Fri, 13 Dec 2019

Package SSLASSO updated to version 1.2-2 with previous version 1.2-1 dated 2018-08-28

Title: The Spike-and-Slab LASSO
Description: Efficient coordinate ascent algorithm for fitting regularization paths for linear models penalized by Spike-and-Slab LASSO of Rockova and George (2018) <doi:10.1080/01621459.2016.1260469>.
Author: Veronika Rockova [aut,cre], Gemma Moran [aut]
Maintainer: Gemma Moran <gm2918@columbia.edu>

Diff between SSLASSO versions 1.2-1 dated 2018-08-28 and 1.2-2 dated 2019-12-13

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More information about SSLASSO at CRAN
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Package retistruct updated to version 0.6.2 with previous version 0.6.1 dated 2019-12-09

Title: Retinal Reconstruction Program
Description: Reconstructs retinae by morphing a flat surface with cuts (a dissected flat-mount retina) onto a curvilinear surface (the standard retinal shape). It can estimate the position of a point on the intact adult retina to within 8 degrees of arc (3.6% of nasotemporal axis). The coordinates in reconstructed retinae can be transformed to visuotopic coordinates.
Author: David C. Sterratt [aut, cre, cph], Daniel Lyngholm [aut, cph]
Maintainer: David C. Sterratt <david.c.sterratt@ed.ac.uk>

Diff between retistruct versions 0.6.1 dated 2019-12-09 and 0.6.2 dated 2019-12-13

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More information about retistruct at CRAN
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Package highfrequency updated to version 0.6.2 with previous version 0.6.1 dated 2019-08-29

Title: Tools for Highfrequency Data Analysis
Description: Provide functionality to manage, clean and match highfrequency trades and quotes data, calculate various liquidity measures, estimate and forecast volatility, detect price jumps and investigate microstructure noise and intraday periodicity.
Author: Kris Boudt [aut, cre] (<https://orcid.org/0000-0002-1000-5142>), Jonathan Cornelissen [aut], Scott Payseur [aut], Giang Nguyen [ctb], Onno Kleen [aut] (<https://orcid.org/0000-0003-4731-4640>)
Maintainer: Kris Boudt <kris.boudt@ugent.be>

Diff between highfrequency versions 0.6.1 dated 2019-08-29 and 0.6.2 dated 2019-12-13

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More information about highfrequency at CRAN
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Package EMVS updated to version 1.1 with previous version 1.0 dated 2018-04-24

Title: The Expectation-Maximization Approach to Bayesian Variable Selection
Description: An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization paths for linear regression. Rockova and George (2014) <doi:10.1080/01621459.2013.869223>.
Author: Veronika Rockova [aut,cre], Gemma Moran [aut]
Maintainer: Gemma Moran <gm2918@columbia.edu>

Diff between EMVS versions 1.0 dated 2018-04-24 and 1.1 dated 2019-12-13

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Package dslabs updated to version 0.7.3 with previous version 0.7.2 dated 2019-12-11

Title: Data Science Labs
Description: Datasets and functions that can be used for data analysis practice, homework and projects in data science courses and workshops. 26 datasets are available for case studies in data visualization, statistical inference, modeling, linear regression, data wrangling and machine learning.
Author: Rafael A. Irizarry, Amy Gill
Maintainer: Rafael A. Irizarry <rafael_irizarry@dfci.harvard.edu>

Diff between dslabs versions 0.7.2 dated 2019-12-11 and 0.7.3 dated 2019-12-13

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Package bayes4psy updated to version 1.2.0 with previous version 1.1.1 dated 2019-06-28

Title: User Friendly Bayesian Data Analysis for Psychology
Description: Contains several Bayesian models for data analysis of psychological tests. A user friendly interface for these models should enable students and researchers to perform professional level Bayesian data analysis without advanced knowledge in programming and Bayesian statistics.
Author: Jure Demšar [cre, aut], Grega Repovš [aut], Erik Štrumbelj [aut], Trustees of Columbia University [cph], John Kruschke [cph] (R/shared_functions.R - mcmc_hdi, src/stan_files/ttest.stan), Rasmus Baath [cph] (R/b_bootstrap.R)
Maintainer: Jure Demšar <jure.demsar@fri.uni-lj.si>

Diff between bayes4psy versions 1.1.1 dated 2019-06-28 and 1.2.0 dated 2019-12-13

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Package MatchThem updated to version 0.9.1 with previous version 0.9.0 dated 2019-11-01

Title: Matching and Weighting Multiply Imputed Datasets
Description: Provides the necessary tools for the pre-processing techniques of matching and weighting multiply imputed datasets to control for effects of confounders and to reduce the degree of dependence on certain modeling assumptions in studying the causal associations between an exposure and an outcome. This package includes functions to perform matching within and across the multiply imputed datasets using several matching methods, to estimate weights of units in the imputed datasets using several weighting methods, to calculate the causal effect estimate in each matched or weighted dataset using parametric or non-parametric statistical models, and to pool the obtained estimates from these models according to Rubin's rules (please see <https://github.com/FarhadPishgar/MatchThem> for details).
Author: Farhad Pishgar [aut, cre], Noah Greifer [aut], Clémence Leyrat [ctb], Elizabeth Stuart [ctb]
Maintainer: Farhad Pishgar <Farhad.Pishgar@Gmail.com>

Diff between MatchThem versions 0.9.0 dated 2019-11-01 and 0.9.1 dated 2019-12-13

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Package mixlm updated to version 1.2.4 with previous version 1.2.3 dated 2018-01-03

Title: Mixed Model ANOVA and Statistics for Education
Description: The main functions perform mixed models analysis by least squares or REML by adding the function r() to formulas of lm() and glm(). A collection of text-book statistics for higher education is also included, e.g. modifications of the functions lm(), glm() and associated summaries from the package 'stats'.
Author: Kristian Hovde Liland [aut, cre], Solve S<e6>b<f8> [ctb], R-Core [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

Diff between mixlm versions 1.2.3 dated 2018-01-03 and 1.2.4 dated 2019-12-13

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Package Rcssplot updated to version 1.0.0 with previous version 0.3.0 dated 2018-02-25

Title: Styling of Graphics using Cascading Style Sheets
Description: Provides a means to style plots through cascading style sheets. This separates the aesthetics from the data crunching in plots and charts.
Author: Tomasz Konopka [aut, cre]
Maintainer: Tomasz Konopka <tokonopka@gmail.com>

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Package emIRT updated to version 0.0.9 with previous version 0.0.8 dated 2017-02-14

Title: EM Algorithms for Estimating Item Response Theory Models
Description: Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The current implementation includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are derived and implemented using variational EM. Subsequent edits also include variational network and text scaling models.
Author: Kosuke Imai <kimai@princeton.edu>, James Lo <lojames@usc.edu>, Jonathan Olmsted <jpolmsted@gmail.com>
Maintainer: James Lo <lojames@usc.edu>

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Package rsconnect updated to version 0.8.16 with previous version 0.8.15 dated 2019-07-22

Title: Deployment Interface for R Markdown Documents and Shiny Applications
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'RStudio Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: JJ Allaire
Maintainer: Jonathan McPherson <jonathan@rstudio.com>

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Package fulltext updated to version 1.4.0 with previous version 1.3.0 dated 2019-06-27

Title: Full Text of 'Scholarly' Articles Across Many Data Sources
Description: Provides a single interface to many sources of full text 'scholarly' data, including 'Biomed Central', Public Library of Science, 'Pubmed Central', 'eLife', 'F1000Research', 'PeerJ', 'Pensoft', 'Hindawi', 'arXiv' 'preprints', and more. Functionality included for searching for articles, downloading full or partial text, downloading supplementary materials, converting to various data formats.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package rasterVis updated to version 0.47 with previous version 0.46 dated 2019-07-02

