Sun, 10 Jun 2018

Package rvg updated to version 0.1.9 with previous version 0.1.8 dated 2018-02-13

Title: R Graphics Devices for Vector Graphics Output
Description: Vector Graphics devices for 'SVG', 'DrawingML' for Microsoft PowerPoint and Excel. Functions extending package 'officer' are provided to embed 'DrawingML' graphics into 'Microsoft PowerPoint' presentations and 'Microsoft Excel' workbooks.
Author: David Gohel [aut, cre], Bob Rudis [ctb] (the javascript code used by function set_attr), Francois Brunetti [ctb] (clipping algorithms)
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between rvg versions 0.1.8 dated 2018-02-13 and 0.1.9 dated 2018-06-10

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More information about rvg at CRAN
Permanent link

Package MODIStsp updated to version 1.3.4 with previous version 1.3.3.1 dated 2017-08-17

Title: A Tool for Automating Download and Preprocessing of MODIS Land Products Data
Description: Allows automating the creation of time series of rasters derived from MODIS Satellite Land Products data. It performs several typical preprocessing steps such as download, mosaicking, reprojection and resize of data acquired on a specified time period. All processing parameters can be set using a user-friendly GUI. Users can select which layers of the original MODIS HDF files they want to process, which additional Quality Indicators should be extracted from aggregated MODIS Quality Assurance layers and, in the case of Surface Reflectance products , which Spectral Indexes should be computed from the original reflectance bands. For each output layer, outputs are saved as single-band raster files corresponding to each available acquisition date. Virtual files allowing access to the entire time series as a single file are also created. Command-line execution exploiting a previously saved processing options file is also possible, allowing to automatically update time series related to a MODIS product whenever a new image is available.
Author: Lorenzo Busetto [aut, cre] (<https://orcid.org/0000-0001-9634-6038>), Luigi Ranghetti [aut]
Maintainer: Lorenzo Busetto <lbusett@gmail.com>

Diff between MODIStsp versions 1.3.3.1 dated 2017-08-17 and 1.3.4 dated 2018-06-10

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Package eNetXplorer updated to version 1.0.1 with previous version 1.0 dated 2018-04-25

Title: Quantitative Exploration of Elastic Net Families for Generalized Linear Models
Description: Provides a quantitative toolkit to explore elastic net families and to uncover correlates contributing to prediction under a cross-validation framework. Fits linear, binomial (logistic) and multinomial models. Candia J and Tsang JS (2018), bioRxiv 305870 (under review).
Author: Julian Candia and John S. Tsang
Maintainer: Julian Candia <julian.candia@nih.gov>

Diff between eNetXplorer versions 1.0 dated 2018-04-25 and 1.0.1 dated 2018-06-10

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More information about eNetXplorer at CRAN
Permanent link

New package dexter with initial version 0.8.0
Package: dexter
Type: Package
Title: Data Management and Analysis of Tests
Version: 0.8.0
Author: Gunter Maris, Timo Bechger, Jesse Koops, Ivailo Partchev
Maintainer: Ivailo Partchev <partchev@gmail.com>
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests. Developed at Cito, The Netherlands, with subsidy from the Dutch Ministry of Education, Culture, and Science.
License: GPL-3
URL: dexterities.netlify.com
BugReports: https://github.com/jessekps/dexter/issues
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
Depends: R (>= 3.3), RSQLite (>= 2.0)
Imports: DBI, tidyr (>= 0.8.0), tibble, colorspace, shiny, shinyBS, shinydashboard, DT, fastmatch, purrr (>= 0.2.3), rlang (>= 0.2.0), dplyr (>= 0.7.4), dbplyr (>= 1.2.0), rprintf, RColorBrewer, graphics, grDevices, methods, utils
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, latticeExtra, testthat, calibrate, ggplot2, Cairo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-06-08 20:37:34 UTC; ivailo
Repository: CRAN
Date/Publication: 2018-06-10 22:41:15 UTC

More information about dexter at CRAN
Permanent link

Package cplm updated to version 0.7-7 with previous version 0.7-6 dated 2018-05-06

Title: Compound Poisson Linear Models
Description: Likelihood-based and Bayesian methods for various compound Poisson linear models based on Zhang, Yanwei (2013) <https://link.springer.com/article/10.1007/s11222-012-9343-7>.
Author: Yanwei (Wayne) Zhang
Maintainer: Yanwei (Wayne) Zhang <actuary_zhang@hotmail.com>

Diff between cplm versions 0.7-6 dated 2018-05-06 and 0.7-7 dated 2018-06-10

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More information about cplm at CRAN
Permanent link

Package multiway updated to version 1.0-5 with previous version 1.0-4 dated 2017-11-13

Title: Component Models for Multi-Way Data
Description: Fits multi-way component models via alternating least squares algorithms with optional constraints. Fit models include Individual Differences Scaling, Multiway Covariates Regression, Parallel Factor Analysis (1 and 2), Simultaneous Component Analysis, and Tucker Factor Analysis.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

Diff between multiway versions 1.0-4 dated 2017-11-13 and 1.0-5 dated 2018-06-10

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Package DHS.rates updated to version 0.3.1 with previous version 0.3.0 dated 2018-04-16

Title: Calculate Key DHS Indicators
Description: Calculates key indicators such as fertility rates (Total Fertility Rate (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR)) using Demographic and Health Survey (DHS) women/individual data, and childhood mortality rates such as Neonatal Mortality Rate (NNMR), Post-neonatal Mortality Rate (PNNMR), Infant Mortality Rate (IMR), Child Mortality Rate (CMR), and Under-5 Mortality Rate (U5MR). In addition to the indicators, the 'DHS.rates' package estimates precision indicators such as Standard Error (SE), Design Effect (DEFT), Relative Standard Error (RSE) and Confidence Interval (CI). The package is developed according to the DHS methodology of calculating the fertility indicators and the childhood mortality rates outlined in the "DHS Guide to Statistics" (Rutstein and Rojas 2006, <http://dhsprogram.com/pubs/pdf/DHSG1/Guide_to_DHS_Statistics_29Oct2012_DHSG1.pdf>) and the DHS methodology of estimating the precision indicators outlined in the "DHS Sampling and Household Listing Manual" (ICF International 2012, <https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf>).
Author: Mahmoud Elkasabi
Maintainer: Mahmoud Elkasabi <mahmoud.elkasabi@icf.com>

