Fri, 31 Jan 2020

New package wdman with initial version 0.2.5
Package: wdman
Type: Package
Title: 'Webdriver'/'Selenium' Binary Manager
Version: 0.2.5
Authors@R: c( person("John", "Harrison", , "johndharrison0@gmail.com", role = "aut", comment = "original author"), person("Ju Yeong", "Kim", , "jkim2345@fredhutch.org", role = "cre", comment = "rOpenSci maintainer"))
Description: There are a number of binary files associated with the 'Webdriver'/'Selenium' project (see <http://www.seleniumhq.org/download/>, <https://sites.google.com/a/chromium.org/chromedriver/>, <https://github.com/mozilla/geckodriver>, <http://phantomjs.org/download.html> and <https://github.com/SeleniumHQ/selenium/wiki/InternetExplorerDriver> for more information). This package provides functions to download these binaries and to manage processes involving them.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2)
Suggests: testthat, covr, knitr, rmarkdown
Imports: binman, assertthat, processx, yaml, semver(>= 0.2.0), utils
URL: https://docs.ropensci.org/wdman, https://github.com/ropensci/wdman
URLNote: https://github.com/ropensci/wdman
BugReports: https://github.com/ropensci/wdman/issues
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-31 21:54:18 UTC; jkim
Author: John Harrison [aut] (original author), Ju Yeong Kim [cre] (rOpenSci maintainer)
Maintainer: Ju Yeong Kim <jkim2345@fredhutch.org>
Repository: CRAN
Date/Publication: 2020-01-31 22:30:02 UTC

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Package SampleSize4ClinicalTrials updated to version 0.1.2 with previous version 0.1.1 dated 2019-09-20

Title: Sample Size Calculation for the Comparison of Means or Proportions in Phase III Clinical Trials
Description: There are four categories of Phase III clinical trials according to different research goals, including (1) Testing for equality, (2) Superiority trial, (3) Non-inferiority trial, and (4) Equivalence trial. This package aims to help researchers to calculate sample size when comparing means or proportions in Phase III clinical trials with different research goals.
Author: Hongchao Qi, Fang Zhu
Maintainer: Hongchao Qi <hcqi.biostat@gmail.com>

Diff between SampleSize4ClinicalTrials versions 0.1.1 dated 2019-09-20 and 0.1.2 dated 2020-01-31

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Package psgp updated to version 0.3-19 with previous version 0.3-18 dated 2018-04-22

Title: Projected Spatial Gaussian Process Methods
Description: Implements projected sparse Gaussian process Kriging (Ingram 'et. al.', 2008, <doi:10.1007/s00477-007-0163-9>) as an additional method for the 'intamap' package. More details on implementation (Barillec 'et. al.', 2010, <doi:10.1016/j.cageo.2010.05.008>).
Author: Ben Ingram <ingrambr.work@gmail.com>, Remi Barillec <remi@igiltd.com>, Jon Olav Skoien <jon.skoien@gmail.com>
Maintainer: Ben Ingram <ingrambr.work@gmail.com>

Diff between psgp versions 0.3-18 dated 2018-04-22 and 0.3-19 dated 2020-01-31

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New package PopGenome with initial version 2.7.5
Package: PopGenome
Type: Package
Title: An Efficient Swiss Army Knife for Population Genomic Analyses
Version: 2.7.5
Date: 2020-01-29
Authors@R: c( person("Bastian", "Pfeifer", role = c("aut", "cre"), email = "bastianxpfeifer@gmail.com"), person("Ulrich", "Wittelsbuerger", role = "ctb"), person("Heng", "Li", role = "ctb"), person("Bob", "Handsaker", role = "ctb") )
Depends: R (>= 2.14.2), ff
Imports: methods
Suggests: parallel, bigmemory, BASIX, WhopGenome, BlockFeST
Description: Provides efficient tools for population genomics data analysis, able to process individual loci, large sets of loci, or whole genomes. PopGenome <DOI:10.1093/molbev/msu136> not only implements a wide range of population genetics statistics, but also facilitates the easy implementation of new algorithms by other researchers. PopGenome is optimized for speed via the seamless integration of C code.
License: GPL-3
LazyLoad: yes
Copyright: inst/COPYRIGHTS
SystemRequirements: zlib headers and library.
Repository: CRAN
NeedsCompilation: yes
Packaged: 2020-01-30 15:00:38 UTC; bastian
Author: Bastian Pfeifer [aut, cre], Ulrich Wittelsbuerger [ctb], Heng Li [ctb], Bob Handsaker [ctb]
Maintainer: Bastian Pfeifer <bastianxpfeifer@gmail.com>
Date/Publication: 2020-01-31 22:50:03 UTC

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Package nc updated to version 2020.1.16 with previous version 2019.10.19 dated 2019-10-28

Title: Named Capture to Data Tables
Description: User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression C libraries (PCRE, RE2, ICU). Output can also include numeric columns via user-specified type conversion functions.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between nc versions 2019.10.19 dated 2019-10-28 and 2020.1.16 dated 2020-01-31

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New package easyr with initial version 0.2-0
Package: easyr
Type: Package
Title: Helpful Functions from Oliver Wyman Actuarial Consulting
Version: 0.2-0
Authors@R: c( person( "Oliver Wyman", "Actuarial Consulting", email = "rajesh.sahasrabuddhe@oliverwyman.com", role = c("aut", "cph") ), person( "Bryce", "Chamberlain", email = "bryce.chamberlain@oliverwyman.com", role = c("aut", "cre") ), person( "Scott", "Sobel", email = "scott.sobel@oliverwyman.com", role = c("ctb") ), person( "Rajesh", "Sahasrabuddhe", email = "rajesh.sahasrabuddhe@oliverwyman.com", role = c("ctb") ) )
Maintainer: Bryce Chamberlain <bryce.chamberlain@oliverwyman.com>
Description: Makes difficult operations easy. Includes these types of functions: shorthand, type conversion, data wrangling, and workflow. Also includes some helpful data objects: NA strings, U.S. state list, color blind charting colors. Built and shared by Oliver Wyman Actuarial Consulting. Accepting proposed contributions through GitHub.
License: GPL (>= 2)
LazyData: true
URL: https://github.com/oliver-wyman-actuarial/easyr
BugReports: https://github.com/oliver-wyman-actuarial/easyr/issues
Depends: R (>= 3.4.0)
Imports: Hmisc, digest, glue, lubridate, data.table, foreign, openssl, readxl, rlang, XML, stringr, tibble, dplyr
RoxygenNote: 7.0.2
Suggests: testthat, rstudioapi, rprojroot
NeedsCompilation: no
Packaged: 2020-01-30 14:53:53 UTC; bryce.chamberlain
Author: Oliver Wyman Actuarial Consulting [aut, cph], Bryce Chamberlain [aut, cre], Scott Sobel [ctb], Rajesh Sahasrabuddhe [ctb]
Repository: CRAN
Date/Publication: 2020-01-31 22:30:10 UTC

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Package mlr3tuning updated to version 0.1.2 with previous version 0.1.1 dated 2019-12-06

