Thu, 04 May 2017

New package zeligverse with initial version 0.1.0
Package: zeligverse
Type: Package
Title: Easily Install and Load Stable Zelig Packages
Version: 0.1.0
Date: 2017-05-04
Authors@R: c( person("Christopher", "Gandrud", email = "zelig.zee@gmail.com", role = c("aut", "cre")) )
Description: Provides an easy way to load stable Core Zelig and ancillary Zelig packages.
License: GPL (>= 3)
Encoding: UTF-8
Imports: dplyr, purrr, rstudioapi, tibble, Zelig, ZeligChoice, ZeligEI
URL: https://github.com/IQSS/zeligverse
BugReports: https://github.com/IQSS/zeligverse/issues
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-05-04 17:21:08 UTC; cgandrud
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <zelig.zee@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-04 22:30:31 UTC

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Package wru updated to version 0.1-4 with previous version 0.1-3 dated 2017-04-14

Title: Who are You? Bayesian Prediction of Racial Category Using Surname and Geolocation
Description: Predicts individual race/ethnicity using surname, geolocation, and other attributes, such as gender and age. The method utilizes the Bayes' Rule to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2015) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" <DOI:10.1093/pan/mpw001>.
Author: Kabir Khanna [aut, cre], Kosuke Imai [aut, cre], Hubert Jin [ctb]
Maintainer: Kabir Khanna <kkhanna@princeton.edu>

Diff between wru versions 0.1-3 dated 2017-04-14 and 0.1-4 dated 2017-05-04

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Package RInside updated to version 0.2.14 with previous version 0.2.13 dated 2015-05-20

Title: C++ Classes to Embed R in C++ Applications
Description: C++ classes to embed R in C++ applications The 'RInside' packages makes it easier to have "R inside" your C++ application by providing a C++ wrapper class providing the R interpreter. As R itself is embedded into your application, a shared library build of R is required. This works on Linux, OS X and even on Windows provided you use the same tools used to build R itself. Numerous examples are provided in the eight subdirectories of the examples/ directory of the installed package: standard, mpi (for parallel computing) qt (showing how to embed 'RInside' inside a Qt GUI application), wt (showing how to build a "web-application" using the Wt toolkit), armadillo (for 'RInside' use with 'RcppArmadillo') and eigen (for 'RInside' use with 'RcppEigen'). The example use GNUmakefile(s) with GNU extensions, so a GNU make is required (and will use the GNUmakefile automatically). Doxygen-generated documentation of the C++ classes is available at the 'RInside' website as well.
Author: Dirk Eddelbuettel and Romain Francois
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RInside versions 0.2.13 dated 2015-05-20 and 0.2.14 dated 2017-05-04

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Package logbin updated to version 2.0.3 with previous version 2.0.2 dated 2017-03-07

Title: Relative Risk Regression Using the Log-Binomial Model
Description: Methods for fitting log-link GLMs and GAMs to binomial data, including EM-type algorithms with more stable convergence properties than standard methods.
Author: Mark W. Donoghoe [aut, cre], Ian C. Marschner [ths], Alexandra C. Gillett [ctb] (wrote an initial version of the nplbin function)
Maintainer: Mark W. Donoghoe <markdonoghoe@gmail.com>

Diff between logbin versions 2.0.2 dated 2017-03-07 and 2.0.3 dated 2017-05-04

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Package healthcareai updated to version 0.1.12 with previous version 0.1.11 dated 2017-02-13

Title: Tools for Healthcare Machine Learning
Description: A machine learning toolbox tailored to healthcare data. Aids in data cleaning, model development, hyperparameter tuning, and model deployment in a production SQL environment. Algorithms currently supported are Lasso, Random Forest, and Linear Mixed Model.
Author: Levi Thatcher [aut, cre], Mike Mastanduno [aut], Taylor Miller [aut], Taylor Larsen [aut]
Maintainer: Levi Thatcher <levi.thatcher@healthcatalyst.com>