Title: Visualization Methods for Raster Data
Description: Methods for enhanced visualization and interaction with raster data. It implements visualization methods for quantitative data and categorical data, both for univariate and multivariate rasters. It also provides methods to display spatiotemporal rasters, and vector fields. See the website for examples.
Author: Oscar Perpinan Lamigueiro [cre, aut] (<https://orcid.org/0000-0002-4134-7196>), Robert Hijmans [aut]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@gmail.com>

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Package Qtools updated to version 1.5.1 with previous version 1.4.1 dated 2019-07-13

Title: Utilities for Quantiles
Description: Functions for unconditional and conditional quantiles. These include methods for transformation-based quantile regression, quantile-based measures of location, scale and shape, methods for quantiles of discrete variables, quantile-based multiple imputation, and restricted quantile regression. A vignette is given in Geraci (2016, The R Journal) <doi:10.32614/RJ-2016-037> and included in the package.
Author: Marco Geraci [aut, cph, cre] (<https://orcid.org/0000-0002-6311-8685>), Alessio Farcomeni [ctb] (Contributions to midrq code)
Maintainer: Marco Geraci <geraci@mailbox.sc.edu>

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Package jiebaR updated to version 0.11 with previous version 0.10.99 dated 2019-03-12

Title: Chinese Text Segmentation
Description: Chinese text segmentation, keyword extraction and speech tagging For R.
Author: Qin Wenfeng, Wu Yanyi
Maintainer: Qin Wenfeng <mail@qinwenfeng.com>

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Package fishmethods updated to version 1.11-1 with previous version 1.11-0 dated 2018-11-20

Title: Fishery Science Methods and Models
Description: Functions for applying a wide range of fisheries stock assessment methods.
Author: Gary A. Nelson <gary.nelson@mass.gov>
Maintainer: Gary A. Nelson <gary.nelson@mass.gov>

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Package DynTxRegime updated to version 4.3 with previous version 4.2 dated 2019-10-17

Title: Methods for Estimating Optimal Dynamic Treatment Regimes
Description: Methods to estimate dynamic treatment regimes using Interactive Q-Learning, Q-Learning, weighted learning, and value-search methods based on Augmented Inverse Probability Weighted Estimators and Inverse Probability Weighted Estimators.
Author: S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>

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New package WorldFlora with initial version 1.0
Package: WorldFlora
Type: Package
Title: Standardize Plant Names According to World Flora Online Taxonomic Backbone
Version: 1.0
Date: 2019-12-02
Author: Roeland Kindt
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>
Description: World Flora Online is an online flora of all known plants, available from <http://www.worldfloraonline.org/>. Methods are provided of matching a list of plant names (scientific names, taxonomic names) against a static copy of the World Flora Online Taxonomic Backbone data that can be downloaded from the World Flora Online website.
License: GPL-2
Depends: R (>= 3.5.0)
Suggests: data.table, utils
Packaged: 2019-12-06 14:10:47 UTC; RKINDT
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2019-12-13 15:40:11 UTC

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Package siland updated to version 1.4.5 with previous version 1.2 dated 2019-03-20

Title: Spatial Influence of Landscape
Description: Method to estimate the spatial influence scales of landscape variables on a response variable. The method is based on Chandler and Hepinstall-Cymerman (2016) Estimating the spatial scales of landscape effects on abundance, Landscape ecology, 31: 1383-1394, <doi:10.1007/s10980-016-0380-z>.
Author: Carpentier F. and Martin O.
Maintainer: Martin Olivier <olivier.martin@inra.fr>

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New package rfishnet2 with initial version 0.1.0
Package: rfishnet2
Type: Package
Title: Exploratory Data Analysis for FishNet2 Data
Version: 0.1.0
Authors@R: c(person( "Margaux Armfield", "email = margaux.armfield@gmail.com", role = "aut"), person("Kennedy Dorsey", email = "kadorsey97@gmail.com", role = c("aut", "cre")))
Maintainer: Kennedy Dorsey <kadorsey97@gmail.com>
Description: Provides data processing and summarization of data from FishNet2.net in text and graphical outputs. Allows efficient filtering of information and data cleaning.
License: MIT + file LICENSE
URL: https://github.com/kdors/rfishnet2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6)
Imports: pracma (>= 2.2.5), ggplot2 (>= 3.2.1), sf (>= 0.8-0)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-12-06 10:19:31 UTC; kennedy
Author: Margaux Armfield email = margaux.armfield@gmail.com [aut], Kennedy Dorsey [aut, cre]
Repository: CRAN
Date/Publication: 2019-12-13 15:40:05 UTC

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New package qmix with initial version 0.1.2.0
Package: qmix
Title: Finite Quantile Mixture Models
Version: 0.1.2.0
Author: Xiao Lu
Maintainer: Xiao Lu <xiao.lu.research@gmail.com>
Description: Estimates finite quantile mixture models using Markov chain Monte Carlo methods. The finite quantile mixture models include both fixed- and random-quantile specifications that are applicable to both continuous and binary dependent variables. Tools are available to assess convergence and summarize the estimation results.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Formula, Rcpp (>= 0.12.0), rstan (>= 2.18.1),
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-12-04 13:23:20 UTC; xiaolu
Repository: CRAN
Date/Publication: 2019-12-13 15:10:02 UTC

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New package fastpos with initial version 0.1.0
Package: fastpos
Type: Package
Title: Finds the Critical Sequential Point of Stability for a Pearson Correlation
Version: 0.1.0
Date: 2019-12-06
Authors@R: person("Johannes", "Titz", email = "johannes.titz@gmail.com", role = c("aut", "cre", "cph"))
Description: Finds the critical sample size ("point of stability") for a correlation to stabilize in Schoenbrodt and Perugini's definition of sequential stability (see <doi:10.1016/j.jrp.2013.05.009>).
License: GPL-3
Imports: Rcpp (>= 1.0.1), plyr, MASS, pbapply
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
BugReports: https://github.com/johannes-titz/fastpos
Encoding: UTF-8
RoxygenNote: 7.0.2
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), covr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-12-06 12:43:09 UTC; jt
Author: Johannes Titz [aut, cre, cph]
Maintainer: Johannes Titz <johannes.titz@gmail.com>
Repository: CRAN
Date/Publication: 2019-12-13 15:40:08 UTC

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Package ehelp updated to version 1.1.1 with previous version 1.1 dated 2019-11-12

Title: Enhanced Help to Enable "Docstring"-Comments in Users Functions
Description: By overloading the R help() function, this package allows users to use "docstring" style comments within their own defined functions.
Author: Marcelo Ponce [aut, cre]
Maintainer: Marcelo Ponce <mponce@scinet.utoronto.ca>

Diff between ehelp versions 1.1 dated 2019-11-12 and 1.1.1 dated 2019-12-13

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New package ClusBoot with initial version 1.0
Package: ClusBoot
Type: Package
Title: Bootstrap Clustering
Version: 1.0
Date: 2019-11-11
Author: Sugnet Lubbe
Maintainer: Sugnet Lubbe <slubbe@sun.ac.za>
Description: Clustering algorithms are designed to cluster objects into a number of clusters. Any clustering algorithm provides the 'best' grouping of objects according to some criterion. This does not guarantee a 'good' clustering solution in the sense that some allocations were not simply the result of chance. This package allows the user to apply any clustering algorithm to a data set. The cluster allocations are subjected to a bootstrap analysis to determine the extent to which the clustering structure is stable and fundamental to the data set. For more information see <https://slubbe.wixsite.com/academic-cv/conference-presentations>.
License: AGPL-3
NeedsCompilation: no
Packaged: 2019-12-05 14:52:51 UTC; filz
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2019-12-13 15:20:02 UTC

