Thu, 02 Mar 2017

Package CensSpatial updated to version 1.3 with previous version 1.2 dated 2016-12-04

Title: Censored Spatial Models
Description: Fits linear regression models for censored spatial data. Provides different estimation methods as the SAEM (Stochastic Approximation of Expectation Maximization) algorithm and seminaive that uses Kriging prediction to estimate the response at censored locations and predict new values at unknown locations. Also offers graphical tools for assessing the fitted model.
Author: Alejandro Ordonez, Christian E. Galarza, Victor H. Lachos
Maintainer: Alejandro Ordonez <ordonezjosealejandro@gmail.com>

Diff between CensSpatial versions 1.2 dated 2016-12-04 and 1.3 dated 2017-03-02

 DESCRIPTION           |    6 +++---
 MD5                   |   18 ++++++++++--------
 R/SAEMSCLfin.R        |    2 +-
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Permanent link

Package aucm updated to version 2017.3-2 with previous version 2016.1-2 dated 2016-01-02

Title: AUC Maximization
Description: Implements methods for identifying linear and nonlinear marker combinations that maximizes the Area Under the AUC Curve (AUC).
Author: Youyi Fong <youyifong@gmail.com>, Krisztian Sebestyen <ksebestyen@gmail.com>, Shuxin Yin <yinshuxin05@gmail.com>, Ying Huang <yhuang124@gmail.com>
Maintainer: Youyi Fong <youyifong@gmail.com>

Diff between aucm versions 2016.1-2 dated 2016-01-02 and 2017.3-2 dated 2017-03-02

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Package regsem updated to version 0.7.0 with previous version 0.5.0 dated 2016-12-22

Title: Performs Regularization on Structural Equation Models
Description: Uses both ridge and lasso penalties (and extensions) to penalize specific parameters in structural equation models. The package offers additional cost functions, cross validation, and other extensions beyond traditional structural equation models.
Author: Ross Jacobucci[aut,cre], Kevin J. Grimm [ctb]
Maintainer: Ross Jacobucci <rcjacobuc@gmail.com>

Diff between regsem versions 0.5.0 dated 2016-12-22 and 0.7.0 dated 2017-03-02

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Package QuantumClone updated to version 1.0.0.3 with previous version 0.16.8.19 dated 2016-08-26

Title: Clustering Mutations using High Throughput Sequencing (HTS) Data
Description: Using HTS data, clusters mutations in order to recreate putative clones from the data provided. It requires genotype at the location of the variant as well as the depth of coverage and number of reads supporting the mutation. Additional information may be provided, such as the contamination in the tumor sample. This package also provides a function QuantumCat() which simulates data obtained from tumor sequencing.
Author: Paul Deveau [aut, cre]
Maintainer: Paul Deveau <paul.deveau@curie.fr>

Diff between QuantumClone versions 0.16.8.19 dated 2016-08-26 and 1.0.0.3 dated 2017-03-02

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Package parsedate updated to version 1.1.3 with previous version 1.1.1 dated 2014-09-23

Title: Recognize and Parse Dates in Various Formats, Including All ISO 8601 Formats
Description: Parse dates automatically, without the need of specifying a format. Currently it includes the git date parser. It can also recognize and parse all ISO 8601 formats.
Author: Gábor Csárdi, Linus Torvalds
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between parsedate versions 1.1.1 dated 2014-09-23 and 1.1.3 dated 2017-03-02

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Package mirtCAT updated to version 1.4 with previous version 1.3 dated 2017-01-31

Title: Computerized Adaptive Testing with Multidimensional Item Response Theory
Description: Provides tools to generate an HTML interface for creating adaptive and non-adaptive educational and psychological tests using the shiny package. Suitable for applying unidimensional and multidimensional computerized adaptive tests (CAT) using item response theory methodology and for creating simple questionnaires forms to collect response data directly in R. Additionally, optimal test designs (e.g., "shadow testing") are supported for tests which contain a large number of item selection constraints. Finally, package contains tools useful for performing Monte Carlo simulations for studying the behavior of computerized adaptive test banks.
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirtCAT versions 1.3 dated 2017-01-31 and 1.4 dated 2017-03-02

 DESCRIPTION                         |   17 ++---
 MD5                                 |   72 +++++++++++------------
 NEWS.md                             |   48 ++++++++++-----
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More information about mirtCAT at CRAN
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Package mirt updated to version 1.23 with previous version 1.22 dated 2017-01-31

Title: Multidimensional Item Response Theory
Description: Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm. Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modelling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete latent variable models are supported.
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirt versions 1.22 dated 2017-01-31 and 1.23 dated 2017-03-02

 DESCRIPTION                     |   11 
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Package d3r updated to version 0.6.2 with previous version 0.6.1 dated 2017-02-03

Title: 'd3.js' Utilities for R
Description: Helper functions for using 'd3.js' in R.
Author: Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib, http://d3js.org), Kent Russell [aut, cre] (R interface)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

Diff between d3r versions 0.6.1 dated 2017-02-03 and 0.6.2 dated 2017-03-02

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Package gquad updated to version 2.1-0 with previous version 2.0-0 dated 2017-01-14

Title: Prediction of G Quadruplexes and Other Non-B DNA Motifs
Description: Genomic biology is not limited to the confines of the canonical B- forming DNA duplex, but includes over ten different types of other secondary structures that are collectively termed non-B DNA structures. Of these non-B DNA structures, the G-quadruplexes are highly stable four-stranded structures that are recognized by distinct subsets of nuclear factors. This package provide functions for predicting intramolecular G quadruplexes. In addition, functions for predicting other intramolecular nonB DNA structures are included.
Author: Hannah O. Ajoge
Maintainer: Hannah O. Ajoge <ohuajo@gmail.com>

Diff between gquad versions 2.0-0 dated 2017-01-14 and 2.1-0 dated 2017-03-02

 DESCRIPTION |    8 ++++----
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 4 files changed, 11 insertions(+), 11 deletions(-)

More information about gquad at CRAN
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Package flan updated to version 0.4 with previous version 0.3 dated 2016-09-22

Title: FLuctuation ANalysis on Mutation Models
Description: Tools for fluctuations analysis of mutant cells counts.
Author: Adrien Mazoyer [aut, cre], Remy Drouilhet [aut], Stephane Despreaux [aut], Bernard Ycart [aut]
Maintainer: Adrien Mazoyer <Adrien.Mazoyer@univ-grenoble-alpes.fr>

Diff between flan versions 0.3 dated 2016-09-22 and 0.4 dated 2017-03-02

 DESCRIPTION                |   29 -
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 21 files changed, 1578 insertions(+), 1064 deletions(-)

More information about flan at CRAN
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Package BNPdensity updated to version 2017.03 with previous version 2015.5 dated 2015-06-08

Title: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
Description: Bayesian nonparametric density estimation modeling mixtures by a Ferguson-Klass type algorithm for posterior normalized random measures.
Author: Ernesto Barrios [aut, cre], Antonio Lijoi [aut], Luis E. Nieto-Barajas [aut], Igor Prünster [aut], Guillaume Kon Kam King [ctb]
Maintainer: Ernesto Barrios <ebarrios@itam.mx>

Diff between BNPdensity versions 2015.5 dated 2015-06-08 and 2017.03 dated 2017-03-02

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More information about BNPdensity at CRAN
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New package AnnotationBustR with initial version 1.0
Package: AnnotationBustR
Version: 1.0
Date: 2017-2-28
Title: Extract Subsequences from GenBank Annotations
Author: Samuel R. Borstein <sam@borstein.com>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Samuel R. Borstein <sam@borstein.com>
Depends: R (>= 3.2.3)
Imports: ape (>= 4.0), seqinr (>= 3.3-1)
Description: Extraction of subsequences into FASTA files from GenBank annotations where gene names may vary among accessions.
License: GPL (>= 2)
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-02 18:42:15 UTC; sam
Repository: CRAN
Date/Publication: 2017-03-02 21:06:51

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New package MetaComp with initial version 1.0.1
Package: MetaComp
Version: 1.0.1
Title: EDGE Taxonomy Assignments Visualization
Description: Implements routines for metagenome sample taxonomy assignments collection, aggregation, and visualization. Accepts the EDGE-formatted output from GOTTCHA/GOTTCHA2, BWA, Kraken, and MetaPhlAn. Produces SVG and PDF heatmap-like plots comparing taxa abundances across projects.
Authors@R: person("Pavel", "Senin", , "psenin@lanl.gov", c("aut", "cre"))
URL: https://github.com/seninp-bioinfo/MetaComp
BugReports: https://github.com/seninp-bioinfo/MetaComp/issues
Depends: R (>= 3.1.0)
Imports: reshape2, plyr, dplyr, data.table, ggplot2, Cairo
Suggests: testthat
LinkingTo:
LazyData: true
License: GPL-2
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-02 17:38:57 UTC; psenin
Author: Pavel Senin [aut, cre]
Maintainer: Pavel Senin <psenin@lanl.gov>
Repository: CRAN
Date/Publication: 2017-03-02 18:54:57

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New package gaiah with initial version 0.0.2
Package: gaiah
Title: Genetic and Isotopic Assignment Accounting for Habitat Suitability
Description: Tools for using genetic markers, stable isotope data, and habitat suitability data to calculate posterior probabilities of breeding origin of migrating birds.
Version: 0.0.2
Authors@R: c(person(c('Eric', 'C.'), 'Anderson', role = c('cre', 'aut'), email = 'eric.anderson@noaa.gov'))
Maintainer: Eric C. Anderson <eric.anderson@noaa.gov>
Depends: R (>= 3.0.1)
Imports: dplyr, geosphere, ggplot2, lazyeval, magrittr, maptools, raster, rgeos, sp, stringr, tidyr
Suggests: knitr, rmarkdown
License: CC0
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-03-02 17:34:01 UTC; eriq
Author: Eric C. Anderson [cre, aut]
Repository: CRAN
Date/Publication: 2017-03-02 18:54:59

