Tue, 14 Mar 2017

Package myTAI updated to version 0.5.0 with previous version 0.4.0 dated 2016-05-04

Title: Evolutionary Transcriptomics Analyses
Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes. The aim of this tool is to provide a transcriptome analysis environment for answering questions regarding the evolution of biological processes.
Author: Hajk-Georg Drost
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>

Diff between myTAI versions 0.4.0 dated 2016-05-04 and 0.5.0 dated 2017-03-14

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 NEWS.md                                |   34 +
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New package EpiCurve with initial version 1.0-0
Package: EpiCurve
Type: Package
Title: Plot an Epidemic Curve
Version: 1.0-0
Date: 2017-03-14
Authors@R: c(person("Jean Pierre", "Decorps", role = c("aut", "cre"), email = "jp.decorps@epiconcept.fr"), person("Morgane","Vallee", role = "ctb", email = "m.vallee@epiconcept.fr") )
Description: Creates simple or stacked epidemic curves for daily, weekly or monthly incomes data.
License: LGPL-3
Encoding: UTF-8
LazyData: true
Depends: ggplot2, dplyr, ISOweek
Imports: RColorBrewer
NeedsCompilation: no
Packaged: 2017-03-14 17:18:13 UTC; kdo
Author: Jean Pierre Decorps [aut, cre], Morgane Vallee [ctb]
Maintainer: Jean Pierre Decorps <jp.decorps@epiconcept.fr>
Repository: CRAN
Date/Publication: 2017-03-14 20:13:24

More information about EpiCurve at CRAN
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Package huxtable updated to version 0.1.1 with previous version 0.1.0 dated 2017-03-12

Title: Simply Create LaTeX and HTML Tables
Description: Creates HTML and LaTeX tables. Provides similar functionality to 'xtable', but does more, with a simpler interface.
Author: David Hugh-Jones
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between huxtable versions 0.1.0 dated 2017-03-12 and 0.1.1 dated 2017-03-14

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Package BAS updated to version 1.4.4 with previous version 1.4.3 dated 2017-02-21

Title: Bayesian Model Averaging using Bayesian Adaptive Sampling
Description: Package for Bayesian Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang et al (2008) <DOI:10.1198/016214507000001337> for linear models or mixtures of g-priors in GLMs of Li and Clyde (2015) <http://arxiv.org/abs/1503.06913>. Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g. Sampling probabilities may be updated based on the sampled models using Sampling w/out Replacement or an efficient MCMC algorithm samples models using the BAS tree structure as an efficient hash table. Uniform priors over all models or beta-binomial prior distributions on model size are allowed, and for large p truncated priors on the model space may be used. The user may force variables to always be included. Details behind the sampling algorithm are provided in Clyde, Ghosh and Littman (2010) <DOI:10.1198/jcgs.2010.09049>. This material is based upon work supported by the National Science Foundation under Grant DMS-1106891. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Author: Merlise Clyde [aut, cre, cph], Michael Littman [ctb], Quanli Wang [ctb], Joyee Ghosh [ctb], Yingbo Li [ctb]
Maintainer: Merlise Clyde <clyde@stat.duke.edu>

Diff between BAS versions 1.4.3 dated 2017-02-21 and 1.4.4 dated 2017-03-14

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More information about BAS at CRAN
Permanent link

Package XGR updated to version 1.0.9 with previous version 1.0.8 dated 2017-01-13

Title: Exploring Genomic Relations for Enhanced Interpretation Through Enrichment, Similarity, Network and Annotation Analysis
Description: The central goal of XGR is to provide a data interpretation system. It is designed to make a user-defined gene or SNP list (or genomic regions) more interpretable by comprehensively utilising ontology annotations and interaction networks to reveal relationships and enhance opportunities for biological discovery. XGR is unique in supporting a broad range of ontologies (including knowledge of biological and molecular functions, pathways, diseases and phenotypes - in both human and mouse) and different types of networks (including functional, physical and pathway interactions). There are two core functionalities of XGR. The first is to provide basic infrastructures for easy access to built-in ontologies and networks. The second is to support data interpretations via 1) enrichment analysis using either built-in or custom ontologies, 2) similarity analysis for calculating semantic similarity between genes (or SNPs) based on their ontology annotation profiles, 3) network analysis for identification of gene networks given a query list of (significant) genes, SNPs or genomic regions, and 4) annotation analysis for interpreting genomic regions using co-localised functional genomic annotations (such as open chromatin, epigenetic marks, TF binding sites and genomic segments) and using nearby gene annotations (by ontologies). Together with its web app, XGR aims to provide a user-friendly tool for exploring genomic relations at the gene, SNP and genomic region level.
Author: Hai Fang, Bogdan Knezevic, Katie L Burnham, Julian C Knight
Maintainer: Hai Fang <hfang@well.ox.ac.uk>

