Mon, 03 Dec 2018

Package refuge updated to version 0.3.2 with previous version 0.3.0 dated 2018-12-03

Title: Locate Trans and Intersex-Friendly Toilets
Description: Access the 'Refuge' API, a web-application for locating trans and intersex-friendly restrooms, including unisex and accessible restrooms. Includes data on the location of restrooms, along with directions, comments, user ratings and amenities. Coverage is global, but data is most comprehensive in the United States. See <https://www.refugerestrooms.org/api/docs/> for full API documentation.
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>)
Maintainer: Evan Odell <evanodell91@gmail.com>

Diff between refuge versions 0.3.0 dated 2018-12-03 and 0.3.2 dated 2018-12-03

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New package ParBayesianOptimization with initial version 0.0.1
Package: ParBayesianOptimization
Title: Parallel Bayesian Optimization of Hyperparameters
Version: 0.0.1
Authors@R: person("Samuel", "Wilson", email = "samwilson303@gmail.com", role = c("aut", "cre"))
Description: Fast, flexible framework for implementing Bayesian optimization of model hyperparameters according to the methods described in Snoek et al. <arXiv:1206.2944>. The package allows the user to run scoring function in parallel, save intermediary results, and tweak other aspects of the process to fully utilize the computing resources available to the user.
URL: https://github.com/AnotherSamWilson/ParBayesianOptimization
BugReports: https://github.com/AnotherSamWilson/ParBayesianOptimization/issues
Depends: R (>= 3.5.0), data.table (>= 1.11.8), GauPro, stats, foreach, dbscan
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0.9000
Suggests: knitr,rmarkdown,xgboost,doParallel,ggplot2
VignetteBuilder: knitr
Maintainer: Samuel Wilson <samwilson303@gmail.com>
NeedsCompilation: no
Packaged: 2018-11-23 23:55:38 UTC; swilson
Author: Samuel Wilson [aut, cre]
Repository: CRAN
Date/Publication: 2018-12-03 22:40:06 UTC

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Package lspartition updated to version 0.2 with previous version 0.1 dated 2018-04-19

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 (2018) <arXiv:1804.04916>. lsprobust() for nonparametric point estimation of regression functions and derivatives thereof, and for robust bias-corrected (pointwise and uniform) inference procedures. lspkselect() for data-driven procedure for selecting 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>

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Package eyetrackingR updated to version 0.1.8 with previous version 0.1.7 dated 2018-02-14

Title: Eye-Tracking Data Analysis
Description: A set of tools that address tasks along the pipeline from raw data to analysis and visualization for eye-tracking data. Offers several popular types of analyses, including linear and growth curve time analyses, onset-contingent reaction time analyses, as well as several non-parametric bootstrapping approaches.
Author: Jacob Dink [aut, cre], Brock Ferguson [aut]
Maintainer: Jacob Dink <jacobwdink@gmail.com>

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Package bookdown updated to version 0.8 with previous version 0.7 dated 2018-02-18

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Christophe Dervieux [ctb], Clifton Franklund [ctb], Daniel Emaasit [ctb], David Shuman [ctb], Dean Attali [ctb], Drew Tyre [ctb], Ellis Valentiner [ctb], Frans van Dunne [ctb], Hadley Wickham [ctb], Jeff Allen [ctb], Jennifer Bryan [ctb], Jonathan McPhers [ctb], Junwen Huang [ctb], Kevin Cheung [ctb], Kevin Ushey [ctb], Kim Seonghyun [ctb], Kirill Muller [ctb], Luciano Selzer [ctb], Matthew Lincoln [ctb], Maximilian Held [ctb], Michael Sachs [ctb], Michal Bojanowski [ctb], Noam Ross [ctb], Peter Hickey [ctb], Sahir Bhatnagar [ctb], Steve Simpson [ctb], Thierry Onkelinx [ctb] (<https://orcid.org/0000-0001-8804-4216>), Vincent Fulco [ctb], Yixuan Qiu [ctb], Zhuoer Dong [ctb], RStudio Inc [cph], Bartek Szopka [ctb] (The jQuery Highlight plugin), jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/resources/AUTHORS), MathQuill contributors [ctb] (The MathQuill library; authors listed in inst/resources/AUTHORS), FriendCode Inc [cph, ctb] (The gitbook style, with modifications)
Maintainer: Yihui Xie <xie@yihui.name>

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Package arules updated to version 1.6-2 with previous version 1.6-1 dated 2018-04-06

Title: Mining Association Rules and Frequent Itemsets
Description: Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides C implementations of the association mining algorithms Apriori and Eclat.
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Bettina Gruen [aut, cph], Kurt Hornik [aut, cph], Ian Johnson [ctb, cph], Christian Borgelt [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package rnoaa updated to version 0.8.0 with previous version 0.7.0 dated 2017-05-06

Title: 'NOAA' Weather Data from R
Description: Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Author: Scott Chamberlain [aut, cre], Brooke Anderson [ctb], Maëlle Salmon [ctb], Adam Erickson [ctb], Nicholas Potter [ctb], Joseph Stachelek [ctb], Alex Simmons [ctb], Karthik Ram [ctb], Hart Edmund [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package meanShiftR updated to version 0.53 with previous version 0.52 dated 2018-06-25

Title: A Computationally Efficient Mean Shift Implementation
Description: Performs mean shift classification using linear and k-d tree based nearest neighbor implementations for the Gaussian, Epanechnikov, and biweight product kernels.
Author: Jonathan Lisic [aut, cre]
Maintainer: Jonathan Lisic <jlisic@gmail.com>

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Package spData updated to version 0.2.9.6 with previous version 0.2.9.4 dated 2018-09-15

Title: Datasets for Spatial Analysis
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
Author: Roger Bivand [aut] (<https://orcid.org/0000-0003-2392-6140>), Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Robin Lovelace [aut] (<https://orcid.org/0000-0001-5679-6536>), Mark Monmonier [ctb] (author of the state.vbm dataset), Greg Snow [ctb] (author of the state.vbm dataset)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

Diff between spData versions 0.2.9.4 dated 2018-09-15 and 0.2.9.6 dated 2018-12-03

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Package SMFilter updated to version 1.0.2 with previous version 1.0.0 dated 2018-11-26

Title: Filtering Algorithms for the State Space Models on the Stiefel Manifold
Description: Provides the filtering algorithms for the state space models on the Stiefel manifold as well as the corresponding sampling algorithms for uniform, vector Langevin-Bingham and matrix Langevin-Bingham distributions on the Stiefel manifold.
Author: Yukai Yang [aut, cre]
Maintainer: Yukai Yang <yukai.yang@statistik.uu.se>

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New package qccrs with initial version 0.1.0
Package: qccrs
Type: Package
Title: Quality Control Charts under Repetitive Sampling
Version: 0.1.0
Authors@R: c( person(c("Muhammad", "Yaseen"), email = "myaseen208@gmail.com", role = c("aut", "cre")) , person(c("Muhammad", "Aslam"), email = "aslam_ravian@hotmail.com", role = c("aut", "ctb")) , person(c("Sami", "Ullah"), email = "samiullahuos@gmail.com", role = c("aut", "ctb")) , person(c("Muhammad", "Azam"), email = "mazam@uvas.edu.pk", role = c("aut", "ctb")) , person(c("Chi-Hyuck", "Jun"), email = "chjun@postech.ac.kr", role = c("aut", "ctb")) , person(c("Muhammad", "Kashif"), email = "mkashif@uaf.edu.pk", role = c("aut", "ctb")) )
Author: Muhammad Yaseen [aut, cre], Muhammad Aslam [aut, ctb], Sami Ullah [aut, ctb], Muhammad Azam [aut, ctb], Chi-Hyuck Jun [aut, ctb], Muhammad Kashif [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Functions to calculate Average Sample Numbers (ASN), Average Run Length (ARL1) and value of k, k1 and k2 for quality control charts under repetitive sampling as given in Aslam et al. (2014) (<DOI:10.7232/iems.2014.13.1.101>).
Depends: R (>= 3.1)
Imports: dplyr, magrittr, purrr, stats, tibble
License: GPL-2
URL: https://github.com/myaseen208/qccrs, https://myaseen208.github.io/qccrs/
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Note: Department of Mathematics and Statistics, University of Agriculture Faisalabad, Faisalabad-Pakistan.
Suggests: testthat
NeedsCompilation: no
Packaged: 2018-11-29 13:14:17 UTC; myaseen
Repository: CRAN
Date/Publication: 2018-12-03 19:50:03 UTC