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Package DiversityOccupancy updated to version 1.0.6 with previous version 1.0.5 dated 2016-06-19

Title: Building Diversity Models from Multiple Species Occupancy Models
Description: Predictions of alpha diversity are fitted from presence data, first abundance is modeled from occupancy models and then, several diversity indices are calculated and finally GLM models are used to predict diversity in different environments and select priority areas.
Author: Derek Corcoran [aut, cre], Dylan Kesler [aut], Lisa Webb [aut], Giorgia Graells [aut], Nicole Michel [ctb], Mike Meredith [ctb]
Maintainer: Derek Corcoran <derek.corcoran.barrios@gmail.com>

Diff between DiversityOccupancy versions 1.0.5 dated 2016-06-19 and 1.0.6 dated 2017-03-02

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Permanent link

Package bife updated to version 0.2 with previous version 0.1 dated 2016-07-29

Title: Binary Choice Models with Fixed Effects
Description: Estimates fixed effects binary choice models (logit and probit) with potentially many individual fixed effects and computes average partial effects. Incidental parameter bias can be reduced with a bias-correction proposed by Hahn and Newey (2004) <doi:10.1111/j.1468-0262.2004.00533.x>.
Author: Amrei Stammann [aut, cre], Daniel Czarnowske [aut], Florian Heiss [aut], Daniel McFadden [ctb]
Maintainer: Amrei Stammann <amrei.stammann@hhu.de>

Diff between bife versions 0.1 dated 2016-07-29 and 0.2 dated 2017-03-02

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Package tm updated to version 0.7-1 with previous version 0.7 dated 2017-02-27

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut, cre], Kurt Hornik [aut], Artifex Software, Inc. [ctb, cph] (pdf_info.ps taken from GPL Ghostscript)
Maintainer: Ingo Feinerer <feinerer@logic.at>

Diff between tm versions 0.7 dated 2017-02-27 and 0.7-1 dated 2017-03-02

 DESCRIPTION             |    8 ++++----
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Package sirt updated to version 1.15-41 with previous version 1.14-0 dated 2017-01-11

Title: Supplementary Item Response Theory Models
Description: Supplementary item response theory models to complement existing functions in R, including multidimensional compensatory and noncompensatory IRT models, MCMC for hierarchical IRT models and testlet models, NOHARM, Rasch copula model, faceted and hierarchical rater models, ordinal IRT model (ISOP), DETECT statistic, local structural equation modeling (LSEM), mean and covariance structure modelling for multivariate normally distributed data.
Author: Alexander Robitzsch [aut,cre]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between sirt versions 1.14-0 dated 2017-01-11 and 1.15-41 dated 2017-03-02

