Fri, 03 May 2019

Package SPCAvRP updated to version 0.4 with previous version 0.3 dated 2018-07-26

Title: Sparse Principal Component Analysis via Random Projections (SPCAvRP)
Description: Implements the SPCAvRP algorithm, developed and analysed in "Sparse principal component analysis via random projections" Gataric, M., Wang, T. and Samworth, R. J. (2018) <arXiv:1712.05630>. The algorithm is based on the aggregation of eigenvector information from carefully-selected random projections of the sample covariance matrix.
Author: Milana Gataric, Tengyao Wang and Richard J. Samworth
Maintainer: Milana Gataric <m.gataric@statslab.cam.ac.uk>

Diff between SPCAvRP versions 0.3 dated 2018-07-26 and 0.4 dated 2019-05-03

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Package RPresto updated to version 1.3.3 with previous version 1.3.2 dated 2018-10-23

Title: DBI Connector to Presto
Description: Implements a 'DBI' compliant interface to Presto. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes: <https://prestodb.io/>.
Author: Onur Ismail Filiz [aut, cre], Sergey Goder [aut], John Myles White [ctb]
Maintainer: Onur Ismail Filiz <onur@fb.com>

Diff between RPresto versions 1.3.2 dated 2018-10-23 and 1.3.3 dated 2019-05-03

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Package units updated to version 0.6-3 with previous version 0.6-2 dated 2018-12-05

Title: Measurement Units for R Vectors
Description: Support for measurement units in R vectors, matrices and arrays: automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the POSIXct, Date and difftime classes. Uses the UNIDATA udunits library and unit database for unit compatibility checking and conversion. Documentation about 'units' is provided in the paper by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>), included in this package as a vignette; see 'citation("units")' for details.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Thomas Mailund [aut], Tomasz Kalinowski [aut], James Hiebert [ctb], Iñaki Ucar [ctb] (<https://orcid.org/0000-0001-6403-5550>)
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package swirl updated to version 2.4.4 with previous version 2.4.3 dated 2017-03-02

Title: Learn R, in R
Description: Use the R console as an interactive learning environment. Users receive immediate feedback as they are guided through self-paced lessons in data science and R programming.
Author: Sean Kross [aut, cre], Nick Carchedi [aut], Bill Bauer [aut], Gina Grdina [aut], Filip Schouwenaars [ctb], Wush Wu [ctb]
Maintainer: Sean Kross <sean@seankross.com>

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Package surveyplanning updated to version 3.0 with previous version 2.9 dated 2017-10-26

Title: Survey Planning Tools
Description: Tools for sample survey planning, including sample size calculation, estimation of expected precision for the estimates of totals, and calculation of optimal sample size allocation.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Janis Jukams [aut]
Maintainer: Juris Breidaks <rcsb@csb.gov.lv>

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Package epimdr updated to version 0.6-3 with previous version 0.6-2 dated 2019-01-17

Title: Functions and Data for "Epidemics: Models and Data in R"
Description: Functions, data sets and shinyApps for "Epidemics: Models and Data in R" by Ottar N. Bjornstad (ISBN 978-3-319-97487-3) <https://www.springer.com/gp/book/9783319974866>. The package contains functions to study the S(E)IR model, spatial and age-structured SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the coursera Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.
Author: Ottar N. Bjornstad [aut, cre]
Maintainer: Ottar N. Bjornstad <onb1@psu.edu>

Diff between epimdr versions 0.6-2 dated 2019-01-17 and 0.6-3 dated 2019-05-03

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Package checkmate updated to version 1.9.3 with previous version 1.9.1 dated 2019-01-15

Title: Fast and Versatile Argument Checks
Description: Tests and assertions to perform frequent argument checks. A substantial part of the package was written in C to minimize any worries about execution time overhead.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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Package rbison updated to version 0.8.0 with previous version 0.7.0 dated 2018-10-25

Title: Interface to the 'USGS' 'BISON' API
Description: Interface to the 'USGS' 'BISON' (<https://bison.usgs.gov/>) API, a 'database' for species occurrence data. Data comes from species in the United States from participating data providers. You can get data via 'taxonomic' and location based queries. A simple function is provided to help visualize data.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between rbison versions 0.7.0 dated 2018-10-25 and 0.8.0 dated 2019-05-03

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Package rplos updated to version 0.8.6 with previous version 0.8.4 dated 2018-08-14

Title: Interface to the Search API for 'PLoS' Journals
Description: A programmatic interface to the 'SOLR' based search API (<http://api.plos.org/>) provided by the Public Library of Science journals to search their articles. Functions are included for searching for articles, retrieving articles, making plots, doing 'faceted' searches, 'highlight' searches, and viewing results of 'highlighted' searches in a browser.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Carl Boettiger [aut], Karthik Ram [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package postGIStools updated to version 0.2.3 with previous version 0.2.2 dated 2018-03-28

Title: Tools for Interacting with 'PostgreSQL' / 'PostGIS' Databases
Description: Functions to convert geometry and 'hstore' data types from 'PostgreSQL' into standard R objects, as well as to simplify the import of R data frames (including spatial data frames) into 'PostgreSQL'. Note: This package is deprecated. For new projects, we recommend using the 'sf' package to interface with geodatabases.
Author: Philippe Marchand [aut, cre], Richard Ellison [aut]
Maintainer: Philippe Marchand <marchand.philippe@gmail.com>

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Package ASSISTant updated to version 1.4.2 with previous version 1.2-3 dated 2016-05-03

Title: Adaptive Subgroup Selection in Group Sequential Trials
Description: Clinical trial design for subgroup selection in three-stage group sequential trial. Includes facilities for design, exploration and analysis of such trials. An implementation of the initial DEFUSE-3 trial is also provided as a vignette.
Author: Tze Leung Lai [ctb], Philip Lavori [aut], Olivia Liao [aut], Balasubramanian Narasimhan [aut, cre], Ka Wai Tsang [aut]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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Package MultiRobust updated to version 1.0.4 with previous version 1.0.3 dated 2019-03-15

Title: Multiply Robust Methods for Missing Data Problems
Description: Multiply robust estimation for population mean (Han and Wang 2013) <doi:10.1093/biomet/ass087>, regression analysis (Han 2014) <doi:10.1080/01621459.2014.880058> (Han 2016) <doi:10.1111/sjos.12177> and quantile regression (Han et al. 2019) <doi:10.1111/rssb.12309>.
Author: Shixiao Zhang and Peisong Han
Maintainer: Shixiao Zhang <praetere@gmail.com>

Diff between MultiRobust versions 1.0.3 dated 2019-03-15 and 1.0.4 dated 2019-05-03

 DESCRIPTION        |    6 +-
 MD5                |   18 +++----
 R/MR.mean.r        |   91 +++++++++++++++++++++---------------
 R/MR.quantile.r    |  132 ++++++++++++++++++++++++++++++-----------------------
 R/MR.quantreg.r    |   43 +++++++++++------
 R/MR.reg.r         |   44 +++++++++++------
 man/MR.mean.Rd     |   21 +++++---
 man/MR.quantile.Rd |   21 +++++---
 man/MR.quantreg.Rd |   16 ++++--
 man/MR.reg.Rd      |   14 ++++-
 10 files changed, 247 insertions(+), 159 deletions(-)

More information about MultiRobust at CRAN
Permanent link

Package sirt updated to version 3.4-64 with previous version 3.3-26 dated 2019-03-18

Title: Supplementary Item Response Theory Models
Description: Supplementary functions for item response models aiming to complement existing R packages. The functionality includes among others multidimensional compensatory and noncompensatory IRT models (Reckase, 2009, <doi:10.1007/978-0-387-89976-3>), MCMC for hierarchical IRT models and testlet models (Fox, 2010, <doi:10.1007/978-1-4419-0742-4>), NOHARM (McDonald, 1982, <doi:10.1177/014662168200600402>), Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>; Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>), faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011, <doi:10.1111/j.1745-3984.2011.00143.x>), ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>), DETECT statistic (Stout, Habing, Douglas & Kim, 1996, <doi:10.1177/014662169602000403>), local structural equation modeling (LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016, <doi:10.1080/00273171.2016.1142856>).
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between sirt versions 3.3-26 dated 2019-03-18 and 3.4-64 dated 2019-05-03

