Tue, 09 Apr 2019

Package wdpar updated to version 0.0.3 with previous version 0.0.2 dated 2019-02-12

Title: Interface to the World Database on Protected Areas
Description: Fetch and clean data from the World Database on Protected Areas (WDPA). Data is obtained from Protected Planet <http://protectedplanet.net>.
Author: Jeffrey O Hanson [aut, cre]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

Diff between wdpar versions 0.0.2 dated 2019-02-12 and 0.0.3 dated 2019-04-09

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New package TULIP with initial version 1.0
Package: TULIP
Title: A Toolbox for Linear Discriminant Analysis with Penalties
Version: 1.0
Description: Integrates several popular high-dimensional methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and user-friendly toolbox for linear, semi-parametric and tensor-variate classification as mentioned in Yuqing Pan, Qing Mai and Xin Zhang (2019) <arXiv:1904.03469>. Functions are included for covariate adjustment, model fitting, cross validation and prediction.
Depends: R (>= 3.1.1)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: tensr, Matrix, MASS, glmnet, methods
NeedsCompilation: yes
Packaged: 2019-04-09 14:36:54 UTC; yp15c
Author: Yuqing Pan <yuqing.pan@stat.fsu.edu>, Qing Mai <mai@stat.fsu.edu>, Xin Zhang <henry@stat.fsu.edu>
Maintainer: Yuqing Pan <yuqing.pan@stat.fsu.edu>
Repository: CRAN
Date/Publication: 2019-04-09 21:46:25 UTC

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Package ssh updated to version 0.6 with previous version 0.5 dated 2019-03-27

Title: Secure Shell (SSH) Client for R
Description: Connect to a remote server over SSH to transfer files via SCP, setup a secure tunnel, or run a command or script on the host while streaming stdout and stderr directly to the client.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between ssh versions 0.5 dated 2019-03-27 and 0.6 dated 2019-04-09

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Package rblt updated to version 0.2.4.0 with previous version 0.2.3.6 dated 2019-02-03

Title: Bio-Logging Toolbox
Description: An R-shiny application to plot datalogger time series at a microsecond precision as Acceleration, Temperature, Pressure, Light intensity from CATS, AXY-TREK LUL and WACU bio-loggers. It is possible to link behavioral labels extracted from 'BORIS' software <http://www.boris.unito.it> or manually written in a csv file. CATS bio-logger are manufactured by <http://www.cats.is>, AXY-TREK are manufactured by <http://www.technosmart.eu> and LUL and WACU are manufactured by <http://www.iphc.cnrs.fr/-MIBE-.html>.
Author: Sebastien Geiger [aut, cre]
Maintainer: Sebastien Geiger <sebastien.geiger@iphc.cnrs.fr>

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Package dynamac updated to version 0.1.8 with previous version 0.1.7 dated 2019-02-28

Title: Dynamic Simulation and Testing for Single-Equation ARDL Models
Description: While autoregressive distributed lag (ARDL) models allow for extremely flexible dynamics, interpreting substantive significance of complex lag structures remains difficult. This package is designed to assist users in dynamically simulating and plotting the results of various ARDL models. It also contains post-estimation diagnostics, including a test for cointegration when estimating the error-correction variant of the autoregressive distributed lag model (Pesaran, Shin, and Smith 2001 <doi:10.1002/jae.616>).
Author: Soren Jordan [aut, cre, cph], Andrew Q. Philips [aut]
Maintainer: Soren Jordan <sorenjordanpols@gmail.com>

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Package DCG updated to version 0.9.3 with previous version 0.9.2 dated 2016-06-13

Title: Data Cloud Geometry (DCG): Using Random Walks to Find Community Structure in Social Network Analysis
Description: Data cloud geometry (DCG) applies random walks in finding community structures for social networks. Fushing, VanderWaal, McCowan, & Koehl (2013) (<doi:10.1371/journal.pone.0056259>).
Author: Chen Chen [aut], Jian Jin [aut], Jessica Vandeleest [aut, cre], Brianne Beisner [aut], Brenda McCowan [aut, cph], Hsieh Fushing [aut, cph]
Maintainer: Jessica Vandeleest <vandelee@ucdavis.edu>

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Package bssm updated to version 0.1.7 with previous version 0.1.6-1 dated 2018-11-22

Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space Models
Description: Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo and parallel importance sampling type weighted Markov chain Monte Carlo (Vihola, Helske, and Franks, 2017, <arXiv:1609.02541>). Gaussian, Poisson, binomial, or negative binomial observation densities and basic stochastic volatility models with Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package nlme updated to version 3.1-139 with previous version 3.1-138 dated 2019-04-07

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), R-core [aut, cre]
Maintainer: R-core <R-core@R-project.org>

Diff between nlme versions 3.1-138 dated 2019-04-07 and 3.1-139 dated 2019-04-09

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Package GetLattesData updated to version 1.3 with previous version 1.2 dated 2018-10-11

Title: Reading Bibliometric Data from Lattes Platform
Description: A simple API for downloading and reading xml data directly from Lattes <http://lattes.cnpq.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between GetLattesData versions 1.2 dated 2018-10-11 and 1.3 dated 2019-04-09

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Package ggthemes updated to version 4.1.1 with previous version 4.1.0 dated 2019-02-19

Title: Extra Themes, Scales and Geoms for 'ggplot2'
Description: Some extra themes, geoms, and scales for 'ggplot2'. Provides 'ggplot2' themes and scales that replicate the look of plots by Edward Tufte, Stephen Few, 'Fivethirtyeight', 'The Economist', 'Stata', 'Excel', and 'The Wall Street Journal', among others. Provides 'geoms' for Tufte's box plot and range frame.
Author: Jeffrey B. Arnold [aut, cre] (<https://orcid.org/0000-0001-9953-3904>), Gergely Daroczi [ctb], Bo Werth [ctb], Brian Weitzner [ctb], Joshua Kunst [ctb], Baptise Auguie [ctb], Bob Rudis [ctb], Hadley Wickham [ctb] (Code from the ggplot2 package.), Justin Talbot [ctb] (Code from the labeling package), Joshua London [ctb]
Maintainer: Jeffrey B. Arnold <jeffrey.arnold@gmail.com>

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Package ggiraph updated to version 0.6.1 with previous version 0.6.0 dated 2018-11-01

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

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Package remotes updated to version 2.0.3 with previous version 2.0.2 dated 2018-10-30

