Sun, 10 Sep 2023

Package RNOmni updated to version 1.0.1.2 with previous version 1.0.1 dated 2022-08-15

Title: Rank Normal Transformation Omnibus Test
Description: Inverse normal transformation (INT) based genetic association testing. These tests are recommend for continuous traits with non-normally distributed residuals. INT-based tests robustly control the type I error in settings where standard linear regression does not, as when the residual distribution exhibits excess skew or kurtosis. Moreover, INT-based tests outperform standard linear regression in terms of power. These tests may be classified into two types. In direct INT (D-INT), the phenotype is itself transformed. In indirect INT (I-INT), phenotypic residuals are transformed. The omnibus test (O-INT) adaptively combines D-INT and I-INT into a single robust and statistically powerful approach. See McCaw ZR, Lane JM, Saxena R, Redline S, Lin X. "Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies" <doi:10.1111/biom.13214>.
Author: Zachary McCaw [aut, cre]
Maintainer: Zachary McCaw <zmccaw@alumni.harvard.edu>

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Package nimbleSMC updated to version 0.11.0 with previous version 0.10.1 dated 2021-12-09

Title: Sequential Monte Carlo Methods for 'nimble'
Description: Includes five particle filtering algorithms for use with state space models in the 'nimble' system: 'Auxiliary', 'Bootstrap', 'Ensemble Kalman filter', 'Iterated Filtering 2', and 'Liu-West', as described in Michaud et al. (2021), <doi:10.18637/jss.v100.i03>. A full User Manual is available at <https://r-nimble.org>.
Author: Nick Michaud [aut], Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Benjamin R. Goldstein [ctb] , Dao Nguyen [ctb] , The Regents of the University of California [cph]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

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Package GPFDA updated to version 3.1.3 with previous version 3.1.2 dated 2022-05-07

Title: Gaussian Process for Functional Data Analysis
Description: Functionalities for modelling functional data with multidimensional inputs, multivariate functional data, and non-separable and/or non-stationary covariance structure of function-valued processes. In addition, there are functionalities for functional regression models where the mean function depends on scalar and/or functional covariates and the covariance structure depends on functional covariates. The development version of the package can be found on <https://github.com/gpfda/GPFDA-dev>.
Author: Jian Qing Shi, Yafeng Cheng, Evandro Konzen
Maintainer: Evandro Konzen <gpfda.r@gmail.com>

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Package gamlss.cens updated to version 5.0-5 with previous version 5.0-1 dated 2018-06-11

Title: Fitting an Interval Response Variable Using `gamlss.family' Distributions
Description: This is an add-on package to GAMLSS. The purpose of this package is to allow users to fit interval response variables in GAMLSS models. The main function gen.cens() generates a censored version of an existing GAMLSS family distribution.
Author: Mikis Stasinopoulos <d.stasinopoulos@gre.ac.uk>, Bob Rigby, Nicoleta Mortan, Alexander Seipp
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@gre.ac.uk>

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Package checkdown updated to version 0.0.9 with previous version 0.0.8 dated 2023-08-27

Title: Check-Fields and Check-Boxes for 'rmarkdown'
Description: Creates auto-grading check-fields and check-boxes for 'rmarkdown' or 'quarto' html. It could be used in class, when teacher share materials and tasks, so student can solve some problems and check themselves. In contrast to the 'learnr' package the 'checkdown' package works serverlessly without 'shiny'.
Author: George Moroz [aut, cre]
Maintainer: George Moroz <agricolamz@gmail.com>

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Package bmlm updated to version 1.3.14 with previous version 1.3.13 dated 2023-08-30

Title: Bayesian Multilevel Mediation
Description: Easy estimation of Bayesian multilevel mediation models with Stan.
Author: Matti Vuorre [aut, cre]
Maintainer: Matti Vuorre <m.j.vuorre@tilburguniversity.edu>

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Package bayespm updated to version 0.2.0 with previous version 0.1.0 dated 2023-07-05

