Tue, 05 May 2015

Package sisVIVE updated to version 1.1 with previous version 1.0 dated 2014-10-17

Title: Some Invalid Some Valid Instrumental Variables Estimator
Description: Selects invalid instruments amongst a candidate of potentially bad instruments. The algorithm selects potentially invalid instruments and provides an estimate of the causal effect between exposure and outcome.
Author: Hyunseung Kang <khyuns@wharton.upenn.edu>
Maintainer: Hyunseung Kang <khyuns@wharton.upenn.edu>

Diff between sisVIVE versions 1.0 dated 2014-10-17 and 1.1 dated 2015-05-05

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New package rankdist with initial version 0.3.1
Package: rankdist
Type: Package
Title: Distance Based Ranking Models
Version: 0.3.1
Date: 2015-05-01
Author: Zhaozhi Qian
Maintainer: Zhaozhi Qian <qianzhaozhi@connect.hku.hk>
Description: Implements distance based probability models for ranking data. The supported distance metrics include Kendall distance and Weighted Kendall distance. Mixture models are also supported.
License: GPL (>= 2)
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.11.4), hash, optimx, methods
LinkingTo: Rcpp
LazyData: true
Suggests: testthat
Packaged: 2015-05-05 15:45:09 UTC; Steven
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-05-05 23:29:27

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Package qmethod updated to version 1.3.1 with previous version 1.3.0 dated 2015-03-30

Title: Analysis of Subjective Perspectives Using Q Methodology
Description: Analysis of Q methodology, used to identify distinct perspectives existing within a group. This methodology is used across social, health and environmental sciences to understand diversity of attitudes, discourses, or decision-making styles (for more information, see http://qmethod.org). A single function runs the full analysis. Each step can be run separately using the corresponding functions: for automatic flagging of Q-sorts (manual flagging is optional), for statement scores, for distinguishing and consensus statements, and for general characteristics of the factors. Additional functions are available to import and export data, to print and plot, to import raw data from individual *.CSV files, and to make printable cards. The package uses principal components and it allows manual or automatic flagging, a number of mathematical methods for rotation, and a number of correlation coefficients for the initial correlation matrix. See further details in the package documentation, and in the web pages below, which include a cookbook, guidelines for more advanced analysis (how to perform manual flagging or change the sign of factors), data management, and a beta graphical user interface for online and offline use.
Author: Aiora Zabala [aut, cre] (Main author), Maximilian Held [aut] (Author of additional data management functions)
Maintainer: Aiora Zabala <aiora.zabala@gmail.com>

Diff between qmethod versions 1.3.0 dated 2015-03-30 and 1.3.1 dated 2015-05-05

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Package eha updated to version 2.4-3 with previous version 2.4-2 dated 2014-12-17

Title: Event History Analysis
Description: Sampling of risk sets in Cox regression, selections in the Lexis diagram, bootstrapping. Parametric proportional hazards fitting with left truncation and right censoring for common families of distributions, piecewise constant hazards, and discrete models. AFT regression for left truncated and right censored data. Binary and Poisson regression for clustered data, fixed and random effects with bootstrapping.
Author: Göran Broström [aut, cre]
Maintainer: Göran Broström <goran.brostrom@umu.se>

Diff between eha versions 2.4-2 dated 2014-12-17 and 2.4-3 dated 2015-05-05

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Package biwavelet updated to version 0.17.10 with previous version 0.17.5 dated 2014-11-07

Title: Conduct Univariate and Bivariate Wavelet Analyses
Description: This is a port of the WTC MATLAB package written by Aslak Grinsted and the wavelet program written by Christopher Torrence and Gibert P. Compo. This package can be used to perform univariate and bivariate (cross-wavelet, wavelet coherence, wavelet clustering) analyses.
Author: Tarik C. Gouhier, Aslak Grinsted
Maintainer: Tarik C. Gouhier <tarik.gouhier@gmail.com>

Diff between biwavelet versions 0.17.5 dated 2014-11-07 and 0.17.10 dated 2015-05-05

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Package WaterML updated to version 1.0.0 with previous version 0.9.6 dated 2015-05-01