 sirt-3.3-26/sirt/inst/include                                                          |only
 sirt-3.3-26/sirt/src/polychoric2_tetrachoric2_rcpp.cpp                                 |only
 sirt-3.4-64/sirt/DESCRIPTION                                                           |   18 
 sirt-3.4-64/sirt/MD5                                                                   |  210 ++-
 sirt-3.4-64/sirt/NAMESPACE                                                             |   50 
 sirt-3.4-64/sirt/R/IRT.mle.R                                                           |   30 
 sirt-3.4-64/sirt/R/Probtrace_sirt.R                                                    |    5 
 sirt-3.4-64/sirt/R/R2conquest.R                                                        |    4 
 sirt-3.4-64/sirt/R/R2noharm.EAP.R                                                      |   29 
 sirt-3.4-64/sirt/R/RcppExports.R                                                       |   58 -
 sirt-3.4-64/sirt/R/ccov.np.R                                                           |    5 
 sirt-3.4-64/sirt/R/class.accuracy.rasch.R                                              |    8 
 sirt-3.4-64/sirt/R/f1d.irt.R                                                           |   30 
 sirt-3.4-64/sirt/R/fit.logistic.R                                                      |   54 -
 sirt-3.4-64/sirt/R/fuzcluster_alg.R                                                    |    4 
 sirt-3.4-64/sirt/R/ginverse_sym.R                                                      |   14 
 sirt-3.4-64/sirt/R/gom.em.R                                                            |    5 
 sirt-3.4-64/sirt/R/gom.em.alg.R                                                        |    6 
 sirt-3.4-64/sirt/R/greenyang.reliability.R                                             |   25 
 sirt-3.4-64/sirt/R/invariance.alignment.R                                              |    5 
 sirt-3.4-64/sirt/R/invariance_alignment_cfa_config_estimate.R                          |    6 
 sirt-3.4-64/sirt/R/latent.regression.em.raschtype.R                                    |   42 
 sirt-3.4-64/sirt/R/lavaan2mirt.R                                                       |    8 
 sirt-3.4-64/sirt/R/lavaan_object_adjust_sample_size.R                                  |only
 sirt-3.4-64/sirt/R/likelihood_adjustment_aux.R                                         |   18 
 sirt-3.4-64/sirt/R/linking.haebara.R                                                   |    4 
 sirt-3.4-64/sirt/R/lsem.bootstrap.R                                                    |only
 sirt-3.4-64/sirt/R/lsem.estimate.R                                                     |  159 +-
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 sirt-3.4-64/sirt/R/lsem_fitsem.R                                                       |  154 +-
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 sirt-3.4-64/sirt/R/lsem_fitsem_raw_data_lavaan_survey.R                                |    3 
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 sirt-3.4-64/sirt/R/lsem_lavaan_modify_lavaan_object_test.R                             |only
 sirt-3.4-64/sirt/R/lsem_local_weights.R                                                |   36 
 sirt-3.4-64/sirt/R/lsem_parameter_summary.R                                            |    9 
 sirt-3.4-64/sirt/R/lsem_residualize.R                                                  |   39 
 sirt-3.4-64/sirt/R/lsem_weighted_cov.R                                                 |   17 
 sirt-3.4-64/sirt/R/lsem_weighted_mean.R                                                |   10 
 sirt-3.4-64/sirt/R/lsem_wtdSD.R                                                        |   12 
 sirt-3.4-64/sirt/R/marginal.truescore.reliability.R                                    |    9 
 sirt-3.4-64/sirt/R/mcmc.2pno.R                                                         |    4 
 sirt-3.4-64/sirt/R/mcmc.2pno.ml_output.R                                               |    6 
 sirt-3.4-64/sirt/R/mcmc.2pnoh.R                                                        |    4 
 sirt-3.4-64/sirt/R/mcmc.3pno.testlet_output.R                                          |    4 
 sirt-3.4-64/sirt/R/mcmc.list.descriptives.R                                            |    4 
 sirt-3.4-64/sirt/R/mcmc_WaldTest.R                                                     |   30 
 sirt-3.4-64/sirt/R/mcmc_derivedPars.R                                                  |    5 
 sirt-3.4-64/sirt/R/mcmc_summary.R                                                      |    4 
 sirt-3.4-64/sirt/R/mcmc_vcov.R                                                         |    5 
 sirt-3.4-64/sirt/R/mirt.model.vars.R                                                   |   73 -
 sirt-3.4-64/sirt/R/mirt.wrapper.itemplot.R                                             |   13 
 sirt-3.4-64/sirt/R/mirt.wrapper.posterior.R                                            |   16 
 sirt-3.4-64/sirt/R/noharm.sirt.R                                                       |    4 
 sirt-3.4-64/sirt/R/normal2.cw.R                                                        |    7 
 sirt-3.4-64/sirt/R/pbivnorm2.R                                                         |    6 
 sirt-3.4-64/sirt/R/plausible.values.raschtype.R                                        |    6 
 sirt-3.4-64/sirt/R/polychoric2.R                                                       |   49 
 sirt-3.4-64/sirt/R/rasch.copula3.R                                                     |    6 
 sirt-3.4-64/sirt/R/rasch.copula3.covariance.R                                          |    5 
 sirt-3.4-64/sirt/R/rasch.mirtlc_aux.R                                                  |    5 
 sirt-3.4-64/sirt/R/rasch.mml.R                                                         |    8 
 sirt-3.4-64/sirt/R/rasch.mml.ramsay.R                                                  |   12 
 sirt-3.4-64/sirt/R/rasch.mml.raschtype.R                                               |   46 
 sirt-3.4-64/sirt/R/rasch.mml2.R                                                        |  116 --
 sirt-3.4-64/sirt/R/rasch.pml_aux.R                                                     |    6 
 sirt-3.4-64/sirt/R/reliability.nonlinear.sem.R                                         |    8 
 sirt-3.4-64/sirt/R/rm_numdiff_index.R                                                  |    8 
 sirt-3.4-64/sirt/R/rm_sdt_evaluate_prior.R                                             |    6 
 sirt-3.4-64/sirt/R/rm_sdt_evaluate_prior_derivative.R                                  |    6 
 sirt-3.4-64/sirt/R/sirt_antifisherz.R                                                  |    4 
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 sirt-3.4-64/sirt/R/sirt_dmvnorm.R                                                      |only
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 sirt-3.4-64/sirt/R/sirt_dnorm.R                                                        |only
 sirt-3.4-64/sirt/R/sirt_dnorm_discrete.R                                               |    6 
 sirt-3.4-64/sirt/R/sirt_fisherz.R                                                      |    4 
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 sirt-3.4-64/sirt/R/sirt_import_lavaan_lavaanify.R                                      |only
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 sirt-3.4-64/sirt/R/sirt_pmvnorm.R                                                      |only
 sirt-3.4-64/sirt/R/smirt.R                                                             |    5 
 sirt-3.4-64/sirt/R/smirt_alg_noncomp.R                                                 |    8 
 sirt-3.4-64/sirt/R/summary.lsem.R                                                      |   42 
 sirt-3.4-64/sirt/R/summary.mcmc_WaldTest.R                                             |only
 sirt-3.4-64/sirt/R/tetrachoric2.R                                                      |   45 
 sirt-3.4-64/sirt/R/xxirt.R                                                             |    7 
 sirt-3.4-64/sirt/R/xxirt_compute_posterior.R                                           |   15 
 sirt-3.4-64/sirt/build/partial.rdb                                                     |binary
 sirt-3.4-64/sirt/inst/NEWS                                                             |   46 
 sirt-3.4-64/sirt/man/invariance.alignment.Rd                                           |   22 
 sirt-3.4-64/sirt/man/lsem.estimate.Rd                                                  |  134 ++
 sirt-3.4-64/sirt/man/polychoric2.Rd                                                    |   24 
 sirt-3.4-64/sirt/man/sirt-utilities.Rd                                                 |    4 
 sirt-3.4-64/sirt/src/RcppExports.cpp                                                   |  531 ++--------
 sirt-3.4-64/sirt/src/sirt_rcpp_invariance_alignment.cpp                                |   20 
 sirt-3.4-64/sirt/src/sirt_rcpp_linking_haebara.cpp                                     |    4 
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 129 files changed, 1233 insertions(+), 1257 deletions(-)

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New package webex with initial version 0.9.1
Package: webex
Version: 0.9.1
Date: 2019-04-25
Title: Create Interactive Web Exercises in 'R Markdown'
Description: Functions for easily creating interactive web pages using 'R Markdown' that students can use in self-guided learning.
Authors@R: c(person("Dale", "Barr", email = "dalejbarr@protonmail.com", role = c("aut", "cre")), person("Lisa", "DeBruine", email = "lisa.debruine@glasgow.ac.uk", role = "aut"))
URL: https://github.com/psyteachr/webex
Depends: R (>= 3.1.2)
Imports: jsonlite, rmarkdown, knitr
License: CC BY-SA 4.0
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-05-02 10:41:13 UTC; dalebarr
Author: Dale Barr [aut, cre], Lisa DeBruine [aut]
Maintainer: Dale Barr <dalejbarr@protonmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 17:00:03 UTC

More information about webex at CRAN
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New package QBAsyDist with initial version 0.1.1
Package: QBAsyDist
Type: Package
Title: Asymmetric Distributions and Quantile Estimation
Version: 0.1.1
Author: Rezaul Karim <rezaul@juniv.edu>, Irène Gijbels <Irene.Gijbels@kuleuven.be>, Anneleen Verhasselt <anneleen.verhasselt@uhasselt.be >
Maintainer: Md Rezaul Karim <rezaul@juniv.edu>
Description: Provides the local polynomial maximum likelihood estimates for the location and scale functions as well as the semiparametric quantile estimates in the generalized quantile-based asymmetric distributional setting. These functions are useful for any member of the generalized quantile-based asymmetric family of distributions.
Depends: R (>= 3.4)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ald (>= 1.2), zipfR (>= 0.6-10), GoFKernel (>= 2.1-1), Deriv (>= 3.8.5), nloptr (>= 1.2.1), quantreg (>= 5.38), locpol (>= 0.7-0)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-02 14:29:31 UTC; u0106215
Repository: CRAN
Date/Publication: 2019-05-03 16:40:03 UTC

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Package dirichletprocess updated to version 0.3.0 with previous version 0.2.2 dated 2018-11-23

Title: Build Dirichlet Process Objects for Bayesian Modelling
Description: Perform nonparametric Bayesian analysis using Dirichlet processes without the need to program the inference algorithms. Utilise included pre-built models or specify custom models and allow the 'dirichletprocess' package to handle the Markov chain Monte Carlo sampling. Our Dirichlet process objects can act as building blocks for a variety of statistical models including and not limited to: density estimation, clustering and prior distributions in hierarchical models. See Teh, Y. W. (2011) <https://www.stats.ox.ac.uk/~teh/research/npbayes/Teh2010a.pdf>, among many other sources.
Author: Gordon J. Ross [aut], Dean Markwick [aut, cre], Kees Mulder [ctb] (<https://orcid.org/0000-0002-5387-3812>)
Maintainer: Dean Markwick <dean.markwick@talk21.com>

