Wed, 25 Apr 2018

Package rddapp updated to version 1.1.0 with previous version 1.0.0 dated 2018-01-25

Title: Regression Discontinuity Design Application
Description: Estimation of both single- and multiple-assignment Regression Discontinuity Designs (RDDs). Provides both parametric (global) and non-parametric (local) estimation choices for both sharp and fuzzy designs, along with power analysis and assumption checks. Introductions to the underlying logic and analysis of RDDs are in Thistlethwaite, D. L., Campbell, D. T. (1960) <doi:10.1037/h0044319> and Lee, D. S., Lemieux, T. (2010) <doi:10.1257/jel.48.2.281>.
Author: Ze Jin [aut], Wang Liao [aut], Irena Papst [aut], Wenyu Zhang [aut], Felix Thoemmes [aut, cre], Drew Dimmery [ctb] (Implementation of functions in R package rdd), Bastiaan Quast [ctb] (Implementation of functions in R package rddtools), Matthieu Stigler [ctb] (Implementation of functions in R package rddtools)
Maintainer: Felix Thoemmes <fjt36@cornell.edu>

Diff between rddapp versions 1.0.0 dated 2018-01-25 and 1.1.0 dated 2018-04-25

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Package raw updated to version 0.1.6 with previous version 0.1.5 dated 2017-08-08

Title: R Actuarial Workshops
Description: In order to facilitate R instruction for actuaries, we have organized several sets of publicly available data of interest to non-life actuaries. In addition, we suggest a set of packages, which most practicing actuaries will use routinely. Finally, there is an R markdown skeleton for basic reserve analysis.
Author: Brian A. Fannin [aut, cre]
Maintainer: Brian A. Fannin <captain@PirateGrunt.com>

Diff between raw versions 0.1.5 dated 2017-08-08 and 0.1.6 dated 2018-04-25

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Package numOSL updated to version 2.4 with previous version 2.3 dated 2017-05-18

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, dose rate determination, growth curve fitting, decay curve decomposition, statistical age model optimization, and statistical plot visualization.
Author: Jun Peng [aut, cre], Bo Li [aut], Jorge More [ctb], Burton Garbow [ctb], Kenneth Hillstrom [ctb], John Burkardt [ctb], Paul Gilbert [ctb], Ravi Varadhan [ctb]
Maintainer: Jun Peng <pengjun10@mails.ucas.ac.cn>

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Package Jdmbs updated to version 1.2 with previous version 1.1 dated 2018-01-16

Title: Monte Carlo Option Pricing Algorithms for Jump Diffusion Models with Correlational Companies
Description: Black-Scholes model [Black (1973) <doi:10.1086/260062>] is important to calculate option prices in the stock market and a variety of improved models are studied. In this package, I propose methods in order to calculate both Black-Scholes model and Jump diffusion model [Kou (2002) <doi:10.1287/mnsc.48.8.1086.166>] by Monte Carlo methods. This package can be used for computational finance.
Author: Masashi Okada [aut, cre]
Maintainer: Masashi Okada <okadaalgorithm@gmail.com>

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Package enviGCMS updated to version 0.5.0 with previous version 0.3.4 dated 2017-07-10

Title: GC/LC-MS Data Analysis for Environmental Science
Description: Gas/Liquid Chromatography-Mass Spectrometer(GC/LC-MS) Data Analysis for Environmental Science. This package covered topics such as raw data process, molecular isotope ratio, matrix effects and Short-Chain Chlorinated Paraffins analysis etc. in environmental analysis.
Author: Miao YU [aut, cre] (<https://orcid.org/0000-0002-2804-6014>)
Maintainer: Miao YU <yufreecas@gmail.com>

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Package solvebio updated to version 2.5.0 with previous version 2.4.0 dated 2018-04-04

Title: The Official SolveBio API Client
Description: R language bindings for SolveBio's API. SolveBio is a biomedical knowledge hub that enables life science organizations to collect and harmonize the complex, disparate "multi-omic" data essential for today's R&D and BI needs. For more information, visit <https://www.solvebio.com>.
Author: David Caplan
Maintainer: David Caplan <dcaplan@solvebio.com>

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Package shinyLP updated to version 1.1.2 with previous version 1.1.1 dated 2018-03-28

