups in complex population-based datasets, Int J Epidemiology, 48:369-37, <doi:10.1093/ije/dyy113>. The framework includes the necessary functions to construct a self-organizing map of the data, to evaluate the statistical significance of the observed data patterns, and to visualize the results.
Author: Song Gao [aut], Stefan Mutter [aut], Aaron E. Casey [aut], Ville-Petteri Makinen [aut, cre]
Maintainer: Ville-Petteri Makinen <vpmakine@gmail.com>

Diff between Numero versions 1.9.7 dated 2024-05-11 and 1.9.8 dated 2024-09-17

 DESCRIPTION                       |   29 ++++-
 MD5                               |   18 +--
 R/nroPermute.R                    |    4 
 inst/doc/intro.html               |  184 +++++++++++++++++++-------------------
 src/abacus.gaussian.configure.cpp |   13 +-
 src/abacus.version.cpp            |    2 
 src/koho.trainer.distance.cpp     |   17 ++-
 src/medusa.local.h                |    2 
 src/medusa.openfile.cpp           |    2 
 src/nro_permute.cpp               |    2 
 10 files changed, 149 insertions(+), 124 deletions(-)

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New package colorrepel with initial version 0.1.0
Package: colorrepel
Title: Repel Visually Similar Colors for Colorblind Users in Various Plots
Version: 0.1.0
Description: Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: grDevices, matrixStats, Matrix, distances, stats, dqrng, gtools, purrr, dplyr, ggplot2, ggrepel, ggalt
Suggests: colorspace
URL: https://github.com/raysinensis/color_repel
ByteCompile: true
NeedsCompilation: no
Packaged: 2024-09-16 11:51:11 UTC; rfu
Author: Rui Fu [cre, aut, cph]
Maintainer: Rui Fu <raysinensis@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-17 11:50:08 UTC

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Package rmacrostrat updated to version 0.0.2 with previous version 0.0.1 dated 2024-07-31

Title: Fetch Geologic Data from the 'Macrostrat' Platform
Description: Work with the 'Macrostrat' (<https://macrostrat.org/>) Web Service (v.2, <https://macrostrat.org/api/v2>) to fetch geological data relevant to the spatial and temporal distribution of sedimentary, igneous, and metamorphic rocks as well as data extracted from them.
Author: Lewis A. Jones [aut, cre, cph] , William Gearty [aut] , Christopher D. Dean [aut] , Bethany Allen [aut]
Maintainer: Lewis A. Jones <LewisA.Jones@outlook.com>

Diff between rmacrostrat versions 0.0.1 dated 2024-07-31 and 0.0.2 dated 2024-09-17

 rmacrostrat-0.0.1/rmacrostrat/R/release.R                           |only
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 rmacrostrat-0.0.2/rmacrostrat/NEWS.md                               |    5 
 rmacrostrat-0.0.2/rmacrostrat/R/get_eodp.R                          |    4 
 rmacrostrat-0.0.2/rmacrostrat/README.md                             |   14 
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 rmacrostrat-0.0.2/rmacrostrat/inst/doc/geological-completeness.Rmd  |   88 +--
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 24 files changed, 388 insertions(+), 454 deletions(-)

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Package ream updated to version 1.0-3 with previous version 1.0-2 dated 2024-09-16

Title: Density, Distribution, and Sampling Functions for Evidence Accumulation Models
Description: Calculate the probability density functions (PDFs) for two threshold evidence accumulation models (EAMs). These are defined using the following Stochastic Differential Equation (SDE), dx(t) = v(x(t),t)*dt+D(x(t),t)*dW, where x(t) is the accumulated evidence at time t, v(x(t),t) is the drift rate, D(x(t),t) is the noise scale, and W is the standard Wiener process. The boundary conditions of this process are the upper and lower decision thresholds, represented by b_u(t) and b_l(t), respectively. Upper threshold b_u(t) > 0, while lower threshold b_l(t) < 0. The initial condition of this process x(0) = z where b_l(t) < z < b_u(t). We represent this as the relative start point w = z/(b_u(0)-b_l(0)), defined as a ratio of the initial threshold location. This package generates the PDF using the same approach as the 'python' package it is based upon, 'PyBEAM' by Murrow and Holmes (2023) <doi:10.3758/s13428-023-02162-w>. First, it converts the SDE model into the forwards Fokke [...truncated...]
Author: Raphael Hartmann [aut, cre] , Matthew Murrow [aut]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