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Package tfdatasets updated to version 2.0.0 with previous version 1.13.1 dated 2019-04-09

Title: Interface to 'TensorFlow' Datasets
Description: Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/programmers_guide/datasets> for additional details.
Author: Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>), Kevin Ushey [aut], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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New package statcanR with initial version 0.1.0
Package: statcanR
Type: Package
Title: Client for Statistics Canada's Open Economic Data
Version: 0.1.0
Authors@R: c( person("Thierry", "Warin", email = "thierry.warin@skema.edu", role =c("aut", "cre")), person("Romain", "Le Duc", role = "aut"))
Description: An easy connection with R to Statistics Canada's Web Data Service. Open economic data (formerly known as CANSIM tables, now identified by Product IDs (PID)) are accessible as a data frame, directly in the user's R environment. Warin, Le Duc (2019) <doi:10.6084/m9.figshare.10544735>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: data.table, curl
URL: http://github.com/warint/statcanR
BugReports: https://github.com/warint/statcanR/issues
NeedsCompilation: no
Packaged: 2019-12-04 21:58:53 UTC; paquettem
Author: Thierry Warin [aut, cre], Romain Le Duc [aut]
Maintainer: Thierry Warin <thierry.warin@skema.edu>
Repository: CRAN
Date/Publication: 2019-12-13 14:20:02 UTC

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New package SequenceSpikeSlab with initial version 0.1
Package: SequenceSpikeSlab
Type: Package
Title: Exact Bayesian Model Selection Methods for the Sparse Normal Sequence Model
Version: 0.1
Authors@R: c( person("Steven", "de Rooij", email = "steven.de.rooij@gmail.com", role = c("cre", "aut")), person("Tim", "van Erven", email = "tim@timvanerven.nl", role = "aut"), person("Botond", "Szabo", email = "b.t.szabo@math.leidenuniv.nl", role = "aut"))
Author: Steven de Rooij [cre, aut], Tim van Erven [aut], Botond Szabo [aut]
Maintainer: Steven de Rooij <steven.de.rooij@gmail.com>
Description: Contains fast functions to calculate the exact Bayes posterior for the Sparse Normal Sequence Model, which implement the algorithms described in Van Erven and Szabo (2018) <arXiv:1810.10883>. For general hierarchical priors, sample sizes up to 10,000 are feasible within half an hour on a standard laptop. For beta-binomial spike-and-slab priors, a faster algorithm is provided, which can handle sample sizes of 100,000 in half an hour. In the implementation, special care has been taken to assure numerical stability of the methods even for such large sample sizes.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.18), RcppProgress (>= 0.4.1), selectiveInference (>= 1.2.5)
LinkingTo: Rcpp, RcppProgress
RoxygenNote: 7.0.2
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-12-04 21:14:26 UTC; tve
Repository: CRAN
Date/Publication: 2019-12-13 14:20:12 UTC

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New package sail with initial version 0.1.0
Package: sail
Title: Sparse Additive Interaction Learning
Version: 0.1.0
Authors@R: c( person("Sahir", "Bhatnagar", email = "sahir.bhatnagar@gmail.com", role = c("aut", "cre"), comment = "http://sahirbhatnagar.com/"), person("Yi", "Yang", email = "yi.yang6@mcgill.ca", role = c("aut"), comment = "http://www.math.mcgill.ca/yyang/"), person("Celia", "Greenwood", email = "celia.greenwood@mcgill.ca", role = c("aut"), comment = "https://www.mcgill.ca/statisticalgenetics/") )
Description: Sparse additive interaction learning with the strong heredity property, i.e., an interaction is selected only if its corresponding main effects are also included. Fits a linear model with non-linear interactions via penalized maximum likelihood. Interactions are limited to a single exposure or environment variable. For more information, see the website below and the accompanying paper: Bhatnagar et al., "A sparse additive model for high-dimensional interactions with an exposure variable", 2019, <DOI:10.1101/445304>.
Depends: R (>= 3.4.0)
Imports: glmnet, gglasso, methods
Suggests: grpreg, truncnorm, foreach, doParallel, testthat, covr, vdiffr, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/sahirbhatnagar/sail/issues
URL: https://sahirbhatnagar.com/sail
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-12-05 04:59:48 UTC; sahir
Author: Sahir Bhatnagar [aut, cre] (http://sahirbhatnagar.com/), Yi Yang [aut] (http://www.math.mcgill.ca/yyang/), Celia Greenwood [aut] (https://www.mcgill.ca/statisticalgenetics/)
Maintainer: Sahir Bhatnagar <sahir.bhatnagar@gmail.com>
Repository: CRAN
Date/Publication: 2019-12-13 15:00:02 UTC

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New package NLPclient with initial version 1.0
Package: NLPclient
Version: 1.0
Title: Stanford 'CoreNLP' Annotation Client
Description: Stanford 'CoreNLP' annotation client. Stanford 'CoreNLP' <https://stanfordnlp.github.io/CoreNLP/index.html> integrates all NLP tools from the Stanford Natural Language Processing Group, including a part-of-speech (POS) tagger, a named entity recognizer (NER), a parser, and a coreference resolution system, and provides model files for the analysis of English. More information can be found in the README.
Authors@R: c(person("Florian", "Schwendinger", role = c("aut", "cre"), email = "FlorianSchwendinger@gmx.at"), person("Kurt", "Hornik", role = c("aut")))
Imports: NLP (>= 0.1-10), utils, xml2, curl
Depends: R (>= 3.2.0)
License: GPL-2
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-12-04 21:29:21 UTC; florian
Author: Florian Schwendinger [aut, cre], Kurt Hornik [aut]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Repository: CRAN
Date/Publication: 2019-12-13 14:20:15 UTC

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Package mice updated to version 3.7.0 with previous version 3.6.0 dated 2019-07-10

Title: Multivariate Imputation by Chained Equations
Description: Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Author: Stef van Buuren [aut, cre], Karin Groothuis-Oudshoorn [aut], Alexander Robitzsch [ctb], Gerko Vink [ctb], Lisa Doove [ctb], Shahab Jolani [ctb], Rianne Schouten [ctb], Philipp Gaffert [ctb], Florian Meinfelder [ctb], Bernie Gray [ctb]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

Diff between mice versions 3.6.0 dated 2019-07-10 and 3.7.0 dated 2019-12-13

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 man/mice.impute.ri.Rd                         |   31 
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 tests/testthat/test-mice.impute.2lonly.mean.R |   34 
 tests/testthat/test-mice.impute.2lonly.norm.R |only
 tests/testthat/test-rbind.R                   |    4 
 71 files changed, 1880 insertions(+), 1357 deletions(-)

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Package lbreg updated to version 1.3 with previous version 1.2 dated 2018-01-19

Title: Log-Binomial Regression with Constrained Optimization
Description: Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on the boundary of the parameter space.
Author: Bernardo B. Andrade
Maintainer: Bernardo Andrade <bbandrade@unb.br>

Diff between lbreg versions 1.2 dated 2018-01-19 and 1.3 dated 2019-12-13

 DESCRIPTION          |    8 ++++----
 MD5                  |   17 +++++++++--------
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 build/partial.rdb    |binary
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 man/lbreg.Rd         |    2 +-
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 10 files changed, 50 insertions(+), 59 deletions(-)

