Mon, 04 Mar 2024

Package psBayesborrow updated to version 1.1.0 with previous version 1.0.0 dated 2024-02-09

Title: Bayesian Information Borrowing with Propensity Score Matching
Description: Hybrid control design is a way to borrow information from external controls to augment concurrent controls in a randomized controlled trial and is expected to overcome the feasibility issue when adequate randomized controlled trials cannot be conducted. A major challenge in the hybrid control design is its inability to eliminate a prior-data conflict caused by systematic imbalances in measured or unmeasured confounding factors between patients in the concurrent treatment/control group and external controls. To prevent the prior-data conflict, a combined use of propensity score matching and Bayesian commensurate prior has been proposed in the context of hybrid control design. The propensity score matching is first performed to guarantee the balance in baseline characteristics, and then the Bayesian commensurate prior is constructed while discounting the information based on the similarity in outcomes between the concurrent and external controls. 'psBayesborrow' is a package to implement [...truncated...]
Author: Yusuke Yamaguchi [aut, cre], Jun Takeda [aut], Kentaro Takeda [aut]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>

Diff between psBayesborrow versions 1.0.0 dated 2024-02-09 and 1.1.0 dated 2024-03-04

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Package geotopbricks updated to version 1.5.8.2 with previous version 1.5.8.0 dated 2024-01-08

Title: An R Plug-in for the Distributed Hydrological Model GEOtop
Description: It analyzes raster maps and other information as input/output files from the Hydrological Distributed Model GEOtop. It contains functions and methods to import maps and other keywords from geotop.inpts file. Some examples with simulation cases of GEOtop 2.x/3.x are presented in the package. Any information about the GEOtop Distributed Hydrological Model source code is available on www.geotop.org. Technical details about the model are available in Endrizzi et al (2014) <https://gmd.copernicus.org/articles/7/2831/2014/gmd-7-2831-2014.html>.
Author: Emanuele Cordano
Maintainer: Emanuele Cordano <emanuele.cordano@gmail.com>

Diff between geotopbricks versions 1.5.8.0 dated 2024-01-08 and 1.5.8.2 dated 2024-03-04

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Package smartDesign updated to version 0.74 with previous version 0.72 dated 2021-08-12

Title: Sequential Multiple Assignment Randomized Trial Design
Description: SMART trial design, as described by He, J., McClish, D., Sabo, R. (2021) <doi:10.1080/19466315.2021.1883472>, includes multiple stages of randomization, where participants are randomized to an initial treatment in the first stage and then subsequently re-randomized between treatments in the following stage.
Author: Jason Sinnwell [aut, cre] , Jun He [aut] , Abraham Eyman Casey [aut]
Maintainer: Jason Sinnwell <sinnwell.jason@mayo.edu>

Diff between smartDesign versions 0.72 dated 2021-08-12 and 0.74 dated 2024-03-04

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New package pageviews with initial version 0.6.0
Package: pageviews
Title: An API Client for Wikimedia Traffic Data
Version: 0.6.0
Date: 2024-02-29
Author: Os Keyes [aut, cre], Jeremiah Lewis [ctb]
Maintainer: Os Keyes <ironholds@gmail.com>
Description: Pageview data from the 'Wikimedia' sites, such as 'Wikipedia' <https://www.wikipedia.org/>, from entire projects to per-article levels of granularity, through the new RESTful API and data source <https://wikimedia.org/api/rest_v1/?doc>.
License: MIT + file LICENSE
URL: https://github.com/ironholds/pageviews
BugReports: https://github.com/ironholds/pageviews
Suggests: testthat, knitr, rmarkdown, WikipediR, WikidataR
Imports: jsonlite, httr, curl
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-04 17:49:18 UTC; ironholds
Repository: CRAN
Date/Publication: 2024-03-04 19:20:02 UTC

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New package jlmerclusterperm with initial version 1.1.3
Package: jlmerclusterperm
Title: Cluster-Based Permutation Analysis for Densely Sampled Time Data
Version: 1.1.3
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.
License: MIT + file LICENSE
URL: https://github.com/yjunechoe/jlmerclusterperm, https://yjunechoe.github.io/jlmerclusterperm/
BugReports: https://github.com/yjunechoe/jlmerclusterperm/issues
Depends: R (>= 3.5)
Imports: backports (>= 1.1.7), cli, generics, JuliaConnectoR, lme4, stats, tools, utils
Suggests: broom, broom.mixed, covr, dplyr, eyetrackingR, forcats, future, ggplot2, knitr, MASS, patchwork, readr, rmarkdown, scales, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: Julia (>= 1.8)
NeedsCompilation: no
Packaged: 2024-03-01 15:03:56 UTC; jchoe
Author: June Choe [aut, cre, cph]
Maintainer: June Choe <jchoe001@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-04 19:40:02 UTC

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Package gausscov updated to version 1.1.1 with previous version 1.1.0 dated 2024-02-29