Diff between ream versions 1.0-2 dated 2024-09-16 and 1.0-3 dated 2024-09-17

 DESCRIPTION            |    6 +++---
 MD5                    |   16 ++++++++--------
 inst/doc/guidline.html |    4 ++--
 src/Model.h            |    4 ++--
 src/Model_T.h          |    2 +-
 src/Model_TW.h         |    2 +-
 src/Model_TX.h         |    2 +-
 src/R_wrapper.cpp      |   18 ++++--------------
 src/models_tw.h        |   38 ++++++++++++++++++++++++++++++--------
 9 files changed, 52 insertions(+), 40 deletions(-)

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Package PytrendsLongitudinalR updated to version 0.1.4 with previous version 0.1.3 dated 2024-09-15

Title: Create Longitudinal Google Trends Data
Description: 'Google Trends' provides cross-sectional and time-series data on searches, but lacks readily available longitudinal data. Researchers, who want to create longitudinal 'Google Trends' on their own, face practical challenges, such as normalized counts that make it difficult to combine cross-sectional and time-series data and limitations in data formats and timelines that limit data granularity over extended time periods. This package addresses these issues and enables researchers to generate longitudinal 'Google Trends' data. This package is built on 'pytrends', a Python library that acts as the unofficial 'Google Trends API' to collect 'Google Trends' data. As long as the 'Google Trends API', 'pytrends' and all their dependencies are working, this package will work. During testing, we noticed that for the same input (keyword, topic, data_format, timeline), the output index can vary from time to time. Besides, if the keyword is not very popular, then the resulting dataset will contain a [...truncated...]
Author: Taeyong Park [cre, cph, aut], Malika Dixit [aut]
Maintainer: Taeyong Park <taeyongp@andrew.cmu.edu>

Diff between PytrendsLongitudinalR versions 0.1.3 dated 2024-09-15 and 0.1.4 dated 2024-09-17

 DESCRIPTION        |   10 ++++++----
 MD5                |   10 ++++++----
 R/install.R        |    2 +-
 R/logging_config.R |    6 +++---
 R/zzz.R            |    5 ++---
 README.md          |only
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 7 files changed, 18 insertions(+), 15 deletions(-)

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Package fdaPDE updated to version 1.1-20 with previous version 1.1-19 dated 2024-07-15

Title: Physics-Informed Spatial and Functional Data Analysis
Description: An implementation of regression models with partial differential regularizations, making use of the Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains and can comply with various conditions at the boundaries of the domain. A priori information about the spatial structure of the phenomenon under study can be incorporated in the model via the differential regularization. See Sangalli, L. M. (2021) <doi:10.1111/insr.12444> "Spatial Regression With Partial Differential Equation Regularisation" for an overview. The release 1.1-9 requires R (>= 4.2.0) to be installed on windows machines.
Author: Eleonora Arnone [aut, cre], Aldo Clemente [aut], Laura M. Sangalli [aut], Eardi Lila [aut], Jim Ramsay [aut], Luca Formaggia [aut], Giovanni Ardenghi [ctb], Blerta Begu [ctb], Michele Cavazzutti [ctb], Alessandra Colli [ctb], Alberto Colombo [ctb], L [...truncated...]
Maintainer: Eleonora Arnone <eleonora.arnone@polimi.it>

Diff between fdaPDE versions 1.1-19 dated 2024-07-15 and 1.1-20 dated 2024-09-17

 DESCRIPTION                        |    8 +++----
 MD5                                |    6 ++---
 src/C_Libraries/FEMtriangulation.c |   40 ++++++++++++++++++-------------------
 src/C_Libraries/triangle.c         |   14 ++++++------
 4 files changed, 34 insertions(+), 34 deletions(-)

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Package rswipl updated to version 9.3.11 with previous version 9.3.7.2 dated 2024-07-09

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] , Jan Wielemaker [ctb, cph] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between rswipl versions 9.3.7.2 dated 2024-07-09 and 9.3.11 dated 2024-09-17

