Sun, 17 Jul 2016

New package SinIW with initial version 0.1
Package: SinIW
Type: Package
Title: The SinIW Distribution
Version: 0.1
Date: 2016-07-14
Author: Luciano Souza <lcnsza@gmail.com>, Lucas Gallindo <lgallindo@gmail.com>, Luciano Serafim de Souza <lucianoserafimdesouza@gmail.com>
Maintainer: Lucas Gallindo <lgallindo@gmail.com>
Description: Density, distribution function, quantile function, random generation and survival function for the Sine Inverse Weibull Distribution as defined by SOUZA, L. New Trigonometric Class of Probabilistic Distributions. 219 p. Thesis (Doctorate in Biometry and Applied Statistics) - Department of Statistics and Information, Federal Rural University of Pernambuco, Recife, Pernambuco, 2015 (available at <http://www.openthesis.org/documents/New-trigonometric-classes-probabilistic-distributions-602633.html>) and BRITO, C. C. R. Method Distributions generator and Probability Distributions Classes. 241 p. Thesis (Doctorate in Biometry and Applied Statistics) - Department of Statistics and Information, Federal Rural University of Pernambuco, Recife, Pernambuco, 2014 (available upon request).
Depends: R (>= 3.0.1)
Imports: pracma, fdrtool
License: MIT + file LICENSE
LazyData: TRUE
URL: https://github.com/TrigonometricDistribution
BugReports: https://github.com/TrigonometricDistribution/SinIW/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-17 17:16:23 UTC; Robson
Repository: CRAN
Date/Publication: 2016-07-17 22:12:28

More information about SinIW at CRAN
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New package SecKW with initial version 0.1
Package: SecKW
Type: Package
Title: The SecKW Distribution
Version: 0.1
Date: 2016-07-14
Author: Luciano Souza <lcnsza@gmail.com>, Lucas Gallindo <lgallindo@gmail.com>, Luciano Serafim de Souza <lucianoserafimdesouza@gmail.com>
Maintainer: Lucas Gallindo <lgallindo@gmail.com>
Description: Density, distribution function, quantile function, random generation and survival function for the Secant Kumaraswamy Weibull Distribution as defined by SOUZA, L. New Trigonometric Class of Probabilistic Distributions. 219 p. Thesis (Doctorate in Biometry and Applied Statistics) - Department of Statistics and Information, Federal Rural University of Pernambuco, Recife, Pernambuco, 2015 (available at <http://www.openthesis.org/documents/New-trigonometric-classes-probabilistic-distributions-602633.html>) and BRITO, C. C. R. Method Distributions generator and Probability Distributions Classes. 241 p. Thesis (Doctorate in Biometry and Applied Statistics) - Department of Statistics and Information, Federal Rural University of Pernambuco, Recife, Pernambuco, 2014 (available upon request).
Depends: R (>= 3.0.1)
Imports: pracma, fdrtool
License: MIT + file LICENSE
LazyData: TRUE
URL: https://github.com/TrigonometricDistribution
BugReports: https://github.com/TrigonometricDistribution/SecKW/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-17 17:24:27 UTC; Robson
Repository: CRAN
Date/Publication: 2016-07-17 22:12:30

More information about SecKW at CRAN
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Package accrual updated to version 1.2 with previous version 1.1 dated 2015-06-10

Title: Bayesian Accrual Prediction
Description: Subject recruitment for medical research is challenging. Slow patient accrual leads to delay in research. Accrual monitoring during the process of recruitment is critical. Researchers need reliable tools to manage the accrual rate. We developed a Bayesian method that integrates researcher's experience on previous trials and data from the current study, providing reliable prediction on accrual rate for clinical studies. In this R package, we present functions for Bayesian accrual prediction which can be easily used by statisticians and clinical researchers.
Author: Junhao Liu, Yu Jiang, Cen Wu, Steve Simon, Matthew S. Mayo, Rama Raghavan, Byron J. Gajewski
Maintainer: Junhao Liu <jliu4@kumc.edu>

