Sat, 10 Jul 2021

Package RPtests updated to version 0.1.5 with previous version 0.1.4 dated 2017-04-03

Title: Goodness of Fit Tests for High-Dimensional Linear Regression Models
Description: Performs goodness of fits tests for both high and low-dimensional linear models. It can test for a variety of model misspecifications including nonlinearity and heteroscedasticity. In addition one can test the significance of potentially large groups of variables, and also produce p-values for the significance of individual variables in high-dimensional linear regression.
Author: Rajen Shah [aut, cre], Peter Buhlmann [aut]
Maintainer: Rajen Shah <r.shah@statslab.cam.ac.uk>

Diff between RPtests versions 0.1.4 dated 2017-04-03 and 0.1.5 dated 2021-07-10

 RPtests-0.1.4/RPtests/src/RPtests_init.c   |only
 RPtests-0.1.5/RPtests/DESCRIPTION          |   12 ++++++------
 RPtests-0.1.5/RPtests/MD5                  |   29 ++++++++++++++---------------
 RPtests-0.1.5/RPtests/NAMESPACE            |    4 +++-
 RPtests-0.1.5/RPtests/R/RPtest.R           |    4 ++--
 RPtests-0.1.5/RPtests/R/RPtest_single.R    |    4 ++--
 RPtests-0.1.5/RPtests/R/RcppExports.R      |    2 +-
 RPtests-0.1.5/RPtests/R/projections.R      |    7 +++----
 RPtests-0.1.5/RPtests/R/pvals.R            |    4 ++--
 RPtests-0.1.5/RPtests/R/sqrt_lasso.R       |   18 ++++++++++--------
 RPtests-0.1.5/RPtests/man/RPtest.Rd        |   28 ++++++++++++++++++++--------
 RPtests-0.1.5/RPtests/man/RPtest_single.Rd |    5 ++---
 RPtests-0.1.5/RPtests/man/pval.Rd          |    5 ++---
 RPtests-0.1.5/RPtests/man/sparse_proj.Rd   |    8 +++-----
 RPtests-0.1.5/RPtests/man/sqrt_lasso.Rd    |   19 +++++++++----------
 RPtests-0.1.5/RPtests/src/RcppExports.cpp  |   17 ++++++++++++++++-
 16 files changed, 95 insertions(+), 71 deletions(-)

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Package miceFast updated to version 0.7.1 with previous version 0.6.9 dated 2020-12-13

Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Description: Fast imputations under the object-oriented programming paradigm. Moreover there are offered a few functions built to work with popular R packages such as 'data.table' or 'dplyr'. The biggest improvement in time performance could be achieve for a calculation where a grouping variable have to be used. A single evaluation of a quantitative model for the multiple imputations is another major enhancement. A new major improvement is one of the fastest predictive mean matching in the R world because of presorting and binary search.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

Diff between miceFast versions 0.6.9 dated 2020-12-13 and 0.7.1 dated 2021-07-10

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 20 files changed, 210 insertions(+), 350 deletions(-)

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Package meboot updated to version 1.4-9.1 with previous version 1.4-9 dated 2021-05-29

Title: Maximum Entropy Bootstrap for Time Series
Description: Maximum entropy density based dependent data bootstrap. An algorithm is provided to create a population of time series (ensemble) without assuming stationarity. The reference paper (Vinod, H.D., 2004 <DOI: 10.1016/j.jempfin.2003.06.002>) explains how the algorithm satisfies the ergodic theorem and the central limit theorem.
Author: Hrishikesh D. Vinod <Vinod@fordham.edu>, Javier López-de-Lacalle <javlacalle@yahoo.es>, and Fred Viole
Maintainer: Fred Viole <fviole@fordham.edu>

Diff between meboot versions 1.4-9 dated 2021-05-29 and 1.4-9.1 dated 2021-07-10

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 NAMESPACE           |    2 
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 R/mebootSpear.R     |  148 ++++++++++++++++++++++++++--------------------------
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 8 files changed, 90 insertions(+), 93 deletions(-)

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Package squashinformr updated to version 0.2.3 with previous version 0.2.2 dated 2021-03-09

Title: Politely Web Scrape Data from SquashInfo
Description: Scrape SquashInfo <http://www.squashinfo.com/> for data on the Professional Squash Association World Tour and other squash events. 'squashinformr' functions scrape, parse, and clean data associated with players, tournaments, and rankings.
Author: Hayden MacDonald [aut, cre]
Maintainer: Hayden MacDonald <hayden.macdonald.8778@gmail.com>