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 sirt-1.15-41/sirt/R/linking_haberman_als.R                           |   42 
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 sirt-1.15-41/sirt/R/linking_haberman_als_vcov.R                      |   12 
 sirt-1.15-41/sirt/R/linking_haberman_vcov_transformation.R           |    6 
 sirt-1.15-41/sirt/R/logLik_sirt.R                                    |    2 
 sirt-1.15-41/sirt/R/loglike_mvnorm.R                                 |    6 
 sirt-1.15-41/sirt/R/lsem.MGM.stepfunctions.R                         |   39 
 sirt-1.15-41/sirt/R/lsem.estimate.R                                  |   71 
 sirt-1.15-41/sirt/R/lsem.fitsem.R                                    |   46 
 sirt-1.15-41/sirt/R/lsem.group.moderator.R                           |   46 
 sirt-1.15-41/sirt/R/lsem.parameter.summary.R                         |   30 
 sirt-1.15-41/sirt/R/lsem.permutationTest.R                           |  180 
 sirt-1.15-41/sirt/R/lsem.residualize.R                               |   76 
 sirt-1.15-41/sirt/R/lsem_wtdSD.R                                     |only
 sirt-1.15-41/sirt/R/matrixfunctions_sirt.R                           |   15 
 sirt-1.15-41/sirt/R/mcmc.2pno.R                                      |    2 
 sirt-1.15-41/sirt/R/mcmc.2pno.ml.R                                   |    2 
 sirt-1.15-41/sirt/R/mcmc.2pno.ml_alg.R                               |    2 
 sirt-1.15-41/sirt/R/mcmc.2pno.ml_output.R                            |    2 
 sirt-1.15-41/sirt/R/mcmc.2pno_alg.R                                  |    2 
 sirt-1.15-41/sirt/R/mcmc.2pnoh.R                                     |    2 
 sirt-1.15-41/sirt/R/mcmc.2pnoh_alg.R                                 |    2 
 sirt-1.15-41/sirt/R/mcmc.3pno.testlet.R                              |    2 
 sirt-1.15-41/sirt/R/mcmc.3pno.testlet_alg.R                          |    2 
 sirt-1.15-41/sirt/R/mcmc.3pno.testlet_output.R                       |    2 
 sirt-1.15-41/sirt/R/mcmc.aux.R                                       |    2 
 sirt-1.15-41/sirt/R/mcmc.list.descriptives.R                         |    2 
 sirt-1.15-41/sirt/R/mcmc_Rhat.R                                      |   16 
 sirt-1.15-41/sirt/R/mcmc_WaldTest.R                                  |   42 
 sirt-1.15-41/sirt/R/mcmc_coef.R                                      |    6 
 sirt-1.15-41/sirt/R/mcmc_confint.R                                   |   16 
 sirt-1.15-41/sirt/R/mcmc_derivedPars.R                               |    8 
 sirt-1.15-41/sirt/R/mcmc_plot.R                                      |    4 
 sirt-1.15-41/sirt/R/mcmc_summary.R                                   |   44 
 sirt-1.15-41/sirt/R/mcmc_vcov.R                                      |    8 
 sirt-1.15-41/sirt/R/mcmclist2coda.R                                  |   18 
 sirt-1.15-41/sirt/R/md.pattern.sirt.R                                |   20 
 sirt-1.15-41/sirt/R/mirt.IRT.functions.R                             |    2 
 sirt-1.15-41/sirt/R/mirt.model.vars.R                                |    2 
 sirt-1.15-41/sirt/R/mirt.wrapper.calc.counts.R                       |    2 
 sirt-1.15-41/sirt/R/mirt.wrapper.coef.R                              |    2 
 sirt-1.15-41/sirt/R/mirt.wrapper.fscores.R                           |    2 
 sirt-1.15-41/sirt/R/mirt.wrapper.itemplot.R                          |    2 
 sirt-1.15-41/sirt/R/mle.pcm.group.R                                  |   14 
 sirt-1.15-41/sirt/R/mle.reliability.R                                |    2 
 sirt-1.15-41/sirt/R/mlnormal.R                                       |   26 
 sirt-1.15-41/sirt/R/mlnormalCheckMatrixListDifference.R              |    8 
 sirt-1.15-41/sirt/R/mlnormalMatrix2List.R                            |   10 
 sirt-1.15-41/sirt/R/mlnormal_abs_approx.R                            |   10 
 sirt-1.15-41/sirt/R/mlnormal_adjust_numdiff_parameter.R              |    8 
 sirt-1.15-41/sirt/R/mlnormal_as_vector_names.R                       |    8 
 sirt-1.15-41/sirt/R/mlnormal_covmat_add_ridge.R                      |    6 
 sirt-1.15-41/sirt/R/mlnormal_create_disp.R                           |    8 
 sirt-1.15-41/sirt/R/mlnormal_equal_list_matrices.R                   |    8 
 sirt-1.15-41/sirt/R/mlnormal_equal_matrix.R                          |   10 
 sirt-1.15-41/sirt/R/mlnormal_eval_penalty.R                          |   12 
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 sirt-1.15-41/sirt/R/mlnormal_fill_matrix_from_list.R                 |    4 
 sirt-1.15-41/sirt/R/mlnormal_fit_function_ml.R                       |   10 
 sirt-1.15-41/sirt/R/mlnormal_ic.R                                    |   10 
 sirt-1.15-41/sirt/R/mlnormal_information_matrix_reml.R               |   26 
 sirt-1.15-41/sirt/R/mlnormal_linear_regression_bayes.R               |    6 
 sirt-1.15-41/sirt/R/mlnormal_log_2pi.R                               |    4 
 sirt-1.15-41/sirt/R/mlnormal_log_det.R                               |    4 
 sirt-1.15-41/sirt/R/mlnormal_parameter_change.R                      |    6 
 sirt-1.15-41/sirt/R/mlnormal_postproc_eval_posterior.R               |    8 
 sirt-1.15-41/sirt/R/mlnormal_postproc_parameters.R                   |   36 
 sirt-1.15-41/sirt/R/mlnormal_proc.R                                  |   56 
 sirt-1.15-41/sirt/R/mlnormal_proc_control.R                          |    6 
 sirt-1.15-41/sirt/R/mlnormal_proc_variance_shortcut.R                |   34 
 sirt-1.15-41/sirt/R/mlnormal_proc_variance_shortcut_XY_R.R           |    8 
 sirt-1.15-41/sirt/R/mlnormal_proc_variance_shortcut_XY_Rcpp.R        |   12 
 sirt-1.15-41/sirt/R/mlnormal_proc_variance_shortcut_Z_R.R            |    8 
 sirt-1.15-41/sirt/R/mlnormal_proc_variance_shortcut_Z_Rcpp.R         |   34 
 sirt-1.15-41/sirt/R/mlnormal_process_prior.R                         |   28 
 sirt-1.15-41/sirt/R/mlnormal_sqrt_diag.R                             |    6 
 sirt-1.15-41/sirt/R/mlnormal_update_V_R.R                            |   14 
 sirt-1.15-41/sirt/R/mlnormal_update_V_Rcpp.R                         |   16 
 sirt-1.15-41/sirt/R/mlnormal_update_beta.R                           |   10 
 sirt-1.15-41/sirt/R/mlnormal_update_beta_GLS.R                       |    6 
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 sirt-1.15-41/sirt/R/mlnormal_update_theta_ml.R                       |   40 
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 sirt-1.15-41/sirt/R/modelfit.cor.R                                   |    2 
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 sirt-1.15-41/sirt/R/nedelsky.latresp.R                               |    4 
 sirt-1.15-41/sirt/R/noharm.sirt.R                                    |   15 
 sirt-1.15-41/sirt/R/noharm.sirt.preprocess.R                         |    2 
 sirt-1.15-41/sirt/R/np.dich.R                                        |    2 
 sirt-1.15-41/sirt/R/nr.numdiff.R                                     |    2 
 sirt-1.15-41/sirt/R/package_version_date.R                           |only
 sirt-1.15-41/sirt/R/parmsummary_extend.R                             |   12 
 sirt-1.15-41/sirt/R/pcm.fit.R                                        |    2 
 sirt-1.15-41/sirt/R/plot.amh.R                                       |    4 
 sirt-1.15-41/sirt/R/plot.invariance.alignment.R                      |    2 
 sirt-1.15-41/sirt/R/plot.isop.R                                      |    2 
 sirt-1.15-41/sirt/R/plot.lsem.R                                      |    2 
 sirt-1.15-41/sirt/R/plot.lsem.permutationTest.R                      |    2 
 sirt-1.15-41/sirt/R/plot.mcmc.sirt.R                                 |    4 
 sirt-1.15-41/sirt/R/plot.rasch.mml.R                                 |    2 
 sirt-1.15-41/sirt/R/pmle.R                                           |   36 
 sirt-1.15-41/sirt/R/pmle_data_proc.R                                 |   16 
 sirt-1.15-41/sirt/R/pmle_eval_posterior.R                            |   12 
 sirt-1.15-41/sirt/R/pmle_ic.R                                        |   12 
 sirt-1.15-41/sirt/R/pmle_process_prior.R                             |   24 
 sirt-1.15-41/sirt/R/polychoric2.R                                    |    4 
 sirt-1.15-41/sirt/R/pow.R                                            |    4 
 sirt-1.15-41/sirt/R/print.xxirt.R                                    |    2 
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 sirt-1.15-41/sirt/R/rasch.conquest.R                                 |    4 
 sirt-1.15-41/sirt/R/rasch.copula2_aux.R                              |    4 
 sirt-1.15-41/sirt/R/rasch.copula3.covariance.R                       |    2 
 sirt-1.15-41/sirt/R/rasch.evm.pcm.R                                  |   16 
 sirt-1.15-41/sirt/R/rasch.evm.pcm.methods.R                          |    2 
 sirt-1.15-41/sirt/R/rasch.evm.pcm_aux.R                              |    2 
 sirt-1.15-41/sirt/R/rasch.jml.R                                      |    2 
 sirt-1.15-41/sirt/R/rasch.mirtlc_aux.R                               |    2 
 sirt-1.15-41/sirt/R/rasch.mml.raschtype.R                            |   13 
 sirt-1.15-41/sirt/R/rasch.mml2.missing1.R                            |   10 
 sirt-1.15-41/sirt/R/rasch.pml2.R                                     |    4 
 sirt-1.15-41/sirt/R/rasch.pml2_aux.R                                 |    2 
 sirt-1.15-41/sirt/R/rasch.pml3_aux.R                                 |    2 
 sirt-1.15-41/sirt/R/rasch.va.R                                       |    4 
 sirt-1.15-41/sirt/R/read.fwf2.R                                      |   10 
 sirt-1.15-41/sirt/R/rm.facets_IC.R                                   |    2 
 sirt-1.15-41/sirt/R/rm.facets_PP.R                                   |    2 
 sirt-1.15-41/sirt/R/rm.facets_alg.R                                  |    9 
 sirt-1.15-41/sirt/R/rm.sdt_alg.R                                     |    6 
 sirt-1.15-41/sirt/R/rm.smooth.distribution.R                         |    2 
 sirt-1.15-41/sirt/R/rm_proc.R                                        |    2 
 sirt-1.15-41/sirt/R/sia.sirt.R                                       |    2 
 sirt-1.15-41/sirt/R/sim.rasch.dep.R                                  |    2 
 sirt-1.15-41/sirt/R/sim.raschtype.R                                  |    3 
 sirt-1.15-41/sirt/R/sirtcat.R                                        |    2 
 sirt-1.15-41/sirt/R/smirt.R                                          |    2 
 sirt-1.15-41/sirt/R/smirt_alg_comp.R                                 |    4 
 sirt-1.15-41/sirt/R/smirt_alg_noncomp.R                              |   15 
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 sirt-1.15-41/sirt/R/smirt_postproc.R                                 |    2 
 sirt-1.15-41/sirt/R/smirt_preproc.R                                  |    2 
 sirt-1.15-41/sirt/R/smirt_squeeze.R                                  |   21 
 sirt-1.15-41/sirt/R/soft_thresholding.R                              |    8 
 sirt-1.15-41/sirt/R/starts_cov.R                                     |    8 
 sirt-1.15-41/sirt/R/starts_sim1dim.R                                 |   16 
 sirt-1.15-41/sirt/R/summary.amh.R                                    |    4 
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 sirt-1.15-41/sirt/R/summary.latent.regression.R                      |    2 
 sirt-1.15-41/sirt/R/summary.linking.haberman.R                       |    4 
 sirt-1.15-41/sirt/R/summary.lsem.R                                   |   17 
 sirt-1.15-41/sirt/R/summary.lsem.permutationTest.R                   |   12 
 sirt-1.15-41/sirt/R/summary.mlnormal.R                               |   76 
 sirt-1.15-41/sirt/R/summary.pmle.R                                   |    4 
 sirt-1.15-41/sirt/R/summary.xxirt.R                                  |    2 
 sirt-1.15-41/sirt/R/summary_round_helper.R                           |   18 
 sirt-1.15-41/sirt/R/tam2mirt.R                                       |    2 
 sirt-1.15-41/sirt/R/tam2mirt.aux.R                                   |    2 
 sirt-1.15-41/sirt/R/testlet.yen.q3.R                                 |    4 
 sirt-1.15-41/sirt/R/tetrachoric2.R                                   |   10 
 sirt-1.15-41/sirt/R/tracemat.R                                       |    6 
 sirt-1.15-41/sirt/R/truescore.irt.R                                  |    2 
 sirt-1.15-41/sirt/R/unidim.csn.R                                     |    9 
 sirt-1.15-41/sirt/R/vcov.amh.R                                       |    2 
 sirt-1.15-41/sirt/R/vcov.mlnormal.R                                  |    2 
 sirt-1.15-41/sirt/R/vcov.pmle.R                                      |    2 
 sirt-1.15-41/sirt/R/weighted_colMeans.R                              |    8 
 sirt-1.15-41/sirt/R/weighted_colSums.R                               |    6 
 sirt-1.15-41/sirt/R/weighted_rowMeans.R                              |    8 
 sirt-1.15-41/sirt/R/weighted_rowSums.R                               |    6 
 sirt-1.15-41/sirt/R/weighted_stats_extend_wgt.R                      |   16 
 sirt-1.15-41/sirt/R/write.format2.R                                  |    2 
 sirt-1.15-41/sirt/R/write.fwf2.R                                     |    4 
 sirt-1.15-41/sirt/R/xxirt.R                                          |   47 
 sirt-1.15-41/sirt/R/xxirt_EAP.R                                      |   14 
 sirt-1.15-41/sirt/R/xxirt_IRT.se.R                                   |   12 
 sirt-1.15-41/sirt/R/xxirt_ThetaDistribution_extract_freeParameters.R |    6 
 sirt-1.15-41/sirt/R/xxirt_coef.R                                     |    6 
 sirt-1.15-41/sirt/R/xxirt_compute_itemprobs.R                        |   20 
 sirt-1.15-41/sirt/R/xxirt_compute_likelihood.R                       |   10 
 sirt-1.15-41/sirt/R/xxirt_compute_posterior.R                        |   26 
 sirt-1.15-41/sirt/R/xxirt_compute_priorDistribution.R                |    8 
 sirt-1.15-41/sirt/R/xxirt_createDiscItem.R                           |    8 
 sirt-1.15-41/sirt/R/xxirt_createItemList.R                           |   14 
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 sirt-1.15-41/sirt/R/xxirt_createThetaDistribution.R                  |   10 
 sirt-1.15-41/sirt/R/xxirt_data_proc.R                                |   38 
 sirt-1.15-41/sirt/R/xxirt_hessian.R                                  |   16 
 sirt-1.15-41/sirt/R/xxirt_ic.R                                       |   12 
 sirt-1.15-41/sirt/R/xxirt_modifyParTable.R                           |   26 
 sirt-1.15-41/sirt/R/xxirt_mstep_ThetaParameters.R                    |   32 
 sirt-1.15-41/sirt/R/xxirt_mstep_itemParameters.R                     |   30 
 sirt-1.15-41/sirt/R/xxirt_mstep_itemParameters_evalPrior.R           |   18 
 sirt-1.15-41/sirt/R/xxirt_parTheta_extract_freeParameters.R          |    6 
 sirt-1.15-41/sirt/R/xxirt_partable_extract_freeParameters.R          |   10 
 sirt-1.15-41/sirt/R/xxirt_partable_include_freeParameters.R          |    6 
 sirt-1.15-41/sirt/R/xxirt_postproc_parameters.R                      |   32 
 sirt-1.15-41/sirt/R/xxirt_proc_ParTable.R                            |   52 
 sirt-1.15-41/sirt/R/xxirt_vcov.R                                     |    4 
 sirt-1.15-41/sirt/R/yen.q3.R                                         |    4 
 sirt-1.15-41/sirt/R/zzz.R                                            |   12 
 sirt-1.15-41/sirt/inst/CITATION                                      |   10 
 sirt-1.15-41/sirt/inst/NEWS                                          | 1820 +++++-----
 sirt-1.15-41/sirt/man/IRT.mle.Rd                                     |   22 
 sirt-1.15-41/sirt/man/Q3.Rd                                          |    8 
 sirt-1.15-41/sirt/man/Q3.testlet.Rd                                  |    8 
 sirt-1.15-41/sirt/man/R2conquest.Rd                                  |   24 
 sirt-1.15-41/sirt/man/R2noharm.Rd                                    |   38 
 sirt-1.15-41/sirt/man/amh.Rd                                         |    8 
 sirt-1.15-41/sirt/man/automatic.recode.Rd                            |    4 
 sirt-1.15-41/sirt/man/brm.sim.Rd                                     |   10 
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 sirt-1.15-41/sirt/man/categorize.Rd                                  |    6 
 sirt-1.15-41/sirt/man/class.accuracy.rasch.Rd                        |    2 
 sirt-1.15-41/sirt/man/conf.detect.Rd                                 |   28 
 sirt-1.15-41/sirt/man/data.eid.Rd                                    |    4 
 sirt-1.15-41/sirt/man/data.long.Rd                                   |    8 
 sirt-1.15-41/sirt/man/data.mcdonald.Rd                               |   14 
 sirt-1.15-41/sirt/man/data.read.Rd                                   |   53 
 sirt-1.15-41/sirt/man/data.si.Rd                                     |    2 
 sirt-1.15-41/sirt/man/data.wide2long.Rd                              |    4 
 sirt-1.15-41/sirt/man/dif.logistic.regression.Rd                     |   18 
 sirt-1.15-41/sirt/man/dirichlet.mle.Rd                               |    8 
 sirt-1.15-41/sirt/man/dirichlet.simul.Rd                             |    8 
 sirt-1.15-41/sirt/man/eigenvalues.manymatrices.Rd                    |    2 
 sirt-1.15-41/sirt/man/equating.rasch.Rd                              |    2 
 sirt-1.15-41/sirt/man/equating.rasch.jackknife.Rd                    |    5 
 sirt-1.15-41/sirt/man/f1d.irt.Rd                                     |   10 
 sirt-1.15-41/sirt/man/fit.isop.Rd                                    |    4 
 sirt-1.15-41/sirt/man/fuzcluster.Rd                                  |    6 
 sirt-1.15-41/sirt/man/fuzdiscr.Rd                                    |    8 
 sirt-1.15-41/sirt/man/gom.em.Rd                                      |   20 
 sirt-1.15-41/sirt/man/gom.jml.Rd                                     |    4 
 sirt-1.15-41/sirt/man/greenyang.reliability.Rd                       |    2 
 sirt-1.15-41/sirt/man/invariance.alignment.Rd                        |   42 
 sirt-1.15-41/sirt/man/isop.Rd                                        |    8 
 sirt-1.15-41/sirt/man/isop.scoring.Rd                                |    6 
 sirt-1.15-41/sirt/man/isop.test.Rd                                   |    2 
 sirt-1.15-41/sirt/man/latent.regression.em.raschtype.Rd              |   22 
 sirt-1.15-41/sirt/man/lavaan2mirt.Rd                                 |   24 
 sirt-1.15-41/sirt/man/lc.2raters.Rd                                  |    6 
 sirt-1.15-41/sirt/man/likelihood.adjustment.Rd                       |    4 
 sirt-1.15-41/sirt/man/linking.haberman.Rd                            |   54 
 sirt-1.15-41/sirt/man/linking.robust.Rd                              |    6 
 sirt-1.15-41/sirt/man/loglike_mvnorm.Rd                              |    4 
 sirt-1.15-41/sirt/man/lsdm.Rd                                        |   22 
 sirt-1.15-41/sirt/man/lsem.estimate.Rd                               |   29 
 sirt-1.15-41/sirt/man/marginal.truescore.reliability.Rd              |    6 
 sirt-1.15-41/sirt/man/matrixfunctions.sirt.Rd                        |    2 
 sirt-1.15-41/sirt/man/mcmc.2pno.Rd                                   |    8 
 sirt-1.15-41/sirt/man/mcmc.2pno.ml.Rd                                |   18 
 sirt-1.15-41/sirt/man/mcmc.2pnoh.Rd                                  |    2 
 sirt-1.15-41/sirt/man/mcmc.3pno.testlet.Rd                           |   14 
 sirt-1.15-41/sirt/man/mcmc.list.descriptives.Rd                      |    2 
 sirt-1.15-41/sirt/man/mcmc_Rhat.Rd                                   |    4 
 sirt-1.15-41/sirt/man/mcmc_coef.Rd                                   |    4 
 sirt-1.15-41/sirt/man/mcmclist2coda.Rd                               |    2 
 sirt-1.15-41/sirt/man/md.pattern.sirt.Rd                             |    4 
 sirt-1.15-41/sirt/man/mirt.wrapper.Rd                                |   12 
 sirt-1.15-41/sirt/man/mle.pcm.group.Rd                               |   12 
 sirt-1.15-41/sirt/man/modelfit.sirt.Rd                               |   46 
 sirt-1.15-41/sirt/man/nedelsky.sim.Rd                                |   24 
 sirt-1.15-41/sirt/man/noharm.sirt.Rd                                 |   47 
 sirt-1.15-41/sirt/man/np.dich.Rd                                     |    6 
 sirt-1.15-41/sirt/man/parmsummary_extend.Rd                          |    2 
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 sirt-1.15-41/sirt/src/mle_pcm_group_c.cpp                            |   80 
 sirt-1.15-41/sirt/src/mlnormal_helper_functions.cpp                  |  150 
 sirt-1.15-41/sirt/src/noharm_sirt_auxfunctions.cpp                   |  177 
 sirt-1.15-41/sirt/src/polychoric2_tetrachoric2_rcpp_aux.cpp          |   79 
 sirt-1.15-41/sirt/src/probs_multcat_items_counts_csirt.cpp           |  106 
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 419 files changed, 5090 insertions(+), 5723 deletions(-)