Diff between healthcareai versions 0.1.11 dated 2017-02-13 and 0.1.12 dated 2017-05-04

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Package FRK updated to version 0.1.3 with previous version 0.1.2 dated 2017-04-21

Title: Fixed Rank Kriging
Description: Fixed Rank Kriging is a tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach, discussed in Cressie and Johannesson (2008) <DOI:10.1111/j.1467-9868.2007.00633.x>, decomposes the field, and hence the covariance function, using a fixed set of n basis functions, where n is typically much smaller than the number of data points (or polygons) m. The method naturally allows for non-stationary, anisotropic covariance functions and the use of observations with varying support (with known error variance). The projected field is a key building block of the Spatial Random Effects (SRE) model, on which this package is based. The package FRK provides helper functions to model, fit, and predict using an SRE with relative ease.
Author: Andrew Zammit-Mangion [aut, cre], Timothy Davis [ctb], Patrick Amestoy [ctb], Iain Duff [ctb], John K. Reid [ctb]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

Diff between FRK versions 0.1.2 dated 2017-04-21 and 0.1.3 dated 2017-05-04

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Package codingMatrices updated to version 0.3.1 with previous version 0.3.0 dated 2017-04-18

Title: Alternative Factor Coding Matrices for Linear Model Formulae
Description: A collection of coding functions as alternatives to the standard functions in the stats package, which have names starting with 'contr.'. Their main advantage is that they provide a consistent method for defining marginal effects in factorial models. In a simple one-way ANOVA model the intercept term is always the simple average of the class means.
Author: Bill Venables
Maintainer: Bill Venables <Bill.Venables@gmail.com>

Diff between codingMatrices versions 0.3.0 dated 2017-04-18 and 0.3.1 dated 2017-05-04

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New package BHMSMAfMRI with initial version 1.1
Package: BHMSMAfMRI
Version: 1.1
Date: 2017-05-04
Title: Bayesian Hierarchical Multi-Subject Multiscale Analysis of Functional MRI Data
Authors@R: c(person("Nilotpal", "Sanyal", role = c("aut", "cre"), email = "nisanyal@ucsd.edu"), person("Marco A.R.", "Ferreira", role = "aut"))
Author: Nilotpal Sanyal [aut, cre], Marco A.R. Ferreira [aut]
Maintainer: Nilotpal Sanyal <nisanyal@ucsd.edu>
Depends: fmri, AnalyzeFMRI, wavethresh, compiler
Suggests: knitr
VignetteBuilder: knitr
Description: Performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) <DOI:10.1016/j.neuroimage.2012.08.041> using wavelet based prior that borrows strength across subjects and returns posterior smoothed versions of the fMRI data and samples from the posterior distribution.
License: GPL (>= 2)
URL: https://www.r-project.org
NeedsCompilation: no
Packaged: 2017-05-04 23:49:58 UTC; nilotpalsanyal
Repository: CRAN
Date/Publication: 2017-05-05 03:16:11 UTC

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New package anMC with initial version 0.1.0
Package: anMC
Type: Package
Title: Compute High Dimensional Orthant Probabilities
Version: 0.1.0
Author: Dario Azzimonti
Date: 2017-05-01
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>
Description: Computationally efficient method to estimate orthant probabilities of high-dimensional Gaussian vectors. Further implements a function to compute conservative estimates of excursion sets under Gaussian random field priors.
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
Depends: mvtnorm
Imports: microbenchmark, Rcpp (>= 0.11.1)
Suggests: DiceKriging, TruncatedNormal, tmg
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-05-01 19:10:43 UTC; darioazzimonti
Repository: CRAN
Date/Publication: 2017-05-04 22:35:01 UTC

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Package ivmodel updated to version 1.6 with previous version 1.2 dated 2016-05-09

