Tue, 04 Jun 2019

Package proxyC updated to version 0.1.4 with previous version 0.1.3 dated 2019-04-21

Title: Computes Proximity in Large Sparse Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] (<https://orcid.org/0000-0001-6519-5265>), Robrecht Cannoodt [aut] (<https://orcid.org/0000-0003-3641-729X>)
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between proxyC versions 0.1.3 dated 2019-04-21 and 0.1.4 dated 2019-06-04

 DESCRIPTION                      |    6 +--
 MD5                              |   29 ++++++++++--------
 NAMESPACE                        |    4 ++
 NEWS.md                          |    8 ++++-
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 17 files changed, 191 insertions(+), 29 deletions(-)

More information about proxyC at CRAN
Permanent link

Package paleotree updated to version 3.3.0 with previous version 3.1.3 dated 2018-10-02

Title: Paleontological and Phylogenetic Analyses of Evolution
Description: Provides tools for transforming, a posteriori time-scaling, and modifying phylogenies containing extinct (i.e. fossil) lineages. In particular, most users are interested in the functions timePaleoPhy(), bin_timePaleoPhy(), cal3TimePaleoPhy() and bin_cal3TimePaleoPhy(), which date cladograms of fossil taxa using stratigraphic data. This package also contains a large number of likelihood functions for estimating sampling and diversification rates from different types of data available from the fossil record (e.g. range data, occurrence data, etc). paleotree users can also simulate diversification and sampling in the fossil record using the function simFossilRecord(), which is a detailed simulator for branching birth-death-sampling processes composed of discrete taxonomic units arranged in ancestor-descendant relationships. Users can use simFossilRecord() to simulate diversification in incompletely sampled fossil records, under various models of morphological differentiation (i.e. the various patterns by which morphotaxa originate from one another), and with time-dependent, longevity-dependent and/or diversity-dependent rates of diversification, extinction and sampling. Additional functions allow users to translate simulated ancestor-descendant data from simFossilRecord() into standard time-scaled phylogenies or unscaled cladograms that reflect the relationships among taxon units.
Author: David W. Bapst, Peter J. Wagner
Maintainer: David W. Bapst <dwbapst@gmail.com>

Diff between paleotree versions 3.1.3 dated 2018-10-02 and 3.3.0 dated 2019-06-04

 paleotree-3.1.3/paleotree/R/hiddenFunctions.R                      |only
 paleotree-3.1.3/paleotree/tests/minBranchLength_check_10-09-15.R   |only
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 paleotree-3.3.0/paleotree/R/RaiaCopesRule.R                        |   10 
 paleotree-3.3.0/paleotree/R/SamplingConv.R                         |    6 
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More information about paleotree at CRAN
Permanent link

Package mFilter updated to version 0.1-5 with previous version 0.1-4 dated 2018-09-23

Title: Miscellaneous Time Series Filters
Description: The mFilter package implements several time series filters useful for smoothing and extracting trend and cyclical components of a time series. The routines are commonly used in economics and finance, however they should also be interest to other areas. Currently, Christiano-Fitzgerald, Baxter-King, Hodrick-Prescott, Butterworth, and trigonometric regression filters are included in the package.
Author: Mehmet Balcilar <mehmet@mbalcilar.net>
Maintainer: Mehmet Balcilar <mehmet@mbalcilar.net>

Diff between mFilter versions 0.1-4 dated 2018-09-23 and 0.1-5 dated 2019-06-04

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More information about mFilter at CRAN
Permanent link

Package seriation updated to version 1.2-6 with previous version 1.2-5 dated 2019-05-30

Title: Infrastructure for Ordering Objects Using Seriation
Description: Infrastructure for ordering objects with an implementation of several seriation/sequencing/ordination techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT).
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Kurt Hornik [aut, cph], Fionn Murtagh [ctb, cph], Michael Brusco [ctb, cph], Stephanie Stahl [ctb, cph], Hans-Friedrich Koehn [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between seriation versions 1.2-5 dated 2019-05-30 and 1.2-6 dated 2019-06-04

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More information about seriation at CRAN
Permanent link

Package prabclus updated to version 2.3-1 with previous version 2.2-7.1 dated 2019-05-28

Title: Functions for Clustering and Testing of Presence-Absence, Abundance and Multilocus Genetic Data
Description: Distance-based parametric bootstrap tests for clustering with spatial neighborhood information. Some distance measures, Clustering of presence-absence, abundance and multilocus genetical data for species delimitation, nearest neighbor based noise detection. Genetic distances between communities. Tests whether various distance-based regressions are equal. Try package?prabclus for on overview.
Author: Christian Hennig <christian.hennig@unibo.it>, Bernhard Hausdorf <Hausdorf@zoologie.uni-hamburg.de>
Maintainer: Christian Hennig <christian.hennig@unibo.it>

Diff between prabclus versions 2.2-7.1 dated 2019-05-28 and 2.3-1 dated 2019-06-04

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Package lspartition updated to version 0.3 with previous version 0.2 dated 2018-12-03

Title: Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression
Description: Tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2019, <arXiv:1804.04916>): lsprobust() for nonparametric point estimation of regression functions and their derivatives and for robust bias-corrected (pointwise and uniform) inference; lspkselect() for data-driven selection of the IMSE-optimal number of knots; lsprobust.plot() for regression plots with robust confidence intervals and confidence bands; lsplincom() for estimation and inference for linear combinations of regression functions from different groups.
Author: Matias D. Cattaneo, Max H. Farrell, Yingjie Feng
Maintainer: Yingjie Feng <yjfeng@umich.edu>

Diff between lspartition versions 0.2 dated 2018-12-03 and 0.3 dated 2019-06-04

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More information about lspartition at CRAN
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Package hydroscoper updated to version 1.2 with previous version 1.1.1 dated 2018-08-25

