Wed, 21 Mar 2018

Package tidytext updated to version 0.1.8 with previous version 0.1.7 dated 2018-02-19

Title: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
Description: Text mining for word processing and sentiment analysis using 'dplyr', 'ggplot2', and other tidy tools.
Author: Gabriela De Queiroz [ctb], Os Keyes [ctb] (<https://orcid.org/0000-0001-5196-609X>), Kanishka Misra [ctb], David Robinson [aut], Julia Silge [aut, cre] (<https://orcid.org/0000-0002-3671-836X>)
Maintainer: Julia Silge <julia.silge@gmail.com>

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Package shinydashboard updated to version 0.7.0 with previous version 0.6.1 dated 2017-06-14

Title: Create Dashboards with 'Shiny'
Description: Create dashboards with 'Shiny'. This package provides a theme on top of 'Shiny', making it easy to create attractive dashboards.
Author: Winston Chang [aut, cre], Barbara Borges Ribeiro [aut], RStudio [cph], Almasaeed Studio [ctb, cph] (AdminLTE theme for Bootstrap), Adobe Systems Incorporated [ctb, cph] (Source Sans Pro font)
Maintainer: Winston Chang <winston@rstudio.com>

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Package Rpolyhedra updated to version 0.2.4 with previous version 0.2.3 dated 2018-03-17

Title: Polyhedra Database
Description: A polyhedra database scraped from various sources as R6 objects and 'rgl' visualizing capabilities.
Author: Alejandro Baranek [aut, com, cre, cph], Leonardo Belen [aut, com, cph]
Maintainer: Alejandro Baranek <abaranek@dc.uba.ar>

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Package rforensicbatwing updated to version 1.3.1 with previous version 1.3 dated 2014-06-27

Title: BATWING for Calculating Forensic Trace-Suspect Match Probabilities
Description: A modified version (with great help from Ian J. Wilson) of Ian J. Wilson's program BATWING for calculating forensic trace-suspect match probabilities.
Author: Mikkel Meyer Andersen and Ian J. Wilson
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>

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Package reticulate updated to version 1.6 with previous version 1.5 dated 2018-02-14

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: JJ Allaire [aut, cre], Kevin Ushey [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] (<https://orcid.org/0000-0001-5243-233X>), Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [ctb, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: JJ Allaire <jj@rstudio.com>

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Package rdrobust updated to version 0.99.1 with previous version 0.99 dated 2018-01-03

Title: Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs
Description: Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
Author: Sebastian Calonico <scalonico@bus.miami.edu>, Matias D. Cattaneo <cattaneo@umich.edu>, Max H. Farrell <max.farrell@chicagobooth.edu>, Rocio Titiunik <titiunik@umich.edu>
Maintainer: Sebastian Calonico <scalonico@bus.miami.edu>

Diff between rdrobust versions 0.99 dated 2018-01-03 and 0.99.1 dated 2018-03-21

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Package propr updated to version 3.1.8 with previous version 3.1.4 dated 2018-01-18

Title: Calculating Proportionality Between Vectors of Compositional Data
Description: The bioinformatic evaluation of gene co-expression often begins with correlation-based analyses. However, this approach lacks statistical validity when applied to relative data. This includes, for example, biological count data generated by high-throughput RNA-sequencing, chromatin immunoprecipitation (ChIP), ChIP-sequencing, Methyl-Capture sequencing, and other techniques. This package implements several metrics for proportionality, including phi [Lovell et al (2015) <DOI:10.1371/journal.pcbi.1004075>] and rho [Erb and Notredame (2016) <DOI:10.1007/s12064-015-0220-8>]. This package also implements several metrics for differential proportionality. Unlike correlation, these measures give the same result for both relative and absolute data.
Author: Thomas Quinn [aut, cre], David Lovell [aut], Ionas Erb [aut], Anders Bilgrau [ctb], Greg Gloor [ctb]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>

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Package perturbR updated to version 0.1.1 with previous version 0.1.0 dated 2017-12-01

Title: Random Perturbation of Count Matrices
Description: The perturbR() function incrementally perturbs network edges (using the rewireR function)and compares the resulting community detection solutions from the rewired networks with the solution found for the original network. These comparisons aid in understanding the stability of the original solution. The package requires symmetric, weighted (specifically, count) matrices/networks.
Author: KM Gates [aut, cre], Zachary Fisher [aut], Cara Arizmendi [aut]
Maintainer: KM Gates <gateskm@email.unc.edu>

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Package openair updated to version 2.3-0 with previous version 2.2-3 dated 2018-02-26

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
Author: David Carslaw [aut, cre], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package measurements updated to version 1.2.0 with previous version 1.1.0 dated 2016-10-28

Title: Tools for Units of Measurement
Description: Collection of tools to make working with physical measurements easier. Convert between metric and imperial units, or calculate a dimension's unknown value from other dimensions' measurements.
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

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Package codemetar updated to version 0.1.5 with previous version 0.1.4 dated 2018-02-12

Title: Generate 'CodeMeta' Metadata for R Packages
Description: The 'Codemeta' Project defines a 'JSON-LD' format for describing software metadata, as detailed at <https://codemeta.github.io>. This package provides utilities to generate, parse, and modify 'codemeta.json' files automatically for R packages, as well as tools and examples for working with 'codemeta.json' 'JSON-LD' more generally.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Anna Krystalli [rev] (<https://orcid.org/0000-0002-2378-4915>), Toph Allen [rev] (<https://orcid.org/0000-0003-4580-091X>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package bupaR updated to version 0.4.0 with previous version 0.3.2 dated 2017-12-04