Diff between DHS.rates versions 0.3.0 dated 2018-04-16 and 0.3.1 dated 2018-06-10

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Package diffobj updated to version 0.1.10 with previous version 0.1.9 dated 2018-01-28

Title: Diffs for R Objects
Description: Generate a colorized diff of two R objects for an intuitive visualization of their differences.
Author: Brodie Gaslam [aut, cre], Michael B. Allen [ctb, cph] (Original C implementation of Myers Diff Algorithm)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

Diff between diffobj versions 0.1.9 dated 2018-01-28 and 0.1.10 dated 2018-06-10

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Package humidity updated to version 0.1.4 with previous version 0.1.3 dated 2018-06-10

Title: Calculate Water Vapor Measures from Temperature and Dew Point
Description: Vapor pressure, relative humidity, absolute humidity, specific humidity, and mixing ratio are commonly used water vapor measures in meteorology. This R package provides functions for calculating saturation vapor pressure (hPa), partial water vapor pressure (Pa), relative humidity (%), absolute humidity (kg/m^3), specific humidity (kg/kg), and mixing ratio (kg/kg) from temperature (K) and dew point (K). Conversion functions between humidity measures are also provided.
Author: Jun Cai [aut, cre]
Maintainer: Jun Cai <cai-j12@mails.tsinghua.edu.cn>

Diff between humidity versions 0.1.3 dated 2018-06-10 and 0.1.4 dated 2018-06-10

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Package GetoptLong updated to version 0.1.7 with previous version 0.1.6 dated 2017-03-06

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

Diff between GetoptLong versions 0.1.6 dated 2017-03-06 and 0.1.7 dated 2018-06-10

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New package erhcv with initial version 0.1.1
Package: erhcv
Type: Package
Title: Equi-Rank Hierarchical Clustering Validation
Version: 0.1.1
License: GPL (>= 2)
Author: Simon-Pierre Gadoury <spgadou@me.com>
Maintainer: Simon-Pierre Gadoury <spgadou@me.com>
Description: Assesses the statistical significance of clusters for a given dataset through bootstrapping and hypothesis testing of a given matrix of empirical Spearman's rho, based on the technique of S. Gaiser et al. (2010) <doi:10.1016/j.jmva.2010.07.008>.
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Depends: R (>= 3.5.0)
Suggests: HAC, knitr, rmarkdown
Imports: igraph, stringr, stringi, utils, Rdpack
RdMacros: Rdpack
Collate: 'VerifyTree.R' 'ClusterNodeSelection.R' 'EliminateCluster.R' 'GetLeaves.R' 'GetPairs.R' 'hclust2tree.R' 'tree2plot.R'
NeedsCompilation: no
Packaged: 2018-06-08 11:06:14 UTC; Simon-Pierre
Repository: CRAN
Date/Publication: 2018-06-10 17:05:38 UTC

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Package circlize updated to version 0.4.4 with previous version 0.4.3 dated 2017-12-20

Title: Circular Visualization
Description: Circular layout is an efficient way for the visualization of huge amounts of information. Here this package provides an implementation of circular layout generation in R as well as an enhancement of available software. The flexibility of the package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, it gives users more convenience and freedom to design figures for better understanding complex patterns behind multiple dimensional data.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between circlize versions 0.4.3 dated 2017-12-20 and 0.4.4 dated 2018-06-10

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New package trade with initial version 0.5.3
Package: trade
Type: Package
Title: Tools for Trade Practitioners
Version: 0.5.3
Author: Charles Taragin
Maintainer: Charles Taragin <charles.taragin@usdoj.gov>
Depends: antitrust
Imports: methods, stats
Suggests: shiny,bookdown,knitr, rhandsontable
VignetteBuilder: knitr
Description: A collection of tools for trade practitioners, including the ability to calibrate different consumer demand systems and simulate the effects of tariffs and quotas under different competitive regimes.
License: Unlimited
LazyLoad: yes
RoxygenNote: 6.0.1
Collate: 'QuotaClasses.R' 'TariffClasses.R' 'TariffCournot-methods.R' 'summary-methods.R' 'ps-methods.R' 'bertrand_quota.R' 'bertrand_tariff.R' 'cournot_tariff.R' 'initialize-methods.R' 'trade_shiny.R'
NeedsCompilation: no
Packaged: 2018-06-07 19:17:23 UTC; TaragIC
Repository: CRAN
Date/Publication: 2018-06-10 16:42:59 UTC

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Package RcppZiggurat updated to version 0.1.5 with previous version 0.1.4 dated 2017-09-27

Title: 'Rcpp' Integration of Different "Ziggurat" Normal RNG Implementations
Description: The Ziggurat generator for normally distributed random numbers, originally proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>) has been improved upon a few times starting with Leong et al (2005, <doi:10.18637/jss.v012.i07>). This package provides an aggregation in order to compare different implementations in order to provide an 'faster but good enough' alternative for use with R and C++ code.
Author: Dirk Eddelbuettel <edd@debian.org>
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppZiggurat versions 0.1.4 dated 2017-09-27 and 0.1.5 dated 2018-06-10

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Package RcppGSL updated to version 0.3.6 with previous version 0.3.5 dated 2018-05-19

Title: 'Rcpp' Integration for 'GNU GSL' Vectors and Matrices
Description: 'Rcpp' integration for 'GNU GSL' vectors and matrices The 'GNU Scientific Library' (or 'GSL') is a collection of numerical routines for scientific computing. It is particularly useful for C and C++ programs as it provides a standard C interface to a wide range of mathematical routines. There are over 1000 functions in total with an extensive test suite. The 'RcppGSL' package provides an easy-to-use interface between 'GSL' data structures and R using concepts from 'Rcpp' which is itself a package that eases the interfaces between R and C++. This package also serves as a prime example of how to build a package that uses 'Rcpp' to connect to another third-party library. The 'autoconf' script, 'inline' plugin and example package can all be used as a stanza to write a similar package against another library.
Author: Dirk Eddelbuettel and Romain Francois
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppGSL versions 0.3.5 dated 2018-05-19 and 0.3.6 dated 2018-06-10