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New package FAMoS with initial version 0.1.0
Package: FAMoS
Type: Package
Title: A Flexible Algorithm for Model Selection (FAMoS)
Version: 0.1.0
Author: Michael Gabel, Tobias Hohl
Maintainer: Michael Gabel <m_gabel@gmx.de>
Description: Given a set of parameters describing model dynamics and a corresponding cost function, FAMoS attempts to find the most suitable parameter subset in terms of a specified information criterion. Works on any cost function that returns a negative log-likelihood.
License: GPL-3
Depends: R (>= 3.4)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: future, R.utils
Suggests: future.batchtools, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-11-30 11:53:23 UTC; work
Repository: CRAN
Date/Publication: 2018-12-03 19:50:16 UTC

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New package ev.trawl with initial version 0.1.0
Package: ev.trawl
Type: Package
Title: Extreme Value Trawls
Version: 0.1.0
Author: Valentin Courgeau
Maintainer: Valentin Courgeau <valentin.courgeau15@imperial.ac.uk>
Description: Implementation of trawl processes and an extension of such processes into a univariate latent model for extreme values. Inference, simulation and initialization tools are available. See Noven et al. (2018) <DOI:10.21314/JEM.2018.179> which can be found on arXiv (<arXiv:1511.08190>) .
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Depends: R (>= 2.10)
Imports: testthat, fExtremes, hypergeo, stats, ghyp, evir, eva
NeedsCompilation: no
Packaged: 2018-11-29 15:44:01 UTC; Valentin
Repository: CRAN
Date/Publication: 2018-12-03 19:40:08 UTC

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Package dr4pl updated to version 1.1.7.4 with previous version 1.1.7.1 dated 2018-09-13

Title: Dose Response Data Analysis using the 4 Parameter Logistic (4pl) Model
Description: Models the relationship between dose levels and responses in a pharmacological experiment using the 4 Parameter Logistic model. Traditional packages on dose-response modelling such as 'drc' and 'nplr' often draw errors due to convergence failure especially when data have outliers or non-logistic shapes. This package provides robust estimation methods that are less affected by outliers and other initialization methods that work well for data lacking logistic shapes. We provide the bounds on the parameters of the 4PL model that prevent parameter estimates from diverging or converging to zero and base their justification in a statistical principle. These methods are used as remedies to convergence failure problems. Gadagkar, S. R. and Call, G. B. (2015) <doi:10.1016/j.vascn.2014.08.006> Ritz, C. and Baty, F. and Streibig, J. C. and Gerhard, D. (2015) <doi:10.1371/journal.pone.0146021>.
Author: Justin T. Landis [aut, cre], Hyowon An [aut], Aubrey G. Bailey [aut], Dirk P. Dittmer [aut], James S. Marron [aut]
Maintainer: Justin T. Landis <jtlandis314@gmail.com>

Diff between dr4pl versions 1.1.7.1 dated 2018-09-13 and 1.1.7.4 dated 2018-12-03

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New package emstreeR with initial version 2.0.0
Package: emstreeR
Type: Package
Title: Fast Computing Euclidean Minimum Spanning Trees
Version: 2.0.0
Date: 2018-11-15
Authors@R: c( person(given="Allan", family="Quadros", email = "allanvcq@gmail.com", role = c("aut", "cre")), person(given="Andre", family="Cancado", email = "cancado@unb.br", role = c("ctb")), person(given="Pedro", family="Brom", email = "pcbrom@gmail.com", role = c("ctb")), person(given="Eduardo", family="Hellas", email = "ehellas@gmail.com", role = c("ctb")) )
Description: Computes an Euclidean Minimum Spanning Tree using the Dual-Tree Boruvka algorithm (March, Ram, Gray, 2010, doi:<10.1145/1835804.1835882>) implemented in 'mlpack' - the C++ Machine Learning library (Curtin, 2005, <doi:10.21105/joss.00726>). 'emstreeR' works as a wrapper so that R users can benefit from the fast C++ function for computing an Euclidean Minimum Spanning Tree without touching the C++ code. The package also provides functions and an S3 method for readily plotting the Minimum Spanning Trees (MST) using either 'base' R, 'scatterplot3d' or 'ggplot2' style.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 0.12.18), scatterplot3d, ggplot2, BBmisc
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppMLPACK, RcppArmadillo, BH
BugReports: https://github.com/allanvc/emstreeR/issues
RoxygenNote: 6.1.0
NeedsCompilation: yes
Packaged: 2018-11-28 19:52:28 UTC; allan
Author: Allan Quadros [aut, cre], Andre Cancado [ctb], Pedro Brom [ctb], Eduardo Hellas [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>
Repository: CRAN
Date/Publication: 2018-12-03 19:40:12 UTC

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New package cvmgof with initial version 1.0.0
Title: Cramer-von Mises Goodness-of-Fit Tests
Package: cvmgof
Type: Package
Version: 1.0.0
Author: Romain Azais, Sandie Ferrigno and Marie-Jose Martinez
Maintainer: Romain Azais <romain.azais@inria.fr>
Description: It is devoted to Cramer-von Mises goodness-of-fit tests. It implements three statistical methods based on Cramer-von Mises statistics to estimate and test a regression model.
License: CeCILL
Encoding: UTF-8
LazyData: FALSE
Imports: lattice
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-11-29 12:48:23 UTC; romain
Repository: CRAN
Date/Publication: 2018-12-03 19:50:09 UTC

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New package BeyondBenford with initial version 1.0
Package: BeyondBenford
Type: Package
Title: Compare the Goodness of Fit of Benford's and Blondeau Da Silva's Digit Distributions to a Given Dataset
Version: 1.0
Date: 2018-11-17
Author: Blondeau Da Silva Stephane
Maintainer: Blondeau Da Silva Stephane <Stephane.Blondeau-Da-Silva@ac-limoges.fr>
Description: Allows to compare the goodness of fit of Benford's and Blondeau Da Silva's digit distributions in a dataset. It is used to check whether the data distribution is consistent with theoretical distributions highlighted by Blondeau Da Silva or not (through the dat.distr() function): this ideal theoretical distribution must be at least approximately followed by the data for the use of Blondeau Da Silva's model to be well-founded. It also enables to plot histograms of digit distributions, both observed in the dataset and given by the two theoretical approaches (with the digit.ditr() function). Finally, it proposes to quantify the goodness of fit via Pearson's chi-squared test (with the chi2() function).
License: GPL-2
NeedsCompilation: no
Packaged: 2018-11-29 09:02:33 UTC; anne
Repository: CRAN
Date/Publication: 2018-12-03 19:40:17 UTC

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New package aGE with initial version 0.0.9
Package: aGE
Type: Package
Title: Adaptive Set-Based Gene-Environment Interaction Test for Rare Variants
Version: 0.0.9
Description: Tests gene-environment interaction for rare genetic variants within the framework of adaptive sum of powered score test. The package includes two tests: adaptive gene-by-environment interaction test, and joint test for genetic main effects and gene-environment interaction. See Yang et al (2018) <doi:10.1002/sim.8037>.
Depends: R (>= 3.4)
License: GPL-3
Encoding: UTF-8
Imports: nlme, MASS, survey, stats
NeedsCompilation: no
Date: 2018-11-11
Packaged: 2018-11-20 04:55:49 UTC; yang
Authors@R: c(person("Tianzhong", "Yang", role = c("aut", "cre"), email = "tianzhong.yang@uth.tmc.edu"), person("Han", "Chen", role = "aut"), person("Peng", "Wei", role = "aut") )
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
Author: Tianzhong Yang [aut, cre], Han Chen [aut], Peng Wei [aut]
Maintainer: Tianzhong Yang <tianzhong.yang@uth.tmc.edu>
Repository: CRAN
Date/Publication: 2018-12-03 19:50:13 UTC