Title: Business Process Analysis in R
Description: Comprehensive Business Process Analysis toolkit. Creates S3-class for event log objects, and related handler functions. Imports related packages for filtering event data, computation of descriptive statistics, handling of 'Petri Net' objects and visualization of process maps. See also packages 'edeaR','processmapR', 'eventdataR' and 'processmonitR'.
Author: Gert Janssenswillen [aut, cre]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package ICEinfer updated to version 1.0-4 with previous version 1.0-1 dated 2014-01-14

Title: Incremental Cost-Effectiveness Inference on Two Unbiased Samples
Description: Given two unbiased samples of patient level data on cost and effectiveness for a pair of treatments, make head-to-head treatment comparisons by (i) generating the bivariate bootstrap resampling distribution of ICE uncertainty for a specified value of the shadow price of health, lambda, (ii) form the wedge-shaped ICE confidence region with specified confidence fraction within [0.50, 0.99] that is equivariant with respect to changes in lambda, (iii) color the bootstrap outcomes within the above confidence wedge with economic preferences from an ICE map with specified values of lambda, beta and gamma parameters, (iv) display VAGR and ALICE acceptability curves, and (v) illustrate variation in ICE preferences by displaying potentially non-linear indifference(iso-preference) curves from an ICE map with specified values of lambda, beta and either gamma or eta parameters.
Author: Bob Obenchain <wizbob@att.net>
Maintainer: Bob Obenchain <wizbob@att.net>

Diff between ICEinfer versions 1.0-1 dated 2014-01-14 and 1.0-4 dated 2018-03-21

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Package NEArender updated to version 1.5 with previous version 1.4 dated 2016-08-25

Title: Network Enrichment Analysis
Description: Performs network enrichment analysis against functional gene sets. Benchmarks networks. Renders raw gene profile matrices of dimensionality "N genes x N samples" into the space of gene set (typically pathway) enrichment scores of dimensionality "N pathways x N samples".
Author: Andrey Alexeyenko [aut, cph, ths], Ashwini Jeggari [aut, cre]
Maintainer: Ashwini Jeggari <ashwinipriya.jeggari@ki.se>

Diff between NEArender versions 1.4 dated 2016-08-25 and 1.5 dated 2018-03-21

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Package fabricatr updated to version 0.4.0 with previous version 0.2.0 dated 2018-01-25

Title: Imagine Your Data Before You Collect It
Description: Helps you imagine your data before you collect it. Hierarchical data structures and correlated data can be easily simulated, either from random number generators or by resampling from existing data sources. This package is faster with 'data.table' and 'mvnfast' installed.
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Aaron Rudkin [aut], Neal Fultz [ctb]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>

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Package IDmining updated to version 1.0.4 with previous version 1.0.3 dated 2017-10-25

Title: Intrinsic Dimension for Data Mining
Description: Contains techniques for mining large and high-dimensional data sets by using the concept of Intrinsic Dimension (ID). Here the ID is not necessarily integer. It is extended to fractal dimensions. And the Morisita estimator is used for the ID estimation, but other tools are included as well.
Author: Jean Golay [aut, cre], Mohamed Laib [aut]
Maintainer: Jean Golay <Jean.Golay@unil.ch>

Diff between IDmining versions 1.0.3 dated 2017-10-25 and 1.0.4 dated 2018-03-21

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Package dr4pl updated to version 1.1.1 with previous version 1.0.0 dated 2017-10-22

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

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Package RNRCS updated to version 0.2.5 with previous version 0.2.0 dated 2017-07-13

Title: Download NRCS Data
Description: Downloads Natural Resources Conservation Service (NRCS) data for sites in the Soil Climate Analysis Network (SCAN) <https://www.wcc.nrcs.usda.gov/scan/>, and Snow Telemetry (SNOTEL and SNOLITE) <https://www.wcc.nrcs.usda.gov/snow/> networks. Metadata can be returned for all sites in the NRCS' Air and Water Data Base (AWDB) <https://www.wcc.nrcs.usda.gov/report_generator/AWDB_Network_Codes.pdf>.
Author: Robert Lee <rhlee@colorado.edu>, Josh Roberti <jaroberti87@gmail.com>,
Maintainer: Robert Lee <rhlee@colorado.edu>

Diff between RNRCS versions 0.2.0 dated 2017-07-13 and 0.2.5 dated 2018-03-21

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New package nVennR with initial version 0.1.4
Package: nVennR
Type: Package
Title: Create n-Dimensional, Quasi-Proportional Venn Diagrams
Version: 0.1.4
Authors@R: person("Victor", "Quesada", email = "quesadavictor@uniovi.es", role=c("aut", "cre", "cph"))
Author: Victor Quesada [aut, cre, cph]
Maintainer: Victor Quesada <quesadavictor@uniovi.es>
Description: Provides an interface for the nVenn algorithm (Perez-Silva et al. 2018) <DOI:10.1093/bioinformatics/bty109>. This algorithm works for any number of sets, and usually yields pleasing and informative Venn diagrams with proportionality information. However, representing more than six sets takes a long time and is hard to interpret, unless many of the regions are empty. If you cannot make sense of the result, you may want to consider 'UpSetR' <https://cran.r-project.org/package=UpSetR/README.html>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
LinkingTo: Rcpp
Imports: Rcpp, magick
NeedsCompilation: yes
Packaged: 2018-03-21 16:37:55 UTC; vqf
Repository: CRAN
Date/Publication: 2018-03-21 17:40:11 UTC

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Package mapr updated to version 0.4.0 with previous version 0.3.4 dated 2017-04-11

