Sun, 11 Oct 2020

Package mixedCCA updated to version 1.4.3 with previous version 1.3.1 dated 2020-08-27

Title: Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data
Description: Semi-parametric approach for sparse canonical correlation analysis which can handle mixed data types: continuous, binary and truncated continuous. Bridge functions are provided to connect Kendall's tau to latent correlation under the Gaussian copula model. The methods are described in Yoon, Carroll and Gaynanova (2020) <doi:10.1093/biomet/asaa007> and Yoon, Müller and Gaynanova (2020) <arXiv:2006.13875>.
Author: Grace Yoon [aut, cre] (<https://orcid.org/0000-0003-3263-1352>), Irina Gaynanova [aut] (<https://orcid.org/0000-0002-4116-0268>)
Maintainer: Grace Yoon <gyoon6067@gmail.com>

Diff between mixedCCA versions 1.3.1 dated 2020-08-27 and 1.4.3 dated 2020-10-11

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Package disaggR updated to version 0.1.9 with previous version 0.1.8 dated 2020-10-10

Title: Two-Steps Benchmarks for Time Series Disaggregation
Description: The twoStepsBenchmark() function and its wrappers allow you to disaggregate a low frequency time serie with time series of higher frequency, using the French National Accounts methodology. The aggregated sum of the resulting time-serie is strictly equal to the low-frequency serie within the benchmarking window. Typically, the low frequency serie is an annual one, unknown for the last year, and the high frequency is either quarterly or mensual. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8).
Author: Arnaud Feldmann
Maintainer: Arnaud Feldmann <arnaud.feldmann@gmail.com>

Diff between disaggR versions 0.1.8 dated 2020-10-10 and 0.1.9 dated 2020-10-11

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Package DHS.rates updated to version 0.8.0 with previous version 0.7.1 dated 2020-05-18

Title: Calculates Demographic Indicators
Description: Calculates key indicators such as fertility rates (Total Fertility Rate (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR)) using Demographic and Health Survey (DHS) women/individual data, childhood mortality probabilities and rates such as Neonatal Mortality Rate (NNMR), Post-neonatal Mortality Rate (PNNMR), Infant Mortality Rate (IMR), Child Mortality Rate (CMR), and Under-five Mortality Rate (U5MR), and adult mortality indicators such as the Age Specific Mortality Rate (ASMR), Age Adjusted Mortality Rate (AAMR), Age Specific Maternal Mortality Rate (ASMMR), Age Adjusted Maternal Mortality Rate (AAMMR), Age Specific Pregnancy Related Mortality Rate (ASPRMR), Age Adjusted Pregnancy Related Mortality Rate (AAPRMR), Maternal Mortality Ratio (MMR) and Pregnancy Related Mortality Ratio (PRMR). In addition to the indicators, the 'DHS.rates' package estimates sampling errors indicators such as Standard Error (SE), Design Effect (DEFT), Relative Standard Error (RSE) and Confidence Interval (CI). The package is developed according to the DHS methodology of calculating the fertility indicators and the childhood mortality rates outlined in the "Guide to DHS Statistics" (Croft, Trevor N., Aileen M. J. Marshall, Courtney K. Allen, et al. 2018, <https://dhsprogram.com/Data/Guide-to-DHS-Statistics/index.cfm>) and the DHS methodology of estimating the sampling errors indicators outlined in the "DHS Sampling and Household Listing Manual" (ICF International 2012, <https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf>).
Author: Mahmoud Elkasabi
Maintainer: Mahmoud Elkasabi <mahmoud.elkasabi@icf.com>

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Package BTM updated to version 0.3.4 with previous version 0.3.3 dated 2020-10-10

