Wed, 23 Mar 2016

Package WrightMap updated to version 1.2.1 with previous version 1.2 dated 2016-03-18

Title: IRT Item-Person Map with 'ConQuest' Integration
Description: A powerful yet simple graphical tool available in the field of psychometrics is the Wright Map (also known as item maps or item-person maps), which presents the location of both respondents and items on the same scale. Wright Maps are commonly used to present the results of dichotomous or polytomous item response models. The 'WrightMap' package provides functions to create these plots from item parameters and person estimates stored as R objects. Although the package can be used in conjunction with any software used to estimate the IRT model (e.g. 'TAM', 'mirt', 'eRm' or 'IRToys' in 'R', or 'Stata', 'Mplus', etc.), 'WrightMap' features special integration with 'ConQuest' to facilitate reading and plotting its output directly.The 'wrightMap' function creates Wright Maps based on person estimates and item parameters produced by an item response analysis. The 'CQmodel' function reads output files created using 'ConQuest' software and creates a set of data frames for easy data manipulation, bundled in a 'CQmodel' object. The 'wrightMap' function can take a 'CQmodel' object as input or it can be used to create Wright Maps directly from data frames of person and item parameters.
Author: David Torres Irribarra & Rebecca Freund
Maintainer: David Torres Irribarra <dti@berkeley.edu>

Diff between WrightMap versions 1.2 dated 2016-03-18 and 1.2.1 dated 2016-03-23

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Package VCA updated to version 1.3 with previous version 1.2.1 dated 2015-11-24

Title: Variance Component Analysis
Description: ANOVA-type estimation (prediction) of random effects in linear mixed models is implemented, following Searle et al. (1991, ANOVA for unbalanced data). For better performance the SWEEP-Operator is implemented for generating the ANOVA Type-1 error sum of squares. Restricted Maximum Likelihood (REML) estimation is also available making use of the 'lme4' package. The primary objective of this package is to perform Variance Component Analyses (VCA). This is a special type of analysis frequently used in verifying the precision performance of diagnostics. The Satterthwaite approximation of the total degrees of freedom and for individual variance components is implemented for models fitted by ANOVA as well as for models fitted by REML. These are used in the Chi-Squared tests against a claimed value, and in the respective confidence intervals. Satterthwaite's approximation of denominator degrees of freedom in t-/F-tests of fixed effects are also available. For models fitted by (REML) the variance-covariance matrix of the variance components is approximated by the method pointed out in Giesbrecht & Burns (1985), which is required for applying the Satterthwaite approximation of the degrees of freedom. For models fitted by ANOVA the method pointed out in Searle et al. (1991) employing quadratic forms generating ANOVA sum of squares is also available. There are several functions for extracting, random effects, fixed effects, variance-covariance matrices of random and fixed effects. Residuals (marginal, conditional) can be extracted as raw, standardized and studentized residuals. Additionally, plotting methods for residuals and random effects and a variability chart are available. The latter is useful for visualizing the variability in sub-classes emerging from the experimental design.
Author: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>

Diff between VCA versions 1.2.1 dated 2015-11-24 and 1.3 dated 2016-03-23

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Package toaster updated to version 0.5.1 with previous version 0.4.2 dated 2016-01-22

Title: Big Data in-Database Analytics with Teradata Aster
Description: A consistent set of tools to perform in-database analytics on Teradata Aster Big Data Discovery Platform. toaster (a.k.a 'to Aster') embraces simple 2-step approach: compute in Aster - visualize and analyze in R. Its `compute` functions use combination of SQL and SQL/MR functions running in Aster database - highly scalable parallel and distributed analytical platform. Then `create` functions visualize results with boxplots, scatterplots, histograms, heatmaps, word clouds, maps, or slope graphs. Advanced options such as faceting, coloring, labeling, and others are supported with most functions.
Author: Gregory Kanevsky [aut, cre], Nick Switanek [aut]
Maintainer: Gregory Kanevsky <gregory.kanevsky@teradata.com>

