Mon, 06 Jul 2020

Package sunburstR updated to version 2.1.4 with previous version 2.1.3 dated 2019-11-05

Title: Sunburst 'Htmlwidget'
Description: Make interactive 'd3.js' sequence sunburst diagrams in R with the convenience and infrastructure of an 'htmlwidget'.
Author: Mike Bostock [aut, cph] (d3.js library, http://d3js.org), Kerry Rodden [aut, cph] (sequences library in htmlwidgets/lib, https://gist.github.com/kerryrodden/7090426), Kevin Warne [aut, cph] (d2b sunburst library in htmlwidgets/lib, https://github.com/d2bjs/d2b), Kent Russell [aut, cre] (R interface), Florian Breitwieser [ctb] (R interface), CJ Yetman [ctb] (R interface, <https://orcid.org/0000-0001-5099-9500>)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

Diff between sunburstR versions 2.1.3 dated 2019-11-05 and 2.1.4 dated 2020-07-06

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Package round updated to version 0.12-2 with previous version 0.12-1 dated 2020-01-24

Title: Rounding to Decimal Digits
Description: Decimal rounding is non-trivial in binary arithmetic. ISO standard round to even is more rare than typically assumed as most decimal fractions are not exactly representable in binary. Our roundX() versions explore differences between current and potential future versions of round() in R. Further, provides (some partly related) C99 math lib functions not in base R.
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), R-core [ctb] ("r1.C" only)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between round versions 0.12-1 dated 2020-01-24 and 0.12-2 dated 2020-07-06

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Package TrialSize updated to version 1.4 with previous version 1.3 dated 2013-06-03

Title: R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size Calculation in Clinical Research
Description: Functions and Examples in Sample Size Calculation in Clinical Research.
Author: Ed Zhang ; Vicky Qian Wu ; Shein-Chung Chow ; Harry G.Zhang (Quality check) <ed.zhang.jr@gmail.com>
Maintainer: Vicky Qian Wu <wuqian7@gmail.com>

Diff between TrialSize versions 1.3 dated 2013-06-03 and 1.4 dated 2020-07-06

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Package rdbnomics updated to version 0.6.2 with previous version 0.6.1 dated 2020-04-23

Title: Download DBnomics Data
Description: R access to hundreds of millions data series from DBnomics API (<https://db.nomics.world/>).
Author: Sebastien Galais [cre, ctb], Thomas Brand [aut]
Maintainer: Sebastien Galais <s915.stem@gmail.com>

Diff between rdbnomics versions 0.6.1 dated 2020-04-23 and 0.6.2 dated 2020-07-06

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Package miceFast updated to version 0.6.1 with previous version 0.5.1 dated 2019-08-19

Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Description: Fast imputations under the object-oriented programming paradigm. Moreover there are offered a few functions built to work with popular R packages such as 'data.table' or 'dplyr'. The biggest improvement in time performance could be achieve for a calculation where a grouping variable have to be used. A single evaluation of a quantitative model for the multiple imputations is another major enhancement. A new major improvement is one of the fastest predictive mean matching in the R world because of presorting and binary search.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

Diff between miceFast versions 0.5.1 dated 2019-08-19 and 0.6.1 dated 2020-07-06

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More information about miceFast at CRAN
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Package rabhit (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:

2020-01-29 0.1.4
2019-05-08 0.1.1
2019-04-09 0.1.0.0

Permanent link
Package natmanager updated to version 0.4.6 with previous version 0.4.0 dated 2020-03-11

Title: Install the 'Natverse' Packages from Scratch
Description: Provides streamlined installation for packages from the 'natverse', a suite of R packages for computational neuroanatomy built on top of the 'nat' 'NeuroAnatomy Toolbox' package. Installation of the complete 'natverse' suite requires a 'GitHub' user account and personal access token 'GITHUB_PAT'. 'natmanager' will help the end user set this up if necessary.
Author: Sridhar Jagannathan [aut, cre] (<https://orcid.org/0000-0002-2078-1145>), Gregory Jefferis [aut] (<https://orcid.org/0000-0002-0587-9355>)
Maintainer: Sridhar Jagannathan <j.sridharrajan@gmail.com>

Diff between natmanager versions 0.4.0 dated 2020-03-11 and 0.4.6 dated 2020-07-06

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Package rstantools updated to version 2.1.1 with previous version 2.1.0 dated 2020-06-01

Title: Tools for Developing R Packages Interfacing with 'Stan'
Description: Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
Author: Jonah Gabry [aut, cre], Ben Goodrich [aut], Martin Lysy [aut], Stefan Siegert [ctb], Trustees of Columbia University [cph]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between rstantools versions 2.1.0 dated 2020-06-01 and 2.1.1 dated 2020-07-06

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Package robis updated to version 2.3.9 with previous version 2.1.8 dated 2019-06-03

Title: Ocean Biodiversity Information System (OBIS) Client
Description: Client for the Ocean Biodiversity Information System (<https://obis.org>).
Author: Pieter Provoost [cre, aut], Samuel Bosch [aut], Ward Appeltans [ctb], OBIS [cph]
Maintainer: Pieter Provoost <pieterprovoost@gmail.com>

Diff between robis versions 2.1.8 dated 2019-06-03 and 2.3.9 dated 2020-07-06

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New package pchc with initial version 0.1
Package: pchc
Type: Package
Title: Bayesian Network Learning with the PCHC Algorithm
Version: 0.1
URL:
Date: 2020-07-05
Authors@R: c(person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr"))
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 3.6.0)
Imports: bnlearn, Rfast, robustbase, stats
Description: Bayesian network learning using the PCHC algorithm. PCHC stands for PC Hill-Climbing. It is a new hybrid algorithm that used PC to construct the skeleton of the BN and then utilizes the Hill-Climbing greedy search. The relevant paper has been submitted and is currently in revision.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-07-06 14:00:10 UTC; user
Repository: CRAN
Date/Publication: 2020-07-06 16:30:03 UTC

More information about pchc at CRAN
Permanent link

Package npreg updated to version 1.0-3 with previous version 1.0-2 dated 2020-05-04

Title: Nonparametric Regression via Smoothing Splines
Description: Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors, interactions between smoothers of mixed types, and eight different methods for smoothing parameter selection.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

Diff between npreg versions 1.0-2 dated 2020-05-04 and 1.0-3 dated 2020-07-06

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Package klic updated to version 1.0.4 with previous version 1.0.2 dated 2020-04-03