Title: Fetch and Analyze Data from WaterML or CUAHSI WaterOneFlow Web Service
Description: Lets you connect to any CUAHSI WaterOneFlow web service from any hydroserver. To see list of available hydroservers, see http://hiscentral.cuahsi.org. The package has five data download functions: GetServices(): show all public HydroServers from the HIS Central Catalog. GetVariables(): Show a data.frame with all variables on the server. GetSites(): Show a data.frame with all sites on the server. GetSiteInfo(): Show what variables, methods and quality control levels are available at the specific site. GetValues(): Given a site code, variable code, start time and endtime, fetch a data.frame of all the observation time series data values. The data.frame has two columns: time and DataValue. This function has an optional "daily" parameter, you can set daily="max", daily="min" or daily="mean" to get aggregated daily values. The package also has five data upload functions: AddSites(), AddVariables(), AddMethods(), AddSources(), and AddValues(). These functions can be used for uploading data to a HydroServer Lite ODM database via the JSON data upload web service interface.
Author: Jiri Kadlec [aut, cre]
Maintainer: Jiri Kadlec <jirikadlec2@gmail.com>

Diff between WaterML versions 0.9.6 dated 2015-05-01 and 1.0.0 dated 2015-05-05

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New package RPEnsemble with initial version 0.1
Package: RPEnsemble
Type: Package
Title: Random Projection Ensemble Classification
Version: 0.1
Date: 2015-05-05
Author: Timothy I. Cannings and Richard J. Samworth
Maintainer: Timothy I. Cannings <t.cannings@statslab.cam.ac.uk>
Description: Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2015) Random projection ensemble classification. http://arxiv.org/abs/1504.04595". The random projection ensemble classifier is a very general method for classification of high-dimensional data, based on careful combination of the results of applying an arbitrary base classifier to random projections of the feature vectors into a lower-dimensional space. The random projections are divided into non-overlapping blocks, and within each block the projection yielding the smallest estimate of the test error is selected. The random projection ensemble classifier then aggregates the results of applying the base classifier on the selected projections, with a data-driven voting threshold to determine the final assignment.
Depends: R (>= 3.0.0), MASS
Imports: class, parallel, stats
License: GPL-3
LazyLoad: Yes
URL: http://arxiv.org/abs/1504.04595, http://www.statslab.cam.ac.uk/~tc325/
NeedsCompilation: no
Packaged: 2015-05-05 08:35:40 UTC; tc325
Repository: CRAN
Date/Publication: 2015-05-05 17:32:05

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New package reGenotyper with initial version 1.2.0
Package: reGenotyper
Type: Package
Title: Detecting Mislabeled Samples in Genetic Data
Version: 1.2.0
Date: 2015-05-04
Author: Yang Li <yang.li@rug.nl>
Maintainer: Yang Li <yang.li@rug.nl>
Description: Detecting mislabeled samples in genetic data.
Depends: R (>= 3.0.1), gplots, zoo, methods, MatrixEQTL
License: GPL
NeedsCompilation: no
Packaged: 2015-05-04 14:18:24 UTC; Konrad
Repository: CRAN
Date/Publication: 2015-05-05 16:14:49

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Package qrng updated to version 0.0-2 with previous version 0.0-1 dated 2015-04-10

Title: (Randomized) Quasi-Random Number Generators
Description: Functionality for generating (randomized) quasi-random numbers in high dimensions.
Author: Marius Hofert [aut, cre], Christiane Lemieux [aut]
Maintainer: Marius Hofert <marius.hofert@uwaterloo.ca>

Diff between qrng versions 0.0-1 dated 2015-04-10 and 0.0-2 dated 2015-05-05

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Package PCovR updated to version 2.6 with previous version 2.5 dated 2014-07-16

Title: Principal Covariates Regression
Description: Analyzing regression data with many and/or highly collinear predictor variables, by simultaneously reducing the predictor variables to a limited number of components and regressing the criterion variables on these components. Several rotation options are provided in this package, as well as model selection options.
Author: Marlies Vervloet [aut, cre], Henk Kiers [aut], Eva Ceulemans [ctb]
Maintainer: Marlies Vervloet <marlies.vervloet@ppw.kuleuven.be>