Diff between XGR versions 1.0.8 dated 2017-01-13 and 1.0.9 dated 2017-03-14

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New package pkr with initial version 0.1.0
Package: pkr
Version: 0.1.0
Date: 2017-03-15
Title: Pharmacokinetics in R
Description: Conduct a noncompartmental analysis as closely as possible to the most widely used commercial software for pharmacokinetic analysis, i.e. 'Phoenix(R) WinNonlin(R)' <https://www.certara.com/software/pkpd-modeling-and-simulation/phoenix-winnonlin/>. Some features are 1) CDISC SDTM terms 2) Automatic slope selection with the same criterion of WinNonlin(R) 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Depends: R (>= 2.0.0), foreign, binr, forestplot
Author: Kyun-Seop Bae [aut], Jee Eun Lee [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Copyright: 2017, Kyun-Seop Bae, Jee Eun Lee
License: GPL-3
NeedsCompilation: no
Repository: CRAN
URL: https://cran.r-project.org/package=pkr
Packaged: 2017-03-14 14:20:29 UTC; K
Date/Publication: 2017-03-14 17:36:11

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Package FLightR updated to version 0.4.6 with previous version 0.4.5 dated 2016-12-15

Title: Hidden Markov Model for Solar Geolocation Archival Tags
Description: Estimate positions of animal from data collected by solar geolocation archival tags.
Author: Eldar Rakhimberdiev <eldar@nioz.nl> with contributions from Anatoly Saveliev and Julia Karagicheva
Maintainer: Eldar Rakhimberdiev <eldar@nioz.nl>

Diff between FLightR versions 0.4.5 dated 2016-12-15 and 0.4.6 dated 2017-03-14

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Package rpostgis updated to version 1.2.0 with previous version 1.1.1 dated 2017-01-18

Title: R Interface to a 'PostGIS' Database
Description: Provides an interface between R and 'PostGIS'-enabled 'PostgreSQL' databases to transparently transfer spatial data. Both vector (points, lines, polygons) and raster data are supported in read and write modes. Also provides convenience functions to execute common procedures in 'PostgreSQL/PostGIS'.
Author: Mathieu Basille [aut], David Bucklin [aut, cre]
Maintainer: David Bucklin <dbucklin@ufl.edu>

Diff between rpostgis versions 1.1.1 dated 2017-01-18 and 1.2.0 dated 2017-03-14

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Package RealVAMS updated to version 0.3-3 with previous version 0.3-2 dated 2015-07-21

Title: Multivariate VAM Fitting
Description: Fits a multivariate value-added model (VAM), see Broatch and Lohr (2012) <doi:10.3102/1076998610396900>, with normally distributed test scores and a binary outcome indicator. A pseudo-likelihood approach, Wolfinger (1993) <doi:10.1080/00949659308811554>, is used for the estimation of this joint generalized linear mixed model. This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.
Author: Andrew T. Karl, Jennifer Broatch, and Jennifer Green
Maintainer: Andrew Karl <akarl@asu.edu>

Diff between RealVAMS versions 0.3-2 dated 2015-07-21 and 0.3-3 dated 2017-03-14

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Package geoknife updated to version 1.5.4 with previous version 1.5.2 dated 2016-12-27

Title: Web-Processing of Large Gridded Datasets
Description: Processes gridded datasets found on the U.S. Geological Survey Geo Data Portal web application or elsewhere, using a web-enabled workflow that eliminates the need to download and store large datasets that are reliably hosted on the Internet. The package provides access to several data subset and summarization algorithms that are available on remote web processing servers.
Author: Jordan Read [aut, cre], Jordan Walker [aut], Alison Appling [aut], David Blodgett [aut], Emily Read [aut], Luke Winslow [aut], Lindsay Carr [aut], David Watkins [aut]
Maintainer: Jordan Read <jread@usgs.gov>