Title: Interface to the Greek National Data Bank for Hydrometeorological Information
Description: R interface to the Greek National Data Bank for Hydrological and Meteorological Information <http://www.hydroscope.gr/>. It covers Hydroscope's data sources and provides functions to transliterate, translate and download them into tidy dataframes.
Author: Konstantinos Vantas [aut, cre] (<https://orcid.org/0000-0001-6387-8791>), Sharla Gelfand [ctb, rev] (Sharla Gelfand reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/185), Tim Trice [rev] (Tim Trice reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/185)
Maintainer: Konstantinos Vantas <kon.vantas@gmail.com>

Diff between hydroscoper versions 1.1.1 dated 2018-08-25 and 1.2 dated 2019-06-04

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Package bcrm updated to version 0.5.3 with previous version 0.5.2 dated 2019-05-24

Title: Bayesian Continual Reassessment Method for Phase I Dose-Escalation Trials
Description: Implements a wide variety of one- and two-parameter Bayesian CRM designs. The program can run interactively, allowing the user to enter outcomes after each cohort has been recruited, or via simulation to assess operating characteristics.
Author: Michael Sweeting [aut], Graham Wheeler [aut, cre]
Maintainer: Graham Wheeler <graham.wheeler@ucl.ac.uk>

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Package polyRAD updated to version 1.1 with previous version 1.0 dated 2018-11-19

Title: Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids
Description: Read depth data from genotyping-by-sequencing (GBS) or restriction site-associated DNA sequencing (RAD-seq) are imported and used to make Bayesian probability estimates of genotypes in polyploids or diploids. The genotype probabilities, or genotypes sampled from those probabilties, can then be exported for downstream analysis. 'polyRAD' is described by Clark et al. (2019) <doi:10.1534/g3.118.200913>.
Author: Lindsay V. Clark [aut, cre] (<https://orcid.org/0000-0002-3881-9252>), U.S. National Science Foundation [fnd]
Maintainer: Lindsay V. Clark <lvclark@illinois.edu>

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Package DTAT updated to version 0.3-2 with previous version 0.3-1 dated 2019-02-20

Title: Dose Titration Algorithm Tuning
Description: DTAT is a methodologic framework allowing dose individualization to be conceived as a continuous learning process that begins in early-phase clinical trials and continues throughout drug development, on into clinical practice. This package includes code that researchers may use to reproduce or extend key results of the DTAT research programme, plus tools for trialists to design and simulate a '3+3/PC' dose-finding study. Please see Norris (2017) <doi:10.12688/f1000research.10624.3> and Norris (2017) <doi:10.1101/240846>.
Author: David C. Norris [aut, cre]
Maintainer: David C. Norris <david@precisionmethods.guru>

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Package analogsea updated to version 0.7.0 with previous version 0.6.0 dated 2018-01-04

Title: Interface to 'Digital Ocean'
Description: Provides a set of functions for interacting with the 'Digital Ocean' API at <https://developers.digitalocean.com/documentation/v2>, including creating images, destroying them, rebooting, getting details on regions, and available images.
Author: Scott Chamberlain [aut, cre], Hadley Wickham [aut], Winston Chang [aut], Bob Rudis [ctb], Bryce Mecum [ctb] (<https://orcid.org/0000-0002-0381-3766>), RStudio [cph]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package SCCS updated to version 1.1 with previous version 1.0 dated 2018-05-11

Title: The Self-Controlled Case Series Method
Description: Various self-controlled case series models used to investigate associations between time-varying exposures such as vaccines or other drugs or non drug exposures and an adverse event can be fitted. Detailed information on the self-controlled case series method and its extensions with more examples can be found in Farrington, P., Whitaker, H., and Ghebremichael Weldeselassie, Y. (2018, ISBN: 978-1-4987-8159-6. Self-controlled Case Series studies: A modelling Guide with R. Boca Raton: Chapman & Hall/CRC Press) and <https://sccs-studies.info>.
Author: Yonas Ghebremichael Weldeselassie, Heather Whitaker, Paddy Farrington
Maintainer: "Yonas Ghebremichael-Weldeselassie" <y.weldeselassie@warwick.ac.uk>

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Package ipumsr updated to version 0.4.2 with previous version 0.4.1 dated 2019-05-15

Title: Read 'IPUMS' Extract Files
Description: An easy way to import census, survey and geographic data provided by 'IPUMS' into R plus tools to help use the associated metadata to make analysis easier. 'IPUMS' data describing 1.4 billion individuals drawn from over 750 censuses and surveys is available free of charge from our website <https://ipums.org>.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Joe Grover [ctb], Minnesota Population Center [cph]
Maintainer: Derek Burk <ipums+cran@umn.edu>

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New package utile.tables with initial version 0.1.4
Package: utile.tables
Title: Tools for Building Tables for Publication
Version: 0.1.4
Authors@R: c(person('Eric', 'Finnesgard', email = 'finnesgard.eric@mayo.edu', role = c('aut', 'cre')))
Description: A collection of functions to make building customized ready-to-export tables for publication purposes easier or expedite summarization of a large dataset for review. Includes methods for automatically building a table from data or building the table row-by-row. Key functions include build_row() & build_table() for summarizing columns of data overall or by stratum with appropriate testing and build_event_row() & build_event_table() for creating tables that summarize time-to-event model (Cox PH) parameters, supporting both univariate and multivariate methods.
License: LGPL (>= 2)
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.4.0)
Imports: tibble, utile.tools(>= 0.1.2), dplyr, tidyr, rlang, survival, purrr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-04 14:35:47 UTC; m130239
Author: Eric Finnesgard [aut, cre]
Maintainer: Eric Finnesgard <finnesgard.eric@mayo.edu>
Repository: CRAN
Date/Publication: 2019-06-04 15:30:03 UTC

More information about utile.tables at CRAN
Permanent link

Package adoptr updated to version 0.2.0 with previous version 0.1.1 dated 2019-04-01

Title: Adaptive Optimal Two-Stage Designs in R
Description: Optimize one or two-arm, two-stage designs for clinical trials with respect to several pre-implemented objective criteria or implement custom objectives. Optimization under uncertainty and conditional (given stage-one outcome) constraints are supported.
Author: Kevin Kunzmann [aut, cre], Maximilian Pilz [aut]
Maintainer: Kevin Kunzmann <kevin.kunzmann@mrc-bsu.cam.ac.uk>