Title: Statistical Inference and Sensitivity Analysis for Instrumental Variables Model
Description: Contains functions for carrying out instrumental variable estimation of causal effects, including power analysis, sensitivity analysis, and diagnostics.
Author: Yang Jiang, Hyunseung Kang, and Dylan Small
Maintainer: Hyunseung Kang <hyunseung@stat.wisc.edu>

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Package EdSurvey updated to version 1.0.6 with previous version 1.0.5 dated 2017-04-26

Title: Education Survey
Description: Read in and analysis functions for education surveys and assessments data from the National Center for Education Statistics (NCES) <https://nces.ed.gov/>, including the National Assessment of Educational Progress (NAEP) data <https://nces.ed.gov/nationsreportcard/>.
Author: Paul Bailey [aut, cre], Ren C'deBaca [ctb], Ahmad Emad [aut], Huade Huo [aut], Michael Lee [aut], Qingshu Xie [aut], Jiao Yu [aut], Ting Zhang [aut]
Maintainer: Paul Bailey <pbailey@air.org>

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Package DataGraph updated to version 1.0.1 with previous version 1.0 dated 2017-05-03

Title: Export Data from R so DataGraph can Read it
Description: Functions to save either '.dtable' or '.dtbin' files that can be read by DataGraph, a graphing and analysis application for macOS. Can save a data frame, collection of data frames and sequences of data frames and individual vectors. For more information see <https://www.visualdatatools.com/DataGraph/Help/DataFiles/R/index.html>.
Author: David Adalsteinsson
Maintainer: David Adalsteinsson <david@visualdatatools.com>

Diff between DataGraph versions 1.0 dated 2017-05-03 and 1.0.1 dated 2017-05-04

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Package corpus updated to version 0.3.0 with previous version 0.2-0 dated 2017-04-16

Title: Text Corpus Analysis
Description: Text corpus data analysis, with full support for UTF8-encoded Unicode text. The package provides the ability to seamlessly read and process text from large JSON files without holding all of the data in memory simultaneously.
Author: Patrick O. Perry [aut, cre], Martin Porter and Richard Boulton [ctb, cph] (Snowball), Unicode, Inc. [ctb, cph] (Unicode Character Database)
Maintainer: Patrick O. Perry <pperry@stern.nyu.edu>

Diff between corpus versions 0.2-0 dated 2017-04-16 and 0.3.0 dated 2017-05-04

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Permanent link

Package mboost updated to version 2.8-0 with previous version 2.7-0 dated 2016-11-23

Title: Model-Based Boosting
Description: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
Author: Torsten Hothorn [aut], Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut, cre], Fabian Sobotka [ctb], Fabian Scheipl [ctb], Andreas Mayr [ctb]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>

Diff between mboost versions 2.7-0 dated 2016-11-23 and 2.8-0 dated 2017-05-04

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More information about mboost at CRAN
Permanent link

Package x13binary updated to version 1.1.39-1 with previous version 0.1.2 dated 2016-03-14

Title: Provide the 'x13ashtml' Seasonal Adjustment Binary
Description: The US Census Bureau provides a seasonal adjustment program now called 'X-13ARIMA-SEATS' building on both earlier programs called X-11 and X-12 as well as the SEATS program by the Bank of Spain. The US Census Bureau offers both source and binary versions -- which this package integrates for use by other R packages.
Author: Dirk Eddelbuettel and Christoph Sax
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between x13binary versions 0.1.2 dated 2016-03-14 and 1.1.39-1 dated 2017-05-04

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More information about x13binary at CRAN
Permanent link

Package rlas updated to version 1.1.2 with previous version 1.1.1 dated 2017-03-15

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.3.
Author: Jean-Romain Roussel [aut, cre, cph], Martin Isenburg [cph] (Is the author of the LASlib and LASzip libraries), David Auty [ctb] (Reviewed the documentation), Pierrick Marie [ctb] (Helped to compile LASlib code in R), Florian De Boissieu [ctb] (Enable support of .lax file)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between rlas versions 1.1.1 dated 2017-03-15 and 1.1.2 dated 2017-05-04

