Wed, 24 May 2017

Package RGoogleFit updated to version 0.3.0 with previous version 0.2.0 dated 2016-09-20

Title: R Interface to Google Fit API
Description: Provides interface to Google Fit REST API v1 (see <https://developers.google.com/fit/rest/v1/reference/>).
Author: Marcin Szymanski
Maintainer: Marcin Szymanski <ms32035@gmail.com>

Diff between RGoogleFit versions 0.2.0 dated 2016-09-20 and 0.3.0 dated 2017-05-24

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Package RAMP updated to version 2.0.1 with previous version 1.9 dated 2016-12-18

Title: Regularized Generalized Linear Models with Interaction Effects
Description: Provides an efficient procedure for fitting the entire solution path for high-dimensional regularized quadratic generalized linear models with interactions effects under the strong or weak heredity constraint.
Author: Yang Feng, Ning Hao and Hao Helen Zhang
Maintainer: Yang Feng <yang.feng@columbia.edu>

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Package segmented updated to version 0.5-2.0 with previous version 0.5-1.4 dated 2015-11-04

Title: Regression Models with Break-Points / Change-Points Estimation
Description: Given a regression model, segmented `updates' the model by adding one or more segmented (i.e., piece-wise linear) relationships. Several variables with multiple breakpoints are allowed.
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package polmineR updated to version 0.7.3 with previous version 0.7.2 dated 2017-03-24

Title: Toolkit for Corpus Analysis
Description: Library for corpus analysis using the Corpus Workbench as an efficient back end for indexing and querying large corpora. The package offers functionality to flexibly create partitions and to carry out basic statistical operations (count, co-occurrences etc.). The original full text of documents can be reconstructed and inspected at any time. Beyond that, the package is intended to serve as an interface to packages implementing advanced statistical procedures. Respective data structures (document term matrices, term co- occurrence matrices etc.) can be created based on the indexed corpora.
Author: Andreas Blaette
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

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Package eechidna updated to version 1.1 with previous version 0.1 dated 2016-05-23

Title: Exploring Election and Census Highly Informative Data Nationally for Australia
Description: Data from the 2013 and 2016 Australian Federal Election (House of Representatives) and the 2011 Australian Census. Includes tools for visualizing and analysing the data. This package incorporates data that is copyright Commonwealth of Australia (Australian Electoral Commission) 2016.
Author: Di Cook [aut], Anthony Ebert [aut], Heike Hofmann [aut], Rob Hyndman [aut], Thomas Lumley [aut], Ben Marwick [aut, cre], Carson Sievert [aut], Mingzhu Sun [aut], Dilini Talagala [aut], Nicholas Tierney [aut], Nathaniel Tomasetti [aut], Earo Wang [aut], Fang Zhou [aut], Commonwealth of Australia AEC [cph]
Maintainer: Ben Marwick <benmarwick@gmail.com>

Diff between eechidna versions 0.1 dated 2016-05-23 and 1.1 dated 2017-05-24

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Package BDgraph updated to version 2.37 with previous version 2.36 dated 2017-04-28

Title: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Description: Provides statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889> and Mohammadi et al. (2017) <doi:10.1111/rssc.12171>. To speed up the computations, the BDMCMC sampling algorithms are implemented in parallel using OpenMP in C++.
Author: Abdolreza Mohammadi and Ernst Wit
Maintainer: Abdolreza Mohammadi <a.mohammadi@rug.nl>

Diff between BDgraph versions 2.36 dated 2017-04-28 and 2.37 dated 2017-05-24

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Package amen updated to version 1.3 with previous version 1.1 dated 2015-06-26

Title: Additive and Multiplicative Effects Models for Networks and Relational Data
Description: Analysis of dyadic network and relational data using additive and multiplicative effects (AME) models. The basic model includes regression terms, the covariance structure of the social relations model (Warner, Kenny and Stoto (1979) <DOI:10.1037/0022-3514.37.10.1742>, Wong (1982) <DOI:10.2307/2287296>), and multiplicative factor models (Hoff(2009) <DOI:10.1007/s10588-008-9040-4>). Four different link functions accommodate different relational data structures, including binary/network data (bin), normal relational data (nrm), ordinal relational data (ord) and data from fixed-rank nomination schemes (frn). Several of these link functions are discussed in Hoff, Fosdick, Volfovsky and Stovel (2013) <DOI:10.1017/nws.2013.17>. Development of this software was supported in part by NIH grant R01HD067509.
Author: Peter Hoff, Bailey Fosdick, Alex Volfovsky, Yanjun He
Maintainer: Peter Hoff <peter.hoff@duke.edu>