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Package sdcTable updated to version 0.28 with previous version 0.27 dated 2019-02-28

Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression as described for example in Hundepol et al. (2012) <doi:10.1002/9781118348239> are covered in this package.
Author: Bernhard Meindl
Maintainer: Bernhard Meindl <bernhard.meindl@gmail.com>

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Package SCCI updated to version 1.2 with previous version 1.1 dated 2019-05-24

Title: Stochastic Complexity-Based Conditional Independence Test for Discrete Data
Description: An efficient implementation of SCCI using 'Rcpp'. SCCI is short for the Stochastic Complexity-based Conditional Independence criterium (Marx and Vreeken, 2019). SCCI is an asymptotically unbiased and L2 consistent estimator of (conditional) mutual information for discrete data.
Author: Alexander Marx [aut,cre] Jilles Vreeken [aut]
Maintainer: Alexander Marx <amarx@mpi-inf.mpg.de>

Diff between SCCI versions 1.1 dated 2019-05-24 and 1.2 dated 2019-06-04

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New package rerddapXtracto with initial version 0.3.5
Package: rerddapXtracto
Type: Package
Title: Extracts Environmental Data from 'ERDDAP' Web Services
Version: 0.3.5
Authors@R: person("Roy", "Mendelssohn", email = "roy.mendelssohn@noaa.gov", role = c("aut","cre"))
Description: Contains three functions that access environmental data from any 'ERDDAP' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
URL: https://github.com/rmendels/rerddapXtracto
BugReports: https://github.com/rmendels/rerddapXtracto/issues
Depends: R(>= 3.5.0)
License: CC0
Imports: abind, dplyr, ggplot2, httr, methods, ncdf4, parsedate, plotdap, readr, rerddap (>= 0.6.0), sp, stats,
Suggests: gganimate, knitr, mapdata, rmarkdown
RoxygenNote: 6.1.1
Encoding: UTF-8
LazyData: TRUE
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-06-03 21:05:32 UTC; rmendels
Author: Roy Mendelssohn [aut, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>
Repository: CRAN
Date/Publication: 2019-06-04 14:30:03 UTC

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Package PINSPlus updated to version 2.0.0 with previous version 1.0.3 dated 2019-01-07

Title: Clustering Algorithm for Data Integration and Disease Subtyping
Description: Provides a robust approach for omics data integration and disease subtyping. 'PINSPlus' supports both single and multiple data types. The software automatically determines the optimal number of clusters and then partitions the samples in a way such that the results are robust to noise and data perturbation. 'PINSPlus' is fast and it supports parallel computing on Windows, Linux, and Mac OS.
Author: Hung Nguyen, Sangam Shrestha and Tin Nguyen
Maintainer: Hung Nguyen <hungnp@nevada.unr.edu>

Diff between PINSPlus versions 1.0.3 dated 2019-01-07 and 2.0.0 dated 2019-06-04

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Package MetaboList updated to version 1.4 with previous version 1.3 dated 2019-03-19

Title: Annotation of Metabolites from Liquid Chromatography-Mass Spectrometry Data
Description: Automatic metabolite annotation from Liquid Chromatography-Mass Spectrometry (LC-MS and LC-MS/MS DIA) analysis.
Author: Manuel David Peris Diaz
Maintainer: Manuel David Peris Diaz <manuel.perisdiaz@uwr.edu.pl>

Diff between MetaboList versions 1.3 dated 2019-03-19 and 1.4 dated 2019-06-04

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New package jenkins with initial version 1.0
Package: jenkins
Type: Package
Title: Simple Jenkins Client
Version: 1.0
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Description: Manage jobs and builds on your Jenkins CI server <https://jenkins.io/>. Create and edit projects, schedule builds, manage the queue, download build logs, and much more.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/jenkins/ (website), https://github.com/ropensci/jenkins
BugReports: https://github.com/ropensci/jenkins/issues
Encoding: UTF-8
Imports: curl, jsonlite
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-04 12:09:33 UTC; jeroen
Repository: CRAN
Date/Publication: 2019-06-04 15:00:03 UTC

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New package jackalope with initial version 0.1.0
Package: jackalope
Type: Package
Title: A Swift, Versatile Phylogenomic and High-Throughput Sequencing Simulator
Version: 0.1.0
Authors@R: person(c("Lucas", "A."), "Nell", email = "lucas@lucasnell.com", role = c("cph", "aut", "cre"), comment = c(ORCID = "0000-0003-3209-0517"))
Description: Simply and efficiently simulates (i) variants from reference genomes and (ii) reads from both Illumina <https://www.illumina.com/> and Pacific Biosciences (PacBio) <https://www.pacb.com/> platforms. It can either read reference genomes from FASTA files or simulate new ones. Genomic variants can be simulated using summary statistics, phylogenies, Variant Call Format (VCF) files, and coalescent simulations—the latter of which can include selection, recombination, and demographic fluctuations. 'jackalope' can simulate single, paired-end, or mate-pair Illumina reads, as well as PacBio reads. These simulations include sequencing errors, mapping qualities, multiplexing, and optical/polymerase chain reaction (PCR) duplicates. Simulating Illumina sequencing is based on ART by Huang et al. (2012) <doi:10.1093/bioinformatics/btr708>. PacBio sequencing simulation is based on SimLoRD by Stöcker et al. (2016) <doi:10.1093/bioinformatics/btw286>. All outputs can be written to standard file formats.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
biocViews:
Imports: ape, R6, Rcpp (>= 0.12.11), RcppProgress (>= 0.1), zlibbioc
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, Rhtslib, zlibbioc
SystemRequirements: C++11
RoxygenNote: 6.1.1
Suggests: coala, knitr, scrm, testthat, vcfR
VignetteBuilder: knitr
URL: https://github.com/lucasnell/jackalope
BugReports: https://github.com/lucasnell/jackalope/issues
NeedsCompilation: yes
Packaged: 2019-06-04 09:23:11 UTC; lucasnell
Author: Lucas A. Nell [cph, aut, cre] (<https://orcid.org/0000-0003-3209-0517>)
Maintainer: Lucas A. Nell <lucas@lucasnell.com>
Repository: CRAN
Date/Publication: 2019-06-04 14:50:04 UTC