Diff between PCovR versions 2.5 dated 2014-07-16 and 2.6 dated 2015-05-05

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Package numOSL updated to version 1.8 with previous version 1.7 dated 2014-10-04

Title: Numeric Routines for Optically Stimulated Luminescence Dating
Description: Package for optimizing regular numeric problems in optically stimulated luminescence dating, such as: equivalent dose calculation, annual dose rate determination, growth curve fitting, decay curve decomposition, fast-component equivalent dose estimation, statistical age models optimization, and statistical plots visualization.
Author: Peng Jun
Maintainer: Peng Jun <pengjun10@mails.ucas.ac.cn>

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New package NNTbiomarker with initial version 0.28
Package: NNTbiomarker
Type: Package
Title: Calculate Design Parameters for Biomarker Validation Studies
Version: 0.28
Date: 2015-05-05
Author: Roger Day
Maintainer: Roger Day <day01@pitt.edu>
Description: Helps a clinical trial team discuss the clinical goals of a well-defined biomarker with a diagnostic, staging, prognostic, or predictive purpose. From this discussion will come a statistical plan for a (non-randomized) validation trial. Both prospective and retrospective trials are supported. In a specific focused discussion, investigators should determine the range of "discomfort" for the NNT, number needed to treat. The meaning of the discomfort range, [NNTlower, NNTupper], is that within this range most physicians would feel discomfort either in treating or withholding treatment. A pair of NNT values bracketing that range, NNTpos and NNTneg, become the targets of the study's design. If the trial can demonstrate that a positive biomarker test yields an NNT less than NNTlower, and that a negative biomarker test yields an NNT less than NNTlower, then the biomarker may be useful for patients. A highlight of the package is visualization of a "contra-Bayes" theorem, which produces criteria for retrospective case-controls studies.
License: GPL-3
Imports: shiny, xtable, stringr
Collate: aaa.R ifVerboseCat.R sesp-pv-NNT.R achievable.se.sp.R binom.confint.R NNTintervals.R run.R
Suggests: knitr
VignetteBuilder: knitr
Packaged: 2015-05-05 04:07:44 UTC; Roger
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-05 16:14:37

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New package fbroc with initial version 0.1.0
Package: fbroc
Type: Package
Title: Fast Algorithms to Bootstrap ROC Curves
Version: 0.1.0
Date: 2015-04-29
Authors@R: c(person("Erik", "Peter", email = "jerikpeter@googlemail.com", role = c("aut", "cre")))
Description: Implements a very fast C++ algorithm to quickly bootstrap ROC Curves and derived performance metrics (e.g. AUC). You can also plot the results and calculate confidence intervals. Currently the calculation of 100000 bootstrap replicates for 500 observations takes about one second.
License: GPL-2
URL: http://github.com/erikpeter/fbroc
BugReports: http://github.com/erikpeter/fbroc/issues
Depends: R (>= 3.1.0), ggplot2
Imports: Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2015-05-05 12:52:17 UTC; Erik
Author: Erik Peter [aut, cre]
Maintainer: Erik Peter <jerikpeter@googlemail.com>
Repository: CRAN
Date/Publication: 2015-05-05 16:14:44

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Package Deriv updated to version 3.4 with previous version 3.2 dated 2015-04-07

Title: Symbolic Differentiation
Description: R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work.
Author: Andrew Clausen [aut], Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between Deriv versions 3.2 dated 2015-04-07 and 3.4 dated 2015-05-05

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Package vardpoor updated to version 0.3.0 with previous version 0.2.8 dated 2015-03-06

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearisation of several nonlinear population statistics (the ratio of two totals, weighted income percentile, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow, 1953), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y.G.). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>

Diff between vardpoor versions 0.2.8 dated 2015-03-06 and 0.3.0 dated 2015-05-05

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Package psychomix updated to version 1.1-2 with previous version 1.1-1 dated 2014-07-29