More information about sirt at CRAN
Permanent link

New package kirby21.fmri with initial version 1.5.1
Package: kirby21.fmri
Type: Package
Title: Example Functional Imaging Data from the Multi-Modal MRI Reproducibility Resource
Version: 1.5.1
Date: 2017-02-27
Author: John Muschelli <muschellij2@gmail.com>
Maintainer: John Muschelli <muschellij2@gmail.com>
Description: Functional magnetic resonance imaging ('fMRI') data from the 'Kirby21' reproducibility study <http://dx.doi.org/10.1016/j.neuroimage.2010.11.047>.
License: GPL-2
Imports: kirby21.base (>= 1.5), kirby21.t1
RoxygenNote: 6.0.1
URL: https://www.nitrc.org/projects/multimodal/
NeedsCompilation: no
Packaged: 2017-03-02 15:15:53 UTC; johnmuschelli
Repository: CRAN
Date/Publication: 2017-03-02 17:05:31

More information about kirby21.fmri at CRAN
Permanent link

Package kirby21.base updated to version 1.5.1.1 with previous version 1.5 dated 2017-02-28

Title: Example Data from the Multi-Modal MRI Reproducibility Resource
Description: Multi-modal magnetic resonance imaging ('MRI') data from the 'Kirby21' reproducibility study <https://www.nitrc.org/projects/multimodal/>, including functional and structural imaging.
Author: John Muschelli <muschellij2@gmail.com>
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between kirby21.base versions 1.5 dated 2017-02-28 and 1.5.1.1 dated 2017-03-02

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Package ipft updated to version 0.2.8 with previous version 0.2.2 dated 2017-02-21

Title: Indoor Positioning Fingerprinting Toolset
Description: Algorithms and utility functions for indoor positioning using fingerprinting techniques. These functions are designed for manipulation of RSSI (Received Signal Strength Intensity) data sets, estimation of positions,comparison of the performance of different models, and graphical visualization of data. Machine learning algorithms and methods such as k-nearest neighbors or probabilistic fingerprinting are implemented in this package to perform analysis and estimations over RSSI data sets.
Author: Emilio Sansano
Maintainer: Emilio Sansano <esansano@uji.es>

Diff between ipft versions 0.2.2 dated 2017-02-21 and 0.2.8 dated 2017-03-02

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New package CDVineCopulaConditional with initial version 0.1.0
Package: CDVineCopulaConditional
Type: Package
Version: 0.1.0
Date: 2017-03-01
Title: Sampling from Conditional C- and D-Vine Copulas
Description: Provides tools for sampling from a conditional copula density decomposed via Pair-Copula Constructions as C- or D- vine. Here, the vines which can be used for such sampling are those which sample as first the conditioning variables (when following the sampling algorithms shown in Aas et al. (2009) <DOI:10.1016/j.insmatheco.2007.02.001>). The used sampling algorithm is presented and discussed in Bevacqua et al. (2017) <DOI:10.5194/hess-2016-652>, and it is a modified version of that from Aas et al. (2009) <DOI:10.1016/j.insmatheco.2007.02.001>. A function is available to select the best vine (based on information criteria) among those which allow for such conditional sampling. The package includes a function to compare scatterplot matrices and pair-dependencies of two multivariate datasets.
Authors@R: person("Emanuele", "Bevacqua", role = c("aut", "cre"), email = "emanuele.bevacqua@uni-graz.at")
Author: Emanuele Bevacqua [aut, cre]
Maintainer: Emanuele Bevacqua <emanuele.bevacqua@uni-graz.at>
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: combinat, graphics, stats, VineCopula
RoxygenNote: 5.0.1
Suggests: testthat
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2017-03-02 16:23:57 UTC; emanuele
Repository: CRAN
Date/Publication: 2017-03-02 17:56:57