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New package clrdag with initial version 0.6.0
Package: clrdag
Type: Package
Title: Constrained Likelihood Ratio Tests for a Directed Acyclic Graph
Version: 0.6.0
Date: 2019-05-23
Author: Chunlin Li, Xiaotong Shen, Wei Pan
Maintainer: Chunlin Li <li000007@umn.edu>
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.1)
LinkingTo: Rcpp, RcppArmadillo
Description: Provides MLEdag() for constrained maximum likelihood estimation and likelihood ratio test of a large directed acyclic graph. The algorithms are described in the paper by Li, Shen, and Pan (2019) <doi:10.1080/01621459.2019.1623042>.
License: GPL (>= 2)
URL: https://github.com/chunlinli/clrdag
BugReports: https://github.com/chunlinli/clrdag/issues
NeedsCompilation: yes
Packaged: 2019-06-04 09:04:20 UTC; li000007
Repository: CRAN
Date/Publication: 2019-06-04 14:40:03 UTC

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Package sjstats updated to version 0.17.5 with previous version 0.17.4 dated 2019-03-15

Title: Collection of Convenient Functions for Common Statistical Computations
Description: Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' and other model objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models, mixed effects models and Bayesian models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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New package QTOCen with initial version 0.1.1
Package: QTOCen
Type: Package
Title: Quantile-Optimal Treatment Regimes with Censored Data
Version: 0.1.1
Authors@R: c(person("Yu", "Zhou", , "zhou0269@umn.edu", role = c("cre", "aut")), person("Lan", "Wang", , "wangx346@umn.edu ", role = "ctb"))
Author: Yu Zhou [cre, aut], Lan Wang [ctb]
Maintainer: Yu Zhou <zhou0269@umn.edu>
Description: Provides methods for estimation of mean- and quantile-optimal treatment regimes from censored data. Specifically, we have developed distinct functions for three types of right censoring for static treatment using quantile criterion: (1) independent/random censoring, (2) treatment-dependent random censoring, and (3) covariates-dependent random censoring. It also includes a function to estimate quantile-optimal dynamic treatment regimes for independent censored data. Finally, this package also includes a simulation data generative model of a dynamic treatment experiment proposed in literature.
License: GPL (>= 2)
LazyData: TRUE
Imports: survival, rgenoud (>= 5.8), quantreg (>= 5.18), stats, grDevices, methods, Rdpack, MatrixModels
RdMacros: Rdpack
Depends: R (>= 3.3), utils
RoxygenNote: 6.1.1
Suggests: parallel, stringr, testthat, faraway, quantoptr (>= 0.1.3), survminer
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2019-06-03 15:56:38 UTC; yuzhou
Repository: CRAN
Date/Publication: 2019-06-04 12:10:10 UTC

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New package purrrogress with initial version 0.1.0
Package: purrrogress
Title: Add Progress Bars to Mapping Functions
Version: 0.1.0
Authors@R: person(given = "Andrew", family = "Redd", role = c("aut", "cre"), email = "andrew.redd@hsc.utah.edu", comment = c(ORCID = "0000-0002-6149-2438"))
Description: Provides functions to easily add progress bars to apply calls.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: R6, assertthat, glue, hms, methods, pkgcond, purrr, testextra, utils, rlang
RoxygenNote: 6.1.1
Language: en-US
Suggests: covr, datasets, stringi, testthat, tibble
Enhances: dplyr
URL: https://github.com/halpo/purrrogress
BugReports: https://github.com/halpo/purrrogress/issues
NeedsCompilation: no
Packaged: 2019-06-03 19:29:25 UTC; u0092104
Author: Andrew Redd [aut, cre] (<https://orcid.org/0000-0002-6149-2438>)
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2019-06-04 12:30:03 UTC

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Package nowcasting updated to version 1.1.2 with previous version 1.1.1 dated 2019-05-02

Title: Predicting Economic Variables using Dynamic Factor Models
Description: It contains the tools to implement dynamic factor models to forecast economic variables. The user will be able to construct pseudo real time vintages, use information criteria for determining the number of factors and shocks, estimate the model, and visualize results among other things.
Author: Daiane Marcolino de Mattos [aut, cre], Pedro Costa Ferreira [aut], Serge de Valk [aut], Guilherme Branco Gomes [aut]
Maintainer: Daiane Marcolino de Mattos <daiane.mattos@fgv.br>

Diff between nowcasting versions 1.1.1 dated 2019-05-02 and 1.1.2 dated 2019-06-04

 DESCRIPTION         |    8 +-
 MD5                 |   24 +++----
 R/Bpanel.R          |    4 -
 R/ICfactors.R       |    8 +-
 R/ICshocks.R        |   31 ++++++---
 R/method_2s.R       |   63 ++++++++-----------
 R/nowcast.R         |  171 +++++++++++++++++++++++++++++-----------------------
 R/nowcast.plot.R    |   65 +++----------------
 man/Bpanel.Rd       |    6 -
 man/ICfactors.Rd    |    2 
 man/ICshocks.Rd     |   11 +--
 man/nowcast.Rd      |   53 +++++++---------
 man/nowcast.plot.Rd |   30 +++------
 13 files changed, 223 insertions(+), 253 deletions(-)