Title: The Gaussian Covariate Method for Variable Selection
Description: The standard linear regression theory whether frequentist or Bayesian is based on an 'assumed (revealed?) truth' (John Tukey) attitude to models. This is reflected in the language of statistical inference which involves a concept of truth, for example confidence intervals, hypothesis testing and consistency. The motivation behind this package was to remove the word true from the theory and practice of linear regression and to replace it by approximation. The approximations considered are the least squares approximations. An approximation is called valid if it contains no irrelevant covariates. This is operationalized using the concept of a Gaussian P-value which is the probability that pure Gaussian noise is better in term of least squares than the covariate. The precise definition given in the paper, it is intuitive and requires only four simple equations. Its overwhelming advantage compared with a standard F P-value is that is is exact and valid whatever the data. In contrast F P [...truncated...]
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <pldavies44@cantab.net>

Diff between gausscov versions 1.1.0 dated 2024-02-29 and 1.1.1 dated 2024-03-04

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Package epidatr updated to version 1.1.1 with previous version 1.1.0 dated 2024-02-29

Title: Client for Delphi's 'Epidata' API
Description: The Delphi 'Epidata' API provides real-time access to epidemiological surveillance data for influenza, 'COVID-19', and other diseases for the USA at various geographical resolutions, both from official government sources such as the Center for Disease Control (CDC) and Google Trends and private partners such as Facebook and Change 'Healthcare'. It is built and maintained by the Carnegie Mellon University Delphi research group. To cite this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API. <https://github.com/cmu-delphi/delphi-epidata>.
Author: Logan Brooks [aut], Dmitry Shemetov [aut], Samuel Gratzl [aut], David Weber [ctb, cre], Alex Reinhart [ctb], Daniel McDonald [ctb], Kean Ming Tan [ctb], Will Townes [ctb], George Haff [ctb], Kathryn Mazaitis [ctb]
Maintainer: David Weber <davidweb@andrew.cmu.edu>

Diff between epidatr versions 1.1.0 dated 2024-02-29 and 1.1.1 dated 2024-03-04

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Package smof updated to version 1.1.0 with previous version 1.0 dated 2023-11-21

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. Reference: Azzalini (2023) <doi:10.1002/sta4.624>.
Author: Adelchi Azzalini [aut, cre]
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>

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Package cata updated to version 0.1.0.5 with previous version 0.1.0.2 dated 2024-02-17

Title: Analysis of Check-All-that-Apply (CATA) Data
Description: Functions for analyzing check-all-that-apply (CATA) data from consumer and sensory tests. Cochran's Q test, McNemar's test, and Penalty-Lift analysis provided, as described in for CATA data analysis by Meyners, Castura & Carr (2013) <doi:10.1016/j.foodqual.2013.06.010>. Cluster analysis can be performed using b-cluster analysis. The quality of cluster analysis solutions can be evaluated using various measures. The methods related to b-cluster analysis are described in a manuscript by Castura, Meyners, Varela & Næs (2022) <doi:10.1016/j.foodqual.2022.104564>. Methods are adapted to product-related hedonic responses by Castura, Meyners, Pohjanheimo, Varela & Næs (2023) <doi:10.1111/joss.12860>.
Author: J.C. Castura [aut, cre, ctb]
Maintainer: J.C. Castura <jcastura@compusense.com>

Diff between cata versions 0.1.0.2 dated 2024-02-17 and 0.1.0.5 dated 2024-03-04

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Package pda updated to version 1.2.7 with previous version 1.2.6 dated 2023-03-08

Title: Privacy-Preserving Distributed Algorithms
Description: A collection of privacy-preserving distributed algorithms for conducting multi-site data analyses. The regression analyses can be linear regression for continuous outcome, logistic regression for binary outcome, Cox proportional hazard regression for time-to event outcome, Poisson regression for count outcome, or multi-categorical regression for nominal or ordinal outcome. The PDA algorithm runs on a lead site and only requires summary statistics from collaborating sites, with one or few iterations. The package can be used together with the online system (<https://pda-ota.pdamethods.org/>) for safe and convenient collaboration. For more information, please visit our software websites: <https://github.com/Penncil/pda>, and <https://pdamethods.org/>.
Author: Chongliang Luo [aut], Rui Duan [aut], Mackenzie Edmondson [aut], Jiayi Tong [aut], Xiaokang Liu [aut], Kenneth Locke [aut], Jiajie Chen [cre], Yong Chen [aut], Penn Computing Inference Learning lab [cph]
Maintainer: Jiajie Chen <jiajie.chen@pennmedicine.upenn.edu>

Diff between pda versions 1.2.6 dated 2023-03-08 and 1.2.7 dated 2024-03-04

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Package docreview (with last version 0.0.1) was removed from CRAN

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

2021-08-17 0.0.1

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Package hpoPlot (with last version 2.4) was removed from CRAN

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

2015-12-14 2.4
2015-08-26 2.2
2015-01-12 2.0
2014-05-10 1.0

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Package vcmeta updated to version 1.3.0 with previous version 1.2.0 dated 2023-06-29

Title: Varying Coefficient Meta-Analysis
Description: Implements functions for varying coefficient meta-analysis methods. These methods do not assume effect size homogeneity. Subgroup effect size comparisons, general linear effect size contrasts, and linear models of effect sizes based on varying coefficient methods can be used to describe effect size heterogeneity. Varying coefficient meta-analysis methods do not require the unrealistic assumptions of the traditional fixed-effect and random-effects meta-analysis methods. For details see: Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett@ucsc.edu>

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Package texmex updated to version 2.4.9 with previous version 2.4.8 dated 2020-12-04

