Thu, 09 Apr 2020

Package effsize updated to version 0.8.0 with previous version 0.7.9 dated 2020-03-23

Title: Efficient Effect Size Computation
Description: A collection of functions to compute the standardized effect sizes for experiments (Cohen d, Hedges g, Cliff delta, Vargha-Delaney A). The computation algorithms have been optimized to allow efficient computation even with very large data sets.
Author: Marco Torchiano [aut, cre]
Maintainer: Marco Torchiano <marco.torchiano@polito.it>

Diff between effsize versions 0.7.9 dated 2020-03-23 and 0.8.0 dated 2020-04-09

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Package flexsurvcure updated to version 1.1.0 with previous version 1.0.0 dated 2019-08-27

Title: Flexible Parametric Cure Models
Description: Flexible parametric mixture and non-mixture cure models for time-to-event data.
Author: Jordan Amdahl [aut, cre]
Maintainer: Jordan Amdahl <jrdnmdhl@gmail.com>

Diff between flexsurvcure versions 1.0.0 dated 2019-08-27 and 1.1.0 dated 2020-04-09

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Package crov updated to version 0.2.0 with previous version 0.1.3 dated 2018-11-02

Title: Constrained Regression Model for an Ordinal Response and Ordinal Predictors
Description: Fits a constrained regression model for an ordinal response with ordinal predictors and possibly others, Espinosa and Hennig (2019) <doi:10.1007/s11222-018-9842-2>. The parameter estimates associated with an ordinal predictor are constrained to be monotonic. If a monotonicity direction (isotonic or antitonic) is not specified for an ordinal predictor by the user, then the monotonicity direction classification procedure establishes it. Two monotonicity tests are also available to test the null hypothesis of monotonicity over a set of parameters associated with an ordinal predictor.
Author: Javier Espinosa <javier.espinosa@ucl.ac.uk>
Maintainer: Javier Espinosa <javier.espinosa@ucl.ac.uk>

Diff between crov versions 0.1.3 dated 2018-11-02 and 0.2.0 dated 2020-04-09

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Package rqPen updated to version 2.2.2 with previous version 2.2.1 dated 2020-01-28

Title: Penalized Quantile Regression
Description: Performs penalized quantile regression for LASSO, SCAD and MCP functions including group penalties. Provides a function that automatically generates lambdas and evaluates different models with cross validation or BIC, including a large p version of BIC.
Author: Ben Sherwood [aut, cre], Adam Maidman [ctb]
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>

Diff between rqPen versions 2.2.1 dated 2020-01-28 and 2.2.2 dated 2020-04-09

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Package multiDimBio updated to version 1.2.2 with previous version 1.2.1 dated 2019-08-30

Title: Multivariate Analysis and Visualization for Biological Data
Description: Code to support a systems biology research program from inception through publication. The methods focus on dimension reduction approaches to detect patterns in complex, multivariate experimental data and places an emphasis on informative visualizations. The goal for this project is to create a package that will evolve over time, thereby remaining relevant and reflective of current methods and techniques. As a result, we encourage suggested additions to the package, both methodological and graphical.
Author: Samuel V. Scarpino
Maintainer: Samuel V. Scarpino <scarpino@utexas.edu>

Diff between multiDimBio versions 1.2.1 dated 2019-08-30 and 1.2.2 dated 2020-04-09

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Package pedquant updated to version 0.1.5 with previous version 0.1.3 dated 2020-02-14

Title: Public Economic Data and Quantitative Analysis
Description: Provides an interface to access public economic and financial data for economic research and quantitative analysis. The data sources including NBS, FRED, Yahoo Finance, 163 Finance and etc.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

Diff between pedquant versions 0.1.3 dated 2020-02-14 and 0.1.5 dated 2020-04-09

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New package psychmeta with initial version 2.3.7
Package: psychmeta
Type: Package
Title: Psychometric Meta-Analysis Toolkit
Version: 2.3.7
Date: 2020-04-09
Authors@R: c(person("Jeffrey A.", "Dahlke", role = c("aut", "cre"), email = "jdahlke@humrro.org"), person("Brenton M.", "Wiernik", role = "aut", email = "brenton@psychmeta.com"), person("Michael T.", "Brannick", role = "ctb", comment = "Testing"), person("Jack", "Kostal", role = "ctb", comment = "Code for reshape_mat2dat function"), person("Sean", "Potter", role = "ctb", comment = "Testing; Code for cumulative and leave1out plots"), person("John", "Sakaluk", role = "ctb", comment = "Code for funnel and forest plots"), person("Yuejia (Mandy)", "Teng", role = "ctb", comment = "Testing"))
BugReports: https://github.com/psychmeta/psychmeta/issues
Description: Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more. Bugs can be reported to <https://github.com/psychmeta/psychmeta/issues> or <issues@psychmeta.com>.
License: GPL (>= 3)
Depends: R (>= 3.4.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Imports: dplyr, stats, methods, MASS, boot, tmvtnorm, tibble, reshape2, ggplot2, metafor, nor1mix, progress, tidyr (>= 1.0.0), stringi, stringr, rlang, curl, purrr, data.table, cli, crayon
Suggests: bib2df, rmarkdown, knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-09 14:45:09 UTC; jeffreydahlke
Author: Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Michael T. Brannick [ctb] (Testing), Jack Kostal [ctb] (Code for reshape_mat2dat function), Sean Potter [ctb] (Testing; Code for cumulative and leave1out plots), John Sakaluk [ctb] (Code for funnel and forest plots), Yuejia (Mandy) Teng [ctb] (Testing)
Maintainer: Jeffrey A. Dahlke <jdahlke@humrro.org>
Repository: CRAN
Date/Publication: 2020-04-09 15:50:02 UTC