Title: Kernel Learning Integrative Clustering
Description: Kernel Learning Integrative Clustering (KLIC) is an algorithm that allows to combine multiple kernels, each representing a different measure of the similarity between a set of observations. The contribution of each kernel on the final clustering is weighted according to the amount of information carried by it. As well as providing the functions required to perform the kernel-based clustering, this package also allows the user to simply give the data as input: the kernels are then built using consensus clustering. Different strategies to choose the best number of clusters are also available. For further details please see Cabassi and Kirk (2020) <doi:10.1093/bioinformatics/btaa593>.
Author: Alessandra Cabassi [aut, cre] (<https://orcid.org/0000-0003-1605-652X>), Paul DW Kirk [ths] (<https://orcid.org/0000-0002-5931-7489>), Mehmet Gonen [ctb] (<https://orcid.org/0000-0002-2483-075X>)
Maintainer: Alessandra Cabassi <alessandra.cabassi@mrc-bsu.cam.ac.uk>

Diff between klic versions 1.0.2 dated 2020-04-03 and 1.0.4 dated 2020-07-06

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Package ioanalysis updated to version 0.3.3 with previous version 0.3.2 dated 2020-06-08

Title: Input Output Analysis
Description: Calculates fundamental IO matrices (Leontief, Wassily W. (1951) <doi:10.1038/scientificamerican1051-15>); within period analysis via various rankings and coefficients (Sonis and Hewings (2006) <doi:10.1080/09535319200000013>, Blair and Miller (2009) <ISBN:978-0-521-73902-3>, Antras et al (2012) <doi:10.3386/w17819>, Hummels, Ishii, and Yi (2001) <doi:10.1016/S0022-1996(00)00093-3>); across period analysis with impact analysis (Dietzenbacher, van der Linden, and Steenge (2006) <doi:10.1080/09535319300000017>, Sonis, Hewings, and Guo (2006) <doi:10.1080/09535319600000002>); and a variety of table operators.
Author: John Wade [aut, cre], Ignacio Sarmiento-Barbieri [aut]
Maintainer: John Wade <jjpwade2@illinois.edu>

Diff between ioanalysis versions 0.3.2 dated 2020-06-08 and 0.3.3 dated 2020-07-06

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Package coca updated to version 1.1.0 with previous version 1.0.4 dated 2020-03-26

Title: Cluster-of-Clusters Analysis
Description: Contains the R functions needed to perform Cluster-Of-Clusters Analysis (COCA) and Consensus Clustering (CC). For further details please see Cabassi and Kirk (2020) <doi:10.1093/bioinformatics/btaa593>.
Author: Alessandra Cabassi [aut, cre] (<https://orcid.org/0000-0003-1605-652X>), Paul DW Kirk [ths] (<https://orcid.org/0000-0002-5931-7489>)
Maintainer: Alessandra Cabassi <alessandra.cabassi@mrc-bsu.cam.ac.uk>

Diff between coca versions 1.0.4 dated 2020-03-26 and 1.1.0 dated 2020-07-06

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New package tidygate with initial version 0.2.7
Package: tidygate
Type: Package
Title: Add Gate Information to Your Tibble
Version: 0.2.7
Authors@R: c(person(given = "Stefano", family = "Mangiola", role = c("aut", "cre"), email = "mangiolastefano@gmail.com"), person(given = "Wajid", family = "Jawaid", role = "ctb"))
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>
Description: It interactively or programmatically label points within custom gates on two dimensions. The information is added to your tibble. It is based on the package 'gatepoints' from Wajid Jawaid. The benefits are (i) in interactive mode you can draw your gates on extensive 'ggplot'-like scatter plots; (ii) you can draw multiple gates; and (iii) you can save your gates and apply the programmatically.
License: GPL-3
Depends: R (>= 3.6.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: methods, lme4, stats, utils, graphics, lifecycle, gatepoints, scales, magrittr, tibble, dplyr, tidyselect, purrr, rlang, tidyr, viridis, grDevices, RColorBrewer, stringr
RdMacros: lifecycle
Suggests: testthat, markdown, knitr
VignetteBuilder: knitr
Biarch: true
biocViews: AssayDomain, Infrastructure
NeedsCompilation: no
Packaged: 2020-07-06 11:30:24 UTC; mangiola.s
Author: Stefano Mangiola [aut, cre], Wajid Jawaid [ctb]
Repository: CRAN
Date/Publication: 2020-07-06 15:20:03 UTC

More information about tidygate at CRAN
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Package rEDM updated to version 1.5.0 with previous version 1.3.8.5 dated 2020-06-23

Title: Empirical Dynamic Modeling ('EDM')
Description: An implementation of 'EDM' algorithms based on research software developed for internal use at the Sugihara Lab ('UCSD/SIO'). The package is implemented with 'Rcpp' wrappers around the 'cppEDM' library. It implements the 'simplex' projection method from Sugihara & May (1990) <doi:10.1038/344734a0>, the 'S-map' algorithm from Sugihara (1994) <doi:10.1098/rsta.1994.0106>, convergent cross mapping described in Sugihara et al. (2012) <doi:10.1126/science.1227079>, and, 'multiview embedding' described in Ye & Sugihara (2016) <doi:10.1126/science.aag0863>.
Author: Joseph Park [aut, cre] (ORCID:0000-0001-5411-1409), Cameron Smith [aut], George Sugihara [aut, ccp] (ORCID:0000-0002-2863-6946), Ethan Deyle [aut] (ORCID:0000-0001-8704-8434), Erik Saberski [ctb] (ORCID:0000-0002-6475-6187), Hao Ye [ctb] (<https://orcid.org/0000-0002-8630-1458>), The Regents of the University of California [cph]
Maintainer: Joseph Park <JosephPark@IEEE.org>

Diff between rEDM versions 1.3.8.5 dated 2020-06-23 and 1.5.0 dated 2020-07-06

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New package pexm with initial version 1.0.0
Package: pexm
Type: Package
Title: Loading a JAGS Module for the Piecewise Exponential Distribution
Authors@R: c(person(given = "Vinicius", family = "Mayrink", role = c("aut","cre"), email = "vdinizm@gmail.com", comment = c(ORCID = "0000-0002-5683-8326")), person(given = "Joao", family = "Duarte", role = c("aut")), person(given = "Fabio", family = "Demarqui", role = c("ctb"), comment = c(ORCID = "0000-0001-9236-1986")))
Version: 1.0.0
Description: Load the Just Another Gibbs Sampling (JAGS) module 'pexm'. The module provides the tools to work with the Piecewise Exponential (PE) distribution in a Bayesian model with the corresponding Markov Chain Monte Carlo algorithm (Gibbs Sampling) implemented via JAGS. Details about the module implementation can be found in Mayrink et al. (2020) <arXiv:2004.12359>.
Depends: coda, rjags
Imports: msm
Encoding: UTF-8
License: GPL-3
URL: https://github.com/vdinizm/pexm
BugReports: https://github.com/vdinizm/pexm/issues
NeedsCompilation: yes
RoxygenNote: 7.1.1
Suggests: testthat
Packaged: 2020-07-06 12:46:22 UTC; vinicius
Author: Vinicius Mayrink [aut, cre] (<https://orcid.org/0000-0002-5683-8326>), Joao Duarte [aut], Fabio Demarqui [ctb] (<https://orcid.org/0000-0001-9236-1986>)
Maintainer: Vinicius Mayrink <vdinizm@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-06 15:20:10 UTC