Title: Tuning for 'mlr3'
Description: Implements methods for hyperparameter tuning with 'mlr3', e.g. Grid Search, Random Search, or Simulated Annealing. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Daniel Schalk [aut] (<https://orcid.org/0000-0003-0950-1947>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3tuning versions 0.1.1 dated 2019-12-06 and 0.1.2 dated 2020-01-31

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Package ICBayes updated to version 1.2 with previous version 1.1 dated 2017-09-24

Title: Bayesian Semiparametric Models for Interval-Censored Data
Description: Contains functions to fit Bayesian semiparametric regression survival models (proportional hazards model, proportional odds model, and probit model) to interval-censored time-to-event data.
Author: Chun Pan, Bo Cai, Lianming Wang, and Xiaoyan Lin
Maintainer: Chun Pan <chunpan2003@hotmail.com>

Diff between ICBayes versions 1.1 dated 2017-09-24 and 1.2 dated 2020-01-31

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Package QTLRel updated to version 1.5 with previous version 1.4 dated 2019-11-09

Title: Tools for Mapping of Quantitative Traits of Genetically Related Individuals and Calculating Identity Coefficients from Pedigrees
Description: This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances.
Author: Riyan Cheng [aut, cre]
Maintainer: Riyan Cheng <riyancheng@hotmail.com>

Diff between QTLRel versions 1.4 dated 2019-11-09 and 1.5 dated 2020-01-31

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Package otpr updated to version 0.3.0 with previous version 0.2.0 dated 2019-08-28

Title: An R Wrapper for the 'OpenTripPlanner' REST API
Description: A wrapper for the 'OpenTripPlanner' <http://www.opentripplanner.org/> REST API. Queries are submitted to the relevant 'OpenTripPlanner' API resource, the response is parsed and useful R objects are returned.
Author: Marcus Young [aut, cre]
Maintainer: Marcus Young <M.A.Young@soton.ac.uk>

Diff between otpr versions 0.2.0 dated 2019-08-28 and 0.3.0 dated 2020-01-31

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Package cleaner updated to version 1.3.1 with previous version 1.3.0 dated 2020-01-24

Title: Fast and Easy Data Cleaning
Description: Data cleaning functions for classes logical, factor, numeric, character, currency and Date to make data cleaning fast and easy. Relying on very few dependencies, it provides smart guessing, but with user options to override anything if needed.
Author: Matthijs S. Berends [aut, cre] (<https://orcid.org/0000-0001-7620-1800>)
Maintainer: Matthijs S. Berends <m.s.berends@umcg.nl>

Diff between cleaner versions 1.3.0 dated 2020-01-24 and 1.3.1 dated 2020-01-31

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Package Actigraphy updated to version 1.4.0 with previous version 1.3.2 dated 2016-01-15

Title: Actigraphy Data Analysis
Description: Functional linear modeling and analysis for actigraphy data.
Author: William Shannon, Tao Li, Hong Xian, Jia Wang, Elena Deych, Carlos Gonzalez
Maintainer: Berkley Shands <rpackages@biorankings.com>

Diff between Actigraphy versions 1.3.2 dated 2016-01-15 and 1.4.0 dated 2020-01-31

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Package RNifti updated to version 1.1.0 with previous version 1.0.1 dated 2019-11-27

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the NIfTI-1 and ANALYZE-7.5 formats, with seamless synchronisation between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration.
Author: Jon Clayden [cre, aut], Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

Diff between RNifti versions 1.0.1 dated 2019-11-27 and 1.1.0 dated 2020-01-31

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Permanent link

New package bigchess with initial version 1.7.0
Package: bigchess
Type: Package
Title: Read, Manipulate, Explore Chess PGN Files and R API to UCI Chess Engines
Version: 1.7.0
Author: Wojciech Rosa
Maintainer: Wojciech Rosa <w.rosa@pollub.pl>
Description: Provides functions for reading *.PGN files with more than one game, including large files without copying it into RAM (using 'ff' package or 'RSQLite' package). Handle chess data and chess aggregated data, count figure moves statistics, create player profile, plot winning chances, browse openings. Set of functions of R API to communicate with UCI-protocol based chess engines.
License: GPL-3
Imports: ff,ffbase,RSQLite,processx
Suggests: rjson,magrittr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.0
NeedsCompilation: no
Packaged: 2020-01-31 17:58:47 UTC; wojci
Repository: CRAN
Date/Publication: 2020-01-31 18:40:02 UTC

More information about bigchess at CRAN
Permanent link

Package rgbif updated to version 2.0.0 with previous version 1.4.0 dated 2019-10-30

Title: Interface to the Global 'Biodiversity' Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility ('GBIF'; <https://www.gbif.org/developer/summary>). 'GBIF' is a database of species occurrence records from sources all over the globe. 'rgbif' includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the 'GBIF' tile map service to make 'rasters' summarizing huge amounts of data.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Damiano Oldoni [aut] (<https://orcid.org/0000-0003-3445-7562>), Vijay Barve [ctb] (<https://orcid.org/0000-0002-4852-2567>), Peter Desmet [ctb] (<https://orcid.org/0000-0002-8442-8025>), Laurens Geffert [ctb], Dan Mcglinn [ctb] (<https://orcid.org/0000-0003-2359-3526>), Karthik Ram [ctb] (<https://orcid.org/0000-0002-0233-1757>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package dplyr updated to version 0.8.4 with previous version 0.8.3 dated 2019-07-04

Title: A Grammar of Data Manipulation
Description: A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Author: Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>), Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Lionel Henry [aut], Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between dplyr versions 0.8.3 dated 2019-07-04 and 0.8.4 dated 2020-01-31

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Package CircMLE updated to version 0.2.3 with previous version 0.2.2 dated 2019-10-17

Title: Maximum Likelihood Analysis of Circular Data
Description: A series of wrapper functions to implement the 10 maximum likelihood models of animal orientation described by Schnute and Groot (1992) <DOI:10.1016/S0003-3472(05)80068-5>. The functions also include the ability to use different optimizer methods and calculate various model selection metrics (i.e., AIC, AICc, BIC). The ability to perform variants of the Hermans-Rasson test and Pycke test is also included as described in Landler et al. (2019) <DOI:10.1186/s12898-019-0246-8>.
Author: Robert Fitak [aut, cre], Sönke Johnsen [aut]
Maintainer: Robert Fitak <rfitak9@gmail.com>

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Package smoof updated to version 1.6.0.1 with previous version 1.6.0 dated 2020-01-16

Title: Single and Multi-Objective Optimization Test Functions
Description: Provides generators for a high number of both single- and multi- objective test functions which are frequently used for the benchmarking of (numerical) optimization algorithms. Moreover, it offers a set of convenient functions to generate, plot and work with objective functions.
Author: Jakob Bossek [aut, cre], Pascal Kerschke [ctb]
Maintainer: ORPHANED

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Package seagull updated to version 1.0.5 with previous version 1.0.4 dated 2020-01-27

Title: Lasso, Group Lasso, and Sparse-Group Lasso for Mixed Models
Description: Proximal gradient descent solver for the operators lasso, group lasso, and sparse-group lasso. The implementation involves backtracking line search and warm starts. Input data needs to be clustered/grouped for the (sparse-)group lasso before calling these algorithms.
Author: Jan Klosa [aut, cre], Noah Simon [ths], Dörte Wittenburg [ths]
Maintainer: Jan Klosa <klosa@fbn-dummerstorf.de>

