Mon, 06 Feb 2017

Package xmeta updated to version 1.1-3 with previous version 1.1-2 dated 2016-10-04

Title: A Toolbox for Multivariate Meta-Analysis
Description: A toolbox for meta-analysis. This package includes a collection of functions for (1) implementing robust multivariate meta-analysis of continuous or binary outcomes; and (2) a bivariate Egger's test for detecting publication bias.
Author: Yong Chen [aut, cre], Chuan Hong [aut], Haitao Chu [ctb], Yulun Liu [ctb]
Maintainer: Yong Chen <ychen123@upenn.edu>

Diff between xmeta versions 1.1-2 dated 2016-10-04 and 1.1-3 dated 2017-02-06

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Package treebase updated to version 0.1.4 with previous version 0.1.3 dated 2016-09-05

Title: Discovery, Access and Manipulation of 'TreeBASE' Phylogenies
Description: Interface to the API for 'TreeBASE' <http://treebase.org> from 'R.' 'TreeBASE' is a repository of user-submitted phylogenetic trees (of species, population, or genes) and the data used to create them.
Author: Carl Boettiger [aut, cre], Duncan Temple Lang [aut]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between treebase versions 0.1.3 dated 2016-09-05 and 0.1.4 dated 2017-02-06

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Package supportInt updated to version 1.1 with previous version 1.0 dated 2016-05-06

Title: Calculates Likelihood Support Intervals for Common Data Types
Description: Calculates likelihood based support intervals for several common data types including binomial, Poisson, normal, lm(), and glm(). For the binomial, Poisson, and normal data likelihood intervals are calculated via root finding algorithm. Additional parameters allow the user to specify whether they would like to receive a parametric bootstrap estimate of the confidence level of said support interval. For lm() and glm(), the function returns profile likelihoods for each coefficient in the model.
Author: Derek Smith
Maintainer: Derek Smith <derek.smith@vanderbilt.edu>

Diff between supportInt versions 1.0 dated 2016-05-06 and 1.1 dated 2017-02-06

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Package sf updated to version 0.3-4 with previous version 0.3-2 dated 2017-02-04

Title: Simple Features for R
Description: Support for simple features, a standardized way to encode spatial data, with bindings to GDAL, GEOS and Proj.4.
Author: Edzer Pebesma [aut, cre], Roger Bivand [ctb], Ian Cook [ctb], Tim Keitt [ctb], Michael Sumner [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb], Etienne Racine [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sf versions 0.3-2 dated 2017-02-04 and 0.3-4 dated 2017-02-06

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Package riverdist updated to version 0.13.1 with previous version 0.13.0 dated 2016-12-21

Title: River Network Distance Computation and Applications
Description: Reads river network shape files and computes network distances. Also included are a variety of computation and graphical tools designed for fisheries telemetry research, such as minimum home range, kernel density estimation, and clustering analysis using empirical k-functions with a bootstrap envelope. Tools are also provided for editing the river networks, meaning there is no reliance on external software.
Author: Matt Tyers [aut, cre]
Maintainer: Matt Tyers <matt.tyers@alaska.gov>

Diff between riverdist versions 0.13.0 dated 2016-12-21 and 0.13.1 dated 2017-02-06

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Package QuantileGradeR updated to version 0.1.1 with previous version 0.1 dated 2017-02-04