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Package discrim updated to version 0.0.2 with previous version 0.0.1 dated 2019-10-11

Title: Model Wrappers for Discriminant Analysis
Description: Bindings for additional classification models for use with the 'parsnip' package. Models include flavors of discriminant analysis, such as linear (Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>), regularized (Friedman (1989) <doi:10.1080/01621459.1989.10478752>), and flexible (Hastie, Tibshirani, and Buja (1994) <doi:10.1080/01621459.1994.10476866>), as well as naive Bayes classifiers (Hand and Yu (2007) <doi:10.1111/j.1751-5823.2001.tb00465.x>).
Author: Max Kuhn [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between discrim versions 0.0.1 dated 2019-10-11 and 0.0.2 dated 2020-04-09

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Package ShapePattern updated to version 2.0.4 with previous version 2.0.3 dated 2020-04-02

Title: Tools for Analyzing Shapes and Patterns
Description: This is an evolving and growing collection of tools for the quantification, assessment, and comparison of shape and pattern. This collection provides tools for: (1) the spatial decomposition of planar shapes using 'ShrinkShape' to incrementally shrink shapes to extinction while computing area, perimeter, and number of parts at each iteration of shrinking; the spectra of results are returned in graphic and tabular formats (Remmel 2018) <doi:10.3390/su10103413>, (2) simulating landscape patterns, (3) provision of tools for estimating composition and configuration parameters from a categorical (binary) landscape map (grid) and then simulates a selected number of statistically similar landscapes. Class-focused pattern metrics are computed for each simulated map to produce empirical distributions against which statistical comparisons can be made. The code permits the analysis of single maps or pairs of maps (Remmel and Fortin 2013) <doi:10.1007/s10980-013-9905-x>, (4) counting the number of each first-order pattern element and converting that information into both frequency and empirical probability vectors (Remmel 2020) <doi:10.3390/e22040420>. NOTE: This is a consolidation of existing packages ('PatternClass', 'ShapePattern') to begin warehousing all shape and pattern code in a common package. Additional utility tools for handling data are provided and this package will be added to as more tools are created, cleaned-up, and documented. Note that all future developments will appear in this package and that 'PatternClass' will eventually be archived.
Author: Tarmo K. Remmel [aut, cre] (<https://orcid.org/0000-0001-6251-876X>), Marie-Josee Fortin [ctb], Ferenc Csillag [ctb], Sandor Kabos [ctb]
Maintainer: Tarmo K. Remmel <remmelt@yorku.ca>

Diff between ShapePattern versions 2.0.3 dated 2020-04-02 and 2.0.4 dated 2020-04-09

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New package spatialfusion with initial version 0.6-2
Package: spatialfusion
Imports: methods, graphics, stats, utils, rstan, sp, SDraw, fields
Suggests: INLA, geoR, testthat, tmap, R.rsp
Depends: R (>= 3.4.0), Rcpp
Type: Package
VignetteBuilder: R.rsp
Title: Multivariate Analysis of Spatial Data Using a Unifying Spatial Fusion Framework
Version: 0.6-2
Date: 2020-03-22
Authors@R: c( person("Craig", "Wang", email = "craig.wang@math.uzh.ch", role = c("aut","cre"),comment = c(ORCID = "0000-0003-1804-2463")), person("Reinhard", "Furrer", email = "reinhard.furrer@math.uzh.ch", role = "ctb",comment = c(ORCID = "0000-0002-6319-2332")))
Maintainer: Craig Wang <craig.wang@math.uzh.ch>
Description: Multivariate modelling of geostatistical (point), lattice (areal) and point pattern data in a unifying spatial fusion framework. Details are given in Wang and Furrer (2019) <arXiv:1906.00364>. Model inference is done using either 'Stan' <https://mc-stan.org/> or 'INLA' <http://www.r-inla.org>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: no
Packaged: 2020-04-09 11:59:43 UTC; crwang
Author: Craig Wang [aut, cre] (<https://orcid.org/0000-0003-1804-2463>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)
Repository: CRAN
Date/Publication: 2020-04-09 14:20:02 UTC

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Package ptmixed updated to version 0.5.1 with previous version 0.4.3 dated 2020-02-19

Title: Poisson-Tweedie Generalized Linear Mixed Model
Description: Fits Poisson-Tweedie generalized linear mixed model. Likelihood approximation based on adaptive Gauss Hermite quadrature rule.
Author: Mirko Signorelli [aut, cre], Pietro Spitali [aut], Roula Tsonaka [aut]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

Diff between ptmixed versions 0.4.3 dated 2020-02-19 and 0.5.1 dated 2020-04-09

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Package dstack updated to version 0.2.0 with previous version 0.1.0 dated 2020-03-24

Title: Publishing Interactive Plots
Description: A native R package that allows to publish, share and track revisions of plots using your favorite plotting package, e.g. 'ggplot2'. It also provides a kind of interactivity for such plots by specifying certain parameters for any specific plot view. See <https://docs.dstack.ai> for more information.
Author: Vitaly Khudobakhshov [aut, cre]
Maintainer: Vitaly Khudobakhshov <vitaly@dstack.ai>

Diff between dstack versions 0.1.0 dated 2020-03-24 and 0.2.0 dated 2020-04-09

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Package rscorecard updated to version 0.15.0 with previous version 0.14.0 dated 2020-01-08