Title: Psychometric Mixture Models
Description: Psychometric mixture models based on 'flexmix' infrastructure. At the moment Rasch mixture models with different parameterizations of the score distribution (saturated vs. mean/variance specification) and Bradley-Terry mixture models are implemented. Both mixture models can be estimated with or without concomitant variables. See vignette('raschmix', package = 'psychomix') for details on the Rasch mixture models.
Author: Hannah Frick [aut, cre], Carolin Strobl [aut], Friedrich Leisch [aut], Achim Zeileis [aut]
Maintainer: Hannah Frick <h.frick@ucl.ac.uk>

Diff between psychomix versions 1.1-1 dated 2014-07-29 and 1.1-2 dated 2015-05-05

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Package abc updated to version 2.1 with previous version 2.0 dated 2014-07-11

Title: Tools for Approximate Bayesian Computation (ABC)
Description: Implements several ABC algorithms for performing parameter estimation, model selection, and goodness-of-fit. Cross-validation tools are also available for measuring the accuracy of ABC estimates, and to calculate the misclassification probabilities of different models.
Author: Csillery Katalin [aut], Lemaire Louisiane [aut], Francois Olivier [aut], Blum Michael [aut, cre]
Maintainer: Blum Michael <michael.blum@imag.fr>

Diff between abc versions 2.0 dated 2014-07-11 and 2.1 dated 2015-05-05

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New package abc.data with initial version 1.0
Package: abc.data
Type: Package
Title: Data Only: Tools for Approximate Bayesian Computation (ABC)
Version: 1.0
Date: 2015-05-04
Authors@R: c( person("Csillery", "Katalin", role = "aut", email="kati.csillery@gmail.com"), person("Lemaire", "Louisiane", role = "aut"), person("Francois", "Olivier", role = "aut"), person("Blum", "Michael", email = "michael.blum@imag.fr", role = c("aut", "cre")))
Depends: R (>= 2.10)
Description: Contains data which are used by functions of the 'abc' package.
Repository: CRAN
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2015-05-05 09:25:25 UTC; mblum
Author: Csillery Katalin [aut], Lemaire Louisiane [aut], Francois Olivier [aut], Blum Michael [aut, cre]
Maintainer: Blum Michael <michael.blum@imag.fr>
Date/Publication: 2015-05-05 11:34:13

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Package pROC updated to version 1.8 with previous version 1.7.3 dated 2014-06-13

Title: Display and Analyze ROC Curves
Description: Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
Author: Xavier Robin, Natacha Turck, Alexandre Hainard, Natalia Tiberti, Frédérique Lisacek, Jean-Charles Sanchez and Markus Müller.
Maintainer: Xavier Robin <robin@lindinglab.org>

Diff between pROC versions 1.7.3 dated 2014-06-13 and 1.8 dated 2015-05-05

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Package multimark updated to version 1.1.4 with previous version 1.1.3 dated 2015-04-16

Title: Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks
Description: Capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in 'multimark' combine encounter history data arising from two different non-invasive ``marks'', such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo.
Author: Brett T. McClintock [aut, cre], Acho Arnold [ctb, cph] (C original matrix library, https://github.com/najela/matrix.h), Barry Brown [ctb] (Fortran original ranlib library), James Lovato [ctb] (Fortran original ranlib library), John Burkardt [ctb] (C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib), Cleve Moler [ctb] (C original linpack library, http://www.kkant.net/geist/ranlib/)
Maintainer: Brett T. McClintock <brett.mcclintock@noaa.gov>

Diff between multimark versions 1.1.3 dated 2015-04-16 and 1.1.4 dated 2015-05-05

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New package hiertest with initial version 1.1
Package: hiertest
Title: Convex Hierarchical Testing of Interactions
Version: 1.1
Author: Jacob Bien, Noah Simon, and Rob Tibshirani
Maintainer: Jacob Bien <jbien@cornell.edu>
Description: Implementation of the convex hierarchical testing (CHT) procedure introduced in Bien, Simon, and Tibshirani (2015) Convex Hierarchical Testing of Interactions. Annals of Applied Statistics. Vol. 9, No. 1, 27-42.
Depends: R (>= 3.0.2)
License: GPL-3
LazyData: true
Packaged: 2015-05-05 04:57:41 UTC; jbien
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-05 07:53:06