Title: R Package Installation from Remote Repositories, Including 'GitHub'
Description: Download and install R packages stored in 'GitHub', 'BitBucket', or plain 'subversion' or 'git' repositories. This package provides the 'install_*' functions in 'devtools'. Indeed most of the code was copied over from 'devtools'.
Author: Gábor Csárdi [aut, cre], Hadley Wickham [aut], Winston Chang [aut], Jim Hester [aut], RStudio [cph], Martin Morgan [aut], Dan Tenenbaum [aut], Mango Solutions [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between remotes versions 2.0.2 dated 2018-10-30 and 2.0.3 dated 2019-04-09

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New package rabhit with initial version 0.1.0.0
Package: rabhit
Type: Package
Title: Inference Tool for Antibody Haplotype
Version: 0.1.0.0
Authors@R: c(person("Ayelet", "Peres", role=c("aut","cre"), email="peresay@biu.ac.il"), person("Moriah", "Gidoni", role=c("aut"), email="moriah.cohen@biu.ac.il"), person("Gur", "Yaari", role=c("aut","cph"), email="gur.yaari@biu.ac.il"))
Description: Infers V-D-J haplotypes and gene deletions from AIRR-seq data, based on IGHJ, IGHD or IGHV as anchor, by adapting a Bayesian framework. It also calculates a Bayes factor, a number that indicates the certainty level of the inference, for each haplotyped gene. Citation: Gidoni, et al (2019) <doi:10.1038/s41467-019-08489-3>.
License: CC BY-SA 4.0
URL: https://yaarilab.bitbucket.io/RAbHIT/
BugReports: https://bitbucket.org/yaarilab/haplotyper/issues
LazyData: true
BuildVignettes: true
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 3.2.5), ggplot2 (>= 2.0.0)
Imports: dplyr (>= 0.5.0), reshape2, plotly (>= 4.7.1), gtools (>= 3.5.0), cowplot (>= 0.9.1), stats, dendextend (>= 1.9.0), data.table, ggdendro (>= 0.1.20), gridExtra, alakazam (>= 0.2.10), tigger (>= 0.2.11), methods, htmlwidgets, gtable, grDevices, rlang, RColorBrewer, tidyr
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.1
NeedsCompilation: no
Collate: 'Data.R' 'rabhit.R' 'internal_functions.R' 'functions.R' 'graphic_functions.R'
Packaged: 2019-04-09 15:01:26 UTC; ayelet
Author: Ayelet Peres [aut, cre], Moriah Gidoni [aut], Gur Yaari [aut, cph]
Maintainer: Ayelet Peres <peresay@biu.ac.il>
Repository: CRAN
Date/Publication: 2019-04-09 16:13:02 UTC

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New package noaastormevents with initial version 0.1.1
Package: noaastormevents
Type: Package
Title: Explore NOAA Storm Events Database
Version: 0.1.1
Authors@R: c(person("Brooke", "Anderson", email = "brooke.anderson@colostate.edu", role = c("aut", "cre")), person("Ziyu", "Chen", email = "zailchen17@icloud.com", role = "aut"))
Description: Allows users to explore and plot data from the National Oceanic and Atmospheric Administration (NOAA) Storm Events database through R for United States counties. Functionality includes matching storm event listings by time and location to hurricane best tracks data. This work was supported by grants from the Colorado Water Center, the National Institute of Environmental Health Sciences (R00ES022631) and the National Science Foundation (1331399).
URL: https://github.com/geanders/noaastormevents
BugReports: https://github.com/geanders/noaastormevents/issues
License: GPL (>= 2)
LazyData: TRUE
Imports: choroplethr (>= 3.6.3), choroplethrMaps (>= 1.0.1), data.table (>= 1.12.0), dplyr (>= 0.8.0), forcats (>= 0.4.0), ggplot2 (>= 3.1.0), htmltab (>= 0.7.1), hurricaneexposure (>= 0.1.0), lubridate (>= 1.7.4), maps (>= 3.3.0), plyr (>= 1.8.4), RColorBrewer (>= 1.1.2), rlang (>= 0.3.3), stringr (>= 1.4.0), tidyr (>= 0.8.3), viridis (>= 0.5.1), XML (>= 3.98-1.18)
RoxygenNote: 6.1.1
Depends: R (>= 3.5)
Suggests: hurricaneexposuredata (>= 0.0.2), knitr (>= 1.22.0), pander (>= 0.6.3), rmarkdown (>= 1.12.0), testthat (>= 2.0.1), tibble (>= 2.0.1)
VignetteBuilder: knitr
Additional_repositories: https://geanders.github.io/drat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-04-02 23:26:44 UTC; georgianaanderson
Author: Brooke Anderson [aut, cre], Ziyu Chen [aut]
Maintainer: Brooke Anderson <brooke.anderson@colostate.edu>
Repository: CRAN
Date/Publication: 2019-04-09 16:32:43 UTC

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New package SurrogateOutcome with initial version 1.0
Package: SurrogateOutcome
Type: Package
Title: Estimation of the Proportion of Treatment Effect Explained by Surrogate Outcome Information
Version: 1.0
Date: 2019-04-04
Author: Layla Parast
Maintainer: Layla Parast <parast@rand.org>
Description: Provides functions to estimate the proportion of treatment effect on a censored primary outcome that is explained by the treatment effect on a censored surrogate outcome/event. All methods are described in detail in "Assessing the Value of a Censored Surrogate Outcome" by Parast L, Tian L, and Cai T which is currently in press at Lifetime Data Analysis. The main functions are (1) R.q.event() which calculates the proportion of the treatment effect (the difference in restricted mean survival time at time t) explained by surrogate outcome information observed up to a selected landmark time, (2) R.t.estimate() which calculates the proportion of the treatment effect explained by primary outcome information only observed up to a selected landmark time, and (3) IV.event() which calculates the incremental value of the surrogate outcome information.
License: GPL
Imports: stats, survival
NeedsCompilation: no
Packaged: 2019-04-05 16:34:29 UTC; parast
Repository: CRAN
Date/Publication: 2019-04-09 15:05:21 UTC