Title: Statistical Modelling of Extreme Values
Description: Statistical extreme value modelling of threshold excesses, maxima and multivariate extremes. Univariate models for threshold excesses and maxima are the Generalised Pareto, and Generalised Extreme Value model respectively. These models may be fitted by using maximum (optionally penalised-)likelihood, or Bayesian estimation, and both classes of models may be fitted with covariates in any/all model parameters. Model diagnostics support the fitting process. Graphical output for visualising fitted models and return level estimates is provided. For serially dependent sequences, the intervals declustering algorithm of Ferro and Segers (2003) <doi:10.1111/1467-9868.00401> is provided, with diagnostic support to aid selection of threshold and declustering horizon. Multivariate modelling is performed via the conditional approach of Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x>, with graphical tools for threshold selection and to diagnose estimation convergence.
Author: Harry Southworth [aut, cre], Janet E. Heffernan [aut], Paul D. Metcalfe [aut], Yiannis Papastathopoulos [ctb], Alec Stephenson [ctb], Stuart Coles [ctb]
Maintainer: Harry Southworth <harry.southworth@gmail.com>

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Package snvecR updated to version 3.9.1 with previous version 3.9.0 dated 2024-03-01

Title: Calculate Earth’s Obliquity and Precession in the Past
Description: Easily calculate precession and obliquity from an orbital solution (defaults to ZB18a from Zeebe and Lourens (2019) <doi:10.1126/science.aax0612>) and assumed or reconstructed values for tidal dissipation (Td) and dynamical ellipticity (Ed). This is a translation and adaptation of the C-code in the supplementary material to Zeebe and Lourens (2022) <doi:10.1029/2021PA004349>, with further details on the methodology described in Zeebe (2022) <doi:10.3847/1538-3881/ac80f8>. The name of the C-routine is snvec, which refers to the key units of computation: spin vector s and orbit normal vector n.
Author: Ilja Kocken [aut, cre, trl, cph] , Richard Zeebe [aut]
Maintainer: Ilja Kocken <ikocken@hawaii.edu>

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Package rasterdiv updated to version 0.3.4 with previous version 0.3.1 dated 2022-11-24

Title: Diversity Indices for Numerical Matrices
Description: Provides methods to calculate diversity indices on numerical matrices based on information theory, as described in Rocchini, Marcantonio and Ricotta (2017) <doi:10.1016/j.ecolind.2016.07.039>, and Rocchini et al. (2021) <doi:10.1101/2021.01.23.427872>.
Author: Matteo Marcantonio [aut, cre], Martina Iannacito [aut, ctb], Elisa Marchetto [ctb], Elisa Thouverai [aut, ctb], Michele Torresani [aut, ctb], Daniele Da Re [aut], Clara Tattoni [aut], Giovanni Bacaro [aut], Saverio Vicario [aut, ctb], Carlo Ricotta [ [...truncated...]
Maintainer: Matteo Marcantonio <marcantoniomatteo@gmail.com>

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Package qrmtools updated to version 0.0-17 with previous version 0.0-16 dated 2022-08-12

Title: Tools for Quantitative Risk Management
Description: Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.
Author: Marius Hofert [aut, cre], Kurt Hornik [aut], Alexander J. McNeil [aut]
Maintainer: Marius Hofert <mhofert@hku.hk>

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Package qrmdata updated to version 2024-03-04-2 with previous version 2022-05-31-1 dated 2022-06-01

Title: Data Sets for Quantitative Risk Management Practice
Description: Various data sets (stocks, stock indices, constituent data, FX, zero-coupon bond yield curves, volatility, commodities) for Quantitative Risk Management practice.
Author: Marius Hofert [aut, cre], Kurt Hornik [aut], Alexander J. McNeil [aut]
Maintainer: Marius Hofert <mhofert@hku.hk>

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Package nvmix updated to version 0.1-1 with previous version 0.1-0 dated 2022-04-26

Title: Multivariate Normal Variance Mixtures
Description: Functions for working with (grouped) multivariate normal variance mixture distributions (evaluation of distribution functions and densities, random number generation and parameter estimation), including Student's t distribution for non-integer degrees-of-freedom as well as the grouped t distribution and copula with multiple degrees-of-freedom parameters. See <doi:10.18637/jss.v102.i02> for a high-level description of select functionality.
Author: Marius Hofert [aut, cre], Erik Hintz [aut], Christiane Lemieux [aut]
Maintainer: Marius Hofert <mhofert@hku.hk>

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Package crop updated to version 0.0-3 with previous version 0.0-2 dated 2015-10-19

Title: Graphics Cropping Tool
Description: A device closing function which is able to crop graphics (e.g., PDF, PNG files) on Unix-like operating systems with the required underlying command-line tools installed.
Author: Marius Hofert [aut, cre]
Maintainer: Marius Hofert <mhofert@hku.hk>

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Package coala updated to version 0.7.2 with previous version 0.7.1 dated 2023-01-05

