Tue, 21 Jun 2016

Package quanteda updated to version 0.9.7-17 with previous version 0.9.7-16 dated 2016-06-20

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible toolset for for the management, processing, and quantitative analysis of textual data in R.
Author: Kenneth Benoit [aut, cre], Paul Nulty [aut], Kohei Watanabe [ctb], Benjamin Lauderdale [ctb], Adam Obeng [ctb], Pablo Barberá [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package MESS updated to version 0.4-3 with previous version 0.3-2 dated 2014-10-21

Title: Miscellaneous Esoteric Statistical Scripts
Description: A mixed collection of useful and semi-useful diverse statistical functions, some of which may even be referenced in The R Primer book.
Author: Claus Ekstrøm <claus@rprimer.dk>
Maintainer: Claus Ekstrøm <claus@rprimer.dk>

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Package fbroc updated to version 0.4.0 with previous version 0.3.1 dated 2015-10-12

Title: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves
Description: Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) and the partial area under the curve as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. On a typical desktop computer the time needed for the calculation of 100000 bootstrap replicates given 500 observations requires time on the order of magnitude of one second.
Author: Erik Peter [aut, cre]
Maintainer: Erik Peter <jerikpeter@googlemail.com>

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Package dfmta updated to version 1.3-4 with previous version 1.3-3 dated 2015-10-05

Title: Phase I/II Adaptive Dose-Finding Design for MTA
Description: Phase I/II adaptive dose-finding design for single-agent Molecularly Targeted Agent (MTA), according to the paper "Phase I/II Dose-Finding Design for Molecularly Targeted Agent: Plateau Determination using Adaptive Randomization" (in review).
Author: Marie-Karelle Riviere and Jacques-Henri Jourdan
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

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Package dfcomb updated to version 2.1-6 with previous version 2.1-5 dated 2015-10-05

Title: Phase I/II Adaptive Dose-Finding Design for Combination Studies
Description: Phase I/II adaptive dose-finding design for combination studies. Several methods are proposed depending on the type of combinations: (1) the combination of two cytotoxic agents, and (2) combination of a molecularly targeted agent with a cytotoxic agent.
Author: Marie-Karelle Riviere and Jacques-Henri Jourdan
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

Diff between dfcomb versions 2.1-5 dated 2015-10-05 and 2.1-6 dated 2016-06-21

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Package covr updated to version 2.1.0 with previous version 2.0.1 dated 2016-04-06

Title: Test Coverage for Packages
Description: Track and report code coverage for your package and (optionally) upload the results to a coverage service like Codecov (http://codecov.io) or Coveralls (http://coveralls.io). Code coverage is a measure of the amount of code being exercised by the tests. It is an indirect measure of test quality. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/Fortran code.
Author: Jim Hester [aut, cre]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package xergm updated to version 1.7.3 with previous version 1.7.0 dated 2016-02-21

Title: Extensions of Exponential Random Graph Models
Description: Extensions of Exponential Random Graph Models (ERGM): Temporal Exponential Random Graph Models (TERGM), Generalized Exponential Random Graph Models (GERGM), Temporal Network Autocorrelation Models (TNAM), and Relational Event Models (REM).
Author: Philip Leifeld [aut, cre], Skyler J. Cranmer [aut], Bruce A. Desmarais [aut]
Maintainer: Philip Leifeld <philip.leifeld@glasgow.ac.uk>

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Package sourceR updated to version 0.2.0 with previous version 0.1.0 dated 2016-04-21

Title: Fits a Non-Parametric Bayesian Source Attribution Model
Description: Implements a non-parametric source attribution model to attribute cases of disease to sources in Bayesian framework with source and type effects. Type effects are clustered using a Dirichlet Process. Multiple times and locations are supported.
Author: Poppy Miller [aut, cre], Chris Jewell [aut], Jonathan Marshall [aut], Nigel French [aut]
Maintainer: Poppy Miller <p.miller@lancaster.ac.uk>