Title: Quantile-Adjusted Restaurant Grading
Description: Implementation of the food safety restaurant grading system adopted by Public Health - Seattle & King County (see Ashwood, Z.C., Elias, B., and Ho. D.E. "Improving the Reliability of Food Safety Disclosure: A Quantile Adjusted Restaurant Grading System for Seattle-King County" (working paper)). As reported in the accompanying paper, this package allows jurisdictions to easily implement refinements that address common challenges with unadjusted grading systems. First, in contrast to unadjusted grading, where the most recent single routine inspection is the primary determinant of a grade, grading inputs are allowed to be flexible. For instance, it is straightforward to base the grade on average inspection scores across multiple inspection cycles. Second, the package can identify quantile cutoffs by inputting substantively meaningful regulatory thresholds (e.g., the proportion of establishments receiving sufficient violation points to warrant a return visit). Third, the quantile adjustment equalizes the proportion of establishments in a flexible number of grading categories (e.g., A/B/C) across areas (e.g., ZIP codes, inspector areas) to account for inspector differences. Fourth, the package implements a refined quantile adjustment that addresses two limitations with the stats::quantile() function when applied to inspection score datasets with large numbers of score ties. The quantile adjustment algorithm iterates over quantiles until, over all restaurants in all areas, grading proportions are within a tolerance of desired global proportions. In addition the package allows a modified definition of "quantile" from "Nearest Rank". Instead of requiring that at least p[1]% of restaurants receive the top grade and at least (p[1]+p[2])% of restaurants receive the top or second best grade for quantiles p, the algorithm searches for cutoffs so that as close as possible p[1]% of restaurants receive the top grade, and as close as possible to p[2]% of restaurants receive the second top grade.
Author: Zoe Ashwood <zashwood@law.stanford.edu>, Becky Elias <Becky.Elias@kingcounty.gov>, Daniel E. Ho <dho@law.stanford.edu>
Maintainer: Zoe Ashwood <zashwood@law.stanford.edu>

Diff between QuantileGradeR versions 0.1 dated 2017-02-04 and 0.1.1 dated 2017-02-06

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Package party updated to version 1.2-0 with previous version 1.1-2 dated 2016-11-28

Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut], Carolin Strobl [aut], Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between party versions 1.1-2 dated 2016-11-28 and 1.2-0 dated 2017-02-06

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Package nlme updated to version 3.1-131 with previous version 3.1-130 dated 2017-01-24

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), R-core [aut, cre]
Maintainer: R-core <R-core@R-project.org>

Diff between nlme versions 3.1-130 dated 2017-01-24 and 3.1-131 dated 2017-02-06

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Package ManifoldOptim updated to version 0.1.2 with previous version 0.1.1 dated 2016-11-21

Title: An R Interface to the 'ROPTLIB' Library for Riemannian Manifold Optimization
Description: An R interface to the 'ROPTLIB' optimization library (see <http://www.math.fsu.edu/~whuang2> for more information). Optimize real-valued functions over manifolds such as Stiefel, Grassmann, and Symmetric Positive Definite matrices.
Author: Kofi P. Adragni [aut, cre, cph], Sean R. Martin [aut, cph], Andrew M. Raim [aut, cph], Wen Huang [aut, cph]
Maintainer: Kofi P. Adragni <kofi@umbc.edu>

Diff between ManifoldOptim versions 0.1.1 dated 2016-11-21 and 0.1.2 dated 2017-02-06

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Package libcoin updated to version 0.9-1 with previous version 0.9-0 dated 2016-12-09

Title: Linear Test Statistics for Permutation Inference
Description: Basic infrastructure for linear test statistics and permutation inference in the framework of Strasser and Weber (1999) <http://epub.wu.ac.at/102/>. This package must not be used by end-users. CRAN package 'coin' implements all user interfaces and is ready to be used by anyone.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between libcoin versions 0.9-0 dated 2016-12-09 and 0.9-1 dated 2017-02-06

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Package fastJT updated to version 1.0.1 with previous version 1.0 dated 2017-01-27

Title: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies
Description: This 'Rcpp'-based package implements highly efficient functions for the calculation of the Jonckheere-Terpstra statistic. It can be used for a variety of applications, including feature selection in machine learning problems, or to conduct genome-wide association studies (GWAS) with multiple quantitative phenotypes. The code leverages 'OpenMP' directives for multi-core computing to reduce overall processing time.
Author: Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>

Diff between fastJT versions 1.0 dated 2017-01-27 and 1.0.1 dated 2017-02-06

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Package countrycode updated to version 0.19 with previous version 0.18 dated 2014-12-29