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Package structSSI updated to version 1.1.1 with previous version 1.1 dated 2014-09-05

Title: Multiple Testing for Hypotheses with Hierarchical or Group Structure
Description: Performs multiple testing corrections that take specific structure of hypotheses into account.
Author: Kris Sankaran
Maintainer: Kris Sankaran <kriss1@stanford.edu>

Diff between structSSI versions 1.1 dated 2014-09-05 and 1.1.1 dated 2015-05-05

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Package SEERaBomb updated to version 2015.1 with previous version 2014.4.1 dated 2014-04-17

Title: SEER and Atomic Bomb Survivor Data Analysis Tools
Description: Creates SEER (Surveillance, Epidemiology and End Results) and A-bomb data binaries from ASCII sources and provides tools for estimating SEER second cancer risks.
Author: Tomas Radivoyevitch
Maintainer: Tomas Radivoyevitch <radivot@ccf.org>

Diff between SEERaBomb versions 2014.4.1 dated 2014-04-17 and 2015.1 dated 2015-05-05

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New package optifunset with initial version 1.0
Package: optifunset
Type: Package
Title: Set Options if Unset
Version: 1.0
Date: 2015-05-05
Author: Nicholas Hamilton
Maintainer: Nicholas Hamilton <n.hamilton@unsw.edu.au>
Description: A single function 'options.ifunset(...)' is contained herewith, which allows the user to set a global option ONLY if it is not already set. By this token, for package maintainers this function can be used in preference to the standard 'options(...)' function, making provision for THEIR end user to place 'options(...)' directives within their '.Rprofile' file, which will not be overridden at the point when a package is loaded.
License: GPL-2
Collate: 'onLoad.R' 'options-ifunset.R'
Packaged: 2015-05-05 04:22:25 UTC; nick
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-05 06:43:05

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Package mbbefd updated to version 0.7 with previous version 0.6.1 dated 2015-03-08

Title: Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling
Description: Distributions that are typically used for exposure rating in general insurance, in particular to price reinsurance contracts. The vignettes show code snippets to fit the distribution to empirical data.
Author: Giorgio Spedicato [aut, cre], Christophe Dutang [aut], Markus Gesmann [ctb]
Maintainer: Giorgio Spedicato <spedicato_giorgio@yahoo.it>

Diff between mbbefd versions 0.6.1 dated 2015-03-08 and 0.7 dated 2015-05-05

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New package manifestoR with initial version 0.9-12
Package: manifestoR
Title: Access and Process Data and Documents of the Manifesto Project
Date: 2015-05-04
Version: 0.9-12
Authors@R: c(person("Jirka", "Lewandowski", role = c("aut", "cre"), email = "jirka.lewandowski@wzb.eu"), person("Nicolas", "Merz", role = c("aut"), email = "nicolas.merz@wzb.eu"), person("Sven", "Regel", role = c("ctb"), email = "sven.regel@wzb.eu"), person("Pola", "Lehmann", role = c("ctb"), email = "pola.lehmann@wzb.eu"))
Description: Provides access to coded election programmes from the Manifesto Corpus and to the Manifesto Project's Main Dataset. The Manifesto Project (https://manifesto-project.wzb.eu) collects and analyses election programmes across time and space to measure the political preferences of parties. The Manifesto Corpus contains the collected and annotated election programmes in the Corpus format of the package 'tm' to enable easy use of text processing and text mining functionality. Specific functions for scaling of coded political texts are included.
Depends: R (>= 3.1.0), NLP (>= 0.1-3), tm (>= 0.6), dplyr (>= 0.4.1)
Imports: utils, httr (>= 0.3), jsonlite (>= 0.9.12), functional (>= 0.6)
Suggests: knitr, rmarkdown, testthat, R.rsp
VignetteBuilder: R.rsp
Collate: manifestoR-package.r globals.R cache.R db_api.R corpus.R manifesto.R codes.R scaling_general.R scaling_rile.R scaling_functions.R scaling_bootstrap.R renaming.R
License: GPL (>= 3)
URL: https://github.com/ManifestoProject/manifestoR, https://manifesto-project.wzb.eu/
BugReports: https://github.com/ManifestoProject/manifestoR/issues
LazyData: true
Packaged: 2015-05-04 14:58:04 UTC; manifesto
Author: Jirka Lewandowski [aut, cre], Nicolas Merz [aut], Sven Regel [ctb], Pola Lehmann [ctb]
Maintainer: Jirka Lewandowski <jirka.lewandowski@wzb.eu>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-05 06:18:46