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Package sos updated to version 1.3-9 with previous version 1.3-8 dated 2013-09-25

Title: Search Contributed R Packages, Sort by Package
Description: Search contributed R packages, sort by package.
Author: Spencer Graves, Sundar Dorai-Raj, and Romain Francois
Maintainer: Spencer Graves <spencer.graves@prodsyse.com>

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Package sjPlot updated to version 2.0.1 with previous version 2.0.0 dated 2016-05-18

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

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Package rrecsys updated to version 0.9.5.3 with previous version 0.9.5.1 dated 2016-06-14

Title: Environment for Assessing Recommender Systems
Description: Provides implementations of several popular recommendation systems. They can process standard recommendation datasets (user/item matrix) as input and generate rating predictions and recommendation lists. Standard algorithm implementations included in this package are: Global/Item/User-Average baselines, Item-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology for recommender systems using measures such as MAE, RMSE, Precision, Recall, AUC, NDCG, RankScore and coverage measures. The package is intended for rapid prototyping of recommendation algorithms and education purposes.
Author: Ludovik Çoba [aut, cre, cph], Markus Zanker [ctb]
Maintainer: Ludovik Çoba <lcoba@unishk.edu.al>

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Package msmtools updated to version 1.2 with previous version 1.1 dated 2016-05-04

Title: Building Augmented Data to Run Multi-State Models with 'msm' Package
Description: A fast and general method for restructuring classical longitudinal data into augmented ones. The reason for this is to facilitate the modeling of longitudinal data under a multi-state framework using the 'msm' package.
Author: Francesco Grossetti [aut, cre]
Maintainer: Francesco Grossetti <francesco.grossetti@polimi.it>

Diff between msmtools versions 1.1 dated 2016-05-04 and 1.2 dated 2016-06-21

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Package ldamatch updated to version 1.0.0 with previous version 0.6.3 dated 2015-08-26

Title: Selection of Statistically Similar Research Groups
Description: Select statistically similar research groups by backward selection using various robust algorithms, including a heuristic based on linear discriminant analysis, multiple heuristics based on the test statistic, and parallelized exhaustive search.
Author: Kyle Gorman [aut, cre], Geza Kiss [aut]
Maintainer: Kyle Gorman <kylebgorman@gmail.com>

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New package represtools with initial version 0.1.1
Package: represtools
Version: 0.1.1
Title: Reproducible Research Tools
Description: Reproducible research tools automates the creation of an analysis directory structure and work flow. There are R markdown skeletons which encapsulate typical analytic work flow steps. Functions will create appropriate modules which may pass data from one step to another.
Authors@R: person("Brian", "Fannin", email = "FanninQED@Yahoo.com", role = c("aut", "cre"))
Maintainer: Brian Fannin <FanninQED@Yahoo.com>
URL: http://pirategrunt.com/represtools
BugReports: https://github.com/PirateGrunt/represtools/issues
Depends: R (>= 3.2.0)
License: GPL (>= 3)
SystemRequirements: GNU make
LazyData: true
Imports: whisker
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-21 13:50:43 UTC; brian
Author: Brian Fannin [aut, cre]
Repository: CRAN
Date/Publication: 2016-06-21 17:42:48

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Package RChronoModel updated to version 0.2 with previous version 0.1 dated 2016-05-09

Title: Post-Processing of the Markov Chain Simulated by ChronoModel or Oxcal
Description: Provides a list of functions for the statistical analysis and the post-processing of the Markov Chains simulated by ChronoModel (see <http://www.chronomodel.fr> for more information). ChronoModel is a friendly software to construct a chronological model in a Bayesian framework. Its output is a sampled Markov chain from the posterior distribution of dates component the chronology. The functions can also be applied to the analyse of mcmc output generated by Oxcal software.
Author: Anne Philippe and Marie-Anne Vibet
Maintainer: Anne Philippe <anne.philippe@univ-nantes.fr>