Title: Bootstrap Landing Home Pages for Shiny Applications
Description: Provides functions that wrap HTML Bootstrap components code to enable the design and layout of informative landing home pages for Shiny applications. This can lead to a better user experience for the users and writing less HTML for the developer.
Author: Jasmine Dumas [aut, cre]
Maintainer: Jasmine Dumas <jasmine.dumas@gmail.com>

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Package dst updated to version 1.0.0 with previous version 0.3 dated 2015-01-13

Title: Using Dempster-Shafer Theory
Description: Using Dempster-Shafer Theory of Evidence, also called "Theory of Belief Functions". Basic probability assignments, or mass functions, can be defined on the subsets of a set of possible values. Two mass functions can be combined using Dempster's rule of combination. A mass function can be extended to a larger frame. Marginalization, i.e. reduction to a smaller frame can also be done. These features can be combined to analyze small belief networks and take into account situations where information cannot be satisfactorily described by probability distributions.
Author: Claude Boivin, Stat.ASSQ <webapp.cb@gmail.com>
Maintainer: Claude Boivin <webapp.cb@gmail.com>

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Package ManlyMix updated to version 0.1.14 with previous version 0.1.13 dated 2018-04-25

Title: Manly Mixture Modeling and Model-Based Clustering
Description: The utility of this package includes finite mixture modeling and model-based clustering through Manly mixture models by Zhu and Melnykov (2016) <DOI:10.1016/j.csda.2016.01.015>. It also provides capabilities for forward and backward model selection procedures.
Author: Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Michael Hutt [ctb, cph] (NM optimization in c), Stephen Moshier [ctb, cph] (eigen calculations in c), Rouben Rostamian [ctb, cph] (memory allocation in c)
Maintainer: Xuwen Zhu <xuwen.zhu@louisville.edu>

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Package gensvm updated to version 0.1.1 with previous version 0.1.0 dated 2018-04-19

Title: A Generalized Multiclass Support Vector Machine
Description: The GenSVM classifier is a generalized multiclass support vector machine (SVM). This classifier aims to find decision boundaries that separate the classes with as wide a margin as possible. In GenSVM, the loss function is very flexible in the way that misclassifications are penalized. This allows the user to tune the classifier to the dataset at hand and potentially obtain higher classification accuracy than alternative multiclass SVMs. Moreover, this flexibility means that GenSVM has a number of other multiclass SVMs as special cases. One of the other advantages of GenSVM is that it is trained in the primal space, allowing the use of warm starts during optimization. This means that for common tasks such as cross validation or repeated model fitting, GenSVM can be trained very quickly. Based on: G.J.J. van den Burg and P.J.F. Groenen (2018) <http://www.jmlr.org/papers/v17/14-526.html>.
Author: Gertjan van den Burg [aut, cre], Patrick Groenen [ctb]
Maintainer: Gertjan van den Burg <gertjanvandenburg@gmail.com>

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Package breathtestcore updated to version 0.4.1 with previous version 0.4.0 dated 2017-10-13

Title: Core Functions to Read and Fit 13c Time Series from Breath Tests
Description: Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'. See Bluck L J C and Coward W A 2006 <doi:10.1088/0967-3334/27/3/006>. Methods to fit breath test curves with Bayesian Stan methods are refactored to package 'breathteststan'. For a Shiny GUI, see package 'dmenne/breathtestshiny' on github.
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], Andreas Steingoetter [dtc], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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New package AdvDif4 with initial version 0.1.18
Package: AdvDif4
Type: Package
Title: Solving 1D Advection Bi-Flux Diffusion Equation
Version: 0.1.18
Author: Jader Lugon Junior, Pedro Paulo Gomes Watts Rodrigues, Luiz Bevilacqua, Diego Campos Knupp, Joao Flavio Vieira Vasconcellos and Antonio Jose da Silva Neto.
Maintainer: Jader Lugon Junior <jlugonjr@gmail.com>
Description: This software solves an Advection Bi-Flux Diffusive Problem using the Finite Difference Method FDM. Vasconcellos, J.F.V., Marinho, G.M., Zanni, J.H., 2016, Numerical analysis of an anomalous diffusion with a bimodal flux distribution. <doi:10.1016/j.rimni.2016.05.001>. Silva, L.G., Knupp, D.C., Bevilacqua, L., Galeao, A.C.N.R., Silva Neto, A.J., 2014, Formulation and solution of an Inverse Anomalous Diffusion Problem with Stochastic Techniques. <doi:10.5902/2179460X13184>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Repository: CRAN
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-25 14:09:26 UTC; Jader
Date/Publication: 2018-04-25 20:05:46 UTC