Diff between squashinformr versions 0.2.2 dated 2021-03-09 and 0.2.3 dated 2021-07-10

 DESCRIPTION                                     |    7 +---
 MD5                                             |   42 ++++++++++++------------
 R/get_matchup.R                                 |    6 +--
 R/get_player_.R                                 |    4 +-
 R/get_player_recent_.R                          |   12 +++---
 R/get_rankings.R                                |    2 -
 R/get_tournament_.R                             |   35 ++++++++++----------
 README.md                                       |   34 ++++++++++++-------
 man/get_tournament_games.Rd                     |    8 ++--
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 tests/testthat/test_get_matchup.R               |   28 ++++++++--------
 tests/testthat/test_get_player_recent_games.R   |   41 +++++++++++------------
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 tests/testthat/test_get_players.R               |   35 +++++++++-----------
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 tests/testthat/test_get_tournament_matches.R    |   31 +++++++----------
 tests/testthat/test_get_tournament_players.R    |   32 ++++++++----------
 tests/testthat/test_get_tournaments.R           |   13 +++----
 22 files changed, 233 insertions(+), 244 deletions(-)

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New package portfolio with initial version 0.5-2
Package: portfolio
Title: Analysing Equity Portfolios
Version: 0.5-2
Date: 2021-07-09
Authors@R: c( person( "Jeff", "Enos", role="aut", email="jeff@kanecap.com"), person( "David", "Kane", role="aut", email="dave@kanecap.com"), person( "Daniel", "Gerlanc", role=c("aut", "cre"), email="dan@gerlanc.com"), person( "Kyle", "Campbell", role="ctb", email="Kyle.W.Campbell@williams.edu"))
Description: Classes for analysing and implementing equity portfolios, including routines for generating tradelists and calculating exposures to user-specified risk factors.
Depends: R (>= 3.0), graphics, grid, lattice, methods
Imports: grDevices, nlme, stats, utils
License: GPL (>= 2)
URL: https://github.com/dgerlanc/portfolio
BugReports: https://github.com/dgerlanc/portfolio/issues
LazyLoad: yes
NeedsCompilation: no
Packaged: 2021-07-09 13:05:32 UTC; dgerlanc
Author: Jeff Enos [aut], David Kane [aut], Daniel Gerlanc [aut, cre], Kyle Campbell [ctb]
Maintainer: Daniel Gerlanc <dan@gerlanc.com>
Repository: CRAN
Date/Publication: 2021-07-10 16:30:05 UTC

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Package od updated to version 0.3.0 with previous version 0.2.1 dated 2021-04-22

Title: Manipulate and Map Origin-Destination Data
Description: The aim of 'od' is to provide tools and example datasets for working with origin-destination ('OD') datasets of the type used to describe aggregate urban mobility patterns (Carey et al. 1981) <doi:10.1287/trsc.15.1.32>. The package builds on functions for working with 'OD' data in the package 'stplanr', (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053> with a focus on computational efficiency and support for the 'sf' class system (Pebesma 2018) <doi:10.32614/RJ-2018-009>. With few dependencies and a simple class system based on data frames, the package is intended to facilitate efficient analysis of 'OD' datasets and to provide a place for developing new functions. The package enables the creation and analysis of geographic entities representing large scale mobility patterns, from daily travel between zones in cities to migration between countries.
Author: Robin Lovelace [aut, cre] (<https://orcid.org/0000-0001-5679-6536>), David Cooley [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

Diff between od versions 0.2.1 dated 2021-04-22 and 0.3.0 dated 2021-07-10

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 12 files changed, 137 insertions(+), 55 deletions(-)