Diff between amen versions 1.1 dated 2015-06-26 and 1.3 dated 2017-05-24

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Package x.ent updated to version 1.1.7 with previous version 1.1.6 dated 2016-11-30

Title: eXtraction of ENTity
Description: Provides a tool for extracting information (entities and relations between them) in text datasets. It also emphasizes the results exploration with graphical displays. It is a rule-based system and works with hand-made dictionaries and local grammars defined by users. 'x.ent' uses parsing with Perl functions and JavaScript to define user preferences through a browser and R to display and support analysis of the results extracted. Local grammars are defined and compiled with the tool Unitex, a tool developed by University Paris Est that supports multiple languages. See ?xconfig for an introduction.
Author: Nicolas Turenne [aut], Tien T. Phan [aut, cre]
Maintainer: Tien T. Phan <phantien84@gmail.com>

Diff between x.ent versions 1.1.6 dated 2016-11-30 and 1.1.7 dated 2017-05-24

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Package wally updated to version 1.0.9 with previous version 1.0.8 dated 2017-05-17

Title: The Wally Calibration Plot for Risk Prediction Models
Description: A prediction model is calibrated if, roughly, for any percentage x we can expect that x subjects out of 100 experience the event among all subjects that have a predicted risk of x%. A calibration plot provides a simple, yet useful, way of assessing the calibration assumption. The Wally plot consists of a sequence of usual calibration plots. Among the plots contained within the sequence, one is the actual calibration plot which has been obtained from the data and the others are obtained from similar simulated data under the calibration assumption. It provides the investigator with a direct visual understanding of the shape and sampling variability that are common under the calibration assumption. The original calibration plot from the data is included randomly among the simulated calibration plots, similarly to a police lineup. If the original calibration plot is not easily identified then the calibration assumption is not contradicted by the data. The method handles the common situations in which the data contain censored observations and occurrences of competing events.
Author: Paul F Blanche <paulfblanche@gmail.com>, Thomas A. Gerds <tag@biostat.ku.dk>
Maintainer: Paul F. Blanche <paulfblanche@gmail.com>

Diff between wally versions 1.0.8 dated 2017-05-17 and 1.0.9 dated 2017-05-24

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Package TriadSim updated to version 0.1.1 with previous version 0.0.1 dated 2017-05-12

Title: Simulating Triad Genomewide Genotypes
Description: Simulate genotypes for case-parent triads, case-control, and quantitative trait samples with realistic linkage diequilibrium structure and allele frequency distribution. For studies of epistasis one can simulate models that involve specific SNPs at specific sets of loci, which we will refer to as "pathways". TriadSim generates genotype data by resampling triad genotypes from existing data. The details of the method is described in the manuscript under preparation "Simulating Autosomal Genotypes with Realistic Linkage Disequilibrium and a Spiked in Genetic Effect" Shi, M., Umbach, D.M., Wise A.S., Weinberg, C.R.
Author: Min Shi [aut, cre]
Maintainer: Min Shi <shi2@niehs.nih.gov>

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Package spant updated to version 0.2.0 with previous version 0.1.0 dated 2017-04-26

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data.
Author: Martin Wilson [cre, aut]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

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Package meta updated to version 4.8-2 with previous version 4.8-1 dated 2017-03-17

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp and Paule-Mandel method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression (if R package 'metafor' is installed); - generalised linear mixed models (if R packages 'metafor', 'lme4', 'numDeriv', and 'BiasedUrn' are installed).
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

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Package manipulateWidget updated to version 0.6.0 with previous version 0.5.1 dated 2017-01-27