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Package SOR updated to version 0.23.1 with previous version 0.23.0 dated 2016-12-09

Title: Estimation using Sequential Offsetted Regression
Description: Estimation for longitudinal data following outcome dependent sampling using the sequential offsetted regression technique. Includes support for binary, count, and continuous data. The first regression is a logistic regression, which uses a known ratio (the probability of being sampled given that the subject/observation was referred divided by the probability of being sampled given that the subject/observation was no referred) as an offset to estimate the probability of being referred given outcome and covariates. The second regression uses this estimated probability to calculate the mean population response given covariates.
Author: Lee McDaniel [aut, cre], Jonathan Schildcrout [aut]
Maintainer: Lee McDaniel <lmcda4@lsuhsc.edu>

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Package MiRKAT updated to version 1.0.1 with previous version 1.0 dated 2017-07-25

Title: Microbiome Regression-Based Kernel Association Test
Description: Test for overall association between microbiome composition data with a continuous or dichotomous outcome via phylogenetic kernels. The phenotype can be univariate continuous or binary phenotypes (Zhao et al. (2015) <doi:10.1016/j.ajhg.2015.04.003>), survival outcomes (Plantinga et al. (2017) <doi:10.1186/s40168-017-0239-9>), multivariate (Zhan et al. (2017) <doi:10.1002/gepi.22030>) and structured phenotypes (Zhan et al. (2017) <doi:10.1111/biom.12684>). For all these effect, the microbiome community effect was modeled nonparametrically through a kernel function, which can incorporate the phylogenetic tree information.
Author: Haotian Zheng [aut], Xiang Zhan [aut], Anna Plantinga [aut], Michael Wu [aut], Ni Zhao [aut, cre], Jun Chen [aut]
Maintainer: Ni Zhao <nzhao10@jhu.edu>

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Package intccr updated to version 1.0.1 with previous version 1.0.0 dated 2018-03-30

Title: Semiparametric Competing Risks Regression under Interval Censoring
Description: Semiparametric regression models for the cumulative incidence function with interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) <doi:10.1002/sim.7350>. The main function fits the proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.
Author: Giorgos Bakoyannis <gbakogia@iu.edu>, Jun Park <jp84@iu.edu>
Maintainer: Jun Park <jp84@iu.edu>

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Package effectR updated to version 1.0.1 with previous version 1.0.0 dated 2018-01-17

Title: Predicts Oomycete Effectors
Description: Predicts cytoplasmic effector proteins using genomic data by searching for motifs of interest using regular expression searches and hidden Markov models (HMM) based in Haas et al. (2009) <doi:10.1038/nature08358>.
Author: Javier Tabima [aut, cre], Niklaus J. Grunwald [ths]
Maintainer: Javier Tabima <tabimaj@oregonstate.edu>

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Package beanz updated to version 2.2 with previous version 2.1 dated 2017-05-07

Title: Bayesian Analysis of Heterogeneous Treatment Effect
Description: It is vital to assess the heterogeneity of treatment effects (HTE) when making health care decisions for an individual patient or a group of patients. Nevertheless, it remains challenging to evaluate HTE based on information collected from clinical studies that are often designed and conducted to evaluate the efficacy of a treatment for the overall population. The Bayesian framework offers a principled and flexible approach to estimate and compare treatment effects across subgroups of patients defined by their characteristics. This package allows users to explore a wide range of Bayesian HTE analysis models, and produce posterior inferences about HTE.
Author: Chenguang Wang [aut, cre], Ravi Varadhan [aut], Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>

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Package RefManageR updated to version 1.2.0 with previous version 0.14.20 dated 2017-08-17