Diff between toaster versions 0.4.2 dated 2016-01-22 and 0.5.1 dated 2016-03-23

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New package rmdshower with initial version 1.0.0
Package: rmdshower
Title: 'R' 'Markdown' Format for 'shower' Presentations
Version: 1.0.0
Authors@R: c( person("Vadim", "Makeev", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Oleg", "Jahson", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Slava", "Oliyanchuk", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Roman", "Komarov", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Artem", "Polikarpov", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Tony", "Ganch", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Denis", "Hananein", role = c("aut", "cph"), comment = "shower, https://github.com/shower/shower"), person("Gabor", "Csardi", role = c("aut", "cre"), email = "gcsardi@mango-solutions.com"), person("JJ", "Allaire", role = c("aut"), email = "jj@rstudio.com"), person(family = "RStudio", role = "cph"), person(family = "Mango Solutions", role = "cph") )
Description: 'R' 'Markdown' format for 'shower' presentations, see <https://github.com/shower/shower>.
License: MIT + file LICENSE
URL: https://github.com/mangothecat/rmdshower
BugReports: https://github.com/mangothecat/rmdshower/issues
Depends: R (>= 3.0)
Imports: rmarkdown (>= 0.3.3)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-23 18:50:37 UTC; gaborcsardi
Author: Vadim Makeev [aut, cph] (shower, https://github.com/shower/shower), Oleg Jahson [aut, cph] (shower, https://github.com/shower/shower), Slava Oliyanchuk [aut, cph] (shower, https://github.com/shower/shower), Roman Komarov [aut, cph] (shower, https://github.com/shower/shower), Artem Polikarpov [aut, cph] (shower, https://github.com/shower/shower), Tony Ganch [aut, cph] (shower, https://github.com/shower/shower), Denis Hananein [aut, cph] (shower, https://github.com/shower/shower), Gabor Csardi [aut, cre], JJ Allaire [aut], RStudio [cph], Mango Solutions [cph]
Maintainer: Gabor Csardi <gcsardi@mango-solutions.com>
Repository: CRAN
Date/Publication: 2016-03-23 23:15:05

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Package rebird updated to version 0.3.0 with previous version 0.2 dated 2015-07-09

Title: R Client for the eBird Database of Bird Observations
Description: A programmatic client for the eBird database, including functions for searching for bird observations by geographic location (latitude, longitude), eBird hotspots, location identifiers, by notable sightings, by region, and by taxonomic name.
Author: Rafael Maia [aut], Scott Chamberlain [aut], Andy Teucher [aut], Sebastian Pardo [aut, cre]
Maintainer: Sebastian Pardo <sebpardo@gmail.com>

Diff between rebird versions 0.2 dated 2015-07-09 and 0.3.0 dated 2016-03-23

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Package MDMR updated to version 0.3.3 with previous version 0.3.0 dated 2016-02-03

Title: Multivariate Distance Matrix Regression
Description: Allows a user to conduct multivariate distance matrix regression using analytic p-values and compute measures of effect size.
Author: Daniel B. McArtor (dmcartor@nd.edu) [aut, cre]
Maintainer: Daniel B. McArtor <dmcartor@nd.edu>

Diff between MDMR versions 0.3.0 dated 2016-02-03 and 0.3.3 dated 2016-03-23

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Package loo updated to version 0.1.6 with previous version 0.1.5 dated 2016-02-12

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) using Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. We also compute the widely applicable information criterion (WAIC).
Author: Aki Vehtari [aut], Andrew Gelman [aut], Jonah Gabry [cre, aut], Juho Piironen [ctb], Ben Goodrich [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between loo versions 0.1.5 dated 2016-02-12 and 0.1.6 dated 2016-03-23

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New package jqr with initial version 0.2.0
Package: jqr
Title: Client for 'jq', a JSON Processor
Description: Client for 'jq', a JSON processor (<http://stedolan.github.io/jq/>), written in C. 'jq' allows the following with JSON data: index into, parse, do calculations, cut up and filter, change key names and values, perform conditionals and comparisons, and more.
Version: 0.2.0
Depends: R (>= 3.1.2)
License: MIT + file LICENSE
LazyData: true
Authors@R: c(person("Rich", "FitzJohn", role = "aut", email = "rich.fitzjohn@gmail.com"), person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"), person("Stefan Milton Bache", role = "aut", email = "stefan@stefanbache.dk"), person("Stephen", "Dolan", role = c("aut","cph"), comment = "jq library"), person(family = "jq contributors", role = "ctb", comment = "jq library; authors listed in inst/AUTHORS.jq"), person("Free Software Foundation", role = c("ctb","cph"), comment = "parser code in src/parser.c"), person("David M", "Gay", role = c("ctb","cph"), comment = "code in src/jv_dtoa.c"))
VignetteBuilder: knitr
SystemRequirements: GNU make
URL: https://github.com/ropensci/jqr
BugReports: https://github.com/ropensci/jqr/issues
LinkingTo: BH, Rcpp
Imports: Rcpp, lazyeval, magrittr
Suggests: jsonlite, testthat, knitr, covr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-23 21:53:13 UTC; sacmac
Author: Rich FitzJohn [aut], Scott Chamberlain [aut, cre], Stefan Milton Bache [aut], Stephen Dolan [aut, cph] (jq library), jq contributors [ctb] (jq library; authors listed in inst/AUTHORS.jq), Free Software Foundation [ctb, cph] (parser code in src/parser.c), David M Gay [ctb, cph] (code in src/jv_dtoa.c)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-23 23:24:25