Title: A Framework for Coalescent Simulation
Description: Coalescent simulators can rapidly simulate biological sequences evolving according to a given model of evolution. You can use this package to specify such models, to conduct the simulations and to calculate additional statistics from the results (Staab, Metzler, 2016 <doi:10.1093/bioinformatics/btw098>). It relies on existing simulators for doing the simulation, and currently supports the programs 'ms', 'msms' and 'scrm'. It also supports finite-sites mutation models by combining the simulators with the program 'seq-gen'. Coala provides functions for calculating certain summary statistics, which can also be applied to actual biological data. One possibility to import data is through the 'PopGenome' package (<https://github.com/pievos101/PopGenome>).
Author: Paul Staab [aut], Dirk Metzler [aut, ths, cre], Jorge E. Amaya Romero [ctb]
Maintainer: Dirk Metzler <metzler@bio.lmu.de>

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Package BayesMortalityPlus updated to version 0.2.3 with previous version 0.2.2 dated 2024-02-02

Title: Bayesian Mortality Modelling
Description: Fit Bayesian graduation mortality using the Heligman-Pollard model, as seen in Heligman, L., & Pollard, J. H. (1980) <doi:10.1017/S0020268100040257> and Dellaportas, Petros, et al. (2001) <doi:10.1111/1467-985X.00202>, and dynamic linear model (Campagnoli, P., Petris, G., and Petrone, S. (2009) <doi:10.1007/b135794_2>). While Heligman-Pollard has parameters with a straightforward interpretation yielding some rich analysis, the dynamic linear model provides a very flexible adjustment of the mortality curves by controlling the discount factor value. Closing methods for both Heligman-Pollard and dynamic linear model were also implemented according to Dodd, Erengul, et al. (2018) <https://www.jstor.org/stable/48547511>. The Bayesian Lee-Carter model is also implemented to fit historical mortality tables time series to predict the mortality in the following years and to do improvement analysis, as seen in Lee, R. D., & Carter, L. R. (1992) <doi:10.1080/016 [...truncated...]
Author: Laboratorio de Matematica Aplicada
Maintainer: Luiz Fernando Figueiredo <labmapackage@gmail.com>

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Package predint updated to version 2.2.1 with previous version 2.2.0 dated 2023-09-29

Title: Prediction Intervals
Description: An implementation of prediction intervals for overdispersed count data, for overdispersed binomial data and for linear random effects models.
Author: Max Menssen [aut, cre]
Maintainer: Max Menssen <menssen@cell.uni-hannover.de>

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Package manymome.table updated to version 0.3.0 with previous version 0.2.0 dated 2023-11-08

Title: Publication-Ready Tables for 'manymome' Results
Description: Converts results from the 'manymome' package, presented in Cheung and Cheung (2023) <doi:10.3758/s13428-023-02224-z>, to publication-ready tables.
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package froth updated to version 1.1.0 with previous version 1.0.0 dated 2023-11-24

Title: Emulate a 'Forth' Programming Environment
Description: Emulates a 'Forth' programming environment with added features to interface between R and 'Forth'. Implements most of the functionality described in the original "Starting Forth" textbook <https://www.forth.com/starting-forth/>.
Author: Aidan Lakshman [aut, cre]
Maintainer: Aidan Lakshman <ahl27@pitt.edu>

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Package drake updated to version 7.13.9 with previous version 7.13.8 dated 2023-11-06

Title: A Pipeline Toolkit for Reproducible Computation at Scale
Description: A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://docs.ropensci.org/drake/> and the online manual <https://books.ropensci.org/drake/>.
Author: William Michael Landau [aut, cre] , Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Mueller [ctb], Ben Bond-Lamberty [ctb] , Tristan Mahr [ctb] , Miles McBain [ctb] , Noam Ross [ctb] , Ellis Hughes [ctb], Matthew Mark Strasiotto [ctb], Ben Marwick [...truncated...]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package clustermq updated to version 0.9.4 with previous version 0.9.3 dated 2024-01-09

Title: Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque)
Description: Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.
Author: Michael Schubert [aut, cre, cph] , ZeroMQ authors [aut, cph]
Maintainer: Michael Schubert <mschu.dev@gmail.com>

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Package parquetize updated to version 0.5.7 with previous version 0.5.6.1 dated 2023-05-10

Title: Convert Files to Parquet Format
Description: Collection of functions to get files in parquet format. Parquet is a columnar storage file format <https://parquet.apache.org/>. The files to convert can be of several formats ("csv", "RData", "rds", "RSQLite", "json", "ndjson", "SAS", "SPSS"...).
Author: Damien Dotta [aut, cre], Nicolas Chuche [aut]
Maintainer: Damien Dotta <damien.dotta@live.fr>

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Package ggedit updated to version 0.4.1 with previous version 0.4.0 dated 2024-02-26

Title: Interactive 'ggplot2' Layer and Theme Aesthetic Editor
Description: Interactively edit 'ggplot2' layer and theme aesthetics definitions.
Author: Jonathan Sidi [aut, cre]
Maintainer: Jonathan Sidi <yonicd@gmail.com>

Diff between ggedit versions 0.4.0 dated 2024-02-26 and 0.4.1 dated 2024-03-04

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Package eventstudyr updated to version 1.1.3 with previous version 1.1.2 dated 2024-01-23