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New package STRAH with initial version 1.0
Package: STRAH
Type: Package
Title: Short Tandem Repeats Analysis of Hotspot Zones
Version: 1.0
Authors@R: c(person("Philipp", "Hermann", role = c("aut", "cre"), email = "philipp.hermann@jku.at", comment = c(ORCID = "https://orcid.org/0000-0003-4556-6297")), person("Monika", "Heinzl", role = "aut", email = "monika.heinzl@edumail.at"), person("Angelika", "Heissl", role = "ctb"), person("Irene", "Tiemann-Boege", role = "ctb", comment = c(ORCID = "https://orcid.org/0000-0002-3621-7020")), person("Andreas", "Futschik", role = "ctb", comment = c(ORCID = "https://orcid.org/0000-0002-7980-0304")))
Author: Philipp Hermann [aut, cre] (<https://orcid.org/0000-0003-4556-6297>), Monika Heinzl [aut], Angelika Heissl [ctb], Irene Tiemann-Boege [ctb] (<https://orcid.org/0000-0002-3621-7020>), Andreas Futschik [ctb] (<https://orcid.org/0000-0002-7980-0304>)
Maintainer: Philipp Hermann <philipp.hermann@jku.at>
Description: Searches for short tandem repeats (STR) in a specified region of any genome. This analysis can be expanded such that several regions (chromosomes) are studied. These STRs can be grouped into hotspot as well as flanking regions of user specified width. Hotspots are defined by the double strand break maps from Pratto et al. (2014) <doi:10.1126/science.1256442>. Moreover, the user can also search for a specified motif in a DNAStringSet-object, or a fasta-file, or a specified region of any genome. For an application of STR detections please see Heissl et al. (2018) <doi:10.1101/431841>.
Imports: Biostrings (>= 2.38.4), BSgenome, BSgenome.Hsapiens.UCSC.hg19, BiocManager, methods
Suggests: BSgenome.Ptroglodytes.UCSC.panTro5
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
BugReports: https://github.com/PhHermann/STRAH/issues
RoxygenNote: 6.1.1
URL: https://github.com/PhHermann/STRAH
NeedsCompilation: no
Packaged: 2019-04-08 06:58:00 UTC; philipp
Repository: CRAN
Date/Publication: 2019-04-09 15:05:25 UTC

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Package seqHMM updated to version 1.0.11 with previous version 1.0.10 dated 2019-01-26

Title: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series
Description: Designed for fitting hidden (latent) Markov models and mixture hidden Markov models for social sequence data and other categorical time series. Also some more restricted versions of these type of models are available: Markov models, mixture Markov models, and latent class models. The package supports models for one or multiple subjects with one or multiple parallel sequences (channels). External covariates can be added to explain cluster membership in mixture models. The package provides functions for evaluating and comparing models, as well as functions for visualizing of multichannel sequence data and hidden Markov models. Models are estimated using maximum likelihood via the EM algorithm and/or direct numerical maximization with analytical gradients. All main algorithms are written in C++ with support for parallel computation. Documentation is available via several vignettes in this page, and the paper by Helske and Helske (2019, <doi:10.18637/jss.v088.i03>).
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Satu Helske [aut] (<https://orcid.org/0000-0003-0532-0153>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between seqHMM versions 1.0.10 dated 2019-01-26 and 1.0.11 dated 2019-04-09

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Package rcompanion updated to version 2.1.7 with previous version 2.1.1 dated 2019-03-02

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support "Summary and Analysis of Extension Program Evaluation in R" and "An R Companion for the Handbook of Biological Statistics". Vignettes are available at <http://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

Diff between rcompanion versions 2.1.1 dated 2019-03-02 and 2.1.7 dated 2019-04-09

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New package MBCbook with initial version 0.1
Encoding: UTF-8
Package: MBCbook
Type: Package
Title: Companion Package for the Book "Model-Based Clustering and Classification for Data Science" by Bouveyron et al. (2019, ISBN:9781108644181).
Version: 0.1
Date: 2019-04-11
Author: Charles Bouveyron and Gilles Celeux and T. Brendan Murphy and Adrian E. Raftery
Maintainer: Charles Bouveyron <charles.bouveyron@gmail.com>
Depends: R (>= 3.1.0), mclust, Rmixmod, MASS, mvtnorm
Suggests: network, jpeg
Description: The companion package provides all original data sets and functions that are used in the book "Model-Based Clustering and Classification for Data Science" by Charles Bouveyron, Gilles Celeux, T. Brendan Murphy and Adrian E. Raftery (2019, ISBN:9781108644181).
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-04-09 13:39:59 UTC; bouveyro
Repository: CRAN
Date/Publication: 2019-04-09 15:15:17 UTC

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New package CEAmarkov with initial version 0.1.0
Package: CEAmarkov
Type: Package
Title: Cost-Effectiveness Analysis using Markov Models
Version: 0.1.0
Author: Noga Gershon, Yakir Berchenko
Maintainer: Noga Gershon <nogagers@post.bgu.ac.il>
Description: Provides an accurate, fast and easy way to perform cost-effectiveness analyses. This package can be used to validate results generated using different methods and can help create a standard for cost-effectiveness analyses, that will help compare results from different studies.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stringr, WHO, xml2
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-08 17:04:09 UTC; noga
Repository: CRAN
Date/Publication: 2019-04-09 15:15:21 UTC

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Package echarts4r updated to version 0.2.2 with previous version 0.2.1 dated 2019-01-05

Title: Create Interactive Graphs with 'Echarts JavaScript' Version 4
Description: Easily create interactive charts by leveraging the 'Echarts Javascript' library which includes 34 chart types, themes, 'Shiny' proxies and animations.
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>

Diff between echarts4r versions 0.2.1 dated 2019-01-05 and 0.2.2 dated 2019-04-09

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New package mvgraphnorm with initial version 1.81
Package: mvgraphnorm
Type: Package
Title: Multivariate Gaussian Graphical Model Analysis
Version: 1.81
Date: 2019-03-30
Author: Shailesh Tripathi, Frank Emmert-Streib
Maintainer: Shailesh Tripathi <shailesh.tripathy@gmail.com>
Description: Generate constrained covariance matrix for a given graph to generate samples from a Gaussian graphical model using different algorithms for the analysis of complex network structure. We use three algorithms which are (1) Kim, K. I. et. al. (2008), <doi: 10.1186/1471-2105-9-114> (2) IPF, Speed, T. et. al. (1986) <doi: 10.1214/aos/1176349846>, (3) HTF, Hastie, T. et. al. (2009) <isbn: 9780387848570>.
Depends: R(>= 2.12.0), igraph, mvtnorm, qpgraph(>= 1.9.2)
Imports: Matrix, bnlearn, corpcor
LazyLoad: yes
License: GPL-2
Packaged: 2019-04-08 21:30:25 UTC; shailesh
Encoding: UTF-8
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2019-04-09 13:20:03 UTC