Title: Add Even More Interactivity to Interactive Charts
Description: Like package 'manipulate' does for static graphics, this package helps to easily add controls like sliders, pickers, checkboxes, etc. that can be used to modify the input data or the parameters of an interactive chart created with package 'htmlwidgets'.
Author: Francois Guillem [aut, cre], RTE [cph], JJ Allaire [ctb]
Maintainer: Francois Guillem <francois.guillem@rte-france.com>

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Package jtools updated to version 0.4.5 with previous version 0.4.4 dated 2017-03-26

Title: Analysis and Presentation of Social Scientific Data
Description: This is a collection of tools that the author (Jacob) has written for the purpose of more efficiently understanding and sharing the results of (primarily) regression analyses. There are a number of functions focused specifically on the interpretation and presentation of interactions in linear models. Just about everything supports models from the survey package.
Author: Jacob A. Long [aut, cre]
Maintainer: Jacob A. Long <long.1377@osu.edu>

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Package antaresProcessing updated to version 0.10.2 with previous version 0.10.1 dated 2017-04-20

Title: Antares Results Processing
Description: Process results generated by Antares, a powerful software developed by RTE to simulate and study electric power systems (more information about Antares here: <https://antares.rte-france.com>). This package provides functions to create new columns like net load, load factors, upward and downward margins or to compute aggregated statistics like economic surpluses of consumers, producers and sectors.
Author: Francois Guillem [aut, cre], Jalal-Edine ZAWAM [ctb], RTE [cph]
Maintainer: Francois Guillem <francois.guillem@rte-france.com>

Diff between antaresProcessing versions 0.10.1 dated 2017-04-20 and 0.10.2 dated 2017-05-24

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Permanent link

Package sdcMicro updated to version 5.0.2 with previous version 5.0.1 dated 2017-03-14

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 rbcb updated to version 0.1.1 with previous version 0.1.0 dated 2017-03-22

Title: R Interface to Brazilian Central Bank Web Services
Description: The Brazilian Central Bank API delivers many datasets which regard economic activity, regional economy, international economy, public finances, credit indicators and many more. For more information please see <http://dadosabertos.bcb.gov.br/>. These datasets can be accessed through 'rbcb' functions and can be obtained in different data structures common to R ('tibble', 'data.frame', 'xts', ...).
Author: Wilson Freitas <wilson.freitas@gmail.com>
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>

Diff between rbcb versions 0.1.0 dated 2017-03-22 and 0.1.1 dated 2017-05-24

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Package funrar updated to version 1.1.0 with previous version 1.0.3 dated 2017-05-05

Title: Functional Rarity Indices Computation
Description: Computes functional rarity indices as proposed by Violle et al. (2017) <doi:10.1016/j.tree.2017.02.002>. Various indices can be computed using both regional and local information. Functional Rarity combines both the functional aspect of rarity as well as the extent aspect of rarity.
Author: Matthias Grenié [aut, cre], Pierre Denelle [aut], Caroline Tucker [aut]
Maintainer: Matthias Grenié <matthias.grenie@gmail.com>

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Package optiSel updated to version 0.9 with previous version 0.8.1 dated 2017-04-25

Title: Optimum Contribution Selection and Population Genetics
Description: A framework for the optimization of breeding programs via optimum contribution selection and mate allocation. An easy to use set of function for computation of optimum contributions of selection candidates, and of the population genetic parameters to be optimized. These parameters can be estimated using pedigree or genotype information, and include kinships, kinships at native haplotype segments, and breed composition of crossbred individuals. They are suitable for managing genetic diversity, removing introgressed genetic material, and accelerating genetic gain. Additionally, functions are provided for computing genetic contributions from ancestors, inbreeding coefficients, the native effective size, the native genome equivalent, pedigree completeness, and for preparing and plotting pedigrees.
Author: Robin Wellmann
Maintainer: Robin Wellmann <r.wellmann@uni-hohenheim.de>

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Package ARTP2 updated to version 0.9.32 with previous version 0.9.30 dated 2016-07-11

Title: Pathway and Gene-Level Association Test
Description: Pathway and gene level association test using raw data or summary statistics.
Author: Han Zhang, Bill Wheeler, Kai Yu, Yifan Yang, R Core Team
Maintainer: Han Zhang <han.zhang2@nih.gov>