Diff between dirichletprocess versions 0.2.2 dated 2018-11-23 and 0.3.0 dated 2019-05-03

 DESCRIPTION                                    |    6 -
 MD5                                            |  120 +++++++++++++++----------
 NAMESPACE                                      |   48 ++++++++++
 NEWS.md                                        |    8 +
 R/beta_uniform_gamma.R                         |   33 ++++--
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 R/mvnormal_semi_conjugate.R                    |   36 ++++---
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 README.md                                      |   59 ++++++++----
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 tests/testthat/test_utilities.R                |   12 ++
 vignettes/Code/custom_models.R                 |    2 
 vignettes/Code/generate_graphs.R               |    5 +
 vignettes/dirichletprocess.Rnw                 |    8 -
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 74 files changed, 624 insertions(+), 238 deletions(-)

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Package DiPs updated to version 0.3.0 with previous version 0.2.0 dated 2018-12-09

Title: Directional Penalties for Optimal Matching in Observational Studies
Description: Improves the balance of optimal matching with near-fine balance by giving penalties on the unbalanced covariates with the unbalanced directions. Many directional penalties can also be viewed as Lagrange multipliers, pushing a matched sample in the direction of satisfying a linear constraint that would not be satisfied without penalization. Rosenbaum, P.R. (1989). <DOI:10.1080/01621459.1989.10478868>. Yang, D., Small, D. S., Silber, J. H., and Rosenbaum, P. R. (2012). <DOI:10.1111/j.1541-0420.2011.01691.x>.
Author: Ruoqi Yu
Maintainer: Ruoqi Yu <ruoqiyu@wharton.upenn.edu>

Diff between DiPs versions 0.2.0 dated 2018-12-09 and 0.3.0 dated 2019-05-03

 DESCRIPTION    |    6 +++---
 MD5            |    8 ++++----
 R/maha_dense.R |    2 +-
 R/match.R      |    8 ++------
 man/match.Rd   |    9 ++++-----
 5 files changed, 14 insertions(+), 19 deletions(-)

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New package abtest with initial version 0.1.2
Package: abtest
Type: Package
Title: Bayesian A/B Testing
Version: 0.1.2
Authors@R: c(person(given="Quentin F.", family="Gronau", role=c("aut", "cre"), email="Quentin.F.Gronau@gmail.com"), person(given="Akash", family="Raj", role="ctb"), person(given="Eric-Jan", family="Wagenmakers", role="ths"))
Description: Provides functions for Bayesian A/B testing including prior elicitation options based on Kass and Vaidyanathan (1992) <doi:10.1111/j.2517-6161.1992.tb01868.x>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
Imports: Rcpp (>= 0.12.14), mvtnorm, sn, VGAM, truncnorm, plotrix, grDevices, RColorBrewer, Matrix
LinkingTo: Rcpp
RoxygenNote: 6.1.0
Suggests: testthat
NeedsCompilation: yes
Packaged: 2019-05-03 10:14:06 UTC; quentin
Author: Quentin F. Gronau [aut, cre], Akash Raj [ctb], Eric-Jan Wagenmakers [ths]
Maintainer: Quentin F. Gronau <Quentin.F.Gronau@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 16:10:15 UTC

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New package WaMaSim with initial version 1.0.0
Package: WaMaSim
Type: Package
Title: Simulate Rehabilitation Strategies for Water Distribution Systems
Version: 1.0.0
Date: 2019-05-02
Authors@R: c( person("Andreas", "Scheidegger", email="andreas.scheidegger@eawag.ch", role="aut"), person("Rachel", "Barrett", email=NULL, role="aut"), person("Christian", "Foerster", email="christian.foerster@eawag.ch", role="cre") )
Author: Andreas Scheidegger [aut], Rachel Barrett [aut], Christian Foerster [cre]
Maintainer: Christian Foerster <christian.foerster@eawag.ch>
Description: The outcome of various rehabilitation strategies for water distribution systems can be modeled with the Water Management Simulator (WaMaSim). Pipe breaks and the corresponding damage and rehabilitation costs are simulated. It is mainly intended to be used as educational tool for the Water Infrastructure Experimental and Computer Laboratory at ETH Zurich, Switzerland.
Encoding: UTF-8
URL: https://github.com/scheidan/WaMaSim
BugReports: https://github.com/scheidan/WaMaSim/issues
License: GPL-3
RoxygenNote: 6.1.1
Depends: magrittr (>= 1.5)
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-05-03 06:59:43 UTC; heinrich
Repository: CRAN
Date/Publication: 2019-05-03 15:50:13 UTC

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New package trendsegmentR with initial version 1.0.0
Package: trendsegmentR
Title: Linear Trend Segmentation and Point Anomaly Detection
Version: 1.0.0
Authors@R: c(person("Hyeyoung", "Maeng", email = "h.maeng@lse.ac.uk", role = c("aut", "cre")), person("Piotr", "Fryzlewicz", email = "p.fryzlewicz@lse.ac.uk", role="aut"))
Description: Performs the detection of point anomalies and linear trend changes for univariate time series by implementing the bottom-up unbalanced wavelet transformation proposed by H. Maeng and P. Fryzlewicz (2019) <http://personal.lse.ac.uk/maengh/>. The estimated number and locations of the change-points are returned with the piecewise-linear estimator for signal.
Depends: R (>= 3.6.0)
License: GPL
Encoding: UTF-8
RoxygenNote: 6.1.1
LazyData: true
NeedsCompilation: no
Maintainer: Hyeyoung Maeng <h.maeng@lse.ac.uk>
Repository: CRAN
Packaged: 2019-05-03 13:16:21 UTC; maengh
Author: Hyeyoung Maeng [aut, cre], Piotr Fryzlewicz [aut]
Date/Publication: 2019-05-03 15:20:03 UTC

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New package Sojourn.Data with initial version 0.1.0
Package: Sojourn.Data
Type: Package
Title: Supporting Objects for Sojourn Accelerometer Methods
Version: 0.1.0
Authors@R: c( person(c("Paul", "R."), "Hibbing", email = "paulhibbing@gmail.com", role = c("aut","cre")), person(c("Kate"), "Lyden", email = "katelyden6@gmail.com", role = c("aut")) )
Depends: R (>= 3.1.0)
Description: Stores objects (e.g. neural networks) that are needed for using Sojourn accelerometer methods. For more information, see Lyden K, Keadle S, Staudenmayer J, & Freedson P (2014) <doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ, Kim Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>, and Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/paulhibbing/Sojourn.Data
BugReports: https://github.com/paulhibbing/Sojourn.Data/issues
Imports: caret, nnet
NeedsCompilation: no
Packaged: 2019-05-02 04:10:45 UTC; Paul
Author: Paul R. Hibbing [aut, cre], Kate Lyden [aut]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 15:40:03 UTC

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New package SimVitD with initial version 0.1.0
Package: SimVitD
Type: Package
Title: Simulation Tools for Planning Vitamin D Studies
Version: 0.1.0
Author: Rebecca Mangan
Maintainer: Jason Wyse <wyseja@tcd.ie>
Description: Simulation tools for planning Vitamin D studies including approximation of power. Individual vitamin D status profiles are simulated, modelling population heterogeneity. Individuals experience random exposures to infectious agents. Development of infection considers a heterogeneous treatment effect. This is incorporated into the power approximation.
License: GPL (>= 2)
Depends: poisson
Suggests: R.rsp
VignetteBuilder: R.rsp
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-05-03 06:20:22 UTC; jason
Repository: CRAN
Date/Publication: 2019-05-03 15:30:13 UTC

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Package sampleSelection updated to version 1.2-6 with previous version 1.2-2 dated 2019-02-19

Title: Sample Selection Models
Description: Two-step and maximum likelihood estimation of Heckman-type sample selection models: standard sample selection models (Tobit-2), endogenous switching regression models (Tobit-5), sample selection models with binary dependent outcome variable, interval regression with sample selection (only ML estimation), and endogenous treatment effects models. These methods are described in the three vignettes that are included in this package and in econometric textbooks such as Greene (2011, Econometric Analysis, 7th edition, Pearson).
Author: Arne Henningsen [aut, cre], Ott Toomet [aut], Sebastian Petersen [ctb]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

Diff between sampleSelection versions 1.2-2 dated 2019-02-19 and 1.2-6 dated 2019-05-03

 DESCRIPTION                            |   14 -
 MD5                                    |   34 +--
 NAMESPACE                              |    2 
 NEWS                                   |    9 
 R/binaryChoice.R                       |    2 
 R/invMillsRatio.R                      |    4 
 build/vignette.rds                     |binary
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 tests/selection.R                      |    3 
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 18 files changed, 57 insertions(+), 656 deletions(-)