Title: Bayesian Statistical Process Monitoring
Description: The R-package bayespm implements Bayesian Statistical Process Control and Monitoring (SPC/M) methodology. These methods utilize available prior information and/or historical data, providing efficient online quality monitoring of a process, in terms of identifying moderate/large transient shifts (i.e., outliers) or persistent shifts of medium/small size in the process. These self-starting, sequentially updated tools can also run under complete absence of any prior information. The Predictive Control Charts (PCC) are introduced for the quality monitoring of data from any discrete or continuous distribution that is a member of the regular exponential family. The Predictive Ratio CUSUMs (PRC) are introduced for the Binomial, Poisson and Normal data (a later version of the library will cover all the remaining distributions from the regular exponential family). The PCC targets transient process shifts of typically large size (a.k.a. outliers), while PRC is focused in detecting persistent (st [...truncated...]
Author: Dimitrios Kiagias [aut, cre, cph], Konstantinos Bourazas [aut, cph], Panagiotis Tsiamyrtzis [aut, cph]
Maintainer: Dimitrios Kiagias <kiagias.dim@gmail.com>

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

Title: A 'DuckDB'-Backed Version of 'dplyr'
Description: A drop-in replacement for 'dplyr', powered by 'DuckDB' for performance. Also defines a set of generics that provide a low-level implementer's interface for the high-level user interface of 'dplyr'.
Author: Hannes Muehleisen [aut] , Kirill Mueller [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package acopula updated to version 0.9.4 with previous version 0.9.3 dated 2018-12-05

Title: Modelling Dependence with Multivariate Archimax (or any User-Defined Continuous) Copulas
Description: Archimax copulas are mixture of Archimedean and EV copulas. The package provides definitions of several parametric families of generator and dependence function, computes CDF and PDF, estimates parameters, tests for goodness of fit, generates random sample and checks copula properties for custom constructs. In 2-dimensional case explicit formulas for density are used, contrary to higher dimensions when all derivatives are linearly approximated. Several non-archimax families (normal, FGM, Plackett) are provided as well.
Author: Tomas Bacigal
Maintainer: Tomas Bacigal <bacigal@math.sk>

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Package rgrass updated to version 0.3-9 with previous version 0.3-8 dated 2023-03-17

Title: Interface Between 'GRASS' Geographical Information System and 'R'
Description: An interface between the 'GRASS' geographical information system ('GIS') and 'R', based on starting 'R' from within the 'GRASS' 'GIS' environment, or running a free-standing 'R' session in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the 'R' command line. The original interface package for 'GRASS 5' (2000-2010) is described in Bivand (2000) <doi:10.1016/S0098-3004(00)00057-1> and Bivand (2001) <https://www.r-project.org/conferences/DSC-2001/Proceedings/Bivand.pdf>. This was succeeded by 'spgrass6' for 'GRASS 6' (2006-2016) and 'rgrass7' for 'GRASS 7' (2015-present). The 'rgrass' package modernizes the interface for 'GRASS 8' while still permitting the use of 'GRASS 7'.
Author: Roger Bivand [cre, aut] , Rainer Krug [ctb] , Robin Lovelace [ctb] , Markus Neteler [ctb] , Sebastian Jeworutzki [ctb] , Floris Vanderhaeghe [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package insight updated to version 0.19.4 with previous version 0.19.3 dated 2023-06-29

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package mason (with last version 0.3.0) was removed from CRAN

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

2020-06-04 0.3.0
2018-07-05 0.2.6
2016-07-18 0.2.5
2016-07-15 0.2.4

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Package readODS updated to version 2.1.0 with previous version 2.0.0 dated 2023-08-10

Title: Read and Write ODS Files
Description: Read ODS (OpenDocument Spreadsheet) into R as data frame. Also support writing data frame into ODS file.
Author: Gerrit-Jan Schutten [aut], Chung-hong Chan [aut, cre] , Peter Brohan [aut], Detlef Steuer [aut] , Thomas J. Leeper [aut] , John Foster [ctb], Sergio Oller [ctb], Jim Hester [ctb] , Stephen Watts [ctb], Arthur Katossky [ctb], Stas Malavin [ctb], Dunca [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package ecoregime updated to version 0.1.3 with previous version 0.1.2 dated 2023-08-11

Title: Analysis of Ecological Dynamic Regimes
Description: A toolbox for implementing the Ecological Dynamic Regime framework (Sánchez-Pinillos et al., 2023 <doi:10.1002/ecm.1589>) to characterize and compare groups of ecological trajectories in multidimensional spaces defined by state variables. The package includes the RETRA-EDR algorithm to identify representative trajectories, functions to generate, summarize, and visualize representative trajectories, and several metrics to quantify the distribution and heterogeneity of trajectories in an ecological dynamic regime and quantify the dissimilarity between two or more ecological dynamic regimes.
Author: Martina Sanchez-Pinillos [aut, cre, cph]
Maintainer: Martina Sanchez-Pinillos <martina.sanchez.pinillos@gmail.com>