Title: Estimation and Visualization of Linear Panel Event Studies
Description: Estimates linear panel event study models. Plots coefficients following the recommendations in Freyaldenhoven et al. (2021) <doi:10.3386/w29170>. Includes sup-t bands, testing for key hypotheses, least wiggly path through the Wald region. Allows instrumental variables estimation following Freyaldenhoven et al. (2019) <doi:10.1257/aer.20180609>.
Author: Simon Freyaldenhoven [aut], Christian Hansen [aut], Jorge Perez Perez [aut], Jesse Shapiro [aut], Veli Andirin [aut], Richard Calvo [aut], Santiago Hermo [aut, cre], Nathan Schor [aut], Emily Wang [aut], JMSLab [cph], Ryan Kessler [cph]
Maintainer: Santiago Hermo <santiago.hermo@monash.edu>

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Package bayesanova updated to version 1.6 with previous version 1.5 dated 2021-10-28

Title: Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models
Description: Provides a Bayesian version of the analysis of variance based on a three-component Gaussian mixture for which a Gibbs sampler produces posterior draws. For details about the Bayesian ANOVA based on Gaussian mixtures, see Kelter (2019) <arXiv:1906.07524>.
Author: Riko Kelter
Maintainer: Riko Kelter <riko_k@gmx.de>

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Package partR2 updated to version 0.9.2 with previous version 0.9.1 dated 2021-01-18

Title: Partitioning R2 in GLMMs
Description: Partitioning the R2 of GLMMs into variation explained by each predictor and combination of predictors using semi-partial (part) R2 and inclusive R2. Methods are based on the R2 for GLMMs described in Nakagawa & Schielzeth (2013) and Nakagawa, Johnson & Schielzeth (2017).
Author: Martin A. Stoffel [aut, cre], Shinichi Nakagawa [aut], Holger Schielzeth [aut]
Maintainer: Martin A. Stoffel <martin.adam.stoffel@gmail.com>

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Package microeco updated to version 1.5.0 with previous version 1.4.0 dated 2024-01-22

Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Umer Zeeshan Ijaz [ctb], Chenhao Li [ctb], Yang Cao [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package hubeau updated to version 0.5.0 with previous version 0.4.1 dated 2023-05-31

Title: Get Data from the French National Database on Water 'Hub'Eau'
Description: Collection of functions to help retrieving data from 'Hub'Eau' the free and public French National APIs on water <https://hubeau.eaufrance.fr/>.
Author: David Dorchies [aut, cre] , Pascal Irz [ctb] , Sebastien Grall [ctb], Philippe Amiotte Suchet [ctb]
Maintainer: David Dorchies <david.dorchies@inrae.fr>

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Package colorRamps updated to version 2.3.2 with previous version 2.3.1 dated 2022-05-02

Title: Builds Color Tables
Description: Builds gradient color maps.
Author: Tim Keitt [aut, cre], CRAN Team [ctb]
Maintainer: ORPHANED

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Package tinythemes updated to version 0.0.2 with previous version 0.0.1 dated 2023-12-18

Title: Lightweight Repackaging of 'Themes' for 'ggplot2'
Description: Themes for 'ggplot2' are a convenient way to style plots. The 'hrbrthemes' package contains a particularly nice one, but brings along a significant tail of dependencies. So this (currently experimental) package brings along just the 'theme_ipsum_rc' theme using the 'Roboto' 'Condensed' font. Should the font not be installed on your system, see the help in the package 'hrbrthemes' on how to install 'Roboto Condensed'.
Author: Dirk Eddelbuettel [aut, cre] , Bob Rudis [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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New package rexer with initial version 1.0.0
Package: rexer
Title: Random Exercises and Exams Generator
Version: 1.0.0
Description: The main purpose of this package is to streamline the generation of exams that include random elements in exercises. Exercises can be defined in a table, based on text and figures, and may contain gaps to be filled with provided options. Exam documents can be generated in various formats. It allows us to generate a version for conducting the assessment and another version that facilitates correction, linked through a code.
License: MIT + file LICENSE
URL: https://josesamos.github.io/rexer/, https://github.com/josesamos/rexer
BugReports: https://github.com/josesamos/rexer/issues
Imports: readr, readxl, rmarkdown, snakecase, stringr, tidyr, xlsx
Suggests: knitr, pander, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-01 16:15:04 UTC; joses
Author: Jose Samos [aut, cre] , Universidad de Granada [cph]
Maintainer: Jose Samos <jsamos@ugr.es>
Repository: CRAN
Date/Publication: 2024-03-04 11:10:02 UTC

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Package GWSDAT updated to version 3.2.1 with previous version 3.2.0 dated 2023-11-06

Title: GroundWater Spatiotemporal Data Analysis Tool (GWSDAT)
Description: Shiny application for the analysis of groundwater monitoring data, designed to work with simple time-series data for solute concentration and ground water elevation, but can also plot non-aqueous phase liquid (NAPL) thickness if required. Also provides the import of a site basemap in GIS shapefile format.
Author: Wayne Jones <wayne.w.jones@shell.com>, Ludger Evers <ludger.evers@glasgow.ac.uk>, Andrej Aderhold <andrej.aderhold@protonmail.com>
Maintainer: Wayne Jones <wayne.w.jones@shell.com>