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre] (<https://orcid.org/0000-0002-0337-7415>)
Maintainer: Benjamin Skinner <btskinner@coe.ufl.edu>

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Package reshape2 updated to version 1.4.4 with previous version 1.4.3 dated 2017-12-11

Title: Flexibly Reshape Data: A Reboot of the Reshape Package
Description: Flexibly restructure and aggregate data using just two functions: melt and 'dcast' (or 'acast').
Author: Hadley Wickham <h.wickham@gmail.com>
Maintainer: Hadley Wickham <h.wickham@gmail.com>

Diff between reshape2 versions 1.4.3 dated 2017-12-11 and 1.4.4 dated 2020-04-09

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Package pkgdown updated to version 1.5.1 with previous version 1.5.0 dated 2020-03-25

Title: Make Static HTML Documentation for a Package
Description: Generate an attractive and useful website from a source package. 'pkgdown' converts your documentation, vignettes, 'README', and more to 'HTML' making it easy to share information about your package online.
Author: Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>), Jay Hesselberth [aut] (<https://orcid.org/0000-0002-6299-179X>), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between pkgdown versions 1.5.0 dated 2020-03-25 and 1.5.1 dated 2020-04-09

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New package MetaStan with initial version 0.2.0
Package: MetaStan
Version: 0.2.0
Title: Bayesian Meta-Analysis via 'Stan'
Description: Performs Bayesian meta-analysis and model-based meta-analysis using 'Stan'. Includes binomial-normal hierarchical models and option to use weakly informative priors for the heterogeneity parameter and the treatment effect parameter which are described in Guenhan, Roever, and Friede (2020) <doi:10.1002/jrsm.1370>.
Authors@R: c(person("Burak Kuersad", "Guenhan", email="burak.gunhan@med.uni-goettingen.de", role=c("aut", "cre"), comment = c(ORCID = "0000-0002-7454-8680")), person("Trustees of", "Columbia University", role="cph", comment="src/init.cpp, tools/make_cpp.R, R/stanmodels.R"))
License: GPL (>= 3)
Encoding: UTF-8
Date: 2020-04-06
LazyData: true
ByteCompile: true
Depends: R (>= 3.4.0), Rcpp (>= 0.12.17), methods
Imports: rstan (>= 2.18.1), rstantools (>= 1.5.0)
Suggests: testthat, knitr, rmarkdown, ggplot2
LinkingTo: StanHeaders (>= 2.18.0), rstan (>= 2.18.1), BH (>= 1.66.0-1), Rcpp (>= 0.12.17), RcppEigen (>= 0.3.3.4.0)
SystemRequirements: GNU make
NeedsCompilation: yes
RoxygenNote: 7.1.0
URL: https://github.com/gunhanb/MetaStan
BugReports: https://github.com/gunhanb/MetaStan/issues
VignetteBuilder: knitr
Packaged: 2020-04-07 19:17:11 UTC; burakgunhan
Author: Burak Kuersad Guenhan [aut, cre] (<https://orcid.org/0000-0002-7454-8680>), Trustees of Columbia University [cph] (src/init.cpp, tools/make_cpp.R, R/stanmodels.R)
Maintainer: Burak Kuersad Guenhan <burak.gunhan@med.uni-goettingen.de>
Repository: CRAN
Date/Publication: 2020-04-09 13:20:09 UTC

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Package graphicalVAR updated to version 0.2.3 with previous version 0.2.2 dated 2018-06-16

Title: Graphical VAR for Experience Sampling Data
Description: Estimates within and between time point interactions in experience sampling data, using the Graphical vector autoregression model in combination with regularization. See also Epskamp, Waldorp, Mottus & Borsboom (2018) <doi:10.1080/00273171.2018.1454823>.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between graphicalVAR versions 0.2.2 dated 2018-06-16 and 0.2.3 dated 2020-04-09

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New package Replication with initial version 0.1.2
Package: Replication
Type: Package
Title: Test Replications by Means of the Prior Predictive p-Value
Version: 0.1.2
Authors@R: c( person(c("M.A.J."), "Zondervan-Zwijnenburg", role = c("aut","cre"), email = "m.a.j.zwijnenburg@uu.nl"), person(c("Herbert"), "Hoijtink", role = c("ths"), email = "h.hoijtink@uu.nl"), person(c("Caspar", "J"), "van Lissa", role = c("ctb"), email = "c.j.vanlissa@uu.nl"), person("Consortium Individual Development", role = "fnd", comment="NWO grant number 024.001.003") )
Description: Allows for the computation of a prior predictive p-value to test replication of relevant features of original studies. Relevant features are captured in informative hypotheses. The package also allows for the computation of power. The statistical underpinnings are described in Zondervan-Zwijnenburg (2019) <doi:10.31234/osf.io/uvh5s>.
License: GPL (>= 3)
Depends: lavaan(>= 0.6-3), blavaan, mice
Imports: quadprog, graphics, MASS, runjags(>= 2.0.4-2), rjags
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-03-13 08:47:38 UTC; marielle
Author: M.A.J. Zondervan-Zwijnenburg [aut, cre], Herbert Hoijtink [ths], Caspar J van Lissa [ctb], Consortium Individual Development [fnd] (NWO grant number 024.001.003)
Maintainer: M.A.J. Zondervan-Zwijnenburg <m.a.j.zwijnenburg@uu.nl>
Repository: CRAN
Date/Publication: 2020-04-09 12:10:02 UTC