Title: Convert Country Names and Country Codes
Description: Standardize country names, convert them into one of eleven coding schemes, convert between coding schemes, and assign region descriptors.
Author: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between countrycode versions 0.18 dated 2014-12-29 and 0.19 dated 2017-02-06

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New package SMLoutliers with initial version 0.1
Package: SMLoutliers
Type: Package
Title: Outlier Detection Using Statistical and Machine Learning Methods
Version: 0.1
Date: 2017-06-06
Author: Siddharth Jain and Prabhanjan Tattar
Maintainer: Siddharth Jain <siddharthjain242@gmail.com>
Description: Local Correlation Integral (LOCI) method for outlier identification is implemented here. The LOCI method developed here is invented in Breunig, et al. (2000), see <doi:10.1145/342009.335388>.
License: GPL-2
NeedsCompilation: no
Packaged: 2017-02-06 13:43:28 UTC; siddharthjain
Repository: CRAN
Date/Publication: 2017-02-06 17:38:16

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New package sarima with initial version 0.4-3
Package: sarima
Type: Package
Title: Simulation and Prediction with Seasonal ARIMA Models
Version: 0.4-3
Date: 2017-02-02
Author: Georgi N. Boshnakov
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>
Description: Functions, classes and methods for time series modelling with ARIMA and related models. The aim of the package is to provide consistent interface for the user. For example, a single function autocorrelations() computes various kinds of theoretical and sample autocorrelations. This is work in progress, see the documentation and vignettes for the current functionality.
Depends: methods, stats4
Imports: PolynomF, ltsa, FitAR, FitARMA, portes,
License: GPL (>= 2)
LazyLoad: yes
Collate: utils.R filterClasses.R modelClasses.R sarima.R lagged.R autocovariances.R armacalc.R
NeedsCompilation: no
Packaged: 2017-02-06 13:48:20 UTC; mcbssgb2
Repository: CRAN
Date/Publication: 2017-02-06 17:38:17

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New package metaviz with initial version 0.1.0
Package: metaviz
Type: Package
Title: Rainforest Plots for Meta-Analysis
Version: 0.1.0
Authors@R: c( person("Michael", "Kossmeier", email = "michael.kossmeier@univie.ac.at", role = c("cre", "aut")), person("Ulrich S.", "Tran", email = "ulrich.tran@univie.ac.at", role = c("aut")), person("Martin", "Voracek", email = "martin.voracek@univie.ac.at", role = c("aut")) )
Description: Creates rainforest plots (proposed by Schild & Voracek, 2015 <doi:10.1002/jrsm.1125>), a variant and enhancement of the classic forest plot for meta-analysis. In the near future, the 'metaviz' package will be extended by further, established as well as novel, plotting options for visualizing meta-analytic data.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: ggplot2 (>= 2.2.1), plyr (>= 1.8.4), RColorBrewer (>= 1.1-2)
Suggests: metafor (>= 1.9-9), Cairo (>= 1.5-9), knitr, rmarkdown
Depends: R (>= 2.10)
RoxygenNote: 5.0.1
VignetteBuilder: knitr
URL: https://github.com/Mkossmeier/metaviz
BugReports: https://github.com/Mkossmeier/metaviz/issues
NeedsCompilation: no
Packaged: 2017-02-06 13:42:38 UTC; micha
Author: Michael Kossmeier [cre, aut], Ulrich S. Tran [aut], Martin Voracek [aut]
Maintainer: Michael Kossmeier <michael.kossmeier@univie.ac.at>
Repository: CRAN
Date/Publication: 2017-02-06 17:38:14

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New package cbird with initial version 1.0
Package: cbird
Type: Package
Title: Clustering of Multivariate Binary Data with Dimension Reduction via L1-Regularized Likelihood Maximization
Version: 1.0
Date: 2017-02-06
Author: Michio Yamamoto
Maintainer: Michio Yamamoto <michio.koko@gmail.com>
Description: The clustering of binary data with reducing the dimensionality (CLUSBIRD) proposed by Yamamoto and Hayashi (2015) <doi:10.1016/j.patcog.2015.05.026>.
License: GPL (>= 2)
URL: http://michioyamamoto.com
Repository: CRAN
NeedsCompilation: yes
Packaged: 2017-02-06 13:39:48 UTC; root
Date/Publication: 2017-02-06 17:38:13