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Package RcppClassic updated to version 0.9.10 with previous version 0.9.9 dated 2017-11-19

Title: Deprecated 'classic' 'Rcpp' 'API'
Description: The 'RcppClassic' package provides a deprecated C++ library which facilitates the integration of R and C++. New projects should use the new 'Rcpp' 'API' in the 'Rcpp' package.
Author: Dirk Eddelbuettel and Romain Francois, with contributions by David Reiss, and based on code written during 2005 and 2006 by Dominick Samperi
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppClassic versions 0.9.9 dated 2017-11-19 and 0.9.10 dated 2018-06-10

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Package RcppAlgos updated to version 2.0.1 with previous version 1.0.1 dated 2018-03-10

Title: Tools for Combinatorics and Computational Mathematics
Description: Provides optimized functions implemented in C++ with 'Rcpp' for solving problems in combinatorics and computational mathematics. There are combination/permutations function that are both flexible as well as efficient with respect to speed and memory. There are optional constraint parameters that when utilized, generate all combinations/ permutations of a vector meeting specific criteria (e.g. finding all combinations such that the sum is less than a bound). These functions are capable of generating specific combinations/permutations (e.g. retrieve only the 50th lexicographical permutation of 5 elements choose 3) by utilizing the bounds arguments. This sets up nicely for parallelization and allows for fast generation of combinations/ permutations beyond 2^31 - 1 results as chunks are generated independently. All combinatorial functions are capable of handling multisets as well. Additionally, there are several highly efficient number theoretic functions that are useful for problems common in computational mathematics. These include various sieving functions that can quickly generate the following: prime numbers, number of coprime elements, number of divisors, prime factorizations, and complete factorizations. Some of these functions make use of the fast integer division library 'libdivide' by <http://ridiculousfish.com>. The primeSieve function is based on the segmented sieve of Eratosthenes implementation by Kim Walisch. It is capable of generating all primes less than a billion in just over 1 second. It can also quickly generate prime numbers over a range (e.g. primeSieve(10^13, 10^13+10^9)). There are stand-alone vectorized functions for general factoring (e.g. all divisors of number), primality testing, as well as prime factoring via Pollard's rho algorithm. Finally, there is a prime counting function that implements a simple variation of Legendre's formula based on the algorithm by Kim Walisch. It is capable of returning the number of primes below a trillion in under 0.5 seconds.
Author: Joseph Wood
Maintainer: Joseph Wood <jwood000@gmail.com>

Diff between RcppAlgos versions 1.0.1 dated 2018-03-10 and 2.0.1 dated 2018-06-10

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New package mvMISE with initial version 1.0
Package: mvMISE
Title: A General Framework of Multivariate Mixed-Effects Selection Models
Version: 1.0
Date: 2018-06-04
Author: Jiebiao Wang and Lin S. Chen
Maintainer: Jiebiao Wang <randel.wang@gmail.com>
Description: Offers a general framework of multivariate mixed-effects models for the joint analysis of multiple correlated outcomes with clustered data structures and potential missingness proposed by Wang et al. (2018) <doi:10.1093/biostatistics/kxy022>. The missingness of outcome values may depend on the values themselves (missing not at random and non-ignorable), or may depend on only the covariates (missing at random and ignorable), or both. This package provides functions for two models: 1) mvMISE_b() allows correlated outcome-specific random intercepts with a factor-analytic structure, and 2) mvMISE_e() allows the correlated outcome-specific error terms with a graphical lasso penalty on the error precision matrix. Both functions are motivated by the multivariate data analysis on data with clustered structures from labelling-based quantitative proteomic studies. These models and functions can also be applied to univariate and multivariate analyses of clustered data with balanced or unbalanced design and no missingness.
License: GPL
Depends: lme4, MASS
URL: https://github.com/randel/mvMISE
BugReports: https://github.com/randel/mvMISE/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-06-04 17:54:46 UTC; rande
Repository: CRAN
Date/Publication: 2018-06-10 16:47:54 UTC

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Package humidity updated to version 0.1.3 with previous version 0.1.0 dated 2016-07-22

Title: Calculate Water Vapor Measures from Temperature and Dew Point
Description: Vapor pressure, relative humidity, absolute humidity, specific humidity, and mixing ratio are commonly used water vapor measures in meteorology. This R package provides functions for calculating saturation vapor pressure (hPa), partial water vapor pressure (Pa), relative humidity (%), absolute humidity (kg/m^3), specific humidity (kg/kg), and mixing ratio (kg/kg) from temperature (K) and dew point (K). Conversion functions between humidity measures are also provided.
Author: Jun Cai [aut, cre]
Maintainer: Jun Cai <cai-j12@mails.tsinghua.edu.cn>

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 36 files changed, 558 insertions(+), 277 deletions(-)

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New package FILEST with initial version 1.0.3
Package: FILEST
Type: Package
Title: Fine-Level Structure Simulator
Version: 1.0.3
Authors@R: c(person(given = "Kridsadakorn", family = "Chaichoompu", email = "kridsadakorn@biostatgen.org", role = c("aut", "cre")),person(given = "Kristel", family = 'Van Steen', role = "aut"),person(given = "Fentaw", family = "Abegaz", role = "aut"))
Description: A population genetic simulator, which is able to generate synthetic datasets for single-nucleotide polymorphisms (SNP) for multiple populations. The genetic distances among populations can be set according to the Fixation Index (Fst) as explained in Balding and Nichols (1995) <doi:10.1007/BF01441146>. This tool is able to simulate outlying individuals and missing SNPs can be specified. For Genome-wide association study (GWAS), disease status can be set in desired level according risk ratio.
Depends: R (>= 3.2.4.0)
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: KRIS (>= 1.1.1),rARPACK,grDevices,stats,utils
Suggests: testthat
BugReports: https://gitlab.com/kris.ccp/filest/issues
URL: https://gitlab.com/kris.ccp/filest
NeedsCompilation: no
Packaged: 2018-06-07 08:40:28 UTC; kridsadakorn
Author: Kridsadakorn Chaichoompu [aut, cre], Kristel Van Steen [aut], Fentaw Abegaz [aut]
Maintainer: Kridsadakorn Chaichoompu <kridsadakorn@biostatgen.org>
Repository: CRAN
Date/Publication: 2018-06-10 16:12:58 UTC