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New package imputeFin with initial version 0.1.0
Package: imputeFin
Title: Imputation of Financial Time Series with Missing Values
Version: 0.1.0
Date: 2019-12-05
Description: Missing values often occur in financial data due to a variety of reasons (errors in the collection process or in the processing stage, lack of asset liquidity, lack of reporting of funds, etc.). However, most data analysis methods expect complete data and cannot be employed with missing values. One convenient way to deal with this issue without having to redesign the data analysis method is to impute the missing values. This package provides an efficient way to impute the missing values based on modeling the time series with a random walk or an autoregressive (AR) model, convenient to model log-prices and log-volumes in financial data. In the current version, the imputation is univariate-based (so no asset correlation is used). The package is based on the paper: J. Liu, S. Kumar, and D. P. Palomar (2019). Parameter Estimation of Heavy-Tailed AR Model With Missing Data Via Stochastic EM. IEEE Trans. on Signal Processing, vol. 67, no. 8, pp. 2159-2172. <doi:10.1109/TSP.2019.2899816>.
Authors@R: c( person("Junyan", "Liu", role = "aut", email = "jliubl@connect.ust.hk"), person(c("Daniel", "P."), "Palomar", role = c("cre", "aut"), email = "daniel.p.palomar@gmail.com") )
Maintainer: Daniel P. Palomar <daniel.p.palomar@gmail.com>
URL: https://CRAN.R-project.org/package=imputeFin, https://github.com/dppalomar/imputeFin
BugReports: https://github.com/dppalomar/imputeFin/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.0
Imports: MASS, zoo
Suggests: bookdown, knitr, ggplot2, prettydoc, rmarkdown, R.rsp, testthat, xts
VignetteBuilder: knitr, rmarkdown, R.rsp
NeedsCompilation: no
Packaged: 2019-12-05 02:45:30 UTC; palomar
Author: Junyan Liu [aut], Daniel P. Palomar [cre, aut]
Repository: CRAN
Date/Publication: 2019-12-13 15:00:06 UTC

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Package heritability updated to version 1.3 with previous version 1.2 dated 2016-12-22

Title: Marker-Based Estimation of Heritability Using Individual Plant or Plot Data
Description: Implements marker-based estimation of heritability when observations on genetically identical replicates are available. These can be either observations on individual plants or plot-level data in a field trial. Heritability can then be estimated using a mixed model for the individual plant or plot data. For comparison, also mixed-model based estimation using genotypic means and estimation of repeatability with ANOVA are implemented. For illustration the package contains several datasets for the model species Arabidopsis thaliana.
Author: Willem Kruijer, with a contribution from Ian White (the internal function pin). Contains data collected by Padraic Flood and Rik Kooke.
Maintainer: Willem Kruijer <willem.kruijer@wur.nl>

Diff between heritability versions 1.2 dated 2016-12-22 and 1.3 dated 2019-12-13

 DESCRIPTION              |    8 
 MD5                      |    6 
 R/AI_algorithm.R         |  498 +++++++++++++++++++++++------------------------
 R/AI_algorithm_weights.r |  434 ++++++++++++++++++++--------------------
 4 files changed, 473 insertions(+), 473 deletions(-)

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New package gorica with initial version 0.1.0
Package: gorica
Type: Package
Date: 2019-11-24
Title: Evaluation of Inequality Constrained Hypotheses Using GORICA
Version: 0.1.0
Authors@R: c( person(c("Rebecca M."), "Kuiper", role = "aut"), person(c("Altinisik"), "Yasin", role = "aut"), person(c("Caspar", "J."), "van Lissa", role = c("aut", "cre"), email = "c.j.vanlissa@uu.nl") )
Description: Implements the generalized order-restricted information criterion approximation (GORICA) by Kuiper, Hoijtink, & Silvapulle (2012) <doi:10.1016/j.jspi.2012.03.007>. The GORICA is an AIC-like information criterion that can be utilized to evaluate informative hypotheses specifying directional relationships between model parameters in terms of (in)equality constraints. The GORICA is applicable not only to normal linear models, but also to generalized linear models (GLMs), generalized linear mixed models (GLMMs), and structural equation models (SEMs). In addition, the GORICA can be utilized in the context of contingency tables for which (in)equality constrained hypotheses do not necessarily contain linear restrictions on cell probabilities, but instead often contain non-linear restrictions on cell probabilities.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://informative-hypotheses.sites.uu.nl/software/goric/
NeedsCompilation: no
RoxygenNote: 6.1.1
Depends: R (>= 3.0.0), bain (>= 0.2.2), stats
Imports: MASS, mvtnorm, quadprog, lme4, lavaan
Suggests: testthat
Packaged: 2019-12-04 18:05:48 UTC; Lissa102
Author: Rebecca M. Kuiper [aut], Altinisik Yasin [aut], Caspar J. van Lissa [aut, cre]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@uu.nl>
Repository: CRAN
Date/Publication: 2019-12-13 14:20:09 UTC

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New package christmas with initial version 1.0.0
Package: christmas
Type: Package
Title: Generation of Christmas Cards
Version: 1.0.0
Depends: R (>= 3.4)
Imports: animation (>= 2.6), grDevices, graphics, stats, methods
Author: Jose Barrera-Gomez
Maintainer: Jose Barrera-Gomez <jose.barrera@isglobal.org>
Description: Generates a number of Christmas cards, most of them being animated. The name of each card includes the year in which it was created.
License: GPL-2
URL: https://sites.google.com/view/josebarrera/
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-12-04 22:56:10 UTC; jose
Repository: CRAN
Date/Publication: 2019-12-13 14:30:02 UTC

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New package ttbary with initial version 0.1-1
Package: ttbary
Version: 0.1-1
Date: 2019-11-30
Title: Barycenter Methods for Spatial Point Patterns
Authors@R: c(person("Raoul", "Müller", email = "raoul.mueller@uni-goettingen.de", role = "aut"), person("Dominic", "Schuhmacher", email = "dominic.schuhmacher@mathematik.uni-goettingen.de", role = c("aut","cre"), comment = c(ORCID = "0000-0001-7079-6313")))
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>
Depends: R (>= 3.0.0), spatstat (>= 1.50-0)
LinkingTo: Rcpp
Imports: grDevices, graphics, stats, Rcpp
Description: Computes a point pattern in R^2 or on a graph that is representative of a collection of many data patterns. The result is an approximate barycenter (also known as Fréchet mean or prototype) based on a transport-transform metric. Possible choices include Optimal SubPattern Assignment (OSPA) and Spike Time metrics. Details can be found in Müller, Schuhmacher and Mateu (2019) <arXiv:1909.07266>.
LazyData: yes
Encoding: UTF-8
License: GPL (>= 2)
RoxygenNote: 7.0.0
NeedsCompilation: yes
Packaged: 2019-11-30 13:00:17 UTC; schumi
Author: Raoul Müller [aut], Dominic Schuhmacher [aut, cre] (<https://orcid.org/0000-0001-7079-6313>)
Repository: CRAN
Date/Publication: 2019-12-13 13:20:02 UTC