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New package grouprar with initial version 0.1.0
Package: grouprar
Title: Group Response Adaptive Randomization for Clinical Trials
Version: 0.1.0
Date: 2024-2-3
Description: Implement group response-adaptive randomization procedures, which also integrates standard non-group response-adaptive randomization methods as specialized instances. It is also uniquely capable of managing complex scenarios, including those with delayed and missing responses, thereby expanding its utility in real-world applications. This package offers 16 functions for simulating a variety of response adaptive randomization procedures. These functions are essential for guiding the selection of statistical methods in clinical trials, providing a flexible and effective approach to trial design. Some of the detailed methodologies and algorithms used in this package, please refer to the following references: LJ Wei (1979) <doi:10.1214/aos/1176344614> L. J. WEI and S. DURHAM (1978) <doi:10.1080/01621459.1978.10480109> Durham, S. D., FlournoY, N. AND LI, W. (1998) <doi:10.2307/3315771> Ivanova, A., Rosenberger, W. F., Durham, S. D. and Flournoy, N. (2000) <https://www.j [...truncated...]
License: GPL (>= 2)
Imports: ggplot2 (>= 3.3.0), gridExtra (>= 2.3), stringr (>= 1.4.0), methods, extraDistr, tidyr, stats
Depends: R (>= 3.6.0)
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2024-03-01 17:21:19 UTC; guannanzhai
Author: Guannan Zhai [aut, cre], Feifang Hu [aut, ths]
Maintainer: Guannan Zhai <guannanzhai1996@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-04 11:20:02 UTC

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Package FinAsym (with last version 1.0) was removed from CRAN

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

2012-04-03 1.0

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Package RNaviCell (with last version 0.2) was removed from CRAN

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2015-10-29 0.2

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Package validateRS (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:

2015-12-26 1.0.0

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Package AmericanCallOpt (with last version 0.95) was removed from CRAN

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

2012-03-04 0.95

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Package ora (with last version 2.0-1) was removed from CRAN

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

2014-04-10 2.0-1
2013-06-19 2.0-0

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Package dkDNA (with last version 0.1.1) was removed from CRAN

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

2015-05-31 0.1.1
2012-04-20 0.1.0

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Package EnviroPRA (with last version 1.0) was removed from CRAN

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

2017-02-23 1.0

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Package isopat (with last version 1.0) was removed from CRAN

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

2011-07-23 1.0

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New package xegaPopulation with initial version 1.0.0.0
Package: xegaPopulation
Title: Genetic Population Level Functions
Version: 1.0.0.0
Description: This collection of gene representation-independent functions implements the population layer of extended evolutionary and genetic algorithms and its support. The population layer consists of functions for initializing, logging, observing, evaluating a population of genes, as well as of computing the next population. For parallel evaluation of a population of genes 4 execution models - named Sequential, MultiCore, FutureApply, and Cluster - are provided. They are implemented by configuring the lapply() function. The execution model FutureApply can be externally configured as recommended by Bengtsson (2021) <doi:10.32614/RJ-2021-048>. Configurable acceptance rules and cooling schedules (see Kirkpatrick, S., Gelatt, C. D. J, and Vecchi, M. P. (1983) <doi:10.1126/science.220.4598.671>, and Aarts, E., and Korst, J. (1989, ISBN:0-471-92146-7) offer simulated annealing or greedy randomized approximate search procedure elements. Adaptive crossover and mutation rates depending on po [...truncated...]
License: MIT + file LICENSE
URL: <https://github.com/ageyerschulz/xegaPopulation>
Encoding: UTF-8
Depends: R (>= 4.0.0), parallel, future.apply, utils, stats
Suggests: testthat (>= 3.0.0), future, parallelly
Imports: xegaGaGene, xegaSelectGene
NeedsCompilation: no
Packaged: 2024-03-01 15:06:25 UTC; dj2333
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>
Repository: CRAN
Date/Publication: 2024-03-04 10:50:02 UTC

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New package timeless with initial version 0.1.0
Package: timeless
Title: Fast General Purpose Date/Time Converter
Version: 0.1.0
Description: Fast general purpose date/time converter using 'Rust'. The package implements date time, date and epoch time parser for heterogeneous vectors of dates.
URL: https://github.com/schochastics/timeless, https://schochastics.github.io/timeless/
BugReports: https://github.com/schochastics/timeless/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-03-01 15:23:55 UTC; david
Author: David Schoch [aut, cre] , Rollie Ma [ctb, cph] , Brandon W. Maister [ctb, cph] , Dirkjan Ochtman [ctb, cph] , Seonghoon Kang [ctb, cph] , Eric Sheppard [ctb, cph] , Paul Dicker [ctb, cph]
Maintainer: David Schoch <david@schochastics.net>
Repository: CRAN
Date/Publication: 2024-03-04 11:00:02 UTC

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New package T2DFitTailor with initial version 1.0.0
Package: T2DFitTailor
Title: 'Tailor the Exercise Plans and Visualize the Outcome for T2D Patients'
Version: 1.0.0
Description: A system for personalized exercise plan recommendations for T2D (Type 2 Diabetes) patients based on the primary outcome of HbA1c (Glycated Hemoglobin). You provide the individual's information, and 'T2DFitTailor' details the exercise plan and predicts the intervention's effectiveness.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr,fmsb,graphics,grDevices,httr,jsonlite
NeedsCompilation: no
Packaged: 2024-03-01 02:44:49 UTC; supercheng
Author: Cheng Liu [aut, cre], Xinyu Hou [aut], Bingxiang Xu [aut], Tiemin Liu [aut], Ru Wang [aut]
Maintainer: Cheng Liu <971264017@qq.com>
Repository: CRAN
Date/Publication: 2024-03-04 10:30:06 UTC