Title: Visualize Species Occurrence Data
Description: Utilities for visualizing species occurrence data. Includes functions to visualize occurrence data from 'spocc', 'rgbif', and other packages. Mapping options included for base R plots, 'ggplot2', 'ggmap', 'leaflet' and 'GitHub' 'gists'.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package fs updated to version 1.2.2 with previous version 1.2.1 dated 2018-03-20

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], libuv project contributors [cph] (libuv library), Joyent, Inc. and other Node contributors [cph] (libuv library), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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New package codebook with initial version 0.5.8
Package: codebook
Title: Automatic Codebooks from Survey Metadata Encoded in Attributes
Description: Easily automate the following tasks to describe data frames: computing reliabilities (internal consistencies, retest, multilevel) for psychological scales, summarise the distributions of scales and items graphically and using descriptive statistics, combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.).
Version: 0.5.8
Authors@R: person("Ruben", "Arslan", email = "ruben.arslan@gmail.com", role = c("aut", "cre"))
Depends: R (>= 3.0.1)
URL: https://github.com/rubenarslan/codebook
BugReports: https://github.com/rubenarslan/codebook/issues
License: MIT + file LICENSE
Imports: stats, methods, graphics, utils, rmarkdown, ggplot2, stringr, psych, likert, knitr, rlang, dplyr, tidyr, pander, skimr, DT, future, haven, readr, mice, tibble, purrr
Suggests: testthat, lme4, roxygen2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-21 13:49:36 UTC; rubenarslan
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-21 17:22:39 UTC

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Package AnthropMMD updated to version 2.5.0 with previous version 2.4.0 dated 2018-03-13

Title: An R-Shiny Application for Smith's Mean Measure of Divergence (MMD)
Description: Offers a graphical user interface for the calculation of the mean measure of divergence, with facilities for trait selection and graphical representations.
Author: Frédéric Santos
Maintainer: Frédéric Santos <frederic.santos@u-bordeaux.fr>

Diff between AnthropMMD versions 2.4.0 dated 2018-03-13 and 2.5.0 dated 2018-03-21

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Package incR updated to version 1.1.0 with previous version 1.0.2 dated 2017-12-11

Title: Analysis of Incubation Data
Description: Suite of functions to study animal incubation. At the core of incR lies an algorithm that allows for the scoring of incubation behaviour. Additionally, several functions extract biologically relevant metrics of incubation such as off-bout number and off-bout duration - for a review of avian incubation studies, see Nests, Eggs, and Incubation: New ideas about avian reproduction (2015) edited by D. Charles Deeming and S. James Reynolds <doi:10.1093/acprof:oso/9780198718666.001.0001>.
Author: Pablo Capilla-Lasheras [aut, cre]
Maintainer: Pablo Capilla-Lasheras <pacapilla@gmail.com>

Diff between incR versions 1.0.2 dated 2017-12-11 and 1.1.0 dated 2018-03-21

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Package DLMtool updated to version 5.1.2 with previous version 5.1 dated 2018-03-18

Title: Data-Limited Methods Toolkit
Description: Development, simulation testing, and implementation of management procedures for data-limited fisheries (see Carruthers et al (2014) <doi:10.1016/j.fishres.2013.12.014>).
Author: Tom Carruthers [aut, cre], Adrian Hordyk [aut], M. Bryan [ctb], HF. Geremont [ctb], C. Grandin [ctb], W. Harford [ctb], Q. Huynh [ctb], C. Walters [ctb]
Maintainer: Tom Carruthers <t.carruthers@fisheries.ubc.ca>

Diff between DLMtool versions 5.1 dated 2018-03-18 and 5.1.2 dated 2018-03-21

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Package tokenizers updated to version 0.2.0 with previous version 0.1.4 dated 2016-08-29

Title: Fast, Consistent Tokenization of Natural Language Text
Description: Convert natural language text into tokens. Includes tokenizers for shingled n-grams, skip n-grams, words, word stems, sentences, paragraphs, characters, shingled characters, lines, tweets, Penn Treebank, regular expressions, as well as functions for counting characters, words, and sentences, and a function for splitting longer texts into separate documents, each with the same number of words. The tokenizers have a consistent interface, and the package is built on the 'stringi' and 'Rcpp' packages for fast yet correct tokenization in 'UTF-8'.
Author: Lincoln Mullen [aut, cre] (<https://orcid.org/0000-0001-5103-6917>), Os Keyes [ctb] (<https://orcid.org/0000-0001-5196-609X>), Dmitriy Selivanov [ctb], Jeffrey Arnold [ctb], Kenneth Benoit [ctb] (<https://orcid.org/0000-0002-0797-564X>)
Maintainer: Lincoln Mullen <lincoln@lincolnmullen.com>

Diff between tokenizers versions 0.1.4 dated 2016-08-29 and 0.2.0 dated 2018-03-21

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Package STARTS updated to version 0.3-24 with previous version 0.2-10 dated 2017-11-24

Title: Functions for the STARTS Model
Description: Contains functions for estimating the STARTS model of Kenny and Zautra (1995, 2001) <DOI:10.1037/0022-006X.63.1.52>, <DOI:10.1037/10409-008>. Penalized maximum likelihood estimation and Markov Chain Monte Carlo estimation are also provided, see Luedtke, Robitzsch and Wagner (2017) <DOI:10.1037/met0000155>.
Author: Alexander Robitzsch [aut,cre], Oliver Luedtke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between STARTS versions 0.2-10 dated 2017-11-24 and 0.3-24 dated 2018-03-21