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Package BayesFM updated to version 0.1.1 with previous version 0.1.0 dated 2016-12-19

Title: Bayesian Inference for Factor Modeling
Description: Collection of procedures to perform Bayesian analysis on a variety of factor models. Currently, it includes: Bayesian Exploratory Factor Analysis (befa), an approach to dedicated factor analysis with stochastic search on the structure of the factor loading matrix. The number of latent factors, as well as the allocation of the manifest variables to the factors, are not fixed a priori but determined during MCMC sampling. More approaches will be included in future releases of this package.
Author: Rémi Piatek [aut, cre]
Maintainer: Rémi Piatek <remi.piatek@econ.ku.dk>

Diff between BayesFM versions 0.1.0 dated 2016-12-19 and 0.1.1 dated 2017-02-06

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 BayesFM-0.1.1/BayesFM/NAMESPACE                          |   41 ++
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Package yarrr updated to version 0.1.4 with previous version 0.1.2 dated 2016-10-25

Title: A Companion to the e-Book "YaRrr!: The Pirate's Guide to R"
Description: Contains a mixture of functions and data sets referred to in the introductory e-book "YaRrr!: The Pirate's Guide to R". The latest version of the e-book is available for free at <https://www.thepiratesguidetor.com>.
Author: Nathaniel Phillips [aut, cre]
Maintainer: Nathaniel Phillips <yarrr.book@gmail.com>

Diff between yarrr versions 0.1.2 dated 2016-10-25 and 0.1.4 dated 2017-02-06

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More information about yarrr at CRAN
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Package roxygen2 updated to version 6.0.1 with previous version 6.0.0 dated 2017-01-31

Title: In-Line Documentation for R
Description: Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted comments. Writing documentation in-line with code makes it easier to keep your documentation up-to-date as your requirements change. 'Roxygen2' is inspired by the 'Doxygen' system for C++.
Author: Hadley Wickham [aut, cre, cph], Peter Danenberg [aut, cph], Manuel Eugster [aut, cph], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between roxygen2 versions 6.0.0 dated 2017-01-31 and 6.0.1 dated 2017-02-06

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Package kernDeepStackNet updated to version 2.0.0 with previous version 1.0.1 dated 2016-02-01

Title: Kernel Deep Stacking Networks
Description: Contains functions for estimation and model selection of kernel deep stacking networks. The model selection includes direct optimization or model based alternatives with arbitrary loss functions.
Author: Thomas Welchowski <welchow@imbie.meb.uni-bonn.de> and Matthias Schmid <matthias.schmid@imbie.uni-bonn.de>
Maintainer: Thomas Welchowski <welchow@imbie.meb.uni-bonn.de>

Diff between kernDeepStackNet versions 1.0.1 dated 2016-02-01 and 2.0.0 dated 2017-02-06

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More information about kernDeepStackNet at CRAN
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Package CompareTests updated to version 1.2 with previous version 1.1 dated 2015-07-12

Title: Correct for Verification Bias in Diagnostic Accuracy & Agreement
Description: A standard test is observed on all specimens. We treat the second test (or sampled test) as being conducted on only a stratified sample of specimens. Verification Bias is this situation when the specimens for doing the second (sampled) test is not under investigator control. We treat the total sample as stratified two-phase sampling and use inverse probability weighting. We estimate diagnostic accuracy (category-specific classification probabilities; for binary tests reduces to specificity and sensitivity, and also predictive values) and agreement statistics (percent agreement, percent agreement by category, Kappa (unweighted), Kappa (quadratic weighted) and symmetry tests (reduces to McNemar's test for binary tests)). See: Katki HA, Li Y, Edelstein DW, Castle PE. Estimating the agreement and diagnostic accuracy of two diagnostic tests when one test is conducted on only a subsample of specimens. Stat Med. 2012 Feb 28; 31(5) <doi:10.1002/sim.4422>.
Author: Hormuzd A. Katki and David W. Edelstein
Maintainer: Hormuzd Katki <katkih@mail.nih.gov>

