Mon, 09 Nov 2015

Package YPmodel updated to version 1.3 with previous version 1.2 dated 2015-09-22

Title: The Short-Term and Long-Term Hazard Ratio Model for Survival Data
Description: Inference procedures accommodate a flexible range of hazard ratio patterns with a two-sample semi-parametric model. This model contains the proportional hazards model and the proportional odds model as sub-models, and accommodates non-proportional hazards situations to the extreme of having crossing hazards and crossing survivor functions. Overall, this package has four major functions: 1) the parameter estimation, namely short-term and long-term hazard ratio parameters; 2) 95 percent and 90 percent point-wise confidence intervals and simultaneous confidence bands for the hazard ratio function; 3) p-value of the adaptive weighted log-rank test; 4) p-values of two lack-of-fit tests for the model. See the included "read_me_first.pdf" for brief instructions. In this version (1.1), there is no need to sort the data before applying this package.
Author: Junlong Sun and Song Yang
Maintainer: Junlong Sun <junlong.sun@gmail.com>

Diff between YPmodel versions 1.2 dated 2015-09-22 and 1.3 dated 2015-11-09

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Package synchronicity updated to version 1.1.9 with previous version 1.1.4 dated 2014-03-27

Title: Boost Mutex Functionality in R
Description: Boost mutex functionality in R.
Author: Michael J. Kane <kaneplusplus@gmail.com>
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

Diff between synchronicity versions 1.1.4 dated 2014-03-27 and 1.1.9 dated 2015-11-09

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Package rase updated to version 0.2-21 with previous version 0.2-2 dated 2015-08-13

Title: Range Ancestral State Estimation for Phylogeography and Comparative Analyses
Description: The rase package primarily implements the Range Ancestral State Estimation for phylogeography described in Quintero, I., Keil, P., Jetz, W., & Crawford, F. W. (2015). Historical Biogeography Using Species Geographical Ranges. Systematic biology, 64(6), 1059-1073. It also includes Bayesian inference of ancestral states under a Brownian Motion model of character evolution and Maximum Likelihood estimation of rase for n-dimensional data. Visualizing functions in 3D are implemented using the rgl package.
Author: Ignacio Quintero [aut, cre], Forrest W. Crawford [aut], Petr Keil [aut]
Maintainer: Ignacio Quintero <ignacio.quintero@yale.edu>

Diff between rase versions 0.2-2 dated 2015-08-13 and 0.2-21 dated 2015-11-09

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New package progenyClust with initial version 1.0
Package: progenyClust
Type: Package
Title: Finding the Optimal Cluster Number Using Progeny Clustering
Version: 1.0
Date: 2015-10-20
Author: C.W. Hu
Maintainer: C.W. Hu <wendyhu001@gmail.com>
Description: Implementing the Progeny Clustering algorithm, the progenyClust package assesses the clustering stability and identifies the optimal clustering number for a given data matrix. It uses kmeans clustering as default, but can be customized to work with other clustering algorithms and different parameter settings. The package includes one main function progenyClust(), plot and summary methods for progenyClust object, and one example dataset example for testing.
License: AGPL-3
Imports: Hmisc
Depends: graphics,stats
NeedsCompilation: no
Packaged: 2015-11-09 17:35:29 UTC; wendy
Repository: CRAN
Date/Publication: 2015-11-09 21:18:59

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Package VineCopula updated to version 1.6-1 with previous version 1.6 dated 2015-07-22

Title: Statistical Inference of Vine Copulas
Description: Tools for bivariate exploratory data analysis, bivariate copula selection and (vine) tree construction are provided. Vine copula models can be estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods are included. Data is assumed to lie in the unit hypercube (so-called copula data). For C- and D-vines links to the package 'CDVine' are provided.
Author: Ulf Schepsmeier, Jakob Stoeber, Eike Christian Brechmann, Benedikt Graeler, Thomas Nagler, Tobias Erhardt
Maintainer: Thomas Nagler <thomas.nagler@tum.de>