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New package cogmapr with initial version 0.9
Package: cogmapr
Title: Cognitive Mapping Tools Based on Coding of Textual Sources
Version: 0.9
Date: 2019-04-02
Authors@R: c(person("Frédéric M.", "Vanwindekens", role = c("aut", "cre"), email = "f.vanwindekens@cra.wallonie.be", comment = c(ORCID = "0000-0002-9117-7543")), person("Didier", "Stilmant", role = c("aut","ths"), email = "d.stimant@cra.wallonie.be"), person("Philippe V.", "Baret",role = c("aut","ths"), email = "philippe.baret@uclouvain.be") )
Description: Functions for building cognitive maps based on qualitative data. Inputs are textual sources (articles, transcription of qualitative interviews of agents,...). These sources have been coded using relations and are linked to (i) a table describing the variables (or concepts) used for the coding and (ii) a table describing the sources (typology of agents, ...). Main outputs are Individual Cognitive Maps (ICM), Social Cognitive Maps (all sources or group of sources) and a list of quotes linked to relations. This package is linked to the work done during the PhD of Frederic M. Vanwindekens (CRA-W / UCL) hold the 13 of May 2014 at University of Louvain in collaboration with the Walloon Agricultural Research Centre (project MIMOSA, MOERMAN fund).
URL: https://frdvnw.gitlab.io/cogmapr/
BugReports: https://gitlab.com/FrdVnW/cogmapr/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1.9000
Imports: DBI, grDevices, methods, utils, graph, Rgraphviz, grid, ggplot2, magrittr, car, dplyr, tidyr, knitr, pander
Suggests: testthat, rmarkdown
Maintainer: Frédéric M. Vanwindekens <f.vanwindekens@cra.wallonie.be>
NeedsCompilation: no
Packaged: 2019-04-08 15:28:30 UTC; fred
Author: Frédéric M. Vanwindekens [aut, cre] (<https://orcid.org/0000-0002-9117-7543>), Didier Stilmant [aut, ths], Philippe V. Baret [aut, ths]
Repository: CRAN
Date/Publication: 2019-04-09 13:02:51 UTC

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New package spinifex with initial version 0.1.0
Package: spinifex
Title: Manual Tours, Manual Control of Dynamic Projections of Numeric Multivariate Data
Version: 0.1.0
Authors@R: c( person("Nicholas", "Spyrison", email = "spyrison@gmail.com", role = c("aut", "cre")), person("Dianne", "Cook", role = c("aut", "ths")) )
Description: Generates the path for manual tours ['Cook' & 'Buja' (1997) <doi:10.2307/1390747>]. Tours are generally available in the 'tourr' package ['Wickham' 'et' 'al.' (2011) <doi:10.18637/jss.v040.i02>]. The grand tour is an algorithm that shows all possible projections given sufficient time. Guided uses projection pursuit to steer the tour towards interesting projections. The 'spinifex' package implements manual control, where the contribution of a selected variable can be adjusted between -1 to 1, to examine the sensitivity of structure in the data to that variable. The result is an animation where the variable is toured into and out of the projection completely, which can be rendered using the 'gganimate' and 'plotly' packages.
Depends: R (>= 3.4.0), tourr
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/nspyrison/spinifex/
BugReports: https://github.com/nspyrison/spinifex/issues
Imports: dplyr, GGally, ggplot2, plotly, tibble, webshot
Suggests: gganimate, gifski, knitr, png, rmarkdown, RColorBrewer
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-05 03:50:28 UTC; spyri
Author: Nicholas Spyrison [aut, cre], Dianne Cook [aut, ths]
Maintainer: Nicholas Spyrison <spyrison@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-09 12:00:04 UTC

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New package rainfarmr with initial version 0.1
Package: rainfarmr
Title: Stochastic Precipitation Downscaling with the RainFARM Method
Version: 0.1
Authors@R: person("Jost", "von Hardenberg", email = "j.vonhardenberg@isac.cnr.it", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-5312-8070"))
URL: https://github.com/jhardenberg/rainfarmr
BugReports: https://github.com/jhardenberg/rainfarmr
Description: An implementation of the RainFARM (Rainfall Filtered Autoregressive Model) stochastic precipitation downscaling method (Rebora et al. (2006) <doi:10.1175/JHM517.1>). Adapted for climate downscaling according to D'Onofrio et al. (2018) <doi:10.1175/JHM-D-13-096.1> and for complex topography as in Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>. The RainFARM method is based on the extrapolation to small scales of the Fourier spectrum of a large-scale precipitation field, using a fixed logarithmic slope and random phases at small scales, followed by a nonlinear transformation of the resulting linearly correlated stochastic field. RainFARM allows to generate ensembles of spatially downscaled precipitation fields which conserve precipitation at large scales and whose statistical properties are consistent with the small-scale statistics of observed precipitation, based only on knowledge of the large-scale precipitation field.
Depends: R (>= 3.1.0)
License: Apache License 2.0
LazyData: true
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-04-08 09:12:16 UTC; jost
Author: Jost von Hardenberg [aut, cre, cph] (<https://orcid.org/0000-0002-5312-8070>)
Maintainer: Jost von Hardenberg <j.vonhardenberg@isac.cnr.it>
Repository: CRAN
Date/Publication: 2019-04-09 12:10:03 UTC

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Package MuMIn updated to version 1.43.6 with previous version 1.42.1 dated 2018-07-23

Title: Multi-Model Inference
Description: Tools for performing model selection and model averaging. Automated model selection through subsetting the maximum model, with optional constraints for model inclusion. Model parameter and prediction averaging based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.
Author: Kamil Bartoń
Maintainer: Kamil Bartoń <kamil.barton@go2.pl>

Diff between MuMIn versions 1.42.1 dated 2018-07-23 and 1.43.6 dated 2019-04-09

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Package JFE updated to version 2.1.1 with previous version 2.0 dated 2019-01-26

Title: Tools and GUI for Analyzing Data of Just Finance and Econometrics
Description: Support the analysis of global assets selection and portfolio backtesting, we also enhance the computation of some performance ratios of 'PerformanceAnalytics'.
Author: Ho Tsung-wu
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

Diff between JFE versions 2.0 dated 2019-01-26 and 2.1.1 dated 2019-04-09

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New package ingredients with initial version 0.3.1
Package: ingredients
Title: Effects and Importances of Model Ingredients
Version: 0.3.1
Authors@R: c(person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8423-1823")), person("Hubert", "Baniecki", role = "ctb"))
Description: Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependency() for partial dependency plots, conditional_dependency() for conditional dependency plots, accumulated_dependency() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, theme_drwhy() with a 'ggplot2' skin for all plots, generic print() and plot() for better usability of selected explainers. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Depends: R (>= 3.0)
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: DALEX, ggplot2
Suggests: gbm, gower, randomForest, titanic, xgboost, testthat, dplyr, r2d3, ggpubr, jsonlite
URL: https://ModelOriented.github.io/ingredients/
BugReports: https://github.com/ModelOriented/ingredients/issues
NeedsCompilation: no
Packaged: 2019-04-06 11:31:56 UTC; pbiecek
Author: Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>), Hubert Baniecki [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-09 12:10:08 UTC