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New package mrgsim.parallel with initial version 0.1.1
Package: mrgsim.parallel
Type: Package
Title: Simulate with 'mrgsolve' in Parallel
Version: 0.1.1
Author: Kyle Baron
Maintainer: Kyle Baron <kylebtwin@imap.cc>
Description: Simulation from an 'mrgsolve' <https://cran.r-project.org/package=mrgsolve> model using a parallel backend. Input data sets are split (chunked) and simulated in parallel using mclapply() or future_lapply() <https://cran.r-project.org/package=future.apply>.
License: GPL (>= 2)
Imports: parallel, dplyr, future.apply
Depends: mrgsolve, R (>= 3.5.0)
Suggests: testthat
Encoding: UTF-8
LazyData: true
URL: https://github.com/kylebaron/mrgsim.parallel
BugReports: https://github.com/kylebaron/mrgsim.parallel/issues
RoxygenNote: 7.1.1
Language: en-US
NeedsCompilation: no
Packaged: 2020-07-06 12:10:36 UTC; kyleb
Repository: CRAN
Date/Publication: 2020-07-06 15:30:02 UTC

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Package HydeNet updated to version 0.10.11 with previous version 0.10.10 dated 2020-05-15

Title: Hybrid Bayesian Networks Using R and JAGS
Description: Facilities for easy implementation of hybrid Bayesian networks using R. Bayesian networks are directed acyclic graphs representing joint probability distributions, where each node represents a random variable and each edge represents conditionality. The full joint distribution is therefore factorized as a product of conditional densities, where each node is assumed to be independent of its non-descendents given information on its parent nodes. Since exact, closed-form algorithms are computationally burdensome for inference within hybrid networks that contain a combination of continuous and discrete nodes, particle-based approximation techniques like Markov Chain Monte Carlo are popular. We provide a user-friendly interface to constructing these networks and running inference using the 'rjags' package. Econometric analyses (maximum expected utility under competing policies, value of information) involving decision and utility nodes are also supported.
Author: Jarrod E. Dalton <daltonj@ccf.org> and Benjamin Nutter <benjamin.nutter@gmail.com>
Maintainer: Benjamin Nutter <benjamin.nutter@gmail.com>

Diff between HydeNet versions 0.10.10 dated 2020-05-15 and 0.10.11 dated 2020-07-06

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Package erah updated to version 1.1.1 with previous version 1.1.0 dated 2018-07-11

Title: Automated Spectral Deconvolution, Alignment, and Metabolite Identification in GC/MS-Based Untargeted Metabolomics
Description: Automated compound deconvolution, alignment across samples, and identification of metabolites by spectral library matching in Gas Chromatography - Mass spectrometry (GC-MS) untargeted metabolomics. Outputs a table with compound names, matching scores and the integrated area of the compound for each sample. Package implementation is described in Domingo-Almenara et al. (2016) <doi:10.1021/acs.analchem.6b02927>.
Author: Xavier Domingo-Almenara [aut, cre, cph], Jasen P. Finch [ctb], Sara Samino [aut], Maria Vinaixa [aut], Alexandre Perera [aut, ths], Jesus Brezmes [aut, ths], Oscar Yanes [aut, ths]
Maintainer: Xavier Domingo-Almenara <xavier.domingoa@eurecat.org>

Diff between erah versions 1.1.0 dated 2018-07-11 and 1.1.1 dated 2020-07-06

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New package eBsc with initial version 4.9
Package: eBsc
Type: Package
Title: Empirical Bayes Smoothing Splines with Correlated Errors
Version: 4.9
Date: 2020-06-13
Authors@R: c(person(given = "Francisco", family = "Rosales", role = c("aut", "cre"), email = "francisco@brein.pe"), person(given = "Tatyana", family = "Krivobokova", role = "aut"), person(given = "Paulo", family = "Serra", role = "aut"))
Description: Presents a statistical method that uses a recursive algorithm for signal extraction. The method handles a non-parametric estimation for the correlation of the errors. For details on the methods see: Serra et al. (2018) <arXiv:1812.06948>.
License: GPL-2
Imports: Brobdingnag, parallel, nlme, Matrix, MASS, splines, Rcpp
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-07-06 14:26:13 UTC; francisco
Author: Francisco Rosales [aut, cre], Tatyana Krivobokova [aut], Paulo Serra [aut]
Maintainer: Francisco Rosales <francisco@brein.pe>
Repository: CRAN
Date/Publication: 2020-07-06 15:40:02 UTC

More information about eBsc at CRAN
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Package rNeighborGWAS updated to version 1.2.0 with previous version 1.0.0 dated 2020-04-15

Title: Testing Neighbor Effects in Marker-Based Regressions
Description: To incorporate neighbor genotypic identity into genome-wide association studies, the package provides a set of functions for variation partitioning and association mapping. The theoretical background of the method is described in Sato et al. (2019) <doi:10.1101/845735>.
Author: Yasuhiro Sato [aut, cre] (<https://orcid.org/0000-0002-6466-723X>), Eiji Yamamoto [aut], Kentaro K. Shimizu [aut] (<https://orcid.org/0000-0002-6483-1781>), Atsushi J. Nagano [aut] (<https://orcid.org/0000-0001-7891-5049>)
Maintainer: Yasuhiro Sato <sato.yasuhiro.36c@kyoto-u.jp>

Diff between rNeighborGWAS versions 1.0.0 dated 2020-04-15 and 1.2.0 dated 2020-07-06

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More information about rNeighborGWAS at CRAN
Permanent link

New package paropt with initial version 0.1
Package: paropt
Type: Package
Title: Parameter Optimizing of ODE-Systems
Version: 0.1
Date: 2020-07-28
Author: Krämer Konrad [aut, cre], Krämer Johannes [aut], Heyer Arnd [ths], University of Stuttgart [uvp], Institute of Biomaterials and Biomolecular Systems at the University of Stuttgart [his] | file AUTHORS
Maintainer: Krämer Konrad <Konrad_kraemer@yahoo.de>
Copyright: file COPYRIGHTS
Description: Enable optimization of parameters of ordinary differential equations. Therefore, using 'SUNDIALS' to solve the ODE-System (see Hindmarsh, Alan C., Peter N. Brown, Keith E. Grant, Steven L. Lee, Radu Serban, Dan E. Shumaker, and Carol S. Woodward. (2005) <doi:10.1145/1089014.1089020>). Furthermore, for optimization the particle swarm algorithm is used (see: Akman, Devin, Olcay Akman, and Elsa Schaefer. (2018) <doi:10.1155/2018/9160793> and Sengupta, Saptarshi, Sanchita Basak, and Richard Peters. (2018) <doi:10.3390/make1010010>). The ODE-System has to be passed as 'Rcpp'-function. The information for the parameter boundaries and states are conveyed using text-files.
License: GPL-3 | file LICENSE
Imports: Rcpp (>= 1.0.4)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-07-03 07:54:24 UTC; Tobi
Repository: CRAN
Date/Publication: 2020-07-06 14:10:02 UTC