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New package RecordLinkage with initial version 0.4-12
Package: RecordLinkage
Version: 0.4-12
Title: Record Linkage Functions for Linking and Deduplicating Data Sets
Authors@R: c(person("Andreas Borg", "Developer", role = c("aut"), email = "andreas.borg.public@posteo.de"), person("Murat Sariyar", "Developer", role = c("aut", "cre"), email = "murat.sariyar@bfh.ch"))
Contact: murat.sariyar@bfh.ch
Description: Provides functions for linking and deduplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain. For details, see our paper "The RecordLinkage Package: Detecting Errors in Data" Sariyar M / Borg A (2010) <doi:10.32614/RJ-2010-017>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 3.5.0), DBI, RSQLite(>= 1.0.0), ff, ffbase
Imports: e1071, rpart, ada, ipred, stats, evd, methods, data.table (>= 1.7.8), nnet, xtable
Suggests: RUnit, knitr
URL: https://journal.r-project.org/archive/2010-2/RJournal_2010-2_Sariyar+Borg.pdf
Collate: register-S3-classes.r RLBigData-classes.r RLResult-class.r accessor-methods.r evt.r classify.r classifySupv-methods.r genSamples.r strcmp.r compare.r getPairs.r summary.r em-methods.r internals.r em.r mygllm.r epilink-methods.r phonetics.r onAttach.r getPairs-methods.r serialization.r tools.r stochastic.r
NeedsCompilation: yes
Packaged: 2020-04-09 09:46:29 UTC; sym3
Author: Andreas Borg Developer [aut], Murat Sariyar Developer [aut, cre]
Maintainer: Murat Sariyar Developer <murat.sariyar@bfh.ch>
Repository: CRAN
Date/Publication: 2020-04-09 12:40:02 UTC

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New package ggPMX with initial version 1.1
Package: ggPMX
Title: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models
Description: At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling activities in order to reduce the overall effort required for generating such plots. For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient for publication and submissions using few lines of code.
Version: 1.1
Authors@R: c( person("Amine", "Gassem", email="contact@ag-study.com", role=c("cre","aut")), person("Bruno", "Bieth", email="biethb@hotmail.com", role="aut"), person("Irina", "Baltcheva", email="irina.baltcheva@gmail.com", role="aut"), person("Thomas", "Dumortier", email=" thomas.dumortier@novartis.com", role="aut"), person("Christian", "Bartels", email="christian.bartels@novartis.com", role="aut"), person("Souvik", "Bhattacharya", email="souvik.bhattacharya@novartis.com", role="aut"), person("Inga", "Ludwig", email="inga.ludwig@novartis.com", role="aut"), person("Ines", "Paule", email="ines.paule@novartis.com", role="aut"), person("Didier", "Renard", email="didier.renard@novartis.com", role="aut"), person("Matthew","Fidler", role = "ctb", email = "matthew.fidler@gmail.com", comment=c(ORCID="0000-0001-8538-6691")), person("Qing Xi", "Ooi", email="ooi.qingxi@gmail.com", role="ctr"), person("Novartis Pharma AG", role = c("cph")) )
Maintainer: Amine Gassem <contact@ag-study.com>
URL: https://github.com/ggPMXdevelopment/ggPMX
BugReports: https://github.com/ggPMXdevelopment/ggPMX/issues
Depends: R (>= 3.5)
Imports: data.table, yaml, R6, gtable, ggplot2 (>= 2.2.0), magrittr, stringr, assertthat, checkmate, GGally, zoo, knitr, rmarkdown
License: GPL-2
LazyData: true
Suggests: testthat, xtable, nlmixr
VignetteBuilder: knitr
NeedsCompilation: no
RoxygenNote: 6.1.1
Packaged: 2020-04-09 06:10:39 UTC; agstudy
Author: Amine Gassem [cre, aut], Bruno Bieth [aut], Irina Baltcheva [aut], Thomas Dumortier [aut], Christian Bartels [aut], Souvik Bhattacharya [aut], Inga Ludwig [aut], Ines Paule [aut], Didier Renard [aut], Matthew Fidler [ctb] (<https://orcid.org/0000-0001-8538-6691>), Qing Xi Ooi [ctr], Novartis Pharma AG [cph]
Repository: CRAN
Date/Publication: 2020-04-09 12:50:02 UTC

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Package tmap updated to version 3.0 with previous version 2.3-2 dated 2020-01-19

Title: Thematic Maps
Description: Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Author: Martijn Tennekes [aut, cre], Joel Gombin [ctb], Sebastian Jeworutzki [ctb], Kent Russell [ctb], Richard Zijdeman [ctb], John Clouse [ctb], Robin Lovelace [ctb], Jakub Nowosad [ctb], Jannes Muenchow [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap versions 2.3-2 dated 2020-01-19 and 3.0 dated 2020-04-09

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Package rminer updated to version 1.4.4 with previous version 1.4.3 dated 2019-12-16

Title: Data Mining Classification and Regression Methods
Description: Facilitates the use of data mining algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics; 1.2 - new input importance methods via improved Importance() function; 1.0 - first version.
Author: Paulo Cortez [aut, cre]
Maintainer: Paulo Cortez <pcortez@dsi.uminho.pt>

Diff between rminer versions 1.4.3 dated 2019-12-16 and 1.4.4 dated 2020-04-09

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Package corto updated to version 1.0.8 with previous version 1.0.5 dated 2020-03-03