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Permanent link

New package ROpenDota with initial version 0.1.0
Package: ROpenDota
Type: Package
Title: Access OpenDota Services in R
Version: 0.1.0
Authors@R: person("Rosdyana", "Kusuma", email = "rosdyana.kusuma@gmail.com", role = c("aut", "cre"))
URL: https://github.com/rosdyana/ROpenDota
Depends: R (>= 3.2.0)
Imports: RCurl, jsonlite
Maintainer: Rosdyana Kusuma <rosdyana.kusuma@gmail.com>
Description: Provides a client for the API of OpenDota. OpenDota is a web service which is provide DOTA2 real time data. Data is collected through the Steam WebAPI. With ROpenDota you can easily grab the latest DOTA2 statistics in R programming such as latest match on official international competition, analyzing your or enemy performance to learn their strategies,etc. Please see <https://github.com/rosdyana/ROpenDota> for more information.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-04 17:00:14 UTC; ros
Author: Rosdyana Kusuma [aut, cre]
Repository: CRAN
Date/Publication: 2017-05-04 17:41:01 UTC

More information about ROpenDota at CRAN
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New package PairwiseD with initial version 0.9.58
Package: PairwiseD
Type: Package
Title: Pairing Up Units and Vectors in Panel Data Setting
Version: 0.9.58
Author: Krzysztof Beck, Marcin Stryjek
Maintainer: Marcin Stryjek <pairwised@post.pl>
Description: Pairing observations according to a chosen formula and facilitates bilateral analysis of the panel data. Paring is possible for observations, as well as for vectors of observations ordered with respect to time.
Depends: xlsx, openxlsx, utils
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-04 17:12:35 UTC; marcin
Repository: CRAN
Date/Publication: 2017-05-04 17:41:02 UTC

More information about PairwiseD at CRAN
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Package CHNOSZ updated to version 1.1.0 with previous version 1.0.8 dated 2016-05-28

Title: Chemical Thermodynamics and Activity Diagrams
Description: An integrated set of tools for thermodynamic calculations in compositional biology and geochemistry. Thermodynamic properties are taken from a database for minerals and inorganic and organic aqueous species including biomolecules, or from amino acid group additivity for proteins. High-temperature properties are calculated using the revised Helgeson-Kirkham-Flowers equations of state for aqueous species. Functions are provided to define a system using basis species, automatically balance reactions, calculate the chemical affinities of reactions for selected species, and plot the results on potential diagrams or equilibrium activity diagrams. Experimental features are available to calculate activity coefficients for aqueous species or for multidimensional optimization of thermodynamic variables using an objective function.
Author: Jeffrey Dick
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

Diff between CHNOSZ versions 1.0.8 dated 2016-05-28 and 1.1.0 dated 2017-05-04

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Package philentropy updated to version 0.0.2 with previous version 0.0.1 dated 2017-04-25

Title: Similarity and Distance Quantification Between Probability Functions
Description: Computes 46 optimized distance and similarity measures for comparing probability functions. These comparisons between probability functions have their foundations in a broad range of scientific disciplines from mathematics to ecology. The aim of this package is to provide a core framework for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks that are based on comparing univariate or multivariate probability functions.
Author: Hajk-Georg Drost
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>

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Package PBD updated to version 1.4 with previous version 1.3 dated 2017-04-29

Title: Protracted Birth-Death Model of Diversification
Description: Conducts maximum likelihood analysis and simulation of the protracted birth-death model of diversification. See Etienne, R.S. & J. Rosindell 2012 <doi:10.1093/sysbio/syr091>; Lambert, A., H. Morlon & R.S. Etienne 2014, <doi:10.1007/s00285-014-0767-x>; Etienne, R.S., H. Morlon & A. Lambert 2014, <doi:10.1111/evo.12433>.
Author: Rampal S. Etienne
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