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Package HIMA updated to version 2.2.1 with previous version 2.2.0 dated 2023-04-27

Title: High-Dimensional Mediation Analysis
Description: Allows to estimate and test high-dimensional mediation effects based on advanced mediator screening and penalized regression techniques. Methods used in the package refer to Zhang H, Zheng Y, Zhang Z, Gao T, Joyce B, Yoon G, Zhang W, Schwartz J, Just A, Colicino E, Vokonas P, Zhao L, Lv J, Baccarelli A, Hou L, Liu L. Estimating and Testing High-dimensional Mediation Effects in Epigenetic Studies. Bioinformatics. (2016) <doi:10.1093/bioinformatics/btw351>. PMID: 27357171.
Author: Yinan Zheng [aut, cre], Haixiang Zhang [aut], Lifang Hou [aut], Lei Liu [aut, cph]
Maintainer: Yinan Zheng <y-zheng@northwestern.edu>

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New package concrete with initial version 1.0.5
Package: concrete
Title: Continuous-Time Competing Risks Estimation using Targeted Minimum Loss-Based Estimation (TMLE)
Version: 1.0.5
Date: 2023-09-07
Author: David Chen [aut, cre]
Maintainer: David Chen <david.chen49@berkeley.edu>
Description: One-step continuous-time Targeted Minimum Loss-Based Estimation (TMLE) for outcome-specific absolute risk estimands in right-censored survival settings with or without competing risks, implementing the methodology described in Rytgaard et al. (2023) <doi:10.1111/biom.13856> and Rytgaard and van der Laan (2023) <doi:10.1007/s10985-022-09576-2>. Currently 'concrete' can be used to estimate the effects of static or dynamic interventions on binary treatments given at baseline, cross-validated initial estimation of treatment propensity is done using the 'SuperLearner' package, and initial estimation of conditional hazards is done using ensembles of Cox regressions from the 'survival' package or Coxnet from the 'glmnet' package.
License: GPL (>= 3)
Imports: data.table, survival, zoo, origami, SuperLearner, nleqslv, MASS, Rcpp (>= 1.0.11)
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Suggests: nnls, xgboost, glmnet, ranger, ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/imbroglio-dc/concrete
BugReports: https://github.com/imbroglio-dc/concrete/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-09-09 16:02:53 UTC; imbroglio
Repository: CRAN
Date/Publication: 2023-09-10 16:50:02 UTC

More information about concrete at CRAN
Permanent link

Package tdsa updated to version 1.1-0 with previous version 1.0-1 dated 2023-04-25

Title: Time-Dependent Sensitivity Analysis
Description: Functions that can be used to calculate time-dependent state and parameter sensitivities for both continuous- and discrete-time deterministic models. See Ng et al. (in press) <doi:10.1086/726143> for more information about time-dependent sensitivity analysis.
Author: Wee Hao Ng [aut, cre] , Christopher R. Myers [ctb] , Scott H. McArt [ctb] , Stephen P. Ellner [ctb]
Maintainer: Wee Hao Ng <wn68@cornell.edu>

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Package admiral.test updated to version 0.7.0 with previous version 0.6.0 dated 2023-06-07

Title: Test Data for the 'admiral' Package
Description: A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) derivations inside the 'admiral' package.
Author: Ben Straub [aut, cre], Stefan Bundfuss [aut], Gordon Miller [aut], Thomas Neitmann [aut], Syed Mubasheer [aut], Ross Farrugia [ctb], Shan Lee [ctb], Gopi Vegesna [ctb], Sophie Shapcott [ctb], Mahdi About [ctb], Antonio Rodriguez [ctb], Claudia Carluc [...truncated...]
Maintainer: Ben Straub <ben.x.straub@gsk.com>

Diff between admiral.test versions 0.6.0 dated 2023-06-07 and 0.7.0 dated 2023-09-10

 DESCRIPTION   |    6 +++---
 MD5           |    9 +++++----
 NEWS.md       |    4 ++++
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More information about admiral.test at CRAN
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Package rbcb updated to version 0.1.12 with previous version 0.1.10 dated 2022-03-30

Title: R Interface to Brazilian Central Bank Web Services
Description: The Brazilian Central Bank API delivers many datasets which regard economic activity, regional economy, international economy, public finances, credit indicators and many more. For more information please see <http://dadosabertos.bcb.gov.br/>. These datasets can be accessed through 'rbcb' functions and can be obtained in different data structures common to R ('tibble', 'data.frame', 'xts', ...).
Author: Wilson Freitas <wilson.freitas@gmail.com>
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between rbcb versions 0.1.10 dated 2022-03-30 and 0.1.12 dated 2023-09-10