Title: Inference of Gene Regulatory Networks
Description: We present 'corto' (Correlation Tool), a simple package to infer gene regulatory networks and visualize master regulators from gene expression data using DPI (Data Processing Inequality) and bootstrapping to recover edges. An initial step is performed to calculate all significant edges between a list of source nodes (centroids) and target genes. Then all triplets containing two centroids and one target are tested in a DPI step which removes edges. A bootstrapping process then calculates the robustness of the network, eventually re-adding edges previously removed by DPI. The algorithm has been optimized to run outside a computing cluster, using a fast correlation implementation. The package finally provides functions to calculate network enrichment analysis from RNA-Seq and ATAC-Seq signatures as described in the article by Giorgi lab (2020) <doi:10.1093/bioinformatics/btaa223>.
Author: Federico M. Giorgi [aut, cre], Daniele Mercatelli [ctb], Gonzalo Lopez-Garcia [ctb]
Maintainer: Federico M. Giorgi <federico.giorgi@gmail.com>

Diff between corto versions 1.0.5 dated 2020-03-03 and 1.0.8 dated 2020-04-09

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Package secr updated to version 4.2.2 with previous version 4.2.0 dated 2020-02-22

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package tibbleOne (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:

2020-01-29 0.1.1
2019-10-28 0.1.0

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

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

2017-12-20 0.1.0

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Package themetagenomics (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:

2020-02-10 1.0.0

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

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

2017-02-19 0.1.0

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Package textmining (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:

2016-09-25 0.0.1

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Package xgxr (with last version 1.0.7) was removed from CRAN

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

2020-01-10 1.0.7
2019-12-09 1.0.6
2019-10-17 1.0.5
2019-10-10 1.0.4
2019-09-28 1.0.3
2019-08-21 1.0.2

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Package survsup (with last version 0.0.2) was removed from CRAN

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

2019-05-07 0.0.2

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Package tangram (with last version 0.4) was removed from CRAN

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

2018-06-04 0.4
2017-10-02 0.3.2
2017-06-27 0.3
2017-05-03 0.2.6

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Package wppExplorer updated to version 2.3-4 with previous version 2.3-3 dated 2020-01-10

Title: Explorer of World Population Prospects
Description: Explore data in the 'wpp2019' (or 2017, 2015, ...) package using a 'shiny' interface.
Author: Hana Sevcikova <hanas@uw.edu>
Maintainer: Hana Sevcikova <hanas@uw.edu>

Diff between wppExplorer versions 2.3-3 dated 2020-01-10 and 2.3-4 dated 2020-04-09

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Package scTenifoldNet updated to version 1.2.1 with previous version 1.2.0 dated 2020-03-10

Title: Construct and Compare scGRN from Single-Cell Transcriptomic Data
Description: A workflow based on machine learning methods to construct and compare single-cell gene regulatory networks (scGRN) using single-cell RNA-seq (scRNA-seq) data collected from different conditions. Uses principal component regression, tensor decomposition, and manifold alignment, to accurately identify even subtly shifted gene expression programs.
Author: Daniel Osorio [aut, cre] (<https://orcid.org/0000-0003-4424-8422>), Yan Zhong [aut, ctb], Guanxun Li [aut, ctb], Jianhua Huang [aut, ctb], James Cai [aut, ctb, ths] (<https://orcid.org/0000-0002-8081-6725>)
Maintainer: Daniel Osorio <dcosorioh@tamu.edu>

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New package siland with initial version 2.0
Package: siland
Type: Package
Title: Spatial Influence of Landscape
Version: 2.0
Date: 2020-03-15
Author: Carpentier F. and Martin O.
Maintainer: Martin Olivier <olivier.martin@inra.fr>
Description: Functions to analyze the effect of landscape features on spatial observations (described in a GIS shapefile format). It simultaneously estimates the spatial scales and intensities of landscape variable effects without any information about the scale of effect, Carpentier and Martin (2019) <doi:10.1101/692566>.
License: GPL (>= 2.0)
Depends: R (>= 3.5.0), base, graphics, stats, sf
Imports: lme4, sp,raster, ggplot2, ggforce, fasterize, reshape2
NeedsCompilation: no
Packaged: 2020-04-09 08:18:22 UTC; OlivierMaison
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2020-04-09 09:20:03 UTC

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Package RMaCzek updated to version 1.3.3 with previous version 1.3.2 dated 2020-03-02

Title: Czekanowski's Diagrams
Description: Allows for production of Czekanowski's Diagrams. See A. Vasterlund (2019) Master thesis, Linkoping University.
Author: Albin Vasterlund [aut], Krzysztof Bartoszek [cre, aut, ths]
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

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Package metaviz updated to version 0.3.1 with previous version 0.3.0 dated 2019-01-14

Title: Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for Meta-Analysis
Description: A compilation of functions to create visually appealing and information-rich plots of meta-analytic data using 'ggplot2'. Currently allows to create forest plots, funnel plots, and many of their variants, such as rainforest plots, thick forest plots, additional evidence contour funnel plots, and sunset funnel plots. In addition, functionalities for visual inference with the funnel plot in the context of meta-analysis are provided.
Author: Michael Kossmeier [cre, aut], Ulrich S. Tran [aut], Martin Voracek [aut]
Maintainer: Michael Kossmeier <michael.kossmeier@univie.ac.at>

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Package joineRML updated to version 0.4.4 with previous version 0.4.3 dated 2020-02-17