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New package gluvarpro with initial version 1.0
Package: gluvarpro
Type: Package
Title: Glucose Variability Measures from Continuous Glucose Monitoring Data
Version: 1.0
Imports: ggplot2, pracma, scales, stats, tidyr, zoo
Author: Sergio Contador
Maintainer: Sergio Contador <scontador@ucm.es>
Description: Calculate different glucose variability measures, including average measures of glycemia, measures of glycemic variability and measures of glycemic risk, from continuous glucose monitoring data obtained from diabetic patients. Boris P. Kovatchev, Erik Otto, Daniel Cox, Linda Gonder-Frederick, and William Clarke (2006) <doi:10.2337/dc06-1085>. Jean-Pierre Le Floch, Philippe Escuyer, Eric Baudin, Dominique Baudon, and Leon Perlemuter (1990) <doi:10.2337/diacare.13.2.172>. C.M. McDonnell, S.M. Donath, S.I. Vidmar, G.A. Werther, and F.J. Cameron (2005) <doi:10.1089/dia.2005.7.253>. Everitt, Brian (1998) <doi:10.1111/j.1751-5823.2011.00149_2.x>. Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) <doi:10.2307/2234167>. Dougherty, R. L., Edelman, A. and Hyman, J. M. (1989) <doi:10.1090/S0025-5718-1989-0962209-1>. Tukey, J. W. (1977) <doi:10.1016/0377-2217(86)90209-2>. F. John Service (2013) <doi:10.2337/db12-1396>. Edmond A. Ryan, Tami Shandro, Kristy Green, Breay W. Paty, Peter A. Senior, David Bigam, A.M. James Shapiro, and Marie-Christine Vantyghem (2004) <doi:10.2337/diabetes.53.4.955>. Seniz Sevimer Tuncan, Mehmet Uzunlulu, Ozge telci caklili, Hasan Huseyin Mutlu, and Aytekin Oguz (2016) <doi:10.5152/cjms.2016.109>. Sarah E. Siegelaar, Frits Holleman, Joost B. L. Hoekstra, and J. Hans DeVries (2010) <doi:10.1210/er.2009-0021>. Gabor Marics, Zsofia Lendvai, Csaba Lodi, Levente Koncz, David Zakarias, Gyorgy Schuster, Borbala Mikos, Csaba Hermann, Attila J. Szabo, and Peter Toth-Heyn (2015) <doi:10.1186/s12938-015-0035-3>.
License: GPL-2
Encoding: UTF-8
RoxygenNote: 6.1.1
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2019-04-05 10:57:30 UTC; master
Repository: CRAN
Date/Publication: 2019-04-09 12:00:08 UTC

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New package DET with initial version 1.0.0
Package: DET
Type: Package
Title: Representation of DET Curve with Confidence Intervals
Version: 1.0.0
Authors@R: c( person("García-Ródenas, Álvaro", role = c("aut","cre"), email = "alvaro.garcia9@um.es"), person("Franco, Manuel", role = c("aut"), email = "mfranco@um.es"), person("Vivo, Juana-María", role = c("aut"), email = "jmvivomo@um.es"), person("Fernández-Breis, Jesualdo T.", role = c("aut"), email = "jfernand@um.es"), person("Font, Roberto", role = c("aut"), email = "roberto.font@biometricvox.com"))
Description: Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of different systems.
License: GPL-2
Encoding: UTF-8
Imports: pROC, doParallel, parallel
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-04-08 10:42:01 UTC; meteo
Author: García-Ródenas, Álvaro [aut, cre], Franco, Manuel [aut], Vivo, Juana-María [aut], Fernández-Breis, Jesualdo T. [aut], Font, Roberto [aut]
Maintainer: "García-Ródenas, Álvaro" <alvaro.garcia9@um.es>
Repository: CRAN
Date/Publication: 2019-04-09 12:12:53 UTC

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Package tsfknn updated to version 0.2.0 with previous version 0.1.0 dated 2018-03-27

Title: Time Series Forecasting Using Nearest Neighbors
Description: Allows to forecast time series using nearest neighbors regression Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J. Rivera (2017) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. The nearest neighbors used in a prediction can be consulted and plotted.
Author: Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

Diff between tsfknn versions 0.1.0 dated 2018-03-27 and 0.2.0 dated 2019-04-09

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Package tfdatasets updated to version 1.13.1 with previous version 1.9 dated 2018-08-25

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>

Diff between tfdatasets versions 1.9 dated 2018-08-25 and 1.13.1 dated 2019-04-09

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Package sigmajs updated to version 0.1.3 with previous version 0.1.2 dated 2018-11-18

Title: Interface to 'Sigma.js' Graph Visualization Library
Description: Interface to 'sigma.js' graph visualization library including animations, plugins and shiny proxies.
Author: John Coene [aut, cre] (<https://orcid.org/0000-0002-6637-4107>)
Maintainer: John Coene <jcoenep@gmail.com>

Diff between sigmajs versions 0.1.2 dated 2018-11-18 and 0.1.3 dated 2019-04-09

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 sigmajs-0.1.3/sigmajs/DESCRIPTION                                                                 |   10 
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 sigmajs-0.1.3/sigmajs/NAMESPACE                                                                   |   22 
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 sigmajs-0.1.3/sigmajs/R/force.R                                                                   |    4 
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 sigmajs-0.1.3/sigmajs/R/sigmajs.R                                                                 |   19 
 sigmajs-0.1.3/sigmajs/R/utils.R                                                                   |   22 
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 sigmajs-0.1.3/sigmajs/README.md                                                                   |    4 
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 sigmajs-0.1.3/sigmajs/inst/doc/shiny.R                                                            |   15 
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 sigmajs-0.1.3/sigmajs/tests/testthat.R                                                            |    2 
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 sigmajs-0.1.3/sigmajs/vignettes/layout.Rmd                                                        |    6 
 sigmajs-0.1.3/sigmajs/vignettes/shiny.Rmd                                                         |   29 
 82 files changed, 6373 insertions(+), 11840 deletions(-)

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New package reinforcelearn with initial version 0.2.1
Package: reinforcelearn
Type: Package
Title: Reinforcement Learning
Version: 0.2.1
Authors@R: person("Markus", "Dumke", email = {"markusdumke@gmail.com"}, role = c("aut", "cre"))
Description: Implements reinforcement learning environments and algorithms as described in Sutton & Barto (1998, ISBN:0262193981). The Q-Learning algorithm can be used with function approximation, eligibility traces (Singh & Sutton (1996) <doi:10.1007/BF00114726>) and experience replay (Mnih et al. (2013) <arXiv:1312.5602>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
RoxygenNote: 6.1.1
BugReports: https://github.com/markusdumke/reinforcelearn/issues
URL: http://markusdumke.github.io/reinforcelearn
SystemRequirements: (Python and gym only required if gym environments are used)
Imports: checkmate (>= 1.8.4), R6 (>= 2.2.2), nnet (>= 7.3-12), purrr (>= 0.2.4)
Suggests: reticulate, keras, knitr, rmarkdown, testthat, covr, lintr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-04-08 19:08:56 UTC; Markus
Author: Markus Dumke [aut, cre]
Maintainer: Markus Dumke <markusdumke@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-09 11:50:08 UTC