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Package QuadRoot updated to version 0.2.1 with previous version 0.2.0 dated 2021-09-10

Title: Quadratic Root for any Quadratic Equation
Description: It will assist the user to find simple quadratic roots from any quadratic equation.
Author: Pankaj Das [aut, cre]
Maintainer: Pankaj Das <pankaj.das2@icar.gov.in>

Diff between QuadRoot versions 0.2.0 dated 2021-09-10 and 0.2.1 dated 2023-09-10

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More information about QuadRoot at CRAN
Permanent link

Package mecoturn updated to version 0.3.0 with previous version 0.2.0 dated 2023-06-01

Title: Decipher Microbial Turnover along a Gradient
Description: Two pipelines are provided to study microbial turnover along a gradient, including the beta diversity and microbial abundance change. The 'betaturn' class consists of the steps of community dissimilarity matrix generation, matrix conversion, differential test and visualization. The workflow of 'taxaturn' class includes the taxonomic abundance calculation, abundance transformation, abundance change summary, statistical analysis and visualization. Multiple statistical approaches can contribute to the analysis of microbial turnover.
Author: Chi Liu [aut, cre], Xiangzhen Li [ctb], Minjie Yao [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

Diff between mecoturn versions 0.2.0 dated 2023-06-01 and 0.3.0 dated 2023-09-10

 DESCRIPTION          |   11 ++++++-----
 MD5                  |   12 ++++++------
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 R/import.R           |    4 ++++
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 7 files changed, 28 insertions(+), 16 deletions(-)

More information about mecoturn at CRAN
Permanent link

Package tdaunif updated to version 0.1.1 with previous version 0.1.0 dated 2020-10-26

Title: Uniform Manifold Samplers for Topological Data Analysis
Description: Uniform random samples from simple manifolds, sometimes with noise, are commonly used to test topological data analytic (TDA) tools. This package includes samplers powered by two techniques: analytic volume-preserving parameterizations, as employed by Arvo (1995) <doi:10.1145/218380.218500>, and rejection sampling, as employed by Diaconis, Holmes, and Shahshahani (2013) <doi:10.1214/12-IMSCOLL1006>.
Author: Jason Cory Brunson [aut, cre], Brandon Demkowicz [aut], Sanmati Choudhary [aut]
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>

Diff between tdaunif versions 0.1.0 dated 2020-10-26 and 0.1.1 dated 2023-09-10

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Package RcppArmadillo updated to version 0.12.6.4.0 with previous version 0.12.6.3.0 dated 2023-08-29

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

Diff between RcppArmadillo versions 0.12.6.3.0 dated 2023-08-29 and 0.12.6.4.0 dated 2023-09-10

 ChangeLog                                        |   11 +
 DESCRIPTION                                      |    8 -
 MD5                                              |   38 +++---
 configure                                        |   18 +--
 configure.ac                                     |    2 
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 inst/include/armadillo_bits/op_inv_gen_bones.hpp |   13 +-
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 inst/include/armadillo_bits/op_inv_spd_bones.hpp |    6 -
 inst/include/armadillo_bits/op_inv_spd_meat.hpp  |   87 ---------------
 inst/include/armadillo_bits/traits.hpp           |   12 ++
 inst/include/armadillo_bits/translate_blas.hpp   |    2 
 20 files changed, 218 insertions(+), 303 deletions(-)

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New package radiant.model with initial version 1.6.0
Package: radiant.model
Title: Model Menu for Radiant: Business Analytics using R and Shiny
Version: 1.6.0
Date: 2023-9-6
Description: The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in 'radiant.data'.
Depends: R (>= 4.0.0), radiant.data (>= 1.5.3)
Imports: radiant.basics (>= 1.5.0), shiny (>= 1.7.4), nnet (>= 7.3.12), NeuralNetTools (>= 1.5.1), sandwich (>= 2.3.4), car (>= 2.1.3), ggplot2 (>= 3.4.2), scales (>= 1.2.1), data.tree (>= 0.7.4), stringr (>= 1.1.0), lubridate (>= 1.7.2), tidyr (>= 0.8.2), dplyr (>= 1.1.2), tidyselect (>= 1.2.0), rlang (>= 0.4.10), magrittr (>= 1.5), DiagrammeR (>= 1.0.9), import (>= 1.1.0), psych (>= 1.8.4), e1071 (>= 1.6.8), rpart (>= 4.1.11), ggrepel (>= 0.8), broom (>= 0.7.0), patchwork (>= 1.0.0), ranger (>= 0.11.2), xgboost (>= 1.6.0.1), pdp (>= 0.8.1), vip (>= 0.3.2), stringi, yaml
Suggests: testthat (>= 2.0.0), pkgdown (>= 1.1.0)
URL: https://github.com/radiant-rstats/radiant.model/, https://radiant-rstats.github.io/radiant.model/, https://radiant-rstats.github.io/docs/
BugReports: https://github.com/radiant-rstats/radiant.model/issues/
License: AGPL-3 | file LICENSE
LazyData: true
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-09-10 00:16:55 UTC; vnijs
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>
Repository: CRAN
Date/Publication: 2023-09-10 09:20:05 UTC