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Package icesSAG updated to version 1.3-1 with previous version 1.3-0 dated 2017-04-30

Title: Stock Assessment Graphs Database Web Services
Description: R interface to access the web services of the ICES Stock Assessment Graphs database <http://sg.ices.dk>.
Author: Colin Millar [aut, cre], Scott Large [aut], Arni Magnusson [aut], Carlos Pinto [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>

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Package FFTrees updated to version 1.2.3 with previous version 1.2.2 dated 2017-04-18

Title: Generate, Visualise, and Compare Fast and Frugal Decision Trees
Description: Create, visualise, and test fast and frugal decision trees (FFTrees). FFTrees are very simple decision trees for classifying cases (i.e.; breast cancer patients) into one of two classes (e.g.; no cancer vs. true cancer) based on a small number of cues (e.g.; test results). FFTrees can be preferable to more complex algorithms because they are easy to communicate, require very little information, and are robust against overfitting.
Author: Nathaniel Phillips [aut, cre]
Maintainer: Nathaniel Phillips <Nathaniel.D.Phillips.is@gmail.com>

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Package covafillr updated to version 0.4.1 with previous version 0.4.0 dated 2017-02-16

Title: Local Polynomial Regression of State Dependent Covariates in State-Space Models
Description: Facilitates local polynomial regression for state dependent covariates in state-space models. The functionality can also be used from 'C++' based model builder tools such as 'Rcpp'/'inline', 'TMB', or 'JAGS'.
Author: Christoffer Moesgaard Albertsen [aut, cre]
Maintainer: Christoffer Moesgaard Albertsen <cmoe@aqua.dtu.dk>

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New package ContourFunctions with initial version 0.1.0
Package: ContourFunctions
Type: Package
Title: Create Contour Plots from Data or a Function
Version: 0.1.0
Authors@R: person("Collin", "Erickson", email = "collinberickson@gmail.com", role = c("aut", "cre"))
Description: Provides functions for making contour plots. The contour plot can be created from grid data, a function, or a data set. If non-grid data is given, then a Gaussian process is fit to the data and used to create the contour plot.
License: GPL-3
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, mlegp, laGP
VignetteBuilder: knitr
URL: https://github.com/CollinErickson/contour
NeedsCompilation: no
Packaged: 2017-05-04 12:30:33 UTC; cbe117
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-04 16:22:19 UTC

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Package seasonalview updated to version 0.3 with previous version 0.2 dated 2017-02-11

Title: Graphical User Interface for Seasonal Adjustment
Description: A graphical user interface to the 'seasonal' package and 'X-13ARIMA-SEATS', the U.S. Census Bureau's seasonal adjustment software. Unifies the code base of <http://www.seasonal.website> and the GUI in the 'seasonal' package.
Author: Christoph Sax
Maintainer: Christoph Sax <christoph.sax@gmail.com>

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Package RIA updated to version 1.0.1 with previous version 1.0.0 dated 2017-03-19

Title: Radiomics Image Analysis Toolbox for Grayscale Images
Description: Radiomics image analysis toolbox for grayscale 2D and 3D images. RIA calculates first-order, gray level co-occurrence matrix, gray level run length matrix and geometry-based statistics. Almost all calculations are done using vectorized formulas to optimize run speeds. Calculation of several thousands of parameters only takes minutes on a single core of a conventional PC.
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <marton.kolossvary@cirg.hu>

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Package PTXQC updated to version 0.82.5 with previous version 0.82.3 dated 2017-04-03

Title: Quality Report Generation for MaxQuant Results
Description: Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS data analyzed with the MaxQuant software suite (see <http://www.maxquant.org>). Reports are customizable (target thresholds, subsetting) and available in HTML or PDF format. Published in J. Proteome Res., Proteomics Quality Control: Quality Control Software for MaxQuant Results (2015) <doi:10.1021/acs.jproteome.5b00780>.
Author: Chris Bielow <chris.bielow@fu-berlin.de>
Maintainer: Chris Bielow <chris.bielow@fu-berlin.de>