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Package MBHdesign updated to version 1.0.63 with previous version 1.0.61 dated 2016-11-22

Title: Spatial Designs for Ecological and Environmental Surveys
Description: Provides spatially balanced designs from a set of (contiguous) potential sampling locations in a study region. Accommodates , without detrimental effects on spatial balance, sites that the researcher wishes to include in the survey for reasons other than the current randomisation (legacy sites).
Author: Scott D. Foster
Maintainer: Scott Foster <scott.foster@csiro.au>

Diff between MBHdesign versions 1.0.61 dated 2016-11-22 and 1.0.63 dated 2017-05-24

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Package sparseMVN updated to version 0.2.1 with previous version 0.2.0 dated 2015-02-05

Title: Multivariate Normal Functions for Sparse Covariance and Precision Matrices
Description: Computes multivariate normal (MVN) densities, and samples from MVN distributions, when the covariance or precision matrix is sparse.
Author: Michael Braun [aut, cre, cph]
Maintainer: Michael Braun <braunm@smu.edu>

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Package rscala updated to version 2.2.0 with previous version 2.1.1 dated 2017-05-11

Title: Bi-Directional Interface Between R and Scala with Callbacks
Description: The Scala <http://www.scala-lang.org/> interpreter is embedded in R and callbacks to R from the embedded interpreter are supported. Conversely, the R interpreter is embedded in Scala. Scala versions in the 2.10.x, 2.11.x, and 2.12.x series are supported.
Author: David B. Dahl [aut, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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 rscala-2.2.0/rscala/DESCRIPTION                     |    8 +--
 rscala-2.2.0/rscala/MD5                             |   18 +++---
 rscala-2.2.0/rscala/NEWS                            |   12 ++++
 rscala-2.2.0/rscala/R/rServer.R                     |    6 --
 rscala-2.2.0/rscala/R/scala.R                       |   52 +++++++++++---------
 rscala-2.2.0/rscala/inst/java/scala-2.10            |only
 rscala-2.2.0/rscala/inst/java/scala-2.11            |only
 rscala-2.2.0/rscala/inst/java/scala-2.12            |only
 rscala-2.2.0/rscala/java/rscala-sources.jar         |binary
 rscala-2.2.0/rscala/man/constructor.Rd              |   34 ++++++-------
 13 files changed, 75 insertions(+), 55 deletions(-)

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New package lans2r with initial version 1.0.5
Package: lans2r
Title: Work with Look at NanoSIMS Data in R
Description: R interface for working with nanometer scale secondary ion mass spectrometry (NanoSIMS) data exported from Look at NanoSIMS.
Version: 1.0.5
Authors@R: person("Sebastian", "Kopf", email = "sebastian.kopf@colorado.edu", role = c("aut", "cre"))
URL: https://github.com/KopfLab/lans2r
BugReports: https://github.com/KopfLab/lans2r/issues
Depends: R (>= 3.1)
Imports: dplyr, tidyr, reshape2, ggplot2, lazyeval, R.matlab
Suggests: testthat, rmarkdown, knitr, covr
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-24 00:25:43 UTC; sk
Author: Sebastian Kopf [aut, cre]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>
Repository: CRAN
Date/Publication: 2017-05-24 04:25:53 UTC

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Package kerndwd updated to version 2.0.0 with previous version 1.1.2 dated 2015-10-01

Title: Distance Weighted Discrimination (DWD) and Kernel Methods
Description: A novel implementation that solves the linear distance weighted discrimination and the kernel distance weighted discrimination.
Author: Boxiang Wang <boxiang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Maintainer: Boxiang Wang <boxiang@umn.edu>