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New package rnassqs with initial version 0.4.0
Package: rnassqs
Type: Package
Title: Access the NASS 'Quick Stats' API
Version: 0.4.0
Date: 2019-04-29
Authors@R: c( person('Nicholas', 'Potter', email='potter.nicholas@gmail.com', role = c('aut', 'cre')), person('Joseph', 'Stachelek', email='', role = c('ctb')), person('Julia', 'Piaskowski', email='', role = c('ctb')))
Maintainer: Nicholas Potter <potter.nicholas@gmail.com>
Description: Interface to access data via the United States Department of Agricultre's National Agricultural Statistical Service (NASS) 'Quick Stats' web API <https://quickstats.nass.usda.gov/api>. Convenience functions facilitate building queries based on available parameters and valid parameter values.
URL: https://github.com/potterzot/rnassqs
BugReports: http://www.github.com/potterzot/rnassqs/issues
License: MIT + file LICENSE
LazyData: TRUE
Language: en-US
Imports: httr, jsonlite,
Suggests: testthat, here, knitr, rmarkdown
RoxygenNote: 6.1.1
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-02 17:54:30 UTC; potterzot
Author: Nicholas Potter [aut, cre], Joseph Stachelek [ctb], Julia Piaskowski [ctb]
Repository: CRAN
Date/Publication: 2019-05-03 15:30:03 UTC

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New package paws.security.identity with initial version 0.1.0
Package: paws.security.identity
Title: Amazon Web Services Security, Identity, & Compliance APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services security, identity, and compliance APIs, including the 'Identity & Access Management' ('IAM') service for managing access to services and resources, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'acm_service.R' 'acm_interfaces.R' 'acm_operations.R' 'acmpca_service.R' 'acmpca_interfaces.R' 'acmpca_operations.R' 'clouddirectory_service.R' 'clouddirectory_interfaces.R' 'clouddirectory_operations.R' 'cloudhsm_service.R' 'cloudhsm_interfaces.R' 'cloudhsm_operations.R' 'cloudhsmv2_service.R' 'cloudhsmv2_interfaces.R' 'cloudhsmv2_operations.R' 'cognitoidentity_service.R' 'cognitoidentity_interfaces.R' 'cognitoidentity_operations.R' 'cognitoidentityprovider_service.R' 'cognitoidentityprovider_interfaces.R' 'cognitoidentityprovider_operations.R' 'cognitosync_service.R' 'cognitosync_interfaces.R' 'cognitosync_operations.R' 'directoryservice_service.R' 'directoryservice_interfaces.R' 'directoryservice_operations.R' 'fms_service.R' 'fms_interfaces.R' 'fms_operations.R' 'guardduty_service.R' 'guardduty_interfaces.R' 'guardduty_operations.R' 'iam_service.R' 'iam_interfaces.R' 'iam_operations.R' 'inspector_service.R' 'inspector_interfaces.R' 'inspector_operations.R' 'kms_service.R' 'kms_interfaces.R' 'kms_operations.R' 'macie_service.R' 'macie_interfaces.R' 'macie_operations.R' 'ram_service.R' 'ram_interfaces.R' 'ram_operations.R' 'secretsmanager_service.R' 'secretsmanager_interfaces.R' 'secretsmanager_operations.R' 'securityhub_service.R' 'securityhub_interfaces.R' 'securityhub_operations.R' 'shield_service.R' 'shield_interfaces.R' 'shield_operations.R' 'sts_service.R' 'sts_interfaces.R' 'sts_operations.R' 'waf_service.R' 'waf_interfaces.R' 'waf_operations.R' 'wafregional_service.R' 'wafregional_interfaces.R' 'wafregional_operations.R'
NeedsCompilation: no
Packaged: 2019-04-30 23:49:20 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 15:20:06 UTC

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Package eplusr updated to version 0.10.0 with previous version 0.9.4 dated 2018-12-05

Title: A Toolkit for Using Whole Building Simulation Program 'EnergyPlus'
Description: A rich toolkit of using the whole building simulation program 'EnergyPlus'(<https://energyplus.net>), which enables programmatic navigation, modification of 'EnergyPlus' models and makes it less painful to do parametric simulations and analysis.
Author: Hongyuan Jia [aut, cre] (<https://orcid.org/0000-0002-0075-8183>)
Maintainer: Hongyuan Jia <hongyuanjia@cqu.edu.cn>

Diff between eplusr versions 0.9.4 dated 2018-12-05 and 0.10.0 dated 2019-05-03

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New package EmiStatR with initial version 1.2.2.0
Package: EmiStatR
Type: Package
Title: Emissions and Statistics in R for Wastewater and Pollutants in Combined Sewer Systems
Version: 1.2.2.0
Date: 2019-05-03
Author: J.A. Torres-Matallana [aut, cre] K. Klepiszewski [aut, cre] U. Leopold [ctb] G. Schutz [ctb] G.B.M. Heuvelink [ctb]
Maintainer: J.A. Torres-Matallana <arturo.torres@list.lu>
Description: Provides a fast and parallelised calculator to estimate combined wastewater emissions. It supports the planning and design of urban drainage systems, without the requirement of extensive simulation tools. The 'EmiStatR' package implements modular R methods. This enables to add new functionalities through the R framework.
License: GPL (>= 3)
Depends: R (>= 2.10), methods
Imports: utils, grDevices, graphics, stats, xts, zoo, foreach, parallel, lattice, doParallel
NeedsCompilation: no
StagedInstall: yes
Packaged: 2019-05-03 09:50:03 UTC; atorres
Repository: CRAN
Date/Publication: 2019-05-03 15:50:24 UTC

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Package DoE.base updated to version 1.1-3 with previous version 1.1 dated 2018-08-22

Title: Full Factorials, Orthogonal Arrays and Base Utilities for DoE Packages
Description: Creates full factorial experimental designs and designs based on orthogonal arrays for (industrial) experiments. Provides diverse quality criteria. Provides utility functions for the class design, which is also used by other packages for designed experiments.
Author: Ulrike Groemping [aut, cre], Boyko Amarov [ctb], Hongquan Xu [ctb]
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>

Diff between DoE.base versions 1.1 dated 2018-08-22 and 1.1-3 dated 2019-05-03

 DESCRIPTION                     |    8 
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 NAMESPACE                       |    5 
 R/export.design.R               |    4 
 R/print.oa.R                    |   39 
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 22 files changed, 4137 insertions(+), 3980 deletions(-)

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Package BIOMASS updated to version 2.1.1 with previous version 2.1 dated 2019-03-26

Title: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests
Description: Contains functions to estimate aboveground biomass/carbon and its uncertainty in tropical forests. These functions allow to (1) retrieve and to correct taxonomy, (2) estimate wood density and its uncertainty, (3) construct height-diameter models, (4) manage tree and plot coordinates, (5) estimate the aboveground biomass/carbon at the stand level with associated uncertainty. To cite BIOMASS, please use citation("BIOMASS"). See more in the article of Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.
Author: Maxime Réjou-Méchain [aut, cre, dtc], Ariane Tanguy [aut], Camille Piponiot [aut], Jerome Chave [dtc], Bruno Herault [aut], Arthur Pere [aut], Guillaume Cornu [aut] (<https://orcid.org/0000-0002-7523-5176>), Ted Feldpausch [dtc], Philippe Verley [ctb]
Maintainer: Maxime Réjou-Méchain <maxime.rejou@gmail.com>

Diff between BIOMASS versions 2.1 dated 2019-03-26 and 2.1.1 dated 2019-05-03

 DESCRIPTION                             |   14 +-
 MD5                                     |   28 ++--
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 tests/testthat/test_02_getWoodDensity.R |   46 +++----
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 15 files changed, 224 insertions(+), 202 deletions(-)

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New package amerika with initial version 0.1.0
Package: amerika
Type: Package
Title: American Politics-Inspired Color Palette Generator
Version: 0.1.0
Authors@R: person("Philip", "Waggoner", role = c("aut", "cre"), email = "philip.waggoner@gmail.com", comment = c(ORCID = "0000-0002-7825-7573"))
Maintainer: Philip Waggoner <philip.waggoner@gmail.com>
BugReports: https://github.com/pdwaggoner/amerika/issues
Description: A color palette generator inspired by American politics, with colors ranging from blue on the left to gray in the middle and red on the right. A variety of palettes allow for a range of applications from brief discrete scales (e.g., three colors for Democrats, Independents, and Republicans) to continuous interpolated arrays including dozens of shades graded from blue (left) to red (right). This package greatly benefitted from building on the source code (with permission) from Ram and Wickham (2015).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-02 13:27:05 UTC; bpwaggo
Author: Philip Waggoner [aut, cre] (<https://orcid.org/0000-0002-7825-7573>)
Repository: CRAN
Date/Publication: 2019-05-03 15:20:21 UTC

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Package varImp updated to version 0.3 with previous version 0.2 dated 2018-08-06

Title: RF Variable Importance for Arbitrary Measures
Description: Computes the random forest variable importance (VIMP) for the conditional inference random forest (cforest) of the 'party' package. Includes a function (varImp) that computes the VIMP for arbitrary measures from the 'measures' package. For calculating the VIMP regarding the measures accuracy and AUC two extra functions exist (varImpACC and varImpAUC).
Author: Philipp Probst [aut, cre], Silke Janitza [ctb]
Maintainer: Philipp Probst <philipp_probst@gmx.de>

Diff between varImp versions 0.2 dated 2018-08-06 and 0.3 dated 2019-05-03

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 15 files changed, 686 insertions(+), 663 deletions(-)

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Package arsenal updated to version 3.1.0 with previous version 3.0.0 dated 2019-03-25