More information about CDVineCopulaConditional at CRAN
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Package pingr updated to version 1.1.2 with previous version 1.1.0 dated 2014-10-06

Title: Check if a Remote Computer is Up
Description: Check if a remote computer is up. It can either just call the system ping command, or check a specified TCP port.
Author: Gábor Csárdi [aut, cre]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between pingr versions 1.1.0 dated 2014-10-06 and 1.1.2 dated 2017-03-02

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Package mvtnorm updated to version 1.0-6 with previous version 1.0-5 dated 2016-02-02

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates and densities.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb], Martin Maechler [ctb], Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mvtnorm versions 1.0-5 dated 2016-02-02 and 1.0-6 dated 2017-03-02

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Permanent link

Package MVar.pt updated to version 1.9.7 with previous version 1.9.6 dated 2017-02-19

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 1.9.6 dated 2017-02-19 and 1.9.7 dated 2017-03-02

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Package maxstat updated to version 0.7-25 with previous version 0.7-24 dated 2016-04-06

Title: Maximally Selected Rank Statistics
Description: Maximally selected rank statistics with several p-value approximations.
Author: Torsten Hothorn
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between maxstat versions 0.7-24 dated 2016-04-06 and 0.7-25 dated 2017-03-02

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More information about maxstat at CRAN
Permanent link

Package lexRankr updated to version 0.4.0 with previous version 0.3.0 dated 2016-10-25

Title: Extractive Summarization of Text with the LexRank Algorithm
Description: An R implementation of the LexRank algorithm described by G. Erkan and D. R. Radev (2004) <DOI:10.1613/jair.1523>.
Author: Adam Spannbauer <spannbaueradam@gmail.com>
Maintainer: Adam Spannbauer <spannbaueradam@gmail.com>

Diff between lexRankr versions 0.3.0 dated 2016-10-25 and 0.4.0 dated 2017-03-02

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Permanent link

New package kableExtra with initial version 0.1.0
Package: kableExtra
Type: Package
Title: Construct Complex Table with 'Kable' and Pipe Syntax
Version: 0.1.0
Authors@R: c( person('Hao', 'Zhu', email = 'haozhu233@gmail.com', role = c('aut', 'cre')), person('Will', 'Beasley', email = 'wibeasley@hotmail.com', role = 'ctb'), person('Yihui', 'Xie', email = 'xie@yihui.name', role = 'ctb') )
Description: A collection of functions to help build complex HTML or 'LaTeX' tables using 'kable()' from 'knitr' and the piping syntax from 'magrittr'. Function 'kable()' is a light weight table generator coming from 'knitr'. This package simplifies the way to manipulate the HTML or 'LaTeX' codes generated by 'kable()' and allows users to construct complex tables and customize styles using a readable syntax.
License: MIT + file LICENSE
LazyData: TRUE
URL: http://haozhu233.github.io/kableExtra/, https://github.com/haozhu233/kableExtra
BugReports: https://github.com/haozhu233/kableExtra/issues
Depends: R (>= 3.1.2)
Imports: knitr (>= 1.13), magrittr, stringr (>= 1.0), xml2, rvest, rmarkdown (>= 1.3.0)
Suggests: testthat
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-02 13:50:26 UTC; haozhu
Author: Hao Zhu [aut, cre], Will Beasley [ctb], Yihui Xie [ctb]
Maintainer: Hao Zhu <haozhu233@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-02 16:21:21

More information about kableExtra at CRAN
Permanent link

Package googleAuthR updated to version 0.5.0 with previous version 0.4.0 dated 2016-09-04

Title: Easy Authentication with Google OAuth2 API
Description: Create R functions that interact with OAuth2 Google APIs easily, with auto-refresh and Shiny compatibility.
Author: Mark Edmondson [aut, cre], Jennifer Bryan [ctb], Johann deBoer [ctb]
Maintainer: Mark Edmondson <m@sunholo.com>

Diff between googleAuthR versions 0.4.0 dated 2016-09-04 and 0.5.0 dated 2017-03-02

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New package cpt with initial version 0.9
Package: cpt
Title: Classification Permutation Test
Description: Non-parametric test for equality of multivariate distributions. Trains a classifier to classify (multivariate) observations as coming from one of two distributions. If the classifier is able to classify the observations better than would be expected by chance (using permutation inference), then the null hypothesis that the two distributions are equal is rejected.
Version: 0.9
Date: 2017-03-1
Imports: MASS, nnet, randomForest
Author: Johann Gagnon-Bartsch <johanngb@umich.edu>
Maintainer: Johann Gagnon-Bartsch <johanngb@umich.edu>
License: GPL
URL: http://dept.stat.lsa.umich.edu/~johanngb
LazyLoad: yes
NeedsCompilation: no
Packaged: 2017-03-02 13:16:22 UTC; johann
Repository: CRAN
Date/Publication: 2017-03-02 16:14:16

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Permanent link

Package xyloplot updated to version 1.5 with previous version 1.3 dated 2016-06-20

Title: A Method for Creating Xylophone-Like Frequency Density Plots
Description: A method for creating vertical histograms sharing a y-axis using base graphics.
Author: Daniel Greene
Maintainer: Daniel Greene <dg333@cam.ac.uk>

Diff between xyloplot versions 1.3 dated 2016-06-20 and 1.5 dated 2017-03-02

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New package WPKDE with initial version 0.1
Package: WPKDE
Type: Package
Title: Weighted Piecewise Kernel Density Estimation
Version: 0.1
Date: 2017-02-04
Author: Kunyu Ye, Siyao Wang, Xudong Liu, Tianwei Yu
Maintainer: Kunyu Ye <kunyuye@163.com>
Suggests: mvtnorm(>= 1.0-0)
Description: Weighted Piecewise Kernel Density Estimation for large data.
License: GPL
LazyData: TRUE
NeedsCompilation: yes
Packaged: 2017-03-02 08:39:52 UTC; asus
Repository: CRAN
Date/Publication: 2017-03-02 14:29:46

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Package WhopGenome updated to version 0.9.6 with previous version 0.9.4 dated 2016-07-07

Title: High-Speed Processing of VCF, FASTA and Alignment Data
Description: Provides very fast access to whole genome, population scale variation data from VCF files and sequence data from FASTA-formatted files. It also reads in alignments from FASTA, Phylip, MAF and other file formats. Provides easy-to-use interfaces to genome annotation from UCSC and Bioconductor and gene ontology data from AmiGO and is capable to read, modify and write PLINK .PED-format pedigree files.
Author: Ulrich Wittelsbuerger [aut, cre], Heng Li [ctb], Bob Handsaker [ctb]
Maintainer: Ulrich Wittelsbuerger <ulrich.wittelsbuerger@uni-duesseldorf.de>

Diff between WhopGenome versions 0.9.4 dated 2016-07-07 and 0.9.6 dated 2017-03-02

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Permanent link

Package TAM updated to version 1.99999-31 with previous version 1.99993-0 dated 2017-02-06

Title: Test Analysis Modules
Description: Includes marginal maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent Class Models) and joint maximum likelihood estimation for models from the Rasch family. Latent regression models and plausible value imputation are also supported.
Author: Thomas Kiefer [aut], Alexander Robitzsch [aut, cre], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between TAM versions 1.99993-0 dated 2017-02-06 and 1.99999-31 dated 2017-03-02

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Package pinbasic updated to version 1.1.0 with previous version 1.0.1 dated 2017-01-11

Title: Fast and Stable Estimation of the Probability of Informed Trading (PIN)
Description: Utilities for fast and stable estimation of the probability of informed trading (PIN) in the model introduced by Easley et al. (2002) <DOI:10.1111/1540-6261.00493> are implemented. Since the basic model developed by Easley et al. (1996) <DOI:10.1111/j.1540-6261.1996.tb04074.x> is nested in the former due to equating the intensity of uninformed buys and sells, functions can also be applied to this simpler model structure, if needed. State-of-the-art factorization of the model likelihood function as well as most recent algorithms for generating initial values for optimization routines are implemented. In total, two likelihood factorizations and three methodologies for starting values are included. Furthermore, functions for simulating datasets of daily aggregated buys and sells, calculating confidence intervals for the probability of informed trading and posterior probabilities of trading days' conditions are available.
Author: Andreas Recktenwald [aut, cre]
Maintainer: Andreas Recktenwald <a.recktenwald@mx.uni-saarland.de>

Diff between pinbasic versions 1.0.1 dated 2017-01-11 and 1.1.0 dated 2017-03-02

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Package liquidSVM updated to version 1.0.1 with previous version 1.0.0 dated 2017-02-24

Title: A Fast and Versatile SVM Package
Description: Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non- parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, inclusion of a variety of different classification and regression scenarios, and full flexibility for experts.
Author: Ingo Steinwart, Philipp Thomann
Maintainer: Philipp Thomann <philipp.thomann@mathematik.uni-stuttgart.de>

Diff between liquidSVM versions 1.0.0 dated 2017-02-24 and 1.0.1 dated 2017-03-02

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Package koRpus updated to version 0.10-1 with previous version 0.06-5 dated 2016-06-06