Title: Straightforward 'BibTeX' and 'BibLaTeX' Bibliography Management
Description: Provides tools for importing and working with bibliographic references. It greatly enhances the 'bibentry' class by providing a class 'BibEntry' which stores 'BibTeX' and 'BibLaTeX' references, supports 'UTF-8' encoding, and can be easily searched by any field, by date ranges, and by various formats for name lists (author by last names, translator by full names, etc.). Entries can be updated, combined, sorted, printed in a number of styles, and exported. 'BibTeX' and 'BibLaTeX' '.bib' files can be read into 'R' and converted to 'BibEntry' objects. Interfaces to 'NCBI Entrez', 'CrossRef', and 'Zotero' are provided for importing references and references can be created from locally stored 'PDF' files using 'Poppler'. Includes functions for citing and generating a bibliography with hyperlinks for documents prepared with 'RMarkdown' or 'RHTML'.
Author: Mathew W. McLean [aut, cre]
Maintainer: Mathew W. McLean <mathew.w.mclean@gmail.com>

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Package onnx updated to version 0.0.2 with previous version 0.0.1 dated 2018-03-06

Title: R Interface to 'ONNX'
Description: R Interface to 'ONNX' - Open Neural Network Exchange <https://onnx.ai/>. 'ONNX' provides an open source format for machine learning models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.
Author: Yuan Tang [aut, cre] (<https://orcid.org/0000-0001-5243-233X>), ONNX Authors [aut, cph], Facebook, Inc. [cph], Microsoft Corporation [cph]
Maintainer: Yuan Tang <terrytangyuan@gmail.com>

Diff between onnx versions 0.0.1 dated 2018-03-06 and 0.0.2 dated 2018-04-25

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Package metap updated to version 0.9 with previous version 0.8 dated 2017-01-22

Title: Meta-Analysis of Significance Values
Description: The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and a routine for graphical display.
Author: Michael Dewey
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>

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Package BDgraph updated to version 2.47 with previous version 2.46 dated 2018-04-17

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) <https://doi:10.1214/14-BA889> and Mohammadi et al. (2017) <https://doi:10.1111/rssc.12171>. To speed up the computations, the BDMCMC sampling algorithms are implemented in parallel using OpenMP in C++.
Author: Reza Mohammadi <https://orcid.org/0000-0001-9538-0648> and Ernst Wit <https://orcid.org/0000-0002-3671-9610>
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package MittagLeffleR updated to version 0.3.0 with previous version 0.2.0 dated 2017-11-07

Title: Mittag-Leffler Family of Distributions
Description: Implements the Mittag-Leffler function, distribution, random variate generation, and estimation. Based on the Laplace-Inversion algorithm by Garrappa, R. (2015) <doi:10.1137/140971191>.
Author: Gurtek Gill [aut], Peter Straka [aut, cre]
Maintainer: Peter Straka <p.straka@unsw.edu.au>

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Package bigIntegerAlgos updated to version 0.1.1 with previous version 0.1.0 dated 2018-04-11

Title: R Tool for Factoring Big Integers
Description: Features the multiple polynomial quadratic sieve algorithm for factoring large integers and a vectorized factoring function that returns the complete factorization of an integer. Utilizes the C library GMP (GNU Multiple Precision Arithmetic) and classes created by Antoine Lucas et al. found in the 'gmp' package.
Author: Joseph Wood
Maintainer: Joseph Wood <jwood000@gmail.com>

Diff between bigIntegerAlgos versions 0.1.0 dated 2018-04-11 and 0.1.1 dated 2018-04-25

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Package nowcasting updated to version 0.1.3 with previous version 0.1.2 dated 2018-03-02

Title: Nowcast Analysis and Create Real-Time Data Basis
Description: Methods and tools to estimate 'forecasts' of Brazilian macroeconomic variables in the near future or the recent past, i.e. 'nowcast'. It allows: extract information in real time, creating a real time data base; estimate relationship between macroeconomic variables via dynamic factors; forecast time series in previous periods of reference; forecast time series in the current period of reference (nowcasting); recreate a data base simulating the information available in the past for evaluating forecasting models accuracy (pseudo real-time data base); access information available in a specific date in the past (real-time data base), for some variables.
Author: Daiane Marcolino de Mattos [aut, cre], Guilherme Branco Gomes [aut], Pedro Costa Ferreira [aut]
Maintainer: Daiane Marcolino de Mattos <daiane.mattos@fgv.br>

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Package moonBook updated to version 0.1.8 with previous version 0.1.3 dated 2015-02-14