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Package HIBPwned updated to version 0.1.4 with previous version 0.1.3 dated 2016-09-14

Title: Bindings for the 'HaveIBeenPwned.com' Data Breach API
Description: Utilising the 'Have I been pwned?' API (see <https://haveibeenpwned.com/API/v2> for more information), check whether email addresses and/or user names have been present in a publicly disclosed data breach.
Author: Steph Locke [aut, cre], Troy Hunt [aut] (HaveIBeenPwned.com)
Maintainer: Steph Locke <stephanie.g.locke@gmail.com>

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Package ecoseries updated to version 0.1.3 with previous version 0.1.2 dated 2017-04-27

Title: An R Interface to Brazilian Central Bank and Sidra APIs and the IPEA Data
Description: Creates an R interface to the Bacen <http://api.bcb.gov.br/> and Sidra <http://api.sidra.ibge.gov.br> APIs and IPEA data <http://www.ipeadata.gov.br/Default.aspx>.
Author: Fernando Teixeira [aut, cre], Jonatha Azevedo [aut]
Maintainer: Fernando Teixeira <fernando.teixeira@fgv.br>

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Package dimRed updated to version 0.1.0 with previous version 0.0.3 dated 2017-01-19

Title: A Framework for Dimensionality Reduction
Description: A collection of dimensionality reduction techniques from R packages and provides a common interface for calling the methods.
Author: Guido Kraemer [aut, cre]
Maintainer: Guido Kraemer <gkraemer@bgc-jena.mpg.de>

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Package CovSelHigh updated to version 1.1.0 with previous version 1.0.0 dated 2016-04-26

Title: Model-Free Covariate Selection in High Dimensions
Description: Model-free selection of covariates in high dimensions under unconfoundedness for situations where the parameter of interest is an average causal effect. This package is based on model-free backward elimination algorithms proposed in de Luna, Waernbaum and Richardson (2011) <DOI:10.1093/biomet/asr041> and VanderWeele and Shpitser (2011) <DOI:10.1111/j.1541-0420.2011.01619.x>. Confounder selection can be performed via either Markov/Bayesian networks, random forests or LASSO.
Author: Jenny Häggström
Maintainer: Jenny Häggström <jenny.haggstrom@umu.se>

Diff between CovSelHigh versions 1.0.0 dated 2016-04-26 and 1.1.0 dated 2017-05-04

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Package brant updated to version 0.1-3 with previous version 0.1-0 dated 2017-03-18

Title: Test for Parallel Regression Assumption
Description: Tests the parallel regression assumption for ordinal logit models generated with the function polr() from the package 'MASS'.
Author: Benjamin Schlegel [aut,cre], Marco Steenbergen [aut]
Maintainer: Benjamin Schlegel <kontakt@benjaminschlegel.ch>

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Package bootnet updated to version 1.0.0 with previous version 0.4 dated 2017-01-17

Title: Bootstrap Methods for Various Network Estimation Routines
Description: Bootstrap methods to assess accuracy and stability of estimated network structures and centrality indices. Allows for flexible specification of any undirected network estimation procedure in R, and offers default sets for 'qgraph', 'IsingFit', 'IsingSampler', 'glasso', 'huge' and 'parcor' packages.
Author: Sacha Epskamp and Eiko I. Fried
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package multigraph updated to version 0.60 with previous version 0.50 dated 2017-01-24

Title: Plot and Manipulate Multigraphs
Description: Functions to plot and manipulate multigraphs, weighted multigraphs, and bipartite graphs with different layout options.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