Title: An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
Description: An Arsenal of 'R' functions for large-scale statistical summaries, which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and which use formulas and versatile summary statistics for summary tables and models. The primary functions include tableby(), a Table-1-like summary of multiple variable types 'by' the levels of one or more categorical variables; paired(), a Table-1-like summary of multiple variable types paired across two time points; modelsum(), which performs simple model fits on one or more endpoints for many variables (univariate or adjusted for covariates); freqlist(), a powerful frequency table across many categorical variables; comparedf(), a function for comparing data.frames; and write2(), a function to output tables to a document.
Author: Ethan Heinzen [aut, cre], Jason Sinnwell [aut], Elizabeth Atkinson [aut], Tina Gunderson [aut], Gregory Dougherty [aut], Patrick Votruba [ctb], Ryan Lennon [ctb], Andrew Hanson [ctb], Krista Goergen [ctb], Emily Lundt [ctb], Brendan Broderick [ctb], Maddie McCullough [art]
Maintainer: Ethan Heinzen <heinzen.ethan@mayo.edu>

Diff between arsenal versions 3.0.0 dated 2019-03-25 and 3.1.0 dated 2019-05-03

 arsenal-3.0.0/arsenal/man/summary.compare.Rd             |only
 arsenal-3.1.0/arsenal/DESCRIPTION                        |    8 
 arsenal-3.1.0/arsenal/MD5                                |   78 
 arsenal-3.1.0/arsenal/NAMESPACE                          |    2 
 arsenal-3.1.0/arsenal/NEWS.md                            |   33 
 arsenal-3.1.0/arsenal/R/as.data.frame.tableby.R          |   19 
 arsenal-3.1.0/arsenal/R/comparedf.R                      |    6 
 arsenal-3.1.0/arsenal/R/comparedf.control.R              |   31 
 arsenal-3.1.0/arsenal/R/comparedf.internal.R             |   19 
 arsenal-3.1.0/arsenal/R/comparedf.tolerances.R           |    2 
 arsenal-3.1.0/arsenal/R/paired.control.R                 |   40 
 arsenal-3.1.0/arsenal/R/summary.comparedf.R              |   96 
 arsenal-3.1.0/arsenal/R/tableby.R                        |    2 
 arsenal-3.1.0/arsenal/R/tableby.control.R                |   48 
 arsenal-3.1.0/arsenal/R/tableby.internal.R               |   22 
 arsenal-3.1.0/arsenal/R/tableby.stats.R                  |   32 
 arsenal-3.1.0/arsenal/inst/doc/comparedf.html            | 1274 ++++++++--
 arsenal-3.1.0/arsenal/inst/doc/freqlist.html             |  494 ++-
 arsenal-3.1.0/arsenal/inst/doc/labels.html               |  390 ++-
 arsenal-3.1.0/arsenal/inst/doc/modelsum.html             | 1896 ++++++++-------
 arsenal-3.1.0/arsenal/inst/doc/paired.html               |  369 ++
 arsenal-3.1.0/arsenal/inst/doc/tableby.R                 |   15 
 arsenal-3.1.0/arsenal/inst/doc/tableby.Rmd               |   20 
 arsenal-3.1.0/arsenal/inst/doc/tableby.html              |  862 ++++--
 arsenal-3.1.0/arsenal/inst/doc/write2.html               |  600 +++-
 arsenal-3.1.0/arsenal/man/comparedf.control.Rd           |   16 
 arsenal-3.1.0/arsenal/man/diffs.Rd                       |    3 
 arsenal-3.1.0/arsenal/man/paired.control.Rd              |   60 
 arsenal-3.1.0/arsenal/man/summary.comparedf.Rd           |only
 arsenal-3.1.0/arsenal/man/tableby.control.Rd             |   37 
 arsenal-3.1.0/arsenal/man/tableby.stats.Rd               |    7 
 arsenal-3.1.0/arsenal/man/tableby.stats.internal.Rd      |    6 
 arsenal-3.1.0/arsenal/tests/testthat/test_comparedf.R    |  169 -
 arsenal-3.1.0/arsenal/tests/testthat/test_lhs_tableby.R  |    6 
 arsenal-3.1.0/arsenal/tests/testthat/test_modelsum.R     |   73 
 arsenal-3.1.0/arsenal/tests/testthat/test_paired.R       |   28 
 arsenal-3.1.0/arsenal/tests/testthat/test_tableby.R      |  162 -
 arsenal-3.1.0/arsenal/tests/testthat/test_write2.R       |    1 
 arsenal-3.1.0/arsenal/tests/testthat/write2.lm.pdf.Rmd   |    2 
 arsenal-3.1.0/arsenal/tests/testthat/write2.yaml.pdf.Rmd |    2 
 arsenal-3.1.0/arsenal/vignettes/tableby.Rmd              |   20 
 41 files changed, 4799 insertions(+), 2151 deletions(-)

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New package paws.application.integration with initial version 0.1.0
Package: paws.application.integration
Title: Amazon Web Services Application Integration APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services application integration APIs, including 'Simple Queue Service' ('SQS') message queue, 'Simple Notification Service' ('SNS') publish/subscribe messaging, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'mq_service.R' 'mq_interfaces.R' 'mq_operations.R' 'sfn_service.R' 'sfn_interfaces.R' 'sfn_operations.R' 'sns_service.R' 'sns_interfaces.R' 'sns_operations.R' 'sqs_service.R' 'sqs_interfaces.R' 'sqs_operations.R' 'swf_service.R' 'swf_interfaces.R' 'swf_operations.R'
NeedsCompilation: no
Packaged: 2019-04-30 23:43:38 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 13:10:03 UTC

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New package istacr with initial version 0.1.0
Package: istacr
Type: Package
Title: Obtaining Open Data from Instituto Canario De Estadistica (ISTAC) API
Version: 0.1.0
Date: 2019-04-24
Authors@R: c( person("Alberto", "Gonzalez", email = "jgonyanp@gobiernodecanarias.org", role = c("aut", "cre")) )
Maintainer: Alberto Gonzalez <jgonyanp@gobiernodecanarias.org>
Description: You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://www.gobiernodecanarias.org/istac/api/>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: jsonlite, curl
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-24 06:40:46 UTC; ext-anacgar
Author: Alberto Gonzalez [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-03 13:50:03 UTC

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New package gunit with initial version 1.0.0
Package: gunit
Type: Package
Title: Converts Conductance Units
Version: 1.0.0
Authors@R: person("Chris", "Muir", role = c("aut", "cre"), email = "cdmuir@hawaii.edu", comment = c(ORCID = "0000-0003-2555-3878"))
Description: For plant physiologists, converts conductance (e.g. stomatal conductance) to different units: m/s, mol/m^2/s, and umol/m^2/s/Pa.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat
RoxygenNote: 6.1.1
Imports: magrittr (>= 1.5.0), stringr (>= 1.4.0), units (>= 0.6.0), tibble (>= 2.1.1)
URL: https://github.com/cdmuir/gunit
BugReports: https://github.com/cdmuir/gunit/issues
NeedsCompilation: no
Packaged: 2019-05-03 08:13:59 UTC; cdmuir
Author: Chris Muir [aut, cre] (<https://orcid.org/0000-0003-2555-3878>)
Maintainer: Chris Muir <cdmuir@hawaii.edu>
Repository: CRAN
Date/Publication: 2019-05-03 13:30:03 UTC

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Package FrF2 updated to version 1.7-3 with previous version 1.7-2 dated 2016-09-30

Title: Fractional Factorial Designs with 2-Level Factors
Description: Regular and non-regular Fractional Factorial 2-level designs can be created. Furthermore, analysis tools for Fractional Factorial designs with 2-level factors are offered (main effects and interaction plots for all factors simultaneously, cube plot for looking at the simultaneous effects of three factors, full or half normal plot, alias structure in a more readable format than with the built-in function alias).
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>

Diff between FrF2 versions 1.7-2 dated 2016-09-30 and 1.7-3 dated 2019-05-03

 DESCRIPTION                                |    8 
 MD5                                        |   24 
 inst/NEWS                                  |   12 
 man/FrF2.Rd                                |   19 
 man/FrF2Large.Rd                           |   20 
 man/pb.Rd                                  |   18 
 tests/FrF2test.R                           |    1 
 tests/FrF2test.Rout.save                   |  542 ++---
 tests/addcentertest.Rout.save              | 2952 ++++++++++++++---------------
 tests/foldtest.Rout.save                   |  213 +-
 tests/generators.from.designtest.Rout.save |   52 
 tests/generators.summary.test.Rout.save    |   48 
 tests/pbtest.Rout.save                     |   91 
 13 files changed, 2053 insertions(+), 1947 deletions(-)

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Package farff updated to version 1.1 with previous version 1.0 dated 2016-09-10

Title: A Faster 'ARFF' File Reader and Writer
Description: Reads and writes 'ARFF' files. 'ARFF' (Attribute-Relation File Format) files are like 'CSV' files, with a little bit of added meta information in a header and standardized NA values. They are quite often used for machine learning data sets and were introduced for the 'WEKA' machine learning 'Java' toolbox. See <http://weka.wikispaces.com/ARFF> for further info on 'ARFF' and for <http://www.cs.waikato.ac.nz/ml/weka/> for more info on 'WEKA'. 'farff' gets rid of the 'Java' dependency that 'RWeka' enforces, and it is at least a faster reader (for bigger files). It uses 'readr' as parser back-end for the data section of the 'ARFF' file. Consistency with 'RWeka' is tested on 'Github' and 'Travis CI' with hundreds of 'ARFF' files from 'OpenML'. Note that the 'OpenML' package is currently only available from 'Github' at: <https://github.com/openml/openml-r>.
Author: Bernd Bischl [aut, cre], Jakob Bossek [aut]
Maintainer: Bernd Bischl <bernd_bischl@gmx.net>