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Package refuge updated to version 0.3.0 with previous version 0.2.0 dated 2018-10-13

Title: Locate Trans and Intersex-Friendly Toilets
Description: Access the 'Refuge' API, a web-application for locating trans and intersex-friendly restrooms, including unisex and accessible restrooms. Includes data on the location of restrooms, along with directions, comments, user ratings and amenities. Coverage is global, but data is most comprehensive in the United States. See <https://www.refugerestrooms.org/api/docs/> for full API documentation.
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>)
Maintainer: Evan Odell <evanodell91@gmail.com>

Diff between refuge versions 0.2.0 dated 2018-10-13 and 0.3.0 dated 2018-12-03

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Package MODIStsp updated to version 1.3.7 with previous version 1.3.6 dated 2018-07-14

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] (<https://orcid.org/0000-0001-6207-5188>), Leah Wasser [rev] (Leah Wasser reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/184), Jeff Hanson [rev] (Jeff Hanson reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/184)
Maintainer: Lorenzo Busetto <lbusett@gmail.com>

Diff between MODIStsp versions 1.3.6 dated 2018-07-14 and 1.3.7 dated 2018-12-03

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Package mlt updated to version 1.0-4 with previous version 1.0-3 dated 2018-09-17

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt versions 1.0-3 dated 2018-09-17 and 1.0-4 dated 2018-12-03

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Package jackstraw updated to version 1.3 with previous version 1.2 dated 2018-08-07

Title: Statistical Inference for Unsupervised Learning
Description: Test for association between the observed data and their systematic patterns of variations. Systematic patterns may be captured by latent variables using principal component analysis (PCA), factor analysis (FA), and related methods. The jackstraw enables statistical testing for association between observed variables and latent variables, as captured by PCs or other estimates. Similarly, unsupervised clustering, such as K-means clustering, partition around medoids (PAM), and others, finds subpopulations among the observed variables. The jackstraw estimates statistical significance of cluster membership, including unsupervised evaluation of cell identities in single cell RNA-seq. P-values and posterior probabilities allows one to rigorously evaluate the strength of cluster membership assignments.
Author: Neo Christopher Chung <nchchung@gmail.com>, John D. Storey <jstorey@princeton.edu>, Wei Hao <whao@princeton.edu>
Maintainer: Neo Christopher Chung <nchchung@gmail.com>

Diff between jackstraw versions 1.2 dated 2018-08-07 and 1.3 dated 2018-12-03

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Package SoilHyP updated to version 0.1.2 with previous version 0.1.1 dated 2018-04-27

Title: Soil Hydraulic Properties
Description: Provides functions for (1) soil water retention (SWC) and unsaturated hydraulic conductivity (Ku) (van Genuchten-Mualem (vGM or vG) [1, 2], Peters-Durner-Iden (PDI) [3, 4, 5]), (2) fitting of parameter for SWC and/or Ku using Shuffled Complex Evolution (SCE) optimisation and (3) calculation of soil hydraulic properties (Ku and soil water contents) based on the simplified evaporation method (SEM) [6, 7]. Main references: [1] van Genuchten (1980) <doi:10.2136/sssaj1980.03615995004400050002x>, [2] Mualem (1976) <doi:10.1029/WR012i003p00513>, [3] Peters (2013) <doi:10.1002/wrcr.20548>, [4] Iden and Durner (2013) <doi:10.1002/2014WR015937>, [5] Peters (2014) <doi:10.1002/2014WR015937>, [6] Wind G. P. (1966) and [7] Peters and Durner (2008) <doi:10.1016/j.jhydrol.2008.04.016>.
Author: Ullrich Dettmann [aut, cre], Felix Andrews [ctb] (For the code copied from the hydromad::SCEoptim function (Version: 0.9-15) which is not on r-cran (https://github.com/floybix/hydromad). The SCEoptim function is adapted, and substantially revised from Brecht Donckels MATLAB code which is in turn adopted from Qingyun Duans MATLAB code), Brecht Donckels [ctb] (For the Matlab code which was adapted and reviesed in the hydromad::SCEoptim function.), Qingyun Duan [ctb] (For the MATLAB code adapted from Brecht Donkels.)
Maintainer: Ullrich Dettmann <ullrich.dettmann@thuenen.de>

Diff between SoilHyP versions 0.1.1 dated 2018-04-27 and 0.1.2 dated 2018-12-03

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Package vmsbase updated to version 2.2.0 with previous version 2.1.3 dated 2016-06-28

Title: GUI Tools to Process, Analyze and Plot Fisheries Data
Description: The tools you need to process, analyze, combine, integrate and plot your fishery data: the georeferenced dataset from the Vessel Monitoring System (VMS), from the Automatic Information System (AIS) or other tracking devices, as well as the catches or landings dataset from the Logbook or Vessel Register. Package 'vmsbase' is equipped by Viewer Tools to visually inspect data at different steps of the analyses and to produce effective outputs for reports and scientific publications. Viewers are conceived to show the VMS pings, to visualize single or multiple tracks for fishing vessels, or to represent the VMS data on Google Viewer, so that the user can produce easy to interpret and more realistic visualization of both fishing effort and effort behaviour. Package 'vmsbase' represents the implementation of several R routines which have been developed by the "Tor Vergata" University of Rome Team involved in the Italian National Program for the Data Collection Framework for Fisheries Data between 2009-2012.
Author: Lorenzo D'Andrea, Tommaso Russo, Antonio Parisi, Stefano Cataudella
Maintainer: Lorenzo D'Andrea <dandrea.lorenz@gmail.com>

Diff between vmsbase versions 2.1.3 dated 2016-06-28 and 2.2.0 dated 2018-12-03

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 R/editFun.R               |   41 -
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 R/fun_vms_db_clean.R      |  631 ++++++++++++++--------------
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 R/gui_lb_met_cla.R        |  449 ++++++++++----------
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 R/gui_vms_db_create.R     |   88 ++-
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 R/gui_vms_db_stat.R       |  741 ++++++++++++++++-----------------
 R/gui_vms_editraw.R       |  380 +++++++++--------
 R/gui_vms_met_pred.R      |  896 ++++++++++++++++++++++------------------
 R/gui_vms_save_bat.R      |  190 ++++----
 R/gui_vms_view_intrp.R    |  414 +++++++++---------
 R/gui_vms_view_ping.R     |  262 ++++++-----
 R/gui_vms_view_track.R    |  364 ++++++++--------
 R/gui_vms_viz_adv.R       |  709 +++++++++++++++-----------------
 R/internal.R              |   37 -
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 R/reference_classes.R     |  708 ++++++++++++++++----------------
 R/saveRawLogBook.R        |  287 ++++++-------
 R/saveRawVms.R            |  525 ++++++++++-------------
 R/vmsbase.R               |   20 
 R/zzz.R                   |    9 
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 man/CountMap.Rd           |    1 
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 man/gui_dcf_ind.Rd        |    1 
 man/gui_join_lb_vms.Rd    |    1 
 man/gui_lb_db_create.Rd   |    3 
 man/gui_lb_db_edit.Rd     |    3 
 man/gui_lb_db_stat.Rd     |    1 
 man/gui_lb_editraw.Rd     |    5 
 man/gui_lb_met_cla.Rd     |    1 
 man/gui_lb_met_dis.Rd     |    1 
 man/gui_lb_met_edi.Rd     |    3 
 man/gui_main.Rd           |    1 
 man/gui_mark_fis_poi.Rd   |    1 
 man/gui_out_grid.Rd       |    3 
 man/gui_vms_db_are.Rd     |    1 
 man/gui_vms_db_clean.Rd   |   17 
 man/gui_vms_db_create.Rd  |    3 
 man/gui_vms_db_cut.Rd     |   10 
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 man/gui_vms_db_sel.Rd     |   10 
 man/gui_vms_db_stat.Rd    |   10 
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 man/gui_vms_save_bat.Rd   |   10 
 man/gui_vms_view_intrp.Rd |   10 
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 man/gui_vms_viz_adv.Rd    |   10 
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 man/latsex2dec.Rd         |    3 
 man/lonsex2dec.Rd         |    3 
 man/plotNet.Rd            |    1 
 man/rad2deg.Rd            |    3 
 man/saveRawLogBook.Rd     |    1 
 man/saveRawVms.Rd         |    1 
 man/vmsbase.Rd            |    7 
 83 files changed, 7280 insertions(+), 7076 deletions(-)