Diff between CompareTests versions 1.1 dated 2015-07-12 and 1.2 dated 2017-02-06

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More information about CompareTests at CRAN
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Package ZeligChoice updated to version 0.9-3 with previous version 0.9-2 dated 2017-02-02

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 0.9-2 dated 2017-02-02 and 0.9-3 dated 2017-02-06

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New package samplingDataCRT with initial version 1.0
Package: samplingDataCRT
Version: 1.0
Type: Package
Title: Sampling Data Within Different Study Designs for Cluster Randomized Trials
Date: 2017-01-20
Author: Diana Trutschel, Hendrik Treutler
Maintainer: Diana Trutschel <Diana.Trutschel@dzne.de>
Description: Package provides the possibility to sampling complete datasets from a normal distribution to simulate cluster randomized trails for different study designs.
License: GPL-3
RoxygenNote: 5.0.1
Imports: mvtnorm, stats
Suggests: knitr, rmarkdown, lme4
VignetteBuilder: knitr
Packaged: 2017-02-06 12:28:06 UTC; trutscheld
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-02-06 14:28:31

More information about samplingDataCRT at CRAN
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Package paramGUI updated to version 2.1 with previous version 2.0 dated 2016-06-16

Title: A Shiny GUI for some Parameter Estimation Examples
Description: Allows specification and fitting of some parameter estimation examples inspired by time-resolved spectroscopy via a Shiny GUI.
Author: Joris Snellenburg [cre, aut], Katharine Mullen [aut], Ivo van Stokkum [aut]
Maintainer: Joris Snellenburg <j.snellenburg@vu.nl>

Diff between paramGUI versions 2.0 dated 2016-06-16 and 2.1 dated 2017-02-06

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Package ontologyIndex updated to version 2.4 with previous version 2.3 dated 2016-11-23

Title: Functions for Reading Ontologies into R
Description: Functions for reading ontologies into R as lists and manipulating sets of ontological terms - 'ontologyX: A suite of R packages for working with ontological data', Greene et al 2017 <doi:10.1093/bioinformatics/btw763>.
Author: Daniel Greene <dg333@cam.ac.uk>
Maintainer: Daniel Greene <dg333@cam.ac.uk>

Diff between ontologyIndex versions 2.3 dated 2016-11-23 and 2.4 dated 2017-02-06

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More information about ontologyIndex at CRAN
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New package mdftracks with initial version 0.2.0
Package: mdftracks
Type: Package
Title: Read and Write 'MTrackJ Data Files'
Version: 0.2.0
Authors@R: person("Gerhard", "Burger", email = "burger.ga@gmail.com", role = c("aut", "cre"))
Description: 'MTrackJ' is an 'ImageJ' plugin for motion tracking and analysis (see <https://imagescience.org/meijering/software/mtrackj/>). This package reads and writes 'MTrackJ Data Files' ('.mdf', see <https://imagescience.org/meijering/software/mtrackj/format/>). It supports 2D data and read/writes cluster, point, and channel information. If desired, generates track identifiers that are unique over the clusters. See the project page for more information and examples.
License: GPL-3 | file LICENSE
LazyData: TRUE
Depends: R (>= 2.10)
Imports: hellno
URL: https://github.com/burgerga/mdftracks
BugReports: https://github.com/burgerga/mdftracks/issues
RoxygenNote: 6.0.0
Suggests: testthat, tools
NeedsCompilation: no
Packaged: 2017-02-06 11:17:56 UTC; gerhard
Author: Gerhard Burger [aut, cre]
Maintainer: Gerhard Burger <burger.ga@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-06 14:33:22

More information about mdftracks at CRAN
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Package Luminescence updated to version 0.7.0 with previous version 0.6.4 dated 2016-09-09