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New package mplot with initial version 1.0.6
Package: mplot
Title: Graphical Model Stability and Variable Selection Procedures
Version: 1.0.6
Date: 2021-07-10
Authors@R: c(person("Garth", "Tarr", role = c("aut", "cre"), email = "garth.tarr@gmail.com", comment = c(ORCID = "0000-0002-6605-7478")), person("Samuel", "Mueller", role = "aut", email = "samuel.mueller@sydney.edu.au", comment = c(ORCID = "0000-0002-3087-8127")), person("Alan H", "Welsh", role = "aut", email = "alan.welsh@anu.edu.au", comment = c(ORCID = "0000-0002-3165-9559")))
Description: Model stability and variable inclusion plots [Mueller and Welsh (2010, <doi:10.1111/j.1751-5823.2010.00108.x>); Murray, Heritier and Mueller (2013, <doi:10.1002/sim.5855>)] as well as the adaptive fence [Jiang et al. (2008, <doi:10.1214/07-AOS517>); Jiang et al. (2009, <doi:10.1016/j.spl.2008.10.014>)] for linear and generalised linear models.
License: GPL (>= 2)
Suggests: knitr, mvoutlier, glmulti, rmarkdown, DT, MASS
Imports: leaps, foreach, parallel, bestglm, doParallel, doRNG, plyr, shinydashboard, shiny, glmnet, graphics, stats, googleVis, ggplot2, reshape2, scales, dplyr, tidyr, magrittr
URL: https://garthtarr.github.io/mplot/, https://github.com/garthtarr/mplot
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-07-10 10:37:12 UTC; garthtarr
Author: Garth Tarr [aut, cre] (<https://orcid.org/0000-0002-6605-7478>), Samuel Mueller [aut] (<https://orcid.org/0000-0002-3087-8127>), Alan H Welsh [aut] (<https://orcid.org/0000-0002-3165-9559>)
Maintainer: Garth Tarr <garth.tarr@gmail.com>
Repository: CRAN
Date/Publication: 2021-07-10 16:20:02 UTC

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Package LindleyPowerSeries updated to version 1.0.1 with previous version 0.1.0 dated 2018-11-19

Title: Lindley Power Series Distribution
Description: Computes the probability density function, the cumulative distribution function, the hazard rate function, the quantile function and random generation for Lindley Power Series distributions, see Nadarajah and Si (2018) <doi:10.1007/s13171-018-0150-x>.
Author: Saralees Nadarajah & Yuancheng Si, Peihao Wang
Maintainer: Yuancheng Si <siyuanchengman@gmail.com>

Diff between LindleyPowerSeries versions 0.1.0 dated 2018-11-19 and 1.0.1 dated 2021-07-10

 DESCRIPTION                    |   11 +-
 MD5                            |   22 ++--
 R/LindelyBinomial.R            |    2 
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New package GEInter with initial version 0.3.1
Package: GEInter
Title: Robust Gene-Environment Interaction Analysis
Version: 0.3.1
Authors@R: c(person("Mengyun", "Wu", role=c("aut"), email = "wu.mengyun@mail.shufe.edu.cn"), person("Xing", "Qin", role=c("aut","cre"), email = "qin.xing@163.sufe.edu.cn"), person("Shuangge", "Ma", role=c("aut"), email = "shuangge.ma@yale.edu"))
Maintainer: Xing Qin <qin.xing@163.sufe.edu.cn>
Description: For the risk, progression, and response to treatment of many complex diseases, it has been increasingly recognized that gene-environment interactions play important roles beyond the main genetic and environmental effects. In practical interaction analyses, outliers in response variables and covariates are not uncommon. In addition, missingness in environmental factors is routinely encountered in epidemiological studies. The developed package consists of five robust approaches to address the outliers problems, among which two approaches can also accommodate missingness in environmental factors. Both continuous and right censored responses are considered. The proposed approaches are based on penalization and sparse boosting techniques for identifying important interactions, which are realized using efficient algorithms. Beyond the gene-environment analysis, the developed package can also be adopted to conduct analysis on interactions between other types of low-dimensional and high-dimensional data. (Mengyun Wu et al (2017), <doi:10.1080/00949655.2018.1523411>; Mengyun Wu et al (2017), <doi:10.1002/gepi.22055>; Yaqing Xu et al (2018), <doi:10.1080/00949655.2018.1523411>; Yaqing Xu et al (2019), <doi:10.1016/j.ygeno.2018.07.006>; Mengyun Wu et al (2021), <doi:10.1093/bioinformatics/btab318>).
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: survAUC, MASS, splines, pcaPP, Hmisc, survival, quantreg, reshape2, ggplot2, stats, graphics
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2021-07-10 15:53:57 UTC; Administrator
Author: Mengyun Wu [aut], Xing Qin [aut, cre], Shuangge Ma [aut]
Repository: CRAN
Date/Publication: 2021-07-10 16:20:05 UTC

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Package deepdive updated to version 1.0.4 with previous version 1.0.3 dated 2021-07-09