Diff between geoknife versions 1.5.2 dated 2016-12-27 and 1.5.4 dated 2017-03-14

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Package cmsaf updated to version 1.7.2 with previous version 1.7.1 dated 2016-11-28

Title: Tools for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable observing of the climate system by providing Essential Climate Variables related to the energy and water cycle of the atmosphere (<http://www.cmsaf.eu>). It is a joint cooperation of seven National Meteorological and Hydrological Services, including the Deutscher Wetterdienst (DWD). The 'cmsaf' R-package provides a small collection of R-functions, which are inspired by the Climate Data Operators ('cdo'). This gives the opportunity to analyse and manipulate CM SAF data without the need of installing cdo. The 'cmsaf' R-package is tested for CM SAF NetCDF data, which are structured in three-dimensional arrays (longitude, latitude, time) on a rectangular grid. Layered CM SAF data have to be converted with the provided 'levbox_mergetime()' function. The 'cmsaf' R-package functions have only minor checks for deviations from the recommended data structure, and give only few specific error messages. Thus, there is no warranty of accurate results. Scripts for an easy application of the functions are provided at the CM SAF homepage (<http://www.cmsaf.eu/EN/Products/Tools/Tools_node.html>).
Author: Steffen Kothe <Steffen.Kothe@dwd.de>
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package revdbayes updated to version 1.1.0 with previous version 1.0.0 dated 2016-11-23

Title: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Description: Provides functions for the Bayesian analysis of extreme value models. The 'rust' package <https://cran.r-project.org/package=rust> is used to simulate a random sample from the required posterior distribution. The functionality of 'revdbayes' is similar to the 'evdbayes' package <https://cran.r-project.org/package=evdbayes>, which uses Markov Chain Monte Carlo ('MCMC') methods for posterior simulation. See the 'revdbayes' website for more information, documentation and examples.
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package mexhaz updated to version 1.2 with previous version 1.1 dated 2016-05-10

Title: Mixed Effect Excess Hazard Models
Description: Fit flexible (excess) hazard regression models with the possibility of including non-proportional effects of covariables and of adding a shared random effect.
Author: Hadrien Charvat, Aurelien Belot
Maintainer: Hadrien Charvat <chadrien@ncc.go.jp>

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Package clusternomics updated to version 0.1.1 with previous version 0.1.0 dated 2016-08-01

Title: Integrative Clustering for Heterogeneous Biomedical Datasets
Description: Integrative context-dependent clustering for heterogeneous biomedical datasets. Identifies local clustering structures in related datasets, and a global clusters that exist across the datasets.
Author: Evelina Gabasova
Maintainer: Evelina Gabasova <egabasova@gmail.com>

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Package word.alignment updated to version 1.0.5 with previous version 1.0.4 dated 2016-12-30

Title: Computing Word Alignment Using IBM Model 1 (and Symmetrization) for a Given Parallel Corpus and Its Evaluation
Description: For a given Sentence-Aligned Parallel Corpus, it aligns words for each sentence pair. It considers one-to-many and symmetrization alignments. Moreover, it evaluates the quality of word alignment based on this package and some other software. It also builds an automatic dictionary of two languages based on given parallel corpus.
Author: Neda Daneshagr and Majid Sarmad.
Maintainer: Neda Daneshgar<ne_da978@stu-mail.um.ac.ir>

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Package simboot updated to version 0.2-6 with previous version 0.2-5 dated 2014-04-15

Title: Simultaneous Inference for Diversity Indices
Description: Provides estimation of simultaneous bootstrap and asymptotic confidence intervals for diversity indices, namely the Shannon and the Simpson index. Several pre--specified multiple comparison types are available to choose. Further user--defined contrast matrices are applicable. In addition, simboot estimates adjusted as well as unadjusted p--values for two of the three proposed bootstrap methods. Further simboot allows for comparing biological diversities of two or more groups while simultaneously testing a user-defined selection of Hill numbers of orders q, which are considered as appropriate and useful indices for measuring diversity.
Author: Ralph Scherer, Philip Pallmann
Maintainer: Ralph Scherer <shearer.ra76@gmail.com>

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Package sigmoid updated to version 0.2.1 with previous version 0.2.0 dated 2016-08-14

Title: Sigmoid Functions for Machine Learning
Description: Several different sigmoid functions are implemented, including a wrapper function, SoftMax preprocessing and inverse functions.
Author: Bastiaan Quast [aut, cre]
Maintainer: Bastiaan Quast <bquast@gmail.com>