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Package SimNPH updated to version 0.5.5 with previous version 0.5.4 dated 2024-01-08

Title: Simulate Non-Proportional Hazards
Description: A toolkit for simulation studies concerning time-to-event endpoints with non-proportional hazards. 'SimNPH' encompasses functions for simulating time-to-event data in various scenarios, simulating different trial designs like fixed-followup, event-driven, and group sequential designs. The package provides functions to calculate the true values of common summary statistics for the implemented scenarios and offers common analysis methods for time-to-event data. Helper functions for running simulations with the 'SimDesign' package and for aggregating and presenting the results are also included. Results of the conducted simulation study are available as preprint: "A neutral comparison of statistical methods for time-to-event analyses under non-proportional hazards", Klinglmueller et al. (2023) <doi:10.48550/ARXIV.2310.05622>.
Author: Tobias Fellinger [aut, cre] , Florian Klinglmueller [aut]
Maintainer: Tobias Fellinger <tobias.fellinger@ages.at>

Diff between SimNPH versions 0.5.4 dated 2024-01-08 and 0.5.5 dated 2024-03-04

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 10 files changed, 142 insertions(+), 82 deletions(-)

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New package seguid with initial version 0.1.0
Package: seguid
Version: 0.1.0
Title: Sequence Globally Unique Identifier (SEGUID) Checksums
Description: Implementation of the original Sequence Globally Unique Identifier (SEGUID) algorithm [Babnigg and Giometti (2006) <doi:10.1002/pmic.200600032>] and SEGUID v2 (<https://www.seguid.org>), which extends SEGUID v1 with support for linear, circular, single- and double-stranded biological sequences, e.g. DNA, RNA, and proteins.
Imports: base64enc, digest
License: MIT + file LICENSE
URL: https://www.seguid.org/
BugReports: https://github.com/seguid/seguid-r/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-01 12:55:12 UTC; henrik
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2024-03-04 10:40:02 UTC

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New package proporz with initial version 1.4.0
Package: proporz
Title: Proportional Apportionment
Version: 1.4.0
Description: Calculate seat apportionment for legislative bodies with various methods. The algorithms include divisor or highest averages methods (e.g. Jefferson, Webster or Adams), largest remainder methods and biproportional apportionment. Gaffke, N. & Pukelsheim, F. (2008) <doi:10.1016/j.mathsocsci.2008.01.004> Oelbermann, K. F. (2016) <doi:10.1016/j.mathsocsci.2016.02.003>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Suggests: shiny, shinyMatrix, testthat, knitr, rmarkdown
URL: https://github.com/polettif/proporz
BugReports: https://github.com/polettif/proporz/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-01 06:18:17 UTC; flavi
Author: Flavio Poletti [aut, cre, cph]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>
Repository: CRAN
Date/Publication: 2024-03-04 10:30:02 UTC

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New package PMEvapotranspiration with initial version 0.1.0
Package: PMEvapotranspiration
Title: Calculation of the Penman-Monteith Evapotranspiration using Weather Variables
Version: 0.1.0
Author: Dr. Himadri Shekhar Roy [aut, cre], Dr. Ranjit Kumar Paul [aut], Dr. Md Yeasin [aut], Dr. Amrit Kumar Paul [aut], Dr. Kamalika Nath [aut]
Maintainer: Dr. Himadri Shekhar Roy <himadriiasri@gmail.com>
Description: The Food and Agriculture Organization-56 Penman-Monteith is one of the important method for estimating evapotranspiration from vegetated land areas. This package helps to calculate reference evapotranspiration using the weather variables collected from weather station. Evapotranspiration is the process of water transfer from the land surface to the atmosphere through evaporation from soil and other surfaces and transpiration from plants. The package aims to support agricultural, hydrological, and environmental research by offering accurate and accessible reference evapotranspiration calculation. This package has been developed using concept of Córdova et al. (2015)<doi:10.1016/j.apm.2022.09.004> and Debnath et al. (2015) <doi:10.1007/s40710-015-0107-1>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-01 11:20:24 UTC; Himadri Roy
Repository: CRAN
Date/Publication: 2024-03-04 10:40:05 UTC

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New package ggscidca with initial version 0.1.0
Package: ggscidca
Title: Plotting Decision Curve Analysis with Coloured Bars
Version: 0.1.0
Maintainer: Qiang Liu <dege857@163.com>
Description: Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The 'ggscidca' package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) <doi:10.1016/S1470-2045(14)71116-7>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2, reshape2, survival
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-03-01 15:06:46 UTC; Administrator
Author: Qiang Liu [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-04 10:50:06 UTC