Title: Deep Learning for General Purpose
Description: Aims to provide simple intuitive functions to create quick prototypes of artificial neural network or deep learning models. In addition novel ensemble models like 'deeptree' and 'deepforest' has been included which combines decision trees and neural network.
Author: Rajesh Balakrishnan
Maintainer: Rajesh Balakirshnan <rajeshbalakrishnan24@gmail.com>

Diff between deepdive versions 1.0.3 dated 2021-07-09 and 1.0.4 dated 2021-07-10

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 4 files changed, 105 insertions(+), 121 deletions(-)

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Package apsimx updated to version 1.995 with previous version 1.993 dated 2021-07-01

Title: Inspect, Read, Edit and Run 'APSIM' "Next Generation" and 'APSIM' Classic
Description: The functions in this package inspect, read, edit and run files for 'APSIM' "Next Generation" ('JSON') and 'APSIM' "Classic" ('XML'). The files with an 'apsim' extension correspond to 'APSIM' Classic (7.x) - Windows only - and the ones with an 'apsimx' extension correspond to 'APSIM' "Next Generation". For more information about 'APSIM' see (<https://www.apsim.info/>) and for 'APSIM' next generation (<https://apsimnextgeneration.netlify.app/>).
Author: Fernando Miguez [aut, cre] (<https://orcid.org/0000-0002-4627-8329>)
Maintainer: Fernando Miguez <femiguez@iastate.edu>

Diff between apsimx versions 1.993 dated 2021-07-01 and 1.995 dated 2021-07-10

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Package yorkr updated to version 0.0.25 with previous version 0.0.24 dated 2021-05-25

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

Diff between yorkr versions 0.0.24 dated 2021-05-25 and 0.0.25 dated 2021-07-10

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 man/plotWinLossBetweenTeams.Rd   |    4 +++-
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Package rstac updated to version 0.9.1-4 with previous version 0.9.1 dated 2021-04-16

Title: Client Library for SpatioTemporal Asset Catalog
Description: Provides functions to access, search and download spacetime earth observation data via SpatioTemporal Asset Catalog (STAC). This package supports the version 1.0.0 of the STAC specification (<http://stacspec.org>).
Author: Brazil Data Cube Team [cre, aut], National Institute for Space Research (INPE) [cph]
Maintainer: Brazil Data Cube Team <brazildatacube@inpe.br>

Diff between rstac versions 0.9.1 dated 2021-04-16 and 0.9.1-4 dated 2021-07-10

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 40 files changed, 2346 insertions(+), 1944 deletions(-)

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Package N2H4 updated to version 0.5.9 with previous version 0.5.7 dated 2020-03-20

Title: Handling Methods for Naver News Text Crawling
Description: Provides some functions to get Korean text sample from news articles in Naver which is popular news portal service <https://news.naver.com/> in Korea.
Author: Chanyub Park [aut, cre] (<https://orcid.org/0000-0001-6474-2570>)
Maintainer: Chanyub Park <mrchypark@gmail.com>

Diff between N2H4 versions 0.5.7 dated 2020-03-20 and 0.5.9 dated 2021-07-10

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Package mexhaz updated to version 1.11 with previous version 1.10 dated 2020-10-13

Title: Mixed Effect Excess Hazard Models
Description: Fit flexible (excess) hazard regression models with the possibility of including non-proportional effects of covariables and of adding a random effect at the cluster level (corresponding to a shared frailty). A detailed description of the package functionalities is provided in Charvat and Belot (2021) <doi: 10.18637/jss.v098.i14>.
Author: Hadrien Charvat, Aurelien Belot
Maintainer: Hadrien Charvat <chadrien@ncc.go.jp>

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Package DataGraph updated to version 1.2.2 with previous version 1.2.1 dated 2020-03-05

Title: Export Data from R so 'DataGraph' can Read it
Description: Functions to save either '.dtable' or '.dtbin' files that can be read by 'DataGraph', a graphing and analysis application for mac OS. Can save a data frame, collection of data frames and sequences of data frames and individual vectors. For more information see <https://community.visualdatatools.com/datagraph/knowledge-base/r-package/>.
Author: David Adalsteinsson
Maintainer: David Adalsteinsson <david@visualdatatools.com>

Diff between DataGraph versions 1.2.1 dated 2020-03-05 and 1.2.2 dated 2021-07-10

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Package sjPlot updated to version 2.8.9 with previous version 2.8.8 dated 2021-05-25