Title: An R Package for Text Analysis
Description: A set of tools to analyze texts. Includes, amongst others, functions for automatic language detection, hyphenation, several indices of lexical diversity (e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch, SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also provided, to enable frequency analyses (supports Celex and Leipzig Corpora Collection file formats) and measures like tf-idf. Support for additional languages can be added on-the-fly or by plugin packages. Note: For full functionality a local installation of TreeTagger is recommended. 'koRpus' also includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs for its basic features. The respective R package 'rkward' cannot be installed directly from a repository, as it is a part of RKWard. To make full use of this feature, please install RKWard from <https://rkward.kde.org> (plugins are detected automatically). Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, request features, or discuss the development of the package, please subscribe to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).
Author: m.eik michalke [aut, cre], Earl Brown [ctb], Alberto Mirisola [ctb], Alexandre Brulet [ctb], Laura Hauser [ctb]
Maintainer: m.eik michalke <meik.michalke@hhu.de>

Diff between koRpus versions 0.06-5 dated 2016-06-06 and 0.10-1 dated 2017-03-02

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 koRpus-0.10-1/koRpus/R/set.kRp.env.R                                                      |   10 
 koRpus-0.10-1/koRpus/R/set.lang.support.R                                                 |   11 
 koRpus-0.10-1/koRpus/R/tokenize.R                                                         |    1 
 koRpus-0.10-1/koRpus/R/treetag.R                                                          |  136 +-
 koRpus-0.10-1/koRpus/README.md                                                            |   27 
 koRpus-0.10-1/koRpus/inst/CITATION                                                        |   12 
 koRpus-0.10-1/koRpus/inst/NEWS.Rd                                                         |  143 ++
 koRpus-0.10-1/koRpus/inst/doc/koRpus_vignette.R                                           |only
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 koRpus-0.10-1/koRpus/inst/doc/koRpus_vignette.pdf                                         |binary
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 koRpus-0.10-1/koRpus/inst/rkward/plugins/Hyphenation.js                                   |   13 
 koRpus-0.10-1/koRpus/inst/rkward/plugins/Hyphenation.xml                                  |   12 
 koRpus-0.10-1/koRpus/inst/rkward/plugins/LexicalDiversity.js                              |   14 
 koRpus-0.10-1/koRpus/inst/rkward/plugins/LexicalDiversity.xml                             |   10 
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 koRpus-0.10-1/koRpus/inst/rkward/plugins/Readability.xml                                  |   13 
 koRpus-0.10-1/koRpus/inst/rkward/plugins/TokenizingPOStagging.js                          |   33 
 koRpus-0.10-1/koRpus/inst/rkward/plugins/TokenizingPOStagging.xml                         |   16 
 koRpus-0.10-1/koRpus/inst/rkward/po/de/LC_MESSAGES/rkward__TokenizingPOStagging_rkward.mo |binary
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 koRpus-0.10-1/koRpus/inst/rkward/rkwarddev_koRpus_plugin_script.R                         |   39 
 koRpus-0.10-1/koRpus/inst/shiny/demo/server.R                                             |   14 
 koRpus-0.10-1/koRpus/inst/shiny/demo/ui.R                                                 |  240 ++--
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 koRpus-0.10-1/koRpus/inst/templates/package_koRpus.lang.xx.R                              |   11 
 koRpus-0.10-1/koRpus/man/ARI.Rd                                                           |    1 
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 koRpus-0.10-1/koRpus/man/HDD.Rd                                                           |    1 
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 koRpus-0.10-1/koRpus/man/coleman.Rd                                                       |    1 
 koRpus-0.10-1/koRpus/man/coleman.liau.Rd                                                  |    1 
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 koRpus-0.10-1/koRpus/man/flesch.Rd                                                        |    4 
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 koRpus-0.10-1/koRpus/man/fucks.Rd                                                         |    1 
 koRpus-0.10-1/koRpus/man/get.kRp.env.Rd                                                   |    1 
 koRpus-0.10-1/koRpus/man/guess.lang.Rd                                                    |    1 
 koRpus-0.10-1/koRpus/man/harris.jacobson.Rd                                               |    1 
 koRpus-0.10-1/koRpus/man/hyph.XX.Rd                                                       |    1 
 koRpus-0.10-1/koRpus/man/hyphen-methods.Rd                                                |   10 
 koRpus-0.10-1/koRpus/man/jumbleWords.Rd                                                   |    1 
 koRpus-0.10-1/koRpus/man/kRp.POS.tags.Rd                                                  |    9 
 koRpus-0.10-1/koRpus/man/kRp.TTR-class.Rd                                                 |   10 
 koRpus-0.10-1/koRpus/man/kRp.analysis-class.Rd                                            |    4 
 koRpus-0.10-1/koRpus/man/kRp.cluster.Rd                                                   |    1 
 koRpus-0.10-1/koRpus/man/kRp.corp.freq-class.Rd                                           |   25 
 koRpus-0.10-1/koRpus/man/kRp.filter.wclass.Rd                                             |    1 
 koRpus-0.10-1/koRpus/man/kRp.hyph.pat-class.Rd                                            |    4 
 koRpus-0.10-1/koRpus/man/kRp.hyphen-class.Rd                                              |    4 
 koRpus-0.10-1/koRpus/man/kRp.lang-class.Rd                                                |    4 
 koRpus-0.10-1/koRpus/man/kRp.readability-class.Rd                                         |    4 
 koRpus-0.10-1/koRpus/man/kRp.tagged-class.Rd                                              |    4 
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 koRpus-0.10-1/koRpus/man/kRp.txt.freq-class.Rd                                            |    4 
 koRpus-0.10-1/koRpus/man/kRp.txt.trans-class.Rd                                           |    4 
 koRpus-0.10-1/koRpus/man/koRpus-package.Rd                                                |   49 
 koRpus-0.10-1/koRpus/man/lex.div-methods.Rd                                               |   47 
 koRpus-0.10-1/koRpus/man/lex.div.num.Rd                                                   |    1 
 koRpus-0.10-1/koRpus/man/linsear.write.Rd                                                 |    1 
 koRpus-0.10-1/koRpus/man/maas.Rd                                                          |    1 
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 koRpus-0.10-1/koRpus/man/nWS.Rd                                                           |    3 
 koRpus-0.10-1/koRpus/man/plot-methods.Rd                                                  |    3 
 koRpus-0.10-1/koRpus/man/query-methods.Rd                                                 |    4 
 koRpus-0.10-1/koRpus/man/read.BAWL.Rd                                                     |    1 
 koRpus-0.10-1/koRpus/man/read.corp.LCC.Rd                                                 |   15 
 koRpus-0.10-1/koRpus/man/read.corp.celex.Rd                                               |    1 
 koRpus-0.10-1/koRpus/man/read.corp.custom-methods.Rd                                      |    5 
 koRpus-0.10-1/koRpus/man/read.hyph.pat.Rd                                                 |    1 
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 koRpus-0.10-1/koRpus/man/set.kRp.env.Rd                                                   |    8 
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 koRpus-0.10-1/koRpus/man/show-methods.Rd                                                  |   35 
 koRpus-0.10-1/koRpus/man/spache.Rd                                                        |    1 
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 koRpus-0.10-1/koRpus/man/tokenize.Rd                                                      |    1 
 koRpus-0.10-1/koRpus/man/traenkle.bailer.Rd                                               |    1 
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 210 files changed, 2840 insertions(+), 2307 deletions(-)

More information about koRpus at CRAN
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Package icesAdvice updated to version 1.3-0 with previous version 1.2-0 dated 2017-02-10

Title: Functions Related to ICES Advice
Description: Functions that are related to the ICES advisory process.
Author: Arni Magnusson [aut, cre], Anne Cooper [aut], Colin Millar [ctb]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>

Diff between icesAdvice versions 1.2-0 dated 2017-02-10 and 1.3-0 dated 2017-03-02

 DESCRIPTION               |   14 +++++++-------
 MD5                       |   32 +++++++++++++++++---------------
 NAMESPACE                 |    1 +
 NEWS                      |   12 +++++++++++-
 R/Bpa.R                   |   12 ++++++------
 R/DLS3.2.R                |   40 ++++++++++++++++++++++++++--------------
 R/Fpa.R                   |   12 ++++++------
 R/icesAdvice-package.R    |    8 ++++----
 R/icesRound.R             |only
 R/sigmaCI.R               |    2 +-
 R/sigmaPA.R               |    2 +-
 man/Bpa.Rd                |   16 ++++++++--------
 man/DLS3.2.Rd             |   43 ++++++++++++++++++++++++++-----------------
 man/Fpa.Rd                |   16 ++++++++--------
 man/icesAdvice-package.Rd |   17 ++++++++---------
 man/icesRound.Rd          |only
 man/sigmaCI.Rd            |    7 +++----
 man/sigmaPA.Rd            |    7 +++----
 18 files changed, 136 insertions(+), 105 deletions(-)