Title: Functions and Datasets for the Book by Keon-Woong Moon
Description: Several analysis-related functions for the book entitled "R statistics and graph for medical articles" (written in Korean), version 1, by Keon-Woong Moon with Korean demographic data with several plot functions.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package BCRA updated to version 2.0 with previous version 1.0 dated 2015-04-29

Title: Breast Cancer Risk Assessment
Description: Functions provide risk projections of invasive breast cancer based on Gail model according to National Cancer Institute's Breast Cancer Risk Assessment Tool algorithm for specified race/ethnic groups and age intervals.
Author: Fanni Zhang
Maintainer: Fanni Zhang <zhangf@imsweb.com>

Diff between BCRA versions 1.0 dated 2015-04-29 and 2.0 dated 2018-04-25

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Package svmplus updated to version 1.0.1 with previous version 1.0.0 dated 2018-04-23

Title: Implementation of Support Vector Machines Plus (SVM+)
Description: Implementation of Support Vector Machines Plus (SVM+) for classification problems. See (Vladimir et. al, 2009, <doi:10.1016/j.neunet.2009.06.042>) for theoretical details and see (Li et. al, 2016, <https://github.com/okbalefthanded/svmplus_matlab>) for implementation details in 'MATLAB'.
Author: Niharika Gauraha and Ola Spjuth
Maintainer: Niharika Gauraha <niharika.gauraha@farmbio.uu.se>

Diff between svmplus versions 1.0.0 dated 2018-04-23 and 1.0.1 dated 2018-04-25

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Package sf updated to version 0.6-2 with previous version 0.6-1 dated 2018-03-22

Title: Simple Features for R
Description: Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>), Etienne Racine [ctb], Michael Sumner [ctb], Ian Cook [ctb], Tim Keitt [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Kirill Müller [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package eDMA updated to version 1.5-1 with previous version 1.5-0 dated 2018-02-21

Title: Dynamic Model Averaging with Grid Search
Description: Perform dynamic model averaging with grid search as in Dangl and Halling (2012) <doi:10.1016/j.jfineco.2012.04.003> using parallel computing.
Author: Leopoldo Catania [aut,cre], Nima Nonejad [aut]
Maintainer: Leopoldo Catania <leopoldo.catania@econ.au.dk>

Diff between eDMA versions 1.5-0 dated 2018-02-21 and 1.5-1 dated 2018-04-25

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Package worms updated to version 0.2.2 with previous version 0.2.1 dated 2017-06-18

Title: Retriving Aphia Information from World Register of Marine Species
Description: Retrieves taxonomic information from <http://www.marinespecies.org> using WoRMS' RESTful Webservice. Utility functions aim at taxonomic consistency.
Author: Jan Holstein [aut, cre, cph]
Maintainer: Jan Holstein <janmholstein@gmail.com>

Diff between worms versions 0.2.1 dated 2017-06-18 and 0.2.2 dated 2018-04-25

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Package SetMethods updated to version 2.3.1 with previous version 2.3 dated 2017-12-01

Title: Functions for Set-Theoretic Multi-Method Research and Advanced QCA
Description: Functions for performing set-theoretic multi-method research, QCA for clustered data, theory evaluation, Enhanced Standard Analysis, indirect calibration, radar visualisations. Additionally it includes data to replicate the examples in the book by C. Q. Schneider and C. Wagemann "Set Theoretic Methods for the Social Sciences", Cambridge University Press and in the online appendix.
Author: Juraj Medzihorsky [aut], Ioana-Elena Oana [aut, cre], Mario Quaranta [aut], Carsten Q. Schneider [aut]
Maintainer: Ioana-Elena Oana <oana_ioana-elena@phd.ceu.edu>

Diff between SetMethods versions 2.3 dated 2017-12-01 and 2.3.1 dated 2018-04-25

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Package qgraph updated to version 1.5 with previous version 1.4.4 dated 2017-09-02

Title: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation
Description: Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>.
Author: Sacha Epskamp, Giulio Costantini, Jonas Haslbeck, Angelique O. J. Cramer, Lourens J. Waldorp, Verena D. Schmittmann and Denny Borsboom
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between qgraph versions 1.4.4 dated 2017-09-02 and 1.5 dated 2018-04-25