Title: Biterm Topic Models for Short Text
Description: Biterm Topic Models find topics in collections of short texts. It is a word co-occurrence based topic model that learns topics by modeling word-word co-occurrences patterns which are called biterms. This in contrast to traditional topic models like Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis which are word-document co-occurrence topic models. A biterm consists of two words co-occurring in the same short text window. This context window can for example be a twitter message, a short answer on a survey, a sentence of a text or a document identifier. The techniques are explained in detail in the paper 'A Biterm Topic Model For Short Text' by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng (2013) <https://github.com/xiaohuiyan/xiaohuiyan.github.io/blob/master/paper/BTM-WWW13.pdf>.
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Xiaohui Yan [ctb, cph] (BTM C++ library)
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between BTM versions 0.3.3 dated 2020-10-10 and 0.3.4 dated 2020-10-11

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New package anscombiser with initial version 1.0.0
Package: anscombiser
Title: Create Datasets with Identical Summary Statistics
Version: 1.0.0
Date: 2020-10-10
Authors@R: person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk", role = c("aut", "cre", "cph"))
Description: Anscombe's quartet are a set of four two-variable datasets that have several common summary statistics but which have very different joint distributions. This becomes apparent when the data are plotted, which illustrates the importance of using graphical displays in Statistics. This package enables the creation of datasets that have identical marginal sample means and sample variances, sample correlation, least squares regression coefficients and coefficient of determination. The user supplies an initial dataset, which is shifted, scaled and rotated in order to achieve target summary statistics. The general shape of the initial dataset is retained. The target statistics can be supplied directly or calculated based on a user-supplied dataset. The 'datasauRus' package <https://cran.r-project.org/package=datasauRus> provides further examples of datasets that have markedly different scatter plots but share many sample summary statistics.
Imports: datasets, graphics, stats
License: GPL (>= 2)
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 3.3.0)
RoxygenNote: 7.1.0
Suggests: datasauRus, maps, testthat, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://paulnorthrop.github.io/anscombiser/, https://github.com/paulnorthrop/anscombiser
BugReports: https://github.com/paulnorthrop/anscombiser/issues
NeedsCompilation: no
Packaged: 2020-10-10 11:17:25 UTC; paul
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2020-10-11 23:40:05 UTC

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Package globals updated to version 0.13.1 with previous version 0.13.0 dated 2020-09-17

Title: Identify Global Objects in R Expressions
Description: Identifies global ("unknown" or "free") objects in R expressions by code inspection using various strategies (ordered, liberal, or conservative). The objective of this package is to make it as simple as possible to identify global objects for the purpose of exporting them in parallel, distributed compute environments.
Author: Henrik Bengtsson [aut, cre, cph], Davis Vaughan [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package zipfR updated to version 0.6-70 with previous version 0.6-66 dated 2019-10-01

Title: Statistical Models for Word Frequency Distributions
Description: Statistical models and utilities for the analysis of word frequency distributions. The utilities include functions for loading, manipulating and visualizing word frequency data and vocabulary growth curves. The package also implements several statistical models for the distribution of word frequencies in a population. (The name of this package derives from the most famous word frequency distribution, Zipf's law.)
Author: Stefan Evert <stefan.evert@fau.de>, Marco Baroni <marco.baroni@unitn.it>
Maintainer: Stefan Evert <stefan.evert@fau.de>

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Package nametagger updated to version 0.1.1 with previous version 0.1.0 dated 2020-06-04

Title: Named Entity Recognition in Texts using 'NameTag'
Description: Wraps the 'nametag' library <https://github.com/ufal/nametag>, allowing users to find and extract entities (names, persons, locations, addresses, ...) in raw text and build your own entity recognition models. Based on a maximum entropy Markov model which is described in Strakova J., Straka M. and Hajic J. (2013) <http://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf>.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Straková [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between nametagger versions 0.1.0 dated 2020-06-04 and 0.1.1 dated 2020-10-11

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Package ICAOD updated to version 1.0.1 with previous version 1.0.0 dated 2020-08-02

Title: Optimal Designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm (ICA)
Description: Finds optimal designs for nonlinear models using a metaheuristic algorithm called Imperialist Competitive Algorithm (ICA). See, for details, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014> and Masoudi et al. (2019) <doi:10.1080/10618600.2019.1601097>.
Author: Ehsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut], Seongho Kim [ctb]
Maintainer: Ehsan Masoudi <esn_mud@yahoo.com>