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Package oncrawlR updated to version 0.2.0 with previous version 0.1.8 dated 2019-11-18

Title: Machine Learning for S.E.O
Description: Measures different aspects of page content, structure and performance for SEO (Search Engine Optimization). Aspects covered include HTML tags used in SEO, duplicate and near-duplicate content, structured data, on-site linking structure and popularity transfer, and many other amazing things. This package can be used to generate a real, full SEO audit report, which serves to detect errors or inefficiencies on a page that can be corrected in order to optimise its performance on search engines.
Author: Vincent Terrasi [aut, cre], OnCrawl [cph, fnd]
Maintainer: Vincent Terrasi <vincent@oncrawl.com>

Diff between oncrawlR versions 0.1.8 dated 2019-11-18 and 0.2.0 dated 2020-01-31

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New package momentfit with initial version 0.1-0
Package: momentfit
Version: 0.1-0
Date: 2020-01-20
Title: Methods of Moments
Author: Pierre Chausse <pchausse@uwaterloo.ca>
Maintainer: Pierre Chausse <pchausse@uwaterloo.ca>
Description: Several classes for moment-based models are defined. The classes are defined for moment conditions derived from a single equation or a system of equations. The conditions can also be expressed as functions or formulas. Several methods are also offered to facilitate the development of different estimation techniques. The methods that are currently provided are the Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), for single equations and systems of equation, and the Generalized Empirical Likelihood (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>).
Depends: R (>= 3.0.0), sandwich
Imports: stats, methods, parallel
Suggests: lmtest, knitr, texreg
Collate: 'allClasses.R' 'validity.R' 'momentData.R' 'momentModel-methods.R' 'momentModel.R' 'momentWeights-methods.R' 'gmmfit-methods.R' 'specTest-methods.R' 'summary-methods.R' 'rModel-methods.R' 'hypothesisTest-methods.R' 'sysMomentModel.R' 'sysMomentModel-methods.R' 'rsysMomentModel-methods.R' 'sgmmfit-methods.R' 'gmm4.R' 'gel.R' 'gelfit-methods.R' 'gel4.R'
License: GPL (>= 2)
NeedsCompilation: yes
VignetteBuilder: knitr
Repository: CRAN
Repository/R-Forge/Project: gmm
Repository/R-Forge/Revision: 166
Repository/R-Forge/DateTimeStamp: 2020-01-21 15:18:47
Date/Publication: 2020-01-31 16:30:03 UTC
Packaged: 2020-01-21 15:31:07 UTC; rforge

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New package lmeresampler with initial version 0.1.1
Package: lmeresampler
Title: Bootstrap Methods for Nested Linear Mixed-Effects Models
Version: 0.1.1
Authors@R: c(person("Adam", "Loy", email = "loyad01@gmail.com", role = c("aut", "cre")), person("Spenser", "steele", role = "aut"))
Description: Bootstrap routines for nested linear mixed effects models fit using either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the parametric, residual, cases, semi-parametric (i.e., CGR), and random effect block (REB) bootstrap procedures. An overview of these procedures can be found in Van der Leeden et al. (2008) <doi: 10.1007/978-0-387-73186-5_11>, Carpenter, Goldstein & Rasbash (2003) <doi: 10.1111/1467-9876.00415>, and Chambers & Chandra (2013) <doi: 10.1080/10618600.2012.681216>.
Depends: R (>= 3.1.2)
Imports: boot, plyr, dplyr (>= 0.8.0), Matrix, nlmeU, RLRsim
Suggests: lme4 (>= 1.1-7), nlme, testthat, mlmRev
License: GPL-3
LazyData: true
URL: https://github.com/aloy/lmeresampler
BugReports: https://github.com/aloy/lmeresampler/issues
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-01-30 16:18:38 UTC; aloy
Author: Adam Loy [aut, cre], Spenser steele [aut]
Maintainer: Adam Loy <loyad01@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-31 17:00:06 UTC

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New package geodiv with initial version 0.1.0
Package: geodiv
Type: Package
Title: Methods for Calculating Gradient Surface Metrics
Version: 0.1.0
Author: Annie C. Smith, Phoebe Zarnetske, Kyla Dahlin, Adam Wilson, Andrew Latimer
Maintainer: Annie C. Smith <annie.smith@dnr.wa.gov>
Description: Methods for calculating gradient surface metrics for continuous analysis of landscape features.
Depends: R (>= 3.5)
Imports: dplyr (>= 0.7.8), phonTools (>= 0.2-2.1), pracma (>= 2.2.2), raster (>= 2.8-4), rgdal (>= 1.4), spatial (>= 7.3-11), spatstat (>= 1.57-1), tibble (>= 1.4.2), e1071 (>= 1.7-0), sp (>= 1.3-1), rgeos (>= 0.4-3), parallel (>= 3.6.0), sf (>= 0.7-4), zoo (>= 1.8-5), Rcpp (>= 1.0.1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Suggests: testthat, knitr, ggplot2
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-01-21 17:29:08 UTC; annie
Repository: CRAN
Date/Publication: 2020-01-31 17:00:10 UTC

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New package forestr with initial version 2.0.1
Package: forestr
Type: Package
Version: 2.0.1
Title: Ecosystem and Canopy Structural Complexity Metrics from LiDAR
Authors@R: c(person("Jeff", "Atkins", email = "jwatkins6@vcu.edu", role = c("aut", "cre")), person("Gil", "Bohrer", role = "aut"), person("Robert", "Fahey", role = "aut"), person("Brady", "Hardiman", role = "aut"), person("Chrisopher", "Gough", role = "aut"), person("Timothy", "Morin", role = "aut"), person("Atticus", "Stovall", role = "aut"), person("Naupaka", "Zimmerman", role = c("ctb", "aut")), person("Chris", "Black", role = "ctb"))
Author: Jeff Atkins [aut, cre], Gil Bohrer [aut], Robert Fahey [aut], Brady Hardiman [aut], Chrisopher Gough [aut], Timothy Morin [aut], Atticus Stovall [aut], Naupaka Zimmerman [ctb, aut], Chris Black [ctb]
URL: https://github.com/atkinsjeff/forestr
Maintainer: Jeff Atkins <jwatkins6@vcu.edu>
Description: Provides a toolkit for calculating forest and canopy structural complexity metrics from terrestrial LiDAR (light detection and ranging). References: Atkins et al. 2018 <doi:10.1111/2041-210X.13061>; Hardiman et al. 2013 <doi:10.3390/f4030537>; Parker et al. 2004 <doi:10.1111/j.0021-8901.2004.00925.x>.
Depends: R (>= 3.1.2)
Imports: ggplot2, plyr, dplyr, stats, tools, viridis, moments
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-01-31 14:07:06 UTC; ram^2
Repository: CRAN
Date/Publication: 2020-01-31 17:00:13 UTC