More information about paropt at CRAN
Permanent link

Package expss updated to version 0.10.5 with previous version 0.10.2 dated 2020-03-25

Title: Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Description: Package computes and displays tables with support for 'SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE', 'COUNT', 'COMPUTE', 'DO IF', 'COUNTIF', 'VLOOKUP' and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from 'Excel' and 'SPSS' to R.
Author: Gregory Demin [aut, cre], Sebastian Jeworutzki [ctb] (<https://orcid.org/0000-0002-2671-5253>)
Maintainer: Gregory Demin <gdemin@gmail.com>

Diff between expss versions 0.10.2 dated 2020-03-25 and 0.10.5 dated 2020-07-06

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Permanent link

New package greekLetters with initial version 0.0.7
Package: greekLetters
Type: Package
Title: Routines for Writing Greek Letters and Mathematical Symbols on the 'RStudio' and 'RGui'
Version: 0.0.7
Authors@R: person(given = "Kevin Allan", family = "Sales Rodrigues", role = c("aut", "cre"), email = "kevin.asr@outlook.com", comment = c(ORCID = "0000-0003-4925-5883"))
Author: Kevin Allan Sales Rodrigues [aut, cre] (<https://orcid.org/0000-0003-4925-5883>)
Maintainer: Kevin Allan Sales Rodrigues <kevin.asr@outlook.com>
Description: An implementation of functions to display Greek letters on the 'RStudio' (include subscript and superscript indexes) and 'RGui' (without subscripts and only with superscript 1, 2 or 3; because 'RGui' doesn't support printing the corresponding Unicode characters as a string: all subscripts ranging from 0 to 9 and superscripts equal to 0, 4, 5, 6, 7, 8 or 9). The functions in this package do not work properly on the R console. Characters are used via Unicode and encoded as UTF-8 to ensure that they can be viewed on all operating systems. Other characters related to mathematics are included, such as the infinity symbol. All this accessible from very simple commands. This is a package that can be used for teaching purposes, the statistical notation for hypothesis testing can be written from this package and so it is possible to build a course from the 'swirlify' package. Another utility of this package is to create new summary functions that contain the functional form of the model adjusted with the Greek letters, thus making the transition from statistical theory to practice easier. In addition, it is a natural extension of the 'clisymbols' package.
License: GPL (>= 3.0)
Depends: R (>= 3.0.0)
Encoding: UTF-8
LazyData: false
Imports: stringr, stats, assertthat
Suggests: clisymbols, swirlify, swirl, testthat (>= 2.1.0)
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-03 21:17:32 UTC; kevin
Repository: CRAN
Date/Publication: 2020-07-06 15:00:02 UTC

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Package ds4psy updated to version 0.4.0 with previous version 0.3.0 dated 2020-06-15

Title: Data Science for Psychologists
Description: All datasets and functions required for the examples and exercises of the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2020), available at <https://bookdown.org/hneth/ds4psy/>. The book and course introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for data generation and manipulation (e.g., of text and time data) and graphics that are used in the book and its exercises. All functions included in 'ds4psy' are designed to be instructive and entertaining, rather than elegant or efficient.
Author: Hansjoerg Neth [aut, cre] (<https://orcid.org/0000-0001-5427-3141>)
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

Diff between ds4psy versions 0.3.0 dated 2020-06-15 and 0.4.0 dated 2020-07-06

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 69 files changed, 1674 insertions(+), 919 deletions(-)

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Package WeightedCluster updated to version 1.4-1 with previous version 1.4 dated 2019-03-21

Title: Clustering of Weighted Data
Description: Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting clusters of state sequences.
Author: Matthias Studer [aut, cre]
Maintainer: Matthias Studer <matthias.studer@unige.ch>

Diff between WeightedCluster versions 1.4 dated 2019-03-21 and 1.4-1 dated 2020-07-06

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New package specs with initial version 0.1.0
Package: specs
Title: Single-Equation Penalized Error-Correction Selector (SPECS)
Version: 0.1.0
Authors@R: c(person(given = "Etienne", family = "Wijler", role = c("aut","cre"), email = "e.wijler@maastrichtuniversity.nl"), person(given = "Stephan", family = "Smeekes", role = "aut", email = "s.smeekes@maastrichtuniversity.nl", comment = c(ORCID = "0000-0002-0157-639X")) )
Maintainer: Etienne Wijler <e.wijler@maastrichtuniversity.nl>
Description: Implementation of SPECS, your favourite Single-Equation Penalized Error-Correction Selector developed in Smeekes and Wijler (2020) <arXiv:1809.08889>. SPECS provides a fully automated estimation procedure for large and potentially (co)integrated datasets. The dataset in levels is converted to a conditional error-correction model, either by the user or by means of the functions included in this package, and various specialised forms of penalized regression can be applied to the model. Automated options for initializing and selecting a sequence of penalties, as well as the construction of penalty weights via an initial estimator, are available. Moreover, the user may choose from a number of pre-specified deterministic configurations to further simplify the model building process.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2020-07-05 18:02:12 UTC; Etienne
Author: Etienne Wijler [aut, cre], Stephan Smeekes [aut] (<https://orcid.org/0000-0002-0157-639X>)
Repository: CRAN
Date/Publication: 2020-07-06 13:40:02 UTC

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New package sgpv with initial version 1.0.0
Package: sgpv
Title: Calculate Second-Generation p-Values and Associated Measures
Date: 2020-06-23
Version: 1.0.0
Authors@R: c( person("Valerie", "Welty", email = "valerie.welty@vanderbilt.edu", role = c("aut", "cre")), person("Thomas", "Stewart", email = "thomas.stewart@vanderbilt.edu", role = "aut"), person("Robert", "Greevy, Jr.", email = "robert.greevy@vanderbilt.edu", role = "aut"), person("Lucy", "D'Agostino McGowan", email = "ld.mcgowan@jhu.edu", role = "aut"), person("Jeffrey", "Blume", email = "j.blume@vanderbilt.edu", role = c("aut")) )
Maintainer: Valerie Welty <valerie.welty@vanderbilt.edu>
Depends: R (>= 3.3.3)
License: MIT + file LICENSE
Description: Computation of second-generation p-values as described in Blume et al. (2018) <doi:10.1371/journal.pone.0188299> and Blume et al. (2019) <doi:10.1080/00031305.2018.1537893>. There are additional functions which provide power and type I error calculations, create graphs (particularly suited for large-scale inference usage), and a function to estimate false discovery rates based on second-generation p-value inference.
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-23 15:56:25 UTC; valeriewelty
Author: Valerie Welty [aut, cre], Thomas Stewart [aut], Robert Greevy, Jr. [aut], Lucy D'Agostino McGowan [aut], Jeffrey Blume [aut]
Repository: CRAN
Date/Publication: 2020-07-06 13:40:05 UTC