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New package EMCC with initial version 1.3
Package: EMCC
Type: Package
Title: Evolutionary Monte Carlo (EMC) Methods for Clustering
Version: 1.3
Date: 2017-05-01
Author: Gopi Goswami <goswami@stat.harvard.edu>
Maintainer: Gopi Goswami <grgoswami@gmail.com>
Depends: R (>= 1.9.0), MASS, mclust, EMC
Description: Evolutionary Monte Carlo methods for clustering, temperature ladder construction and placement. This package implements methods introduced in Goswami, Liu and Wong (2007) <doi:10.1198/106186007X255072>. The paper above introduced probabilistic genetic-algorithm-style crossover moves for clustering. The paper applied the algorithm to several clustering problems including Bernoulli clustering, biological sequence motif clustering, BIC based variable selection, mixture of Normals clustering, and showed that the proposed algorithm performed better both as a sampler and as a stochastic optimizer than the existing tools, namely, Gibbs sampling, ``split-merge'' Metropolis-Hastings algorithm, K-means clustering, and the MCLUST algorithm (in the package 'mclust').
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2017-05-04 00:38:14 UTC; gopi
Repository: CRAN
Date/Publication: 2017-05-04 09:46:43 UTC

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Package bife updated to version 0.3 with previous version 0.2 dated 2017-03-02

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

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Package wgeesel updated to version 1.2 with previous version 1.1 dated 2017-05-01

Title: Weighted Generalized Estimating Equations and Model Selection
Description: Weighted generalized estimating equations (WGEE) is an extension of generalized linear models to longitudinal clustered data by incorporating the correlation within-cluster when data is missing at random (MAR). The parameters in mean, scale correlation structures are estimated based on quasi-likelihood. Multiple model selection criterion are provided for selection of mean model and working correlation structure based on WGEE/GEE.
Author: Cong Xu <congxu17@gmail.com>, Zheng Li <zheng.li@outlook.com>, Ming Wang <mwang@phs.psu.edu>
Maintainer: Zheng Li <zheng.li@outlook.com>

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Package TideHarmonics updated to version 0.1-1 with previous version 0.1-0 dated 2015-12-25

Title: Harmonic Analysis of Tides
Description: Implements harmonic analysis of tidal and sea-level data. Over 400 harmonic tidal constituents can be estimated, all with daily nodal corrections. Time-varying mean sea-levels can also be used.
Author: Alec Stephenson.
Maintainer: Alec Stephenson <alec_stephenson@hotmail.com>

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Package REBayes updated to version 0.85 with previous version 0.73 dated 2016-11-13

Title: Empirical Bayes Estimation and Inference in R
Description: Kiefer-Wolfowitz maximum likelihood estimation for mixture models and some other density estimation and regression methods based on convex optimization.
Author: Roger Koenker [aut, cre], Jiaying Gu [ctb], Ivan Mizera [ctb]
Maintainer: Roger Koenker <rkoenker@uiuc.edu>

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Package mirt updated to version 1.24 with previous version 1.23 dated 2017-03-02

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

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Package DBEST updated to version 1.6 with previous version 1.5 dated 2017-03-31

Title: Detecting Breakpoints and Estimating Segments in Trend
Description: A program for analyzing vegetation time series, with two algorithms: 1) change detection algorithm that detects trend changes, determines their type (abrupt or non-abrupt), and estimates their timing, magnitude, number, and direction; 2) generalization algorithm that simplifies the temporal trend into main features. The user can set the number of major breakpoints or magnitude of greatest changes of interest for detection, and can control the generalization process by setting an additional parameter of generalization-percentage.
Author: Sadegh Jamali, Hristo Tomov
Maintainer: Hristo Tomov <tomov.hristo@gmail.com>

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Package tidyr updated to version 0.6.2 with previous version 0.6.1 dated 2017-01-10

Title: Easily Tidy Data with 'spread()' and 'gather()' Functions
Description: An evolution of 'reshape2'. It's designed specifically for data tidying (not general reshaping or aggregating) and works well with 'dplyr' data pipelines.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package REAT updated to version 1.3.2 with previous version 1.3.1 dated 2017-03-31