Diff between accrual versions 1.1 dated 2015-06-10 and 1.2 dated 2016-07-17

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 26 files changed, 110 insertions(+), 79 deletions(-)

More information about accrual at CRAN
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New package CosW with initial version 0.1
Package: CosW
Type: Package
Title: The CosW Distribution
Version: 0.1
Date: 2016-07-14
Author: Luciano Souza <lcnsza@gmail.com>, Lucas Gallindo <lgallindo@gmail.com>, Luciano Serafim de Souza <lucianoserafimdesouza@gmail.com>
Maintainer: Lucas Gallindo <lgallindo@gmail.com>
Description: Density, distribution function, quantile function, random generation and survival function for the Cosine Weibull Distribution as defined by SOUZA, L. New Trigonometric Class of Probabilistic Distributions. 219 p. Thesis (Doctorate in Biometry and Applied Statistics) - Department of Statistics and Information, Federal Rural University of Pernambuco, Recife, Pernambuco, 2015 (available at <http://www.openthesis.org/documents/New-trigonometric-classes-probabilistic-distributions-602633.html>) and BRITO, C. C. R. Method Distributions generator and Probability Distributions Classes. 241 p. Thesis (Doctorate in Biometry and Applied Statistics) - Department of Statistics and Information, Federal Rural University of Pernambuco, Recife, Pernambuco, 2014 (available upon request).
Depends: R (>= 3.0.1)
Imports: pracma, fdrtool
License: MIT + file LICENSE
LazyData: TRUE
URL: https://github.com/TrigonometricDistribution
BugReports: https://github.com/TrigonometricDistribution/CosW/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-07-17 17:21:36 UTC; Robson
Repository: CRAN
Date/Publication: 2016-07-17 22:12:26

More information about CosW at CRAN
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Package heuristica updated to version 1.0.1 with previous version 1.0.0 dated 2016-06-18

Title: Heuristics Including Take the Best and Unit-Weight Linear
Description: Implements various heuristics like Take The Best and unit-weight linear, which do two-alternative choice: which of two objects will have a higher criterion? Also offers functions to assess performance, e.g. percent correct across all row pairs in a data set and finding row pairs where models disagree. New models can be added by implementing a fit and predict function-- see vignette.
Author: Jean Whitmore [aut, cre], Daniel Barkoczi [aut]
Maintainer: Jean Whitmore <jeanimal@gmail.com>

Diff between heuristica versions 1.0.0 dated 2016-06-18 and 1.0.1 dated 2016-07-17

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 27 files changed, 764 insertions(+), 320 deletions(-)

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Package MVar.pt updated to version 1.9.2 with previous version 1.9.1 dated 2016-06-28

Title: Analise multivariada (brazilian portuguese)
Description: Pacote para analise multivariada, que possui funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise de cluster hierarquico e nao hierarquico, regressao linear, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos. Tambem possui outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@dex.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MVar.pt versions 1.9.1 dated 2016-06-28 and 1.9.2 dated 2016-07-17

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More information about MVar.pt at CRAN
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Package MRS updated to version 1.2 with previous version 1.1.1 dated 2016-07-10

Title: Multi-Resolution Scanning for Cross-Sample Differences
Description: An implementation of the MRS algorithm for comparison across distributions. The model is based on a nonparametric process taking the form of a Markov model that transitions between a "null" and an "alternative" state on a multi-resolution partition tree of the sample space. MRS effectively detects and characterizes a variety of underlying differences. These differences can be visualized using several plotting functions.
Author: Jacopo Soriano and Li Ma
Maintainer: Jacopo Soriano <jsoriano.stat@gmail.com>

Diff between MRS versions 1.1.1 dated 2016-07-10 and 1.2 dated 2016-07-17

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 24 files changed, 519 insertions(+), 171 deletions(-)

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Package RVowpalWabbit updated to version 0.0.7 with previous version 0.0.6 dated 2014-01-07