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Permanent link

New package cropdatape with initial version 1.0.0
Package: cropdatape
Title: Open Data of Agricultural Production of Crops of Peru
Version: 1.0.0
Authors@R: c( person("Omar", "Benites-Alfaro", email = "obacc07@gmail.com", role = c("aut", "cre")), person("Pablo", "Gutierrez-Vilchez", , "pgutierrez@lamolina.edu.pe", "aut"), person("Jossyn", "Lockuan-Cotrina", , "20120056@lamolina.edu.pe", "aut"), person("Giorgio", "Cruz-Fajardo", , "20120024@lamolina.edu.pe", "aut"), person("Grace", "Guevara-Diaz", , "20140052@lamolina.edu.pe", "aut"), person("Charlie", "Mendez-Morales", , "20140072@lamolina.edu.pe", "aut"), person("Liliana", "Aragon-Caballero", , "lili@lamolina.edu.pe", "ctb"), person("Raul", "Blas-Sevillano", , "rblas@lamolina.edu.pe", "ctb"), person("Agronomy Faculty, National Agrarian University La Molina (UNALM)", role = "cph", comment = "Copyright holder of all R code"), person("Agriculture Ministry of Peru (MINAGRI)", role = "cph", comment = "Data source come from MINAGRI") )
URL: https://github.com/omarbenites/cropdatape, http://siea.minagri.gob.pe/siea/?q=publicaciones/anuarios-estadisticos
BugReports: https://github.com/omarbenites/cropdatape/issues
Description: Provides peruvian agricultural production data from the Agriculture Minestry of Peru (MINAGRI). The first version includes 6 crops: rice, quinoa, potato, sweet potato, tomato and wheat; all of them across 24 departments. Initially, in excel files which has been transformed and assembled using tidy data principles, i.e. each variable is in a column, each observation is a row and each value is in a cell. The variables variables are sowing and harvest area per crop, yield, production and price per plot, every one year, from 2004 to 2014.
Depends: R (>= 3.3.1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-03-02 11:23:04 UTC; omar_
Author: Omar Benites-Alfaro [aut, cre], Pablo Gutierrez-Vilchez [aut], Jossyn Lockuan-Cotrina [aut], Giorgio Cruz-Fajardo [aut], Grace Guevara-Diaz [aut], Charlie Mendez-Morales [aut], Liliana Aragon-Caballero [ctb], Raul Blas-Sevillano [ctb], Agronomy Faculty, National Agrarian University La Molina (UNALM) [cph] (Copyright holder of all R code), Agriculture Ministry of Peru (MINAGRI) [cph] (Data source come from MINAGRI)
Maintainer: Omar Benites-Alfaro <obacc07@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-02 14:29:53

More information about cropdatape at CRAN
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New package Brq with initial version 2.0
Package: Brq
Type: Package
Title: Bayesian Analysis of Quantile Regression Models
Version: 2.0
Date: 2017-02-28
Author: Rahim Alhamzawi
Maintainer: Rahim Alhamzawi (University of Al-Qadisiyah) <rahim.alhamzawi@qu.edu.iq>
Description: Bayesian estimation and variable selection for quantile regression models.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-03-02 09:16:46 UTC; Rahim
Repository: CRAN
Date/Publication: 2017-03-02 14:33:02

More information about Brq at CRAN
Permanent link

Package BIFIEsurvey updated to version 1.13-24 with previous version 1.12-0 dated 2017-01-16

Title: Tools for Survey Statistics in Educational Assessment
Description: Contains tools for survey statistics (especially in educational assessment) for datasets with replication designs (jackknife, bootstrap, replicate weights). Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included. Statistical inference can be conducted for multiply imputed datasets and nested multiply imputed datasets. This package is developed by BIFIE (Federal Institute for Educational Research, Innovation and Development of the Austrian School System; Salzburg, Austria).
Author: BIFIE
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between BIFIEsurvey versions 1.12-0 dated 2017-01-16 and 1.13-24 dated 2017-03-02

 DESCRIPTION                        |    8 
 MD5                                |  115 +--
 R/BIFIE.BIFIEdata2datalist.R       |    4 
 R/BIFIE.bifiedata2bifiecdata.R     |   11 
 R/BIFIE.by.R                       |    4 
 R/BIFIE.correl.R                   |    4 
 R/BIFIE.crosstab.R                 |    4 
 R/BIFIE.data.boot.R                |    2 
 R/BIFIE.data.jack.R                |   16 
 R/BIFIE.data.transform.R           |   25 
 R/BIFIE.derivedParameters.R        |    9 
 R/BIFIE.ecdf.R                     |    9 
 R/BIFIE.freq.R                     |    4 
 R/BIFIE.hist.R                     |   10 
 R/BIFIE.linreg.R                   |    5 
 R/BIFIE.logistreg.R                |   14 
 R/BIFIE.pathmodel.R                |   12 
 R/BIFIE.twolevelreg.R              |    5 
 R/BIFIE.univar.R                   |   10 
 R/BIFIE.univar.test.R              |    6 
 R/BIFIE.waldtest.R                 |   17 
 R/BIFIE_NMI_inference_parameters.R |   13 
 R/BIFIE_by_helper_pureR.R          |   10 
 R/RcppExports.R                    |only
 R/bifietable.R                     |    5 
 R/load.BIFIEdata.files.R           |   53 -
 R/rubin_calc_df.R                  |    4 
 R/vcov.BIFIE.survey.R              |   33 
 inst/NEWS                          |  653 +++++++++----------
 man/BIFIE.BIFIEdata2BIFIEcdata.Rd  |   11 
 man/BIFIE.by.Rd                    |   24 
 man/BIFIE.correl.Rd                |    6 
 man/BIFIE.crosstab.Rd              |    5 
 man/BIFIE.data.Rd                  |   17 
 man/BIFIE.data.boot.Rd             |    4 
 man/BIFIE.data.jack.Rd             |   32 
 man/BIFIE.data.select.Rd           |    8 
 man/BIFIE.data.transform.Rd        |   99 +-
 man/BIFIE.derivedParameters.Rd     |    7 
 man/BIFIE.ecdf.Rd                  |    6 
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 man/BIFIE.hist.Rd                  |    9 
 man/BIFIE.linreg.Rd                |   36 -
 man/BIFIE.logistreg.Rd             |   24 
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 man/BIFIE.univar.Rd                |   14 
 man/BIFIE.univar.test.Rd           |   24 
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 man/bifietable.Rd                  |    2 
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 src/RcppExports.cpp                |only
 src/init.c                         |only
 src/jack_dataprep.cpp              |  313 ++-------
 src/univar.cpp                     | 1242 +++++++++----------------------------
 src/univar_helpers.h               |  472 ++++++--------
 60 files changed, 1381 insertions(+), 2223 deletions(-)

More information about BIFIEsurvey at CRAN
Permanent link

Package arc updated to version 1.1 with previous version 1.0 dated 2016-09-07

Title: Association Rule Classification
Description: Implements the Classification-based on Association Rules (CBA) algorithm for association rule classification (ARC). The package also contains several convenience methods that allow to automatically set CBA parameters (minimum confidence, minimum support) and it also natively handles numeric attributes by integrating a pre-discretization step. The rule generation phase is handled by the 'arules' package.
Author: Tomas Kliegr [aut, cre]
Maintainer: Tomas Kliegr <kliegr@gmail.com>

Diff between arc versions 1.0 dated 2016-09-07 and 1.1 dated 2017-03-02

 arc-1.0/arc/README.md                     |only
 arc-1.0/arc/man/RuleModel-class.Rd        |only
 arc-1.0/arc/man/predict.RuleModel.Rd      |only
 arc-1.0/arc/man/rulemodelAccuracy.Rd      |only
 arc-1.1/arc/DESCRIPTION                   |   14 +--
 arc-1.1/arc/MD5                           |   44 ++++-----
 arc-1.1/arc/NAMESPACE                     |    7 -
 arc-1.1/arc/R/cba.R                       |  133 +++++++++++++++++++-----------
 arc-1.1/arc/R/m1prune.R                   |   29 ++++--
 arc-1.1/arc/R/mdlp2.R                     |   27 +++---
 arc-1.1/arc/R/toprules.R                  |   46 +++++++---
 arc-1.1/arc/man/CBARuleModel-class.Rd     |only
 arc-1.1/arc/man/CBARuleModelAccuracy.Rd   |only
 arc-1.1/arc/man/applyCut.Rd               |    3 
 arc-1.1/arc/man/applyCuts.Rd              |    3 
 arc-1.1/arc/man/cba.Rd                    |    9 --
 arc-1.1/arc/man/cbaCSV.Rd                 |    7 -
 arc-1.1/arc/man/cbaIris.Rd                |    1 
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 arc-1.1/arc/man/discrNumeric.Rd           |    1 
 arc-1.1/arc/man/discretizeUnsupervised.Rd |    7 -
 arc-1.1/arc/man/getAppearance.Rd          |    7 -
 arc-1.1/arc/man/mdlp2.Rd                  |    1 
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 arc-1.1/arc/man/prune.Rd                  |    1 
 arc-1.1/arc/man/topRules.Rd               |    3 
 arc-1.1/arc/tests/testthat/testiris.R     |    2 
 27 files changed, 210 insertions(+), 135 deletions(-)

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Package ZeligChoice updated to version 0.9-4 with previous version 0.9-3 dated 2017-02-06

Title: Zelig Choice Models
Description: Add-on package for Zelig 5. Enables the use of a variety of logit and probit regressions.
Author: Christine. Choirat [aut], Christopher Gandrud [aut, cre], James Honaker [aut], Kosuke Imai [aut], Gary King [aut], Olivia Lau [aut]
Maintainer: Christopher Gandrud <zelig.zee@gmail.com>

Diff between ZeligChoice versions 0.9-3 dated 2017-02-06 and 0.9-4 dated 2017-03-02

 ZeligChoice-0.9-3/ZeligChoice/NEWS                         |only
 ZeligChoice-0.9-4/ZeligChoice/DESCRIPTION                  |   12 +++---
 ZeligChoice-0.9-4/ZeligChoice/MD5                          |    8 ++--
 ZeligChoice-0.9-4/ZeligChoice/NEWS.md                      |only
 ZeligChoice-0.9-4/ZeligChoice/R/model-obinchoice.R         |   13 +++----
 ZeligChoice-0.9-4/ZeligChoice/tests/testthat/test-ologit.R |   23 +++++++++++--
 6 files changed, 37 insertions(+), 19 deletions(-)

More information about ZeligChoice at CRAN
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Package swirl updated to version 2.4.3 with previous version 2.4.2 dated 2016-06-23

Title: Learn R, in R
Description: Use the R console as an interactive learning environment. Users receive immediate feedback as they are guided through self-paced lessons in data science and R programming.
Author: Sean Kross [aut, cre], Nick Carchedi [aut], Bill Bauer [aut], Gina Grdina [aut], Filip Schouwenaars [ctb], Wush Wu [ctb]
Maintainer: Sean Kross <sean@seankross.com>