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New package roxut with initial version 0.2.23
Package: roxut
Type: Package
Title: Document Unit Tests Roxygen-Style
Version: 0.2.23
Date: 2020-07-04
Authors@R: c( person("Bryan A.", "Hanson", role = c("aut", "cre"), email = "hanson@depauw.edu", comment = c(ORCID = "0000-0003-3536-8246")), person(given = "Hadley", family = "Wickham", role = c("aut", "cph"), comment = "roxygen2 code"), person(given = "Peter", family = "Danenberg", role = c("aut", "cph"), comment = "roxygen2 code"), person(given = "Gábor", family = "Csárdi", role = "aut", comment = "roxygen2 code"), person(given = "Manuel", family = "Eugster", role = c("aut", "cph"), comment = "roxygen2 code"), person(given = "RStudio", role = "cph", comment = "roxygen2 code"))
Description: Much as 'roxygen2' allows one to document functions in the same file as the function itself, 'roxut' allows one to write the unit tests in the same file as the function. Once processed, the unit tests are moved to the appropriate directory. Currently supports 'testthat' and 'tinytest' frameworks. The 'roxygen2' package provides much of the infrastructure.
URL: https://github.com/bryanhanson/roxut
BugReports: https://github.com/bryanhanson/roxut/issues
License: GPL-3
Encoding: UTF-8
Depends: roxygen2 (>= 7.1)
Suggests: tinytest, testthat
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-07-05 01:13:13 UTC; bryanhanson
Author: Bryan A. Hanson [aut, cre] (<https://orcid.org/0000-0003-3536-8246>), Hadley Wickham [aut, cph] (roxygen2 code), Peter Danenberg [aut, cph] (roxygen2 code), Gábor Csárdi [aut] (roxygen2 code), Manuel Eugster [aut, cph] (roxygen2 code), RStudio [cph] (roxygen2 code)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>
Repository: CRAN
Date/Publication: 2020-07-06 13:50:02 UTC

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Package Rcpp updated to version 1.0.5 with previous version 1.0.4.6 dated 2020-04-09

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 1.0.4.6 dated 2020-04-09 and 1.0.5 dated 2020-07-06

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Package GetoptLong updated to version 1.0.2 with previous version 1.0.1 dated 2020-07-05

Title: Parsing Command-Line Arguments and Simple Variable Interpolation
Description: This is a command-line argument parser which wraps the powerful Perl module Getopt::Long and with some adaptations for easier use in R. It also provides a simple way for variable interpolation in R.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between GetoptLong versions 1.0.1 dated 2020-07-05 and 1.0.2 dated 2020-07-06

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 7 files changed, 111 insertions(+), 48 deletions(-)

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New package evident with initial version 1.0.2
Package: evident
Type: Package
Title: Evidence Factors in Observational Studies
Version: 1.0.2
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu>
Description: Contains a collection of examples of evidence factors in observational studies; e.g., Rosenbaum (2017) <doi:10.1214/17-STS621>. The examples are collected to aid readers of a book in preparation, "Replication and Evidence Factors in Observational Studies".
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: stats, MASS, sensitivity2x2xk, graphics, sensitivitymult, sensitivitymv, senstrat, DOS2
Suggests: optmatch, DiPs, approxmatch
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2020-07-04 18:22:02 UTC; Paul Rosenbaum
Repository: CRAN
Date/Publication: 2020-07-06 13:30:02 UTC

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New package clipp with initial version 0.1.0
Package: clipp
Type: Package
Title: Calculating Likelihoods by Pedigree Paring
Version: 0.1.0
Authors@R: c(person(given = "James", family = "Dowty", role = c("aut", "cre"), email = "jgdowty@gmail.com"), person(given = "Kevin", family = "Wong", role = c("aut"), email = "wongck.kevin@gmail.com"))
Description: A fast and general implementation of the Elston-Stewart algorithm that can calculate the likelihoods of large and complex pedigrees without loops. References for the Elston-Stewart algorithm are Elston & Stewart (1971) <doi:10.1159/000152448>, Lange & Elston (1975) <doi:10.1159/000152714> and Cannings et al. (1978) <doi:10.2307/1426718>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-06 10:01:31 UTC; jdowty
Author: James Dowty [aut, cre], Kevin Wong [aut]
Maintainer: James Dowty <jgdowty@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-06 14:00:02 UTC

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New package Rmbal with initial version 0.1.0
Package: Rmbal
Title: Estimate Original Hydrocarbon in Place and Reservoir Performance
Version: 0.1.0
Date: 2020-07-05
Authors@R: person(given = "Farshad", family = "Tabasinejad", role = c("aut", "cre"), email = "farshad.tabasinejad@susaenergy.com")
Description: Material balance analysis for oil and gas reservoirs. Initial hydrocarbon in place and production forecasts are generated using PVT (Pressure-Volume-Temperature) and historical injection and production data. The current version provides history-match and prediction models for dry-gas, wet-gas, gas condensate, volatile oil, and black oil reservoirs. Walsh, M. P., Ansah, Joseph, and Raghavan, Rajagopal (1994) <doi:10.2118/27684-MS>. Walsh, M. P., Ansah, Joseph, and Raghavan, Rajagopal (1994) <doi:10.2118/27728-MS>. Walsh, M. P. (1995) <doi:10.2118/95-01-07>.
License: GPL-3
URL: https://susaenergy.github.io/Rmbal_ws/
Imports: pracma, gsl, magrittr, minpack.lm, Rdpack
RdMacros: Rdpack
Suggests: Rpvt, Rrelperm, knitr, rmarkdown, testthat, ggplot2, dplyr, tidyr
Language: en-US
Encoding: UTF-8
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-04 04:42:34 UTC; ftn60
Author: Farshad Tabasinejad [aut, cre]
Maintainer: Farshad Tabasinejad <farshad.tabasinejad@susaenergy.com>
Repository: CRAN
Date/Publication: 2020-07-06 12:10:06 UTC

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Package rJava updated to version 0.9-13 with previous version 0.9-12 dated 2020-03-24