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New package FastCUB with initial version 0.0.1
Package: FastCUB
Title: Fast EM and Best-Subset Selection for CUB Models for Rating Data
Version: 0.0.1
Author: Rosaria Simone <rosaria.simone@unina.it>
Maintainer: Rosaria Simone <rosaria.simone@unina.it>
Description: For ordinal rating data, consider the accelerated Expectation-Maximization algorithm to estimate and test models within the family of CUB models (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions). The procedure is built upon Louis' identity for the observed information matrix. Best-subset variable selection for CUB regression models is then implemented on such basis. The methods here implemented are illustrated and discussed in the preprint available from Researchgate by Simone R. (2020) <https://tinyurl.com/vvk563e>.
Depends: R (>= 2.15.2), Formula
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: methods, utils, CUB
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Repository: CRAN
Packaged: 2020-01-21 18:59:15 UTC; Rosaria
Date/Publication: 2020-01-31 17:00:17 UTC

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Package Counterfactual updated to version 1.2 with previous version 1.1 dated 2017-07-19

Title: Estimation and Inference Methods for Counterfactual Analysis
Description: Implements the estimation and inference methods for counterfactual analysis described in Chernozhukov, Fernandez-Val and Melly (2013) <DOI:10.3982/ECTA10582> "Inference on Counterfactual Distributions," Econometrica, 81(6). The counterfactual distributions considered are the result of changing either the marginal distribution of covariates related to the outcome variable of interest, or the conditional distribution of the outcome given the covariates. They can be applied to estimate quantile treatment effects and wage decompositions.
Author: Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly
Maintainer: Ivan Fernandez-Val <ivanf@bu.edu>

Diff between Counterfactual versions 1.1 dated 2017-07-19 and 1.2 dated 2020-01-31

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Package qgcomp updated to version 2.1.2 with previous version 2.0.0 dated 2020-01-16

Title: Quantile G-Computation
Description: G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <arXiv:1902.04200> [stat.ME].
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <akeil@unc.edu>

Diff between qgcomp versions 2.0.0 dated 2020-01-16 and 2.1.2 dated 2020-01-31

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New package IGST with initial version 0.1.0
Package: IGST
Type: Package
Title: Informative Gene Selection Tool
Version: 0.1.0
Author: Nitesh Kumar Sharma, Dwijesh Chandra Mishra, Neeraj Budhlakoti and Md. Samir Farooqi
Maintainer: Nitesh Kumar Sharma <sharmanitesh.iasri@gmail.com>
Description: Mining informative genes with certain biological meanings are important for clinical diagnosis of disease and discovery of disease mechanisms in plants and animals. This process involves identification of relevant genes and removal of redundant genes as much as possible from a whole gene set. This package selects the informative genes related to a specific trait using gene expression dataset. These trait specific genes are considered as informative genes. This package returns the informative gene set from the high dimensional gene expression data using a combination of methods SVM and MRMR (for feature selection) with bootstrapping procedure.
Depends: R (>= 3.5)
Imports: e1071, BootMRMR
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-01-21 10:19:01 UTC; Nitesh-PC
Repository: CRAN
Date/Publication: 2020-01-31 16:00:06 UTC

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New package helda with initial version 0.9.1
Package: helda
Title: Preprocess Data and Get Better Insights from Machine Learning Models
Version: 0.9.1
Authors@R: person("Simon", "Corde", email = "simon.corde@hotmail.fr", role = c("aut", "cre"))
Description: The main focus is on preprocessing and data visualization of machine learning models performances. Some functions allow to fill gaps in time series using linear interpolation on panel data, some functions permit to draw lift effect and lift curves in order to benchmark machine learning models or you can even find the optimal number of clusters in agglomerative clustering algorithm.
Depends: R (>= 3.5.0),
Imports: dplyr(>= 0.7.8), ggplot2(>= 3.1.0), sqldf(>= 0.4-11), stringr(>= 1.3.1), rlang(>= 0.4.2), stats(>= 3.5.0)
Suggests: devtools (>= 2.2.1), testthat (>= 2.1.0), covr (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://www.github.com/Redcart/helda
BugReports: https://github.com/Redcart/helda/issues
RoxygenNote: 7.0.1
NeedsCompilation: no
Packaged: 2020-01-20 23:02:53 UTC; simon
Author: Simon Corde [aut, cre]
Maintainer: Simon Corde <simon.corde@hotmail.fr>
Repository: CRAN
Date/Publication: 2020-01-31 15:20:02 UTC

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New package ggeasy with initial version 0.1.1
Package: ggeasy
Title: Easy Access to 'ggplot2' Commands
Version: 0.1.1
Authors@R: c( person("Jonathan", "Carroll", email = "rpkg@jcarroll.com.au", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1404-5264")), person("Alicia", "Schep", email = "aschep@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0002-3915-0618")), person("Jonathan", "Sidi", email = "yonicd@gmail.com", role = c("aut"),comment = c(ORCID = "0000-0002-4222-1819")), person("Bob", "Rudis", email = "bob@rud.is", role = c("ctb"), comment = c(ORCID = "0000-0001-5670-2640")) )
Maintainer: Jonathan Carroll <rpkg@jcarroll.com.au>
Description: Provides a series of aliases to commonly used but difficult to remember 'ggplot2' sequences.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, rlang
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), clipr, labelled, patchwork, vdiffr, covr
VignetteBuilder: knitr
URL: https://github.com/jonocarroll/ggeasy
BugReports: https://github.com/jonocarroll/ggeasy/issues
NeedsCompilation: no
Packaged: 2020-01-21 10:21:15 UTC; jono
Author: Jonathan Carroll [aut, cre] (<https://orcid.org/0000-0002-1404-5264>), Alicia Schep [aut] (<https://orcid.org/0000-0002-3915-0618>), Jonathan Sidi [aut] (<https://orcid.org/0000-0002-4222-1819>), Bob Rudis [ctb] (<https://orcid.org/0000-0001-5670-2640>)
Repository: CRAN
Date/Publication: 2020-01-31 16:00:02 UTC

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New package FcircSEC with initial version 1.0.0
Package: FcircSEC
Title: Full Length Circular RNA Sequence Extraction and Classification
Version: 1.0.0
Author: Md. Tofazzal Hossain, Yin Peng, Shengzhong Feng and Yanjie Wei
Maintainer: Md. Tofazzal Hossain <tofazzal.stat@gmail.com>
Description: Extract full length circular RNA sequences and classify circular RNA using the output of circular RNA prediction tools, reference genome and the annotation file corresponding to the reference genome. This package uses the output of circular RNA prediction tools such as 'CIRI', 'CIRCExplorer' and the output of other state-of-the-art circular RNA prediction tools. Details about the circular RNA prediction procedure can be found in 'Yuan Gao, Jinfeng Wang and Fangqing Zhao' (2015) <doi:10.1186/s13059-014-0571-3> and 'Zhang XO, Wang HB, Zhang Y, Lu X, Chen LL and Yang L' (2014) <doi:10.1016/j.cell.2014.09.001>.
URL: https://github.com/tofazzal4720/FcircSEC
BugReports: https://github.com/tofazzal4720/FcircSEC/issues
Depends: R (>= 3.6.0), Biostrings, seqRFLP, stringi
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.0
NeedsCompilation: no
Packaged: 2020-01-21 06:35:23 UTC; Md. Tofazzal Hossain
Repository: CRAN
Date/Publication: 2020-01-31 15:50:02 UTC