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New package cluscov with initial version 1.1.0
Package: cluscov
Type: Package
Title: Clustered Covariate Regression
Version: 1.1.0
Date: 2019-05-31
Author: Emmanuel S Tsyawo [aut, cre], Abdul-Nasah Soale [aut]
Maintainer: Emmanuel S Tsyawo <estsyawo@temple.edu>
Description: Clustered covariate regression enables estimation and inference in both linear and non-linear models with linear predictor functions even when the design matrix is column rank deficient. Routines in this package implement algorithms in Soale and Tsyawo (2019) <doi:10.13140/RG.2.2.32355.81441>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: quantreg, MASS, stats, utils
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-06-03 19:16:51 UTC; Selorm
Repository: CRAN
Date/Publication: 2019-06-04 12:30:07 UTC

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Package adespatial updated to version 0.3-7 with previous version 0.3-4 dated 2019-02-27

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Author: Stéphane Dray, David Bauman, Guillaume Blanchet, Daniel Borcard, Sylvie Clappe, Guillaume Guenard, Thibaut Jombart, Guillaume Larocque, Pierre Legendre, Naima Madi, Helene H Wagner
Maintainer: Stéphane Dray <stephane.dray@univ-lyon1.fr>

Diff between adespatial versions 0.3-4 dated 2019-02-27 and 0.3-7 dated 2019-06-04

 adespatial-0.3-4/adespatial/src/forward.h               |only
 adespatial-0.3-7/adespatial/DESCRIPTION                 |   13 
 adespatial-0.3-7/adespatial/MD5                         |  117 +-
 adespatial-0.3-7/adespatial/R/Cperiodogram.R            |    2 
 adespatial-0.3-7/adespatial/R/WRperiodogram.R           |    2 
 adespatial-0.3-7/adespatial/R/aem.build.binary.R        |    2 
 adespatial-0.3-7/adespatial/R/aem.weight.edges.R        |    3 
 adespatial-0.3-7/adespatial/R/beta.div.R                |   23 
 adespatial-0.3-7/adespatial/R/beta.div.comp.R           |   12 
 adespatial-0.3-7/adespatial/R/dist.ldc.R                |  234 ++---
 adespatial-0.3-7/adespatial/R/listw.select.R            |    2 
 adespatial-0.3-7/adespatial/R/mem.select.R              |    4 
 adespatial-0.3-7/adespatial/R/mfpa.R                    |   42 -
 adespatial-0.3-7/adespatial/R/moran.bounds.R            |    2 
 adespatial-0.3-7/adespatial/R/moran.randtest.R          |    2 
 adespatial-0.3-7/adespatial/R/moranNP.randtest.R        |    4 
 adespatial-0.3-7/adespatial/R/mspa.R                    |    4 
 adespatial-0.3-7/adespatial/R/msr.4thcorner.R           |   26 
 adespatial-0.3-7/adespatial/R/msr.R                     |    2 
 adespatial-0.3-7/adespatial/R/msr.mantelrtest.R         |   39 
 adespatial-0.3-7/adespatial/R/msr.varipart.R            |   26 
 adespatial-0.3-7/adespatial/R/multispati.R              |    5 
 adespatial-0.3-7/adespatial/R/plot.orthobasisSp.R       |    6 
 adespatial-0.3-7/adespatial/R/scalogram.R               |    6 
 adespatial-0.3-7/adespatial/R/stimodels.R               |    2 
 adespatial-0.3-7/adespatial/build/vignette.rds          |binary
 adespatial-0.3-7/adespatial/inst/doc/tutorial.R         |   48 +
 adespatial-0.3-7/adespatial/inst/doc/tutorial.Rmd       |  153 +++
 adespatial-0.3-7/adespatial/inst/doc/tutorial.html      |  647 ++++++++++++----
 adespatial-0.3-7/adespatial/man/Cperiodogram.Rd         |    2 
 adespatial-0.3-7/adespatial/man/WRperiodogram.Rd        |    2 
 adespatial-0.3-7/adespatial/man/aem.build.binary.Rd     |    2 
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 adespatial-0.3-7/adespatial/man/beta.div.comp.Rd        |   12 
 adespatial-0.3-7/adespatial/man/dist.ldc.Rd             |  198 ++--
 adespatial-0.3-7/adespatial/man/listw.select.Rd         |    2 
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 adespatial-0.3-7/adespatial/man/moran.bounds.Rd         |    2 
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 adespatial-0.3-7/adespatial/man/msr.4thcorner.Rd        |   14 
 adespatial-0.3-7/adespatial/man/msr.Rd                  |    2 
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 adespatial-0.3-7/adespatial/man/msr.varipart.Rd         |   12 
 adespatial-0.3-7/adespatial/man/multispati.Rd           |    4 
 adespatial-0.3-7/adespatial/man/plot.orthobasisSp.Rd    |    6 
 adespatial-0.3-7/adespatial/man/scalogram.Rd            |    6 
 adespatial-0.3-7/adespatial/man/stimodels.Rd            |    2 
 adespatial-0.3-7/adespatial/src/adesub.c                |only
 adespatial-0.3-7/adespatial/src/adesub.h                |only
 adespatial-0.3-7/adespatial/src/betadiv.c               |    3 
 adespatial-0.3-7/adespatial/src/buildbinary.c           |   49 -
 adespatial-0.3-7/adespatial/src/forward.c               |  167 ----
 adespatial-0.3-7/adespatial/src/init.c                  |    2 
 adespatial-0.3-7/adespatial/src/stipermute.c            |    9 
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 adespatial-0.3-7/adespatial/vignettes/adespatial.bib    |   11 
 adespatial-0.3-7/adespatial/vignettes/listw_explore.png |binary
 adespatial-0.3-7/adespatial/vignettes/tutorial.Rmd      |  153 +++
 61 files changed, 1327 insertions(+), 938 deletions(-)