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Package semds updated to version 0.9-6 with previous version 0.9-5 dated 2018-07-21

Title: Structural Equation Multidimensional Scaling
Description: Fits a structural equation multidimensional scaling (SEMDS) model for asymmetric and three-way input dissimilarities. It assumes that the dissimilarities are measured with errors. The latent dissimilarities are estimated as factor scores within an SEM framework while the objects are represented in a low-dimensional space as in MDS.
Author: Patrick Mair [aut, cre], Jose Fernando Vera [aut]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

Diff between semds versions 0.9-5 dated 2018-07-21 and 0.9-6 dated 2018-12-03

 DESCRIPTION         |    8 ++++----
 MD5                 |   16 ++++++++++------
 data/BrahmsNorm.rda |binary
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 11 files changed, 25 insertions(+), 39 deletions(-)

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Package MM2S (with last version 1.0.5) was removed from CRAN

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

2016-02-24 1.0.5
2015-11-02 1.0.4
2015-08-12 1.0.3
2015-07-08 1.0.2
2015-06-17 1.0.1
2015-06-11 1.0.0

Permanent link
Package gmat updated to version 0.2.0 with previous version 0.1.0 dated 2018-07-19

Title: Simulation of Graphically Constrained Matrices
Description: Simulation of positive definite matrices constrained by an undirected or acyclic directed graph structure.
Author: Irene Córdoba [aut, cre] (<https://orcid.org/0000-0002-3252-4234>), Gherardo Varando [aut] (<https://orcid.org/0000-0002-6708-1103>), Concha Bielza [ths] (<https://orcid.org/0000-0001-7109-2668>), Pedro Larrañaga [ths] (<https://orcid.org/0000-0003-0652-9872>)
Maintainer: Irene Córdoba <irene.cordoba@upm.es>

Diff between gmat versions 0.1.0 dated 2018-07-19 and 0.2.0 dated 2018-12-03

 gmat-0.1.0/gmat/R/functions.R                 |only
 gmat-0.1.0/gmat/man/rgmat.Rd                  |only
 gmat-0.1.0/gmat/tests/testthat/test_rgmat.R   |only
 gmat-0.2.0/gmat/DESCRIPTION                   |   16 ++--
 gmat-0.2.0/gmat/MD5                           |   25 ++++--
 gmat-0.2.0/gmat/NAMESPACE                     |   15 ++-
 gmat-0.2.0/gmat/NEWS.md                       |only
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 gmat-0.2.0/gmat/tests/testthat/test_cov_ug.R  |only
 gmat-0.2.0/gmat/tests/testthat/test_utils.R   |only
 22 files changed, 109 insertions(+), 53 deletions(-)

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New package PeakSegDisk with initial version 2018.11.28
Package: PeakSegDisk
Type: Package
Title: Disk-Based Implementation of PeakSegFPOP
Version: 2018.11.28
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>
Description: Disk-based implementation of Functional Pruning Optimal Partitioning with up-down constraints <arXiv:1810.00117> for single-sample peak calling (independently for each sample and genomic problem), can handle huge data sets (10^7 or more).
License: GPL-3
Depends: R (>= 2.10)
Imports: data.table (>= 1.9.8), parallel
Suggests: testthat, ggplot2, penaltyLearning
NeedsCompilation: yes
Packaged: 2018-11-28 19:07:33 UTC; tdhock
Repository: CRAN
Date/Publication: 2018-12-03 12:42:36 UTC

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New package mlergm with initial version 0.1
Package: mlergm
Title: Multilevel Exponential-Family Random Graph Models
Version: 0.1
Authors@R: c( person("Jonathan", "Stewart", email = "jonathan.stewart@rice.edu", role = c("cre", "aut")), person("Michael", "Schweinberger", email = "michael.schweinberger@rice.edu", role = c("ctb")))
Description: Estimates exponential-family random graph models for multilevel network data, assuming the multilevel structure is observed. The scope, at present, covers multilevel models where the set of nodes is nested within known blocks. The estimation method uses Monte-Carlo maximum likelihood estimation (MCMLE) methods to estimate a variety of canonical or curved exponential family models for binary random graphs. MCMLE methods for curved exponential-family random graph models can be found in Hunter and Handcock (2006) <DOI: 10.1198/106186006X133069>. The package supports parallel computing, and provides methods for assessing goodness-of-fit of models and visualization of networks.
Depends: R (>= 3.5.0), ergm, network
Imports: parallel, Matrix, stringr, stats, GGally, ggplot2, cowplot, reshape2, plyr, methods, graphics, sna
Suggests: RColorBrewer, knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-11-28 22:39:17 UTC; jstew
Author: Jonathan Stewart [cre, aut], Michael Schweinberger [ctb]
Maintainer: Jonathan Stewart <jonathan.stewart@rice.edu>
Repository: CRAN
Date/Publication: 2018-12-03 12:10:03 UTC

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New package clr with initial version 0.1.0
Package: clr
Type: Package
Title: Curve Linear Regression via Dimension Reduction
Version: 0.1.0
Author: Amandine Pierrot with contributions and/or help from Qiwei Yao, Haeran Cho, Yannig Goude and Tony Aldon.
Maintainer: Amandine Pierrot <amandine.m.pierrot@gmail.com>
Copyright: EDF R&D 2017
Description: A new methodology for linear regression with both curve response and curve regressors, which is described in Cho, Goude, Brossat and Yao (2013) <doi:10.1080/01621459.2012.722900> and (2015) <doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is dimension reduction based on a singular value decomposition in a Hilbert space, which reduces the curve regression problem to several scalar linear regression problems.
License: LGPL (>= 2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
Imports: magrittr, lubridate, dplyr, stats
NeedsCompilation: no
Packaged: 2018-11-28 23:16:59 UTC; amandinepierrot
Repository: CRAN
Date/Publication: 2018-12-03 12:12:44 UTC

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New package ical with initial version 0.1.5
Package: ical
Type: Package
Title: 'iCalendar' Parsing
Version: 0.1.5
Date: 2018-11-27
Author: c( person( "Peter", "Meissner", role = c("aut", "cre"), email = "retep.meissner@gmail.com" ), person( "Philipp", "Kewisch", role = "cph", comment = "Ical.js file is is licences under MPL. Source: https://github.com/mozilla-comm/ical.js" ) )
Maintainer: Peter Meissner <retep.meissner@gmail.com>
Description: A simple wrapper around the 'ical.js' library executing 'Javascript' code via 'V8' (the 'Javascript' engine driving the 'Chrome' browser and 'Node.js' and accessible via the 'V8' R package). This package enables users to parse 'iCalendar' files ('.ics', '.ifb', '.iCal', '.iFBf') into lists and 'data.frames' to ultimately do statistics on events, meetings, schedules, birthdays, and the like.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: V8 (>= 1.5)
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2018-11-27 20:48:38 UTC; peter
Repository: CRAN
Date/Publication: 2018-12-03 11:22:41 UTC