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New package LocFDRPois with initial version 1.0.0
Package: LocFDRPois
Title: Functions for Performing Local FDR Estimation when Null and Alternative are Poisson
Version: 1.0.0
Authors@R: person("Kris", "Sankaran", , "kriss1@stanford.edu", role = c("aut", "cre"))
Description: The main idea of the Local FDR algorithm is to estimate both proportion of null observations and the ratio of null and alternative densities. In the case that there are many null observations, this can be done reliably, through maximum likelihood or generalized linear models. This package implements this in the case that the null and alternative densities are Poisson.
Depends: R (>= 3.1.2)
Imports: dplyr, ggplot2
License: GPL-2
LazyData: true
Suggests: knitr
VignetteBuilder: knitr
Packaged: 2015-05-05 04:23:44 UTC; krissankaran
Author: Kris Sankaran [aut, cre]
Maintainer: Kris Sankaran <kriss1@stanford.edu>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-05 06:43:01

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Package choroplethr updated to version 3.1.0 with previous version 3.0.0 dated 2015-03-16

Title: Simplify the Creation of Choropleth Maps in R
Description: Choropleths are thematic maps where geographic regions, such as states, are colored according to some metric, such as the number of people who live in that state. This package simplifies this process by 1. Providing ready-made functions for creating choropleths of common maps. 2. Providing data and API connections to interesting data sources for making choropleths. 3. Providing a framework for creating choropleths from arbitrary shapefiles. Please see the vignettes for more details.
Author: Ari Lamstein <arilamstein@gmail.com>[cre, aut], Brian P Johnson <brian@pjohnson.info> [ctb, frontend animation code]
Maintainer: Ari Lamstein <arilamstein@gmail.com>

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 man/df_pop_country.Rd                  |    2 
 man/df_pop_county.Rd                   |    2 
 man/df_pop_state.Rd                    |    2 
 man/df_president.Rd                    |    2 
 man/df_president_ts.Rd                 |    2 
 man/df_state_demographics.Rd           |only
 man/get_acs_data.Rd                    |    2 
 man/get_acs_df.Rd                      |    2 
 man/get_county_demographics.Rd         |only
 man/get_state_demographics.Rd          |only
 man/state_choropleth.Rd                |    2 
 man/state_choropleth_acs.Rd            |    2 
 man/zip_map.Rd                         |    2 
 46 files changed, 159 insertions(+), 91 deletions(-)

More information about choroplethr at CRAN
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New package biorxivr with initial version 0.1.0
Package: biorxivr
Type: Package
Title: Search and Download Papers from the bioRxiv Preprint Server
Version: 0.1.0
Date: 2015-04-15
Authors@R: c(person("Edmund", "Hart", role = c("aut","cre"), email = "edmund.m.hart@gmail.com"))
Maintainer: Edmund Hart <edmund.m.hart@gmail.com>
LazyLoad: yes
LazyData: yes
Description: The bioRxiv preprint server (http://www.biorxiv.org) is a website where scientists can post preprints of scholarly texts in biology. Users can search and download PDFs in bulk from the preprint server. The text of abstracts are stored as raw text within R, and PDFs can easily be saved and imported for text mining with packages such as 'tm'.
License: MIT + file LICENSE
Depends: XML
Suggests: knitr
VignetteBuilder: knitr
Packaged: 2015-04-23 15:58:57 UTC; edmundhart
Author: Edmund Hart [aut, cre]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-05-05 06:18:45

More information about biorxivr at CRAN
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