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Package earth updated to version 5.3.0 with previous version 5.2.0 dated 2020-09-16

Title: Multivariate Adaptive Regression Splines
Description: Build regression models using the techniques in Friedman's papers "Fast MARS" and "Multivariate Adaptive Regression Splines" <doi:10.1214/aos/1176347963>. (The term "MARS" is trademarked and thus not used in the name of the package.)
Author: Stephen Milborrow. Derived from mda:mars by Trevor Hastie and Rob Tibshirani. Uses Alan Miller's Fortran utilities with Thomas Lumley's leaps wrapper.
Maintainer: Stephen Milborrow <milbo@sonic.net>

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Package rENA updated to version 0.2.1.2 with previous version 0.2.1.1 dated 2020-10-02

Title: Epistemic Network Analysis
Description: ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models. Shaffer, D.W., Collier, W., & Ruis, A.R. (2016) <https://learning-analytics.info/index.php/JLA/article/view/4329>.
Author: Cody L Marquart [aut, cre] (<https://orcid.org/0000-0002-3387-6792>), Zachari Swiecki [aut], Wesley Collier [aut], Brendan Eagan [aut], Roman Woodward [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>

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Package poorman updated to version 0.2.2 with previous version 0.2.1 dated 2020-07-01

Title: A Poor Man's Dependency Free Recreation of 'dplyr'
Description: A replication of key functionality from 'dplyr' and the wider 'tidyverse' using only 'base'.
Author: Nathan Eastwood [aut, cre]
Maintainer: Nathan Eastwood <nathan.eastwood@icloud.com>

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Package rnaseqWrapper (with last version 1.0-1) was removed from CRAN

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2014-07-23 1.0-1
2014-07-17 1.0

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Package monographaR updated to version 1.2.1 with previous version 1.2.0 dated 2016-07-13

Title: Taxonomic Monographs Tools
Description: Contains functions intended to facilitate the production of plant taxonomic monographs. The package includes functions to convert tables into taxonomic descriptions, lists of collectors, examined specimens, and can generate a monograph skeleton. Additionally, wrapper functions to batch the production of phenology charts and distributional and diversity maps are also available.
Author: Marcelo Reginato
Maintainer: Marcelo Reginato <reginatobio@yahoo.com.br>

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Package isotree updated to version 0.1.19 with previous version 0.1.18 dated 2020-07-29

Title: Isolation-Based Outlier Detection
Description: Fast and multi-threaded implementation of isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>), extended isolation forest (Hariri, Kind, Brunner (2018) <arXiv:1811.02141>), SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>), and fair-cut forest (Cortes (2019) <arXiv:1911.06646>), for isolation-based outlier detection, clustered outlier detection, distance or similarity approximation (Cortes (2019) <arXiv:1910.12362>), and imputation of missing values (Cortes (2019) <arXiv:1911.06646>), based on random or guided decision tree splitting. Provides simple heuristics for fitting the model to categorical columns and handling missing data, and offers options for varying between random and guided splits, and for using different splitting criteria.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package pkgcache updated to version 1.1.1 with previous version 1.1.0 dated 2020-07-07

Title: Cache 'CRAN'-Like Metadata and R Packages
Description: Metadata and package cache for CRAN-like repositories. This is a utility package to be used by package management tools that want to take advantage of caching.
Author: Gábor Csárdi [aut, cre]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package tzupdater updated to version 0.1.2 with previous version 0.1.1 dated 2020-08-12

Title: Time Zone Database Updater
Description: Download and compile any version of the IANA Time Zone Database (also known as Olson database) and make it current in your R session. Beware: on Windows 'Cygwin' is required!
Author: Sebastien Thonnard
Maintainer: Sebastien Thonnard <sebastien.thonnard@icloud.com>

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Package plot.matrix updated to version 1.5.1 with previous version 1.4 dated 2019-12-09