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Package fbar updated to version 0.5.2 with previous version 0.4.3 dated 2018-04-03

Title: An Extensible Approach to Flux Balance Analysis
Description: A simple package for Flux Balance Analysis and related metabolic modeling techniques. Functions are provided for: parsing models in tabular format, converting parsed metabolic models to input formats for common linear programming solvers, and evaluating and applying gene-protein-reaction mappings. In addition, there are wrappers to parse a model, select a solver, find the metabolic fluxes, and return the results applied to the original model. Compared to other packages in this field, this package puts a much heavier focus on providing reusable components that can be used in the design of new implementation of new techniques, in particular those that involve large parameter sweeps.
Author: Max Conway [aut, cre]
Maintainer: Max Conway <conway.max1@gmail.com>

Diff between fbar versions 0.4.3 dated 2018-04-03 and 0.5.2 dated 2018-12-03

 DESCRIPTION                                           |   13 
 MD5                                                   |   43 -
 NEWS.md                                               |    9 
 R/metabolite_utilities.R                              |    4 
 R/parsing_and_conversion.R                            |    9 
 R/utilities.R                                         |   33 -
 build/vignette.rds                                    |binary
 inst/WORDLIST                                         |only
 inst/doc/Introduction.html                            |  379 ++++---------
 inst/doc/Multi-Objective_Optimization_case_study.R    |   15 
 inst/doc/Multi-Objective_Optimization_case_study.Rmd  |   15 
 inst/doc/Multi-Objective_Optimization_case_study.html |  506 ++++++------------
 inst/doc/Tutorial.html                                |  451 ++++++----------
 man/expanded_to_ROI.Rd                                |    1 
 man/expanded_to_glpk.Rd                               |    1 
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 tests/spelling.R                                      |only
 tests/testthat/test-utilities.R                       |   12 
 vignettes/Multi-Objective_Optimization_case_study.Rmd |   15 
 24 files changed, 593 insertions(+), 923 deletions(-)

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New package DIMORA with initial version 0.1.0
Package: DIMORA
Date: 2018-11-25
Type: Package
Title: Diffusion Models R Analysis
Version: 0.1.0
Author: Zanghi Federico
Depends: R (>= 3.1.0), minpack.lm, numDeriv, stats
Maintainer: Zanghi Federico <federico.zanghi@studenti.unipd.it>
Description: The implemented methods are: Bass Standard model, Bass Generalized model (with rectangular shock, exponential shock, mixed shock and armonic shock. You can choose to add from 1 to 3 shocks), Guseo-Guidolin model and Variable Potential Market model. The Bass model consists of a simple differential equation that describes the process of how new products get adopted in a population, the Generalized Bass model is a generalization of the Bass model in which there is a "carrier" function x(t) that allows to change the speed of time sliding. In some real processes the reachable potential of the resource available in a temporal instant may appear to be not constant over time, because of this we use Variable Potential Market model, in which the Guseo-Guidolin has a particular specification for the market function.
Encoding: UTF-8
License: GPL | file LICENSE
RoxygenNote: 6.1.0.9000
NeedsCompilation: no
Packaged: 2018-11-26 15:24:14 UTC; federicozanghi
Repository: CRAN
Date/Publication: 2018-12-03 11:03:09 UTC

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New package twosamples with initial version 1.0.0
Package: twosamples
Type: Package
Title: Fast Permutation Based Two Sample Tests
Version: 1.0.0
Author: Connor Dowd
Maintainer: Connor Dowd <cdowd@chicagobooth.edu>
Description: Fast randomization based two sample tests. Testing the hypothesis that two samples come from the same distribution using randomization to create p-values. Included tests are: Kolmogorov-Smirnov, Kuiper, Cramer-von Mises, and Anderson-Darling. There is also a very efficient test based on the Wasserstein Distance. The default test 'two_sample' builds on the Wasserstein distance by using a weighting scheme like that of Anderson-Darling. We also include the permutation scheme to make test building simple for others.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.17)
LinkingTo: Rcpp
RoxygenNote: 6.1.1
URL: https://github.com/cdowd/twosamples
BugReports: https://github.com/cdowd/twosamples/issues
NeedsCompilation: yes
Packaged: 2018-11-21 15:44:35 UTC; connorjdowd
Repository: CRAN
Date/Publication: 2018-12-03 09:30:03 UTC

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New package tabula with initial version 1.0.0
Package: tabula
Title: Analysis, Seriation and Visualization of Archaeological Count Data
Version: 1.0.0
Date: 2018-11-22
Authors@R: c(person("Nicolas", "Frerebeau", email = "data@archaeo.science", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0001-5759-4944")), person("Brice", "Lebrun", email = "brice.lebrun@u-bordeaux-montaigne.fr", role = c("ctb"), comment = c(ORCID = "https://orcid.org/0000-0001-7503-8685")), person("Matthew", "Peeples", email = "matthew.peeples@asu.edu", role = c("ctb"), comment = c(ORCID = "https://orcid.org/0000-0003-4496-623X")) )
Maintainer: Nicolas Frerebeau <data@archaeo.science>
Description: An easy way to examine archaeological count data (artifacts, faunal remains, etc.). This package includes several measures of diversity, e.g. richness, rarefaction, diversity, turnover, similarity, etc. It also provides matrix seriation methods for chronological modeling and dating. The package make it easy to visualize count data and statistical thresholds: rank/abundance plots, Ford and Bertin diagrams, etc.
URL: http://github.com/nfrerebeau/tabula
BugReports: http://github.com/nfrerebeau/tabula/issues
Depends: R (>= 3.4)
License: GPL-3
Encoding: UTF-8
LazyData: true
Collate: 'utilities.R' 'tabula.R' 'AllClasses.R' 'AllGenerics.R' 'LogicalMatrix.R' 'NumericMatrix.R' 'index-richness.R' 'index-diversity.R' 'alpha-diversity.R' 'index-turnover.R' 'index-similarity.R' 'beta-diversity.R' 'data.R' 'method-seriation.R' 'statistics.R' 'plot.R' 'seriation.R'
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown
Imports: dplyr (>= 0.7), FactoMineR, ggplot2 (>= 3.0.0), grDevices, magrittr, methods, rlang, stats, tidyr, utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-11-22 17:10:58 UTC; nicolas
Author: Nicolas Frerebeau [aut, cre] (<https://orcid.org/0000-0001-5759-4944>), Brice Lebrun [ctb] (<https://orcid.org/0000-0001-7503-8685>), Matthew Peeples [ctb] (<https://orcid.org/0000-0003-4496-623X>)
Repository: CRAN
Date/Publication: 2018-12-03 09:40:03 UTC

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New package solartime with initial version 0.0.1
Package: solartime
Title: Utilities Dealing with Solar Time Such as Sun Position and Time of Sunrise
Version: 0.0.1
Author: Thomas Wutzler
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>
Description: Provide utilities to work with solar time, i.e. where noon is exactly when sun culminates. Provides functions for computing sun position and times of sunrise and sunset.
Depends: R (>= 3.2.0)
URL: https://github.com/bgctw/solartime
Imports: lubridate
Suggests: testthat, knitr
License: GPL-3
LazyLoad: yes
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-11-22 09:12:42 UTC; twutz
Repository: CRAN
Date/Publication: 2018-12-03 09:30:06 UTC