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New package ace2fastq with initial version 0.5.1
Package: ace2fastq
Type: Package
Title: ACE File to FASTQ Converter
Version: 0.5.1
Authors@R: person("Reinhard", "Simon", email = "rsimon64@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4608-9077") )
Description: The ACE file format is currently used in genomics to store contigs from ABI sequencing machines. To the best of our knowledge, no R function is available to convert this format into the more popular fastq file format. The development was motivated in the context of the analysis of 16S metagenomic data by the need to convert the ACE files received from a sequencing service for further analysis.
Imports: stringr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/c5sire/ace2fastq
BugReports: https://github.com/c5sire/ace2fastq/issues
NeedsCompilation: no
Packaged: 2019-06-03 15:51:10 UTC; Reinhard
Author: Reinhard Simon [aut, cre] (<https://orcid.org/0000-0002-4608-9077>)
Maintainer: Reinhard Simon <rsimon64@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-04 12:10:06 UTC

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New package zen4R with initial version 0.1
Package: zen4R
Version: 0.1
Date: 2019-06-03
Title: Interface to 'Zenodo' REST API
Authors@R: c(person("Emmanuel", "Blondel", role = c("aut", "cre"), email = "emmanuel.blondel1@gmail.com", comment = c(ORCID = "0000-0002-5870-5762")))
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>
Depends: R (>= 3.3.0), methods
Imports: R6, httr, jsonlite
Suggests: testthat
Description: Provides an Interface to 'Zenodo' (<https://zenodo.org>) REST API, including management of depositions, attribution of DOIs by 'Zenodo' and upload of files.
License: MIT + file LICENSE
URL: https://github.com/eblondel/zen4R
BugReports: https://github.com/eblondel/zen4R/issues
LazyLoad: yes
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-03 13:10:31 UTC; manub
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>)
Repository: CRAN
Date/Publication: 2019-06-04 11:50:03 UTC

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New package sbscrapeR with initial version 1.0.0
Package: sbscrapeR
Title: Social Blade Scraper
Version: 1.0.0
Authors@R: person("Benjamin", "Smith", email = "benyamindsmith@gmail.com", role = c("aut", "cre"))
Description: A set of web-scraping functions for easily getting the monthly statistics of content producers on on-line platforms tracked by <https://socialblade.com>.
Depends: R (>= 3.5.0)
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: rvest, xml2, lubridate, magrittr
NeedsCompilation: no
Packaged: 2019-05-31 22:19:41 UTC; elisheva
Author: Benjamin Smith [aut, cre]
Maintainer: Benjamin Smith <benyamindsmith@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-04 11:30:02 UTC

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New package NeuralSens with initial version 0.0.2
Package: NeuralSens
Version: 0.0.2
Title: Sensitivity Analysis of Neural Networks
Date: 2019-05-11
Description: Analysis functions to quantify inputs importance in neural network models. Functions are available for calculating and plotting the inputs importance and obtaining the activation function of each neuron layer and its derivatives. The importance of a given input is defined as the distribution of the derivatives of the output with respect to that input in each training data point.
Author: José Portela González [aut], Jaime Pizarroso Gonzalo [ctb, cre]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@alu.comillas.edu>
Imports: ggplot2, gridExtra, NeuralNetTools, reshape2, caret, fastDummies, stringr
Suggests: h2o, neural, RSNNS, nnet, neuralnet
RoxygenNote: 6.1.1
NeedsCompilation: no
URL: https://github.com/JaiPizGon/NeuralSens
BugReports: https://github.com/JaiPizGon/NeuralSens/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Authors@R: c( person(given = "José", family = "Portela González", email = "Jose.Portela@iit.comillas.edu", role = "aut"), person(given = "Jaime", family = "Pizarroso Gonzalo", email = "jpizarroso@alu.comillas.edu", role = c("ctb", "cre")) )
Packaged: 2019-06-03 14:29:53 UTC; jaime
Repository: CRAN
Date/Publication: 2019-06-04 12:00:03 UTC

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New package manhplot with initial version 1.0
Package: manhplot
Type: Package
Title: The Manhattan++ Plot
Depends: R (>= 3.4.0)
Version: 1.0
Date: 2019-05-14
Author: Chris Grace <cgrace@well.ox.ac.uk>
Maintainer: Chris Grace <cgrace@well.ox.ac.uk>
Description: This plot integrates annotation into a manhattan plot. The plot is implemented as a heatmap, which is binned using -log10(p-value) and chromosome position. Annotation currently supported is minor allele frequency and gene function high impact variants.
License: GPL (>= 2)
RoxygenNote: 6.1.1
Imports: reshape2, ggplot2, ggrepel, gridExtra
Suggests: R.utils, testthat
URL: https://github.com/cgrace1978/manhplot/
BugReports: https://github.com/cgrace1978/manhplot/issues
NeedsCompilation: no
Packaged: 2019-06-03 10:11:42 UTC; cgrace
Repository: CRAN
Date/Publication: 2019-06-04 11:40:03 UTC

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New package iCARH with initial version 1.0.0
Package: iCARH
Version: 1.0.0
Date: 2019-05-21
Title: Integrative Conditional Autoregressive Horseshoe Model
Authors@R: c(person("Takoua", "Jendoubi", role = c("aut", "cre"), email = "t.jendoubi14@imperial.ac.uk"), person("Timothy M.D.", "Ebbels", role = c("aut"), email = "t.ebbels@imperial.ac.uk") )
Description: Implements the integrative conditional autoregressive horseshoe model discussed in Jendoubi, T., & Ebbels, T. (2018). "Integrative analysis of time course metabolic data and biomarker discovery". arXiv preprint <arXiv:1801.07767>. The model consists in three levels: Metabolic pathways level modeling interdependencies between variables via a conditional auto-regressive (CAR) component , integrative analysis level to identify potential associations between heterogeneous omic variables via a Horseshoe prior and experimental design level to capture experimental design conditions through a mixed-effects model. The package also provides functions to simulate data from the model, construct pathway matrices, post process and plot model parameters.
Depends: rstan, MASS, stats, ggplot2
Imports: RCurl, KEGGgraph, igraph, reshape2, mc2d, abind, Matrix
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 3)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-06-03 10:34:44 UTC; takoua
Author: Takoua Jendoubi [aut, cre], Timothy M.D. Ebbels [aut]
Maintainer: Takoua Jendoubi <t.jendoubi14@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2019-06-04 11:50:07 UTC