Title: Regional Economic Analysis Toolbox
Description: Collection of models and analysis methods used in regional and urban economics and (quantitative) economic geography, e.g. measures of inequality, regional disparities and convergence, regional specialization as well as accessibility and spatial interaction models.
Author: Thomas Wieland
Maintainer: Thomas Wieland <thomas.wieland.geo@googlemail.com>

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Package mirtCAT updated to version 1.5 with previous version 1.4 dated 2017-03-02

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

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Package LDcorSV updated to version 1.3.2 with previous version 1.3.1 dated 2013-07-04

Title: Linkage Disequilibrium Corrected by the Structure and the Relatedness
Description: Four measures of linkage disequilibrium are provided: the usual r^2 measure, the r^2_S measure (r^2 corrected by the structure sample), the r^2_V (r^2 corrected by the relatedness of genotyped individuals), the r^2_VS measure (r^2 corrected by both the relatedness of genotyped individuals and the structure of the sample).
Author: David Desrousseaux, Florian Sandron, Aurelie Siberchicot, Christine Cierco-Ayrolles and Brigitte Mangin
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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New package idar with initial version 1.0
Package: idar
Version: 1.0
Date: 2017-05-03
Title: Individual Diversity-Area Relationships
Author: Marcelino de la Cruz
Depends: spatstat, FD, picante, ape
Suggests: ecespa, vegan
Maintainer: Marcelino de la Cruz <marcelino.delacruz@urjc.es>
Description: Computes and tests individual (species, phylogenetic and functional) diversity-area relationships, i.e., how species-, phylogenetic- and functional-diversity varies with spatial scale around the individuals of some species in a community. See applications of these methods in Wiegand et al. (2007) <doi:10.1073/pnas.0705621104> or Chacon-Labella et al. (2016) <doi:10.1007/s00442-016-3547-z>.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2017-05-04 06:28:17 UTC; marcelino
Repository: CRAN
Date/Publication: 2017-05-04 07:22:30 UTC

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Package GSED updated to version 1.4 with previous version 1.3 dated 2017-03-24

Title: Group Sequential Enrichment Design
Description: Provides function to apply "Group sequential enrichment design incorporating subgroup selection" (GSED) method proposed by Magnusson and Turnbull (2013) <doi:10.1002/sim.5738>.
Author: Marie-Karelle Riviere
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

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Package gridSVG updated to version 1.5-1 with previous version 1.5-0 dated 2015-11-16

Title: Export 'grid' Graphics as SVG
Description: Functions to export graphics drawn with package grid to SVG format. Additional functions provide access to SVG features that are not available in standard R graphics, such as hyperlinks, animation, filters, masks, clipping paths, and gradient and pattern fills.
Author: Paul Murrell [cre, aut], Simon Potter [aut]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

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Package compHclust updated to version 1.0-3 with previous version 1.0-2 dated 2014-01-03

Title: Complementary Hierarchical Clustering
Description: Performs the complementary hierarchical clustering procedure and returns X' (the expected residual matrix) and a vector of the relative gene importances.
Author: Gen Nowak [aut, cre], Robert Tibshirani [aut]
Maintainer: Gen Nowak <gen.nowak@gmail.com>

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Package biglasso updated to version 1.3-6 with previous version 1.3-5 dated 2017-04-04

Title: Extending Lasso Model Fitting to Big Data
Description: Extend lasso and elastic-net model fitting for ultrahigh-dimensional, multi-gigabyte data sets that cannot be loaded into memory. It's much more memory- and computation-efficient as compared to existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing for very powerful big data analysis even with an ordinary laptop.
Author: Yaohui Zeng [aut,cre], Patrick Breheny [ctb]
Maintainer: Yaohui Zeng <yaohui-zeng@uiowa.edu>

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