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New package RProbSup with initial version 1.0
Package: RProbSup
Type: Package
Title: Calculates Probability of Superiority
Version: 1.0
Author: John Ruscio
Maintainer: John Ruscio <ruscio@tcnj.edu>
Description: The A() function calculates the A statistic, a nonparametric measure of effect size for two independent groups that’s also known as the probability of superiority (Ruscio, 2008), along with its standard error and a confidence interval constructed using bootstrap methods (Ruscio & Mullen, 2012). Additional functions are provided to calculate variants of the A statistic developed for other research designs (e.g., related samples, more than two independent groups or related samples; Ruscio & Gera, 2013). <DOI: 10.1037/1082-989X.13.1.19>. <DOI: 10.1080/00273171.2012.658329>. <DOI: 10.1080/00273171.2012.738184>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-11-22 16:56:17 UTC; oliviaortelli
Repository: CRAN
Date/Publication: 2018-12-03 09:32:48 UTC

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New package remedy with initial version 0.1.0
Package: remedy
Title: 'RStudio' Addins to Simplify 'Markdown' Writing
Version: 0.1.0
Authors@R: c(person("Colin", "Fay", email = "contact@colinfay.me", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7343-1846")), person("Jonathan", "Sidi", email = "yonicd@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0002-4222-1819")), person("Luke", "Smith", email = "luke@protocolvital.info", role = c("aut"), comment = "author of seasmith/AlignAssign"), person("Jonathan", "Carroll", email = "rpkg@jcarroll.com.au", role = c("ctb"), comment = c(ORCID = "0000-0002-1404-5264")), person("Andrzej", "Oleś", email = "andrzej.oles@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0003-0285-2787")), person("Daniel", "Possenriede", email = "possenriede@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0002-6738-9845")))
Description: An 'RStudio' addin providing shortcuts for writing in 'Markdown'. This package provides a series of functions that allow the user to be more efficient when using 'Markdown'. For example, you can select a word, and put it in bold or in italics, or change the alignment of elements inside you Rmd. The idea is to map all the functionalities from 'remedy' on keyboard shortcuts, so that it provides an interface close to what you can find in any other text editor.
License: MIT + file LICENSE
URL: https://github.com/ThinkR-open/remedy
BugReports: https://github.com/ThinkR-open/remedy/issues
Imports: knitr, rstudioapi, rematch2, utils, stats
Suggests: testthat, rmarkdown
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-11-22 16:23:08 UTC; colin
Author: Colin Fay [aut, cre] (<https://orcid.org/0000-0001-7343-1846>), Jonathan Sidi [aut] (<https://orcid.org/0000-0002-4222-1819>), Luke Smith [aut] (author of seasmith/AlignAssign), Jonathan Carroll [ctb] (<https://orcid.org/0000-0002-1404-5264>), Andrzej Oleś [ctb] (<https://orcid.org/0000-0003-0285-2787>), Daniel Possenriede [ctb] (<https://orcid.org/0000-0002-6738-9845>)
Maintainer: Colin Fay <contact@colinfay.me>
Repository: CRAN
Date/Publication: 2018-12-03 09:20:03 UTC

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New package pkgcond with initial version 0.1.0
Package: pkgcond
Type: Package
Title: Classed Error and Warning Conditions
Version: 0.1.0
Authors@R: c( person("Andrew", "Redd", email="Andrew.Redd@hsc.utah.edu", role=c("aut", "cre")), person("R Documentation Task Force", role=c("aut")) )
Maintainer: Andrew Redd <Andrew.Redd@hsc.utah.edu>
Description: This provides utilities for creating classed error and warning conditions based on where the error originated.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.5.0)
Imports: methods
Suggests: covr, testthat
Enhances: assertthat
RoxygenNote: 6.1.1
Language: en-US
Collate: 'assert_that.R' 'conditions.R' 'comma_list.R' 'find_scope.R' 'infix.R' 'skip_scope.R' 'suppress.R' 'translate.R'
URL: https://github.com/RDocTaskForce/pkgcond
BugReports: https://github.com/RDocTaskForce/pkgcond/issues
NeedsCompilation: no
Packaged: 2018-11-26 22:39:01 UTC; u0092104
Author: Andrew Redd [aut, cre], R Documentation Task Force [aut]
Repository: CRAN
Date/Publication: 2018-12-03 10:40:03 UTC

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New package PKconverter with initial version 1.3
Package: PKconverter
Type: Package
Title: The Parameter Converter of the Pharmacokinetic Models
Version: 1.3
Author: Eun-Kyung Lee, Hye-sun Cho
Maintainer: Eun-Kyung Lee <lee.eunk@gmail.com>
Description: Pharmacokinetics is the study of drug absorption, distribution, metabolism, and excretion. The pharmacokinetics model explains that how the drug concentration change as the drug moves through the different compartments of the body. For pharmacokinetic modeling and analysis, it is essential to understand the basic pharmacokinetic parameters. All parameters are considered, but only some of parameters are used in the model. Therefore, we need to convert the estimated parameters to the other parameters after fitting the specific pharmacokinetic model. This package is developed to help this converting work. For more detailed explanation of pharmacokinetic parameters, see "Gabrielsson and Weiner" (2007), "ISBN-10: 9197651001"; "Benet and Zia-Amirhosseini" (1995) <DOI: 10.1177/019262339502300203>; "Mould and Upton" (2012) <doi:10.1038/psp.2012.4>; "Mould and Upton" (2013) <doi:10.1038/psp.2013.14>.
License: GPL (>= 2)
Imports: shiny, shinythemes, shinydashboard
LazyData: true
Encoding: UTF-8
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-11-23 07:59:40 UTC; leeeu
Repository: CRAN
Date/Publication: 2018-12-03 09:52:49 UTC

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Package moveVis updated to version 0.9.9 with previous version 0.9.8 dated 2018-09-14

Title: Movement Data Visualization
Description: Tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <movevis@schwalb-willmann.de>

Diff between moveVis versions 0.9.8 dated 2018-09-14 and 0.9.9 dated 2018-12-03

 DESCRIPTION                          |   10 +++----
 MD5                                  |   18 ++++++------
 NAMESPACE                            |    9 +++++-
 NEWS.md                              |   18 ++++++++++++
 R/animate_move.R                     |   50 ++++++++++++++---------------------
 R/moveVis-internal.R                 |   48 +++++++++++++++++++++++++++++++++
 man/animate_move.Rd                  |   15 +++++++---
 tests/testthat/test-animate_move.R   |    2 +
 tests/testthat/test-animate_raster.R |    4 ++
 tests/testthat/test-get_libraries.R  |    1 
 10 files changed, 126 insertions(+), 49 deletions(-)

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New package npExact with initial version 0.2
Package: npExact
Type: Package
Title: Exact Nonparametric Hypothesis Tests for the Mean, Variance and Stochastic Inequality
Version: 0.2
Date: 2018-11-12
Authors@R: c( person(given = "Oliver", family = "Reiter", role = c("cre", "aut"), comment = c(ORCID = "0000-0001-6338-5428"), email = "oliver.reiter@snapdragon.cc"), person(given = "Karl", family = "Schlag", role = c("aut"), email = "karl.schlag@univie.ac.at"), person(given = "Peter", family = "Saffert", role = "ctb"), person(given = "Christian", family = "Pechhacker", role = "ctb"), person(given = "Simona", family = "Jokubauskaite", role = "ctb"), person(given = "Tautvilas", family = "Janusauskas", role = "ctb"))
Description: Provides several novel exact hypothesis tests with minimal assumptions on the errors. The tests are exact, meaning that their p-values are correct for the given sample sizes (the p-values are not derived from asymptotic analysis). The test for stochastic inequality is for ordinal comparisons based on two independent samples and requires no assumptions on the errors. The other tests include tests for the mean and variance of a single sample and comparing means in independent samples. All these tests only require that the data has known bounds (such as percentages that lie in [0,100]. These bounds are part of the input.
Depends: R (>= 3.2)
Imports: stats
Suggests: testthat
URL: https://github.com/zauster/npExact
BugReports: https://github.com/zauster/npExact/issues
License: GPL-2
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2018-11-09 18:23:11 UTC; reitero
Author: Oliver Reiter [cre, aut] (<https://orcid.org/0000-0001-6338-5428>), Karl Schlag [aut], Peter Saffert [ctb], Christian Pechhacker [ctb], Simona Jokubauskaite [ctb], Tautvilas Janusauskas [ctb]
Maintainer: Oliver Reiter <oliver.reiter@snapdragon.cc>
Repository: CRAN
Date/Publication: 2018-12-03 09:10:03 UTC