Diff between RChronoModel versions 0.1 dated 2016-05-09 and 0.2 dated 2016-06-21

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Package pcadapt updated to version 3.0.2 with previous version 3.0.1 dated 2016-06-14

Title: Fast Principal Component Analysis for Outlier Detection
Description: Methods to detect genetic markers involved in biological adaptation. 'pcadapt' provides statistical tools for outlier detection based on Principal Component Analysis.
Author: Keurcien Luu, Michael G.B. Blum, Nicolas Duforet-Frebourg
Maintainer: Keurcien Luu <keurcien.luu@imag.fr>

Diff between pcadapt versions 3.0.1 dated 2016-06-14 and 3.0.2 dated 2016-06-21

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New package evclass with initial version 1.0.1
Package: evclass
Type: Package
Title: Evidential Distance-Based Classification
Version: 1.0.1
Date: 2016-06-21
Author: Thierry Denoeux
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>
Description: Different evidential distance-based classifiers, which provide outputs in the form of Dempster-Shafer mass functions. The methods are: the evidential K-nearest neighbor rule and the evidential neural network.
License: GPL-3
Depends: R (>= 3.1.0)
Imports: FNN
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-21 09:49:58 UTC; Thierry
Repository: CRAN
Date/Publication: 2016-06-21 17:42:52

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Package Bchron updated to version 4.2.2 with previous version 4.2.1 dated 2016-06-05

Title: Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level Rate Estimation, and Non-Parametric Phase Modelling
Description: Enables quick calibration of radiocarbon dates under various calibration curves (including user generated ones); Age-depth modelling as per the algorithm of Haslett and Parnell (2008); Relative sea level rate estimation incorporating time uncertainty in polynomial regression models; and non-parametric phase modelling via Gaussian mixtures as a means to determine the activity of a site (and as an alternative to the Oxcal function SUM). The package includes a vignette which can be accessed via the vignette.
Author: Andrew Parnell
Maintainer: Andrew Parnell <Andrew.Parnell@ucd.ie>

Diff between Bchron versions 4.2.1 dated 2016-06-05 and 4.2.2 dated 2016-06-21

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New package RMThreshold with initial version 1.0
Package: RMThreshold
Type: Package
Title: Signal-Noise Separation in Random Matrices by using Eigenvalue Spectrum Analysis
Version: 1.0
Date: 2016-06-03
Author: Uwe Menzel
Maintainer: Uwe Menzel <uwemenzel@gmail.com>
Description: An algorithm which can be used to determine an objective threshold for signal-noise separation in large random matrices (correlation matrices, mutual information matrices, network adjacency matrices) is provided. The package makes use of the results of Random Matrix Theory (RMT). The algorithm increments a suppositional threshold monotonically, thereby recording the eigenvalue spacing distribution of the matrix. According to RMT, that distribution undergoes a characteristic change when the threshold properly separates signal from noise. By using the algorithm, the modular structure of a matrix - or of the corresponding network - can be unraveled.
License: GPL
LazyLoad: yes
Imports: Matrix, png
NeedsCompilation: no
Packaged: 2016-06-21 08:46:04 UTC; meuw0001
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2016-06-21 11:00:16

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New package REPTILE with initial version 1.0
Package: REPTILE
Type: Package
Title: Regulatory DNA Element Prediction
Version: 1.0
Date: 2016-6-16
Author: Yupeng He
Description: Predicting regulatory DNA elements based on epigenomic signatures. This package is more of a set of building blocks than a direct solution. REPTILE regulatory prediction pipeline is built on this R package. See <https://github.com/yupenghe/REPTILE> for more information.
Maintainer: Yupeng He <yupeng.he.bioinfo@gmail.com>
URL: https://github.com/yupenghe/REPTILE
License: BSD_2_clause + file LICENSE
Depends: R (>= 3.2.2), foreach (>= 1.4.3), doParallel (>= 1.0.10)
Imports: optparse (>= 1.3.2), randomForest (>= 4.6-12), flux(>= 0.3-0)
NeedsCompilation: no
Packaged: 2016-06-21 06:36:30 UTC; yupeng
Repository: CRAN
Date/Publication: 2016-06-21 09:23:58