Title: Visualizes a Matrix as Heatmap
Description: Visualizes a matrix object plainly as heatmap. It provides S3 functions to plot simple matrices and loading matrices.
Author: Sigbert Klinke [aut, cre], Frédéric Chevalier [ctb]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>

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Package cbq updated to version 0.2.0.2 with previous version 0.2.0.1 dated 2020-05-27

Title: Conditional Binary Quantile Models
Description: Estimates conditional binary quantile models developed by Lu (2020) <doi:10.1017/pan.2019.29>. The estimation procedure is implemented based on Markov chain Monte Carlo methods.
Author: Xiao Lu
Maintainer: Xiao LU <xiao.lu.research@gmail.com>

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Package blogdown updated to version 0.21 with previous version 0.20 dated 2020-06-23

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Beilei Bian [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], JJ Allaire [ctb], Kevin Ushey [ctb], Leonardo Collado-Torres [ctb], Xianying Tan [ctb], Raniere Silva [ctb], Jozef Hajnala [ctb], RStudio, PBC [cph]
Maintainer: Yihui Xie <xie@yihui.name>

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Package mbend updated to version 1.3.1 with previous version 1.3.0 dated 2020-06-05

Title: Matrix Bending
Description: Bending non-positive-definite (symmetric) matrices to positive-definite, using weighted and unweighted methods. Jorjani, H., et al. (2003) <doi:10.3168/jds.S0022-0302(03)73646-7>. Schaeffer, L. R. (2014) <http://animalbiosciences.uoguelph.ca/~lrs/ELARES/PDforce.pdf>.
Author: Mohammad Ali Nilforooshan [aut, cre] (<https://orcid.org/0000-0003-0339-5442>)
Maintainer: Mohammad Ali Nilforooshan <m.a.nilforooshan@gmail.com>

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Package AbsFilterGSEA (with last version 1.5.1) was removed from CRAN

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

2017-09-21 1.5.1
2016-08-26 1.5
2016-04-04 1.2.1
2016-03-30 1.2
2016-03-16 1.0
2016-01-04 0.1

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Package apmsWAPP (with last version 1.0) was removed from CRAN

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2014-04-04 1.0

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

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

2017-04-13 0.1.2
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Package ggip updated to version 0.2.0 with previous version 0.1.0 dated 2020-09-25

Title: Data Visualization for IP Addresses and Networks
Description: A 'ggplot2' extension that enables visualization of IP (Internet Protocol) addresses and networks. The address space is mapped onto the Cartesian coordinate system using a space-filling curve. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces.
Author: David Hall [aut, cre] (<https://orcid.org/0000-0002-2193-0480>)
Maintainer: David Hall <david.hall.physics@gmail.com>

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Package AlphaSimR updated to version 0.13.0 with previous version 0.12.2 dated 2020-05-19

Title: Breeding Program Simulations
Description: The successor to the 'AlphaSim' software for breeding program simulation [Faux et al. (2016) <doi:10.3835/plantgenome2016.02.0013>]. Used for stochastic simulations of breeding programs to the level of DNA sequence for every individual. Contained is a wide range of functions for modeling common tasks in a breeding program, such as selection and crossing. These functions allow for constructing simulations of highly complex plant and animal breeding programs via scripting in the R software environment. Such simulations can be used to evaluate overall breeding program performance and conduct research into breeding program design, such as implementation of genomic selection. Included is the 'Markovian Coalescent Simulator' ('MaCS') for fast simulation of biallelic sequences according to a population demographic history [Chen et al. (2009) <doi:10.1101/gr.083634.108>].
Author: Chris Gaynor [aut, cre] (<https://orcid.org/0000-0003-0558-6656>), Gregor Gorjanc [aut] (<https://orcid.org/0000-0001-8008-2787>), John Hickey [aut] (<https://orcid.org/0000-0001-5675-3974>), Daniel Money [ctb] (<https://orcid.org/0000-0001-5151-3648>), David Wilson [ctb]
Maintainer: Chris Gaynor <gaynor.robert@hotmail.com>