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Package sdcMicro updated to version 5.0.1 with previous version 5.0.0 dated 2017-01-04

Title: Statistical Disclosure Control Methods for Anonymization of Microdata and Risk Estimation
Description: Data from statistical agencies and other institutions are mostly confidential. This package can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. In addition, various risk estimation methods are included. Note that the package includes a graphical user interface that allows to use various methods of this package.
Author: Matthias Templ, Alexander Kowarik, Bernhard Meindl
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package logitnorm updated to version 0.8.34 with previous version 0.8.33 dated 2016-11-10

Title: Functions for the Logitnormal Distribution
Description: Density, distribution, quantile and random generation function for the logitnormal distribution. Estimation of the mode and the first two moments. Estimation of distribution parameters.
Author: Thomas Wutzler
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>

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Package infuser updated to version 0.2.6 with previous version 0.2.5 dated 2016-10-12

Title: A Very Basic Templating Engine
Description: Replace parameters in strings and/or text files with specified values.
Author: Bart Smeets
Maintainer: Bart Smeets <bartsmeets86@gmail.com>

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Package gatepoints updated to version 0.1.3 with previous version 0.1.2 dated 2016-12-16

Title: Easily Gate or Select Points on a Scatter Plot
Description: Allows user to choose/gate a region on the plot and returns points within it.
Author: Wajid Jawaid [aut, cre]
Maintainer: Wajid Jawaid <wj241@cam.ac.uk>

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Package evoper updated to version 0.4.0 with previous version 0.3.0 dated 2016-11-26

Title: Evolutionary Parameter Estimation for 'Repast Simphony' Models
Description: The EvoPER, Evolutionary Parameter Estimation for 'Repast Simphony' Agent-Based framework (<https://repast.github.io/>), provides optimization driven parameter estimation methods based on evolutionary computation techniques which could be more efficient and require, in some cases, fewer model evaluations than other alternatives relying on experimental design.
Author: Antonio Prestes Garcia [aut, cre], Alfonso Rodriguez-Paton [aut, ths]
Maintainer: Antonio Prestes Garcia <antonio.pgarcia@alumnos.upm.es>

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New package DataEntry with initial version 0.9-1
Package: DataEntry
Type: Package
Title: Make it Easier to Enter Questionnaire Data
Version: 0.9-1
Date: 2017-03-14
Author: Jakson Aquino
Maintainer: Jakson Aquino <jalvesaq@gmail.com>
Depends: gWidgets, RGtk2, gWidgetsRGtk2, digest
URL: https://github.com/jalvesaq/DataEntry
Description: This is a GUI application for defining attributes and setting valid values of variables, and then, entering questionnaire data in a data.frame.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2017-03-14 09:55:34 UTC; aquino
Repository: CRAN
Date/Publication: 2017-03-14 14:20:55

More information about DataEntry at CRAN
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Package compareGroups updated to version 3.2.4 with previous version 3.2.3 dated 2017-02-17

Title: Descriptive Analysis by Groups
Description: Create data summaries for quality control, extensive reports for exploring data, as well as publication-ready univariate or bivariate tables in several formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figures to quickly visualise the distribution of your data (boxplots, barplots, normality-plots, etc.). Display statistics (mean, median, frequencies, incidences, etc.). Perform the appropriate tests (t-test, Analysis of variance, Kruskal-Wallis, Fisher, log-rank, ...) depending on the nature of the described variable (normal, non-normal or qualitative). Summarize genetic data (Single Nucleotide Polymorphisms) data displaying Allele Frequencies and performing Hardy-Weinberg Equilibrium tests among other typical statistics and tests for these kind of data.
Author: Isaac Subirana, Joan Vila, Héctor Sanz, Gavin Lucas, Judith Peñafiel and David Giménez
Maintainer: Isaac Subirana <isubirana@imim.es>

Diff between compareGroups versions 3.2.3 dated 2017-02-17 and 3.2.4 dated 2017-03-14

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Package Bergm updated to version 4.0.0 with previous version 3.0.1 dated 2014-11-24

Title: Bayesian Exponential Random Graph Models
Description: Set of tools to analyse Bayesian exponential random graph models.
Author: Alberto Caimo [aut, cre], Lampros Bouranis [aut], Florian Maire [ctb], Nial Friel [ctb]
Maintainer: Alberto Caimo <acaimo.stats@gmail.com>