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New package wkNNMI with initial version 1.0.0
Package: wkNNMI
Type: Package
Title: A Mutual Information-Weighted k-NN Imputation Algorithm
Version: 1.0.0
Date: 2020-01-20
Authors@R: c( person("Sebastian", "Daberdaku", email = "sebastian.daberdaku@unipd.it", role = c("aut", "cre")), person("Erica", "Tavazzi", email = "erica.tavazzi@phd.unipd.it", role = "aut"), person("Systems Biology and Bioinformatics Group", "http://sysbiobig.dei.unipd.it/", role="cph"))
Description: Implementation of an adaptive weighted k-nearest neighbours (wk-NN) imputation algorithm for clinical register data developed to explicitly handle missing values of continuous/ordinal/categorical and static/dynamic features conjointly. For each subject with missing data to be imputed, the method creates a feature vector constituted by the information collected over his/her first 'window_size' time units of visits. This vector is used as sample in a k-nearest neighbours procedure, in order to select, among the other patients, the ones with the most similar temporal evolution of the disease over time. An ad hoc similarity metric was implemented for the sample comparison, capable of handling the different nature of the data, the presence of multiple missing values and include the cross-information among features.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: infotheo, foreach
NeedsCompilation: no
Packaged: 2020-01-20 11:25:34 UTC; sebastian
Author: Sebastian Daberdaku [aut, cre], Erica Tavazzi [aut], Systems Biology and Bioinformatics Group http://sysbiobig.dei.unipd.it/ [cph]
Maintainer: Sebastian Daberdaku <sebastian.daberdaku@unipd.it>
Repository: CRAN
Date/Publication: 2020-01-31 14:20:02 UTC

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New package markdownInput with initial version 0.1.2
Package: markdownInput
Type: Package
Title: Shiny Module for a Markdown Input with Result Preview
Version: 0.1.2
Authors@R: c( person("Julien", "Diot", email="juliendiot@ut-biomet.org", role=c("aut","ctb", "cre"), comment=c(ORCID="0000-0002-8738-2034")) )
Maintainer: Julien Diot <juliendiot@ut-biomet.org>
Description: An R-Shiny module containing a "markdownInput". This input allows the user to write some markdown code and to preview the result. This input has been inspired by the "comment" window of <https://github.com/>.
Imports: shiny (>= 1.0.5), shinyAce, markdown
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/juliendiot42/markdownInput
BugReports: https://github.com/juliendiot42/markdownInput/issues
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-01-20 09:50:20 UTC; julien
Author: Julien Diot [aut, ctb, cre] (<https://orcid.org/0000-0002-8738-2034>)
Repository: CRAN
Date/Publication: 2020-01-31 14:20:05 UTC

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New package influenceAUC with initial version 0.1.0
Package: influenceAUC
Type: Package
Title: Identify Influential Observations in Binary Classification
Version: 0.1.0
Authors@R: c( person("Bo-Shiang", "Ke", email = "naivete0907@gmail.com", role = c("cre", "aut", "cph")), person("Yuan-chin Ivan", "Chang", email = "ycchang@sinica.edu.tw", role = "aut"), person("Wen-Ting", "Wang", email = "egpivo@gmail.com", role = "aut") )
Maintainer: Bo-Shiang Ke <naivete0907@gmail.com>
Description: Ke, B. S., Chiang, A. J., & Chang, Y. C. I. (2018) <doi:10.1080/10543406.2017.1377728> provide two theoretical methods (influence function and local influence) based on the area under the receiver operating characteristic curve (AUC) to quantify the numerical impact of each observation to the overall AUC. Alternative graphical tools, cumulative lift charts, are proposed to reveal the existences and approximate locations of those influential observations through data visualization.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: dplyr, geigen, ggplot2, ggrepel, methods, ROCR
NeedsCompilation: no
Packaged: 2020-01-20 14:05:16 UTC; naive
Author: Bo-Shiang Ke [cre, aut, cph], Yuan-chin Ivan Chang [aut], Wen-Ting Wang [aut]
Repository: CRAN
Date/Publication: 2020-01-31 14:40:02 UTC

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New package binomialRF with initial version 0.0.1
Package: binomialRF
Type: Package
Title: Binomial Random Forest Feature Selection
Version: 0.0.1
Authors@R: person("Samir", "Rachid Zaim", email = "samirrachidzaim@math.arizona.edu", role = c("aut", "cre"))
URL: https://www.biorxiv.org/content/10.1101/681973v1.abstract
Description: The 'binomialRF' is a new feature selection technique for decision trees that aims at providing an alternative approach to identify significant feature subsets using binomial distributional assumptions (Rachid Zaim, S., et al. (2019)) <doi:10.1101/681973>. Treating each splitting variable selection as a set of exchangeable correlated Bernoulli trials, 'binomialRF' then tests whether a feature is selected more often than by random chance.
License: GPL-2
Encoding: UTF-8
LazyData: true
biocViews: Software, GenePrediction, StatisticalMethod, DecisionTree, DimensionReduction, ExperimentalDesign
Imports: randomForest, ggplot2, data.table, stats, rlist, correlbinom, parallel,Rmpfr, methods
Suggests: foreach, knitr, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-20 15:57:55 UTC; samirrachidzaim-admin
Author: Samir Rachid Zaim [aut, cre]
Maintainer: Samir Rachid Zaim <samirrachidzaim@math.arizona.edu>
Repository: CRAN
Date/Publication: 2020-01-31 14:40:05 UTC

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Package unix updated to version 1.5.1 with previous version 1.5 dated 2019-02-24

Title: POSIX System Utilities
Description: Bindings to system utilities found in most Unix systems such as POSIX functions which are not part of the Standard C Library.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between unix versions 1.5 dated 2019-02-24 and 1.5.1 dated 2020-01-31

 DESCRIPTION      |    6 +++---
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 6 files changed, 14 insertions(+), 18 deletions(-)

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New package SMM with initial version 1.0.2
Package: SMM
Type: Package
Title: Simulation and Estimation of Multi-State Discrete-Time Semi-Markov and Markov Models
Version: 1.0.2
Date: 2020-01-24
Depends: seqinr, DiscreteWeibull
Author: Vlad Stefan Barbu, Caroline Berard, Dominique Cellier, Mathilde Sautreuil and Nicolas Vergne
Maintainer: Nicolas Vergne <nicolas.vergne@univ-rouen.fr>
Description: Performs parametric and non-parametric estimation and simulation for multi-state discrete-time semi-Markov processes. For the parametric estimation, several discrete distributions are considered for the sojourn times: Uniform, Geometric, Poisson, Discrete Weibull and Negative Binomial. The non-parametric estimation concerns the sojourn time distributions, where no assumptions are done on the shape of distributions. Moreover, the estimation can be done on the basis of one or several sample paths, with or without censoring at the beginning or/and at the end of the sample paths. The implemented methods are described in Barbu, V.S., Limnios, N. (2008) <doi:10.1007/978-0-387-73173-5>, Barbu, V.S., Limnios, N. (2008) <doi:10.1080/10485250701261913> and Trevezas, S., Limnios, N. (2011) <doi:10.1080/10485252.2011.555543>. Estimation and simulation of discrete-time k-th order Markov chains are also considered.
License: GPL
VignetteBuilder: utils
Suggests: utils
NeedsCompilation: no
Packaged: 2020-01-31 12:02:17 UTC; vergnnic
Repository: CRAN
Date/Publication: 2020-01-31 13:30:02 UTC