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc], Michael Dietze [aut], Christoph Burow [aut, trl, dtc], Margret C. Fuchs [aut], Christoph Schmidt [aut], Manfred Fischer [aut, trl], Johannes Friedrich [aut], Norbert Mercier [ctb], Rachel K. Smedley [ctb], Claire Christophe [ctb], Antoine Zink [ctb], Julie Durcan [ctb], Georgina King [ctb, dtc], Anne Philippe [ctb], Guillaume Guerin [ctb], Markus Fuchs [ths]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@u-bordeaux-montaigne.fr>

Diff between Luminescence versions 0.6.4 dated 2016-09-09 and 0.7.0 dated 2017-02-06

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New package LncFinder with initial version 1.0.0
Package: LncFinder
Type: Package
Title: Long Non-Coding RNA Identification Based on Features of Sequence, EIIP and Secondary Structure
Version: 1.0.0
Author: Han Siyu [aut, cre], Li Ying [aut], Liang Yanchun [aut]
Maintainer: Han Siyu <hansy15@mails.jlu.edu.cn>
Acknowledgments: Cheng Ming, Fan Linrui, Guo Yuan, Li Yaolong
Description: Functions for predicting sequences are mRNAs or long non-coding RNAs. Default models are trained on human, mouse and wheat datasets by employing SVM. Features are based on intrinsic composition of sequence, EIIP value (electron-ion interaction pseudopotential) and secondary structure. The model can also be built on users' own data.
License: GPL-3
Depends: R (>= 3.2.3), seqinr (>= 3.1-3), e1071 (>= 1.6-7), caret (>= 6.0-71), parallel (>= 3.1.0)
LazyData: true
RoxygenNote: 6.0.0
NeedsCompilation: no
Packaged: 2017-02-06 12:19:36 UTC; Alex
Repository: CRAN
Date/Publication: 2017-02-06 14:30:20

More information about LncFinder at CRAN
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Package BiTrinA updated to version 1.2 with previous version 1.1 dated 2015-08-11

Title: Binarization and Trinarization of One-Dimensional Data
Description: Provides methods for the binarization and trinarization of one-dimensional data and some visualization functions.
Author: Stefan Mundus, Christoph Müssel, Florian Schmid, Ludwig Lausser, Tamara J. Blätte, Martin Hopfensitz, Hans A. Kestler
Maintainer: Hans Kestler <hans.kestler@uni-ulm.de>

Diff between BiTrinA versions 1.1 dated 2015-08-11 and 1.2 dated 2017-02-06

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Permanent link

Package Binarize updated to version 1.2 with previous version 1.1 dated 2015-07-15

Title: Binarization of One-Dimensional Data
Description: Provides methods for the binarization of one-dimensional data and some visualization functions.
Author: Stefan Mundus, Christoph Müssel, Florian Schmid, Ludwig Lausser, Tamara J. Blätte, Martin Hopfensitz, Hans A. Kestler
Maintainer: Hans Kestler <hans.kestler@uni-ulm.de>

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Permanent link

Package deeplearning (with last version 0.1.0) was removed from CRAN

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

2016-04-11 0.1.0

Permanent link
Package TAM updated to version 1.99993-0 with previous version 1.99992-0 dated 2017-01-23

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>

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More information about TAM at CRAN
Permanent link

Package sjPlot updated to version 2.3.0 with previous version 2.2.1 dated 2017-01-10

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, PCA and correlation matrices, cluster analyses, scatter plots, Likert scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjPlot versions 2.2.1 dated 2017-01-10 and 2.3.0 dated 2017-02-06

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Package rbi updated to version 0.7.0 with previous version 0.6.0 dated 2016-12-23

Title: R Interface to LibBi
Description: Provides a complete R interface to LibBi, a library for Bayesian inference (see <http://libbi.org> for more information). This includes functions for manipulating LibBi models, for reading and writing LibBi input/output files, for converting LibBi output to provide traces for use with the coda package, and for running LibBi from R.
Author: Pierre E. Jacob [aut], Anthony Lee [ctb], Lawrence M. Murray [ctb], Sebastian Funk [aut, cre]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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Package GrowingSOM updated to version 0.1.1 with previous version 0.1 dated 2017-02-03