Title: Low-Level R to Java Interface
Description: Low-level interface to Java VM very much like .C/.Call and friends. Allows creation of objects, calling methods and accessing fields.
Author: Simon Urbanek <simon.urbanek@r-project.org>
Maintainer: Simon Urbanek <simon.urbanek@r-project.org>

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New package GGMncv with initial version 1.0.0
Package: GGMncv
Type: Package
Title: Gaussian Graphical Models with Non-Convex Penalties
Version: 1.0.0
Date: 2020-07-03
Authors@R: person("Donald", "Williams", email = "drwwilliams@ucdavis.edu", role = c("aut", "cre"))
Description: Estimate Gaussian graphical models with non-convex penalties, including the atan Wang and Zhu (2016) <doi:10.1155/2016/6495417>, seamless L0 Dicker, Huang, and Lin (2013) <doi:10.5705/ss.2011.074>, exponential Wang, Fan, and Zhu <doi:10.1007/s10463-016-0588-3>, smooth integration of counting and absolute deviation Lv and Fan (2009) <doi:10.1214/09-AOS683>, logarithm Mazumder, Friedman, and Hastie (2011) <doi:10.1198/jasa.2011.tm09738>, Lq, smoothly clipped absolute deviation Fan and Li (2001) <doi:10.1198/016214501753382273>, and minimax concave penalty Zhang (2010) <doi:10.1214/09-AOS729>. There are also extensions for computing variable inclusion probabilities and multiple regression coefficients.
License: GPL-2
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.4.6), Rdpack (>= 0.11-1), ggplot2 (>= 3.3.0), glassoFast (>= 1.0), numDeriv (>= 2016.8-1.1), methods, psych (>= 1.9.12.31), stats, utils
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
LinkingTo: Rcpp, RcppArmadillo
RdMacros: Rdpack
BugReports: https://github.com/donaldRwilliams/GGMncv/issues
NeedsCompilation: yes
Packaged: 2020-07-04 23:19:27 UTC; Donny
Author: Donald Williams [aut, cre]
Maintainer: Donald Williams <drwwilliams@ucdavis.edu>
Repository: CRAN
Date/Publication: 2020-07-06 12:40:03 UTC

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Package bnma updated to version 1.2.0 with previous version 1.1.2 dated 2020-04-26

Title: Bayesian Network Meta-Analysis using 'JAGS'
Description: Network meta-analyses using Bayesian framework following Dias et al. (2013) <DOI:10.1177/0272989X12458724>. Based on the data input, creates prior, model file, and initial values needed to run models in 'rjags'. Able to handle binomial, normal and multinomial arm-based data. Can handle multi-arm trials and includes methods to incorporate covariate and baseline risk effects. Includes standard diagnostics and visualization tools to evaluate the results.
Author: Michael Seo [aut, cre], Christopher Schmid [aut]
Maintainer: Michael Seo <swj8874@gmail.com>

Diff between bnma versions 1.1.2 dated 2020-04-26 and 1.2.0 dated 2020-07-06

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Package symengine updated to version 0.1.5 with previous version 0.1.3 dated 2020-05-07

Title: Interface to the 'SymEngine' Library
Description: Provides an R interface to 'SymEngine' <https://github.com/symengine/>, a standalone 'C++' library for fast symbolic manipulation. The package has functionalities for symbolic computation like calculating exact mathematical expressions, solving systems of linear equations and code generation.
Author: Jialin Ma [cre, aut], Isuru Fernando [aut], Xin Chen [aut]
Maintainer: Jialin Ma <marlin@inventati.org>

Diff between symengine versions 0.1.3 dated 2020-05-07 and 0.1.5 dated 2020-07-06

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Package mlr3verse updated to version 0.1.3 with previous version 0.1.1 dated 2020-01-19

Title: Easily Install and Load the 'mlr3' Package Family
Description: The 'mlr3' package family is a set of packages for machine-learning purposes built in a modular fashion. This wrapper package is aimed to simplify the installation and loading of the core 'mlr3' packages. Get more information about the 'mlr3' project at <https://mlr3book.mlr-org.com/>.
Author: Patrick Schratz [cre, aut] (<https://orcid.org/0000-0003-0748-6624>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

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Package lmm updated to version 1.3 with previous version 1.2 dated 2018-06-30

Title: Linear Mixed Models
Description: It implements Expectation/Conditional Maximization Either (ECME) and rapidly converging algorithms as well as Bayesian inference for linear mixed models, which is described in Schafer, J.L. (1998) "Some improved procedures for linear mixed models". Dept. of Statistics, The Pennsylvania State University.
Author: Original by Joseph L. Schafer
Maintainer: Jing hua Zhao <jinghuazhao@hotmail.com>

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New package florestal with initial version 0.1.0
Package: florestal
Type: Package
Title: Results for Forest Inventories
Version: 0.1.0
Author: Igor Cobelo Ferreira
Maintainer: Igor Cobelo Ferreira <cobelo.igor@gmail.com>
Description: The functions return sampling parameters for forest inventories with tables and graphics. Methods used in the package refers to Pellico e Brena (1997) <https://bit.ly/2BDbHJI>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
Depends: R(>= 3.5.0)
Imports: ggplot2, data.table, BiodiversityR, cowplot, flextable, officer, dplyr, tidyr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-03 14:09:09 UTC; Igor
Repository: CRAN
Date/Publication: 2020-07-06 11:50:03 UTC

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Package datasailr updated to version 0.8.5 with previous version 0.8.4 dated 2020-06-25

Title: Fast Row by Row Data Processing Tool, Using 'Sailr' Script
Description: A fast row by row data processing tool. You can write data processing code in 'Sailr' scripting language which is specially intended for data manipulation. The package uses 'libsailr' (C/C++ library) for its 'Sailr' code parsing and its execution.
Author: Toshihiro Umehara [aut, cre], Troy Hanson [cph, ctb] (uthash), Howard Hinnant [cph, ctb] (date.h), Adrian Colomitchi [cph, ctb] (date.h), Florian Dang [cph, ctb] (date.h), Paul Thompson [cph, ctb] (date.h), Tomasz Kamiński [cph, ctb] (date.h), Nemanja Trifunovic [cph, ctb] (utfcpp), Kim Grasman [cph, ctb] (getopt_port), Jon Clayden [cph, ctb] (ore package), K.Kosako [cph, ctb] (onigmo author), K.Takata [cph, ctb] (onigmo author), Byte [cph, ctb] (onigmo contributor), KUBO Takehiro [cph, ctb] (onigmo contributor), Free Software Foundation, Inc [cph], X Consortium [cph]
Maintainer: Toshihiro Umehara <toshi@niceume.com>

Diff between datasailr versions 0.8.4 dated 2020-06-25 and 0.8.5 dated 2020-07-06

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Package sen2r updated to version 1.3.7 with previous version 1.3.6 dated 2020-06-04