 rswipl-9.3.11/rswipl/DESCRIPTION                                                  |   16 
 rswipl-9.3.11/rswipl/MD5                                                          |  428 ++--
 rswipl-9.3.11/rswipl/NEWS.md                                                      |   16 
 rswipl-9.3.11/rswipl/R/RcppExports.R                                              |    8 
 rswipl-9.3.11/rswipl/R/query.R                                                    |   54 
 rswipl-9.3.11/rswipl/R/rswipl.R                                                   |   61 
 rswipl-9.3.11/rswipl/man/clear.Rd                                                 |    7 
 rswipl-9.3.11/rswipl/man/query.Rd                                                 |   27 
 rswipl-9.3.11/rswipl/man/submit.Rd                                                |   15 
 rswipl-9.3.11/rswipl/man/swipl.Rd                                                 |   21 
 rswipl-9.3.11/rswipl/src/Makevars                                                 |   18 
 rswipl-9.3.11/rswipl/src/RcppExports.cpp                                          |   20 
 rswipl-9.3.11/rswipl/src/install.libs.R                                           |    2 
 rswipl-9.3.11/rswipl/src/rswipl.cpp                                               |  297 ++
 rswipl-9.3.11/rswipl/src/swipl-devel/CMAKE.md                                     |   30 
 rswipl-9.3.11/rswipl/src/swipl-devel/README.md                                    |    2 
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 rswipl-9.3.11/rswipl/src/swipl-devel/src/SWI-Prolog.h                             |  453 ++--
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More information about rswipl at CRAN
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Package pbdZMQ updated to version 0.3-13 with previous version 0.3-12 dated 2024-09-07

Title: Programming with Big Data -- Interface to 'ZeroMQ'
Description: 'ZeroMQ' is a well-known library for high-performance asynchronous messaging in scalable, distributed applications. This package provides high level R wrapper functions to easily utilize 'ZeroMQ'. We mainly focus on interactive client/server programming frameworks. For convenience, a minimal 'ZeroMQ' library (4.2.2) is shipped with 'pbdZMQ', which can be used if no system installation of 'ZeroMQ' is available. A few wrapper functions compatible with 'rzmq' are also provided.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], Christian Heckendorf [aut] , George Ostrouchov [aut] , Whit Armstrong [ctb] , Brian Ripley [ctb] , R Core team [ctb] , Philipp A. [ctb] , Elliott Sales de Andrade [ctb] , Spencer Aiello [ctb] , Paul Andre [...truncated...]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdZMQ versions 0.3-12 dated 2024-09-07 and 0.3-13 dated 2024-09-17

 ChangeLog   |    3 +++
 DESCRIPTION |    8 ++++----
 MD5         |    6 +++---
 src/R_zmq.h |    2 +-
 4 files changed, 11 insertions(+), 8 deletions(-)

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Package StepReg updated to version 1.5.3 with previous version 1.5.2 dated 2024-08-16

Title: Stepwise Regression Analysis
Description: The stepwise regression analysis is a statistical technique used to identify a subset of predictor variables essential for constructing predictive models. This package performs stepwise regression analysis across various regression models such as linear, logistic, Cox proportional hazards, Poisson, Gamma, and negative binomial regression. It incorporates diverse stepwise regression algorithms like forward selection, backward elimination, and bidirectional elimination alongside the best subset method. Additionally, it offers a wide range of selection criteria, including Akaike Information Criterion (AIC), Sawa Bayesian Information Criterion (BIC), and Significance Levels (SL). We validated the output accuracy of StepReg using public datasets within the SAS software environment. To facilitate efficient model comparison and selection, StepReg allows for multiple strategies and selection metrics to be executed in a single function call. Moreover, StepReg integrates a Shiny application for [...truncated...]
Author: Junhui Li [cre] , Junhui Li [aut], Kai Hu [aut], Xiaohuan Lu [aut], Kun Cheng [ctb], Sushmita N Nayak [ctb], Cesar Bautista Sotelo [ctb], Michael A Lodato [ctb], Robert H Brown [ctb], Wenxin Liu [aut], Lihua Julie Zhu [aut]
Maintainer: Junhui Li <junhui.li11@umassmed.edu>

Diff between StepReg versions 1.5.2 dated 2024-08-16 and 1.5.3 dated 2024-09-17

 DESCRIPTION                                                 |   16 
 MD5                                                         |   23 -
 R/plot.StepReg.R                                            |   65 ++-
 R/stepwiseUtils.R                                           |   40 +-
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 inst/doc/StepReg.R                                          |    6 
 inst/doc/StepReg.Rmd                                        |    6 
 inst/doc/StepReg.html                                       |  224 ++++++------
 inst/shiny/rsconnect/shinyapps.io/junhuiliumass/StepReg.dcf |    2 
 man/StepReg-package.Rd                                      |    4 
 man/tobacco.Rd                                              |only
 tests/sas_benchmark.xlsx                                    |binary
 vignettes/StepReg.Rmd                                       |    6 
 14 files changed, 215 insertions(+), 177 deletions(-)

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Package paws.cost.management updated to version 0.7.0 with previous version 0.6.1 dated 2024-05-15