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New package cascsim with initial version 0.3
Package: cascsim
Title: Casualty Actuarial Society Individual Claim Simulator
Version: 0.3
Authors@R: c( person("Robert", "Bear", email = "rbear@reserveprism.com", role = "aut"), person("Kailan", "Shang", email = "klshang81@gmail.com", role = c("aut","cre")), person("Hai", "You", email = "hyou@reserveprism.com", role = "aut"), person("Brian", "Fannin", email = "bfannin@casact.org", role = "ctb"))
Description: It is an open source insurance claim simulation engine sponsored by the Casualty Actuarial Society. It generates individual insurance claims including open claims, reopened claims, incurred but not reported claims and future claims. It also includes claim data fitting functions to help set simulation assumptions. It is useful for claim level reserving analysis. Parodi (2013) <https://www.actuaries.org.uk/documents/triangle-free-reserving-non-traditional-framework-estimating-reserves-and-reserve-uncertainty>.
Depends: R (>= 3.4.0)
Imports: parallel, R2HTML, fitdistrplus, moments, copula, scatterplot3d, methods
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-06-03 04:35:02 UTC; Kailan
Author: Robert Bear [aut], Kailan Shang [aut, cre], Hai You [aut], Brian Fannin [ctb]
Maintainer: Kailan Shang <klshang81@gmail.com>
Repository: CRAN
Date/Publication: 2019-06-04 11:40:06 UTC

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Package RJSONIO updated to version 1.3-1.2 with previous version 1.3-1.1 dated 2018-11-14

Title: Serialize R Objects to JSON, JavaScript Object Notation
Description: This is a package that allows conversion to and from data in Javascript object notation (JSON) format. This allows R objects to be inserted into Javascript/ECMAScript/ActionScript code and allows R programmers to read and convert JSON content to R objects. This is an alternative to rjson package. Originally, that was too slow for converting large R objects to JSON and was not extensible. rjson's performance is now similar to this package, and perhaps slightly faster in some cases. This package uses methods and is readily extensible by defining methods for different classes, vectorized operations, and C code and callbacks to R functions for deserializing JSON objects to R. The two packages intentionally share the same basic interface. This package (RJSONIO) has many additional options to allow customizing the generation and processing of JSON content. This package uses libjson rather than implementing yet another JSON parser. The aim is to support other general projects by building on their work, providing feedback and benefit from their ongoing development.
Author: Duncan Temple Lang [aut, cre] (<https://orcid.org/0000-0003-0159-1546>), Jonathan Wallace [aut] (aka ninja9578, author of included libjson sources)
Maintainer: ORPHANED

Diff between RJSONIO versions 1.3-1.1 dated 2018-11-14 and 1.3-1.2 dated 2019-06-04

 RJSONIO-1.3-1.1/RJSONIO/configure.in |only
 RJSONIO-1.3-1.2/RJSONIO/DESCRIPTION  |    6 +++---
 RJSONIO-1.3-1.2/RJSONIO/MD5          |    8 ++++----
 RJSONIO-1.3-1.2/RJSONIO/R/json.R     |    2 +-
 RJSONIO-1.3-1.2/RJSONIO/configure.ac |only
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 6 files changed, 10 insertions(+), 10 deletions(-)

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Package geiger updated to version 2.0.6.2 with previous version 2.0.6.1 dated 2019-01-16

Title: Analysis of Evolutionary Diversification
Description: Methods for fitting macroevolutionary models to phylogenetic trees.
Author: Luke Harmon <lukeh@uidaho.edu>, Jason Weir, Chad Brock, Rich Glor, Wendell Challenger, Gene Hunt, Rich FitzJohn, Matt Pennell, Graham Slater, Joseph Brown, Josef Uyeda, and Jon Eastman <jonathan.eastman@gmail.com>
Maintainer: ORPHANED

Diff between geiger versions 2.0.6.1 dated 2019-01-16 and 2.0.6.2 dated 2019-06-04

 DESCRIPTION         |    6 +++---
 MD5                 |   16 ++++++++--------
 R/TESTING.R         |    2 +-
 R/gbresolve.R       |    4 ++--
 R/likelihood.R      |    2 +-
 R/proposals.R       |    2 +-
 R/traits.R          |    2 +-
 R/utilities-phylo.R |    2 +-
 src/init.c          |   20 ++++++++++----------
 9 files changed, 28 insertions(+), 28 deletions(-)

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Package strex updated to version 1.0.3 with previous version 1.0.2 dated 2019-05-28

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged: it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre] (<https://orcid.org/0000-0002-5239-4043>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between strex versions 1.0.2 dated 2019-05-28 and 1.0.3 dated 2019-06-04