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Package spls updated to version 2.2-2 with previous version 2.2-1 dated 2013-08-21

Title: Sparse Partial Least Squares (SPLS) Regression and Classification
Description: Provides functions for fitting a sparse partial least squares (SPLS) regression and classification (Chun and Keles (2010) <doi:10.1111/j.1467-9868.2009.00723.x>).
Author: Dongjun Chung <chungdon@stat.wisc.edu>, Hyonho Chun <chun@stat.wisc.edu>, Sunduz Keles <keles@stat.wisc.edu>
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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New package Ricetl with initial version 0.2.5
Package: Ricetl
Type: Package
Title: Data Extraction for People's Republic of China Resident Identity Card
Version: 0.2.5
Author: Xu Jing [aut, cre]
Maintainer: Xu Jing <274762204@qq.com>
Description: People's Republic of China resident identity card contains a lot of personal information. It can extract the location of the household's residence in the identity card, the date of birth, the sex, the location of the registered police station, and can identify the authenticity of the ID card through the check code. 'Ricetl' provides graphical user interface to process the function of extracting the above effective private information in the ID card number, and provides a public data set related to the ID number.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://github.com/DataXujing/Ricetl
BugReports: https://github.com/DataXujing/Ricetl/issues
RoxygenNote: 6.0.1
Depends: R (>= 3.4.0)
Imports: gWidgets, utils, readr, readxl, stringr, tidyverse, writexl, devtools, plyr, gWidgetsRGtk2
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-21 12:46:37 UTC; Administrator
Repository: CRAN
Date/Publication: 2018-03-21 14:00:09 UTC

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Package plotmo updated to version 3.3.6 with previous version 3.3.5 dated 2018-02-26

Title: Plot a Model's Response and Residuals
Description: Plot model surfaces for a wide variety of models using partial dependence plots and other techniques. Also plot model residuals and other information on the model.
Author: Stephen Milborrow
Maintainer: Stephen Milborrow <milbo@sonic.net>

Diff between plotmo versions 3.3.5 dated 2018-02-26 and 3.3.6 dated 2018-03-21

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Package NetworkToolbox updated to version 1.1.0 with previous version 1.0.0 dated 2018-02-13

Title: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis
Description: Implements network analysis and graph theory measures used in neuroscience, cognitive science, and psychology. Methods include various filtering methods and approaches such as threshold, dependency (Kenett, Tumminello, Madi, Gur-Gershogoren, Mantegna, & Ben-Jacob, 2010 <doi:10.1371/journal.pone.0015032>), Information Filtering Networks (Barfuss, Massara, Di Matteo, & Aste, 2016 <doi:10.1103/PhysRevE.94.062306>), and Efficiency-Cost Optimization (Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>). Brain methods include the recently developed Connectome Predictive Modeling (see references in package). Also implements several network measures including local network characteristics (e.g., centrality), global network characteristics (e.g., clustering coefficient), and various other measures associated with the reliability and reproducibility of network analysis.
Author: Alexander Christensen
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>

Diff between NetworkToolbox versions 1.0.0 dated 2018-02-13 and 1.1.0 dated 2018-03-21

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New package horserule with initial version 1.0.0
Package: horserule
Type: Package
Title: Flexible Non-Linear Regression with the HorseRule Algorithm
Version: 1.0.0
Date: 2018-03-21
Author: Malte Nalenz <malte.nlz@googlemail.com>, Mattias Villani <mattias.villani@liu.se>
Maintainer: Malte Nalenz <malte.nlz@googlemail.com>
Description: Implementation of the HorseRule model a flexible tree based Bayesian regression method for linear and nonlinear regression described in Nalenz & Villani (2017) <arXiv:1702.05008>.
Imports: mvnfast, MASS, randomForest, gbm, inTrees, ggplot2, grDevices, Rdpack, RColorBrewer, stats
License: GPL-3
RoxygenNote: 6.0.1
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2018-03-21 14:21:01 UTC; Malte
Repository: CRAN
Date/Publication: 2018-03-21 14:59:48 UTC

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Package ggeffects updated to version 0.3.2 with previous version 0.3.1 dated 2018-01-15

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects at the mean or average marginal effects from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Marginal effects can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The two main functions are ggpredict() and ggaverage(), however, there are some convenient wrapper-functions especially for polynomials or interactions. There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package TFisher updated to version 0.2.0 with previous version 0.1.0 dated 2017-11-07

Title: Optimal Thresholding Fisher's P-Value Combination Method
Description: We provide the cumulative distribution function (CDF), quantile, and statistical power calculator for a collection of thresholding Fisher's p-value combination methods, including Fisher's p-value combination method, truncated product method and, in particular, soft-thresholding Fisher's p-value combination method which is proven to be optimal in some context of signal detection. The p-value calculator for the omnibus version of these tests are also included. For reference, please see Hong Zhang and Zheyang Wu. "TFisher Tests: Optimal and Adaptive Thresholding for Combining p-Values", submitted.
Author: Hong Zhang and Zheyang Wu
Maintainer: Hong Zhang <hzhang@wpi.edu>