Diff between farff versions 1.0 dated 2016-09-10 and 1.1 dated 2019-05-03

 DESCRIPTION                    |    8 ++++----
 MD5                            |   28 +++++++++++++++-------------
 NAMESPACE                      |    2 +-
 NEWS.md                        |    8 ++++----
 R/helpers.R                    |   13 +++++++++++++
 R/parseHeader.R                |    2 +-
 R/readARFF.R                   |   10 +++++++---
 R/writeARFF.R                  |    3 +--
 R/zzz.R                        |    2 +-
 inst/arffs/check_logicals.arff |only
 man/readARFF.Rd                |    1 -
 man/writeARFF.Rd               |    4 +---
 src/init.c                     |only
 src/preproc_datatable.c        |    2 +-
 src/preproc_readr.c            |    6 +++---
 tests/testthat/test_quick.R    |    4 ++--
 16 files changed, 54 insertions(+), 39 deletions(-)

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New package distill with initial version 0.7
Type: Package
Package: distill
Title: 'R Markdown' Format for Scientific and Technical Writing
Version: 0.7
Authors@R: c( person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"), person("Rich", "Iannone", role = c("aut")), person("Yihui", "Xie", role = c("aut")), person(family = "RStudio, Inc.", role = "cph"), person(family = "Google LLC", role = c("ctb", "cph"), comment = "https://distill.pub/guide/"), person("Nick", "Williams", role = c("ctb", "cph"), comment = "https://wicky.nillia.ms/headroom.js/"), person("Denis", "Demchenko", role = c("ctb", "cph"), comment = "https://github.com/lancedikson/bowser"), person(family = "The Polymer Authors", role = c("ctb", "cph"), comment = "https://www.webcomponents.org/polyfills/"), person("Gábor", "Csárdi", role = c("ctb", "cph"), comment = "whoami") )
Description: Scientific and technical article format for the web. 'Distill' articles feature attractive, reader-friendly typography, flexible layout options for visualizations, and full support for footnotes and citations.
License: Apache License 2.0
URL: https://github.com/rstudio/distill
BugReports: https://github.com/rstudio/distill/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: utils, stats, tools, rmarkdown (>= 1.10), bookdown (>= 0.8), xfun (>= 0.2), htmltools, jsonlite (>= 1.3), lubridate, png, mime, rstudioapi, rprojroot, xml2, base64enc, whisker, downloader, progress, stringr, knitr (>= 1.15.6), digest, yaml
Suggests: htmlwidgets, r2d3, DiagrammeR, shiny, rsconnect, testthat
Language: en-US
NeedsCompilation: no
Packaged: 2019-05-02 12:02:05 UTC; jjallaire
Author: JJ Allaire [aut, cre], Rich Iannone [aut], Yihui Xie [aut], RStudio, Inc. [cph], Google LLC [ctb, cph] (https://distill.pub/guide/), Nick Williams [ctb, cph] (https://wicky.nillia.ms/headroom.js/), Denis Demchenko [ctb, cph] (https://github.com/lancedikson/bowser), The Polymer Authors [ctb, cph] (https://www.webcomponents.org/polyfills/), Gábor Csárdi [ctb, cph] (whoami)
Maintainer: JJ Allaire <jj@rstudio.com>
Repository: CRAN
Date/Publication: 2019-05-03 13:10:08 UTC

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New package dialr with initial version 0.2.1
Package: dialr
Title: Parse, Format, and Validate International Phone Numbers
Version: 0.2.1
Authors@R: c(person(given = "Danny", family = "Smith", role = c("aut", "cre"), email = "danny@gorcha.org"), person(given = "The Social Research Centre", role = "cph"))
Description: Parse, format, and validate international phone numbers using Google's 'libphonenumber' java library, <https://github.com/googlei18n/libphonenumber>.
License: GPL-3
URL: https://socialresearchcentre.github.io/dialr, https://github.com/socialresearchcentre/dialr, https://github.com/socialresearchcentre/dialrjars, https://github.com/googlei18n/libphonenumber
BugReports: https://github.com/socialresearchcentre/dialr/issues
Depends: R (>= 3.2.3)
Imports: dialrjars, rJava
Suggests: covr, dplyr, knitr, pillar, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 6.1.1
SystemRequirements: java (>= 1.6)
Packaged: 2019-05-02 10:43:35 UTC; danny
Author: Danny Smith [aut, cre], The Social Research Centre [cph]
Maintainer: Danny Smith <danny@gorcha.org>
Repository: CRAN
Date/Publication: 2019-05-03 13:10:12 UTC

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New package dani with initial version 0.1-0
Package: dani
Type: Package
Title: Design and Analysis of Non-Inferiority Trials
Version: 0.1-0
Date: 2019-05-02
Author: Matteo Quartagno
Maintainer: Matteo Quartagno <m.quartagno@ucl.ac.uk>
Description: Provides tools to help the design and analysis of resilient non-inferiority trials. These include functions for sample size calculations and analyses of trials, with either a risk difference, risk ratio or arc-sine difference margin, and a function to run simulations to design a trial with the methods described in Quartagno et al. (2019) <arXiv:1905.00241>.
License: GPL-2
Depends: Epi
NeedsCompilation: no
Packaged: 2019-05-03 12:59:15 UTC; rmjlmqu
Repository: CRAN
Date/Publication: 2019-05-03 13:30:11 UTC

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New package suddengains with initial version 0.1.0
Package: suddengains
Title: Identify Sudden Gains in Longitudinal Data
Date: 2019-05-01
Version: 0.1.0
Authors@R: c( person("Milan", "Wiedemann", email = "milan.wiedemann@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1991-282X")), person("Graham M", "Thew", role = "ctb", comment = c(ORCID = "0000-0003-2851-1315")), person("Richard", "Stott", role = "ctb", comment = c(ORCID = "0000-0003-2533-5504")), person("Anke", "Ehlers", role = c("ctb", "ths"), comment = c(ORCID = "0000-0002-8742-0192")) )
Description: Identify sudden gains based on the criteria outlined by Tang and DeRubeis (1999) <doi:10.1037/0022-006X.67.6.894>. Sudden losses, defined as the opposite of sudden gains can also be identified. It applies all three criteria to a dataset while adjusting the third criteria for missing values. It handles multiple gains per person by creating two datasets, one with all sudden gains and one with one selected sudden gain for each participant. It can extract and plot scores around sudden gains on multiple measures. See the GitHub repository for more information and examples.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/milanwiedemann/suddengains
BugReports: https://github.com/milanwiedemann/suddengains/issues
LazyData: true
Imports: dplyr (>= 0.7.4), tibble (>= 1.4.2), magrittr (>= 1.5), rlang (>= 0.1.6), stringr (>= 1.4.0), ggplot2 (>= 2.2.1), psych (>= 1.7.8), reshape2 (>= 1.4.3), readr (>= 1.1.0), tidyr (>= 0.8.2)
Suggests: haven (>= 2.1.0), writexl (>= 1.1.0), knitr (>= 1.21), DT (>= 0.5), rmarkdown (>= 1.11), spelling (>= 2.1)
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2019-05-01 23:00:09 UTC; milanwiedemann
Author: Milan Wiedemann [aut, cre] (<https://orcid.org/0000-0003-1991-282X>), Graham M Thew [ctb] (<https://orcid.org/0000-0003-2851-1315>), Richard Stott [ctb] (<https://orcid.org/0000-0003-2533-5504>), Anke Ehlers [ctb, ths] (<https://orcid.org/0000-0002-8742-0192>)
Maintainer: Milan Wiedemann <milan.wiedemann@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 12:40:04 UTC

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New package scgwr with initial version 0.1.0
Package: scgwr
Type: Package
Title: Scalable Geographically Weighted Regression
Version: 0.1.0
Author: Daisuke Murakami[cre,aut], Narumasa Tsutsumida[ctb], Takahiro Yoshida[ctb], Tomoki Nakaya[ctb], Lu Binbin[ctb]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>
Description: Estimates a fast and regularized version of GWR for large dataset, detailed in Murakami, Tsutsumida, Yoshida, Nakaya, and Lu (2019) <arXiv:1905.00266>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: FNN, spData, dplyr
NeedsCompilation: no
Packaged: 2019-05-02 01:19:37 UTC; murakami
Repository: CRAN
Date/Publication: 2019-05-03 12:50:03 UTC

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New package rTRNG with initial version 4.20-1
Package: rTRNG
Title: Advanced and Parallel Random Number Generation via 'TRNG'
Version: 4.20-1
Authors@R: c(person("Riccardo", "Porreca", role = c("aut", "cre"), email = "riccardo.porreca@mirai-solutions.com"), person("Roland", "Schmid", role = "aut", email = "roland.schmid@mirai-solutions.com"), person("Mirai Solutions GmbH", role = "cph", email = "info@mirai-solutions.com"), person("Heiko", "Bauke", role = c("ctb", "cph"), comment = "TRNG sources and headers"))
Description: Embeds sources and headers from Tina's Random Number Generator ('TRNG') C++ library. Exposes some functionality for easier access, testing and benchmarking into R. Provides examples of how to use parallel RNG with 'RcppParallel'. The methods and techniques behind 'TRNG' are illustrated in the package vignettes and examples. Full documentation is available in Bauke (2018) <https://numbercrunch.de/trng/trng.pdf>.
License: GPL-3
URL: https://github.com/miraisolutions/rTRNG#readme, https://mirai-solutions.ch
BugReports: https://github.com/miraisolutions/rTRNG/issues
SystemRequirements: GNU make
Imports: methods, Rcpp (>= 0.11.6), RcppParallel
Suggests: covr, knitr, R.rsp, rmarkdown, testthat (>= 2.0.0)
LinkingTo: Rcpp, RcppParallel
VignetteBuilder: knitr, R.rsp
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 6.1.1
Collate: 'LdFlags.R' 'RcppExports.R' 'TRNG.Engine.R' 'TRNG.Random.R' 'TRNGkind.R' 'TRNGseed.R' 'TRNGjump.R' 'TRNGsplit.R' 'TRNG.Random.seed.R' 'TRNG.Version.R' 'currentEngine.R' 'defaultKind.R' 'inline.R' 'rTRNG-package.R' 'rbinom_trng.R' 'rlnorm_trng.R' 'rnorm_trng.R' 'rpois_trng.R' 'runif_trng.R' 'zzz.R'
Packaged: 2019-04-27 14:01:09 UTC; mirai
Author: Riccardo Porreca [aut, cre], Roland Schmid [aut], Mirai Solutions GmbH [cph], Heiko Bauke [ctb, cph] (TRNG sources and headers)
Maintainer: Riccardo Porreca <riccardo.porreca@mirai-solutions.com>
Repository: CRAN
Date/Publication: 2019-05-03 12:10:03 UTC