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 AlphaSimR-0.13.0/AlphaSimR/man/editGenome.Rd                 |   96 
 AlphaSimR-0.13.0/AlphaSimR/man/editGenomeTopQtl.Rd           |   88 
 AlphaSimR-0.13.0/AlphaSimR/man/fastRRBLUP.Rd                 |  154 
 AlphaSimR-0.13.0/AlphaSimR/man/genParam.Rd                   |  128 
 AlphaSimR-0.13.0/AlphaSimR/man/genicVarA.Rd                  |   60 
 AlphaSimR-0.13.0/AlphaSimR/man/genicVarAA.Rd                 |   62 
 AlphaSimR-0.13.0/AlphaSimR/man/genicVarD.Rd                  |   60 
 AlphaSimR-0.13.0/AlphaSimR/man/genicVarG.Rd                  |   60 
 AlphaSimR-0.13.0/AlphaSimR/man/getQtlMap.Rd                  |   80 
 AlphaSimR-0.13.0/AlphaSimR/man/getSnpMap.Rd                  |   82 
 AlphaSimR-0.13.0/AlphaSimR/man/gv.Rd                         |   56 
 AlphaSimR-0.13.0/AlphaSimR/man/hybridCross.Rd                |  100 
 AlphaSimR-0.13.0/AlphaSimR/man/makeCross.Rd                  |   82 
 AlphaSimR-0.13.0/AlphaSimR/man/makeCross2.Rd                 |   86 
 AlphaSimR-0.13.0/AlphaSimR/man/makeDH.Rd                     |   84 
 AlphaSimR-0.13.0/AlphaSimR/man/meanG.Rd                      |   56 
 AlphaSimR-0.13.0/AlphaSimR/man/meanP.Rd                      |   56 
 AlphaSimR-0.13.0/AlphaSimR/man/mergeGenome.Rd                |   84 
 AlphaSimR-0.13.0/AlphaSimR/man/mergePops.Rd                  |   62 
 AlphaSimR-0.13.0/AlphaSimR/man/mutate.Rd                     |   92 
 AlphaSimR-0.13.0/AlphaSimR/man/nInd.Rd                       |   56 
 AlphaSimR-0.13.0/AlphaSimR/man/newMapPop.Rd                  |  100 
 AlphaSimR-0.13.0/AlphaSimR/man/newPop.Rd                     |  112 
 AlphaSimR-0.13.0/AlphaSimR/man/pedigreeCross.Rd              |  158 
 AlphaSimR-0.13.0/AlphaSimR/man/pheno.Rd                      |   56 
 AlphaSimR-0.13.0/AlphaSimR/man/popVar.Rd                     |   40 
 AlphaSimR-0.13.0/AlphaSimR/man/pullIbdHaplo.Rd               |  118 
 AlphaSimR-0.13.0/AlphaSimR/man/pullQtlGeno.Rd                |  188 
 AlphaSimR-0.13.0/AlphaSimR/man/pullQtlHaplo.Rd               |  254 
 AlphaSimR-0.13.0/AlphaSimR/man/pullSegSiteGeno.Rd            |   74 
 AlphaSimR-0.13.0/AlphaSimR/man/pullSegSiteHaplo.Rd           |   82 
 AlphaSimR-0.13.0/AlphaSimR/man/pullSnpGeno.Rd                |   78 
 AlphaSimR-0.13.0/AlphaSimR/man/pullSnpHaplo.Rd               |   86 
 AlphaSimR-0.13.0/AlphaSimR/man/quickHaplo.Rd                 |   70 
 AlphaSimR-0.13.0/AlphaSimR/man/randCross.Rd                  |  106 
 AlphaSimR-0.13.0/AlphaSimR/man/randCross2.Rd                 |  124 
 AlphaSimR-0.13.0/AlphaSimR/man/reduceGenome.Rd               |  108 
 AlphaSimR-0.13.0/AlphaSimR/man/resetPop.Rd                   |   72 