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New package GFDrmst with initial version 0.1.0
Package: GFDrmst
Title: Multiple RMST-Based Tests in General Factorial Designs
Version: 0.1.0
Maintainer: Merle Munko <merle.munko@ovgu.de>
Description: We implemented multiple tests based on the restricted mean survival time (RMST) for general factorial designs as described in Munko et al. (2024) <doi:10.1002/sim.10017>. Therefore, an asymptotic test, a groupwise bootstrap test, and a permutation test are incorporated with a Wald-type test statistic. The asymptotic and groupwise bootstrap test take the asymptotic exact dependence structure of the test statistics into account to gain more power. Furthermore, confidence intervals for RMST contrasts can be calculated and plotted and a stepwise extension that can improve the power of the multiple tests is available.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: condSURV
Imports: GFDmcv, lpSolve, shinyWidgets, shinyMatrix, shiny (>= 1.5.0), tippy (>= 0.1.0), mvtnorm, MASS (>= 7.3-53), plyr (>= 1.8.6), shinyjs (>= 2.0.0), shinythemes (>= 1.1.2)
NeedsCompilation: no
Packaged: 2024-03-01 15:02:32 UTC; munko
Author: Marc Ditzhaus [aut], Dennis Dobler [aut], Marc Kindop [aut], Merle Munko [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-04 10:40:08 UTC

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New package EMgaussian with initial version 0.2.1
Package: EMgaussian
Encoding: UTF-8
Title: Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data
Version: 0.2.1
Date: 2024-02-15
Maintainer: Carl F. Falk <carl.falk@mcgill.ca>
Description: Initially designed to distribute code for estimating the Gaussian graphical model with Lasso regularization, also known as the graphical lasso (glasso), using an Expectation-Maximization (EM) algorithm based on work by Städler and Bühlmann (2012) <doi:10.1007/s11222-010-9219-7>. As a byproduct, code for estimating means and covariances (or the precision matrix) under a multivariate normal (Gaussian) distribution is also available.
License: GPL (>= 3)
Imports: Rcpp, matrixcalc, Matrix, lavaan, glasso, glassoFast, caret
Suggests: testthat (>= 3.0.0), psych, bootnet, qgraph, cglasso
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-03-01 15:07:00 UTC; CarlFalkMcGill
Author: Carl F. Falk [cre, aut]
Repository: CRAN
Date/Publication: 2024-03-04 10:50:08 UTC

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Package vvtableau updated to version 0.6.0 with previous version 0.5.0 dated 2024-02-01

Title: R Interface for 'Tableau' Services
Description: Provides an R interface for interacting with the 'Tableau' Server. It allows users to perform various operations such as publishing workbooks, refreshing data extracts, and managing users using the 'Tableau' REST API (see <https://help.tableau.com/current/api/rest_api/en-us/REST/rest_api_ref.htm> for details). Additionally, it includes functions to perform manipulations on local 'Tableau' workbooks.
Author: Tomer Iwan [aut, cre], Ruben Korvinus [ctb], VU Analytics [cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>

Diff between vvtableau versions 0.5.0 dated 2024-02-01 and 0.6.0 dated 2024-03-04

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Package SDPDmod updated to version 0.0.4 with previous version 0.0.3 dated 2023-05-30

Title: Spatial Dynamic Panel Data Modeling
Description: Spatial model calculation for static and dynamic panel data models, weights matrix creation and Bayesian model comparison. Bayesian model comparison methods were described by 'LeSage' (2014) <doi:10.1016/j.spasta.2014.02.002>. The 'Lee'-'Yu' transformation approach is described in 'Yu', 'De Jong' and 'Lee' (2008) <doi:10.1016/j.jeconom.2008.08.002>, 'Lee' and 'Yu' (2010) <doi:10.1016/j.jeconom.2009.08.001> and 'Lee' and 'Yu' (2010) <doi:10.1017/S0266466609100099>.
Author: Rozeta Simonovska [aut, cre]
Maintainer: Rozeta Simonovska <simonovska.r@gmail.com>

Diff between SDPDmod versions 0.0.3 dated 2023-05-30 and 0.0.4 dated 2024-03-04

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Package mangoTraining (with last version 1.1.1) was removed from CRAN

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

2021-04-28 1.1.1

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Package GENEAsphere (with last version 1.5.1) was removed from CRAN

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

2019-12-05 1.5.1

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Package forecast updated to version 8.22.0 with previous version 8.21.1 dated 2023-08-31

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] , George Athanasopoulos [aut] , Christoph Bergmeir [aut] , Gabriel Caceres [aut] , Leanne Chhay [aut], Kirill Kuroptev [aut], Mitchell O'Hara-Wild [aut] , Fotios Petropoulos [aut] , Slava Razbash [aut], Earo Wang [aut] , F [...truncated...]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between forecast versions 8.21.1 dated 2023-08-31 and 8.22.0 dated 2024-03-04

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Package MSML updated to version 1.0.0.1 with previous version 1.0.0.0 dated 2023-12-21

Title: Model Selection Based on Machine Learning (ML)
Description: Model evaluation based on a modified version of the recursive feature elimination algorithm. This package is designed to determine the optimal model(s) by leveraging all available features.
Author: Hong Lee [aut, cph], Moksedul Momin [aut, cre, cph]
Maintainer: Moksedul Momin <cvasu.momin@gmail.com>

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Package bookdown updated to version 0.38 with previous version 0.37 dated 2023-12-01

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] , Christophe Dervieux [ctb] , JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] , Aust Frederik [ctb] , Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Clif [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between bookdown versions 0.37 dated 2023-12-01 and 0.38 dated 2024-03-04

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