Diff between Bergm versions 3.0.1 dated 2014-11-24 and 4.0.0 dated 2017-03-14

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New package tsxtreme with initial version 0.3
Package: tsxtreme
Type: Package
Title: Bayesian Modelling of Extremal Dependence in Time Series
Version: 0.3
Date: 2017-03-14
Author: Thomas Lugrin
Maintainer: Thomas Lugrin <thomas.lugrin@epfl.ch>
Depends: R (>= 3.3.3)
Imports: evd, mvtnorm, stats, MASS, graphics
Description: Characterisation of the extremal dependence structure of time series, avoiding pre-processing and filtering as done typically with peaks-over-threshold methods. It uses the conditional approach of Heffernan and Tawn (2004) <DOI:10.1111/j.1467-9868.2004.02050.x> which is very flexible in terms of extremal and asymptotic dependence structures, and Bayesian methods improve efficiency and allow for deriving measures of uncertainty. For example, the extremal index, related to the size of clusters in time, can be estimated and samples from its posterior distribution obtained.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2017-03-14 08:09:44 UTC; thomas
Repository: CRAN
Date/Publication: 2017-03-14 10:26:26

More information about tsxtreme at CRAN
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New package nmw with initial version 0.1.1
Package: nmw
Version: 0.1.1
Title: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics
Description: This shows how NONMEM(R) <http://www.iconplc.com/innovation/nonmem/> software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained.
Depends: R (>= 3.0.0)
ByteCompile: yes
License: GPL-3
Copyright: 2017, Kyun-Seop Bae
Author: Kyun-Seop Bae
Maintainer: Kyun-Seop Bae <k@acr.kr>
URL: http://optimizer.r-forge.r-project.org/
NeedsCompilation: no
Packaged: 2017-03-14 07:19:18 UTC; K
Repository: CRAN
Date: 2017-03-14
Date/Publication: 2017-03-14 10:26:25

More information about nmw at CRAN
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Package ggpubr updated to version 0.1.2 with previous version 0.1.1 dated 2016-12-05

Title: 'ggplot2' Based Publication Ready Plots
Description: 'ggplot2' is an excellent and flexible package for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for publication. Furthermore, to customize a 'ggplot', the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. 'ggpubr' provides some easy-to-use functions for creating and customizing 'ggplot2'- based publication ready plots.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between ggpubr versions 0.1.1 dated 2016-12-05 and 0.1.2 dated 2017-03-14

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New package reticulate with initial version 0.7
Package: reticulate
Type: Package
Title: R Interface to Python
Version: 0.7
Authors@R: c( person("JJ", "Allaire", role = c("aut", "cre"), comment = "R interface", email = "jj@rstudio.com"), person("Kevin", "Ushey", role = c("ctb"), email = "kevin@rstudio.com"), person(family = "RStudio", role = "cph"), person("Yuan", "Tang", role = c("ctb", "cph"), email = "terrytangyuan@gmail.com"), person("Dirk", "Eddelbuettel", role = c("ctb", "cph"), email = "edd@debian.org"), person("Bryan", "Lewis", role = c("ctb", "cph"), email = "blewis@illposed.net"), person("Marcus", "Geelnard", role = c("aut", "cph"), comment = "TinyThread library, http://tinythreadpp.bitsnbites.eu/") )
Description: R interface to Python modules, classes, and functions. When calling into Python R data types are automatically converted to their equivalent Python types. When values are returned from Python to R they are converted back to R types. Compatible with all versions of Python >= 2.7.
License: Apache License 2.0
URL: https://github.com/rstudio/reticulate
BugReports: https://github.com/rstudio/reticulate/issues
SystemRequirements: Python (>= 2.7.0)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0)
Imports: utils, graphics, Rcpp (>= 0.12.7)
Suggests: testthat, knitr
LinkingTo: Rcpp
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-03-13 16:43:09 UTC; jjallaire
Author: JJ Allaire [aut, cre] (R interface), Kevin Ushey [ctb], RStudio [cph], Yuan Tang [ctb, cph], Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Marcus Geelnard [aut, cph] (TinyThread library, http://tinythreadpp.bitsnbites.eu/)
Maintainer: JJ Allaire <jj@rstudio.com>
Repository: CRAN
Date/Publication: 2017-03-14 08:08:13