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Package dtwclust updated to version 5.4.1 with previous version 5.4.0 dated 2018-05-12

Title: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance
Description: Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions. Implementations of DTW barycenter averaging, a distance based on global alignment kernels, and the soft-DTW distance and centroid routines are also provided. All included distance functions have custom loops optimized for the calculation of cross-distance matrices, including parallelization support. Several cluster validity indices are included.
Author: Alexis Sarda-Espinosa
Maintainer: Alexis Sarda <alexis.sarda@gmail.com>

Diff between dtwclust versions 5.4.0 dated 2018-05-12 and 5.4.1 dated 2018-06-10

 DESCRIPTION                        |    8 
 MD5                                |   62 -
 R/CENTROIDS-shape-extraction.R     |    2 
 R/CLUSTERING-compare-clusterings.R | 1934 +++++++++++++++----------------
 R/CLUSTERING-ddist2.R              |    9 
 R/CLUSTERING-partitional-fuzzy.R   |  282 ++--
 R/CLUSTERING-repeat-clustering.R   |    4 
 R/CLUSTERING-tadpole.R             |  236 +--
 R/CLUSTERING-tsclust-controls.R    |  404 +++---
 R/CLUSTERING-tsclust.R             | 1612 +++++++++++++-------------
 R/DISTANCES-dtw-basic.R            |    3 
 R/DISTANCES-dtw-lb.R               |  437 +++----
 R/DISTANCES-dtw2.R                 |  116 -
 R/DISTANCES-gak.R                  |    5 
 R/DISTANCES-lb-improved.R          |  350 ++---
 R/DISTANCES-lb-keogh.R             |  297 ++--
 R/DISTANCES-sbd.R                  |   11 
 R/DISTANCES-sdtw.R                 |  181 +-
 R/GENERICS-cvi.R                   |  539 ++++----
 R/S4-Distmat.R                     |  200 +--
 R/S4-SparseDistmat.R               |  231 +--
 R/S4-TSClusters-methods.R          | 2249 ++++++++++++++++++-------------------
 R/UTILS-expressions.R              |    1 
 R/UTILS-utils.R                    |   18 
 inst/NEWS.Rd                       |   34 
 inst/doc/dtwclust.Rnw              |    6 
 inst/doc/dtwclust.pdf              |binary
 man/tsclust.Rd                     |    9 
 tests/testthat/acceptance/dtwb.R   |   53 
 tests/testthat/unit/centroids.R    |   16 
 tests/testthat/unit/misc.R         |   13 
 vignettes/dtwclust.Rnw             |    6 
 32 files changed, 4689 insertions(+), 4639 deletions(-)

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New package ratematrix with initial version 1.0
Package: ratematrix
Title: Bayesian Estimation of the Evolutionary Rate Matrix
Version: 1.0
Authors@R: c( person("Daniel", "Caetano", email = "caetanods1@gmail.com", role = c("aut", "cre")), person("Luke", "Harmon", email = "lukeh@uidaho.edu", role = "aut") )
Description: Estimates the evolutionary rate matrix (R) using Markov chain Monte Carlo (MCMC) as described in Caetano and Harmon (2017) <doi:10.1111/2041-210X.12826>. The package has functions to run MCMC chains, plot results, evaluate convergence, and summarize posterior distributions.
URL: https://github.com/Caetanods/ratematrix
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
Imports: ape, geiger, coda, corpcor, MASS, phylolm, readr, mvMORPH, Rcpp, ellipse
Suggests: microbenchmark, knitr, rmarkdown, phytools
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-06-06 18:02:46 UTC; daniel
Author: Daniel Caetano [aut, cre], Luke Harmon [aut]
Maintainer: Daniel Caetano <caetanods1@gmail.com>
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2018-06-10 15:27:53 UTC

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New package PQLseq with initial version 1.0
Package: PQLseq
Type: Package
Title: Efficient Mixed Model Analysis of Count Data in Large-Scale Genomic Sequencing Studies
Version: 1.0
Date: 2018-06-02
Author: Shiquan Sun, Jiaqiang Zhu, Xiang Zhou
Maintainer: Shiquan Sun <shiquans@umich.edu>
Description: An efficient tool designed for differential analysis of large-scale RNA sequencing (RNAseq) data and Bisulfite sequencing (BSseq) data in the presence of individual relatedness and population structure. 'PQLseq' first fits a Generalized Linear Mixed Model (GLMM) with adjusted covariates, predictor of interest and random effects to account for population structure and individual relatedness, and then performs Wald tests for each gene in RNAseq or site in BSseq.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.14),foreach,doParallel,parallel,Matrix
LinkingTo: Rcpp,RcppArmadillo
NeedsCompilation: yes
Packaged: 2018-06-06 17:49:47 UTC; jiaqiang
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2018-06-10 15:22:54 UTC

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New package inplace with initial version 0.1.0
Package: inplace
Version: 0.1.0
Date: 2018-06-06
Title: In-place Operators for R
Description: It provides in-place operators for R that are equivalent to '+=', '-=', '*=', '/=' in C++. Those can be applied on integer|double vectors|matrices. You have also access to sweep operations (in-place).
Authors@R: person("Florian", "Privé", email = "florian.prive.21@gmail.com", role = c("aut", "cre"))
License: GPL-3
Language: en-US
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1
LinkingTo: Rcpp
Imports: Rcpp
Suggests: spelling, data.table, testthat, covr
URL: https://github.com/privefl/inplace
BugReports: https://github.com/privefl/inplace/issues
NeedsCompilation: yes
Packaged: 2018-06-06 15:30:14 UTC; Florian
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>
Repository: CRAN
Date/Publication: 2018-06-10 15:13:01 UTC