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Package RAppArmor updated to version 3.2.1 with previous version 3.2 dated 2019-03-16

Title: Bindings to AppArmor and Security Related Linux Tools
Description: Bindings to kernel methods for enforcing security restrictions. AppArmor can apply mandatory access control (MAC) policies on a given task (process) via security profiles with detailed ACL definitions. In addition this package implements bindings for setting process resource limits (rlimit), uid, gid, affinity and priority. The high level R function 'eval.secure' builds on these methods to perform dynamic sandboxing: it evaluates a single R expression within a temporary fork which acts as a sandbox by enforcing fine grained restrictions without affecting the main R process. A portable version of this function is now available in the 'unix' package.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between RAppArmor versions 3.2 dated 2019-03-16 and 3.2.1 dated 2020-01-31

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Package lwgeom updated to version 0.2-1 with previous version 0.2-0 dated 2020-01-31

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Colin Rundel [ctb], Andy Teucher [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between lwgeom versions 0.2-0 dated 2020-01-31 and 0.2-1 dated 2020-01-31

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Package lacunaritycovariance updated to version 1.0-13 with previous version 1.0-8 dated 2019-07-24

Title: Gliding Box Lacunarity and Other Metrics for 2D Random Closed Sets
Description: Functions for estimating the gliding box lacunarity (GBL), covariance, and pair-correlation of a random closed set (RACS) in 2D from a binary coverage map (e.g. presence-absence land cover maps). Contains a number of newly-developed covariance-based estimators of GBL (Hingee et al., 2019) <doi:10.1007/s13253-019-00351-9> and balanced estimators, proposed by Picka (2000) <http://www.jstor.org/stable/1428408>, for covariance, centred covariance, and pair-correlation. Also contains methods for estimating contagion-like properties of RACS and simulating 2D Boolean models. Binary coverage maps are usually represented as raster images with pixel values of TRUE, FALSE or NA, with NA representing unobserved pixels. A demo for extracting such a binary map from a geospatial data format is provided. Binary maps may also be represented using polygonal sets as the foreground, however for most computations such maps are converted into raster images. The package is based on research conducted during the author's PhD studies.
Author: Kassel Liam Hingee
Maintainer: Kassel Liam Hingee <kassel.hingee@gmail.com>

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New package FSSF with initial version 0.1.0
Package: FSSF
Type: Package
Title: Generate Fully-Sequential Space-Filling Designs Inside a Unit Hypercube
Version: 0.1.0
Date: 2019-12-30
Author: Boyang Shang and Daniel W. Apley
Maintainer: Boyang Shang <boyangshang2015@u.northwestern.edu>
Copyright: ANN library is copyright University of Maryland and Sunil Arya and David Mount. See file COPYRIGHTS for details.
Description: Provides three methods proposed by Shang and Apley (2019) <doi:10.1080/00224065.2019.1705207> to generate fully-sequential space-filling designs inside a unit hypercube. A 'fully-sequential space-filling design' means a sequence of nested designs (as the design size varies from one point up to some maximum number of points) with the design points added one at a time and such that the design at each size has good space-filling properties. Two methods target the minimum pairwise distance criterion and generate maximin designs, among which one method is more efficient when design size is large. One method targets the maximum hole size criterion and uses a heuristic to generate what is closer to a minimax design.
License: GPL-2
Depends: R (>= 3.3)
Imports: Rcpp (>= 0.12.10)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-01-30 09:02:36 UTC; boyangshang
Repository: CRAN
Date/Publication: 2020-01-31 13:40:02 UTC

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Package Distance updated to version 1.0.0 with previous version 0.9.8 dated 2019-05-01

Title: Distance Sampling Detection Function and Abundance Estimation
Description: A simple way of fitting detection functions to distance sampling data for both line and point transects. Adjustment term selection, left and right truncation as well as monotonicity constraints and binning are supported. Abundance and density estimates can also be calculated (via a Horvitz-Thompson-like estimator) if survey area information is provided.
Author: David Lawrence Miller
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

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New package dataone with initial version 2.1.3
Package: dataone
Version: 2.1.3
Date: 2020-01-15
Title: R Interface to the DataONE REST API
Authors@R: c( person("Matthew B.", "Jones", role = c("aut", "cre"), email = "jones@nceas.ucsb.edu"), person("Peter", "Slaughter", role = "aut", email = "slaughter@nceas.ucsb.edu"), person("Rob", "Nahf", role = "aut", email = "rnahf@unm.edu"), person("Carl", "Boettiger", role = "aut", email = "cboettig@gmail.com"), person("Chris", "Jones", role = "aut", email = "cjones@nceas.ucsb.edu"), person("Jordan", "Read", role = "aut", email = "jread@usgs.gov"), person("Lauren", "Walker", role = "aut", email = "walker@nceas.ucsb.edu"), person("Edmund", "Hart", role = "aut", email = "edmund.m.hart@gmail.com"), person("Scott", "Chamberlain", role = "aut", email = "myrmecocystus@gmail.com"), person("Regents of the University of California", role = c("cph")))
VignetteBuilder: knitr
Description: Provides read and write access to data and metadata from the DataONE network <https://www.dataone.org> of data repositories. Each DataONE repository implements a consistent repository application programming interface. Users call methods in R to access these remote repository functions, such as methods to query the metadata catalog, get access to metadata for particular data packages, and read the data objects from the data repository. Users can also insert and update data objects on repositories that support these methods.
Depends: R (>= 3.1.1)
Suggests: knitr, rmarkdown, testthat, digest, openssl (>= 0.9.3), xml2
Imports: XML (>= 3.95-0.1), hash, httr, methods, stringr, datapack (>= 1.3.0), plyr, parsedate, uuid, base64enc, jsonlite
License: Apache License 2.0
URL: https://github.com/DataONEorg/rdataone
BugReports: https://github.com/DataONEorg/rdataone/issues
Collate: 'AbstractTableDescriber.R' 'auth_request.R' 'D1Node.R' 'AuthenticationManager.R' 'CNode.R' 'CertificateManager.R' 'D1Object.R' 'MNode.R' 'D1Client.R' 'EMLParser.R' 'dataone-package.R' 'yyy.R' 'zzz.R'
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-01-15 22:27:21 UTC; slaughter
Author: Matthew B. Jones [aut, cre], Peter Slaughter [aut], Rob Nahf [aut], Carl Boettiger [aut], Chris Jones [aut], Jordan Read [aut], Lauren Walker [aut], Edmund Hart [aut], Scott Chamberlain [aut], Regents of the University of California [cph]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>
Repository: CRAN
Date/Publication: 2020-01-31 13:20:12 UTC

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Package cld3 updated to version 1.3 with previous version 1.2 dated 2019-07-18

Title: Google's Compact Language Detector 3
Description: Google's Compact Language Detector 3 is a neural network model for language identification and the successor of 'cld2' (available from CRAN). The algorithm is still experimental and takes a novel approach to language detection with different properties and outcomes. It can be useful to combine this with the Bayesian classifier results from 'cld2'. See <https://github.com/google/cld3#readme> for more information.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Google Inc [cph] (CLD3 C++ library)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between cld3 versions 1.2 dated 2019-07-18 and 1.3 dated 2020-01-31