More information about reinforcelearn at CRAN
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Package QuantumOps updated to version 2.5.1 with previous version 2.5 dated 2019-03-15

Title: Performs Common Linear Algebra Operations Used in Quantum Computing
Description: Contains basic structures and operations used frequently in quantum computing. Intended to be a convenient tool to help in practicing the linear algebra involved in quantum operations. Has functionality for the creation of arbitrarily sized kets, bras, matrices and implements quantum gates, inner products, and tensor products. Contains all commonly used quantum gates, creates arbitrarily controlled versions of all gates, and can simulate complete or partial measurements of kets. Implements modular arithmetic commonly found in quantum algorithms and can convert functions into equivalent quantum gates. It can also simulate larger applications, including the Quantum Fourier Transform developed by Shor (1999), Shor's algorithm which factors numbers up to 21, Grover's algorithm (1996), the Quantum Approximation Optimization Algorithm (QAOA) (Farhi, Goldstone, and Gutmann 2014) <arXiv:1411.4028>, and the training of a quantum neural network developed by Schuld (2018) <arXiv:1804.00633> which can classify the MNIST dataset.
Author: Salonik Resch
Maintainer: Salonik Resch <resc0059@umn.edu>

Diff between QuantumOps versions 2.5 dated 2019-03-15 and 2.5.1 dated 2019-04-09

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New package gremlin with initial version 0.1.0.1
Package: gremlin
Type: Package
Title: Mixed-Effects REML Incorporating Generalized Inverses
Version: 0.1.0.1
Authors@R: person("Matthew", "Wolak", email = "matthewwolak@gmail.com", role = c("cre", "aut"), comment = c(ORCID="0000-0002-7962-0071"))
URL: http://github.com/matthewwolak/gremlin
BugReports: http://github.com/matthewwolak/gremlin/issues
Depends: Matrix
Imports: methods
Suggests: nadiv
LazyData: yes
NeedsCompilation: no
Description: Fit linear mixed-effects models using restricted (or residual) maximum likelihood (REML) and with generalized inverse matrices to specify covariance structures for random effects. In particular, the package is suited to fit quantitative genetic mixed models, often referred to as 'animal models' (Kruuk. 2004 <DOI: 10.1098/rstb.2003.1437>). Implements the average information algorithm as the main tool to maximize the restricted likelihood, but with other algorithms available (Meyer. 1997. Genet Sel Evol 29:97; Meyer and Smith. 1998. Genet Sel Evol 28:23.).
License: GPL-3
RoxygenNote: 6.1.1
Packaged: 2019-04-08 21:36:15 UTC; matthew
Author: Matthew Wolak [cre, aut] (<https://orcid.org/0000-0002-7962-0071>)
Maintainer: Matthew Wolak <matthewwolak@gmail.com>
Repository: CRAN
Date/Publication: 2019-04-09 11:50:14 UTC

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Package MendelianRandomization updated to version 0.4.1 with previous version 0.4.0 dated 2019-03-07

Title: Mendelian Randomization Package
Description: Encodes several methods for performing Mendelian randomization analyses with summarized data. Summarized data on genetic associations with the exposure and with the outcome can be obtained from large consortia. These data can be used for obtaining causal estimates using instrumental variable methods.
Author: Olena Yavorska <olena.yavorska@ludwig.ox.ac.uk> James Staley <james.staley@bristol.ac.uk>
Maintainer: Stephen Burgess <sb452@medschl.cam.ac.uk>

Diff between MendelianRandomization versions 0.4.0 dated 2019-03-07 and 0.4.1 dated 2019-04-09

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 MD5                            |  114 ++++++++++++------------
 R/AllClasses.R                 |    6 +
 R/AllGenerics.R                |   10 +-
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Package tpr updated to version 0.3-1.1 with previous version 0.3-1 dated 2010-04-12

Title: Temporal Process Regression
Description: Regression models for temporal process responses with time-varying coefficient.
Author: Jun Yan <jyan@stat.uconn.edu>
Maintainer: Jun Yan <jyan@stat.uconn.edu>

Diff between tpr versions 0.3-1 dated 2010-04-12 and 0.3-1.1 dated 2019-04-09

 tpr-0.3-1.1/tpr/DESCRIPTION                   |    9 
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 tpr-0.3-1.1/tpr/data/dnase.tab.xz             |only
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 tpr-0.3-1.1/tpr/inst/include/param.h          |  216 ++--
 tpr-0.3-1.1/tpr/inst/include/tnt/cholesky.h   |  192 +--
 tpr-0.3-1.1/tpr/inst/include/tnt/cmat.h       | 1210 ++++++++++++------------
 tpr-0.3-1.1/tpr/inst/include/tnt/fcscmat.h    |  330 +++---
 tpr-0.3-1.1/tpr/inst/include/tnt/fmat.h       | 1154 +++++++++++------------
 tpr-0.3-1.1/tpr/inst/include/tnt/fortran.h    |  134 +-
 tpr-0.3-1.1/tpr/inst/include/tnt/fspvec.h     |  336 +++---
 tpr-0.3-1.1/tpr/inst/include/tnt/index.h      |  166 +--
 tpr-0.3-1.1/tpr/inst/include/tnt/lapack.h     |  386 +++----
 tpr-0.3-1.1/tpr/inst/include/tnt/lu.h         |  408 ++++----
 tpr-0.3-1.1/tpr/inst/include/tnt/qr.h         |  458 ++++-----
 tpr-0.3-1.1/tpr/inst/include/tnt/region1d.h   |  742 +++++++--------
 tpr-0.3-1.1/tpr/inst/include/tnt/region2d.h   |  934 +++++++++----------
 tpr-0.3-1.1/tpr/inst/include/tnt/stopwatch.h  |  166 +--
 tpr-0.3-1.1/tpr/inst/include/tnt/subscript.h  |  116 +-
 tpr-0.3-1.1/tpr/inst/include/tnt/tnt.h        |  180 +--
 tpr-0.3-1.1/tpr/inst/include/tnt/tntmath.h    |  170 +--
 tpr-0.3-1.1/tpr/inst/include/tnt/tntreqs.h    |  140 +-
 tpr-0.3-1.1/tpr/inst/include/tnt/transv.h     |  320 +++---
 tpr-0.3-1.1/tpr/inst/include/tnt/triang.h     | 1276 +++++++++++++-------------
 tpr-0.3-1.1/tpr/inst/include/tnt/trisolve.h   |  368 +++----
 tpr-0.3-1.1/tpr/inst/include/tnt/vec.h        |  806 ++++++++--------
 tpr-0.3-1.1/tpr/inst/include/tnt/vecadaptor.h |  578 +++++------
 tpr-0.3-1.1/tpr/inst/include/tnt/version.h    |   40 
 tpr-0.3-1.1/tpr/inst/include/tntsupp.h        | 1112 +++++++++++-----------
 tpr-0.3-1.1/tpr/inst/include/utils.h          |  124 +-
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 tpr-0.3-1.1/tpr/src/param.cc                  |    4 
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 44 files changed, 6679 insertions(+), 6680 deletions(-)