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Package ncar updated to version 0.3.3 with previous version 0.3.1 dated 2017-02-03

Title: Noncompartmental Analysis for Pharmacokinetic Data for Report
Description: Conduct a noncompartmental analysis as closely as possible to the most widely used commercial software for pharmacokinetic analysis, i.e. 'Phoenix(R) WinNonlin(R)' <https://www.certara.com/software/pkpd-modeling-and-simulation/phoenix-winnonlin/>. Some features are 1) CDISC SDTM terms 2) Automatic slope selection with the same criterion of WinNonlin(R) 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Produce pdf, rtf, text report files. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between ncar versions 0.3.1 dated 2017-02-03 and 0.3.3 dated 2017-03-14

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More information about ncar at CRAN
Permanent link

Package TDMR (with last version 1.4) was removed from CRAN

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

2016-05-19 1.4
2015-04-17 1.3
2014-08-30 1.2
2014-06-06 1.1
2013-10-20 1.0.1
2013-04-05 1.0.0
2013-02-10 0.9.0
2012-11-20 0.4.0
2012-05-31 0.3.1
2012-05-10 0.3.0
2012-03-15 0.2.1
2012-02-09 0.2.0
2012-01-04 0.1.3
2011-12-06 0.1.2
2011-11-14 0.1

Permanent link
Package wrapr updated to version 0.1.1 with previous version 0.1.0 dated 2017-02-11

Title: Wrap R Functions for Debugging and Ease of Use
Description: Provides 'DebugFnW()' to capture function context on error for debugging, and 'let()' which converts non-standard evaluation interfaces to standard evaluation interfaces. 'DebugFnW()' captures the calling function and arguments prior to the call causing the exception, while the classic `options(error=dump.frames)` form captures at the moment of the exception itself (thus function arguments may not be at their starting values). `let()` rebinds (possibly unbound) names to names, which is different than `with()` rebinds names to values.
Author: John Mount, Nina Zumel
Maintainer: John Mount <jmount@win-vector.com>

Diff between wrapr versions 0.1.0 dated 2017-02-11 and 0.1.1 dated 2017-03-14

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Package StereoMorph updated to version 1.6.1 with previous version 1.6 dated 2017-02-13

Title: Stereo Camera Calibration and Reconstruction
Description: Functions for the collection of 3D points and curves using a stereo camera setup.
Author: Aaron Olsen, Annat Haber
Maintainer: Aaron Olsen <aarolsen@gmail.com>

Diff between StereoMorph versions 1.6 dated 2017-02-13 and 1.6.1 dated 2017-03-14

 StereoMorph-1.6.1/StereoMorph/DESCRIPTION                                             |    8 -
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 StereoMorph-1.6.1/StereoMorph/NAMESPACE                                               |    2 
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Permanent link

New package scalpel with initial version 1.0.0
Package: scalpel
Type: Package
Title: Processes Calcium Imaging Data
Version: 1.0.0
Author: Ashley Petersen
Maintainer: Ashley Petersen <ashleyjpete@gmail.com>
Description: Identifies the locations of neurons, and estimates their calcium concentrations over time using the SCALPEL method proposed in Petersen, A., Simon, N., and Witten, D. SCALPEL: Extracting Neurons from Calcium Imaging Data <https://ajpetecom.files.wordpress.com/2017/01/petersenscalpel.pdf>.
License: GPL (>= 2)
URL: www.ajpete.com/software
Imports: Matrix, R.matlab, protoclust, igraph, SDMTools, gam
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2017-03-13 22:02:43 UTC; ashleypetersen
Repository: CRAN
Date/Publication: 2017-03-14 06:58:35

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Package replyr updated to version 0.2.4 with previous version 0.2.3 dated 2017-02-21

Title: Fluid Use of Big Data in R
Description: Methods to get a grip on working with remote data sources ('SQL' databases, 'sparklyr' 'Spark' 2.0.0 and above) through 'dplyr'. Adds convenience functions to make such tasks more like working with an in-memory 'data.frame'. Results do depend on which 'dplyr' data service you use.
Author: John Mount, Nina Zumel
Maintainer: John Mount <jmount@win-vector.com>