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Package labelled updated to version 0.2.3 with previous version 0.2.2 dated 2016-06-14

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'.
Author: Joseph Larmarange [aut, cre], Daniel Ludecke [ctb], Hadley Wickham [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between labelled versions 0.2.2 dated 2016-06-14 and 0.2.3 dated 2016-06-21

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Package goeveg updated to version 0.2.0 with previous version 0.1.6 dated 2016-06-14

Title: Functions for Community Data and Ordinations
Description: A collection of functions useful in (vegetation) community analyses and ordinations, mainly to facilitate plotting and interpretation. Includes automatic species selection for ordination diagrams, species response curves and rank-abundance curves.
Author: Friedemann Goral [aut, cre], Jenny Schellenberg [aut]
Maintainer: Friedemann Goral <fgoral@gwdg.de>

Diff between goeveg versions 0.1.6 dated 2016-06-14 and 0.2.0 dated 2016-06-21

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Package tnam updated to version 1.6.2 with previous version 1.6 dated 2015-12-14

Title: Temporal Network Autocorrelation Models (TNAM)
Description: Temporal and cross-sectional network autocorrelation models (TNAM).
Author: Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb]
Maintainer: Philip Leifeld <philip.leifeld@glasgow.ac.uk>

Diff between tnam versions 1.6 dated 2015-12-14 and 1.6.2 dated 2016-06-21

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Package texreg updated to version 1.36.7 with previous version 1.36.4 dated 2016-02-19

Title: Conversion of R Regression Output to LaTeX or HTML Tables
Description: Converts coefficients, standard errors, significance stars, and goodness-of-fit statistics of statistical models into LaTeX tables or HTML tables/MS Word documents or to nicely formatted screen output for the R console for easy model comparison. A list of several models can be combined in a single table. The output is highly customizable. New model types can be easily implemented.
Author: Philip Leifeld
Maintainer: Philip Leifeld <philip.leifeld@glasgow.ac.uk>

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New package simstudy with initial version 0.1.1
Package: simstudy
Type: Package
Title: Simulation of Study Data
Version: 0.1.1
Date: 2016-06-17
Authors@R: person("Keith", "Goldfeld", email = "Keith.Goldfeld@nyumc.org", role = c("aut","cre"))
Author: Keith Goldfeld [aut, cre]
Maintainer: Keith Goldfeld <Keith.Goldfeld@nyumc.org>
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Depends: R (>= 3.2.2), data.table
License: GPL-3
LazyData: TRUE
Imports: Rcpp, mvnfast
RoxygenNote: 5.0.1
Suggests: testthat, knitr, rmarkdown, ggplot2, scales, grid, gridExtra, survival
VignetteBuilder: knitr
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2016-06-20 19:08:27 UTC; goldfk01
Repository: CRAN
Date/Publication: 2016-06-21 08:32:43

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Package phangorn updated to version 2.0.4 with previous version 2.0.3 dated 2016-04-30

Title: Phylogenetic Analysis in R
Description: Phylogenetic analysis in R: Estimation of phylogenetic trees and networks using Maximum Likelihood, Maximum Parsimony, distance methods and Hadamard conjugation.
Author: Klaus Schliep [aut, cre], Emmanuel Paradis [aut], Alastair Potts [aut], Michelle Kendall [ctb]
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>

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 man/dist.hamming.Rd                        |    4 
 man/dist.p.Rd                              |    4 
 man/phangorn-package.Rd                    |    1 
 man/pml.Rd                                 |   26 +--
 man/pml.fit.Rd                             |    8 -
 man/treedist.Rd                            |   30 +++
 src/phangorn.c                             |  109 +------------
 tests/testthat/test_treeManipulation.R     |only
 tests/testthat/test_treedist.R             |   41 ++++-
 vignettes/phangorn-specials.Rnw            |    3 
 vignettes/phangorn.bib                     |   37 ++++
 45 files changed, 842 insertions(+), 731 deletions(-)