Title: Find, Download and Process Sentinel-2 Data
Description: Functions to download Sentinel-2 optical images and perform preliminary processing operations. 'sen2r' provides the instruments required to easily perform (and eventually automate) the steps necessary to build a complete Sentinel-2 processing chain. A Graphical User Interface to facilitate data processing is also provided. For additional documentation refer to the following article: Ranghetti et al. (2020) <doi:10.1016/j.cageo.2020.104473>.
Author: Luigi Ranghetti [aut, cre] (<https://orcid.org/0000-0001-6207-5188>), Lorenzo Busetto [aut] (<https://orcid.org/0000-0001-9634-6038>)
Maintainer: Luigi Ranghetti <luigi@ranghetti.info>

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 tests/testthat/test-sen2r-04_indices.R    |    6 
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 tests/testthat/test-sen2r-06_ignorelist.R |    6 
 vignettes/installation.Rmd                |  131 ++++++------
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More information about sen2r at CRAN
Permanent link

New package poliscidata with initial version 2.3.0
Package: poliscidata
Type: Package
Title: Datasets and Functions Featured in Pollock and Edwards, an R Companion to Essentials of Political Analysis, Second Edition
Version: 2.3.0
Author: Barry Edwards and Philip Pollock
Maintainer: Barry Edwards <barry.edwards@ucf.edu>
Description: Bundles the datasets and functions used in the textbook by Philip Pollock and Barry Edwards, an R Companion to Essentials of Political Analysis, Second Edition.
License: CC0
LazyData: TRUE
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
Imports: methods, descr, Hmisc, weights, plyr, gplots, xtable, survey, car, plotrix, abind
Suggests: hexbin, rgl, scatterplot3d, R2HTML, gdata
NeedsCompilation: no
Packaged: 2020-07-04 22:21:49 UTC; User
Repository: CRAN
Date/Publication: 2020-07-06 09:30:03 UTC

More information about poliscidata at CRAN
Permanent link

New package pcal with initial version 1.0.0
Package: pcal
Type: Package
Title: Calibration of P-Values for Point Null Hypothesis Testing
Version: 1.0.0
Authors@R: c( person("Pedro", "Fonseca", email = "pedro.teles.fonseca@outlook.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5708-081X")), person("Rui", "Paulo", role = c("ctb", "ths"), comment = c(ORCID = "0000-0002-4802-527X")), person(given = "FCT", role = "fnd"))
Description: Calibrate p-values under a robust perspective using the methods developed by Sellke, Bayarri, and Berger (2001) <doi:10.1198/000313001300339950> and obtain measures of the evidence provided by the data in favor of point null hypotheses which are safer and more straightforward to interpret.
License: GPL-3 | file LICENSE
URL: https://pedro-teles-fonseca.github.io/pcal/, https://github.com/pedro-teles-fonseca/pcal
BugReports: https://github.com/pedro-teles-fonseca/pcal/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: Rdpack (>= 0.7)
Suggests: covr (>= 3.5.0), testthat (>= 2.3.2), knitr (>= 1.28), rmarkdown (>= 2.1)
RdMacros: Rdpack
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-07-03 19:42:27 UTC; pedro
Author: Pedro Fonseca [aut, cre] (<https://orcid.org/0000-0002-5708-081X>), Rui Paulo [ctb, ths] (<https://orcid.org/0000-0002-4802-527X>), FCT [fnd]
Maintainer: Pedro Fonseca <pedro.teles.fonseca@outlook.com>
Repository: CRAN
Date/Publication: 2020-07-06 09:20:09 UTC

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Package nnGarrote updated to version 1.0.3 with previous version 1.0.2 dated 2020-03-16

Title: Non-Negative Garrote Estimation with Penalized Initial Estimators
Description: Functions to compute the non-negative garrote estimator as proposed by Breiman (1995) <https://www.jstor.org/stable/1269730> with the penalized initial estimators extension as proposed by Yuan and Lin (2007) <https://www.jstor.org/stable/4623260>.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Stefan Van Aelst <stefan.vanaelst@kuleuven.be>, Ruben Zamar <ruben@stat.ubc.ca>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

Diff between nnGarrote versions 1.0.2 dated 2020-03-16 and 1.0.3 dated 2020-07-06

 DESCRIPTION              |    8 ++++----
 MD5                      |   18 +++++++++---------
 NEWS.md                  |    3 +++
 R/coef.nnGarrote.R       |    3 +--
 R/nnGarrote.R            |    3 +--
 R/predict.nnGarrote.R    |    3 +--
 README.md                |    2 +-
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New package netClust with initial version 1.0
Package: netClust
Type: Package
Title: Model-Based Clustering of Network Data
Version: 1.0
Date: 2020-06-09
Author: Shuchismita Sarkar [aut, cre], Volodymyr Melnykov [aut]
Maintainer: Shuchismita Sarkar <ssarkar@bgsu.edu>
Description: Clustering unilayer and multilayer network data by means of finite mixtures is the main utility of 'netClust'.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.2)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-07-05 06:15:05 UTC; shuch
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-07-06 09:30:07 UTC

More information about netClust at CRAN
Permanent link

Package mutSignatures updated to version 2.0.1 with previous version 1.2 dated 2017-01-24

Title: Decipher Mutational Signatures from Somatic Mutational Catalogs
Description: Cancer cells accumulate DNA mutations as result of DNA damage and DNA repair processes. This computational framework is aimed at deciphering DNA mutational signatures operating in cancer. The framework includes modules that support raw data import and processing, mutational signature extraction, and results interpretation and visualization. The framework accepts widely used file formats storing information about DNA variants, such as Variant Call Format files. The framework performs Non-Negative Matrix Factorization to extract mutational signatures explaining the observed set of DNA mutations. Bootstrapping is performed as part of the analysis. The framework supports parallelization and is optimized for use on multi-core systems. The software is based on a custom R-based implementation of the original MATLAB WTSI framework by Alexandrov LB et al (2013) <doi:10.1016/j.celrep.2012.12.008>.
Author: Damiano Fantini, Vania Vidimar, Joshua J Meeks
Maintainer: Damiano Fantini <damiano.fantini@gmail.com>

Diff between mutSignatures versions 1.2 dated 2017-01-24 and 2.0.1 dated 2020-07-06

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Package mob updated to version 0.2.1 with previous version 0.2.0 dated 2020-07-05

Title: Monotonic Optimal Binning
Description: Generate the monotonic binning and perform the woe (weight of evidence) transformation for the logistic regression used in the consumer credit scorecard development. The woe transformation is a piecewise transformation that is linear to the log odds. For a numeric variable, all of its monotonic functional transformations will converge to the same woe transformation.
Author: WenSui Liu
Maintainer: WenSui Liu <liuwensui@gmail.com>