Title: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes
Description: Fits the joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project is funded by the Medical Research Council (Grant number MR/M013227/1).
Author: Graeme L. Hickey [cre, aut] (<https://orcid.org/0000-0002-4989-0054>), Pete Philipson [aut] (<https://orcid.org/0000-0001-7846-0208>), Andrea Jorgensen [ctb] (<https://orcid.org/0000-0002-6977-9337>), Ruwanthi Kolamunnage-Dona [aut] (<https://orcid.org/0000-0003-3886-6208>), Paula Williamson [ctb] (<https://orcid.org/0000-0001-9802-6636>), Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R), Alessandro Gasparini [aut] (<https://orcid.org/0000-0002-8319-7624>), Medical Research Council [fnd] (Grant number: MR/M013227/1)
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>

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Package modmarg (with last version 0.9.2) was removed from CRAN

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2018-02-01 0.9.2
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Package somspace (with last version 1.0.0) was removed from CRAN

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Package rJST (with last version 1.3) was removed from CRAN

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Package patternplot (with last version 0.3.2) was removed from CRAN

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2019-11-22 0.3.2
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Package roughrf (with last version 1.0) was removed from CRAN

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Package rtrim (with last version 2.0.6) was removed from CRAN

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Package psychmeta (with last version 2.3.6) was removed from CRAN

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

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2020-04-05 1.7-3

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2015-04-11 1.2-1
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Package genBaRcode (with last version 1.2.2) was removed from CRAN

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Package replicateBE updated to version 1.0.14 with previous version 1.0.13 dated 2020-01-09

Title: Average Bioequivalence with Expanding Limits (ABEL)
Description: Performs comparative bioavailability calculations for Average Bioequivalence with Expanding Limits (ABEL). Implemented are 'Method A' and 'Method B' and the detection of outliers. If the design allows, assessment of the empiric Type I Error and iteratively adjusting alpha to control the consumer risk. Average Bioequivalence - optionally with a tighter (narrow therapeutic index drugs) or wider acceptance range (Gulf Cooperation Council, South Africa: Cmax) - is implemented as well.
Author: Helmut Schütz [aut, cre] (<https://orcid.org/0000-0002-1167-7880>), Michael Tomashevskiy [ctb], Detlew Labes [ctb] (<https://orcid.org/0000-0003-2169-426X>)
Maintainer: Helmut Schütz <helmut.schuetz@bebac.at>

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Package Rcpp updated to version 1.0.4.6 with previous version 1.0.4 dated 2020-03-17

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>

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Package PAMA updated to version 0.1.1 with previous version 0.1.0 dated 2020-01-13

Title: Rank Aggregation with Partition Mallows Model
Description: Rank aggregation aims to achieve a better ranking list given multiple observations. 'PAMA' implements Partition-Mallows model for rank aggregation. Both Bayesian inference and Maximum likelihood estimation (MLE) are provided. It can handle partial list as well. When covariates information is available, this package can make inference by incorporating the covariate information. More information can be found in the paper "Integrated Partition-Mallows Model and Its Inference for Rank Aggregation". The paper is not yet published.
Author: Wanchuang Zhu [cre, aut]
Maintainer: Wanchuang Zhu <andy.chou.sub@gmail.com>

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Package mokken updated to version 3.0.1 with previous version 3.0.0 dated 2020-04-03

Title: Conducts Mokken Scale Analysis
Description: Contains functions for performing Mokken scale analysis on test and questionnaire data (e.g., Sijtsma and Van der Ark, 2017, <doi:10.1111/bmsp.12078>). It includes an automated item selection algorithm, and various checks of model assumptions.
Author: L. Andries van der Ark [aut, cre], Letty Koopman [aut], J. Hendrik Straat [ctb], Don van den Bergh [ctb]
Maintainer: L. Andries van der Ark <L.A.vanderArk@uva.nl>

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Package incadata updated to version 0.9.1 with previous version 0.8.2 dated 2019-05-05

Title: Recognize and Handle Data in Formats Used by Swedish Cancer Centers
Description: Handle data in formats used by cancer centers in Sweden, both from 'INCA' (<https://rcc.incanet.se>) and by the older register platform 'Rockan'. All variables are coerced to suitable classes based on their format. Dates (from various formats such as with missing month or day, with or without century prefix or with just a week number) are all recognized as dates and coerced to the ISO 8601 standard (Y-m-d). Boolean variables (internally stored either as 0/1 or "True"/"False"/blanks when exported) are coerced to logical. Variable names ending in '_Beskrivning' and '_Varde' will be character, and 'PERSNR' will be coerced (if possible) to a valid personal identification number 'pin' (by the 'sweidnumbr' package). The package also allow the user to interactively choose if a variable should be coerced into a potential format even though not all of its values might conform to the recognized pattern. It also contain a caching mechanism in order to temporarily store data sets with its newly decided formats in order to not rerun the identification process each time. The package also include a mechanism to aid the documentation process connected to projects build on data from 'INCA'. From version 0.7, some general help functions are also included, as previously found in the 'rccmisc' package.
Author: Erik Bulow [aut, cre] (<https://orcid.org/0000-0002-9973-456X>)
Maintainer: Erik Bulow <erik.bulow@rccvast.se>

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More information about incadata at CRAN
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Package h2o updated to version 3.30.0.1 with previous version 3.28.0.4 dated 2020-02-26

Title: R Interface for the 'H2O' Scalable Machine Learning Platform
Description: R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).
Author: Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], H2O.ai [cph, fnd]
Maintainer: Erin LeDell <erin@h2o.ai>