Diff between VineCopula versions 1.6 dated 2015-07-22 and 1.6-1 dated 2015-11-09

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Package timeSeries updated to version 3022.101 with previous version 3012.99 dated 2015-01-23

Title: Rmetrics - Financial Time Series Objects
Description: Environment for teaching "Financial Engineering and Computational Finance". Managing financial time series objects.
Author: Rmetrics Core Team, Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@rmetrics.org>

Diff between timeSeries versions 3012.99 dated 2015-01-23 and 3022.101 dated 2015-11-09

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New package SuperExactTest with initial version 0.99.1
Package: SuperExactTest
Type: Package
Title: Exact Test and Visualization of Multi-Set Intersections
Version: 0.99.1
Date: 2015-11-07
Author: Minghui Wang, Yongzhong Zhao and Bin Zhang
Maintainer: Minghui Wang <minghui.wang@mssm.edu>
Contact: Minghui Wang <minghui.wang@mssm.edu>, Bin Zhang <bin.zhang@mssm.edu>
Description: Efficient statistical testing and scalable visualization of intersections among multiple sets.
License: GPL-3
Depends: grid (>= 3.1.0), methods, R (>= 3.1.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2015-11-09 16:06:17 UTC; Minghui
Repository: CRAN
Date/Publication: 2015-11-09 17:45:22

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New package rglwidget with initial version 0.1.1402
Package: rglwidget
Type: Package
Title: 'rgl' in 'htmlwidgets' Framework
Version: 0.1.1402
Author: Duncan Murdoch
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>
Description: Provides an 'htmlwidgets' framework for the 'rgl' package.
License: GPL-2
LazyData: TRUE
Imports: htmlwidgets, htmltools, knitr, jsonlite, shiny, rgl (>= 0.95.1367)
Repository: CRAN
Repository/R-Forge/Project: rgl
Repository/R-Forge/Revision: 1402
Repository/R-Forge/DateTimeStamp: 2015-11-09 01:43:22
Date/Publication: 2015-11-09 17:45:42
NeedsCompilation: no
Packaged: 2015-11-09 02:10:31 UTC; rforge

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Package qtlcharts updated to version 0.5-25 with previous version 0.5-23 dated 2015-11-08

Title: Interactive Graphics for QTL Experiments
Description: Web-based interactive charts (using D3.js) for the analysis of experimental crosses to identify genetic loci (quantitative trait loci, QTL) contributing to variation in quantitative traits.
Author: Karl W Broman [aut, cre], Michael Bostock [ctb, cph] (d3.js library in htmlwidgets/lib, http://d3js.org), Justin Palmer [ctb, cph] (d3.tip library in htmlwidgets/lib, https://github.com/caged/d3-tip), Cynthia Brewer [cph] (ColorBrewer library in htmlwidgets/lib, http://colorbrewer2.org), Mark Harrower [cph] (ColorBrewer library in htmlwidgets/lib, http://colorbrewer2.org), The Pennsylvania State University [cph] (ColorBrewer library in htmlwidgets/lib, http://colorbrewer2.org), jQuery Foundation [cph] (jQuery library in htmlwidgets/lib, http://jquery.com), jQuery contributors [ctb] (jQuery library in htmlwidgets/lib; see https://github.com/jquery/jquery/blob/master/AUTHORS.txt), jQuery UI contributors [ctb] (jQuery UI library in htmlwidgets/lib; see http://jqueryui.com/about)
Maintainer: Karl W Broman <kbroman@biostat.wisc.edu>

Diff between qtlcharts versions 0.5-23 dated 2015-11-08 and 0.5-25 dated 2015-11-09

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Package pcadapt updated to version 2.0.1 with previous version 2.0 dated 2015-11-04

Title: 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
Maintainer: Keurcien Luu <keurcien.luu@imag.fr>