Title: R Interface to the Vowpal Wabbit
Description: The 'Vowpal Wabbit' project is a fast out-of-core learning system sponsored by Microsoft Research (having started at Yahoo! Research) and written by John Langford along with a number of contributors. This R package does not include the distributed computing implementation of the cluster/ directory of the upstream sources. Use of the software as a network service is also not directly supported as the aim is a simpler direct call from R for validation and comparison.
Author: Dirk Eddelbuettel <edd@debian.org>
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RVowpalWabbit versions 0.0.6 dated 2014-01-07 and 0.0.7 dated 2016-07-17

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 10 files changed, 69 insertions(+), 49 deletions(-)

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Package PortfolioEffectHFT updated to version 1.6 with previous version 1.5 dated 2016-02-01

Title: High Frequency Portfolio Analytics by PortfolioEffect
Description: R interface to PortfolioEffect cloud service for backtesting high frequency trading (HFT) strategies, intraday portfolio analysis and optimization. Includes auto-calibrating model pipeline for market microstructure noise, risk factors, price jumps/outliers, tail risk (high-order moments) and price fractality (long memory). Constructed portfolios could use client-side market data or access HF intraday price history for all major US Equities. See https://www.portfolioeffect.com/ for more information on the PortfolioEffect high frequency portfolio analytics platform.
Author: Aleksey Zemnitskiy [aut, cre], Andrey Kostin [aut], Oleg Nechaev [aut], Craig Otis and others [ctb, cph] (OpenFAST library), Daniel Lemire, Muraoka Taro and others [ctb, cph] (JavaFastPFOR library), Joe Walnes, Jorg Schaible and others [ctb, cph] (XStream library), Dain Sundstrom [ctb, cph] (Snappy library), Extreme! Lab, Indiana University [ctb, cph] (XPP3 library), The Apache Software Foundation [ctb, cph] (Apache Log4j and Commons Lang libraries), Google, Inc. [ctb, cph] (GSON library), Free Software Foundation [ctb, cph] (GNU Trove and GNU Crypto libraries)
Maintainer: Aleksey Zemnitskiy <aleksey.zemnitskiy@portfolioeffect.com>

Diff between PortfolioEffectHFT versions 1.5 dated 2016-02-01 and 1.6 dated 2016-07-17

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Package DiagrammeR updated to version 0.8.4 with previous version 0.8.3 dated 2016-07-16

Title: Create Graph Diagrams and Flowcharts Using R
Description: Create graph diagrams and flowcharts using R.
Author: Knut Sveidqvist [aut, cph] (mermaid.js library in htmlwidgets/lib, http://github.com/knsv/mermaid/), Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib, http://d3js.org), Chris Pettitt [aut, cph] (dagre-d3.js library in htmlwidgets/lib, http://github.com/cpettitt/dagre-d3), Mike Daines [aut, cph] (viz.js library in htmlwidgets/lib, http://github.com/mdaines/viz.js/), Andrei Kashcha [aut, cph] (vivagraphjs library in htmlwidgets/lib, https://github.com/anvaka/VivaGraphJS), Richard Iannone [aut, cre] (R interface)
Maintainer: Richard Iannone <riannone@me.com>

Diff between DiagrammeR versions 0.8.3 dated 2016-07-16 and 0.8.4 dated 2016-07-17

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Package precintcon updated to version 2.3.0 with previous version 2.2.1 dated 2016-01-21

Title: Precipitation Intensity, Concentration and Anomaly Analysis
Description: It contains functions to analyze the precipitation intensity, concentration and anomaly.
Author: Lucas Venezian Povoa [aut, cre], Jonas Teixeira Nery [ctb]
Maintainer: Lucas Venezian Povoa <lucasvenez@gmail.com>

Diff between precintcon versions 2.2.1 dated 2016-01-21 and 2.3.0 dated 2016-07-17

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 118 files changed, 5500 insertions(+), 5521 deletions(-)

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Package hBayesDM updated to version 0.2.3 with previous version 0.2.1 dated 2016-04-03

Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Description: Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding.
Author: Woo-Young Ahn [aut, cre], Nate Haines [aut], Lei Zhang [aut]
Maintainer: Woo-Young Ahn <ahn.280@osu.edu>

Diff between hBayesDM versions 0.2.1 dated 2016-04-03 and 0.2.3 dated 2016-07-17

 hBayesDM-0.2.1/hBayesDM/R/bandit2arm.R                          |only
 hBayesDM-0.2.1/hBayesDM/inst/stan/bandit2arm.stan               |only
 hBayesDM-0.2.1/hBayesDM/man/bandit2arm.Rd                       |only
 hBayesDM-0.2.3/hBayesDM/DESCRIPTION                             |   10 
 hBayesDM-0.2.3/hBayesDM/MD5                                     |  122 ++--
 hBayesDM-0.2.3/hBayesDM/NAMESPACE                               |    8 
 hBayesDM-0.2.3/hBayesDM/R/bandit2arm_delta.R                    |only
 hBayesDM-0.2.3/hBayesDM/R/dd_cs.R                               |  105 ++--
 hBayesDM-0.2.3/hBayesDM/R/dd_exp.R                              |  102 ++--
 hBayesDM-0.2.3/hBayesDM/R/dd_hyperbolic.R                       |  104 ++--
 hBayesDM-0.2.3/hBayesDM/R/gng_m1.R                              |  162 ++++--
 hBayesDM-0.2.3/hBayesDM/R/gng_m2.R                              |  157 ++++--
 hBayesDM-0.2.3/hBayesDM/R/gng_m3.R                              |  162 ++++--
 hBayesDM-0.2.3/hBayesDM/R/gng_m4.R                              |  154 ++++--
 hBayesDM-0.2.3/hBayesDM/R/hBayesDM.R                            |   17 
 hBayesDM-0.2.3/hBayesDM/R/igt_pvl_decay.R                       |  106 ++--
 hBayesDM-0.2.3/hBayesDM/R/igt_pvl_delta.R                       |  109 ++--
 hBayesDM-0.2.3/hBayesDM/R/igt_vpp.R                             |  126 ++---
 hBayesDM-0.2.3/hBayesDM/R/plotHDI.R                             |   11 
 hBayesDM-0.2.3/hBayesDM/R/prl_ewa.R                             |only
 hBayesDM-0.2.3/hBayesDM/R/prl_fictitious.R                      |  133 +++--
 hBayesDM-0.2.3/hBayesDM/R/prl_rp.R                              |only
 hBayesDM-0.2.3/hBayesDM/R/ra_noLA.R                             |only
 hBayesDM-0.2.3/hBayesDM/R/ra_noRA.R                             |only
 hBayesDM-0.2.3/hBayesDM/R/ra_prospect.r                         |  104 ++--
 hBayesDM-0.2.3/hBayesDM/R/ug_bayes.R                            |only
 hBayesDM-0.2.3/hBayesDM/R/ug_delta.R                            |only
 hBayesDM-0.2.3/hBayesDM/inst/NEWS                               |only
 hBayesDM-0.2.3/hBayesDM/inst/extdata/bandit2arm_exampleData.txt |    2 
 hBayesDM-0.2.3/hBayesDM/inst/extdata/prl_exampleData.txt        |    2 
 hBayesDM-0.2.3/hBayesDM/inst/extdata/ug_exampleData.txt         |only
 hBayesDM-0.2.3/hBayesDM/inst/extdata/ug_exampleData_N7.txt      |only
 hBayesDM-0.2.3/hBayesDM/inst/plotting/plot_functions.R          |   68 ++
 hBayesDM-0.2.3/hBayesDM/inst/stan/bandit2arm_delta.stan         |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/dd_cs.stan                    |  126 ++---
 hBayesDM-0.2.3/hBayesDM/inst/stan/dd_exp.stan                   |  108 ++--
 hBayesDM-0.2.3/hBayesDM/inst/stan/dd_hyperbolic.stan            |  107 ++--
 hBayesDM-0.2.3/hBayesDM/inst/stan/gng_m1.stan                   |   72 +-