More information about radiant.model at CRAN
Permanent link

Package pbdMPI updated to version 0.5-0 with previous version 0.4-6 dated 2022-10-25

Title: R Interface to MPI for HPC Clusters (Programming with Big Data Project)
Description: A simplified, efficient, interface to MPI for HPC clusters. It is a derivation and rethinking of the Rmpi package. pbdMPI embraces the prevalent parallel programming style on HPC clusters. Beyond the interface, a collection of functions for global work with distributed data and resource-independent RNG reproducibility is included. It is based on S4 classes and methods.
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut], Drew Schmidt [aut], Pragneshkumar Patel [aut], Hao Yu [aut], Christian Heckendorf [ctb] , Brian Ripley [ctb] , R Core team [ctb] , Sebastien Lamy de la Chapelle [aut]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdMPI versions 0.4-6 dated 2022-10-25 and 0.5-0 dated 2023-09-10

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Package jlmerclusterperm updated to version 1.0.5 with previous version 1.0.4 dated 2023-09-06

Title: Cluster-Based Permutation Analysis for Densely Sampled Time Data
Description: An implementation of fast cluster-based permutation analysis (CPA) for densely-sampled time data developed in Maris & Oostenveld, 2007 <doi:10.1016/j.jneumeth.2007.03.024>. Supports (generalized, mixed-effects) regression models for the calculation of timewise statistics. Provides both a wholesale and a piecemeal interface to the CPA procedure with an emphasis on interpretability and diagnostics. Integrates 'Julia' libraries 'MixedModels.jl' and 'GLM.jl' for performance improvements, with additional functionalities for interfacing with 'Julia' from 'R' powered by the 'JuliaConnectoR' package.
Author: June Choe [aut, cre, cph]
Maintainer: June Choe <jchoe001@gmail.com>

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Package glmnetUtils updated to version 1.1.9 with previous version 1.1.8 dated 2021-02-25

Title: Utilities for 'Glmnet'
Description: Provides a formula interface for the 'glmnet' package for elasticnet regression, a method for cross-validating the alpha parameter, and other quality-of-life tools.
Author: Microsoft [cph], Hong Ooi [aut, cre]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package exdex updated to version 1.2.2 with previous version 1.2.1 dated 2022-04-16

Title: Estimation of the Extremal Index
Description: Performs frequentist inference for the extremal index of a stationary time series. Two types of methodology are used. One type is based on a model that relates the distribution of block maxima to the marginal distribution of series and leads to the semiparametric maxima estimators described in Northrop (2015) <doi:10.1007/s10687-015-0221-5> and Berghaus and Bucher (2018) <doi:10.1214/17-AOS1621>. Sliding block maxima are used to increase precision of estimation. A graphical block size diagnostic is provided. The other type of methodology uses a model for the distribution of threshold inter-exceedance times (Ferro and Segers (2003) <doi:10.1111/1467-9868.00401>). Three versions of this type of approach are provided: the iterated weight least squares approach of Suveges (2007) <doi:10.1007/s10687-007-0034-2>, the K-gaps model of Suveges and Davison (2010) <doi:10.1214/09-AOAS292> and a similar approach of Holesovsky and Fusek (2020) <doi:10.1007/s1068 [...truncated...]
Author: Paul J. Northrop [aut, cre, cph], Constantinos Christodoulides [aut, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package BsMD updated to version 2023.915 with previous version 2023.707 dated 2023-07-07

Title: Bayes Screening and Model Discrimination
Description: Bayes screening and model discrimination follow-up designs.
Author: Ernesto Barrios based on Daniel Meyer's code.
Maintainer: Ernesto Barrios <ebarrios@itam.mx>