Title: 'Amazon Web Services' Cost Management Services
Description: Interface to 'Amazon Web Services' cost management services, including cost and usage reports, budgets, pricing, and more <https://aws.amazon.com/>.
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between paws.cost.management versions 0.6.1 dated 2024-05-15 and 0.7.0 dated 2024-09-17

 DESCRIPTION                                                        |   10 
 MD5                                                                |   89 ++--
 R/billingconductor_operations.R                                    |   96 +++-
 R/billingconductor_service.R                                       |    4 
 R/budgets_interfaces.R                                             |   40 +-
 R/budgets_operations.R                                             |  175 +++++++-
 R/budgets_service.R                                                |    7 
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 R/costandusagereportservice_service.R                              |    4 
 R/costexplorer_operations.R                                        |  123 ++++--
 R/costexplorer_service.R                                           |    4 
 R/marketplacecatalog_operations.R                                  |   39 +
 R/marketplacecatalog_service.R                                     |    4 
 R/marketplacecommerceanalytics_operations.R                        |    6 
 R/marketplacecommerceanalytics_service.R                           |    4 
 R/marketplaceentitlementservice_operations.R                       |    3 
 R/marketplaceentitlementservice_service.R                          |    4 
 R/marketplacemetering_operations.R                                 |   12 
 R/marketplacemetering_service.R                                    |   26 -
 R/paymentcryptographycontrolplane_interfaces.R                     |    2 
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 R/paymentcryptographycontrolplane_service.R                        |    4 
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 R/paymentcryptographydataplane_operations.R                        |  200 +++++-----
 R/paymentcryptographydataplane_service.R                           |    8 
 R/pricing_operations.R                                             |   15 
 R/pricing_service.R                                                |    4 
 R/savingsplans_operations.R                                        |   30 +
 R/savingsplans_service.R                                           |    4 
 man/budgets.Rd                                                     |    3 
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 man/paymentcryptographydataplane_verify_pin_data.Rd                |   30 -
 47 files changed, 839 insertions(+), 447 deletions(-)

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Package fabletools updated to version 0.5.0 with previous version 0.4.2 dated 2024-04-22

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut], Earo Wang [aut] , Di Cook [ctb], George Athanasopoulos [ctb], David Holt [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package CITMIC updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-14

Title: Estimation of Cell Infiltration Based on Cell Crosstalk
Description: A systematic biology tool was developed to identify cell infiltration via an Individualized Cell crosstalk network. 'CITMIC' first constructed a weighted cell crosstalk network by integrating Cell-target interaction information, biological process data from the Gene Ontology (GO) database, and gene transcriptomic data in a specific sample, and then, it used a network propagation algorithm on the network to identify cell infiltration for the sample. Ultimately, cell infiltration in the patient dataset was obtained by normalizing the centrality scores of the cells.
Author: Junwei Han [aut, cre, cph], Xilong Zhao [aut]
Maintainer: Junwei Han <hanjunwei1981@163.com>

Diff between CITMIC versions 0.1.0 dated 2024-06-14 and 0.1.1 dated 2024-09-17

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Package edbuildmapr (with last version 0.3.1) was removed from CRAN

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

2021-06-15 0.3.1
2021-06-02 0.3.0
2020-06-16 0.2.0
2020-04-16 0.1.1
2020-03-20 0.1.0

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Package distributional updated to version 0.5.0 with previous version 0.4.0 dated 2024-02-07

Title: Vectorised Probability Distributions
Description: Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
Author: Mitchell O'Hara-Wild [aut, cre] , Matthew Kay [aut] , Alex Hayes [aut] , Rob Hyndman [aut] , Earo Wang [ctb] , Vencislav Popov [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package bWGR updated to version 2.2.10 with previous version 2.2.9 dated 2024-05-20

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Author: Alencar Xavier [aut, cre] , William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>

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Package feasts updated to version 0.4.0 with previous version 0.3.2 dated 2024-03-15

Title: Feature Extraction and Statistics for Time Series
Description: Provides a collection of features, decomposition methods, statistical summaries and graphics functions for the analysing tidy time series data. The package name 'feasts' is an acronym comprising of its key features: Feature Extraction And Statistics for Time Series.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Di Cook [ctb], Thiyanga Talagala [ctb] , Leanne Chhay [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package VGAMdata updated to version 1.1-12 with previous version 1.1-9 dated 2023-09-18

Title: Data Supporting the 'VGAM' Package
Description: Mainly data sets to accompany the VGAM package and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7>. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology). This package now contains some old VGAM family functions which have been replaced by newer ones (often because they are now special cases).
Author: Thomas Yee [aut, cre, cph] , James Gray [dtc]
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>

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