Diff between pcadapt versions 2.0 dated 2015-11-04 and 2.0.1 dated 2015-11-09

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Package mice updated to version 2.25 with previous version 2.22 dated 2014-06-11

Title: Multivariate Imputation by Chained Equations
Description: Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Author: Stef van Buuren [aut, cre], Karin Groothuis-Oudshoorn [aut], Alexander Robitzsch [ctb], Gerko Vink [ctb], Lisa Doove [ctb], Shahab Jolani [ctb]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

Diff between mice versions 2.22 dated 2014-06-11 and 2.25 dated 2015-11-09

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Package Libra updated to version 1.3-2 with previous version 1.3 dated 2015-11-07

Title: Linearized Bregman Algorithms for Generalized Linear Models
Description: Efficient procedures for fitting the regularization path for linear, binomial, multinomial models with lasso, group lasso or block lasso penalty. The package uses Linearized Bregman Algorithm to solve the regularization path through iterations. Bregman Inverse Scale Space Differential Inclusion solver is also provided for linear model with lasso penalty.
Author: Feng Ruan, Jiechao Xiong and Yuan Yao
Maintainer: Jiechao Xiong <xiongjiechao@pku.edu.cn>

Diff between Libra versions 1.3 dated 2015-11-07 and 1.3-2 dated 2015-11-09

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Package geostatsp updated to version 1.3.10 with previous version 1.3.5 dated 2015-08-17

Title: Geostatistical Modelling with Likelihood and Bayes
Description: Geostatistical modelling facilities using Raster and SpatialPoints objects are provided. Non-Gaussian models are fit using INLA, and Gaussian geostatistical models use Maximum Likelihood Estimation.
Author: Patrick Brown <patrick.brown@utoronto.ca>[aut, cre], Robert Hijmans [ctb]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

Diff between geostatsp versions 1.3.5 dated 2015-08-17 and 1.3.10 dated 2015-11-09

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Package fOptions updated to version 3022.85 with previous version 3010.83 dated 2013-06-23

Title: Rmetrics - Pricing and Evaluating Basic Options
Description: Environment for teaching "Financial Engineering and Computational Finance". Pricing and Evaluating Basic Options.
Author: Rmetrics Core Team, Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb]
Maintainer: Tobias Setz <tobias.setz@rmetrics.org>

Diff between fOptions versions 3010.83 dated 2013-06-23 and 3022.85 dated 2015-11-09

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Package diverse updated to version 0.1.1 with previous version 0.1.0 dated 2015-10-20

Title: Diversity Measures for Complex Systems
Description: Computes the most common diversity measures used in social and natural sciences, and includes new measures from interdisciplinary research.
Author: Miguel R. Guevara <miguel.guevara@upla.cl>, Dominik Hartmann <d.hartmann@uni-hohenheim.de>, Marcelo Mendoza <marcelo.mendoza@usm.cl>
Maintainer: Miguel R. Guevara <miguel.guevara@upla.cl>

Diff between diverse versions 0.1.0 dated 2015-10-20 and 0.1.1 dated 2015-11-09

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Package cp4p updated to version 0.3.3 with previous version 0.3.2 dated 2015-10-08

Title: Calibration Plot for Proteomics
Description: Functions to check whether a vector of p-values respects the assumptions of FDR (false discovery rate) control procedures and to compute adjusted p-values.
Author: Quentin Giai Gianetto, Florence Combes, Claire Ramus, Christophe Bruley, Yohann Couté, Thomas Burger
Maintainer: Quentin Giai Gianetto <quentin2g@yahoo.fr>

Diff between cp4p versions 0.3.2 dated 2015-10-08 and 0.3.3 dated 2015-11-09

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Package CovSel updated to version 1.2.1 with previous version 1.1 dated 2014-06-26