Title: Growing Self-Organizing Maps
Description: A growing self-organizing map (GrowingSOM, GSOM) is a growing variant of the popular self-organizing map (SOM). A growing self-organizing map is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a two-dimensional representation of the input space of the training samples, called a map.
Author: Hunziker Alex [aut, cre]
Maintainer: Hunziker Alex <alexhunziker@sunrise.ch>

Diff between GrowingSOM versions 0.1 dated 2017-02-03 and 0.1.1 dated 2017-02-06

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New package GCalignR with initial version 0.1.0
Package: GCalignR
Title: Simple Peak Alignment for Gas-Chromatography Data
Version: 0.1.0
Authors@R: c(person("Martin", "Stoffel", email = "martin.adam.stoffel@gmail.com", role = c("aut")), person("Meinolf", "Ottensmann", email = "meinolf.ottensmann@web.de", role = c("aut","cre")), person("Joseph I.", "Hoffman", email = "j_i_hoffman@hotmail.com", role = c("aut")))
Description: Aligns chromatography peaks with a three step algorithm: (1) Linear transformation of retention times to maximise shared peaks among samples (2) Align peaks within a certain error-interval (3) Merges rows that are likely representing the same substance (i.e. no sample shows peaks in both rows and the rows have similar retention time means). The method was first described in Stoffel et al. (2015) <doi:10.1073/pnas.1506076112>.
Depends: R (>= 3.2.5)
Imports: ggplot2 (>= 2.2.1), graphics, stats, readr, reshape2, stringr, utils
License: GPL (>= 2)
LazyData: true
RoxygenNote: 5.0.1
Suggests: knitr, pander, rmarkdown, testthat, vegan (>= 2.4.2)
VignetteBuilder: knitr
BugReports: https://github.com/mastoffel/GCalignR/issues
URL: https://github.com/mastoffel/GCalignR
NeedsCompilation: no
Packaged: 2017-02-06 10:30:11 UTC; meinolf
Author: Martin Stoffel [aut], Meinolf Ottensmann [aut, cre], Joseph I. Hoffman [aut]
Maintainer: Meinolf Ottensmann <meinolf.ottensmann@web.de>
Repository: CRAN
Date/Publication: 2017-02-06 11:44:38

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Package ZIM updated to version 1.0.3 with previous version 1.0.2 dated 2014-10-06

Title: Zero-Inflated Models for Count Time Series with Excess Zeros
Description: Fits observation-driven and parameter-driven models for zero-inflated time series.
Author: Ming Yang, Gideon K. D. Zamba, and Joseph E. Cavanaugh
Maintainer: Ming Yang <mingyang@biostatstudio.com>

Diff between ZIM versions 1.0.2 dated 2014-10-06 and 1.0.3 dated 2017-02-06

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Package geojsonio updated to version 0.3.2 with previous version 0.3.0 dated 2017-01-27

Title: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description: Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. geojsonio does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Author: Scott Chamberlain [aut, cre], Andy Teucher [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between geojsonio versions 0.3.0 dated 2017-01-27 and 0.3.2 dated 2017-02-06

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Package bestglm updated to version 0.35 with previous version 0.34 dated 2014-03-02

Title: Best Subset GLM
Description: Best subset glm using AIC, BIC, EBIC, BICq or Cross-Validation. For the normal case, the 'leaps' is used. Otherwise, a slower exhaustive search. The 'xtable' package is needed for vignette 'SimExperimentBICq.Rnw' accompanying this package.
Author: A.I. McLeod and Changjiang Xu
Maintainer: A.I. McLeod <aimcleod@uwo.ca>

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Package BAMBI updated to version 1.1.0 with previous version 1.0.1 dated 2017-01-04

Title: Bivariate Angular Mixture Models
Description: Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions.
Author: Saptarshi Chakraborty, Samuel W.K. Wong
Maintainer: Saptarshi Chakraborty <c7rishi@ufl.edu>

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