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Package ggiraph updated to version 0.4.3 with previous version 0.4.2 dated 2017-12-19

Title: Make 'ggplot2' Graphics Interactive
Description: Create interactive 'ggplot2' graphics using 'htmlwidgets'.
Author: David Gohel [aut, cre], Mike Bostock [cph] (d3.js), Speros Kokenes [cph] (d3-lasso), Eric Book [ctb] (hline and vline geoms)
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between ggiraph versions 0.4.2 dated 2017-12-19 and 0.4.3 dated 2018-06-10

 DESCRIPTION                                            |   16 ++--
 MD5                                                    |   58 +++++++++--------
 NAMESPACE                                              |   14 ++++
 NEWS                                                   |    9 ++
 R/geom_boxplot_interactive.R                           |    4 +
 R/geom_hline_interactive.R                             |only
 R/geom_path_interactive.R                              |    4 +
 R/geom_point_interactive.R                             |    4 +
 R/geom_polygon_interactive.R                           |   11 +++
 R/geom_rect_interactive.R                              |   10 ++
 R/geom_segment_interactive.R                           |    4 +
 R/geom_text_interactive.R                              |    4 +
 R/geom_vline_interactive.R                             |only
 R/ggiraph.R                                            |   11 ++-
 R/utils.R                                              |   16 ++++
 R/zz_geom_bar_interactive.r                            |    4 +
 build/vignette.rds                                     |binary
 inst/htmlwidgets/ggiraph.js                            |   20 +++--
 inst/htmlwidgets/lib/ggiraph-0.3.0/ggiraph_selector.js |    2 
 inst/htmlwidgets/lib/ggiraph-0.3.0/ggiraph_tooltip.js  |   41 ++++++++++++
 inst/shiny/DT/server.R                                 |    1 
 inst/shiny/cars/server.R                               |    1 
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 inst/shiny/iris/server.R                               |    3 
 inst/shiny/maps/server.R                               |    3 
 inst/shiny/maps/ui.R                                   |    3 
 man/geom_histogram_interactive.Rd                      |    4 -
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 32 files changed, 204 insertions(+), 54 deletions(-)

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New package CMLS with initial version 1.0-0
Package: CMLS
Type: Package
Title: Constrained Multivariate Least Squares
Version: 1.0-0
Date: 2018-06-06
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>
Depends: quadprog, parallel
Description: Solves multivariate least squares (MLS) problems subject to constraints on the coefficients, e.g., non-negativity, orthogonality, equality, inequality, monotonicity, unimodality, smoothness, etc. Includes flexible functions for solving MLS problems subject to user-specified equality and/or inequality constraints, as well as a wrapper function that implements 24 common constraint options. Also does k-fold or generalized cross-validation to tune constraint options for MLS problems. See ten Berge (1993, ISBN:9789066950832) for an overview of MLS problems, and see Goldfarb and Idnani (1983) <doi:10.1007/BF02591962> for a discussion of the underlying quadratic programming algorithm.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-06-06 17:19:23 UTC; Nate
Repository: CRAN
Date/Publication: 2018-06-10 15:17:57 UTC

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New package BHTSpack with initial version 0.1
Package: BHTSpack
Type: Package
Title: Bayesian Multi-Plate High-Throughput Screening of Compounds
Version: 0.1
Authors@R: c(person(c("Ivo", "D."), "Shterev", role = c("aut", "cre"), email = "i.shterev@duke.edu"), person(c("David", "B."), "Dunson", role = "aut"), person("Cliburn", "Chan", role = "aut"), person(c("Gregory", "D."), "Sempowski", role = "aut"))
Description: Can be used for joint identification of candidate compound hits from multiple assays, in drug discovery. This package implements the framework of I. D. Shterev, D. B. Dunson, C. Chan and G. D. Sempowski. "Bayesian Multi-Plate High-Throughput Screening of Compounds", Scientific Reports (to appear). This project was funded by the Division of Allergy, Immunology, and Transplantation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under contract No. HHSN272201400054C entitled "Adjuvant Discovery For Vaccines Against West Nile Virus and Influenza", awarded to Duke University and lead by Drs. Herman Staats and Soman Abraham.
Depends: R (>= 3.2.3), R2HTML (>= 2.3.2), xtable (>= 1.8-2)
VignetteBuilder: knitr
Suggests: knitr
License: GPL-3
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2018-06-05 15:57:04 UTC; is33
Author: Ivo D. Shterev [aut, cre], David B. Dunson [aut], Cliburn Chan [aut], Gregory D. Sempowski [aut]
Maintainer: Ivo D. Shterev <i.shterev@duke.edu>
Repository: CRAN
Date/Publication: 2018-06-10 15:13:05 UTC

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New package xmlrpc2 with initial version 1.0
Package: xmlrpc2
Type: Package
Title: Implementation of the Remote Procedure Call Protocol ('XML-RPC')
Version: 1.0
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Description: The 'XML-RPC' is a remote procedure call protocol based on 'XML'. The 'xmlrpc2' package is inspired by the 'XMLRPC' package but uses the 'curl' and 'xml2' packages instead 'RCurl' and 'XML'.
License: GPL-3
Imports: curl, xml2, base64enc
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-06-06 12:40:12 UTC; florian
Repository: CRAN
Date/Publication: 2018-06-10 14:57:58 UTC

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New package tuts with initial version 0.1.0
Package: tuts
Type: Package
Title: Time Uncertain Time Series Analysis
Version: 0.1.0
Date: 2018-05-09
Authors@R: c( person("Peter", "Franke", email = "peter.franke@ucdconnect.ie", role = c("aut","cre")), person("Andrew", "Parnell", role = c("aut")))
Description: Models of time-uncertain time series addressing frequency and non-frequency behavior of continuous and discrete (counting) data.
License: GPL (>= 2)
Depends: R (>= 3.4.0), rjags
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: coda, doParallel, foreach, lomb, mcmcplots, parallel, stats, truncnorm
NeedsCompilation: no
Packaged: 2018-06-09 22:18:24 UTC; Peter Max
Author: Peter Franke [aut, cre], Andrew Parnell [aut]
Maintainer: Peter Franke <peter.franke@ucdconnect.ie>
Repository: CRAN
Date/Publication: 2018-06-10 14:27:55 UTC