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Package rcartocolor updated to version 2.0.0 with previous version 1.0.0 dated 2019-03-08

Title: 'CARTOColors' Palettes
Description: Provides color schemes for maps and other graphics designed by 'CARTO' as described at <https://carto.com/carto-colors/>. It includes four types of palettes: aggregation, diverging, qualitative, and quantitative.
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

Diff between rcartocolor versions 1.0.0 dated 2019-03-08 and 2.0.0 dated 2019-05-03

 DESCRIPTION                         |   12 +++++------
 MD5                                 |   38 ++++++++++++++++++------------------
 R/carto_pal.R                       |    1 
 R/carto_scale.R                     |    1 
 R/display_carto_all.R               |   19 ++++++++++++------
 R/display_carto_pal.R               |    2 -
 R/metacartocolors.R                 |    1 
 README.md                           |   14 ++++++++++---
 data/metacartocolors.rda            |binary
 inst                                |only
 man/carto_pal.Rd                    |    1 
 man/carto_scale.Rd                  |    1 
 man/display_carto_all.Rd            |   16 ++++++++-------
 man/display_carto_pal.Rd            |    3 --
 man/figures/README-example-1.png    |binary
 man/figures/README-example3-1.png   |binary
 man/figures/README-example4-1.png   |only
 man/figures/README-examplegg1-1.png |binary
 man/figures/README-examplegg2-1.png |binary
 man/metacartocolors.Rd              |    1 
 tests/testthat/test-palettes.R      |    2 -
 21 files changed, 64 insertions(+), 48 deletions(-)

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New package RBtest with initial version 1.0
Package: RBtest
Type: Package
Title: Regression-Based Approach for Testing the Type of Missing Data
Version: 1.0
Author: Serguei Rouzinov and André Berchtold
Maintainer: Serguei Rouzinov <rouzinovs@gmail.com>
Description: The regression-based (RB) approach is a method to test the missing data mechanism. This package contains two functions that test the type of missing data (Missing Completely At Random vs Missing At Random) on the basis of the RB approach. The first function applies the RB approach independently on each variable with missing data, using the completely observed variables only. The second function tests the missing data mechanism globally (on all variables with missing data) with the use of all available information. The algorithm is adapted both to continuous and categorical data.
License: GPL-3
Imports: nnet, mice, psych
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-21 12:01:04 UTC; Serguei
Repository: CRAN
Date/Publication: 2019-05-03 12:40:18 UTC

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New package prettyB with initial version 0.1.1
Package: prettyB
Type: Package
Title: Pretty Base Graphics
Version: 0.1.1
Authors@R: person(given="Colin", family="Gillespie", email="csgillespie@gmail.com", role = c("aut", "cre"))
Maintainer: Colin Gillespie <csgillespie@gmail.com>
Description: Modifications to standard base graphics. By masking function base function calls, standard plots are able to have themes.
License: GPL-2 | GPL-3
Imports: grDevices, stats, graphics
Suggests: testthat, vdiffr, covr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-01 10:27:02 UTC; ncsg3
Author: Colin Gillespie [aut, cre]
Repository: CRAN
Date/Publication: 2019-05-03 12:40:08 UTC

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New package paws.storage with initial version 0.1.0
Package: paws.storage
Title: Amazon Web Services Storage APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services storage APIs, including 'Simple Storage Service' ('S3') and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'backup_service.R' 'backup_interfaces.R' 'backup_operations.R' 'dlm_service.R' 'dlm_interfaces.R' 'dlm_operations.R' 'efs_service.R' 'efs_interfaces.R' 'efs_operations.R' 'fsx_service.R' 'fsx_interfaces.R' 'fsx_operations.R' 'glacier_service.R' 'glacier_interfaces.R' 'glacier_operations.R' 's3_service.R' 's3_interfaces.R' 's3_operations.R' 's3control_service.R' 's3control_interfaces.R' 's3control_operations.R' 'storagegateway_service.R' 'storagegateway_interfaces.R' 'storagegateway_operations.R'
NeedsCompilation: no
Packaged: 2019-04-30 23:36:55 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 12:40:11 UTC

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New package paws.database with initial version 0.1.0
Package: paws.database
Title: Amazon Web Services Database APIs
Version: 0.1.0
Authors@R: c(person(given = "David", family = "Kretch", role = c("aut", "cre"), email = "david.kretch@gmail.com"), person(given = "Adam", family = "Banker", role = "aut", email = "adam.banker39@gmail.com"), person(given = "Amazon.com, Inc.", role = "cph"))
Description: Interface to Amazon Web Services database APIs, including 'Relational Database Service' ('RDS'), 'DynamoDB' 'NoSQL' database, and more <https://aws.amazon.com/>.
License: Apache License (>= 2.0)
Imports: paws.common
Suggests: testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'dax_service.R' 'dax_interfaces.R' 'dax_operations.R' 'docdb_service.R' 'docdb_interfaces.R' 'docdb_operations.R' 'dynamodb_service.R' 'dynamodb_interfaces.R' 'dynamodb_operations.R' 'dynamodbstreams_service.R' 'dynamodbstreams_interfaces.R' 'dynamodbstreams_operations.R' 'elasticache_service.R' 'elasticache_interfaces.R' 'elasticache_operations.R' 'neptune_service.R' 'neptune_interfaces.R' 'neptune_operations.R' 'rds_service.R' 'rds_interfaces.R' 'rds_operations.R' 'rdsdataservice_service.R' 'rdsdataservice_interfaces.R' 'rdsdataservice_operations.R' 'redshift_service.R' 'redshift_interfaces.R' 'redshift_operations.R' 'simpledb_service.R' 'simpledb_interfaces.R' 'simpledb_operations.R'
NeedsCompilation: no
Packaged: 2019-04-30 23:41:20 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-03 12:50:15 UTC

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New package missingHE with initial version 1.0.0
Package: missingHE
Type: Package
Title: Missing Outcome Data in Health Economic Evaluation
Version: 1.0.0
Authors@R: person("Andrea", "Gabrio", email = "ucakgab@ucl.ac.uk", role = c("aut", "cre"))
Description: Contains a suite of functions for health economic evaluations with missing outcome data. The package can fit different types of statistical models under a fully Bayesian approach using the software 'JAGS' (which should be installed locally and which is loaded in 'missingHE' via the 'R' package 'R2jags'). Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. In addition to model fitting, 'missingHE' provides a set of specialised functions to assess model convergence and summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
Depends: R (>= 3.3.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: mcmcplots, ggmcmc, ggthemes, BCEA, ggplot2, grid, gridExtra, methods, R2jags, loo, coda, mcmcr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-02 09:00:29 UTC; Utente
Author: Andrea Gabrio [aut, cre]
Maintainer: Andrea Gabrio <ucakgab@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2019-05-03 12:50:34 UTC

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New package FMradio with initial version 1.1
Package: FMradio
Type: Package
Title: Factor Modeling for Radiomics Data
Version: 1.1
Maintainer: Carel F.W. Peeters <cf.peeters@vumc.nl>
Author: Carel F.W. Peeters [cre, aut], Caroline Ubelhor [ctb]
Description: Functions that support stable prediction and classification with radiomics data through factor-analytic modeling. For details, see Peeters et al. (2019) <arXiv:1903.11696>.
Depends: R (>= 2.15.1)
Imports: stats, ggplot2, reshape, Biobase, graphics, expm, MASS
ByteCompile: true
KeepSource: yes
License: GPL (>= 2)
BuildManual: yes
URL: https://github.com/CFWP/FMradio
NeedsCompilation: no
Packaged: 2019-05-02 07:33:34 UTC; cf.peeters
Repository: CRAN
Date/Publication: 2019-05-03 13:00:06 UTC

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New package devoid with initial version 0.1.0
Package: devoid
Type: Package
Title: A Graphic Device that Does Nothing
Version: 0.1.0
Authors@R: c(person(given = "Thomas Lin", family = "Pedersen", role = c("aut", "cre"), email = "thomas.pedersen@rstudio.com"), person(given = "RStudio", role = "cph"))
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>
Description: Provides a non-drawing graphic device for benchmarking purpose. In order to properly benchmark graphic drawing code it is necessary to factor out the device implementation itself so that results are not related to the specific graphics device used during benchmarking. The 'devoid' package implements a graphic device that accepts all the required calls from R's graphic engine but performs no action. Apart from benchmarking it is unlikely that this device has any practical use.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/r-lib/devoid
BugReports: https://github.com/r-lib/devoid/issues
NeedsCompilation: yes
Packaged: 2019-05-01 19:33:58 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre], RStudio [cph]
Repository: CRAN
Date/Publication: 2019-05-03 13:00:03 UTC