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Package ManlyMix updated to version 0.1.13 with previous version 0.1.12 dated 2018-04-21

Title: Manly Mixture Modeling and Model-Based Clustering
Description: The utility of this package includes finite mixture modeling and model-based clustering through Manly mixture models by Zhu and Melnykov (2016) <DOI:10.1016/j.csda.2016.01.015>. It also provides capabilities for forward and backward model selection procedures.
Author: Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Michael Hutt [ctb, cph] (NM optimization in c), Stephen Moshier [ctb, cph] (eigen calculations in c), Rouben Rostamian [ctb, cph] (memory allocation in c)
Maintainer: Xuwen Zhu <xuwen.zhu@louisville.edu>

Diff between ManlyMix versions 0.1.12 dated 2018-04-21 and 0.1.13 dated 2018-04-25

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Package evd updated to version 2.3-3 with previous version 2.3-2 dated 2015-12-25

Title: Functions for Extreme Value Distributions
Description: Extends simulation, distribution, quantile and density functions to univariate and multivariate parametric extreme value distributions, and provides fitting functions which calculate maximum likelihood estimates for univariate and bivariate maxima models, and for univariate and bivariate threshold models.
Author: Alec Stephenson. Function fbvpot by Chris Ferro.
Maintainer: Alec Stephenson <alec_stephenson@hotmail.com>

Diff between evd versions 2.3-2 dated 2015-12-25 and 2.3-3 dated 2018-04-25

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Package Epi updated to version 2.28 with previous version 2.26 dated 2018-03-11

Title: A Package for Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data, in particular representation, manipulation and simulation of multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Also contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data and some useful functions for tabulation and plotting, as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

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Package survivALL updated to version 0.9.3 with previous version 0.9.2 dated 2018-03-01

Title: Continuous Biomarker Assessment by Exhaustive Survival Analysis
Description: In routine practice, biomarker performance is calculated by splitting a patient cohort at some arbitrary level, often by median gene expression. The logic behind this is to divide patients into “high” or “low” expression groups that in turn correlate with either good or poor prognosis. However, this median-split approach assumes that the data set composition adheres to a strict 1:1 proportion of high vs. low expression, that for every one “low” there is an equivalent “high”. In reality, data sets are often heterogeneous in their composition (Perou, CM et al., 2000 <doi:10.1038/35021093>)- i.e. this 1:1 relationship is unlikely to exist and the true relationship unknown. Given this limitation, it remains difficult to determine where the most significant separation should be made. For example, estrogen receptor (ER) status determined by immunohistochemistry is standard practice in predicting hormone therapy response, where ER is found in an ~1:3 ratio (-:+) in the population (Selli, C et al., 2016 <doi:10.1186/s13058-016-0779-0>). We would expect therefore, upon dividing patients by ER expression, 25% to be classified “low” and 75% “high”, and an otherwise 50-50 split to incorrectly classify 25% of our patient cohort, rendering our survival estimate under powered. 'survivALL' is a data-driven approach to calculate the relative survival estimates for all possible points of separation - i.e. at all possible ratios of “high” vs. “low” - allowing a measure’s relationship with survival to be more reliably determined and quantified. We see this as a solution to a flaw in common research practice, namely the failure of a true biomarker as part of a meta-analysis.
Author: Dominic Pearce [aut, cre]
Maintainer: Dominic Pearce <dominic.pearce@ed.ac.uk>

Diff between survivALL versions 0.9.2 dated 2018-03-01 and 0.9.3 dated 2018-04-25

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New package logKDE with initial version 0.1.0
Package: logKDE
Type: Package
Title: Computing Log-Transformed Kernel Density Estimates for Positive Data
Version: 0.1.0
Date: 2018-04-25
Author: Hien D. Nguyen, Andrew T. Jones, and Geoffrey J. McLachlan
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>
Description: Computes log-transformed kernel density estimates for positive data using a variety of kernels. It follows the methods described in Jones, Nguyen and McLachlan (2018) <arXiv:1804.08365>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, pracma
SystemRequirements: C++11
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-04-25 08:16:21 UTC; andrewjones
Repository: CRAN
Date/Publication: 2018-04-25 10:21:08 UTC