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New package qgg with initial version 1.0.0
Package: qgg
Type: Package
Title: Statistical Tools for Quantitative Genetic Analyses
Version: 1.0.0
Date: 2019-11-29
Authors@R: c(person("Peter", "Soerensen", email = "peter.sorensen@r-qgg.org", role = c("aut", "cre")), person("Palle", "Duun Rohde", email = "palle.d.rohde@mbg.au.dk", role = "aut"), person("Izel", "Fourie Soerensen", email = "izel.sorensen@gmail.com", role = "aut"))
Maintainer: Peter Soerensen <peter.sorensen@r-qgg.org>
Description: Provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and 5) single or multi-marker association analyses. Rohde et al. (2019) <doi:10.1101/503631>.
License: GPL-3
Encoding: UTF-8
Imports: data.table, parallel, statmod, stats, MCMCpack, MASS
RoxygenNote: 6.1.1
URL: https://github.com/psoerensen/qgg
BugReports: https://github.com/psoerensen/qgg/issues
NeedsCompilation: yes
Packaged: 2019-11-30 18:00:15 UTC; Peter
Author: Peter Soerensen [aut, cre], Palle Duun Rohde [aut], Izel Fourie Soerensen [aut]
Repository: CRAN
Date/Publication: 2019-12-13 13:10:03 UTC

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New package hackeRnews with initial version 0.1.0
Package: hackeRnews
Title: Wrapper for the 'Official Hacker News' API
Version: 0.1.0
Authors@R: c( person(given = "Ryszard", family = "Szymanski", role = c("aut", "cre"), email = "ryszard.szymanski@outlook.com"), person(given = "Piotr", family = "Janus", role = c("aut")), person(given = "Zuzanna", family = "Magierska", role = c("aut")), person(given = "Rafal", family = "Muszynski", role = c("aut")), person(given = "Andrzej", family = "Nowikowski", role = c("aut")) )
Maintainer: Ryszard Szymanski <ryszard.szymanski@outlook.com>
Description: Use the <https://hacker-news.firebaseio.com/v0/> API through R. Retrieve posts, articles and other items in form of convenient R objects.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: covr, testthat (>= 2.1.0), httptest, knitr, rmarkdown, spelling
RoxygenNote: 6.1.1
Imports: utils, httr, jsonlite, tibble, future.apply
VignetteBuilder: knitr
URL: https://github.com/szymanskir/hackeRnews
BugReports: https://github.com/szymanskir/hackeRnews/issues
Language: en-US
NeedsCompilation: no
Packaged: 2019-11-30 17:02:26 UTC; szymanskir
Author: Ryszard Szymanski [aut, cre], Piotr Janus [aut], Zuzanna Magierska [aut], Rafal Muszynski [aut], Andrzej Nowikowski [aut]
Repository: CRAN
Date/Publication: 2019-12-13 13:20:05 UTC

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New package dhReg with initial version 0.1.0
Package: dhReg
Type: Package
Title: Dynamic Harmonic Regression
Version: 0.1.0
Author: Pranay Gaikwad
Maintainer: Pranay Gaikwad <pranay3113@gmail.com>
Description: Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regression.
License: GPL-3
Encoding: UTF-8
LazyData: false
RoxygenNote: 6.1.1
Depends: forecast, future.apply, stats, future, testthat
URL: https://otexts.com/fpp2/dhr.html
NeedsCompilation: no
Packaged: 2019-12-03 08:25:18 UTC; Priyanka Gaikwad
Repository: CRAN
Date/Publication: 2019-12-13 14:00:02 UTC

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New package climate with initial version 0.3.0
Package: climate
Title: Interface to Download Meteorological (and Hydrological) Datasets
Version: 0.3.0
Authors@R: c(person(given = "Bartosz", family = "Czernecki", role = c("aut", "cre"), email = "nwp@amu.edu.pl", comment = c(ORCID = "0000-0001-6496-1386")), person(given = "Arkadiusz", family = "Głogowski", role = "aut", email = "arkadiusz.glogowski@upwr.edu.pl", comment = c(ORCID = "0000-0002-7587-8892")), person(given = "Jakub", family = "Nowosad", role = "aut", email = "nowosad.jakub@gmail.com", comment = c(ORCID = "0000-0002-1057-3721")), person("IMGW-PIB", role = "ctb", comment = "source of the data"))
Description: Automatize downloading of meteorological and hydrological data from publicly available repositories: OGIMET (<http://ogimet.com/index.phtml.en>), University of Wyoming - atmospheric vertical profiling data (<http://weather.uwyo.edu/upperair>), and Polish Institute of Meterology and Water Management - National Research Institute (<https://dane.imgw.pl>). This package also allows for adding geographical coordinates for each observation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.1
Depends: R (>= 3.1)
Imports: RCurl, XML, imgw
Suggests: testthat, knitr, rmarkdown, dplyr, tidyr, maps
URL: https://github.com/bczernecki/climate
BugReports: https://github.com/bczernecki/climate/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-12-04 13:48:17 UTC; bartosz
Author: Bartosz Czernecki [aut, cre] (<https://orcid.org/0000-0001-6496-1386>), Arkadiusz Głogowski [aut] (<https://orcid.org/0000-0002-7587-8892>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), IMGW-PIB [ctb] (source of the data)
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>
Repository: CRAN
Date/Publication: 2019-12-13 13:50:02 UTC

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New package bestSDP with initial version 0.1.2
Package: bestSDP
Type: Package
Title: Burden Estimate of Common Communicable Diseases in Settlements of Displaced Populations
Version: 0.1.2
Authors@R: person("You", "Li", email = "You.Li2@ed.ac.uk", role = c("aut", "cre"))
Maintainer: You Li <You.Li2@ed.ac.uk>
Description: Provides a practical tool for estimating the burden of common communicable diseases in settlements of displaced populations. An online version of the tool can be found at <http://who-refugee-bod.ecdf.ed.ac.uk/shiny/app/>. Estimates of burden of disease aim to synthesize data about cause-specific morbidity and mortality through a systematic approach that enables evidence-based decisions and comparisons across settings. The focus of this tool is on four acute communicable diseases and syndromes, including Acute respiratory infections, Acute diarrheal diseases, Acute jaundice syndrome and Acute febrile illnesses.
License: GPL (>= 2)
Imports: shiny, shinythemes, shinydashboard, shinyWidgets, shinyBS, shinyjs, tidyr, dplyr, readxl, ggplot2, rlist, DT, stringr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-11-30 21:44:12 UTC; youli
Author: You Li [aut, cre]
Repository: CRAN
Date/Publication: 2019-12-13 13:10:06 UTC

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Package UCSCXenaTools updated to version 1.2.10 with previous version 1.2.9 dated 2019-11-25

Title: Download and Explore Datasets from UCSC Xena Data Hubs
Description: Download and explore datasets from UCSC Xena data hubs, which are a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others. Databases are normalized so they can be combined, linked, filtered, explored and downloaded.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Xue-Song Liu [aut] (<https://orcid.org/0000-0002-7736-0077>), Martin Morgan [ctb], Christine Stawitz [rev] (Christine reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/315>), Carl Ganz [rev] (Carl reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/315>)
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between UCSCXenaTools versions 1.2.9 dated 2019-11-25 and 1.2.10 dated 2019-12-13

 DESCRIPTION                 |    9 +++++----
 MD5                         |   12 ++++++------
 NEWS.md                     |    5 +++++
 data/XenaData.rda           |binary
 inst/doc/USCSXenaTools.Rmd  |    5 ++++-
 inst/doc/USCSXenaTools.html |   29 +++++++++++++++--------------
 vignettes/USCSXenaTools.Rmd |    5 ++++-
 7 files changed, 39 insertions(+), 26 deletions(-)