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New package CTShiny with initial version 0.1.0
Package: CTShiny
Type: Package
Title: Interactive Document for Working with Classification Tree Analysis
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of classification tree analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyab.shinyapps.io/CTShiny/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.0.3)
Imports: shiny,rmarkdown,dplyr,datasets,caret,e1071,rhandsontable,rpart,rpart.plot,party
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-05-02 05:59:46 UTC; KARTIKEYA
Repository: CRAN
Date/Publication: 2019-05-03 12:51:01 UTC

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New package BVAR with initial version 0.1.3
Package: BVAR
Type: Package
Title: Hierarchical Bayesian Vector Autoregression
Version: 0.1.3
Date: 2019-04-28
Authors@R: c(person("Nikolas", "Kuschnig", role = c("aut", "cre"), email = "nikolas.kuschnig@wu.ac.at"), person("Lukas", "Vashold", role = "aut"), person("Michael", "McCracken", role = "dtc", comment = "author of the FRED-QD dataset"))
Author: Nikolas Kuschnig [aut, cre], Lukas Vashold [aut], Michael McCracken [dtc] (author of the FRED-QD dataset)
Maintainer: Nikolas Kuschnig <nikolas.kuschnig@wu.ac.at>
Description: Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015) <doi:10.1162/REST_a_00483>. Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
URL: https://github.com/nk027/bvar
BugReports: https://github.com/nk027/bvar/issues
Depends: R (>= 3.3.0)
Imports: MASS, stats, graphics, utils
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-05-02 09:56:31 UTC; nikolas
Repository: CRAN
Date/Publication: 2019-05-03 13:00:11 UTC

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Package iarm updated to version 0.2.0 with previous version 0.1.2 dated 2019-03-06

Title: Item Analysis in Rasch Models
Description: Tools to assess model fit and identify misfitting items for Rasch models (RM) and partial credit models (PCM). Included are item fit statistics, item-restscore association, conditional likelihood ratio tests, assessment of measurement error, estimates of the reliability and test targeting as described in Christensen et al. (Eds.) (2013, ISBN:978-1-84821-222-0).
Author: Marianne Mueller [aut, cre]
Maintainer: Marianne Mueller <mllm@zhaw.ch>

Diff between iarm versions 0.1.2 dated 2019-03-06 and 0.2.0 dated 2019-05-03

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New package IOHanalyzer with initial version 0.1.0
Package: IOHanalyzer
Type: Package
Title: Data Analysis Part of 'IOHprofiler'
Version: 0.1.0
Author: Hao Wang [cre, aut], Diederick Vermetten [aut], Carola Doerr [aut], Thomas Bäck [aut]
Maintainer: Hao Wang <h.wang@liacs.leidenuniv.nl>
Authors@R: c( person("Hao", "Wang", email = "h.wang@liacs.leidenuniv.nl", role = c("cre","aut")), person("Diederick", "Vermetten", email="d.vermetten@gmail.com", role = "aut"), person("Carola", "Doerr", email = "Carola.Doerr@mpi-inf.mpg.de", role = "aut"), person("Thomas", "Bäck", email="t.h.w.baeck@liacs.leidenuniv.nl", role = "aut"))
Description: The data analysis module for the Iterative Optimization Heuristics Profiler ('IOHprofiler'). This module provides statistical analysis methods for the benchmark data generated by optimization heuristics, which can be visualized through a web-based interface. The benchmark data is usually generated by the experimentation module, called 'IOHexperimenter'. 'IOHanalyzer' also supports the widely used 'COCO' (Comparing Continuous Optimisers) data format for benchmarking.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
URL: http://iohprofiler.liacs.nl, https://github.com/IOHprofiler/IOHAnalyzer
BugReports: https://github.com/IOHprofiler/IOHAnalyzer/issues
Imports: Rcpp, magrittr, dplyr, reshape2, data.table, ggplot2, plotly, colorspace, colorRamps, RColorBrewer, shiny, shinyjs, shinydashboard, markdown, DBI, dbplyr, withr
LinkingTo: Rcpp
SystemRequirements: C++11
RoxygenNote: 6.1.1
Suggests: testthat
Depends: R (>= 2.10)
Date: 2019-04-29
NeedsCompilation: yes
Packaged: 2019-05-02 09:36:05 UTC; diedi
Repository: CRAN
Date/Publication: 2019-05-03 12:00:03 UTC

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New package Monte.Carlo.se with initial version 0.1.0
Package: Monte.Carlo.se
Type: Package
Title: Monte Carlo Standard Errors
Version: 0.1.0
Author: Dennis Boos, Kevin Matthew, Jason Osborne
Maintainer: Dennis Boos <boos@ncsu.edu>
Description: Computes Monte Carlo standard errors for summaries of Monte Carlo output. Summaries and their standard errors are based on columns of Monte Carlo simulation output. Dennis D. Boos and Jason A. Osborne (2015) <doi:10.1111/insr.12087>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-01 21:18:26 UTC; boos
Repository: CRAN
Date/Publication: 2019-05-03 10:30:04 UTC

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New package gridGeometry with initial version 0.2-0
Package: gridGeometry
Type: Package
Title: Polygon Geometry in 'grid'
Version: 0.2-0
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>
Description: Functions for performing polygon geometry with 'grid' grobs. This allows complex shapes to be defined by combining simpler shapes.
URL: https://github.com/pmur002/gridgeometry, https://stattech.wordpress.fos.auckland.ac.nz/2019/03/04/2019-01-a-geometry-engine-interface-for-grid/
Depends: R (>= 3.6.0), grid
Imports: grDevices, polyclip (>= 1.10-0)
Suggests: graphics, lattice
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-05-01 07:49:05 UTC; pmur002
Repository: CRAN
Date/Publication: 2019-05-03 10:20:03 UTC

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New package Riex with initial version 1.0.0
Package: Riex
Type: Package
Title: IEX Stocks and Market Data
Version: 1.0.0
Authors@R: person("Myriam", "Ibrahim", email = "ibrahimmyriam7@gmail.com", role = c("aut", "cre"))
Author: Myriam Ibrahim [aut, cre]
Maintainer: Myriam Ibrahim <ibrahimmyriam7@gmail.com>
Description: Retrieves efficiently and reliably Investors Exchange ('IEX') stock and market data using 'IEX Cloud API'. The platform is offered by Investors Exchange Group (IEX Group). Main goal is to leverage 'R' capabilities including existing packages to effectively provide financial and statistical analysis as well as visualization in support of fact-based decisions. In addition, continuously improve and enhance 'Riex' by applying best practices and being in tune with users' feedback and requirements. Please, make sure to review and acknowledge Investors Exchange Group (IEX Group) terms and conditions before using 'Riex' (<https://iexcloud.io/terms/>).
Depends: R (>= 3.5.0), xts, zoo, TTR, tidyr, tibble
License: GPL-2
LazyData: true
Collate: 'IEX_Market_Data.R'
Encoding: UTF-8
RoxygenNote: 6.1.1
Imports: Rcpp (>= 1.0.0), dplyr, ggplot2 (>= 3.1.0), httr (>= 1.4.0), purrr (>= 0.2.5), rjson (>= 0.2.20), stringr (>= 1.3.1), tidyverse (>= 1.2.1), urltools (>= 1.7.1), quantmod (>= 0.4-14)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-01 15:45:16 UTC; Myriam
Repository: CRAN
Date/Publication: 2019-05-03 09:50:03 UTC

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New package PlotContour with initial version 0.1.0
Package: PlotContour
Type: Package
Title: Plot Contour Line
Version: 0.1.0
Author: Olivia Cheronet
Maintainer: Olivia Cheronet <cheronetolivia@gmail.com>
Depends: KernSmooth (>= 2.23-15), MASS (>= 7.3-33)
Description: This function plots a contour line with a user-defined probability and tightness of fit.
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-05-01 15:37:02 UTC; Olivia
Repository: CRAN
Date/Publication: 2019-05-03 09:50:11 UTC

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Package ncodeR updated to version 0.1.3.0 with previous version 0.1.2 dated 2018-08-29

Title: Techniques for Automated Classifiers
Description: A set of techniques that can be used to develop, validate, and implement automated classifiers. A powerful tool for transforming raw data into meaningful information, 'ncodeR' (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is designed specifically for working with big data: large document collections, logfiles, and other text data.
Author: Cody L Marquart [aut, cre], Zachari Swiecki [aut], Brendan Eagan [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>

Diff between ncodeR versions 0.1.2 dated 2018-08-29 and 0.1.3.0 dated 2019-05-03

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Package geoviz updated to version 0.2.1 with previous version 0.2.0 dated 2019-04-05

Title: Elevation and GPS Data Visualisation
Description: Simpler processing of digital elevation model and GPS trace data for use with the 'rayshader' package.
Author: Neil Charles
Maintainer: Neil Charles <neil.d.charles@gmail.com>

Diff between geoviz versions 0.2.0 dated 2019-04-05 and 0.2.1 dated 2019-05-03

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Package bibliometrix updated to version 2.2.0 with previous version 2.1.2 dated 2019-03-14

Title: An R-Tool for Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It provides various routines for importing bibliographic data from SCOPUS (<http://scopus.com>), Clarivate Analytics Web of Science (<http://www.webofknowledge.com/>), Cochrane Library (<http://www.cochranelibrary.com/>) and PubMed (<https://www.ncbi.nlm.nih.gov/pubmed/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut], Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between bibliometrix versions 2.1.2 dated 2019-03-14 and 2.2.0 dated 2019-05-03

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