Diff between h2o versions 3.28.0.4 dated 2020-02-26 and 3.30.0.1 dated 2020-04-09

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 h2o-3.28.0.4/h2o/man/h2o.getFutureModel.Rd                       |only
 h2o-3.30.0.1/h2o/DESCRIPTION                                     |   16 
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 h2o-3.30.0.1/h2o/NAMESPACE                                       |   11 
 h2o-3.30.0.1/h2o/R/aggregator.R                                  |   56 
 h2o-3.30.0.1/h2o/R/automl.R                                      |   13 
 h2o-3.30.0.1/h2o/R/classes.R                                     |   25 
 h2o-3.30.0.1/h2o/R/communication.R                               |   52 
 h2o-3.30.0.1/h2o/R/connection.R                                  |    8 
 h2o-3.30.0.1/h2o/R/constants.R                                   |    9 
 h2o-3.30.0.1/h2o/R/coxph.R                                       |  133 +
 h2o-3.30.0.1/h2o/R/deeplearning.R                                |  305 +++
 h2o-3.30.0.1/h2o/R/export.R                                      |   11 
 h2o-3.30.0.1/h2o/R/frame.R                                       |  935 +++++++++-
 h2o-3.30.0.1/h2o/R/gam.R                                         |only
 h2o-3.30.0.1/h2o/R/gbm.R                                         |  212 ++
 h2o-3.30.0.1/h2o/R/glm.R                                         |  241 ++
 h2o-3.30.0.1/h2o/R/glrm.R                                        |  161 +
 h2o-3.30.0.1/h2o/R/import.R                                      |   35 
 h2o-3.30.0.1/h2o/R/isolationforest.R                             |  106 +
 h2o-3.30.0.1/h2o/R/kmeans.R                                      |  124 +
 h2o-3.30.0.1/h2o/R/kvstore.R                                     |   84 
 h2o-3.30.0.1/h2o/R/models.R                                      |  502 ++++-
 h2o-3.30.0.1/h2o/R/naivebayes.R                                  |  127 +
 h2o-3.30.0.1/h2o/R/pca.R                                         |   75 
 h2o-3.30.0.1/h2o/R/psvm.R                                        |  107 +
 h2o-3.30.0.1/h2o/R/randomforest.R                                |  207 ++
 h2o-3.30.0.1/h2o/R/segment.R                                     |only
 h2o-3.30.0.1/h2o/R/stackedensemble.R                             |  180 +
 h2o-3.30.0.1/h2o/R/svd.R                                         |   78 
 h2o-3.30.0.1/h2o/R/targetencoder.R                               |  121 +
 h2o-3.30.0.1/h2o/R/w2vutils.R                                    |   13 
 h2o-3.30.0.1/h2o/R/word2vec.R                                    |   85 
 h2o-3.30.0.1/h2o/R/xgboost.R                                     |  259 ++
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 h2o-3.30.0.1/h2o/man/h2o.coxph.Rd                                |   26 
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 h2o-3.30.0.1/h2o/man/h2o.cross_validation_models.Rd              |   18 
 h2o-3.30.0.1/h2o/man/h2o.cross_validation_predictions.Rd         |   18 
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 h2o-3.30.0.1/h2o/man/h2o.deepfeatures.Rd                         |   16 
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 h2o-3.30.0.1/h2o/man/h2o.getModelTree.Rd                         |   16 
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 h2o-3.30.0.1/h2o/man/h2o.group_by.Rd                             |    8 
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Package finity updated to version 0.1.3 with previous version 0.1.2 dated 2020-04-07

Title: Test for Finiteness of Moments in a Distribution
Description: The purpose of this package is to tests whether a given moment of the distribution of a given sample is finite or not. For heavy-tailed distributions with tail exponent b, only moments of order smaller than b are finite. Tail exponent and heavy- tailedness are notoriously difficult to ascertain. But the finiteness of moments (including fractional moments) can be tested directly. This package does that following the test suggested by Trapani (2016) <doi:10.1016/j.jeconom.2015.08.006>.
Author: Torsten Heinrich [aut, cre], Julian Winkler [aut]
Maintainer: Torsten Heinrich <torsten.heinrich@posteo.net>

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Package decoder updated to version 1.2.1 with previous version 1.1.13 dated 2019-01-08

Title: Decode Coded Variables to Plain Text and the Other Way Around
Description: Main function "decode" is used to decode coded key values to plain text. Function "code" can be used to code plain text to code if there is a 1:1 relation between the two. The concept relies on 'keyvalue' objects used for translation. There are several 'keyvalue' objects included in the areas of geographical regional codes, administrative health care unit codes, diagnosis codes and more. It is also easy to extend the use by arbitrary code sets.
Author: Erik Bulow [aut, cre] (<https://orcid.org/0000-0002-9973-456X>)
Maintainer: Erik Bulow <erik.bulow@rccvast.se>

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Package correlation updated to version 0.2.0 with previous version 0.1.0 dated 2020-03-16

Title: Methods for Correlation Analysis
Description: Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Relies on the easystats ecosystem (Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>).
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [ctb] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package econullnetr (with last version 0.2.0) was removed from CRAN

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2020-01-13 0.2.0
2019-06-09 0.1.0.1
2017-09-25 0.1.0

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

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2019-09-09 2.2-1
2018-04-24 2.1-1
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2016-03-09 0.9.4
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2019-03-08 2.0.1
2018-06-12 2.0.0
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2019-08-02 0.0.2.7
2019-01-22 0.0.2.6
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Package xml2 updated to version 1.3.1 with previous version 1.3.0 dated 2020-04-01