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New package tbm with initial version 0.3-0
Package: tbm
Title: Transformation Boosting Machines
Version: 0.3-0
Date: 2019-04-03
Authors@R: person("Torsten", "Hothorn", role = c("aut", "cre"), email = "Torsten.Hothorn@R-project.org", comment = c(ORCID = "0000-0001-8301-0471"))
Description: Boosting the likelihood of conditional and shift transformation models.
Depends: mlt (>= 1.0-2), mboost (>= 2.8-2)
Imports: variables, basefun, sandwich, coneproj, methods
Suggests: TH.data (>= 1.0-9), tram (>= 0.2-3), survival, partykit, lattice, latticeExtra, knitr, colorspace, gamlss.data, trtf
VignetteBuilder: knitr
License: GPL-2
NeedsCompilation: no
Packaged: 2019-04-03 11:43:14 UTC; hothorn
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Repository: CRAN
Date/Publication: 2019-04-09 09:03:12 UTC

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Package tm1r updated to version 1.1.2 with previous version 1.1.1 dated 2018-10-30

Title: The Integration Between 'IBM COGNOS TM1' and R
Description: Useful functions to connect to 'TM1' <https://www.ibm.com/uk-en/marketplace/planning-and-analytics> instance from R via REST API. With the functions in the package, data can be imported from 'TM1' via mdx view or native view, data can be sent to 'TM1', processes and chores can be executed, and cube and dimension metadata information can be taken.
Author: Muhammed Ali Onder
Maintainer: Muhammed Ali Onder <muhammedalionder@gmail.com>

Diff between tm1r versions 1.1.1 dated 2018-10-30 and 1.1.2 dated 2019-04-09

 DESCRIPTION                         |    6 +++---
 MD5                                 |    7 +++++--
 R/tm1_get_data.R                    |   13 +++++++++++--
 R/tm1_get_dimension_attributes.R    |only
 README.md                           |only
 man/tm1_get_dimension_attributes.Rd |only
 6 files changed, 19 insertions(+), 7 deletions(-)

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Package RHMS updated to version 1.6 with previous version 1.5 dated 2019-03-04

Title: Hydrologic Modelling System for R Users
Description: Hydrologic modelling system is an object oriented tool which enables R users to simulate and analyze hydrologic events. The package proposes functions and methods for construction, simulation, visualization, and calibration of hydrologic systems.
Author: Rezgar Arabzadeh; Shahab Araghinejad
Maintainer: Rezgar Arabzadeh <rezgararabzadeh@ut.ac.ir>

Diff between RHMS versions 1.5 dated 2019-03-04 and 1.6 dated 2019-04-09

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 9 files changed, 56 insertions(+), 44 deletions(-)

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Package TSHRC updated to version 0.1-6 with previous version 0.1-5 dated 2017-03-27

Title: Two Stage Hazard Rate Comparison
Description: Two-stage procedure compares hazard rate functions, which may or may not cross each other.
Author: Jun Sheng, Peihua Qiu <pqiu@ufl.edu>, and Charles J. Geyer <charlie@stat.umn.edu>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

Diff between TSHRC versions 0.1-5 dated 2017-03-27 and 0.1-6 dated 2019-04-09

 DESCRIPTION  |   10 +++++-----
 MD5          |    4 ++--
 src/Makevars |    2 +-
 3 files changed, 8 insertions(+), 8 deletions(-)

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Package prettyR updated to version 2.2-3 with previous version 2.2-2 dated 2018-10-23

Title: Pretty Descriptive Stats
Description: Functions for conventionally formatting descriptive stats, reshaping data frames and formatting R output as HTML.
Author: Jim Lemon <drjimlemon@gmail.com>, Philippe Grosjean <phgrosjean@sciviews.org>
Maintainer: Jim Lemon <drjimlemon@gmail.com>

Diff between prettyR versions 2.2-2 dated 2018-10-23 and 2.2-3 dated 2019-04-09

 DESCRIPTION        |    8 ++++----
 MD5                |   16 ++++++++--------
 NEWS               |    4 ++++
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 9 files changed, 73 insertions(+), 52 deletions(-)

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Package pracma updated to version 2.2.5 with previous version 2.2.2 dated 2018-12-02

Title: Practical Numerical Math Functions
Description: Provides a large number of functions from numerical analysis and linear algebra, numerical optimization, differential equations, time series, plus some well-known special mathematical functions. Uses 'MATLAB' function names where appropriate to simplify porting.
Author: Hans W. Borchers [aut, cre]
Maintainer: Hans W. Borchers <hwborchers@googlemail.com>

Diff between pracma versions 2.2.2 dated 2018-12-02 and 2.2.5 dated 2019-04-09

 DESCRIPTION           |   12 ++++++------
 MD5                   |   36 +++++++++++++++++++-----------------
 NEWS                  |   19 +++++++++++++++++++
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 data/brown72.rda      |binary
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Package codyn updated to version 2.0.2 with previous version 2.0.1 dated 2019-03-08

Title: Community Dynamics Metrics
Description: Univariate and multivariate temporal and spatial diversity indices, rank abundance curves, and community stability measures. The functions implement measures that are either explicitly temporal and include the option to calculate them over multiple replicates, or spatial and include the option to calculate them over multiple time points. Functions fall into five categories: static diversity indices, temporal diversity indices, spatial diversity indices, rank abundance curves, and community stability measures. The diversity indices are temporal and spatial analogs to traditional diversity indices. Specifically, the package includes functions to calculate community richness, evenness and diversity at a given point in space and time. In addition, it contains functions to calculate species turnover, mean rank shifts, and lags in community similarity between two time points.
Author: Lauren Hallett [aut], Meghan L. Avolio [aut], Ian T. Carroll [aut], Sydney K. Jones [aut], A. Andrew M. MacDonald [aut], Dan F. B. Flynn [aut], Peter Slaughter [aut], Julie Ripplinger [aut], Scott L. Collins [aut], Corinna Gries [aut], Matthew B. Jones [aut, cre]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