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New package outreg with initial version 0.2.2
Package: outreg
Type: Package
Title: Regression Table for Publication
Version: 0.2.2
Authors@R: c( person("Kota", "Mori", email = "kmori05@gmail.com", role = c("aut", "cre")) )
Description: Create regression tables for publication. Currently supports 'lm', 'glm', 'survreg', and 'ivreg' outputs.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0)
Imports: magrittr, reshape2, sandwich, stats, stringr, tidyr, utils
Suggests: AER, survival, testthat
RoxygenNote: 5.0.1
URL: https://github.com/kota7/outreg
BugReports: https://github.com/kota7/outreg/issues
NeedsCompilation: no
Packaged: 2017-03-14 03:08:42 UTC; Kota.Mori
Author: Kota Mori [aut, cre]
Maintainer: Kota Mori <kmori05@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-14 06:58:31

More information about outreg at CRAN
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Package linbin updated to version 0.1.2 with previous version 0.1.1 dated 2015-11-17

Title: Binning and Plotting of Linearly Referenced Data
Description: Short for 'linear binning', the linbin package provides functions for manipulating, binning, and plotting linearly referenced data. Although developed for data collected on river networks, it can be used with any interval or point data referenced to a 1-dimensional coordinate system. Flexible bin generation and batch processing makes it easy to compute and visualize variables at multiple scales, useful for identifying patterns within and between variables and investigating the influence of scale of observation on data interpretation.
Author: Ethan Z. Welty [aut, cre], Christian E. Torgersen [ctb] (author support and guidance), Samuel J. Brenkman [ctb] (elwha and quinault datasets), Jeffrey J. Duda [ctb] (elwha dataset), Jonathan B. Armstrong [ctb] (fishmotion dataset)
Maintainer: Ethan Z. Welty <ethan.welty+linbin@gmail.com>

Diff between linbin versions 0.1.1 dated 2015-11-17 and 0.1.2 dated 2017-03-14

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More information about linbin at CRAN
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Package ecm updated to version 1.1.0 with previous version 1.0.0 dated 2017-03-12

Title: Build Error Correction Models
Description: Functions for easy building of error correction models (ECM) for time series regression.
Author: Gaurav Bansal
Maintainer: Gaurav Bansal <gaurbans@gmail.com>

Diff between ecm versions 1.0.0 dated 2017-03-12 and 1.1.0 dated 2017-03-14

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More information about ecm at CRAN
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Package doFuture updated to version 0.4.0 with previous version 0.3.0 dated 2016-10-28

Title: A Universal Foreach Parallel Adaptor using the Future API of the 'future' Package
Description: Provides a '%dopar%' adaptor such that any type of futures can be used as backends for the 'foreach' framework.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between doFuture versions 0.3.0 dated 2016-10-28 and 0.4.0 dated 2017-03-14

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Package copCAR updated to version 2.0-2 with previous version 2.0-1 dated 2017-02-21

Title: Fitting the copCAR Regression Model for Discrete Areal Data
Description: Provides tools for fitting the copCAR (Hughes, 2015) <DOI:10.1080/10618600.2014.948178> regression model for discrete areal data. Three types of estimation are supported (continuous extension, composite marginal likelihood, and distributional transform), for three types of outcomes (Bernoulli, negative binomial, and Poisson).
Author: Emily Goren <emily.goren@gmail.com> and John Hughes <jphughesjr@gmail.com>
Maintainer: John Hughes <jphughesjr@gmail.com>

Diff between copCAR versions 2.0-1 dated 2017-02-21 and 2.0-2 dated 2017-03-14

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More information about copCAR at CRAN
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Package biomartr updated to version 0.4.0 with previous version 0.3.0 dated 2017-02-09

Title: Genomic Data Retrieval
Description: Perform metagenomic data retrieval and functional annotation retrieval. In detail, this package aims to provide users with a standardized way to automate genome, proteome, coding sequence ('CDS'), 'GFF', and metagenome retrieval from 'NCBI' and 'ENSEMBL' databases. Furthermore, an interface to the 'BioMart' database (Smedley et al. (2009) <doi:10.1186/1471-2164-10-22>) allows users to retrieve functional annotation for genomic loci. Users can download entire databases such as 'NCBI RefSeq' (Pruitt et al. (2007) <doi:10.1093/nar/gkl842>), 'NCBI nr', 'NCBI nt' and 'NCBI Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>) as well as 'ENSEMBL' and 'ENSEMBLGENOMES' with only one command.
Author: Hajk-Georg Drost
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>

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More information about biomartr at CRAN
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