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New package ggquickeda with initial version 0.1.0
Package: ggquickeda
Title: Quickly Explore Your Data Using 'ggplot2' and Summary Tables
Version: 0.1.0
Authors@R: c( person("Samer", "Mouksassi", email = "samermouksassi@gmail.com", role = c("aut", "cre")), person("Dean", "Attali", email = "daattali@gmail.com", role = c("aut")), person("Michael", "Sachs", email = "sachsmc@gmail.com", role = c("aut"), comment = "provided ggkm code"), person("Benjamin", "Rich", email = "mail@benjaminrich.net", role = c("aut"), comment = "provided table1 code") )
Description: Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.
URL: https://github.com/smouksassi/ggquickeda
BugReports: https://github.com/smouksassi/ggquickeda/issues
Depends: R (>= 3.1.0)
Imports: colourpicker, dplyr, DT, Formula, ggplot2, ggrepel (>= 0.7.0), grDevices, grid, gridExtra, Hmisc, lazyeval, markdown, methods, plotly, quantreg, rlang, scales, shiny (>= 1.0.4), shinyjs, stats, stringr, survival, tidyr, utils
Suggests: knitr, rmarkdown
License: MIT + file LICENSE
SystemRequirements: pandoc with https support
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-04-25 06:31:07 UTC; smouksas
Author: Samer Mouksassi [aut, cre], Dean Attali [aut], Michael Sachs [aut] (provided ggkm code), Benjamin Rich [aut] (provided table1 code)
Maintainer: Samer Mouksassi <samermouksassi@gmail.com>
Repository: CRAN
Date/Publication: 2018-04-25 10:15:05 UTC

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New package equalCovs with initial version 1.0
Package: equalCovs
Type: Package
Title: Testing the Equality of Two Covariance Matrices
Version: 1.0
Date: 2018-04-15
Author: Jun Li [aut, cre], Song Xi Chen [aut], Lingjun Li [ctb], Clay James [ctb]
Maintainer: Jun Li <jli49@kent.edu>
Suggests: mvtnorm
Description: Tests the equality of two covariance matrices, used in paper "Two sample tests for high dimensional covariance matrices." Li and Chen (2012) <arXiv:1206.0917>.
License: GPL-2
Packaged: 2018-04-15 19:10:44 UTC; Administrator
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2018-04-25 10:04:27 UTC

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Package lvnet updated to version 0.3.3 with previous version 0.3.2 dated 2017-09-02

Title: Latent Variable Network Modeling
Description: Estimate, fit and compare Structural Equation Models (SEM) and network models (Gaussian Graphical Models; GGM) using OpenMx. Allows for two possible generalizations to include GGMs in SEM: GGMs can be used between latent variables (latent network modeling; LNM) or between residuals (residual network modeling; RNM). For details, see Epskamp, Rhemtulla and Borsboom (2017) <doi:10.1007/s11336-017-9557-x>.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between lvnet versions 0.3.2 dated 2017-09-02 and 0.3.3 dated 2018-04-25

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Package sjlabelled updated to version 1.0.10 with previous version 1.0.9 dated 2018-04-24

Title: Labelled Data Utility Functions
Description: Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package PAFit updated to version 1.0.0.4 with previous version 1.0.0.3 dated 2018-02-05

Title: Generative Mechanism Estimation in Temporal Complex Networks
Description: Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided. Thong Pham et al. (2015) <10.1371/journal.pone.0137796>. Thong Pham et al.(2016) <doi:10.1038/srep32558>.
Author: Thong Pham, Paul Sheridan, Hidetoshi Shimodaira
Maintainer: Thong Pham <thongpham@thongpham.net>

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Package lavaanPlot updated to version 0.5.1 with previous version 0.3.0 dated 2018-01-26

Title: Path Diagrams for Lavaan Models via DiagrammeR
Description: Plots path diagrams from models in lavaan using the plotting functionality from the DiagrammeR package. DiagrammeR provides nice path diagrams via Graphviz, and these functions make it easy to generate these diagrams from a lavaan path model without having to write the DOT language graph specification.
Author: Alex Lishinski
Maintainer: Alex Lishinski <alexlishinski@gmail.com>

Diff between lavaanPlot versions 0.3.0 dated 2018-01-26 and 0.5.1 dated 2018-04-25