Diff between TFisher versions 0.1.0 dated 2017-11-07 and 0.2.0 dated 2018-03-21

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New package NOAAWeather with initial version 0.1.0
Package: NOAAWeather
Type: Package
Title: Get Weather Data from NOAA Weather Stations
Version: 0.1.0
Date: 2018-03-15
Author: Sagar Ganapaneni <123saga@gmail.com>, Vikramjeet Singh <vikram.dceian@gmail.com>
Maintainer: Sagar Ganapaneni <123saga@gmail.com>
Description: Provides functions to retrieve real-time weather data from all NOAA (National Oceanic and Atmospheric Administration) stations and plot time series, boxplot, calendar heatmap and geospatial maps to analyze trends. NOAA is an American scientific agency within the United States Department of Commerce that focuses on the conditions of the oceans and the atmosphere. Stations are situated at 235 locations across 50 states within United States and are used to capture weather data. NOAA offers web services <https://www.ncdc.noaa.gov/cdo-web/api/v2/> that provide access to data collected from stations.
Depends: R (>= 3.4),
Imports: RCurl, jsonlite, tidyr, dplyr, lubridate, ggplot2, ggmap, ggExtra, grid, gridExtra, tcR, scales, stats, utils
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-21 07:16:20 UTC; gsgr
Repository: CRAN
Date/Publication: 2018-03-21 12:11:12 UTC

More information about NOAAWeather at CRAN
Permanent link

Package fclust updated to version 1.1.3 with previous version 1.1.2 dated 2015-09-06

Title: Fuzzy Clustering
Description: Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visualizing fuzzy clustering results.
Author: Paolo Giordani, Maria Brigida Ferraro
Maintainer: Paolo Giordani <paolo.giordani@uniroma1.it>

Diff between fclust versions 1.1.2 dated 2015-09-06 and 1.1.3 dated 2018-03-21

 DESCRIPTION              |    8 
 MD5                      |   64 ++--
 NAMESPACE                |    2 
 R/FKM.R                  |   26 +
 R/FKM.ent.R              |   37 ++
 R/FKM.ent.noise.R        |   39 ++
 R/FKM.gk.R               |   23 +
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 R/FKM.noise.R            |   26 +
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 37 files changed, 1522 insertions(+), 1131 deletions(-)

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Package airGRteaching updated to version 0.2.2.2 with previous version 0.2.0.9 dated 2018-03-16

Title: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Description: Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Author: Olivier Delaigue [aut, cre], Laurent Coron [aut], Pierre Brigode [aut], Guillaume Thirel [ctb]
Maintainer: Olivier Delaigue <airGR@irstea.fr>

Diff between airGRteaching versions 0.2.0.9 dated 2018-03-16 and 0.2.2.2 dated 2018-03-21

 DESCRIPTION           |   12 +++++++-----
 MD5                   |   11 ++++++++---
 NEWS                  |   10 +++++++++-
 build                 |only
 inst/ShinyGR/server.R |    3 ++-
 inst/doc              |only
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 7 files changed, 26 insertions(+), 10 deletions(-)

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New package SPINA with initial version 4.1.0
Package: SPINA
Type: Package
Version: 4.1.0
Date: 2018-03-19
Title: Structure Parameter Inference Approach
Authors@R: c(person("Johannes W.", "Dietrich", email = "johannes.dietrich@ruhr-uni-bochum.de", role = c("aut", "cph", "cre")))
Author: Johannes W. Dietrich [aut, cph, cre]
Maintainer: Johannes W. Dietrich <johannes.dietrich@ruhr-uni-bochum.de>
Description: Calculates constant structure parameters of endocrine homeostatic systems from equilibrium hormone concentrations. Methods and equations have been described in Dietrich et al. (2012) <doi:10.1155/2012/351864> and Dietrich et al. (2016) <doi:10.3389/fendo.2016.00057>.
License: BSD_3_clause + file LICENSE
Depends: R (>= 3.0.0)
URL: http://spina.sf.net/
BugReports: https://sourceforge.net/p/spina/bugs/
NeedsCompilation: no
Packaged: 2018-03-20 23:00:12 UTC; drjohanneswdietrich
Repository: CRAN
Date/Publication: 2018-03-21 11:38:16 UTC

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New package rjazz with initial version 0.1.7
Package: rjazz
Type: Package
Title: Official Client for 'Jazz'
Version: 0.1.7
Date: 2018-03-19
Depends: R (>= 3.1.0)
Imports: stats, RCurl
Authors@R: c(person('Santiago', 'Basaldua', role = c('aut', 'cre'), email = 'kaalam@kaalam.ai'), person(given = 'Banco Bilbao Vizcaya Argentaria, S.A.', role = "cph"))
Description: This is the official 'Jazz' client. 'Jazz' is a lightweight modular data processing framework, including a web server. It provides data persistence and computation capabilities accessible from 'R' and 'Python' and also through a REST API. <https://github.com/bbvadata/Jazz> See ?rjazz::rjazz to get a 'Jazz' server.
License: Apache License (== 2.0)
NeedsCompilation: no
Packaged: 2018-03-20 21:02:47 UTC; jadmin
Author: Santiago Basaldua [aut, cre], Banco Bilbao Vizcaya Argentaria, S.A. [cph]
Maintainer: Santiago Basaldua <kaalam@kaalam.ai>
Repository: CRAN
Date/Publication: 2018-03-21 11:25:10 UTC

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New package koRpus.lang.en with initial version 0.1-2
Package: koRpus.lang.en
Type: Package
Title: Language Support for 'koRpus' Package: English
Depends: R (>= 3.1),koRpus (>= 0.10-2)
Imports: methods,sylly.en
Description: Adds support for the English language to the 'koRpus' package. To ask for help, report bugs, suggest feature improvements, or discuss the global development of the package, please consider subscribing to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).
License: GPL (>= 3)
Encoding: UTF-8
LazyLoad: yes
URL: https://reaktanz.de/?c=hacking&s=koRpus
BugReports: https://github.com/unDocUMeantIt/koRpus.lang.en/issues
Authors@R: c(person(given="Meik", family="Michalke", email="meik.michalke@hhu.de", role=c("aut", "cre")))
Version: 0.1-2
Date: 2018-03-21
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-20 23:24:01 UTC; m
Author: Meik Michalke [aut, cre]
Maintainer: Meik Michalke <meik.michalke@hhu.de>
Repository: CRAN
Date/Publication: 2018-03-21 11:29:01 UTC