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Package gdm updated to version 1.2.0 with previous version 1.1.7 dated 2016-01-09

Title: Functions for Generalized Dissimilarity Modeling
Description: A toolkit with functions to fit, plot, and summarize Generalized Dissimilarity Models.
Author: Glenn Manion, Matthew Lisk, Simon Ferrier, Diego Nieto-Lugilde, Matthew C. Fitzpatrick
Maintainer: Matthew C. Fitzpatrick <mfitzpatrick@al.umces.edu>

Diff between gdm versions 1.1.7 dated 2016-01-09 and 1.2.0 dated 2016-03-23

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Package directPA updated to version 1.3 with previous version 1.2 dated 2015-06-18

Title: Direction Analysis for Pathways and Kinases
Description: Direction analysis is a set of tools designed to identify combinatorial effects of multiple treatments and/or perturbations on pathways and kinases profiled by microarray, RNA-seq, proteomics, or phosphoproteomics data.
Author: Pengyi Yang & Ellis Patrick
Maintainer: Pengyi Yang <yangpy7@gmail.com>

Diff between directPA versions 1.2 dated 2015-06-18 and 1.3 dated 2016-03-23

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Package dad updated to version 1.1.0 with previous version 1.0.2 dated 2015-11-05

Title: Three-Way Data Analysis Through Densities
Description: The three-way data consists of a set of variables measured on several groups of individuals. To each group is associated an estimated probability density function. The package provides functional methods (principal component analysis, multidimensional scaling, discriminant analysis...) for such probability densities.
Author: Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Sabine Demotes-Mainard
Maintainer: Rachid Boumaza <rachid.boumaza@agrocampus-ouest.fr>

Diff between dad versions 1.0.2 dated 2015-11-05 and 1.1.0 dated 2016-03-23

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New package Countr with initial version 3.2.0
Package: Countr
Type: Package
Title: Flexible Univariate and Bivariate Count Process Probability
Version: 3.2.0
Date: 2016-03-23
Author: Tarak Kharrat, Georgi N. Boshnakov
Maintainer: Tarak Kharrat <tarak.kharrat@manchester.ac.uk>
Description: Flexible univariate and bivariate count models based on the Weibull distribution. The models may include covariates and can be specified with familiar formula syntax.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Matrix, Rcpp (>= 0.11.3), flexsurv, Formula, VGAM, optimx, numDeriv, boot, MASS, car
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
LazyData: no
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-23 11:31:36 UTC; tarak
Repository: CRAN
Date/Publication: 2016-03-23 23:36:38

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Package bold updated to version 0.3.4 with previous version 0.3.0 dated 2015-09-16

Title: Interface to Bold Systems 'API'
Description: A programmatic interface to the Web Service methods provided by Bold Systems for genetic 'barcode' data. Functions include methods for searching by sequences by taxonomic names, ids, collectors, and institutions; as well as a function for searching for specimens, and downloading trace files.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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 bold-0.3.4/bold/man/bold_trace.Rd           |   32 +++++++-------
 bold-0.3.4/bold/man/sequences.Rd            |    6 +-
 bold-0.3.4/bold/vignettes/bold_vignette.Rmd |    2 
 29 files changed, 272 insertions(+), 200 deletions(-)

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New package braidReports with initial version 0.5.2
Package: braidReports
Type: Package
Title: Visualize Combined Action Response Surfaces and Report BRAID Analyses
Version: 0.5.2
Date: 2016-03-22
Author: Nathaniel R. Twarog
Maintainer: Nathaniel R. Twarog <nathaniel.twarog@stjude.org>
Depends: ggplot2, braidrm, stats
Imports: utils, grid
Suggests: gtable, gridExtra (>= 2.0.0)
Description: Provides functions to generate, format, and style surface plots for visualizing combined action data. Also provides functions for reporting on a BRAID analysis, including plotting curve-shifts, calculating IAE values, and producing full BRAID analysis reports.
License: GPL (>= 3)
Packaged: 2016-03-23 15:55:14 UTC; ntwarog
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-23 22:54:43

More information about braidReports at CRAN
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