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New package osi with initial version 0.1.0
Package: osi
Type: Package
Title: Open Source Initiative API Connector
Version: 0.1.0
Author: Oliver Keyes
Date: 2016-06-20
BugReports: https://github.com/Ironholds/osi/issues
URL: https://github.com/Ironholds/osi/
Maintainer: Oliver Keyes <ironholds@gmail.com>
Description: A connector to the API maintained by the Open Source Initiative <https://api.opensource.org/licenses/>, which provides machine-readable metadata about a variety of open source software licenses.
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: httr
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-06-20 23:42:20 UTC; ironholds
Repository: CRAN
Date/Publication: 2016-06-21 08:32:38

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New package IRTpp with initial version 0.2.5
Package: IRTpp
Type: Package
Title: Estimating IRT Parameters using the IRT Methodology
Version: 0.2.5
Date: 2016-06-14
Author: SICS Research Group
Maintainer: Camilo Antonio Suarez Bolanos <caasuarezbo@unal.edu.co>
Description: An implementation of the IRT paradigm for the scoring of different instruments measuring latent traits (a.k.a Abilities) and estimating item parameters for a variety of models, this package is highly optimized using Rcpp and carefully written R for the rest of the package, it aims to expand IRT applications to those applications that require faster and more robust estimation procedures. See the IRTpp documentation and github site for more information and examples.
License: MIT + file LICENSE
LinkingTo: Rcpp
Imports: Rcpp (>= 0.11.0), mvtnorm, numDeriv, FactoMineR, MASS
Suggests: knitr, optimx
VignetteBuilder: knitr
URL: https://github.com/SICSResearch/IRTpp
BugReports: https://github.com/SICSResearch/IRTpp/issues
NeedsCompilation: no
Packaged: 2016-06-20 21:57:23 UTC; Camilo
RoxygenNote: 5.0.1
Repository: CRAN
Date/Publication: 2016-06-20 23:07:10

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Package emil updated to version 2.2.6 with previous version 2.2.3 dated 2015-11-19

Title: Evaluation of Modeling without Information Leakage
Description: A toolbox for designing and evaluating predictive models with resampling methods. The aim of this package is to provide a simple and efficient general framework for working with any type of prediction problem, be it classification, regression or survival analysis, that is easy to extend and adapt to your specific setting. Some commonly used methods for classification, regression and survival analysis are included.
Author: Christofer Backlin [aut, cre], Mats Gustafsson [aut]
Maintainer: Christofer Backlin <emil@christofer.backlin.se>