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New package StatCharrms with initial version 0.90.91
Package: StatCharrms
Version: 0.90.91
Date: 2018-6-05
Title: Statistical Analysis of Chemistry, Histopathology, and Reproduction Endpoints Including Repeated Measures and Multi-Generation Studies
Authors@R: c(person("Joe", "Swintek", role = c("aut", "cre"), email = "swintek.joe@epa.gov"), person("Kevin", "Flynn", role = "ctb", email = "Flynn.Kevin@epa.gov"), person("Jon", "Haselman", role = "ctb", email = "Haselman.Jon@epa.gov") )
Depends: R (>= 3.1.0)
Imports: RGtk2, R2HTML, gWidgets, gWidgetsRGtk2, multcomp, nlme, lattice, cairoDevice, car, clinfun, survival, coxme, methods, RSCABS
SystemRequirements: GTK+ (>= 2.8.0)
ByteCompile: no
LazyLoad: yes
LazyData: yes
Description: A front end for the statistical analyses involved in the tier II endocrine disruptor screening program. The analyses available to this package are: Rao-Scott adjusted Cochran-Armitage test for trend By Slices (RSCABS), a Standard Cochran-Armitage test for trend By Slices (SCABS), mixed effects Cox proportional model, Jonckheere-Terpstra step down trend test Dunn test, one way ANOVA, weighted ANOVA, mixed effects ANOVA, repeated measures ANOVA, and Dunnett test.
License: CC0
URL: https://CRAN.R-project.org/package=StatCharrms
Author: Joe Swintek [aut, cre], Kevin Flynn [ctb], Jon Haselman [ctb]
Maintainer: Joe Swintek <swintek.joe@epa.gov>
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-06-06 13:56:37 UTC; jswintek
Repository: CRAN
Date/Publication: 2018-06-10 14:58:01 UTC

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New package pseudorank with initial version 0.1.0
Package: pseudorank
Title: Pseudo-Ranks
Version: 0.1.0
Date: 2018-06-08
Authors@R: c(person("Martin Happ", role = c("aut", "cre"), email = "martin.happ@aon.at", comment = c(ORCID = "0000-0003-0009-2665")), person("Georg Zimmermann", role = "aut"), person("Arne C. Bathke", role = "aut"), person("Edgar Brunner", role = "aut"))
Maintainer: Martin Happ <martin.happ@aon.at>
Description: Efficient calculation of pseudo-ranks. In case of equal sample sizes, pseudo-ranks and mid-ranks are equal. When used for inference mid-ranks may lead to paradoxical results. Pseudo-ranks are in general not affected by such a problem. For details, see Brunner, E., Bathke A. C. and Konietschke, F: Rank- and Pseudo-Rank Procedures in Factorial Designs - Using R and SAS, Springer Verlag, to appear.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: Rcpp (>= 0.12.16)
LinkingTo: Rcpp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-06-10 06:48:39 UTC; Martin
Author: Martin Happ [aut, cre] (<https://orcid.org/0000-0003-0009-2665>), Georg Zimmermann [aut], Arne C. Bathke [aut], Edgar Brunner [aut]
Repository: CRAN
Date/Publication: 2018-06-10 14:32:56 UTC

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New package mdsstat with initial version 0.1.0
Package: mdsstat
Type: Package
Title: Statistical Trending for Medical Devices Surveillance
Version: 0.1.0
Authors@R: person("Gary", "Chung", email="gchung05@gmail.com", role=c("aut", "cre"))
Maintainer: Gary Chung <gchung05@gmail.com>
Description: A collection of common statistical algorithms used in active surveillance of medical device events. Context includes post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are device-event time series. Outputs include trending results with the ability to run multiple algorithms at once. This package works well with the 'mds' package, but does not require it.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: utils, stats, graphics, mds, lubridate
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-06-06 11:50:54 UTC; Gary
Author: Gary Chung [aut, cre]
Repository: CRAN
Date/Publication: 2018-06-10 14:27:59 UTC

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New package GLMMadaptive with initial version 0.1-3
Package: GLMMadaptive
Title: Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
Version: 0.1-3
Date: 2018-06-06
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Description: Fits generalized linear mixed models for a single grouping factor under maximum likelihood approximating the integrals over the random effects with an adaptive Gaussian quadrature rule; Jose C. Pinheiro and Douglas M. Bates (1995) <doi:10.1080/10618600.1995.10474663>.
Imports: MASS, nlme, parallel
Suggests: lattice
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
License: GPL (>= 3)
URL: https://github.com/drizopoulos/GLMMadaptive
NeedsCompilation: no
Packaged: 2018-06-06 12:46:46 UTC; drizo
Repository: CRAN
Date/Publication: 2018-06-10 14:58:05 UTC

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Package ctsem updated to version 2.6.4 with previous version 2.5.0 dated 2017-10-18

Title: Continuous Time Structural Equation Modelling
Description: A hierarchical, multivariate, continuous (and discrete) time dynamic modelling package for panel and time series data, using stochastic differential equations. Contains a faster frequentist set of functions using OpenMx for single subject and mixed-effects (random intercepts only) structural equation models, or a hierarchical Bayesian implementation using Stan that allows for random effects and non-linearity over all model parameters. Allows for modelling of multiple noisy measurements of multiple stochastic processes, time varying input / event covariates, and time invariant covariates used to predict the parameters.
Author: Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph]
Maintainer: Charles Driver <driver@mpib-berlin.mpg.de>