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New package poibin with initial version 1.4
Package: poibin
Type: Package
Title: The Poisson Binomial Distribution
Version: 1.4
Date: 2019-12-12
Author: Yili Hong
Maintainer: Yili Hong <yilihong@vt.edu>
Description: Implementation of both the exact and approximation methods for computing the cdf of the Poisson binomial distribution. It also provides the pmf, quantile function, and random number generation for the Poisson binomial distribution. We would like to acknowledge that the C code for FFT is adopted from R distribution (fft.c, by Ross Ihaka from University of Auckland, dated February 1997).
License: GPL-2
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2019-12-12 22:22:10 UTC; yilihong
Repository: CRAN
Date/Publication: 2019-12-13 05:40:02 UTC

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New package asciicast with initial version 1.0.0
Package: asciicast
Title: Create 'Ascii' Screen Casts from R Scripts
Version: 1.0.0
Authors@R: c( person(given = "Gábor", family = "Csárdi", role = c("aut", "cre"), email = "csardi.gabor@gmail.com"), person(given = "Romain", family = "Francois", role = "aut"), person(given = "Mario", family = "Nebl", role = "aut", comment = "https://github.com/marionebl/svg-term author"), person(given = "Marcin", family = "Kulik", role = "aut", comment = "https://github.com/asciinema/asciinema-player author"))
Description: Record 'asciicast' screen casts from R scripts. Convert them to animated SVG images, to be used in 'README' files, or blog posts. Includes 'asciinema-player' as an 'HTML' widget, and an 'asciicast' 'knitr' engine, to embed 'ascii' screen casts in 'Rmarkdown' documents.
License: MIT + file LICENSE
Imports: curl, jsonlite, processx (>= 3.4.0), tibble, utils, uuid, V8
Suggests: cli, htmlwidgets, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.1.9000
VignetteBuilder: asciicast
NeedsCompilation: no
Packaged: 2019-12-01 14:49:00 UTC; gaborcsardi
Author: Gábor Csárdi [aut, cre], Romain Francois [aut], Mario Nebl [aut] (https://github.com/marionebl/svg-term author), Marcin Kulik [aut] (https://github.com/asciinema/asciinema-player author)
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Repository: CRAN
Date/Publication: 2019-12-13 13:00:02 UTC

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Package quantreg updated to version 5.54 with previous version 5.52 dated 2019-11-09

Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Cleve Moler [ctb] (author of several linpack routines), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>

Diff between quantreg versions 5.52 dated 2019-11-09 and 5.54 dated 2019-12-13

 DESCRIPTION        |    6 +++---
 MD5                |   12 ++++++------
 R/boot.R           |    4 ++--
 R/crq.R            |    2 +-
 build/vignette.rds |binary
 inst/ChangeLog     |   12 ++++++++++++
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 7 files changed, 25 insertions(+), 13 deletions(-)

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Package magclass updated to version 5.7.0 with previous version 5.5.0 dated 2019-12-06

Title: Data Class and Tools for Handling Spatial-Temporal Data
Description: Data class for increased interoperability working with spatial- temporal data together with corresponding functions and methods (conversions, basic calculations and basic data manipulation). The class distinguishes between spatial, temporal and other dimensions to facilitate the development and interoperability of tools build for it. Additional features are name-based addressing of data and internal consistency checks (e.g. checking for the right data order in calculations).
Author: Jan Philipp Dietrich [aut, cre], Benjamin Leon Bodirsky [aut], Markus Bonsch [aut], Florian Humpenoeder [aut], Stephen Bi [aut], Kristine Karstens [aut], Lavinia Baumstark [ctb], Christoph Bertram [ctb], Anastasis Giannousakis [ctb], David Klein [ctb], Ina Neher [ctb], Michaja Pehl [ctb], Anselm Schultes [ctb], Miodrag Stevanovic [ctb], Xiaoxi Wang [ctb]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>

Diff between magclass versions 5.5.0 dated 2019-12-06 and 5.7.0 dated 2019-12-13

 magclass-5.5.0/magclass/vignettes/magclass-concept.md    |only
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 magclass-5.7.0/magclass/NAMESPACE                        |    1 
 magclass-5.7.0/magclass/R/getDim.R                       |   46 +++++++++++----
 magclass-5.7.0/magclass/R/getItems.R                     |   15 ++++
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 magclass-5.7.0/magclass/R/mcalc.R                        |    4 -
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More information about magclass at CRAN
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Package lmerTest updated to version 3.1-1 with previous version 3.1-0 dated 2019-02-11

Title: Tests in Linear Mixed Effects Models
Description: Provides p-values in type I, II or III anova and summary tables for lmer model fits (cf. lme4) via Satterthwaite's degrees of freedom method. A Kenward-Roger method is also available via the pbkrtest package. Model selection methods include step, drop1 and anova-like tables for random effects (ranova). Methods for Least-Square means (LS-means) and tests of linear contrasts of fixed effects are also available.
Author: Alexandra Kuznetsova [aut], Per Bruun Brockhoff [aut, ths], Rune Haubo Bojesen Christensen [aut], Sofie Pødenphant Jensen [ctb, cre]
Maintainer: Sofie Pødenphant Jensen <sofp@dtu.dk>

Diff between lmerTest versions 3.1-0 dated 2019-02-11 and 3.1-1 dated 2019-12-13

 DESCRIPTION       |   18 ++++++++++--------
 MD5               |    6 +++---
 NEWS.md           |    6 ++++++
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 4 files changed, 19 insertions(+), 25 deletions(-)

More information about lmerTest at CRAN
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Package ERP updated to version 2.2 with previous version 2.1 dated 2018-10-05

Title: Significance Analysis of Event-Related Potentials Data
Description: Functions for signal detection and identification designed for Event-Related Potentials (ERP) data in a linear model framework. The functional F-test proposed in Causeur, Sheu, Perthame, Rufini (2018, submitted) for analysis of variance issues in ERP designs is implemented for signal detection (tests for mean difference among groups of curves in One-way ANOVA designs for example). Once an experimental effect is declared significant, identification of significant intervals is achieved by the multiple testing procedures reviewed and compared in Sheu, Perthame, Lee and Causeur (2016, <DOI:10.1214/15-AOAS888>). Some of the methods gathered in the package are the classical FDR- and FWER-controlling procedures, also available using function p.adjust. The package also implements the Guthrie-Buchwald procedure (Guthrie and Buchwald, 1991 <DOI:10.1111/j.1469-8986.1991.tb00417.x>), which accounts for the auto-correlation among t-tests to control erroneous detection of short intervals. The Adaptive Factor-Adjustment method is an extension of the method described in Causeur, Chu, Hsieh and Sheu (2012, <DOI:10.3758/s13428-012-0230-0>). It assumes a factor model for the correlation among tests and combines adaptively the estimation of the signal and the updating of the dependence modelling (see Sheu et al., 2016, <DOI:10.1214/15-AOAS888> for further details).
Author: David Causeur, Ching-Fan Sheu, Mei-Chen Chu, Flavia Rufini
Maintainer: David Causeur <david.causeur@agrocampus-ouest.fr>

Diff between ERP versions 2.1 dated 2018-10-05 and 2.2 dated 2019-12-13

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More information about ERP at CRAN
Permanent link

Package clusterSim updated to version 0.48-3 with previous version 0.48-2 dated 2019-11-21