Diff between mob versions 0.2.0 dated 2020-07-05 and 0.2.1 dated 2020-07-06

 DESCRIPTION    |    6 +++---
 MD5            |   10 +++++-----
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 6 files changed, 13 insertions(+), 11 deletions(-)

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New package dashboardthemes with initial version 1.1.1
Package: dashboardthemes
Type: Package
Title: Customise the Appearance of 'shinydashboard' Applications using Themes
Version: 1.1.1
Authors@R: person("Nik", "Lilovski", email = "nik.lilovski@outlook.com", role = c("aut", "cre"))
Maintainer: Nik Lilovski <nik.lilovski@outlook.com>
Description: Allows manual creation of themes and logos to be used in applications created using the 'shinydashboard' package. Removes the need to change the underlying css code by wrapping it into a set of convenient R functions.
URL: https://github.com/nik01010/dashboardthemes
BugReports: https://github.com/nik01010/dashboardthemes/issues
Depends: R (>= 3.2.3)
Imports: htmltools (>= 0.3.5)
Suggests: testthat, lintr, knitr, rmarkdown, glue, covr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-07-03 17:42:45 UTC; nix33
Author: Nik Lilovski [aut, cre]
Repository: CRAN
Date/Publication: 2020-07-06 09:20:23 UTC

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Package worldmet updated to version 0.9.0 with previous version 0.8.8 dated 2020-02-12

Title: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see <https://www.ncdc.noaa.gov/isd>).
Author: David Carslaw [aut, cre]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between worldmet versions 0.8.8 dated 2020-02-12 and 0.9.0 dated 2020-07-06

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Package cubature updated to version 2.0.4.1 with previous version 2.0.4 dated 2019-12-04

Title: Adaptive Multivariate Integration over Hypercubes
Description: R wrappers around the cubature C library of Steven G. Johnson for adaptive multivariate integration over hypercubes and the Cuba C library of Thomas Hahn for deterministic and Monte Carlo integration. Scalar and vector interfaces for cubature and Cuba routines are provided; the vector interfaces are highly recommended as demonstrated in the package vignette.
Author: Balasubramanian Narasimhan [aut, cre], Manuel Koller [ctb], Steven G. Johnson [aut], Thomas Hahn [aut], Annie Bouvier [aut], Kiên Kiêu [aut], Simen Gaure [ctb]
Maintainer: Balasubramanian Narasimhan <naras@stat.stanford.edu>

Diff between cubature versions 2.0.4 dated 2019-12-04 and 2.0.4.1 dated 2020-07-06

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Package skimr updated to version 2.1.2 with previous version 2.1.1 dated 2020-04-16

Title: Compact and Flexible Summaries of Data
Description: A simple to use summary function that can be used buttskyle96@gmail.comwith pipes and displays nicely in the console. The default summary statistics may be modified by the user as can the default formatting. Support for data frames and vectors is included, and users can implement their own skim methods for specific object types as described in a vignette. Default summaries include support for inline spark graphs. Instructions for managing these on specific operating systems are given in the "Using skimr" vignette and the README.
Author: Elin Waring [cre, aut], Michael Quinn [aut], Amelia McNamara [aut], Eduardo Arino de la Rubia [aut], Hao Zhu [aut], Julia Lowndes [ctb], Shannon Ellis [aut], Hope McLeod [ctb], Hadley Wickham [ctb], Kirill Müller [ctb], RStudio, Inc. [cph] (Spark functions), Connor Kirkpatrick [ctb], Scott Brenstuhl [ctb], Patrick Schratz [ctb], lbusett [ctb], Mikko Korpela [ctb], Jennifer Thompson [ctb], Harris McGehee [ctb], Mark Roepke [ctb], Patrick Kennedy [ctb], Daniel Possenriede [ctb], David Zimmermann [ctb], Kyle Butts [ctb]
Maintainer: Elin Waring <elin.waring@gmail.com>

Diff between skimr versions 2.1.1 dated 2020-04-16 and 2.1.2 dated 2020-07-06

 DESCRIPTION                                           |   30 +-
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Package rbiouml updated to version 1.10 with previous version 1.9 dated 2019-11-26

Title: Interact with BioUML Server
Description: Functions for connecting to BioUML server, querying BioUML repository and launching BioUML analyses.
Author: Ivan Yevshin [aut, cre], Tagir Valeev [aut]
Maintainer: Ivan Yevshin <ivan@dote.ru>

Diff between rbiouml versions 1.9 dated 2019-11-26 and 1.10 dated 2020-07-06

 ChangeLog            |    2 ++
 DESCRIPTION          |    8 ++++----
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Package skewlmm updated to version 0.2.1 with previous version 0.2.0 dated 2020-05-15

Title: Scale Mixture of Skew-Normal Linear Mixed Models
Description: It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) type algorithm, including some possibilities for modeling the within-subject dependence. Details can be found in Schumacher, Lachos and Matos (2020) <arXiv:2002.01040>.
Author: Fernanda L. Schumacher [aut, cre], Larissa A. Matos [aut], Victor H. Lachos [aut]
Maintainer: Fernanda L. Schumacher <fernandalschumacher@gmail.com>

Diff between skewlmm versions 0.2.0 dated 2020-05-15 and 0.2.1 dated 2020-07-06

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 8 files changed, 120 insertions(+), 91 deletions(-)

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Package phonics updated to version 1.3.6 with previous version 1.3.2 dated 2019-06-21

Title: Phonetic Spelling Algorithms
Description: Provides a collection of phonetic algorithms including Soundex, Metaphone, NYSIIS, Caverphone, and others.
Author: James Howard [aut, cre] (<https://orcid.org/0000-0003-4530-1547>), Kyle Haynes [ctb], Amanda Hood [ctb], Os Keyes [ctb]
Maintainer: James Howard <jh@jameshoward.us>

Diff between phonics versions 1.3.2 dated 2019-06-21 and 1.3.6 dated 2020-07-06

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Package BifactorIndicesCalculator updated to version 0.2.1 with previous version 0.2.0 dated 2020-04-11

Title: Bifactor Indices Calculator
Description: The calculator computes bifactor indices such as explained common variance (ECV), hierarchical Omega (OmegaH), percentage of uncontaminated correlations (PUC), item explained common variance (I-ECV), and more. This package is an R version of the 'Excel' based 'Bifactor Indices Calculator' (Dueber, 2017) <doi:10.13023/edp.tool.01> with added convenience features for directly utilizing output from several programs that can fit confirmatory factor analysis or item response models.
Author: David Dueber [aut, cre]
Maintainer: David Dueber <david.dueber@uky.edu>

Diff between BifactorIndicesCalculator versions 0.2.0 dated 2020-04-11 and 0.2.1 dated 2020-07-06

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 man/MTMM_data.Rd                                   |    6 
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 31 files changed, 4497 insertions(+), 4416 deletions(-)

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