Diff between emil versions 2.2.3 dated 2015-11-19 and 2.2.6 dated 2016-06-21

 emil-2.2.3/emil/tests/test-all.r                  |only
 emil-2.2.6/emil/DESCRIPTION                       |   13 -
 emil-2.2.6/emil/MD5                               |  206 +++++++++++-----------
 emil-2.2.6/emil/NAMESPACE                         |    2 
 emil-2.2.6/emil/NEWS.md                           |    4 
 emil-2.2.6/emil/R/learning-curve.r                |    2 
 emil-2.2.6/emil/R/pamr.r                          |    7 
 emil-2.2.6/emil/R/preprocessing.r                 |    2 
 emil-2.2.6/emil/R/resampling.r                    |    9 
 emil-2.2.6/emil/R/survival.r                      |   83 ++++----
 emil-2.2.6/emil/man/as.modeling_procedure.Rd      |    2 
 emil-2.2.6/emil/man/dichotomize.Rd                |    2 
 emil-2.2.6/emil/man/error_fun.Rd                  |    2 
 emil-2.2.6/emil/man/evaluate.Rd                   |    2 
 emil-2.2.6/emil/man/factor_to_logical.Rd          |    8 
 emil-2.2.6/emil/man/fill.Rd                       |    2 
 emil-2.2.6/emil/man/fit.Rd                        |    2 
 emil-2.2.6/emil/man/fit_caret.Rd                  |    2 
 emil-2.2.6/emil/man/fit_cforest.Rd                |    2 
 emil-2.2.6/emil/man/fit_coxph.Rd                  |   23 +-
 emil-2.2.6/emil/man/fit_glmnet.Rd                 |    2 
 emil-2.2.6/emil/man/fit_lda.Rd                    |    2 
 emil-2.2.6/emil/man/fit_lm.Rd                     |    2 
 emil-2.2.6/emil/man/fit_naive_bayes.Rd            |    2 
 emil-2.2.6/emil/man/fit_pamr.Rd                   |    4 
 emil-2.2.6/emil/man/fit_qda.Rd                    |    2 
 emil-2.2.6/emil/man/fit_randomForest.Rd           |    2 
 emil-2.2.6/emil/man/fit_rpart.Rd                  |    2 
 emil-2.2.6/emil/man/fit_svm.Rd                    |    2 
 emil-2.2.6/emil/man/get_color.Rd                  |    2 
 emil-2.2.6/emil/man/get_importance.Rd             |    2 
 emil-2.2.6/emil/man/get_performance.Rd            |    2 
 emil-2.2.6/emil/man/get_prediction.Rd             |    2 
 emil-2.2.6/emil/man/get_response.Rd               |    2 
 emil-2.2.6/emil/man/get_tuning.Rd                 |    2 
 emil-2.2.6/emil/man/image.resample.Rd             |    2 
 emil-2.2.6/emil/man/importance_glmnet.Rd          |    2 
 emil-2.2.6/emil/man/importance_pamr.Rd            |    2 
 emil-2.2.6/emil/man/importance_randomForest.Rd    |    2 
 emil-2.2.6/emil/man/impute.Rd                     |    2 
 emil-2.2.6/emil/man/indent.Rd                     |    2 
 emil-2.2.6/emil/man/index_fit.Rd                  |    2 
 emil-2.2.6/emil/man/is_blank.Rd                   |    2 
 emil-2.2.6/emil/man/is_constant.Rd                |    2 
 emil-2.2.6/emil/man/is_multi_procedure.Rd         |    2 
 emil-2.2.6/emil/man/learning_curve.Rd             |    4 
 emil-2.2.6/emil/man/list_method.Rd                |    2 
 emil-2.2.6/emil/man/log_message.Rd                |    2 
 emil-2.2.6/emil/man/mode.Rd                       |    2 
 emil-2.2.6/emil/man/modeling_procedure.Rd         |   13 -
 emil-2.2.6/emil/man/na_index.Rd                   |    2 
 emil-2.2.6/emil/man/name_procedure.Rd             |    2 
 emil-2.2.6/emil/man/neg_gmpa.Rd                   |    2 
 emil-2.2.6/emil/man/nice_axis.Rd                  |    2 
 emil-2.2.6/emil/man/nice_box.Rd                   |    2 
 emil-2.2.6/emil/man/nice_require.Rd               |    2 
 emil-2.2.6/emil/man/notify_once.Rd                |    2 
 emil-2.2.6/emil/man/pipe.Rd                       |    2 
 emil-2.2.6/emil/man/plot.Surv.Rd                  |    2 