Diff between swirl versions 2.4.2 dated 2016-06-23 and 2.4.3 dated 2017-03-02

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Package STPGA updated to version 4.0 with previous version 3.0 dated 2016-08-09

Title: Selection of Training Populations by Genetic Algorithm
Description: To be utilized to select a test data calibrated training population in high dimensional prediction problems and assumes that the explanatory variables are observed for all of the individuals. Once a "good" training set is identified, the response variable can be obtained only for this set to build a model for predicting the response in the test set. The algorithms in the package can be tweaked to solve some other subset selection problems.
Author: Deniz Akdemir
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>

Diff between STPGA versions 3.0 dated 2016-08-09 and 4.0 dated 2017-03-02

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Package SpatialVx updated to version 0.6-1 with previous version 0.6 dated 2016-12-29

Title: Spatial Forecast Verification
Description: Spatial forecast verification arose from verifying high-resolution forecasts, where coarser-resolution models generally are favored even when a human forecaster finds the higher-resolution model to be considerably better. Most newly proposed methods, which largely come from image analysis, computer vision, and similar, are available, with more on the way.
Author: Eric Gilleland <EricG@ucar.edu>
Maintainer: Eric Gilleland <EricG@ucar.edu>

Diff between SpatialVx versions 0.6 dated 2016-12-29 and 0.6-1 dated 2017-03-02

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Package sommer updated to version 2.6 with previous version 2.5 dated 2017-01-03

Title: Solving Mixed Model Equations in R
Description: Multivariate mixed model solver for multiple random effects allowing the specification of variance covariance structures. ML/REML estimates are obtained using the Newton-Raphson (NR), Average Information (AI), Expectation-Maximization (EM), or Efficient Mixed Model Association (EMMA) algorithms. Designed for genomic prediction and genome wide association studies (GWAS) to include additive, dominance and epistatic relationship structures or other covariance structures in R, but also functional as a regular mixed model program. Multivariate models (multiple responses) can be fitted currently with NR, AI and EMMA algorithms allowing multiple random effects as well. Correlated residuals are no longer Covariance structures for the residual component are no longer supported.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between sommer versions 2.5 dated 2017-01-03 and 2.6 dated 2017-03-02

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Package sand updated to version 1.0.3 with previous version 1.0.2 dated 2014-04-24

Title: Statistical Analysis of Network Data with R
Description: Data sets for the book 'Statistical Analysis of Network Data with R'.
Author: Eric D Kolaczyk, Gábor Csárdi
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between sand versions 1.0.2 dated 2014-04-24 and 1.0.3 dated 2017-03-02

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 3 files changed, 12 insertions(+), 8 deletions(-)

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New package RInno with initial version 0.0.1
Package: RInno
Type: Package
Title: A Local Deployment Framework for Shiny Apps
Version: 0.0.1
Authors@R: c( person("Jon", "Hill", role = c("aut", "cre", "cph"), email = "jon.mark.hill@gmail.com"), person("W. Lee", "Pang", role = c("aut", "cph"), comment = "DesktopDeployR project at https://github.com/wleepang/DesktopDeployR") )
Maintainer: Jon Hill <jon.mark.hill@gmail.com>
URL: www.ficonsulting.com
BugReports: https://github.com/ficonsulting/RInno/issues
Description: Deploys local shiny apps using Inno Setup, an open source software that builds installers for Windows programs <http://www.jrsoftware.org/ishelp/>.
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
Imports: curl, httr, jsonlite, stringr
Suggests: installr, knitr, magrittr, rmarkdown, shiny, stringi, covr, testthat
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-01 19:16:53 UTC; jhill
Author: Jon Hill [aut, cre, cph], W. Lee Pang [aut, cph] (DesktopDeployR project at https://github.com/wleepang/DesktopDeployR)
Repository: CRAN
Date/Publication: 2017-03-02 08:09:17

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Package msgtools updated to version 0.2.7 with previous version 0.2.6 dated 2017-02-28

Title: Tools for Developing Diagnostic Messages
Description: A number of utilities for developing and maintaining error, warning, and other messages in R packages, including checking for consistency across messages, spell-checking messages, and building message translations into various languages for purposes of localization.
Author: Thomas J. Leeper [aut, cre]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

Diff between msgtools versions 0.2.6 dated 2017-02-28 and 0.2.7 dated 2017-03-02

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New package kirby21.t1 with initial version 1.5.1
Package: kirby21.t1
Type: Package
Title: Example T1 Structural Data from the Multi-Modal MRI Reproducibility Resource
Version: 1.5.1
Date: 2017-02-27
Author: John Muschelli <muschellij2@gmail.com>
Maintainer: John Muschelli <muschellij2@gmail.com>
Description: Structural T1 magnetic resonance imaging ('MRI') data from the 'Kirby21' reproducibility study <http://dx.doi.org/10.1016/j.neuroimage.2010.11.047>.
License: GPL-2
Imports: kirby21.base (>= 1.5)
RoxygenNote: 6.0.1
URL: https://www.nitrc.org/projects/multimodal/
NeedsCompilation: no
Packaged: 2017-03-01 15:32:20 UTC; johnmuschelli
Repository: CRAN
Date/Publication: 2017-03-02 08:09:34

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Package keypress updated to version 1.1.1 with previous version 1.0.0 dated 2015-06-06

Title: Wait for a Key Press in a Terminal
Description: Wait for a single key press at the 'R' prompt. This works in terminals, but does not currently work in the 'Windows' 'GUI', the 'OS X' 'GUI' ('R.app'), in 'Emacs' 'ESS', in an 'Emacs' shell buffer or in 'R Studio'. In these cases 'keypress' stops with an error message.
Author: Gábor Csárdi [aut, cre], Jon Griffiths [aut]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between keypress versions 1.0.0 dated 2015-06-06 and 1.1.1 dated 2017-03-02

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Package isa2 updated to version 0.3.5 with previous version 0.3.4 dated 2015-04-08

Title: The Iterative Signature Algorithm
Description: The ISA is a biclustering algorithm that finds modules in an input matrix. A module or bicluster is a block of the reordered input matrix.
Author: Gabor Csardi <csardi.gabor@gmail.com>
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between isa2 versions 0.3.4 dated 2015-04-08 and 0.3.5 dated 2017-03-02

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Package fitplc updated to version 1.1-7 with previous version 1.1-3 dated 2017-01-12

Title: Fit Hydraulic Vulnerability Curves
Description: Fits Weibull or sigmoidal models to percent loss conductivity (plc) curves as a function of plant water potential, computes confidence intervals of parameter estimates and predictions with bootstrap or parametric methods, and provides convenient plotting methods.
Author: Remko Duursma
Maintainer: Remko Duursma <remkoduursma@gmail.com>

Diff between fitplc versions 1.1-3 dated 2017-01-12 and 1.1-7 dated 2017-03-02

 DESCRIPTION        |    9 ++++---
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Package erp.easy updated to version 1.1.0 with previous version 1.0.0 dated 2016-01-29

Title: Event-Related Potential (ERP) Data Exploration Made Easy
Description: A set of user-friendly functions to aid in organizing, plotting and analyzing event-related potential (ERP) data. Provides an easy-to-learn method to explore ERP data. Should be useful to those without a background in computer programming, and to those who are new to ERPs (or new to the more advanced ERP software available). Emphasis has been placed on highly automated processes using functions with as few arguments as possible. Expects processed (cleaned) data.
Author: Travis Moore [aut, cre]
Maintainer: Travis Moore <travis.m.moore@vanderbilt.edu>

Diff between erp.easy versions 1.0.0 dated 2016-01-29 and 1.1.0 dated 2017-03-02

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New package DSAIDE with initial version 0.4.0
Package: DSAIDE
Type: Package
Title: Dynamical Systems Approach to Infectious Disease Epidemiology
Description: A collection of Shiny apps that allow for the simulation and exploration of various infectious disease transmission dynamics scenarios. The purpose of the package is to help individuals learn about infectious disease epidemiology from a dynamical systems perspective. All apps include explanations of the underlying models and instructions on what to do with the models.
Version: 0.4.0
Date: 2017-03-01
Authors@R: c( person("Andreas", "Handel", email = "ahandel@uga.edu", role = c("aut", "cre")), person("Sina", "Solaimanpour", role = "ctb") )
Maintainer: Andreas Handel <ahandel@uga.edu>
License: GPL-3
LazyData: TRUE
Imports: deSolve (>= 1.13), knitr (>= 1.15), adaptivetau (>= 2.2), utils
Depends: shiny (>= 1.0)
Suggests: rmarkdown
RoxygenNote: 6.0.1
VignetteBuilder: knitr
URL: https://github.com/ahgroup/DSAIDE
BugReports: https://github.com/ahgroup/DSAIDE/issues
NeedsCompilation: no
Packaged: 2017-03-01 23:37:37 UTC; andreas
Author: Andreas Handel [aut, cre], Sina Solaimanpour [ctb]
Repository: CRAN
Date/Publication: 2017-03-02 08:09:13

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New package CompetingRisk with initial version 1.0
Package: CompetingRisk
Type: Package
Title: The Semi-Parametric Cumulative Incidence Function
Version: 1.0
Date: 2017-02-25
Author: Jiayi Hou, Ronghui Xu
Maintainer: Jiayi Hou <jhou12@icloud.com>
Description: Computing the point estimator and pointwise confidence interval of the cumulative incidence function from the cause-specific hazards model.
Depends: survival, MASS, wesanderson, reshape2, stats, graphics, methods, Matrix
License: GPL-3
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-02 03:49:43 UTC; jiayihou
Repository: CRAN
Date/Publication: 2017-03-02 08:09:10

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Package after (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:

2016-07-10 1.0.0

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Package notifier (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:

2017-02-01 1.0.0

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