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New package ASGS.foyer with initial version 0.1.0
Package: ASGS.foyer
Version: 0.1.0
Title: Interface to the Australian Statistical Geography Standard
Description: The Australian Statistical Geography Standard ('ASGS') is a set of shapefiles by the Australian Bureau of Statistics. This package provides an interface to those shapefiles, as well as methods for converting coordinates to shapefiles.
Authors@R: person("Hugh", "Parsonage",, "hugh.parsonage@gmail.com", c("aut", "cre"))
License: MPL
Depends: R (>= 3.4.0)
Imports: sp, methods, utils
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2018-03-21 00:53:45 UTC; hughp
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-21 11:42:21 UTC

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New package nlr with initial version 0.1-1
Package: nlr
Type: Package
Title: Nonlinear Regression Modelling using Robust Methods
Version: 0.1-1
Date: 2018-03-14
Author: Hossein Riazoshams
Maintainer: Hossein Riazoshams <riazihosein@gmail.com>
Description: Non-Linear Robust package is developed to handle the problem of outliers in nonlinear regression, using robust statistics. It covers classic methods in nonlinear regression as well. It has facilities to fit models in the case of auto correlated and heterogeneous variance cases, while it include tools to detecting outliers in nonlinear regression. (Riazoshams H, Midi H, and Ghilagaber G, (2018, ISBN:978-1-118-73806-1). Robust Nonlinear Regression, with Application using R, Joh Wiley and Sons.)
License: GPL-2
LazyData: yes
Imports: MASS,nlme, robcor, TSA,tseries,stats, GA, quantreg
Depends: R (>= 3.0.0), methods
URL: http://www.riazoshams.com/nlr/
NeedsCompilation: no
Packaged: 2018-03-20 22:38:28 UTC; ben
Repository: CRAN
Date/Publication: 2018-03-21 10:13:42 UTC

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New package purging with initial version 1.0.0
Package: purging
Type: Package
Title: Simple Method for Purging Mediation Effects among Independent Variables
Version: 1.0.0
Author: Philip D. Waggoner <philip.waggoner@gmail.com>
Maintainer: Philip D. Waggoner <philip.waggoner@gmail.com>
Description: Simple method of purging independent variables of mediating effects. First, regress the direct variable on the indirect variable. Then, used the stored residuals as the new purged (direct) variable in the updated specification. This purging process allows for use of a new direct variable uncorrelated with the indirect variable. Please cite the method and/or package using Waggoner, Philip D. (2018) <doi:10.1177/1532673X18759644>.
License: MIT + file LICENSE
Imports: MASS
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-03-20 13:51:35 UTC; bpwaggo
Repository: CRAN
Date/Publication: 2018-03-21 09:59:03 UTC

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New package cutpointr with initial version 0.7.2
Package: cutpointr
Type: Package
Title: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks
Version: 0.7.2
Authors@R: person("Christian", "Thiele", , "c.thiele@hs-osnabrueck.de", c("aut", "cre"))
Description: Estimate cutpoints that optimize a specified metric in binary classification tasks and validate performance using bootstrapping. Some methods for more robust cutpoint estimation and various plotting functions are included.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0)
LinkingTo: Rcpp
Imports: gridExtra (>= 2.2.1), foreach (>= 1.4.3), dplyr (>= 0.5.0), tidyr (>= 0.6.0), purrr (>= 0.2.2), tibble (>= 1.4.2), ggplot2 (>= 2.2.0), Rcpp (>= 0.12.12), stats, utils, rlang (>= 0.1.2)
RoxygenNote: 6.0.1
Suggests: KernSmooth (>= 2.23-15), fANCOVA (>= 0.5-1), testthat (>= 1.0.2), doRNG (>= 1.6), doParallel (>= 1.0.11), knitr, rmarkdown, mgcv (>= 1.8)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-03-20 15:45:55 UTC; ct
Author: Christian Thiele [aut, cre]
Maintainer: Christian Thiele <c.thiele@hs-osnabrueck.de>
Repository: CRAN
Date/Publication: 2018-03-21 09:27:24 UTC

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New package crqanlp with initial version 0.3
Package: crqanlp
Type: Package
Title: Cross-Recurrence Quantification Analysis for Dynamic Natural Language Processing
Version: 0.3
Date: 2018-03-19
Author: Rick Dale and Moreno Coco
Maintainer: Rick Dale <racdale@gmail.com>
Description: Cross-recurrence quantification analysis for word series, from text, known as categorical recurrence analysis. Uses the 'crqa' R package by Coco and Dale (2014) <doi:10.3389/fpsyg.2014.00510>. Functions are wrappers to facilitate exploration of the sequential properties of text.
Depends: R (>= 3.0.0), crqa, tm, corpus, gutenbergr, RCurl
License: GPL (>= 2)
NeedsCompilation: no
RoxygenNote: 6.0.1
Packaged: 2018-03-20 15:16:27 UTC; mcoco
Repository: CRAN
Date/Publication: 2018-03-21 10:01:11 UTC

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Package cAIC4 updated to version 0.3 with previous version 0.2 dated 2014-08-12