Diff between ctsem versions 2.5.0 dated 2017-10-18 and 2.6.4 dated 2018-06-10

 ctsem-2.5.0/ctsem/R/ctStanFitTV.R                      |only
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 ctsem-2.6.4/ctsem/R/Kalman.R                           |  651 ++--
 ctsem-2.6.4/ctsem/R/ctCheckFit.R                       |  137 
 ctsem-2.6.4/ctsem/R/ctDataHelp.R                       |   92 
 ctsem-2.6.4/ctsem/R/ctDiscretePars.R                   |   93 
 ctsem-2.6.4/ctsem/R/ctFit.R                            |  104 
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 ctsem-2.6.4/ctsem/R/ctKalman.R                         |   53 
 ctsem-2.6.4/ctsem/R/ctModel.R                          |   22 
 ctsem-2.6.4/ctsem/R/ctPlotArray.R                      |   82 
 ctsem-2.6.4/ctsem/R/ctPostPredict.R                    |    4 
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 ctsem-2.6.4/ctsem/R/ctStanFit.R                        | 2709 ++++++++++-------
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New package AROC with initial version 1.0
Package: AROC
Type: Package
Title: Covariate-Adjusted Receiver Operating Characteristic Curve Inference
Version: 1.0
Date: 2018-05-30
Authors@R: c( person(given = "Maria Xose", family = "Rodriguez-Alvarez", email = "mxrodriguez@bcamath.org", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1329-9238")), person(given = "Vanda", family = "Inacio de Carvalho", email = "Vanda.Inacio@ed.ac.uk", role = c("aut"), comment = c(ORCID = "0000-0001-8084-1616")))
Imports: stats, grDevices, graphics, splines, np, Matrix, Hmisc, MASS, moments
Description: Estimates the covariate-adjusted Receiver Operating Characteristic (AROC) curve and pooled (unadjusted) ROC curve by different methods. Inacio de Carvalho, V., and Rodriguez-Alvarez, M. X. (2018) <arXiv:1806.00473>.
License: GPL
NeedsCompilation: no
Packaged: 2018-06-06 13:15:24 UTC; mrodriguez
Author: Maria Xose Rodriguez-Alvarez [aut, cre] (<https://orcid.org/0000-0002-1329-9238>), Vanda Inacio de Carvalho [aut] (<https://orcid.org/0000-0001-8084-1616>)
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@bcamath.org>
Repository: CRAN
Date/Publication: 2018-06-10 14:58:08 UTC

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Package pathfindR updated to version 1.2.0 with previous version 1.1.0 dated 2018-05-14

Title: Pathway Enrichment Analysis Utilizing Active Subnetworks
Description: Pathway enrichment analysis enables researchers to uncover mechanisms underlying the phenotype. pathfindR is a tool for pathway enrichment analysis utilizing active subnetworks. It identifies active subnetworks in a protein-protein interaction network using user-provided a list of genes. It performs pathway enrichment analyses on the identified subnetworks. pathfindR also offers functionalities to cluster enriched pathways and identify representative pathways and to score the pathways per sample. The method is described in detail in Ulgen E, Ozisik O, Sezerman OU. 2018. pathfindR: An R Package for Pathway Enrichment Analysis Utilizing Active Subnetworks. bioRxiv. <doi:10.1101/272450>.
Author: Ege Ulgen, Ozan Ozisik
Maintainer: Ege Ulgen <egeulgen@gmail.com>

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Package DoE.base updated to version 1.0 with previous version 0.32 dated 2018-03-01

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>

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Package cbinom updated to version 1.1 with previous version 0.0.0 dated 2018-04-10

Title: Continuous Analog of a Binomial Distribution
Description: Implementation of the d/p/q/r family of functions for a continuous analog to the standard discrete binomial with continuous size parameter and continuous support with x in [0, size + 1], following Ilienko (2013) <arXiv:1303.5990>.
Author: Dan Dalthorp
Maintainer: Dan Dalthorp <ddalthorp@usgs.gov>

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Package antitrust updated to version 0.99.10 with previous version 0.99.9 dated 2018-06-07

Title: Tools for Antitrust Practitioners
Description: A collection of tools for antitrust practitioners, including the ability to calibrate different consumer demand systems and simulate the effects of mergers under different competitive regimes.
Author: Charles Taragin and Michael Sandfort
Maintainer: Charles Taragin <charles.taragin@usdoj.gov>

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Package dexter (with last version 0.7.0) was removed from CRAN

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

2018-05-17 0.7.0
2017-12-16 0.6.0
2017-10-22 0.5.1
2017-08-22 0.4.4
2017-07-18 0.4.2
2017-02-08 0.1.7

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Package dextergui (with last version 0.1.2) was removed from CRAN

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

2018-06-05 0.1.2
2018-05-30 0.1.1

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Package rlas (with last version 1.2.3) was removed from CRAN

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

2018-05-18 1.2.3
2018-04-13 1.2.1
2018-04-09 1.2.0
2018-01-18 1.1.9
2018-01-16 1.1.8
2017-09-22 1.1.5
2017-06-27 1.1.4
2017-06-09 1.1.3
2017-05-04 1.1.2
2017-03-15 1.1.1
2017-02-05 1.1.0
2016-12-28 1.0.3
2016-12-23 1.0.2

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Package lidR (with last version 1.5.0) was removed from CRAN

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

2018-05-13 1.5.0
2018-04-19 1.4.2
2018-01-31 1.4.1
2018-01-24 1.4.0
2017-09-20 1.3.1
2017-09-16 1.3.0
2017-06-13 1.2.1
2017-03-26 1.2.0
2017-02-05 1.1.0
2016-12-31 1.0.2

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Package freeknotsplines updated to version 1.0.1 with previous version 1.0 dated 2012-10-04

Title: Algorithms for Implementing Free-Knot Splines
Description: Algorithms for fitting free-knot splines for data with one independent variable and one dependent variable. Four free-knot spline algorithms are provided for the case where the number of knots is known in advance. A knot-search algorithm is provided for the case where the number of knots is not known in advance. In addition, methods are available to compute the fitted values, the residuals, and the coefficients of the splines, and to plot the results, along with a method to summarize the results.
Author: Steven Spiriti <puzzlesteven@gmail.com>, Philip Smith <philip.smith@ttu.edu>, Pierre Lecuyer <lecuyer@iro.UMontreal.ca>,
Maintainer: Steven Spiriti <puzzlesteven@gmail.com>