 hBayesDM-0.2.3/hBayesDM/inst/stan/gng_m1_reg.stan               |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/gng_m2.stan                   |   80 +--
 hBayesDM-0.2.3/hBayesDM/inst/stan/gng_m2_reg.stan               |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/gng_m3.stan                   |   96 +--
 hBayesDM-0.2.3/hBayesDM/inst/stan/gng_m3_reg.stan               |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/gng_m4.stan                   |  116 ++--
 hBayesDM-0.2.3/hBayesDM/inst/stan/gng_m4_reg.rda                |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/gng_m4_reg.stan               |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/igt_pvl_decay.stan            |  250 ++++------
 hBayesDM-0.2.3/hBayesDM/inst/stan/igt_pvl_delta.stan            |  245 ++++-----
 hBayesDM-0.2.3/hBayesDM/inst/stan/igt_vpp.stan                  |  178 ++-----
 hBayesDM-0.2.3/hBayesDM/inst/stan/prl_ewa.stan                  |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/prl_fictitious.stan           |  178 +++----
 hBayesDM-0.2.3/hBayesDM/inst/stan/prl_rp.stan                   |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/ra_noLA.stan                  |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/ra_noRA.stan                  |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/ra_prospect.stan              |   29 -
 hBayesDM-0.2.3/hBayesDM/inst/stan/ug_bayes.stan                 |only
 hBayesDM-0.2.3/hBayesDM/inst/stan/ug_delta.stan                 |only
 hBayesDM-0.2.3/hBayesDM/man/bandit2arm_delta.Rd                 |only
 hBayesDM-0.2.3/hBayesDM/man/dd_cs.Rd                            |   50 +-
 hBayesDM-0.2.3/hBayesDM/man/dd_exp.Rd                           |   49 +
 hBayesDM-0.2.3/hBayesDM/man/dd_hyperbolic.Rd                    |   51 +-
 hBayesDM-0.2.3/hBayesDM/man/gng_m1.Rd                           |   50 +-
 hBayesDM-0.2.3/hBayesDM/man/gng_m2.Rd                           |   55 +-
 hBayesDM-0.2.3/hBayesDM/man/gng_m3.Rd                           |   52 +-
 hBayesDM-0.2.3/hBayesDM/man/gng_m4.Rd                           |   54 +-
 hBayesDM-0.2.3/hBayesDM/man/hBayesDM-package.Rd                 |   25 -
 hBayesDM-0.2.3/hBayesDM/man/igt_pvl_decay.Rd                    |   51 +-
 hBayesDM-0.2.3/hBayesDM/man/igt_pvl_delta.Rd                    |   52 +-
 hBayesDM-0.2.3/hBayesDM/man/igt_vpp.Rd                          |   54 +-
 hBayesDM-0.2.3/hBayesDM/man/plotHDI.Rd                          |    4 
 hBayesDM-0.2.3/hBayesDM/man/prl_ewa.Rd                          |only
 hBayesDM-0.2.3/hBayesDM/man/prl_fictitious.Rd                   |   61 +-
 hBayesDM-0.2.3/hBayesDM/man/prl_rp.Rd                           |only
 hBayesDM-0.2.3/hBayesDM/man/ra_noLA.Rd                          |only
 hBayesDM-0.2.3/hBayesDM/man/ra_noRA.Rd                          |only
 hBayesDM-0.2.3/hBayesDM/man/ra_prospect.Rd                      |   62 +-
 hBayesDM-0.2.3/hBayesDM/man/ug_bayes.Rd                         |only
 hBayesDM-0.2.3/hBayesDM/man/ug_delta.Rd                         |only
 78 files changed, 2465 insertions(+), 1554 deletions(-)