Diff between codyn versions 2.0.1 dated 2019-03-08 and 2.0.2 dated 2019-04-09

 DESCRIPTION                               |    8 
 MD5                                       |   36 +-
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 R/RAC_difference.R                        |    4 
 R/multivariate_change_and_difference.R    |    2 
 build/vignette.rds                        |binary
 inst/doc/Community_Stability_Metrics.Rmd  |    6 
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 vignettes/Temporal_Diversity_Indices.Rmd  |   12 
 vignettes/codyn_overview.Rmd              |    2 
 19 files changed, 985 insertions(+), 340 deletions(-)

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Package RIA updated to version 1.4.2 with previous version 1.4.1 dated 2018-06-24

Title: Radiomics Image Analysis Toolbox for Medial Images
Description: Radiomics image analysis toolbox for 2D and 3D radiological images. RIA supports DICOM, NIfTI and nrrd file formats. RIA calculates first-order, gray level co-occurrence matrix, gray level run length matrix and geometry-based statistics. Almost all calculations are done using vectorized formulas to optimize run speeds. Calculation of several thousands of parameters only takes minutes on a single core of a conventional PC.
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <marton.kolossvary@gmail.com>

Diff between RIA versions 1.4.1 dated 2018-06-24 and 1.4.2 dated 2019-04-09

 DESCRIPTION             |   14 
 MD5                     |   22 
 R/create_header_nifti.R |    2 
 README.md               |    2 
 build/vignette.rds      |binary
 inst/doc/RIA.html       | 3358 +++++++++++++++++++++++++-----------------------
 man/discretize.Rd       |    4 
 man/geometry.Rd         |    3 
 man/glcm_all.Rd         |    6 
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 man/load_nrrd.Rd        |    7 
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 12 files changed, 1793 insertions(+), 1641 deletions(-)

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Package lmreg updated to version 1.2 with previous version 1.1 dated 2019-01-28

Title: Data and Functions Used in Linear Models and Regression with R: An Integrated Approach
Description: Data files and a few functions used in the book 'Linear Models and Regression with R: An Integrated Approach' by Debasis Sengupta and Sreenivas Rao Jammalamadaka (2019).
Author: Debasis Sengupta <shairiksengupta@gmail.com>, S. Rao Jammalamadaka <rao@gmail.com>, Jinwen Qiu <qjwsnow_ctw@hotmail.com>
Maintainer: Jinwen Qiu <qjwsnow_ctw@hotmail.com>

Diff between lmreg versions 1.1 dated 2019-01-28 and 1.2 dated 2019-04-09

 lmreg-1.1/lmreg/data/birthwt.rda |only
 lmreg-1.1/lmreg/man/birthwt.Rd   |only
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 lmreg-1.2/lmreg/MD5              |    8 +++-----
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 lmreg-1.2/lmreg/man/hanova.Rd    |    4 ++--
 6 files changed, 13 insertions(+), 14 deletions(-)

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Package fst updated to version 0.9.0 with previous version 0.8.10 dated 2018-12-13

Title: Lightning Fast Serialization of Data Frames for R
Description: Multithreaded serialization of compressed data frames using the 'fst' format. The 'fst' format allows for random access of stored data and compression with the LZ4 and ZSTD compressors created by Yann Collet. The ZSTD compression library is owned by Facebook Inc.
Author: Mark Klik [aut, cre, cph], Yann Collet [ctb, cph] (Yann Collet is author of the bundled LZ4 and ZSTD code and copyright holder of LZ4), Facebook, Inc. [cph] (Bundled ZSTD code)
Maintainer: Mark Klik <markklik@gmail.com>

Diff between fst versions 0.8.10 dated 2018-12-13 and 0.9.0 dated 2019-04-09

 fst-0.8.10/fst/src/flex_store_v1.cpp                 |only
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 fst-0.9.0/fst/R/fst.R                                |   23 +--
 fst-0.9.0/fst/R/fst_table.R                          |   98 +++++++++----
 fst-0.9.0/fst/R/openmp.R                             |    4 
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 fst-0.9.0/fst/man/threads_fst.Rd                     |    2 
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 fst-0.9.0/fst/src/flex_store.cpp                     |  125 +++++++---------
 fst-0.9.0/fst/src/flex_store.h                       |    4 
 fst-0.9.0/fst/src/fst_blockrunner_char.cpp           |    4 
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 fst-0.9.0/fst/src/fst_column_factory.h               |    4 
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 fst-0.9.0/fst/src/fst_type_factory.h                 |    5 
 fst-0.9.0/fst/src/fstcore/character/character_v6.cpp |    4 
 fst-0.9.0/fst/src/fstcore/factor/factor_v7.cpp       |   44 +++--
 fst-0.9.0/fst/src/fstcore/factor/factor_v7.h         |    6 
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 fst-0.9.0/fst/src/fstcore/interface/icolumnfactory.h |    2 
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 40 files changed, 554 insertions(+), 510 deletions(-)

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Package crank updated to version 1.1-2 with previous version 1.1-1 dated 2019-03-17

Title: Completing Ranks
Description: Functions for completing and recalculating rankings and sorting.
Author: Jim Lemon <drjimlemon@gmail.com>,
Maintainer: Jim Lemon <drjimlemon@gmail.com>

Diff between crank versions 1.1-1 dated 2019-03-17 and 1.1-2 dated 2019-04-09

 DESCRIPTION |    8 ++++----
 MD5         |    4 ++--
 R/spsort.R  |    3 ++-
 3 files changed, 8 insertions(+), 7 deletions(-)

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Package comprehenr updated to version 0.6.5 with previous version 0.6.0 dated 2019-03-17

Title: List Comprehensions
Description: Provides 'Python'-style list comprehensions. List comprehension expressions use usual loops (for(), while() and repeat()) and usual if() as list producers. In many cases it gives more concise notation than standard "*apply + filter" strategy.
Author: Gregory Demin [aut, cre]
Maintainer: Gregory Demin <gdemin@gmail.com>

Diff between comprehenr versions 0.6.0 dated 2019-03-17 and 0.6.5 dated 2019-04-09

 DESCRIPTION                   |    6 +-
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 inst/doc/Introduction.rmd     |   33 +++++++++++++++
 man/to_list.Rd                |   39 +++++++++++++++++-
 tests/testthat/test_to_list.R |   25 ++++++++++-
 vignettes/Introduction.rmd    |   33 +++++++++++++++
 11 files changed, 318 insertions(+), 33 deletions(-)

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