Diff between kerndwd versions 1.1.2 dated 2015-10-01 and 2.0.0 dated 2017-05-24

 kerndwd-1.1.2/kerndwd/src/kdwd.f90           |only
 kerndwd-1.1.2/kerndwd/src/klum.f90           |only
 kerndwd-1.1.2/kerndwd/src/ldwd.f90           |only
 kerndwd-1.1.2/kerndwd/src/llum.f90           |only
 kerndwd-1.1.2/kerndwd/src/wkdwd.f90          |only
 kerndwd-1.1.2/kerndwd/src/wklum.f90          |only
 kerndwd-1.1.2/kerndwd/src/wldwd.f90          |only
 kerndwd-1.1.2/kerndwd/src/wllum.f90          |only
 kerndwd-2.0.0/kerndwd/DESCRIPTION            |   10 
 kerndwd-2.0.0/kerndwd/MD5                    |   42 -
 kerndwd-2.0.0/kerndwd/NAMESPACE              |   16 
 kerndwd-2.0.0/kerndwd/R/cv.kerndwd.R         |   47 -
 kerndwd-2.0.0/kerndwd/R/kerndwd.R            |  296 ----------
 kerndwd-2.0.0/kerndwd/R/kernels.R            |  773 ---------------------------
 kerndwd-2.0.0/kerndwd/R/predict.kerndwd.R    |    6 
 kerndwd-2.0.0/kerndwd/R/tunedwd.R            |only
 kerndwd-2.0.0/kerndwd/R/utilities.R          |   20 
 kerndwd-2.0.0/kerndwd/man/cv.kerndwd.Rd      |   20 
 kerndwd-2.0.0/kerndwd/man/dots.Rd            |   16 
 kerndwd-2.0.0/kerndwd/man/kerndwd-package.Rd |   15 
 kerndwd-2.0.0/kerndwd/man/kerndwd.Rd         |   58 --
 kerndwd-2.0.0/kerndwd/man/plot.cv.kerndwd.Rd |   10 
 kerndwd-2.0.0/kerndwd/man/plot.kerndwd.Rd    |    8 
 kerndwd-2.0.0/kerndwd/man/predict.kerndwd.Rd |   10 
 kerndwd-2.0.0/kerndwd/man/tunedwd.Rd         |only
 kerndwd-2.0.0/kerndwd/src/dwd.f90            |only
 kerndwd-2.0.0/kerndwd/src/gdwd.f90           |only
 kerndwd-2.0.0/kerndwd/src/init.c             |only
 kerndwd-2.0.0/kerndwd/src/wdwd.f90           |only
 29 files changed, 146 insertions(+), 1201 deletions(-)

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New package commonsMath with initial version 1.0.0
Package: commonsMath
Type: Package
Title: JAR Files of the Apache Commons Mathematics Library
Version: 1.0.0
Date: 2017-05-23
Description: Java JAR files for the Apache Commons Mathematics Library for use by users and other packages.
Authors@R: c(person(given="David B.",family="Dahl",role=c("cre"),email="dahl@stat.byu.edu"), person(given="The Apache Software Foundation",role=c("aut","cph")))
URL: https://github.com/dbdahl/commonsMath
BugReports: https://github.com/dbdahl/commonsMath/issues
Suggests: rscala (>= 2.1.1), rJava (>= 0.9-8)
License: Apache License 2.0 | file LICENSE
NeedsCompilation: no
Packaged: 2017-05-24 04:47:02 UTC; dahl
Author: David B. Dahl [cre], The Apache Software Foundation [aut, cph]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Repository: CRAN
Date/Publication: 2017-05-24 05:21:03 UTC

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New package brlrmr with initial version 0.1.0
Package: brlrmr
Title: Bias Reduction with Missing Binary Response
Version: 0.1.0
Date: 2016-11-23
Authors@R: c(person("Arnab", "Maity", email = "akumar@stat.tamu.edu", role = c("aut", "cre")), person("Vivek", "Pradhan", email = "vip296@mail.harvard.edu", role = "ctb"), person("Ujjwal", "Das", email = "ujjwal.das@iimu.ac.in", role = "ctb"))
Description: Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.
Depends: R (>= 2.10)
Imports: boot, brglm, MASS, profileModel, Rcpp, stats
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-05-23 22:32:51 UTC; SUDESHNA
Author: Arnab Maity [aut, cre], Vivek Pradhan [ctb], Ujjwal Das [ctb]
Maintainer: Arnab Maity <akumar@stat.tamu.edu>
Repository: CRAN
Date/Publication: 2017-05-24 04:27:44 UTC

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Package ITEMAN (with last version 1.0) was removed from CRAN

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

2015-10-08 1.0

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