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New package mixRaschTools with initial version 1.1
Package: mixRaschTools
Title: Plotting and Average Theta Functions for Multiple Class Mixed Rasch Models
Version: 1.1
Authors@R: c(person("Pamela", "Trantham", role = c("aut", "cre"), email = "pamelapsc@yahoo.com"))
Author: Pamela Trantham [aut, cre]
Description: Provides supplemental functions for the 'mixRasch' package (Willse, 2014), <https://cran.r-project.org/package=mixRasch/mixRasch.pdf> including a plotting function to compare item parameters for multiple class models and a function that provides average theta values for each class in a mixture model.
Depends: R (>= 3.3.0)
License: GPL
Encoding: UTF-8
LazyData: true
Imports: graphics
Suggests: knitr, rmarkdown, mixRasch, testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-11-25 18:52:55 UTC; pamela
Maintainer: Pamela Trantham <pamelapsc@yahoo.com>
Repository: CRAN
Date/Publication: 2018-12-03 10:10:03 UTC

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New package misaem with initial version 0.9.0
Package: misaem
Title: Stochastic Approximation EM for Logistic Regression with Missing Values
Version: 0.9.0
Date: 2018-11-26
Authors@R: person("Wei", "Jiang", email = "wei.jiang@polytechnique.edu", role = c("aut", "cre"))
Description: Estimate parameters of logistic regression with missing data and perform model selection, using algorithm Stochastic Approximation EM.
Depends: R (>= 3.4.0)
Encoding: UTF-8
License: GPL-3
URL: https://github.com/wjiang94/misaem.git
Imports: magrittr, mvtnorm, stats, MASS
Suggests: knitr, rmarkdown
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-11-27 11:02:25 UTC; wjiang
Author: Wei Jiang [aut, cre]
Maintainer: Wei Jiang <wei.jiang@polytechnique.edu>
Repository: CRAN
Date/Publication: 2018-12-03 10:50:03 UTC

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New package icsurvROC with initial version 0.1.0
Package: icsurvROC
Type: Package
Title: Interval Censored Survival ROC
Version: 0.1.0
Author: Yunro Chung [cre]
Maintainer: Yunro Chung <yunro.chung@asu.edu>
Description: Nonparametric and semiparametric estimations of the time-dependent ROC curve for the interval-censored failure time data.
Depends: R (>= 3.5.0), survival, Iso, icenReg
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-11-25 22:10:20 UTC; roy
Repository: CRAN
Date/Publication: 2018-12-03 10:22:41 UTC

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New package GENMETA with initial version 0.1
Package: GENMETA
Title: Implements Generalized Meta-Analysis Using Iterated Reweighted Least Squares Algorithm
Version: 0.1
Authors@R: c(person("Prosenjit", "Kundu", role = c("aut", "cre"), email = "pkundu@jhu.edu"), person("Runlong", "Tang", role = "aut"), person("Nilanjan", "Chatterjee", role = "aut"))
Description: Generalized meta-analysis is a technique for estimating parameters associated with a multiple regression model through meta-analysis of studies which may have information only on partial sets of the regressors. It estimates the effects of each variable while fully adjusting for all other variables that are measured in at least one of the studies. Using algebraic relationships between regression parameters in different dimensions, a set of moment equations is specified for estimating the parameters of a maximal model through information available on sets of parameter estimates from a series of reduced models available from the different studies. The specification of the equations requires a reference dataset to estimate the joint distribution of the covariates. These equations are solved using the generalized method of moments approach, with the optimal weighting of the equations taking into account uncertainty associated with estimates of the parameters of the reduced models. The proposed framework is implemented using iterated reweighted least squares algorithm for fitting generalized linear regression models. For more details about the method, please see pre-print version of the manuscript on generalized meta-analysis by Prosenjit Kundu, Runlong Tang and Nilanjan Chatterjee (2018) <arXiv:1708.03818>.
Depends: R (>= 2.15.3), MASS, graphics
Imports: Matrix, magic
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'myoptim.R' 'sign.star.R' 'GENMETA.R' 'GENMETA.control.R' 'GENMETA.summary.R' 'GENMETA.plot.R'
NeedsCompilation: no
Packaged: 2018-11-21 20:37:35 UTC; prosenjitkundu
Author: Prosenjit Kundu [aut, cre], Runlong Tang [aut], Nilanjan Chatterjee [aut]
Maintainer: Prosenjit Kundu <pkundu@jhu.edu>
Repository: CRAN
Date/Publication: 2018-12-03 09:10:07 UTC

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New package customsteps with initial version 0.7.1.0
Package: customsteps
Title: Customizable Higher-Order Recipe Step Functions
Version: 0.7.1.0
Authors@R: person("Lars", "Kjeldgaard", email = "lars_kjeldgaard@hotmail.com", role = c("aut", "cre"))
Description: Customizable higher-order recipe step functions for the 'recipes' package. These step functions take 'prep' and 'bake' helper functions as inputs and create specifications of customized recipe steps as output.
URL: https://github.com/smaakage85/customsteps
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Imports: recipes, dplyr, tibble, magrittr, purrr, tidyselect, methods, generics, rlang
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-11-25 19:03:11 UTC; lars_
Author: Lars Kjeldgaard [aut, cre]
Maintainer: Lars Kjeldgaard <lars_kjeldgaard@hotmail.com>
Repository: CRAN
Date/Publication: 2018-12-03 10:12:42 UTC

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New package CpDyna with initial version 1.0
Package: CpDyna
Type: Package
Title: Change Point Detection in Dynamic Graphs
Version: 1.0
Date: 2018-11-08
Author: Marco Corneli, Pierre Latouche, Fabrice Rossi, Margot Selosse
Maintainer: Margot Selosse <margot.selosse@gmail.com>
Description: Implementation of a model-based approach for clustering and multiple change points in dynamic graphs (Marco Corneli, Pierre Latouche and Fabrice Rossi (2018) <doi.org/10.1007/s11222-017-9775-1>).
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.17), mclust, RColorBrewer, igraph
LinkingTo: Rcpp, RcppProgress, RcppArmadillo
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, mapview, sp
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2018-11-22 10:03:36 UTC; margot
Depends: R (>= 2.10)
RoxygenNote: 6.1.0
Repository: CRAN
Date/Publication: 2018-12-03 09:10:11 UTC

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New package CopCTS with initial version 1.0.0
Package: CopCTS
Type: Package
Title: Copula-Based Semiparametric Analysis for Time Series Data with Detection Limits
Version: 1.0.0
Author: Fuyuan David Li
Maintainer: Fuyuan David Li <LFY@gwmail.gwu.edu>
Description: Semiparametric estimation for censored time series with lower detection limit. The latent response is a sequence of stationary process with Markov property of order one. Estimation of copula parameter(COPC) and Conditional quantile estimation are included for five available copula functions. Copula selection methods based on L2 distance from empirical copula function are also included.
Depends: copula
Imports: msm,copBasic,methods
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-11-27 15:02:18 UTC; lfy
Repository: CRAN
Date/Publication: 2018-12-03 10:52:46 UTC

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New package cglm with initial version 1.0
Package: cglm
Type: Package
Title: Fits Conditional Generalized Linear Models
Version: 1.0
Date: 2018-11-26
Author: Arvid Sjolander
Maintainer: Arvid Sjolander <arvid.sjolander@ki.se>
Description: Estimates the ratio of the regression coefficients and the dispersion parameter in conditional generalized linear models for clustered data.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.18), stats, nleqslv, data.table
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2018-11-26 07:17:23 UTC; arvsjo
Repository: CRAN
Date/Publication: 2018-12-03 10:32:41 UTC