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

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

2017-11-15 1.1

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Package bayesSurv (with last version 3.2) was removed from CRAN

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

2018-01-11 3.2
2017-09-24 3.1
2017-05-29 3.0
2015-07-27 2.6
2015-02-05 2.4
2014-08-09 2.3-1
2014-06-20 2.3
2013-06-11 2.1-1
2012-12-27 1.1
2012-06-19 1.0-1
2010-01-03 0.6-2
2008-12-06 0.6-1
2008-11-26 0.6
2008-06-26 0.5-10
2007-10-27 0.5-9
2007-08-25 0.5-8
2007-05-29 0.5-7

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Package smoothSurv (with last version 2.0.1) was removed from CRAN

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

2018-08-10 2.0.1
2017-09-24 2.0
2015-07-27 1.6
2015-05-21 1.5-2
2015-02-05 1.5
2013-06-12 1.3-2
2013-03-29 1.2.1
2012-12-27 1.2
2012-09-25 1.1
2012-01-07 1.0
2010-05-30 0.7
2010-01-14 0.6
2009-06-25 0.5-1
2009-04-27 0.4
2008-06-26 0.3-12
2007-10-27 0.3-11
2007-08-25 0.3-10
2007-08-14 0.3-9
2007-05-29 0.3-8

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Package mlr3proba updated to version 0.1.2 with previous version 0.1.1 dated 2020-01-08

Title: Probabilistic Supervised Learning for 'mlr3'
Description: Provides extensions for probabilistic supervised learning for 'mlr3'. This includes extending the regression task to probabilistic and interval regression, adding a survival task, and other specialized models, predictions, and measures.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Andreas Bender [ctb] (<https://orcid.org/0000-0001-5628-8611>)
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

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Package rzmq updated to version 0.9.7 with previous version 0.9.6 dated 2019-03-01

Title: R Bindings for 'ZeroMQ'
Description: Interface to the 'ZeroMQ' lightweight messaging kernel (see <http://www.zeromq.org/> for more information).
Author: Whit Armstrong [aut], Michael Schubert [ctb], Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between rzmq versions 0.9.6 dated 2019-03-01 and 0.9.7 dated 2020-01-31

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Package orf updated to version 0.1.3 with previous version 0.1.2 dated 2019-11-30

Title: Ordered Random Forests
Description: An implementation of the Ordered Forest estimator as developed in Lechner & Okasa (2019) <arXiv:1907.02436>. The Ordered Forest flexibly estimates the conditional probabilities of models with ordered categorical outcomes (so-called ordered choice models). Additionally to common machine learning algorithms the 'orf' package provides functions for estimating marginal effects as well as statistical inference thereof and thus provides similar output as in standard econometric models for ordered choice. The core forest algorithm relies on the fast C++ forest implementation from the 'ranger' package (Wright & Ziegler, 2017) <arXiv:1508.04409>.
Author: Gabriel Okasa [aut, cre], Michael Lechner [ctb]
Maintainer: Gabriel Okasa <gabriel.okasa@unisg.ch>

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Package randtoolbox updated to version 1.30.1 with previous version 1.30.0 dated 2019-04-21

Title: Toolbox for Pseudo and Quasi Random Number Generation and Random Generator Tests
Description: Provides (1) pseudo random generators - general linear congruential generators, multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister algorithm and WELL generators); (2) quasi random generators - the Torus algorithm, the Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some generator tests - the gap test, the serial test, the poker test. See e.g. Gentle (2003) <doi:10.1007/b97336>. The package can be provided without the rngWELL dependency on demand. Take a look at the Distribution task view of types and tests of random number generators. Version in Memoriam of Diethelm and Barbara Wuertz.
Author: R port by Yohan Chalabi, Christophe Dutang, Petr Savicky and Diethelm Wuertz with some underlying C codes of (i) the SFMT algorithm from M. Matsumoto and M. Saito, (ii) the Knuth-TAOCP RNG from D. Knuth.
Maintainer: Christophe Dutang <christophe.dutang@ensimag.fr>

Diff between randtoolbox versions 1.30.0 dated 2019-04-21 and 1.30.1 dated 2020-01-31

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Package dfmta updated to version 1.7-1 with previous version 1.7-0 dated 2018-05-24

Title: Phase I/II Adaptive Dose-Finding Design for MTA
Description: Phase I/II adaptive dose-finding design for single-agent Molecularly Targeted Agent (MTA), according to the paper "Phase I/II Dose-Finding Design for Molecularly Targeted Agent: Plateau Determination using Adaptive Randomization", Riviere Marie-Karelle et al. (2016) <doi:10.1177/0962280216631763>.
Author: Marie-Karelle Riviere and Jacques-Henri Jourdan
Maintainer: Jacques-Henri Jourdan <jacques-henri.jourdan@normalesup.org>

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Package SwarmSVM updated to version 0.1-6 with previous version 0.1-5 dated 2019-01-25

Title: Ensemble Learning Algorithms Based on Support Vector Machines
Description: Three ensemble learning algorithms based on support vector machines. They all train support vector machines on subset of data and combine the result.
Author: Tong He <hetong007@gmail.com>, Aydin Demircioglu <aydin.demircioglu@ini.ruhr-uni-bochum.de>
Maintainer: Tong He <hetong007@gmail.com>

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Package secrdesign updated to version 2.5.10 with previous version 2.5.7 dated 2019-02-04

Title: Sampling Design for Spatially Explicit Capture-Recapture
Description: Tools for designing spatially explicit capture-recapture studies of animal populations. This is primarily a simulation manager for package 'secr'. Extensions in version 2.5.0 include costing and evaluation of detector spacing.
Author: Murray Efford
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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

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

2019-06-29 1.0.0
2019-04-09 0.0.3
2019-02-12 0.0.2
2019-01-11 0.0.1

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Package pewdata (with last version 0.3.0) was removed from CRAN

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2019-05-09 0.3.0
2016-09-24 0.2.0
2016-07-15 0.1.1
2016-05-12 0.1.0

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

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2019-07-07 1.0.0

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Package snotelr (with last version 1.0.1) was removed from CRAN

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2019-01-08 1.0.1

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Package RSelenium (with last version 1.7.5) was removed from CRAN

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2019-01-03 1.7.5
2018-09-18 1.7.4

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

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2019-02-13 0.1.2
2019-01-17 0.1.1
2018-10-14 0.1.0

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Package multilinguer updated to version 0.0.4 with previous version 0.0.3 dated 2019-12-30

Title: Gentle Language Installer for R User
Description: Provides install functions of other languages such as 'java', 'python' for windows and macos.
Author: Chanyub Park [aut, cre] (<https://orcid.org/0000-0001-6474-2570>)
Maintainer: Chanyub Park <mrchypark@gmail.com>

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Package arulesSequences updated to version 0.2-23 with previous version 0.2-22 dated 2019-04-16