Title: Searching for Optimal Clustering Procedure for a Data Set
Description: Distance measures (GDM1, GDM2, Sokal-Michener, Bray-Curtis, for symbolic interval-valued data), cluster quality indices (Calinski-Harabasz, Baker-Hubert, Hubert-Levine, Silhouette, Krzanowski-Lai, Hartigan, Gap, Davies-Bouldin), data normalization formulas (metric data, interval-valued symbolic data), data generation (typical and non-typical data), HINoV method, replication analysis, linear ordering methods, spectral clustering, agreement indices between two partitions, plot functions (for categorical and symbolic interval-valued data). (MILLIGAN, G.W., COOPER, M.C. (1985) <doi:10.1007/BF02294245>, HUBERT, L., ARABIE, P. (1985) <doi:10.1007%2FBF01908075>, RAND, W.M. (1971) <doi:10.1080/01621459.1971.10482356>, JAJUGA, K., WALESIAK, M. (2000) <doi:10.1007/978-3-642-57280-7_11>, MILLIGAN, G.W., COOPER, M.C. (1988) <doi:10.1007/BF01897163>, JAJUGA, K., WALESIAK, M., BAK, A. (2003) <doi:10.1007/978-3-642-55721-7_12>, DAVIES, D.L., BOULDIN, D.W. (1979) <doi:10.1109/TPAMI.1979.4766909>, CALINSKI, T., HARABASZ, J. (1974) <doi:10.1080/03610927408827101>, HUBERT, L. (1974) <doi:10.1080/01621459.1974.10480191>, TIBSHIRANI, R., WALTHER, G., HASTIE, T. (2001) <doi:10.1111/1467-9868.00293>, BRECKENRIDGE, J.N. (2000) <doi:10.1207/S15327906MBR3502_5>, WALESIAK, M., DUDEK, A. (2008) <doi:10.1007/978-3-540-78246-9_11>).
Author: Marek Walesiak <marek.walesiak@ue.wroc.pl>, Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>

Diff between clusterSim versions 0.48-2 dated 2019-11-21 and 0.48-3 dated 2019-12-13

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More information about clusterSim at CRAN
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Package bayest updated to version 1.1 with previous version 1.0 dated 2019-08-02

Title: Bayesian t-Test
Description: Provides an Markov-Chain-Monte-Carlo algorithm for Bayesian t-tests on the effect size. The underlying Gibbs sampler is based on a two-component Gaussian mixture and approximates the posterior distributions of the effect size, the difference of means and difference of standard deviations. A posterior analysis of the effect size via the region of practical equivalence is provided, too. For more details about the Gibbs sampler see Kelter (2019) <arXiv:1906.07524>.
Author: Riko Kelter
Maintainer: Riko Kelter <riko.kelter@uni-siegen.de>

Diff between bayest versions 1.0 dated 2019-08-02 and 1.1 dated 2019-12-13

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More information about bayest at CRAN
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New package yamlet with initial version 0.2.1
Package: yamlet
Type: Package
Title: Store Data Specification as YAML
Version: 0.2.1
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: A data specification is useful both for developing and documenting data. The 'yamlet' package reads YAML-formatted metadata and applies it as data item attributes. Data and metadata are stored independently and optionally associated by naming conventions. For compact representation, keys label and guide are assigned by default to the first two anonymous values for each named item. Defaults can be over-ridden by stored metadata or by function arguments. See package?yamlet and ?decorate.data.frame.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: yaml, csv, encode, ggplot2
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2019-12-04 13:13:26 UTC; tim.bergsma
Repository: CRAN
Date/Publication: 2019-12-13 10:50:03 UTC

More information about yamlet at CRAN
Permanent link

Package mrbsizeR updated to version 1.2.1 with previous version 1.2 dated 2019-12-06

Title: Scale Space Multiresolution Analysis of Random Signals
Description: A method for the multiresolution analysis of spatial fields and images to capture scale-dependent features. mrbsizeR is based on scale space smoothing and uses differences of smooths at neighbouring scales for finding features on different scales. To infer which of the captured features are credible, Bayesian analysis is used. The scale space multiresolution analysis has three steps: (1) Bayesian signal reconstruction. (2) Using differences of smooths, scale-dependent features of the reconstructed signal can be found. (3) Posterior credibility analysis of the differences of smooths created. The method has first been proposed by Holmstrom, Pasanen, Furrer, Sain (2011) <DOI:10.1016/j.csda.2011.04.011>. Matlab code is available under <http://cc.oulu.fi/~lpasanen/MRBSiZer/>.
Author: Thimo Schuster [aut], Roman Flury [cre, aut], Leena Pasanen [ctb], Reinhard Furrer [ctb]
Maintainer: Roman Flury <roman.flury@math.uzh.ch>

Diff between mrbsizeR versions 1.2 dated 2019-12-06 and 1.2.1 dated 2019-12-13

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Package ICAMS updated to version 2.0.10 with previous version 2.0.8 dated 2019-07-24

Title: In-depth Characterization and Analysis of Mutational Signatures ('ICAMS')
Description: Analysis and visualization of experimentally elucidated mutational signatures -- the kind of analysis and visualization in Boot et al., "In-depth characterization of the cisplatin mutational signature in human cell lines and in esophageal and liver tumors", Genome Research 2018, <doi:10.1101/gr.230219.117>. 'ICAMS' stands for In-depth Characterization and Analysis of Mutational Signatures. 'ICAMS' has functions to read in variant call files (VCFs) and to collate the corresponding catalogs of mutational spectra and to analyze and plot catalogs of mutational spectra and signatures. Handles both "counts-based" and "density-based" catalogs of mutational spectra or signatures.
Author: Steve Rozen, Nanhai Jiang, Arnoud Boot, Mo Liu
Maintainer: Steve Rozen <steverozen@gmail.com>

Diff between ICAMS versions 2.0.8 dated 2019-07-24 and 2.0.10 dated 2019-12-13

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More information about ICAMS at CRAN
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Package HelpersMG updated to version 3.9 with previous version 3.8 dated 2019-10-06

Title: Tools for Environmental Analyses, Ecotoxicology and Various R Functions
Description: Contains many functions useful for managing 'NetCDF' files (see <http://en.wikipedia.org/wiki/NetCDF>), get tide levels on any point of the globe, get moon phase and time for sun rise and fall, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.
Author: Marc Girondot
Maintainer: Marc Girondot <marc.girondot@u-psud.fr>

Diff between HelpersMG versions 3.8 dated 2019-10-06 and 3.9 dated 2019-12-13

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Package poibin (with last version 1.4) was removed from CRAN

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

2019-12-13 1.4
2018-05-16 1.3
2013-02-14 1.2
2012-10-30 1.01
2011-04-09 1.0

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Package GPB (with last version 1.1) was removed from CRAN

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

2019-12-13 1.1
2017-02-07 1.0

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Package statsExpressions updated to version 0.1.2 with previous version 0.1.1 dated 2019-08-28

Title: Expressions with Statistical Details
Description: Statistical processing backend for 'ggstatsplot', this package creates expressions with details from statistical tests. Currently, it supports only the most common types of statistical tests: parametric, nonparametric, robust, and bayesian versions of t-test/anova, correlation analyses, contingency table analysis.
Author: Indrajeet Patil [cre, aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Chuck Powell [ctb] (<https://orcid.org/0000-0002-3606-2188>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package SparseM updated to version 1.78 with previous version 1.77 dated 2017-04-23

Title: Sparse Linear Algebra
Description: Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.
Author: Roger Koenker <rkoenker@uiuc.edu> and Pin Ng <Pin.Ng@NAU.EDU>
Maintainer: Roger Koenker <rkoenker@uiuc.edu>

Diff between SparseM versions 1.77 dated 2017-04-23 and 1.78 dated 2019-12-13

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Package GPB updated to version 1.1 with previous version 1.0 dated 2017-02-07