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New package dacc with initial version 0.0-1
Package: dacc
Title: Detection and Attribution Analysis of Climate Change
Version: 0.0-1
Date: 2023-09-08
Description: Conduct detection and attribution of climate change using methods including optimal fingerprinting via generalized total least squares or estimating equation. Provide shrinkage estimators for covariance matrix from Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, and Ledoit and Wolf (2017) <doi:10.2139/ssrn.2383361>.
Depends: R (>= 3.5.0)
Imports: MASS, stats, utils, Iso, pracma, janitor, magrittr
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/LiYanStat/dacc
BugReports: https://github.com/LiYanStat/dacc/issues
Repository: CRAN
NeedsCompilation: no
Packaged: 2023-09-08 17:18:02 UTC; yzl0317
Author: Yan Li [aut, cre], Kun Chen [aut], Jun Yan [aut]
Maintainer: Yan Li <yan.4.li@uconn.edu>
Date/Publication: 2023-09-10 08:00:02 UTC

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Package xportr (with last version 0.3.0) was removed from CRAN

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

2023-06-21 0.3.0
2023-02-23 0.2.0
2022-06-21 0.1.0

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Package censobr (with last version 0.1.0) was removed from CRAN

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

2023-09-06 0.1.0

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Package EWSmethods (with last version 1.1.2) was removed from CRAN

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

2023-04-25 1.1.2

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Package neuralGAM (with last version 1.0.0) was removed from CRAN

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

2023-09-07 1.0.0

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Package CoastlineFD (with last version 0.1.4) was removed from CRAN

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

2023-08-24 0.1.4

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Package fmtr updated to version 1.6.0 with previous version 1.5.9 dated 2022-09-08

Title: Easily Apply Formats to Data
Description: Contains a set of functions that can be used to apply formats to data frames or vectors. The package aims to provide to functionality similar to that of SAS® formats. Formats are assigned to the format attribute on data frame columns. Then when the fdata() function is called, a new data frame is created with the column data formatted as specified. The package also contains a value() function to create a user-defined format, similar to a SAS® user-defined format.
Author: David Bosak
Maintainer: David Bosak <dbosak01@gmail.com>

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Package BACCO updated to version 2.1-0 with previous version 2.0-9 dated 2013-12-12

Title: Bayesian Analysis of Computer Code Output (BACCO)
Description: The BACCO bundle of packages is replaced by the BACCO package, which provides a vignette that illustrates the constituent packages (emulator, approximator, calibrator) in use.
Author: Robin K. S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package maq updated to version 0.3.0 with previous version 0.2.0 dated 2023-09-03

Title: Multi-Armed Qini
Description: Evaluate treatment rules for costly and mutually exclusive treatment arms with Qini curves as proposed in Sverdrup, Wu, Athey, and Wager (2023) <arXiv:2306.11979>.
Author: Erik Sverdrup [aut, cre], Han Wu [aut], Susan Athey [aut], Stefan Wager [aut]
Maintainer: Erik Sverdrup <erikcs@stanford.edu>

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Package memery updated to version 0.5.7 with previous version 0.5.6 dated 2021-02-14

Title: Internet Memes for Data Analysts
Description: Generates internet memes that optionally include a superimposed inset plot and other atypical features, combining the visual impact of an attention-grabbing meme with graphic results of data analysis. The package differs from related packages that focus on imitating and reproducing standard memes. Some packages do this by interfacing with online meme generators whereas others achieve this natively. This package takes the latter approach. It does not interface with online meme generators or require any authentication with external websites. It reads images directly from local files or via URL and meme generation is done by the package. While this is similar to the 'meme' package available on CRAN, it differs in that the focus is on allowing for non-standard meme layouts and hybrids of memes mixed with graphs. While this package can be used to make basic memes like an online meme generator would produce, it caters primarily to hybrid graph-meme plots where the meme presentation can be se [...truncated...]
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <mfleonawicz@gmail.com>

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Package lcars updated to version 0.3.8 with previous version 0.3.7 dated 2021-06-01

Title: LCARS Aesthetic for Shiny
Description: Provides Shiny widgets and theme that support a 'Library Computer Access/Retrieval System' (LCARS) aesthetic for Shiny apps. The package also includes functions for adding a minimal LCARS theme to static 'ggplot2' graphs. More details about LCARS can be found at <https://en.wikipedia.org/wiki/LCARS>.
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <mfleonawicz@gmail.com>

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Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.