Title: Mining Frequent Sequences
Description: Add-on for arules to handle and mine frequent sequences. Provides interfaces to the C++ implementation of cSPADE by Mohammed J. Zaki.
Author: Christian Buchta and Michael Hahsler, with contributions from Daniel Diaz
Maintainer: Christian Buchta <christian.buchta@wu.ac.at>

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Package subprocess (with last version 0.8.3) was removed from CRAN

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2018-08-13 0.8.3
2017-10-22 0.8.2
2017-10-06 0.8.1
2017-01-10 0.8.0
2016-11-29 0.7.4

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Package bigchess (with last version 1.5.2) was removed from CRAN

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2019-06-18 1.5.2
2019-05-15 1.3.2
2018-11-04 1.2.0
2018-09-25 1.1.0
2018-05-11 1.0.0

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Package statarepl (with last version 0.1.0) was removed from CRAN

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2019-12-16 0.1.0

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Package wdman (with last version 0.2.4) was removed from CRAN

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2018-07-21 0.2.4

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Package wpp2019 updated to version 1.1-1 with previous version 1.1-0 dated 2019-10-04

Title: World Population Prospects 2019
Description: Provides data from the United Nation's World Population Prospects 2019.
Author: United Nations Population Division
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package tsibble updated to version 0.8.6 with previous version 0.8.5 dated 2019-11-03

Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an data- and model-oriented format. The 'tsibble' provides tools to easily manipulate and analyse temporal data, such as filling in time gaps and aggregating over calendar periods.
Author: Earo Wang [aut, cre] (<https://orcid.org/0000-0001-6448-5260>), Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>), Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>), Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>)
Maintainer: Earo Wang <earo.wang@gmail.com>

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Package raincpc updated to version 1.1.0 with previous version 0.4 dated 2014-08-29

Title: Obtain and Analyze Daily Rainfall Data from the USA Climate Prediction Center (CPC)
Description: The Climate Prediction Center's (CPC) rainfall data for the world (1979 to present, 50 km resolution) and the USA (1948 to present, 25 km resolution), is one of the few high quality, long term, observation based, daily rainfall products available for free. Although raw data is available at CPC's ftp site, obtaining, processing and visualizing the data is not straightforward. There are thousands of files, and file formats and file extensions have been changing over time. This package provides functionality to download, process and visualize over 40 years of global rainfall data and over 70 years of USA rainfall data from CPC.
Author: Gopi Goteti <my.ration.shop@gmail.com>
Maintainer: Gopi Goteti <my.ration.shop@gmail.com>

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Package lwgeom updated to version 0.2-0 with previous version 0.1-7 dated 2019-05-06

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Colin Rundel [ctb], Andy Teucher [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwmval.c                  |only
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwout_encoded_polyline.c  |   86 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwout_geojson.c           |  198 -
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwout_gml.c               |  148 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwout_kml.c               |   34 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwout_svg.c               |   98 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwout_twkb.c              |   53 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwout_wkb.c               |   80 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwout_wkt.c               |   53 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwout_x3d.c               |  753 +---
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwout_x3d.h               |only
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwpoint.c                 |   26 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwpoly.c                  |  114 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwprint.c                 |   75 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwpsurface.c              |   12 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwrandom.c                |only
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwrandom.h                |only
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwspheroid.c              |   22 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwstroke.c                |  425 +-
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwtin.c                   |   12 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwtriangle.c              |   21 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwunionfind.c             |    1 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/lwutil.c                  |  284 +
 lwgeom-0.2-0/lwgeom/src/liblwgeom/measures.c                | 1751 ++++-----
 lwgeom-0.2-0/lwgeom/src/liblwgeom/measures.h                |   17 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/measures3d.c              | 1413 ++++---
 lwgeom-0.2-0/lwgeom/src/liblwgeom/measures3d.h              |   59 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/ptarray.c                 |  690 ++-
 lwgeom-0.2-0/lwgeom/src/liblwgeom/stringbuffer.c            |   36 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/stringbuffer.h            |   36 
 lwgeom-0.2-0/lwgeom/src/liblwgeom/varint.c                  |    2 
 lwgeom-0.2-0/lwgeom/src/lwgeom.cpp                          |   28 
 lwgeom-0.2-0/lwgeom/src/postgis_config.h                    |  107 
 lwgeom-0.2-0/lwgeom/src/postgis_config.h.in                 |only
 lwgeom-0.2-0/lwgeom/src/postgis_config.win                  |only
 lwgeom-0.2-0/lwgeom/src/proj.cpp                            |   15 
 lwgeom-0.2-0/lwgeom/tests/azimuth.R                         |    2 
 lwgeom-0.2-0/lwgeom/tests/azimuth.Rout.save                 |    9 
 lwgeom-0.2-0/lwgeom/tests/dist.R                            |   12 
 lwgeom-0.2-0/lwgeom/tests/dist.Rout.save                    |   34 
 lwgeom-0.2-0/lwgeom/tests/perimeter.R                       |    2 
 lwgeom-0.2-0/lwgeom/tests/perimeter.Rout.save               |   44 
 lwgeom-0.2-0/lwgeom/tests/testthat.Rout.save                |   15 
 lwgeom-0.2-0/lwgeom/tests/testthat/test-as_text.R           |    6 
 lwgeom-0.2-0/lwgeom/tests/testthat/test_lwgeom.R            |   12 
 131 files changed, 10432 insertions(+), 9622 deletions(-)

More information about lwgeom at CRAN
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Package cloudSimplifieR (with last version 0.1.9) was removed from CRAN

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

2019-03-13 0.1.9

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Package ari (with last version 0.3.4) was removed from CRAN

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

2020-01-27 0.3.4
2020-01-12 0.3.3
2019-08-19 0.3.2
2019-07-13 0.3.1
2017-08-31 0.1.0

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Package flyio (with last version 0.1.4) was removed from CRAN

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2019-10-31 0.1.4
2019-04-24 0.1.2

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Package hyperSpec (with last version 0.99-20200115) was removed from CRAN

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2020-01-16 0.99-20200115
2018-06-28 0.99-20180627
2017-10-06 0.99-20171005
2016-11-19 0.98-20161118
2015-03-05 0.98-20150304
2014-05-23 0.98-20140523

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Package redshiftTools (with last version 1.0.1) was removed from CRAN

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2019-05-21 1.0.1
2019-05-16 1.0.0

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Package forestError updated to version 0.1.1 with previous version 0.1.0 dated 2020-01-14

Title: A Unified Framework for Random Forest Prediction Error Estimation
Description: Estimates the conditional error distributions of random forest predictions and common parameters of those distributions, including conditional mean squared prediction errors, conditional biases, and conditional quantiles, by out-of-bag weighting of out-of-bag prediction errors as proposed by Lu and Hardin (2019+) <arXiv:1912.07435>. This package is compatible with several existing packages that implement random forests in R.
Author: Benjamin Lu and Johanna Hardin
Maintainer: Benjamin Lu <b.lu@berkeley.edu>

Diff between forestError versions 0.1.0 dated 2020-01-14 and 0.1.1 dated 2020-01-31

 DESCRIPTION             |    6 +++---
 MD5                     |    8 ++++----
 R/quantforesterror.R    |   10 ++++++----
 README.md               |   14 ++++++++------
 man/quantForestError.Rd |    2 ++
 5 files changed, 23 insertions(+), 17 deletions(-)

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