Title: Generalized Poisson Binomial Distribution
Description: Functions that compute the distribution functions for the Generalized Poisson Binomial distribution as described in Zhang et al. (2018)<doi: 10.1080/00949655.2018.1440294>, which provides the cdf, pmf, quantile function, and random number generation for the distribution. The C code for fast Fourier transformation (FFT) is written by Ross Ihaka from University of Auckland, which implements the FFT algorithm in Singleton (1969) <doi: 10.1109/TAU.1969.1162042>.
Author: Yili Hong [aut, cre], Man Zhang [aut, ctb], Ross Ihaka [aut, cph]
Maintainer: Yili Hong <yilihong@vt.edu>

Diff between GPB versions 1.0 dated 2017-02-07 and 1.1 dated 2019-12-13

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New package ctmle with initial version 0.1.2
Package: ctmle
Type: Package
Title: Collaborative Targeted Maximum Likelihood Estimation
Version: 0.1.2
Date: 2019-12-08
Authors@R: c(person("Cheng", "Ju", email = "jucheng1992@gmail.com", role = c("aut", "cre")),person("Susan", "Gruber", role = c("aut")),person("Richard", "Wyss", role = c("ctb")),person("Jenny","Haggstrom", role = c("ctb")),person("Mark", "van der Laan", role = c("aut", "ths")))
Maintainer: Cheng Ju <jucheng1992@gmail.com>
Description: Implements the general template for collaborative targeted maximum likelihood estimation. It also provides several commonly used C-TMLE instantiation, like the vanilla/scalable variable-selection C-TMLE (Ju et al. (2017) <doi:10.1177/0962280217729845>) and the glmnet-C-TMLE algorithm (Ju et al. (2017) <arXiv:1706.10029>).
License: GPL-2
Depends: R (>= 2.14.0), SuperLearner, tmle, glmnet, stats
Imports:
Suggests: testthat, knitr, rmarkdown, dplyr
LazyLoad: yes
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-12-13 05:53:26 UTC; jucheng
Author: Cheng Ju [aut, cre], Susan Gruber [aut], Richard Wyss [ctb], Jenny Haggstrom [ctb], Mark van der Laan [aut, ths]
Repository: CRAN
Date/Publication: 2019-12-13 09:10:02 UTC

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Package censReg updated to version 0.5-30 with previous version 0.5-26 dated 2017-03-21

Title: Censored Regression (Tobit) Models
Description: Maximum Likelihood estimation of censored regression (Tobit) models with cross-sectional and panel data.
Author: Arne Henningsen <arne.henningsen@gmail.com>
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

Diff between censReg versions 0.5-26 dated 2017-03-21 and 0.5-30 dated 2019-12-13

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Package daarem updated to version 0.4.1 with previous version 0.4 dated 2019-09-27

Title: Damped Anderson Acceleration with Epsilon Monotonicity for Accelerating EM-Like Monotone Algorithms
Description: Implements the DAAREM method for accelerating the convergence of slow, monotone sequences from smooth, fixed-point iterations such as the EM algorithm. For further details about the DAAREM method. see Henderson, N.C. and Varadhan, R. (2018) <arXiv:1803.06673>.
Author: Nicholas Henderson [cre, aut], Ravi Varadhan [aut]
Maintainer: Nicholas Henderson <nchender@umich.edu>

Diff between daarem versions 0.4 dated 2019-09-27 and 0.4.1 dated 2019-12-13

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Package poibin updated to version 1.4 with previous version 1.3 dated 2018-05-16

Title: The Poisson Binomial Distribution
Description: Implementation of both the exact and approximation methods for computing the cdf of the Poisson binomial distribution. It also provides the pmf, quantile function, and random number generation for the Poisson binomial distribution. We would like to acknowledge that the C code for FFT is adopted from R distribution (fft.c, by Ross Ihaka from University of Auckland, dated February 1997).
Author: Yili Hong
Maintainer: Yili Hong <yilihong@vt.edu>

Diff between poibin versions 1.3 dated 2018-05-16 and 1.4 dated 2019-12-13

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Package phylocurve updated to version 2.0.10 with previous version 2.0.9 dated 2017-08-09

Title: Phylogenetic Comparative Methods for High-Dimensional Traits
Description: Tools for studying the evolution of high-dimensional traits (morphometric, function-valued, etc.) including ancestral state reconstruction, estimating phylogenetic signal, and assessing correlated trait evolution. Visit <http://www.phylocurve.org> for more information.
Author: Eric W. Goolsby
Maintainer: Eric W. Goolsby <eric.goolsby.evolution@gmail.com>

Diff between phylocurve versions 2.0.9 dated 2017-08-09 and 2.0.10 dated 2019-12-13

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Package pbdSLAP updated to version 0.2-7 with previous version 0.2-6 dated 2019-06-24

Title: Programming with Big Data -- Scalable Linear Algebra Packages
Description: Utilizing scalable linear algebra packages mainly including 'BLACS', 'PBLAS', and 'ScaLAPACK' in double precision via 'pbdMPI' based on 'ScaLAPACK' version 2.0.2.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut], Brian Ripley [ctb] (Solaris & Mac)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package lqmm updated to version 1.5.5 with previous version 1.5.4 dated 2018-04-13

Title: Linear Quantile Mixed Models
Description: Functions to fit quantile regression models for hierarchical data (2-level nested designs) as described in Geraci and Bottai (2014, Statistics and Computing) <doi:10.1007/s11222-013-9381-9>. A vignette is given in Geraci (2014, Journal of Statistical Software) <doi:10.18637/jss.v057.i13> and included in the package documents. The packages also provides functions to fit quantile models for independent data and for count responses.
Author: Marco Geraci
Maintainer: Marco Geraci <geraci@mailbox.sc.edu>

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Package geepack updated to version 1.3-1 with previous version 1.3-0 dated 2019-12-12

Title: Generalized Estimating Equation Package
Description: Generalized estimating equations solver for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can also handle clustered categorical responses.
Author: Søren Højsgaard [aut, cre, cph], Ulrich Halekoh [aut, cph], Jun Yan [aut, cph], Claus Ekstrøm [ctb]
Maintainer: Søren Højsgaard <sorenh@math.aau.dk>

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Package DELTD updated to version 2.6.5 with previous version 1.3.1 dated 2019-09-24

Title: Kernel Density Estimation using Lifetime Distributions
Description: A collection of asymmetrical kernels belong to lifetime distributions for kernel density estimation is presented. Mean Squared Errors (MSE) are calculated for estimated curves. For this purpose, R functions allow the distribution to be Gamma, Exponential or Weibull. For details see Chen (2000), Jin and Kawczak (2003) and Salha et al. (2014) <doi:10.12988/pms.2014.4616>.
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0@yahoo.com>

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Package bgsmtr updated to version 0.7 with previous version 0.6 dated 2019-12-02

Title: Bayesian Group Sparse Multi-Task Regression
Description: Implementation of Bayesian multi-task regression models and was developed within the context of imaging genetics. The package can currently fit two models. The Bayesian group sparse multi-task regression model of Greenlaw et al. (2017)<doi:10.1093/bioinformatics/btx215> can be fit with implementation using Gibbs sampling. An extension of this model developed by Song, Ge et al. to accommodate both spatial correlation as well as correlation across brain hemispheres can also be fit using either mean-field variational Bayes or Gibbs sampling. The model can also be used more generally for multivariate (non-imaging) phenotypes with spatial correlation.
Author: Yin Song, Shufei Ge, Liangliang Wang, Jiguo Cao, Keelin Greenlaw, Mary Lesperance, Farouk S. Nathoo
Maintainer: Yin Song <yinsong@uvic.ca>

Diff between bgsmtr versions 0.6 dated 2019-12-02 and 0.7 dated 2019-12-13

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