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New package eNetXplorer with initial version 1.0
Package: eNetXplorer
Type: Package
Title: Quantitative Exploration of Elastic Net Families for Generalized Linear Models
Version: 1.0
Date: 2018-04-20
Author: Julian Candia and John S. Tsang
Maintainer: Julian Candia <julian.candia@nih.gov>
Depends: R (>= 2.10)
Imports: glmnet, stats, graphics, methods, grDevices, Matrix, progress, calibrate, RColorBrewer, gplots
Description: Provides a quantitative toolkit to explore elastic net families and to uncover correlates contributing to prediction under a cross-validation framework. Fits linear, binomial (logistic) and multinomial models. Candia J and Tsang JS (2018), (application note under review).
License: GPL-3
LazyData: true
LazyLoad: yes
NeedsCompilation: no
Packaged: 2018-04-24 19:19:44 UTC; candiajm
Repository: CRAN
Date/Publication: 2018-04-25 08:14:22 UTC

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New package egoTERGM with initial version 1.0.0
Package: egoTERGM
Date: 2018-4-18
Type: Package
Title: Estimation of Ego-Temporal Exponential Random Graph Models via Expectation Maximization (EM)
Version: 1.0.0
Authors@R: c(person(given = c("Benjamin", "W."), family = "Campbell", email = "campbell.1721@osu.edu", role = c("aut", "cre")), person(given = c("Michael"), family = "Salter-Townshend", email = "michael.salter-townshend@ucd.ie", role = "ctb"), person(given = c("Thomas", "Brendan"), family = "Murphy", email = "brendan.murphy@ucd.ie", role = "ctb"))
Author: Benjamin W. Campbell [aut, cre], Michael Salter-Townshend [ctb], Thomas Brendan Murphy [ctb]
Maintainer: Benjamin W. Campbell <campbell.1721@osu.edu>
URL: http://github.com/benjamin-w-campbell/egoTERGM
Description: Estimation of ego-temporal exponential random graph models with two-stage estimation including initialization through k-means clustering on temporal exponential random graph model parameters and EM as per Campbell (2018) <doi:10.7910/DVN/TWHEZ9>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
Depends: R (>= 3.4.0), statnet (>= 2016.9), parallel (>= 3.3.3), btergm (>= 1.9.0), xergm.common (>= 1.7.7)
Imports: boot (>= 1.3-18), ergm (>= 3.7.1), network (>= 1.13.0), stats (>= 3.3.3), sna (>= 2.4), GGally (>= 1.3.2), Matrix (>= 1.2-8), speedglm (>= 0.3-2), methods (>= 3.3.3)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-04-24 15:44:19 UTC; benjamincampbell
Repository: CRAN
Date/Publication: 2018-04-25 08:11:42 UTC

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Package forestmodel updated to version 0.5.0 with previous version 0.4.3 dated 2017-04-16

Title: Forest Plots from Regression Models
Description: Produces forest plots using 'ggplot2' from models produced by functions such as stats::lm(), stats::glm() and survival::coxph().
Author: Nick Kennedy <r@nick-kennedy.com>
Maintainer: Nick Kennedy <r@nick-kennedy.com>

Diff between forestmodel versions 0.4.3 dated 2017-04-16 and 0.5.0 dated 2018-04-25

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Package base2grob updated to version 0.0.3 with previous version 0.0.2 dated 2018-03-15

Title: Convert Base Plot to 'grob' Object
Description: Convert base plot function call (using expression or formula) to 'grob' object that compatible to the 'grid' ecosystem. With this package, we are able to e.g. using 'cowplot' to align base plots with 'ggplot' objects and using 'ggsave' to export base plot to file.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between base2grob versions 0.0.2 dated 2018-03-15 and 0.0.3 dated 2018-04-25

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Package ztable updated to version 0.1.8 with previous version 0.1.5 dated 2015-02-15

Title: Zebra-Striped Tables in LaTeX and HTML Formats
Description: Makes zebra-striped tables (tables with alternating row colors) in LaTeX and HTML formats easily from a data.frame, matrix, lm, aov, anova, glm, coxph, nls, fitdistr, mytable and cbind.mytable objects.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

Diff between ztable versions 0.1.5 dated 2015-02-15 and 0.1.8 dated 2018-04-25

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