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Alexander Bartel [ctb] (<https://orcid.org/0000-0002-1280-6138>), Carsten Schwemmer [ctb], Chuck Powell [ctb] (<https://orcid.org/0000-0002-3606-2188>), Amir Djalovski [ctb], Johannes Titz [ctb] (<https://orcid.org/0000-0002-1102-5719>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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New package NetLogoR with initial version 0.3.8
Package: NetLogoR
Title: Build and Run Spatially Explicit Agent-Based Models
Description: Build and run spatially explicit agent-based models using only the R platform. 'NetLogoR' follows the same framework as the 'NetLogo' software (Wilensky, 1999 <http://ccl.northwestern.edu/netlogo/>) and is a translation in R of the structure and functions of 'NetLogo'. 'NetLogoR' provides new R classes to define model agents and functions to implement spatially explicit agent-based models in the R environment. This package allows benefiting of the fast and easy coding phase from the highly developed 'NetLogo' framework, coupled with the versatility, power and massive resources of the R software. Examples of three models (Ants <http://ccl.northwestern.edu/netlogo/models/Ants>, Butterfly (Railsback and Grimm, 2012) and Wolf-Sheep-Predation <http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation>) written using 'NetLogoR' are available. The 'NetLogo' code of the original version of these models is provided alongside. A programming guide inspired from the 'NetLogo' Programming Guide (<https://ccl.northwestern.edu/netlogo/docs/programming.html>) and a dictionary of 'NetLogo' primitives (<https://ccl.northwestern.edu/netlogo/docs/dictionary.html>) equivalences are also available. NOTE: To increment 'time', these functions can use a for loop or can be integrated with a discrete event simulator, such as 'SpaDES' (<https://cran.r-project.org/package=SpaDES>). The suggested package 'fastshp' can be installed with 'install.packages("fastshp", repos = "https://rforge.net", type = "source")'.
URL: https://netlogor.predictiveecology.org, https://github.com/PredictiveEcology/NetLogoR/, https://groups.google.com/g/netlogor
Version: 0.3.8
Date: 2021-07-09
Authors@R: c( person("Sarah", "Bauduin", email = "sarahbauduin@hotmail.fr", role = c("aut"), comment = c(ORCID = "0000-0002-3252-5894")), person("Eliot J B", "McIntire", email = "eliot.mcintire@canada.ca", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6914-8316")), person("Alex M", "Chubaty", email = "achubaty@for-cast.ca", role = c("aut"), comment = c(ORCID = "0000-0001-7146-8135")), person(paste("Her Majesty the Queen in Right of Canada,", "as represented by the Minister of Natural Resources Canada"), role = "cph") )
Depends: R (>= 3.6), raster
Imports: abind, car, CircStats, data.table, grDevices, Hmisc, matrixStats, methods, plyr, quickPlot (>= 0.1.2), sp, SpaDES.tools, stats, rgeos
Suggests: fastshp, knitr, magrittr, microbenchmark, rmarkdown, sf, SpaDES.core, testthat
Additional_repositories: https://rforge.net
BugReports: https://github.com/PredictiveEcology/NetLogoR/issues
ByteCompile: yes
Encoding: UTF-8
License: GPL-3
Language: en-US
VignetteBuilder: knitr, rmarkdown
Collate: 'Agent-classes.R' 'NetLogoR-package.R' 'worldNLR-classes-methods.R' 'agentMatrix-Class-methods.R' 'agentset-functions.R' 'function-arguments.R' 'patch-functions.R' 'plot.R' 'world-functions.R' 'quickPlot.R' 'spades-functions.R' 'turtle-functions.R'
NeedsCompilation: no
Packaged: 2021-07-09 20:29:00 UTC; achubaty
Author: Sarah Bauduin [aut] (<https://orcid.org/0000-0002-3252-5894>), Eliot J B McIntire [aut, cre] (<https://orcid.org/0000-0002-6914-8316>), Alex M Chubaty [aut] (<https://orcid.org/0000-0001-7146-8135>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>
Repository: CRAN
Date/Publication: 2021-07-10 10:40:02 UTC

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Package iccCounts (with last version 1.0.2) was removed from CRAN

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

2021-06-30 1.0.2
2021-06-01 1.0.1

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Package lefko3 (with last version 3.5.0) was removed from CRAN