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Package cheddar updated to version 0.1-633 with previous version 0.1-631.1 dated 2018-06-09

Title: Analysis and Visualisation of Ecological Communities
Description: Provides a flexible, extendable representation of an ecological community and a range of functions for analysis and visualisation, focusing on food web, body mass and numerical abundance data. Allows inter-web comparisons such as examining changes in community structure over environmental, temporal or spatial gradients.
Author: Lawrence Hudson with contributions from Dan Reuman and Rob Emerson
Maintainer: Lawrence Hudson <quicklizard@googlemail.com>

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Package bsamGP updated to version 1.2.0 with previous version 1.1.2 dated 2018-01-03

Title: Bayesian Spectral Analysis Models using Gaussian Process Priors
Description: Contains functions to perform Bayesian inference using a spectral analysis of Gaussian process priors. Gaussian processes are represented with a Fourier series based on cosine basis functions. Currently the package includes parametric linear models, partial linear additive models with/without shape restrictions, generalized linear additive models with/without shape restrictions, and density estimation model. To maximize computational efficiency, the actual Markov chain Monte Carlo sampling for each model is done using codes written in FORTRAN 90. This software has been developed using funding supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. NRF-2016R1D1A1B03932178 and no. NRF-2017R1D1A3B03035235).
Author: Seongil Jo [aut, cre], Taeryon Choi [aut], Beomjo Park [aut, cre], Peter J. Lenk [ctb]
Maintainer: Beomjo Park <beomjo@korea.ac.kr>

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Package blavaan updated to version 0.3-2 with previous version 0.3-1 dated 2018-01-12

Title: Bayesian Latent Variable Analysis
Description: Fit a variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent growth curve models.
Author: Edgar Merkle [aut, cre], Yves Rosseel [aut], Mauricio Garnier-Villarreal [ctb], Terrence D. Jorgensen [ctb], Huub Hoofs [ctb], Rens van de Schoot [ctb]
Maintainer: Edgar Merkle <merklee@missouri.edu>

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Package ursa (with last version 3.8.8) was removed from CRAN

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

2018-06-06 3.8.8

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Package teachingApps updated to version 1.0.4 with previous version 1.0.2 dated 2017-07-14

Title: Apps for Teaching Statistics, R Programming, and Shiny App Development
Description: Contains apps and gadgets for teaching data analysis and statistics concepts along with how to implement them in R. Includes tools to make app development easier and faster by nesting apps together.
Author: Jason Freels [aut, cre], Bradley Boehmke [ctb]
Maintainer: Jason Freels <auburngrads@live.com>

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 teachingApps-1.0.4/teachingApps/R/teachingApps.R                                              |    2 
 teachingApps-1.0.4/teachingApps/README.md                                                     |   17 
 teachingApps-1.0.4/teachingApps/inst/apps/acceptance_mtbf/global.R                            |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/acceptance_mtbf_mini/global.R                       |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/acceptance_proportion/global.R                      |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/acceptance_testing_mtbf/global.R                    |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/basic_dashboard/global.R                            |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/bathtub_hazard/global.R                             |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/bayesian_basic/global.R                             |    2 
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 teachingApps-1.0.4/teachingApps/inst/apps/data_science/global.R                               |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/degradation_failure/global.R                        |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/diagram_both/global.R                               |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/diagram_nonrepairable/global.R                      |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/diagram_repairable/global.R                         |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/diagrammer_network/global.R                         |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/dice_roll/global.R                                  |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_beta/beta-func.Rmd                     |   20 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_beta/beta-props.Rmd                    |    2 
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 teachingApps-1.0.4/teachingApps/inst/apps/distribution_beta_functions/global.R                |    2 
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 teachingApps-1.0.4/teachingApps/inst/apps/distribution_logistic/log-props.Rmd                 |   20 
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 teachingApps-1.0.4/teachingApps/inst/apps/distribution_loglogistic_functions/global.R         |    2 
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 teachingApps-1.0.4/teachingApps/inst/apps/distribution_lognormal_functions/global.R           |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_normal/global.R                        |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_normal/nor-props.Rmd                   |   31 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_normal_functions/global.R              |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_poisson/global.R                       |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_poisson/poi-func.Rmd                   |   13 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_poisson/poi-props.Rmd                  |   18 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_poisson_functions/global.R             |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_sev/global.R                           |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_sev/sev-props.Rmd                      |   19 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_sev_functions/global.R                 |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_weibull/global.R                       |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/distribution_weibull_functions/global.R             |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/htmlwidgets_shiny/global.R                          |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/kernel_density/global.R                             |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/location_scale/global.R                             |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/log_location_scale/global.R                         |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/logistics_performance/global.R                      |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/mathjax_example/global.R                            |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/maximum_likelihood/global.R                         |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/maximum_likelihood_simulation/global.R              |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/nesting_demo/global.R                               |    4 
 teachingApps-1.0.4/teachingApps/inst/apps/overview_network/global.R                           |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/power_calculator/global.R                           |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/random_generator/global.R                           |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/sankey_network/global.R                             |    2 
 teachingApps-1.0.4/teachingApps/inst/apps/sankey_network/server.R                             |   29 
 teachingApps-1.0.4/teachingApps/inst/apps/smc_risk/global.R                                   |    2 
 teachingApps-1.0.4/teachingApps/inst/teachingApps/css/teachingApps.css                        |    8 
 teachingApps-1.0.4/teachingApps/inst/teachingApps/font-awesome-4.5.0/css/font-awesome.css     | 4170 +++++-----
 teachingApps-1.0.4/teachingApps/inst/teachingApps/font-awesome-4.5.0/css/font-awesome.min.css |   22 
 teachingApps-1.0.4/teachingApps/man/beta4.Rd                                                  |only
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 teachingApps-1.0.4/teachingApps/src/RcppExports.cpp                                           |  134 
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 124 files changed, 2933 insertions(+), 3106 deletions(-)

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