Title: Model-Free Covariate Selection
Description: Model-free selection of covariates under unconfoundedness for situations where the parameter of interest is an average causal effect. This package is based on model-free backward elimination algorithms proposed in de Luna, Waernbaum and Richardson (2011). Marginal co-ordinate hypothesis testing is used in situations where all covariates are continuous while kernel-based smoothing appropriate for mixed data is used otherwise.
Author: Jenny Häggström, Emma Persson,
Maintainer: Jenny Häggström <jenny.haggstrom@umu.se>

Diff between CovSel versions 1.1 dated 2014-06-26 and 1.2.1 dated 2015-11-09

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Package changepoint updated to version 2.2 with previous version 2.1.1 dated 2015-09-30

Title: Methods for Changepoint Detection
Description: Implements various mainstream and specialised changepoint methods for finding single and multiple changepoints within data. Many popular non-parametric and frequentist methods are included. The cpt.mean(), cpt.var(), cpt.meanvar() functions should be your first point of call.
Author: Rebecca Killick [aut, cre], Kaylea Haynes [aut], Idris Eckley [ths, aut], Paul Fearnhead [ctb, ths], Jamie Lee [ctr]
Maintainer: Rebecca Killick <r.killick@lancs.ac.uk>

Diff between changepoint versions 2.1.1 dated 2015-09-30 and 2.2 dated 2015-11-09

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Package ade4TkGUI updated to version 0.2-9 with previous version 0.2-6 dated 2012-11-13

Title: 'ade4' Tcl/Tk Graphical User Interface
Description: A Tcl/Tk GUI for some basic functions in the 'ade4' package.
Author: Jean Thioulouse <jean.thioulouse@univ-lyon1.fr>, Stéphane Dray <stephane.dray@univ-lyon1.fr>, Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between ade4TkGUI versions 0.2-6 dated 2012-11-13 and 0.2-9 dated 2015-11-09

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New package tsPI with initial version 1.0.0
Package: tsPI
Title: Improved Prediction Intervals for ARIMA Processes and Structural Time Series
Version: 1.0.0
Date: 2015-11-09
Author: Jouni Helske
Maintainer: Jouni Helske <jouni.helske@jyu.fi>
Imports: KFAS
Suggests: testthat
Description: Prediction intervals for ARIMA and structural time series models using importance sampling approach with uninformative priors for model parameters, leading to more accurate coverage probabilities in frequentist sense. Instead of sampling the future observations and hidden states of the state space representation of the model, only model parameters are sampled, and the method is based solving the equations corresponding to the conditional coverage probability of the prediction intervals. This makes method relatively fast compared to for example MCMC methods, and standard errors of prediction limits can also be computed straightforwardly.
License: GPL-3
NeedsCompilation: yes
Encoding: UTF-8
BugReports: https://github.com/helske/tsPI/issues
Packaged: 2015-11-09 07:53:20 UTC; jovetale
Repository: CRAN
Date/Publication: 2015-11-09 15:19:28

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Package RSEIS updated to version 3.5-2 with previous version 3.4-5 dated 2015-04-28

Title: Seismic Time Series Analysis Tools
Description: Multiple interactive codes to view and analyze seismic data, via spectrum analysis, wavelet transforms, particle motion, hodograms. Includes general time-series tools, plotting, filtering, interactive display.
Author: Jonathan M. Lees
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

Diff between RSEIS versions 3.4-5 dated 2015-04-28 and 3.5-2 dated 2015-11-09

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New package npregfast with initial version 1.0
Package: npregfast
Type: Package
Title: Nonparametric Estimation of Regression Models with Factor-by-Curve Interactions
Version: 1.0
Date: 2015-11-05
Author: Marta Sestelo [aut, cre], Nora M. Villanueva [aut], Javier Roca-Pardinas [aut]
Maintainer: Marta Sestelo <sestelo@uvigo.es>
Authors@R: c( person("Marta", "Sestelo",email= "sestelo@uvigo.es", role = c("aut", "cre")), person("Nora", "M. Villanueva",email= "nmvillanueva@uvigo.es", role = "aut"), person("Javier", "Roca-Pardinas",email= "roca@uvigo.es", role = "aut"))
Description: A method for obtain nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers. Additionally, a parametric model (allometric model) can be estimated.
BugReports: http://github.com/sestelo/npregfast/issues
Depends: R (>= 3.2.0)
License: MIT + file LICENSE
LazyData: true
Imports: graphics, stats, utils
RoxygenNote: 5.0.0
NeedsCompilation: yes
Packaged: 2015-11-09 11:20:39 UTC; Sestelo
Repository: CRAN
Date/Publication: 2015-11-09 15:28:58