 AlphaSimR-0.13.0/AlphaSimR/man/runMacs.Rd                    |  124 
 AlphaSimR-0.13.0/AlphaSimR/man/runMacs2.Rd                   |  154 
 AlphaSimR-0.13.0/AlphaSimR/man/sampleHaplo.Rd                |   66 
 AlphaSimR-0.13.0/AlphaSimR/man/selIndex.Rd                   |   90 
 AlphaSimR-0.13.0/AlphaSimR/man/selInt.Rd                     |   36 
 AlphaSimR-0.13.0/AlphaSimR/man/selectCross.Rd                |  174 
 AlphaSimR-0.13.0/AlphaSimR/man/selectFam.Rd                  |  164 
 AlphaSimR-0.13.0/AlphaSimR/man/selectInd.Rd                  |  148 
 AlphaSimR-0.13.0/AlphaSimR/man/selectOP.Rd                   |  150 
 AlphaSimR-0.13.0/AlphaSimR/man/selectWithinFam.Rd            |  166 
 AlphaSimR-0.13.0/AlphaSimR/man/self.Rd                       |   82 
 AlphaSimR-0.13.0/AlphaSimR/man/setEBV.Rd                     |  132 
 AlphaSimR-0.13.0/AlphaSimR/man/setPheno.Rd                   |  163 
 AlphaSimR-0.13.0/AlphaSimR/man/setPhenoGCA.Rd                |  152 
 AlphaSimR-0.13.0/AlphaSimR/man/smithHazel.Rd                 |   60 
 AlphaSimR-0.13.0/AlphaSimR/man/usefulness.Rd                 |  122 
 AlphaSimR-0.13.0/AlphaSimR/man/varA.Rd                       |   60 
 AlphaSimR-0.13.0/AlphaSimR/man/varAA.Rd                      |   62 
 AlphaSimR-0.13.0/AlphaSimR/man/varD.Rd                       |   60 
 AlphaSimR-0.13.0/AlphaSimR/man/varG.Rd                       |   56 
 AlphaSimR-0.13.0/AlphaSimR/man/varP.Rd                       |   56 
 AlphaSimR-0.13.0/AlphaSimR/man/writePlink.Rd                 |  130 
 AlphaSimR-0.13.0/AlphaSimR/man/writeRecords.Rd               |   80 
 AlphaSimR-0.13.0/AlphaSimR/src/algorithm.cpp                 |  184 
 AlphaSimR-0.13.0/AlphaSimR/src/datastructures.cpp            |  267 
 AlphaSimR-0.13.0/AlphaSimR/src/plink.cpp                     |    4 
 AlphaSimR-0.13.0/AlphaSimR/src/simulator.cpp                 |  245 
 AlphaSimR-0.13.0/AlphaSimR/src/simulator.h                   |   38 
 AlphaSimR-0.13.0/AlphaSimR/tests/testthat.R                  |    8 
 AlphaSimR-0.13.0/AlphaSimR/tests/testthat/test-addTrait.R    |  132 
 AlphaSimR-0.13.0/AlphaSimR/tests/testthat/test-crossing.R    |  256 
 AlphaSimR-0.13.0/AlphaSimR/tests/testthat/test-editGenome.R  |   30 
 AlphaSimR-0.13.0/AlphaSimR/tests/testthat/test-hybrids.R     |  128 
 AlphaSimR-0.13.0/AlphaSimR/tests/testthat/test-ibdRecHaplo.R | 1468 ++--
 AlphaSimR-0.13.0/AlphaSimR/tests/testthat/test-statistics.R  |   60 
 AlphaSimR-0.13.0/AlphaSimR/vignettes/AlphaSimR.bib           |  288 
 AlphaSimR-0.13.0/AlphaSimR/vignettes/intro.Rmd               |  264 
 AlphaSimR-0.13.0/AlphaSimR/vignettes/traits.Rmd              |  372 -
 142 files changed, 17887 insertions(+), 18359 deletions(-)

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