Title: Parse XML
Description: Work with XML files using a simple, consistent interface. Built on top of the 'libxml2' C library.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], Jeroen Ooms [aut], RStudio [cph], R Foundation [ctb] (Copy of R-project homepage cached as example)
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package usethis updated to version 1.6.0 with previous version 1.5.1 dated 2019-07-04

Title: Automate Package and Project Setup
Description: Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.
Author: Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package tbrf updated to version 0.1.5 with previous version 0.1.4 dated 2020-03-25

Title: Time-Based Rolling Functions
Description: Provides rolling statistical functions based on date and time windows instead of n-lagged observations.
Author: Michael Schramm [aut, cre] (<https://orcid.org/0000-0003-1876-6592>), Frank Harrell [ctb]
Maintainer: Michael Schramm <michael.schramm@ag.tamu.edu>

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Package stratamatch updated to version 0.1.5 with previous version 0.1.4 dated 2020-02-18

Title: Stratification and Matching for Large Observational Data Sets
Description: A pilot matching design to automatically stratify and match large datasets. The manual_stratify() function allows users to manually stratify a dataset based on categorical variables of interest, while the auto_stratify() function does automatically by allocating a held-aside (pilot) data set, fitting a prognostic score (see Hansen (2008) <doi:10.1093/biomet/asn004>) on the pilot set, and stratifying the data set based on prognostic score quantiles. The strata_match() function then does optimal matching of the data set in parallel within strata.
Author: Rachael C. Aikens [aut, cre], Joseph Rigdon [aut], Justin Lee [aut], Michael Baiocchi [aut], Jonathan Chen [aut]
Maintainer: Rachael C. Aikens <rockyaikens@gmail.com>

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Package scdhlm updated to version 0.3.2 with previous version 0.3.1 dated 2016-12-20

Title: Estimating Hierarchical Linear Models for Single-Case Designs
Description: Provides a set of tools for estimating hierarchical linear models and effect sizes based on data from single-case designs. Functions are provided for calculating standardized mean difference effect sizes that are directly comparable to standardized mean differences estimated from between-subjects randomized experiments, as described in Hedges, Pustejovsky, and Shadish (2012) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013) <DOI:10.1002/jrsm.1086>; and Pustejovsky, Hedges, and Shadish (2014) <DOI:10.3102/1076998614547577>. Includes an interactive web interface.
Author: James Pustejovsky [aut, cre], Bethany Hamilton [aut]
Maintainer: James Pustejovsky <jepusto@gmail.com>

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Package Rlabkey updated to version 2.4.0 with previous version 2.3.4 dated 2020-02-11

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <http://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey
Maintainer: Cory Nathe <cnathe@labkey.com>

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Package parsnip updated to version 0.1.0 with previous version 0.0.5 dated 2020-01-07

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', etc).
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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 R/mars.R                                    |   21 ++--
 R/misc.R                                    |   28 +++--
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 R/multinom_reg.R                            |   26 +++-
 R/nearest_neighbor.R                        |   15 ++
 R/nearest_neighbor_data.R                   |   21 ++--
 R/nullmodel.R                               |   13 +-
 R/predict.R                                 |   48 +++++----
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 R/predict_raw.R                             |   13 +-
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 R/surv_reg.R                                |    9 +
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 R/translate.R                               |    7 -
 R/zzz.R                                     |    2 
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More information about parsnip at CRAN
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Package MST updated to version 2.2 with previous version 2.1 dated 2018-02-16

Title: Multivariate Survival Trees
Description: Constructs trees for multivariate survival data using marginal and frailty models. Grows, prunes, and selects the best-sized tree.
Author: Xiaogang Su [aut], Peter Calhoun [aut, cre], Juanjuan Fan [aut]
Maintainer: Peter Calhoun <calhoun.peter@gmail.com>

Diff between MST versions 2.1 dated 2018-02-16 and 2.2 dated 2020-04-09

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 MST-2.2/MST/R/bootstrap.size.R      |    2 +-
 MST-2.2/MST/R/listIntoTree.R        |    2 +-
 MST-2.2/MST/R/partition.MST.R       |    6 +++---
 MST-2.2/MST/R/rmultime.R            |    2 +-
 MST-2.2/MST/R/splitting.stat.MST1.R |    5 ++++-
 MST-2.2/MST/R/splitting.stat.MST3.R |    5 ++++-
 MST-2.2/MST/R/splitting.stat.MST4.R |    5 ++++-
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 MST-2.2/MST/inst/NEWS.Rd            |    8 ++++++++
 MST-2.2/MST/man/MST-package.Rd      |    4 ++--
 14 files changed, 45 insertions(+), 30 deletions(-)

More information about MST at CRAN
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Package ldatuning updated to version 1.0.1 with previous version 1.0.0 dated 2019-05-12

Title: Tuning of the Latent Dirichlet Allocation Models Parameters
Description: For this first version only metrics to estimate the best fitting number of topics are implemented.
Author: Murzintcev Nikita [aut], Nathan Chaney [ctb, cre] (<https://orcid.org/0000-0001-8985-2514>)
Maintainer: Nathan Chaney <nathan@nathanchaney.com>

Diff between ldatuning versions 1.0.0 dated 2019-05-12 and 1.0.1 dated 2020-04-09

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 16 files changed, 166 insertions(+), 71 deletions(-)

More information about ldatuning at CRAN
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