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Package JMbayes updated to version 0.7-8 with previous version 0.7-2 dated 2015-05-04

Title: Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between JMbayes versions 0.7-2 dated 2015-05-04 and 0.7-8 dated 2015-11-09

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Package JM updated to version 1.4-2 with previous version 1.4-0 dated 2015-06-23

Title: Joint Modeling of Longitudinal and Survival Data
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between JM versions 1.4-0 dated 2015-06-23 and 1.4-2 dated 2015-11-09

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Package gvc updated to version 0.5.2 with previous version 0.5.1 dated 2015-10-30

Title: Global Value Chains Tools
Description: Several tools for Global Value Chain ('GVC') analysis are implemented.
Author: Bastiaan Quast [aut, cre], Victor Kummritz [aut]
Maintainer: Bastiaan Quast <bquast@gmail.com>

Diff between gvc versions 0.5.1 dated 2015-10-30 and 0.5.2 dated 2015-11-09

 DESCRIPTION |    6 +++---
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Package genSurv updated to version 1.0.3 with previous version 1.0.2 dated 2014-05-07

Title: Generating Multi-State Survival Data
Description: Generation of survival data with one (binary) time-dependent covariate. Generation of survival data arising from a progressive illness-death model.
Author: Artur Araujo, Luis Meira-Machado <lmachado@math.uminho.pt> and Susana Faria <sfaria@math.uminho.pt>
Maintainer: Artur Araujo <artur.stat@gmail.com>

Diff between genSurv versions 1.0.2 dated 2014-05-07 and 1.0.3 dated 2015-11-09

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New package fancycut with initial version 0.1.0
Package: fancycut
Title: A Fancy Version of 'base::cut'
Version: 0.1.0
Authors@R: person("Adam", "Rich", email = "adamleerich@gmail.com", role = c("aut", "cre"))
Description: Provides the function fancycut() which is like cut() except you can mix left open and right open intervals with point values, intervals that are closed on both ends and intervals that are open on both ends.
Depends: R (>= 3.2.2)
License: CC0
LazyData: true
NeedsCompilation: no
Packaged: 2015-11-08 20:03:56 UTC; richad
Author: Adam Rich [aut, cre]
Maintainer: Adam Rich <adamleerich@gmail.com>
Repository: CRAN
Date/Publication: 2015-11-09 15:33:53

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Package TPmsm updated to version 1.2.1 with previous version 1.2.0 dated 2014-12-09

Title: Estimation of Transition Probabilities in Multistate Models
Description: Estimation of transition probabilities for the illness-death model and or the three-state progressive model.
Author: Artur Araujo, Javier Roca-Pardinas <roca@uvigo.es> and Luis Meira-Machado <lmachado@math.uminho.pt>
Maintainer: Artur Araujo <artur.stat@gmail.com>

Diff between TPmsm versions 1.2.0 dated 2014-12-09 and 1.2.1 dated 2015-11-09

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Package smoothHR updated to version 1.0.2 with previous version 1.0.1 dated 2014-04-08

Title: Smooth Hazard Ratio Curves Taking a Reference Value
Description: Provides flexible hazard ratio curves allowing non-linear relationships between continuous predictors and survival. To better understand the effects that each continuous covariate has on the outcome, results are ex pressed in terms of hazard ratio curves, taking a specific covariate value as reference. Confidence bands for these curves are also derived.
Author: Artur Araujo and Luis Meira-Machado <lmachado@math.uminho.pt>
Maintainer: Artur Araujo <artur.stat@gmail.com>