 DESCRIPTION                                |    6 -
 MD5                                        |  120 ++++++++++++++---------------
 NEWS.md                                    |    6 +
 R/after.R                                  |    5 -
 R/all-equal.R                              |   41 +++++++--
 R/alphord.R                                |    4 
 R/arg-match.R                              |   21 +++--
 R/before.R                                 |    9 +-
 R/camel-case.R                             |    5 -
 R/can-be-num.R                             |    1 
 R/currency.R                               |   12 +-
 R/elem.R                                   |   13 +--
 R/extract-non-nums.R                       |   14 ++-
 R/extract-nums.R                           |   25 ++++--
 R/give-ext.R                               |    5 -
 R/locate.R                                 |    3 
 R/num-after.R                              |    4 
 R/num-before.R                             |    4 
 R/remove.R                                 |    5 -
 R/singleize.R                              |    5 -
 R/split-by-nums.R                          |    6 -
 R/to-vec.R                                 |    5 -
 R/trim.R                                   |    5 -
 R/utils.R                                  |   27 +++---
 build/partial.rdb                          |binary
 inst/doc/alphordering-numbers.html         |    4 
 inst/doc/argument-matching.html            |    4 
 inst/doc/before-and-after.html             |    4 
 inst/doc/important-miscellany.html         |    4 
 inst/doc/numbers-in-strings.html           |    4 
 man/before-and-after.Rd                    |    1 
 man/str_before_last_dot.Rd                 |    1 
 man/str_can_be_numeric.Rd                  |    1 
 man/str_elem.Rd                            |    1 
 man/str_elems.Rd                           |    1 
 man/str_extract_non_numerics.Rd            |    1 
 man/str_extract_numbers.Rd                 |    1 
 man/str_give_ext.Rd                        |    1 
 man/str_match_arg.Rd                       |    1 
 man/str_nth_non_numeric.Rd                 |    1 
 man/str_nth_number.Rd                      |    1 
 man/str_nth_number_after_mth.Rd            |    1 
 man/str_nth_number_before_mth.Rd           |    1 
 man/str_paste_elems.Rd                     |    1 
 man/str_remove_quoted.Rd                   |    1 
 man/str_singleize.Rd                       |    1 
 man/str_split_by_numbers.Rd                |    1 
 man/str_split_camel_case.Rd                |    1 
 man/str_to_vec.Rd                          |    1 
 man/str_trim_anything.Rd                   |    1 
 tests/testthat/test-RcppExports.R          |   41 ++++++---
 tests/testthat/test-after.R                |   11 +-
 tests/testthat/test-arg-match.R            |   34 ++++----
 tests/testthat/test-before.R               |   12 +-
 tests/testthat/test-currency.R             |   64 +++++++++------
 tests/testthat/test-elem.R                 |   25 +++---
 tests/testthat/test-extract-non-numerics.R |   95 ++++++++++++++--------
 tests/testthat/test-extract-nums.R         |   16 ++-
 tests/testthat/test-locate.R               |   95 ++++++++++++++--------
 tests/testthat/test-num-after.R            |   20 +++-
 tests/testthat/test-split-by-nums.R        |    3 
 61 files changed, 480 insertions(+), 327 deletions(-)

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Package performance updated to version 0.2.0 with previous version 0.1.0 dated 2019-04-24

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between performance versions 0.1.0 dated 2019-04-24 and 0.2.0 dated 2019-06-04

 performance-0.1.0/performance/R/error_rate.R                                   |only
 performance-0.1.0/performance/R/hosmer_lemeshow.R                              |only
 performance-0.1.0/performance/R/mse.R                                          |only
 performance-0.1.0/performance/R/r2_coxnell.R                                   |only
 performance-0.1.0/performance/R/rmse.R                                         |only
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Package AzureRMR updated to version 2.1.2 with previous version 2.1.1 dated 2019-05-12

Title: Interface to 'Azure Resource Manager'
Description: A lightweight but powerful R interface to the 'Azure Resource Manager' REST API. The package exposes classes and methods for 'OAuth' authentication and working with subscriptions and resource groups. It also provides functionality for creating and deleting 'Azure' resources and deploying templates. While 'AzureRMR' can be used to manage any 'Azure' service, it can also be extended by other packages to provide extra functionality for specific services. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

Diff between AzureRMR versions 2.1.1 dated 2019-05-12 and 2.1.2 dated 2019-06-04

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Package vtable updated to version 0.5.0 with previous version 0.4.1 dated 2019-05-30

Title: Variable Table
Description: Automatically generates HTML variable documentation including variable names, labels, classes, value labels (if applicable), value ranges, and summary statistics. See the vignette "vtable" for a package overview.
Author: Nick Huntington-Klein [aut, cre]
Maintainer: Nick Huntington-Klein <nhuntington-klein@fullerton.edu>

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Package ryandexdirect updated to version 3.1.6 with previous version 3.1.5 dated 2019-04-30

Title: Load Data From 'Yandex Direct'
Description: Load data from 'Yandex Direct' API V5 <https://tech.yandex.ru/direct/doc/dg/concepts/about-docpage/> into R. Provide function for load lists of campaings, ads, keywords and other objects from 'Yandex Direct' account. Also you can load statistic from API 'Reports Service' <https://tech.yandex.ru/direct/doc/reports/reports-docpage/>.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package HMMmlselect updated to version 0.1.3 with previous version 0.1.1 dated 2019-05-30

Title: Determine the Number of States in Hidden Markov Models via Marginal Likelihood
Description: Provide functions to make estimate the number of states for a hidden Markov model (HMM) using marginal likelihood method proposed by the authors. See the Manual.pdf file a detail description of all functions, and a detail tutorial.
Author: Yang Chen, Cheng-Der Fuh, Chu-Lan Kao, and S. C. Kou.
Maintainer: Chu-Lan Michael Kao <chulankao@gmail.com>

Diff between HMMmlselect versions 0.1.1 dated 2019-05-30 and 0.1.3 dated 2019-06-04

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Package serial updated to version 2.1.4 with previous version 2.1.3 dated 2019-01-02

Title: The Serial Interface Package
Description: Enables reading and writing binary and ASCII data to RS232/RS422/RS485 or any other virtual serial interfaces of the computer.
Author: Martin Seilmayer
Maintainer: Martin Seilmayer <m.seilmayer@hzdr.de>

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Package memapp updated to version 2.13 with previous version 2.12 dated 2019-01-29

Title: The Moving Epidemic Method Web Application
Description: The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the weekly assessment of the epidemic and intensity status to help in routine respiratory infections surveillance in health systems. Allows the comparison of different epidemic indicators, timing and shape with past epidemics and across different regions or countries with different surveillance systems. Also, it gives a measure of the performance of the method in terms of sensitivity and specificity of the alert week. 'memapp' is a web application created in the Shiny framework for the 'mem' R package.
Author: Jose E. Lozano [aut, cre]
Maintainer: Jose E. Lozano <lozalojo@gmail.com>

Diff between memapp versions 2.12 dated 2019-01-29 and 2.13 dated 2019-06-04

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Package lessR updated to version 3.8.6 with previous version 3.8.5 dated 2019-05-16

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation and rendering of R markdown instructions for interpretative output.
Author: David W. Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 3.8.5 dated 2019-05-16 and 3.8.6 dated 2019-06-04

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