Title: Conditional Akaike Information Criterion for 'lme4'
Description: Provides functions for the estimation of the conditional Akaike information in generalized mixed-effect models fitted with (g)lmer() from 'lme4'.
Author: Benjamin Saefken and David Ruegamer, with contributions from Sonja Greven and Thomas Kneib
Maintainer: David Ruegamer <david.ruegamer@gmail.com>

Diff between cAIC4 versions 0.2 dated 2014-08-12 and 0.3 dated 2018-03-21

 DESCRIPTION                 |   26 +--
 MD5                         |   34 ++--
 NAMESPACE                   |   38 ++++-
 R/biasCorrectionBernoulli.R |   59 +++++--
 R/biasCorrectionGaussian.R  |   64 ++++----
 R/cAIC.R                    |  320 ++++++++++++++++++++++++++++++++++---------
 R/calculateGaussianBc.R     |  154 ++++++++++----------
 R/cnms2formula.R            |   62 ++++----
 R/conditionalBootstrap.R    |   40 ++---
 R/datasets.R                |only
 R/deleteZeroComponents.R    |  162 +++++++++++++--------
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 22 files changed, 979 insertions(+), 655 deletions(-)

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Package multilevelPSA (with last version 1.2.4) was removed from CRAN

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

2015-12-28 1.2.4
2015-11-05 1.2.3
2014-11-25 1.2.2
2013-05-10 1.2
2013-02-13 1.0

Permanent link
Package phyreg (with last version 0.7) was removed from CRAN

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

2014-02-08 0.7

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Package RKEEL (with last version 1.1.22) was removed from CRAN

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

2017-08-10 1.1.22
2017-02-02 1.1.21
2017-01-31 1.1.20
2017-01-26 1.1.19
2017-01-18 1.1.18
2017-01-17 1.1.17
2017-01-11 1.1.15
2016-02-02 1.1.6
2016-01-31 1.1.5

Permanent link
Package Rz (with last version 0.9-1) was removed from CRAN

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

2013-07-28 0.9-1
2013-05-30 0.9-0
2013-01-25 0.7-2

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Package PredictTestbench (with last version 1.1.3) was removed from CRAN

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

2016-12-20 1.1.3
2016-08-22 1.1.1
2016-06-04 1.0.2
2016-05-07 0.1.1

Permanent link
Package iqspr (with last version 2.3) was removed from CRAN

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

2017-08-01 2.3
2017-04-24 1.1
2016-05-21 1.0

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Package RKEELdata (with last version 1.0.3) was removed from CRAN

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

2017-01-26 1.0.3
2016-01-20 1.0.2

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Package PSAboot (with last version 1.1.4) was removed from CRAN

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

2016-02-26 1.1.4
2015-11-04 1.1.3

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Package R2STATS (with last version 0.68-38) was removed from CRAN

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

2014-04-22 0.68-38
2014-03-18 0.68-35
2014-01-22 0.68-34
2013-10-09 0.68-32

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Package HiDimMaxStable (with last version 0.1.1) was removed from CRAN

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

2015-01-14 0.1.1
2014-10-08 0.1

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Package RKEELjars (with last version 1.0.15) was removed from CRAN

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

2017-01-26 1.0.15
2017-01-09 1.0.14
2016-02-02 1.0.11
2016-01-31 1.0.9
2016-01-29 1.0.8
2016-01-26 1.0.6
2016-01-24 1.0.4

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Package matR (with last version 0.9) was removed from CRAN

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

2014-10-23 0.9

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Package rmda updated to version 1.5 with previous version 1.4 dated 2017-08-01

Title: Risk Model Decision Analysis
Description: Provides tools to evaluate the value of using a risk prediction instrument to decide treatment or intervention (versus no treatment or intervention). Given one or more risk prediction instruments (risk models) that estimate the probability of a binary outcome, rmda provides functions to estimate and display decision curves and other figures that help assess the population impact of using a risk model for clinical decision making. Here, "population" refers to the relevant patient population. Decision curves display estimates of the (standardized) net benefit over a range of probability thresholds used to categorize observations as 'high risk'. The curves help evaluate a treatment policy that recommends treatment for patients who are estimated to be 'high risk' by comparing the population impact of a risk-based policy to "treat all" and "treat none" intervention policies. Curves can be estimated using data from a prospective cohort. In addition, rmda can estimate decision curves using data from a case-control study if an estimate of the population outcome prevalence is available. Version 1.4 of the package provides an alternative framing of the decision problem for situations where treatment is the standard-of-care and a risk model might be used to recommend that low-risk patients (i.e., patients below some risk threshold) opt out of treatment. Confidence intervals calculated using the bootstrap can be computed and displayed. A wrapper function to calculate cross-validated curves using k-fold cross-validation is also provided.
Author: Marshall Brown
Maintainer: Marshall Brown <mdbrown@fredhutch.org>

Diff between rmda versions 1.4 dated 2017-08-01 and 1.5 dated 2018-03-21

 DESCRIPTION                |    8 -
 MD5                        |   18 +--
 NEWS                       |    6 -
 R/Add_CostBenefit_Axis.R   |   17 +--
 R/plot_functions_main.R    |    2 
 R/subroutines.R            |   11 +-
 R/summary.decision_curve.R |    2 
 README.md                  |    4 
 inst/notes/tutorial.Rmd    |   28 ++---
 inst/notes/tutorial.html   |  242 +++++++++++++++++++++++----------------------
 10 files changed, 177 insertions(+), 161 deletions(-)

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Package AdapSamp updated to version 1.1.1 with previous version 1.0 dated 2017-09-08