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Package queueing updated to version 0.2.6 with previous version 0.2.5 dated 2015-05-15

Title: Analysis of Queueing Networks and Models
Description: It provides versatile tools for analysis of birth and death based Markovian Queueing Models and Single and Multiclass Product-Form Queueing Networks. It implements M/M/1, M/M/c, M/M/Infinite, M/M/1/K, M/M/c/K, M/M/c/c, M/M/1/K/K, M/M/c/K/K, M/M/c/K/m, M/M/Infinite/K/K, Multiple Channel Open Jackson Networks, Multiple Channel Closed Jackson Networks, Single Channel Multiple Class Open Networks, Single Channel Multiple Class Closed Networks and Single Channel Multiple Class Mixed Networks. Also it provides a B-Erlang, C-Erlang and Engset calculators. This work is dedicated to the memory of D. Sixto Rios Insua.
Author: Pedro Canadilla
Maintainer: Pedro Canadilla <pedro.canadilla@gmail.com>

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Package mkin updated to version 0.9-41 with previous version 0.9-40 dated 2015-07-21

Title: Routines for Fitting Kinetic Models with One or More State Variables to Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers and a choice of the optimisation methods made available by the 'FME' package. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using compiled C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph], Katrin Lindenberger [ctb], René Lehmann [ctb], Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

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Package maxLik updated to version 1.3-4 with previous version 1.3-2 dated 2015-10-29

Title: Maximum Likelihood Estimation and Related Tools
Description: Functions for Maximum Likelihood (ML) estimation and non-linear optimization, and related tools. It includes a unified way to call different optimizers, and classes and methods to handle the results from the ML viewpoint. It also includes a number of convenience tools for testing and developing your own models.
Author: Ott Toomet <otoomet@gmail.com>, Arne Henningsen <arne.henningsen@gmail.com>, with contributions from Spencer Graves and Yves Croissant
Maintainer: Ott Toomet <otoomet@gmail.com>

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Package HH updated to version 3.1-23 with previous version 3.1-21 dated 2015-08-23

Title: Statistical Analysis and Data Display: Heiberger and Holland
Description: Support software for Statistical Analysis and Data Display (First Edition, Springer, ISBN 0-387-40270-5, 2004) and (Second Edition, Springer, ISBN 978-1-4939-2121-8, anticipated 2015) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.
Author: Richard M. Heiberger
Maintainer: Richard M. Heiberger <rmh@temple.edu>

Diff between HH versions 3.1-21 dated 2015-08-23 and 3.1-23 dated 2015-11-09

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Package GEOmap updated to version 2.3-8 with previous version 2.3-5 dated 2015-04-29

Title: Topographic and Geologic Mapping
Description: Set of routines for making Map Projections (forward and inverse), Topographic Maps, Perspective plots, Geological Maps, geological map symbols, geological databases, interactive plotting and selection of focus regions.
Author: Jonathan M. Lees
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

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Package diseasemapping updated to version 1.2.7 with previous version 1.2.3 dated 2015-07-07

Title: Modelling Spatial Variation in Disease Risk for Areal Data
Description: Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using INLA.
Author: Patrick Brown <patrick.brown@utoronto.ca>
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

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Package lavaan.survey updated to version 1.1.3 with previous version 1.1 dated 2014-02-21

Title: Complex Survey Structural Equation Modeling (SEM)
Description: Fit structural equation models (SEM) including factor analysis, multivariate regression models with latent variables and many other latent variable models while correcting estimates, standard errors, and chi-square-derived fit measures for a complex sampling design. Incorporate clustering, stratification, sampling weights, and finite population corrections into a SEM analysis. Wrapper around packages lavaan and survey.
Author: Daniel Oberski
Maintainer: Daniel Oberski <daniel.oberski@gmail.com>

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