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New package argonDash with initial version 0.1.0
Package: argonDash
Type: Package
Title: Argon Shiny Dashboard Template
Version: 0.1.0
Authors@R: c( person("David", "Granjon", email = "dgranjon@ymail.com", role = c("aut", "cre")), person(family = "RinteRface", role = "cph"), person(family = "Creative Tim", role = c("ctb", "cph"), comment = "Argon theme for Bootstrap 4"))
Maintainer: David Granjon <dgranjon@ymail.com>
Description: Create awesome 'Bootstrap 4' dashboards powered by 'Argon'. See more here <https://rinterface.github.io/argonDash/>.
License: GPL-2
Imports: shiny, htmltools, argonR
Suggests: magrittr
URL: https://github.com/RinteRface/argonDash
BugReports: https://github.com/RinteRface/argonDash/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2018-11-21 10:49:12 UTC; davidgranjon
Author: David Granjon [aut, cre], RinteRface [cph], Creative Tim [ctb, cph] (Argon theme for Bootstrap 4)
Repository: CRAN
Date/Publication: 2018-12-03 09:20:07 UTC

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Package funcy (with last version 1.0.0) was removed from CRAN

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

2018-07-29 1.0.0
2018-06-25 0.9.0

Permanent link
Package Funclustering (with last version 1.0.2) was removed from CRAN

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

2018-11-24 1.0.2
2014-01-15 1.0.1

Permanent link
Package MazamaCoreUtils updated to version 0.1.3 with previous version 0.1.1 dated 2018-10-26

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, and cache management.
Author: Jonathan Callahan [aut, cre], Thomas Bergamaschi [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaCoreUtils versions 0.1.1 dated 2018-10-26 and 0.1.3 dated 2018-12-03

 DESCRIPTION                    |   10 
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Package featurefinder updated to version 1.1 with previous version 1.0 dated 2018-04-06

Title: Feature Finder
Description: Finds modelling features through a detailed analysis of model residuals using 'rpart' classification and regression trees. Scans the residuals of a model across subsets of the data to identify areas where the model prediction differs from the actual target variable. S. Chatterjee, A. S. Hadi (2006) <doi:10.1002/0470055464>.
Author: Richard Davis [aut, cre]
Maintainer: Richard Davis <davisconsulting@gmail.com>

Diff between featurefinder versions 1.0 dated 2018-04-06 and 1.1 dated 2018-12-03

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Package episensr updated to version 0.9.3 with previous version 0.9.2 dated 2017-11-13

Title: Basic Sensitivity Analysis of Epidemiological Results
Description: Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows the bias analysis methods and examples from the book by Lash T.L, Fox M.P, and Fink A.K. "Applying Quantitative Bias Analysis to Epidemiologic Data", ('Springer', 2009).
Author: Denis Haine [aut, cre] (<https://orcid.org/0000-0002-6691-7335>)
Maintainer: Denis Haine <denis.haine@gmail.com>

Diff between episensr versions 0.9.2 dated 2017-11-13 and 0.9.3 dated 2018-12-03

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Package copBasic updated to version 2.1.1 with previous version 2.1.0 dated 2018-05-07

Title: General Bivariate Copula Theory and Many Utility Functions
Description: Extensive functions for bivariate copula (bicopula) computations and related operations concerning oft cited bicopula theory described by Nelsen (2006), Joe (2014), and other selected works. The lower, upper, product, and select other bicopula are implemented. Arbitrary bicopula expressions include the diagonal, survival copula, the dual of a copula, co-copula, numerical bicopula density, and maximum likelihood estimation. Level curves (sets), horizontal and vertical sections also are supported. Numerical derivatives and inverses of a bicopula are provided; simulation by the conditional distribution method thus is supported. Bicopula composition, convex combination, and products are provided. Support extends to Kendall Function as well as the Lmoments thereof, Kendall Tau, Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer-Wolff Sigma, tail dependency (including pseudo-polar representation) and tail order, skewness, and bivariate Lmoments. Evaluators of positively/negatively quadrant dependency, left increasing and right decreasing are available. Kullback-Leibler divergence, Vuong's procedure, Spectral Measure, and Lcomoments for copula inference are available. Quantile and median regressions for V with respect to U and U with respect to V are available. Empirical copulas (EC) are supported.
Author: William Asquith
Maintainer: William Asquith <william.asquith@ttu.edu>

Diff between copBasic versions 2.1.0 dated 2018-05-07 and 2.1.1 dated 2018-12-03

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 man/level.curvesCOP2.Rd           |    1 
 man/level.setCOP.Rd               |    1 
 man/level.setCOP2.Rd              |    1 
 man/med.regressCOP.Rd             |    1 
 man/med.regressCOP2.Rd            |    1 
 man/mleCOP.Rd                     |    1 
 man/prod2COP.Rd                   |    1 
 man/psepolar.Rd                   |    3 
 man/qua.regressCOP.Rd             |    1 
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 man/qua.regressCOP2.Rd            |    1 
 man/rhoCOP.Rd                     |    1 
 man/rmseCOP.Rd                    |only
 man/sectionCOP.Rd                 |    1 
 man/semicorCOP.Rd                 |    1 
 man/simCOP.Rd                     |    1 
 man/simCOPmicro.Rd                |    1 
 man/simcomposite3COP.Rd           |    1 
 man/simcompositeCOP.Rd            |    1 
 man/spectralmeas.Rd               |    4 
 man/statTn.Rd                     |   11 +-
 man/surCOP.Rd                     |    1 
 man/surfuncCOP.Rd                 |    1 
 man/vuongCOP.Rd                   |    4 
 87 files changed, 230 insertions(+), 124 deletions(-)

More information about copBasic at CRAN
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Package Ball updated to version 1.3.6 with previous version 1.3.5 dated 2018-11-02

Title: Statistical Inference and Sure Independence Screening via Ball Statistics
Description: Hypothesis tests and sure independence screening (SIS) procedure based on ball statistics, including ball divergence <doi:10.1214/17-AOS1579>, ball covariance, and ball correlation <doi:10.1080/01621459.2018.1462709>, are developed to analyze complex data. The ball divergence and ball covariance based distribution-free tests are implemented to examine equality of multivariate distributions and independence between random vectors of arbitrary dimensions. Furthermore, a generic non-parametric SIS procedure based on ball correlation and all of its variants are implemented to tackle the challenge in the context of ultra high dimensional data.
Author: Xueqin Wang, Wenliang Pan, Heping Zhang, Hongtu Zhu, Yuan Tian, Weinan Xiao, Chengfeng Liu, Jin Zhu
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>

Diff between Ball versions 1.3.5 dated 2018-11-02 and 1.3.6 dated 2018-12-03

 DESCRIPTION                   |   14 ++++-----
 MD5                           |   32 ++++++++++-----------
 NAMESPACE                     |    8 +++++
 NEWS.md                       |    4 ++
 R/bcorsis.R                   |    8 ++---
 R/bcov.R                      |   58 ++++++++++++++++++++++++++++++++++++--
 R/bd.R                        |   64 +++++++++++++++++++++++++++++++++++++++---
 R/data.R                      |    4 ++
 build/vignette.rds            |binary
 inst/doc/Ball.html            |    6 +--
 man/bcov.test.Rd              |   25 +++++++++++++++-
 man/bd.Rd                     |    2 -
 man/bd.test.Rd                |   26 +++++++++++++++--
 src/utilities.c               |   50 +++++++++++++++++---------------
 tests/testthat/test_bcorsis.R |   14 +++++----
 tests/testthat/test_bcov.R    |   41 +++++++++++++++++++++-----
 tests/testthat/test_bd.R      |   46 ++++++++++++++++++++++--------
 17 files changed, 311 insertions(+), 91 deletions(-)

More information about Ball at CRAN
Permanent link


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