Title: Adaptive Sampling Algorithms
Description: For distributions whose probability density functions are log-concave, the adaptive rejection sampling algorithm can be used to build envelope functions for sampling. For others, we can use the modified adaptive rejection sampling algorithm, the concave-convex adaptive rejection sampling algorithm and the adaptive slice sampling algorithm. So we designed an R package mainly including 4 functions: rARS(), rMARS(), rCCARS() and rASS(). These functions can realize sampling based on the algorithms above.
Author: Dong Zhang
Maintainer: Dong Zhang <dzhang0716@126.com>

Diff between AdapSamp versions 1.0 dated 2017-09-08 and 1.1.1 dated 2018-03-21

 DESCRIPTION   |   10 ++---
 MD5           |   20 +++++-----
 NAMESPACE     |    3 +
 R/rARS.R      |   78 +++++++++++++++++++++--------------------
 R/rASS.R      |   46 +++++++++---------------
 R/rCCARS.R    |   55 ++++++++++++++++-------------
 R/rMARS.R     |  108 ++++++++++++++++++++++++++++++++--------------------------
 man/rARS.Rd   |   56 ++++++++++++++----------------
 man/rASS.Rd   |   35 ++++++------------
 man/rCCARS.Rd |   48 ++++++++++++++-----------
 man/rMARS.Rd  |   74 +++++++++++++++++++++------------------
 11 files changed, 273 insertions(+), 260 deletions(-)

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Package psychmeta updated to version 0.2.4 with previous version 0.2.3 dated 2018-02-09

Title: Psychometric Meta-Analysis Toolkit
Description: Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more.
Author: Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Michael T. Brannick [ctb], Jack Kostal [ctb], Sean Potter [ctb], Yuejia (Mandy) Teng [ctb]
Maintainer: Jeffrey A. Dahlke <dahlk068@umn.edu>

Diff between psychmeta versions 0.2.3 dated 2018-02-09 and 0.2.4 dated 2018-03-21

 DESCRIPTION                 |    8 
 MD5                         |   68 ++--
 NEWS                        |  129 ++++---
 R/compute_dmod.R            |   95 ++++-
 R/convert_ma.R              |   24 -
 R/correct_r_internal.R      |   20 -
 R/create_ad.R               |  723 +++++++++++++++++++++++++++++++++-----------
 R/create_ad_wrappers.R      |   61 +++
 R/estimate_var_rho_tsa.R    |  124 ++++---
 R/heterogeneity.R           |    2 
 R/ma_d.R                    |   83 +++++
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 R/ma_r_ad_bvdrr.R           |    6 
 R/ma_r_ad_bvirr.R           |    6 
 R/ma_r_ad_meas.R            |    8 
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 R/ma_r_ad_rb_adj.R          |   11 
 R/ma_r_ad_rb_orig.R         |   11 
 R/ma_r_ad_uvdrr.R           |   12 
 R/ma_r_ad_uvirr.R           |    9 
 R/ma_r_ic.R                 |    3 
 R/metabulate.R              |    2 
 R/sensitivity.R             |   11 
 R/simulate_d.R              |    4 
 R/simulate_psych.R          |   29 +
 R/simulate_r.R              |   33 +-
 man/compute_dmod_par.Rd     |   10 
 man/create_ad_int.Rd        |    8 
 man/estimate_var_rho_tsa.Rd |   19 -
 man/heterogeneity.Rd        |    2 
 man/ma_d.Rd                 |   82 ++++
 man/ma_r.Rd                 |   83 +++++
 man/sensitivity.Rd          |    8 
 35 files changed, 1465 insertions(+), 478 deletions(-)

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Package CholWishart updated to version 0.9.2 with previous version 0.9.0 dated 2018-02-26

Title: Cholesky Decomposition of the Wishart Distribution
Description: Sampling from the Cholesky factorization of a Wishart random variable, sampling from the inverse Wishart distribution, sampling from the Cholesky factorization of an inverse Wishart random variable, computing densities for the Wishart and inverse Wishart distributions, and computing the multivariate gamma and digamma functions.
Author: Geoffrey Thompson [aut, cre], R Core Team [ctb]
Maintainer: Geoffrey Thompson <gzthompson@gmail.com>

Diff between CholWishart versions 0.9.0 dated 2018-02-26 and 0.9.2 dated 2018-03-21

 DESCRIPTION                 |    8 -
 MD5                         |   42 +++++----
 NAMESPACE                   |    3 
 NEWS.md                     |   19 ++++
 R/wishart.R                 |  199 +++++++++++++++++++++++++++++++-------------
 README.md                   |   31 +++---
 build/partial.rdb           |only
 inst/doc/wishart.R          |   28 +++---
 inst/doc/wishart.Rmd        |   54 +++++++++++
 inst/doc/wishart.html       |   59 +++++++++++--
 man/dWishart.Rd             |   26 ++++-
 man/lmvgamma.Rd             |   15 +++
 man/mvdigamma.Rd            |   18 +++
 man/rCholWishart.Rd         |   25 ++++-
 man/rInvCholWishart.Rd      |   27 +++++
 man/rInvWishart.Rd          |   31 +++++-
 src/rCholWishart.c          |    2 
 tests/testthat/testinput.R  |  149 ++++++++++++++++++++++++++------
 tests/testthat/testoutput.R |   28 +++++-
 vignettes/wishart.Rmd       |   54 +++++++++++
 vignettes/wishart.bib       |only
 vignettes/wishart_cache     |only
 22 files changed, 639 insertions(+), 179 deletions(-)

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