 emil-2.2.6/emil/man/plot.learning_curve.Rd        |    2 
 emil-2.2.6/emil/man/pre_factor_to_logical.Rd      |    4 
 emil-2.2.6/emil/man/pre_impute.Rd                 |    2 
 emil-2.2.6/emil/man/pre_impute_df.Rd              |    4 
 emil-2.2.6/emil/man/pre_impute_knn.Rd             |    8 
 emil-2.2.6/emil/man/pre_log_message.Rd            |    2 
 emil-2.2.6/emil/man/pre_pamr.Rd                   |    2 
 emil-2.2.6/emil/man/pre_process.Rd                |    4 
 emil-2.2.6/emil/man/predict.model.Rd              |    2 
 emil-2.2.6/emil/man/predict_caret.Rd              |    4 
 emil-2.2.6/emil/man/predict_cforest.Rd            |    2 
 emil-2.2.6/emil/man/predict_coxph.Rd              |    2 
 emil-2.2.6/emil/man/predict_glmnet.Rd             |    2 
 emil-2.2.6/emil/man/predict_lda.Rd                |    2 
 emil-2.2.6/emil/man/predict_lm.Rd                 |    2 
 emil-2.2.6/emil/man/predict_naive_bayes.Rd        |    2 
 emil-2.2.6/emil/man/predict_pamr.Rd               |    2 
 emil-2.2.6/emil/man/predict_qda.Rd                |    2 
 emil-2.2.6/emil/man/predict_randomForest.Rd       |    2 
 emil-2.2.6/emil/man/predict_rpart.Rd              |    2 
 emil-2.2.6/emil/man/predict_svm.Rd                |    2 
 emil-2.2.6/emil/man/print.preprocessed_data.Rd    |    2 
 emil-2.2.6/emil/man/pvalue.Rd                     |    2 
 emil-2.2.6/emil/man/pvalue.coxph.Rd               |    2 
 emil-2.2.6/emil/man/pvalue.crr.Rd                 |   21 +-
 emil-2.2.6/emil/man/pvalue.cuminc.Rd              |    2 
 emil-2.2.6/emil/man/pvalue.survdiff.Rd            |   19 +-
 emil-2.2.6/emil/man/resample.Rd                   |    2 
 emil-2.2.6/emil/man/roc_curve.Rd                  |    2 
 emil-2.2.6/emil/man/select.Rd                     |    4 
 emil-2.2.6/emil/man/subresample.Rd                |    2 
 emil-2.2.6/emil/man/subtree.Rd                    |    2 
 emil-2.2.6/emil/man/trivial_error_rate.Rd         |    2 
 emil-2.2.6/emil/man/tune.Rd                       |    2 
 emil-2.2.6/emil/man/validate_data.Rd              |    2 
 emil-2.2.6/emil/man/vlines.Rd                     |    2 
 emil-2.2.6/emil/man/weighted_error_rate.Rd        |    2 
 emil-2.2.6/emil/tests/testthat.R                  |only
 emil-2.2.6/emil/tests/testthat/test-cppfunction.r |    2 
 emil-2.2.6/emil/tests/testthat/test-extractors.r  |   11 -
 emil-2.2.6/emil/tests/testthat/test-helpers.r     |    7 
 emil-2.2.6/emil/tests/testthat/test-methods.r     |   33 ++-
 emil-2.2.6/emil/tests/testthat/test-modeling.r    |   48 ++---
 emil-2.2.6/emil/tests/testthat/test-preprocess.r  |  110 ++++++-----
 emil-2.2.6/emil/tests/testthat/test-procedure.r   |    6 
 emil-2.2.6/emil/tests/testthat/test-survival.r    |    4 
 105 files changed, 432 insertions(+), 383 deletions(-)

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New package difNLR with initial version 0.1.0
Package: difNLR
Type: Package
Title: Detection of Dichotomous Differential Item Functioning (DIF) by Non-Linear Regression Function
Version: 0.1.0
Date: 2016-05-23
Author: Adela Drabinova (CUNI, ICS CAS), Patricia Martinkova (ICS CAS) and Karel Zvara (CUNI)
Maintainer: Adela Drabinova <adela.drabinova@gmail.com>
Depends: R (>= 3.2.2), ggplot2, gridExtra, methods, stats
Description: Detection of differential item functioning among dichotomously scored items with non-linear regression procedure.
License: GPL-3
LazyData: no
NeedsCompilation: no
Packaged: 2016-06-21 06:25:05 UTC; drabinova
Repository: CRAN
Date/Publication: 2016-06-21 08:36:14

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