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

2021-06-29 3.5.0
2021-04-02 3.4.0
2021-02-26 3.3.2
2021-02-23 3.3.1
2021-01-06 3.2.0
2020-11-16 3.1.2
2020-11-13 3.1.1
2020-11-12 3.1.0
2020-10-21 3.0.0
2020-09-17 2.4.2

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Package powerEQTL (with last version 0.3.3) was removed from CRAN

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

2021-06-18 0.3.3
2021-05-22 0.3.1
2021-03-23 0.2.9
2021-02-25 0.2.7
2020-11-01 0.2.2
2020-04-29 0.1.7
2017-01-24 0.1.3

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Package pedSimulate updated to version 1.1.0 with previous version 1.0.1 dated 2021-06-30

Title: Pedigree, Genetic Merit and Phenotype Simulation
Description: Simulate pedigree, genetic merits and phenotypes with random/non-random matings followed by random/non-random selection with different intensities and patterns in males and females. Bijma, P. & Rutten, M. (2002) <https://www.wur.nl/en/Research-Results/Chair-groups/Animal-Sciences/Animal-Breeding-and-Genomics-Group/Research/Software.htm>.
Author: Mohammad Ali Nilforooshan [aut, cre] (<https://orcid.org/0000-0003-0339-5442>)
Maintainer: Mohammad Ali Nilforooshan <m.a.nilforooshan@gmail.com>

Diff between pedSimulate versions 1.0.1 dated 2021-06-30 and 1.1.0 dated 2021-07-10

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Package drat updated to version 0.2.1 with previous version 0.2.0 dated 2021-04-22

Title: 'Drat' R Archive Template
Description: Creation and use of R Repositories via helper functions to insert packages into a repository, and to add repository information to the current R session. Two primary types of repositories are support: gh-pages at GitHub, as well as local repositories on either the same machine or a local network. Drat is a recursive acronym: Drat R Archive Template.
Author: Dirk Eddelbuettel with contributions by Carl Boettiger, Neal Fultz, Sebastian Gibb, Colin Gillespie, Jan Górecki, Matt Jones, Thomas Leeper, Steven Pav, Jan Schulz, Christoph Stepper, Felix G.M. Ernst and Patrick Schratz.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package Rfmtool (with last version 4.1.2) was removed from CRAN

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

2021-06-25 4.1.2

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Package glmmTMB (with last version 1.1.1) was removed from CRAN

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

2021-06-24 1.1.1
2020-07-02 1.0.2.1
2020-03-15 1.0.1
2020-02-03 1.0.0
2019-01-11 0.2.3
2018-07-03 0.2.2.0
2018-05-10 0.2.1.0
2017-12-11 0.2.0
2017-10-26 0.1.4
2017-02-20 0.1.1

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Package UniprotR updated to version 2.0.8 with previous version 2.0.7 dated 2021-06-06

Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

Diff between UniprotR versions 2.0.7 dated 2021-06-06 and 2.0.8 dated 2021-07-10

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Package tsBSS updated to version 1.0.0 with previous version 0.5.7 dated 2021-04-01

Title: Blind Source Separation and Supervised Dimension Reduction for Time Series
Description: Different estimators are provided to solve the blind source separation problem for multivariate time series with stochastic volatility and supervised dimension reduction problem for multivariate time series. Different functions based on AMUSE and SOBI are also provided for estimating the dimension of the white noise subspace. The package is fully described in Nordhausen, Matilainen, Miettinen, Virta and Taskinen (2021) <doi:10.18637/jss.v098.i15>.
Author: Markus Matilainen [cre, aut] (<https://orcid.org/0000-0002-5597-2670>), Christophe Croux [aut], Jari Miettinen [aut] (<https://orcid.org/0000-0002-3270-7014>), Klaus Nordhausen [aut] (<https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut], Sara Taskinen [aut] (<https://orcid.org/0000-0001-9470-7258>), Joni Virta [aut] (<https://orcid.org/0000-0002-2150-2769>)
Maintainer: Markus Matilainen <markus.matilainen@outlook.com>

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Package IsoplotRgui updated to version 4.1 with previous version 4.0 dated 2021-06-07

Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre], Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package bssm updated to version 1.1.5 with previous version 1.1.4 dated 2021-04-13

Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space Models
Description: Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo (MCMC) and MCMC based on parallel importance sampling type weighted estimators (Vihola, Helske, and Franks, 2020, <doi:10.1111/sjos.12492>). Gaussian, Poisson, binomial, negative binomial, and Gamma observation densities and basic stochastic volatility models with linear-Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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