More information about hBayesDM at CRAN
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Package clusterSEs updated to version 2.3.2 with previous version 2.3.1 dated 2016-06-06

Title: Calculate Cluster-Robust p-Values and Confidence Intervals
Description: Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller (2010) <DOI:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) <DOI:10.1162/rest.90.3.414>. Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.
Author: Justin Esarey [aut, cre]
Maintainer: Justin Esarey <justin@justinesarey.com>

Diff between clusterSEs versions 2.3.1 dated 2016-06-06 and 2.3.2 dated 2016-07-17

 DESCRIPTION         |    8 ++++----
 MD5                 |    6 +++---
 R/clusterBS.plm.R   |    2 +-
 R/clusterwild.plm.R |    4 ++--
 4 files changed, 10 insertions(+), 10 deletions(-)

More information about clusterSEs at CRAN
Permanent link

Package alleHap updated to version 0.9.7 with previous version 0.9.2 dated 2015-10-05

Title: Allele Imputation and Haplotype Reconstruction from Pedigree Databases
Description: Tools to simulate alphanumeric alleles, impute genetic missing data and reconstruct non-recombinant haplotypes from pedigree databases in a deterministic way. Allelic simulations can be implemented taking into account many factors (such as number of families, markers, alleles per marker, probability and proportion of missing genotypes, recombination rate, etc). Genotype imputation can be used with simulated datasets or real databases (previously loaded in .ped format). Haplotype reconstruction can be carried out even with missing data, since the program firstly imputes each family genotype (without a reference panel), to later reconstruct the corresponding haplotypes for each family member. All this considering that each individual (due to meiosis) should unequivocally have two alleles per marker (one inherited from each parent) and thus imputation and reconstruction results can be deterministically calculated.
Author: Nathan Medina-Rodriguez and Angelo Santana
Maintainer: Nathan Medina-Rodriguez <nathan.medina@ulpgc.es>

Diff between alleHap versions 0.9.2 dated 2015-10-05 and 0.9.7 dated 2016-07-17

 alleHap-0.9.2/alleHap/R/hapPhaser.R                     |only
 alleHap-0.9.2/alleHap/man/hapPhaser.Rd                  |only
 alleHap-0.9.7/alleHap/DESCRIPTION                       |   16 
 alleHap-0.9.7/alleHap/MD5                               |   41 -
 alleHap-0.9.7/alleHap/NAMESPACE                         |    4 
 alleHap-0.9.7/alleHap/R/alleHaplotyper.R                |only
 alleHap-0.9.7/alleHap/R/alleImputer.R                   |  155 +++--
 alleHap-0.9.7/alleHap/R/alleLoader.R                    |  248 ++++----
 alleHap-0.9.7/alleHap/R/alleSimulator.R                 |  328 +++++------
 alleHap-0.9.7/alleHap/inst/doc/alleHap.R                |   96 ++-
 alleHap-0.9.7/alleHap/inst/doc/alleHap.Rnw              |  277 +++++----
 alleHap-0.9.7/alleHap/inst/doc/alleHap.pdf              |binary
 alleHap-0.9.7/alleHap/inst/examples/example1.ped        |  454 ++++++++--------
 alleHap-0.9.7/alleHap/inst/examples/example2.ped        |   96 +--
 alleHap-0.9.7/alleHap/inst/examples/example3.ped        |   14 
 alleHap-0.9.7/alleHap/inst/examples/example4.ped        |only
 alleHap-0.9.7/alleHap/man/alleHap-package.Rd            |   37 -
 alleHap-0.9.7/alleHap/man/alleHaplotyper.Rd             |only
 alleHap-0.9.7/alleHap/man/alleImputer.Rd                |   14 
 alleHap-0.9.7/alleHap/man/alleLoader.Rd                 |    9 
 alleHap-0.9.7/alleHap/man/alleSimulator.Rd              |   13 
 alleHap-0.9.7/alleHap/vignettes/alleHap-concordance.tex |    4 
 alleHap-0.9.7/alleHap/vignettes/alleHap.Rnw             |  277 +++++----
 alleHap-0.9.7/alleHap/vignettes/main_Page.tex           |    2 
 24 files changed, 1132 insertions(+), 953 deletions(-)

More information about alleHap at CRAN
Permanent link


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