Tue, 06 Nov 2018

Package trackr updated to version 0.10.5 with previous version 0.10.2 dated 2018-08-29

Title: Semantic Annotation and Discoverability System for R-Based Artifacts
Description: Automatically annotates R-based artifacts with relevant descriptive and provenance-related and provides a backend-agnostic storage and discoverability system for organizing, retrieving, and interrogating such artifacts.
Author: Gabriel Becker [aut, cre], Sara Moore [aut]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

Diff between trackr versions 0.10.2 dated 2018-08-29 and 0.10.5 dated 2018-11-06

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Package parfm updated to version 2.7.6 with previous version 2.7.5 dated 2017-04-29

Title: Parametric Frailty Models
Description: Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Fréchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.
Author: Federico Rotolo [aut, cre], Marco Munda [aut], Andrea Callegaro [ctb]
Maintainer: Federico Rotolo <federico.rotolo@innate-pharma.fr>

Diff between parfm versions 2.7.5 dated 2017-04-29 and 2.7.6 dated 2018-11-06

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New package switchrGist with initial version 0.2.4
Package: switchrGist
Type: Package
Title: Publish Package Manifests to GitHub Gists
Version: 0.2.4
Date: 2018-11-05
Author: Gabriel Becker [aut, cre]
Copyright: Genentech Inc.
Maintainer: Gabriel Becker <gabembecker@gmail.com>
Description: Provides a simple plugin to the switchr framework which allows users to publish package and session manifests as gists.
Depends: switchr (>= 0.9.4), methods
Imports: gistr, httpuv, RJSONIO
License: Artistic-2.0
URL: https://github.com/gmbecker/switchrGist
BugReports: https://github.com/gmbecker/switchrGist/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-11-06 23:30:33 UTC; gmbecker
Repository: CRAN
Date/Publication: 2018-11-07 00:00:03 UTC

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Package RXshrink updated to version 1.1 with previous version 1.0-9 dated 2018-04-08

Title: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression
Description: Identify and display TRACEs for a specified shrinkage path and determine the extent of shrinkage most likely, under normal distribution theory, to produce an optimal reduction in MSE Risk in estimates of regression (beta) coefficients. Alternative estimates are also provided when ill-conditioned (nearly multicollinear) models yield OLS estimates with "wrong" numerical signs.
Author: Bob Obenchain
Maintainer: Bob Obenchain <wizbob@att.net>

Diff between RXshrink versions 1.0-9 dated 2018-04-08 and 1.1 dated 2018-11-06

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Package gcookbook updated to version 2.0 with previous version 1.0 dated 2012-11-30

Title: Data for "R Graphics Cookbook"
Description: Data sets used in the book "R Graphics Cookbook" by Winston Chang, published by O'Reilly Media.
Author: Winston Chang
Maintainer: Winston Chang <winston@stdout.org>

Diff between gcookbook versions 1.0 dated 2012-11-30 and 2.0 dated 2018-11-06

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Package ffbase updated to version 0.12.7 with previous version 0.12.5 dated 2018-09-24

Title: Basic Statistical Functions for Package 'ff'
Description: Extends the out of memory vectors of 'ff' with statistical functions and other utilities to ease their usage.
Author: Edwin de Jonge, Jan Wijffels, Jan van der Laan
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

Diff between ffbase versions 0.12.5 dated 2018-09-24 and 0.12.7 dated 2018-11-06

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Package zCompositions updated to version 1.1.2 with previous version 1.1.1-1 dated 2018-10-27

Title: Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets
Description: Principled methods for the imputation of zeros, left-censored and missing data in compositional data sets.
Author: Javier Palarea-Albaladejo and Josep Antoni Martin-Fernandez
Maintainer: Javier Palarea-Albaladejo <javier.palarea@bioss.ac.uk>

Diff between zCompositions versions 1.1.1-1 dated 2018-10-27 and 1.1.2 dated 2018-11-06

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Package LLSR updated to version 0.0.2.2 with previous version 0.0.2.1 dated 2018-08-22

Title: Data Analysis of Liquid-Liquid Systems
Description: Analyses experimental data from liquid-liquid phase diagrams and provide a simple way to obtain its parameters and a simplified report. Designed initially to analyse Aqueous Two-Phases Systems, the package will include (every other update) new functions in order to comprise useful tools in liquid-liquid analysis.
Author: Diego F Coelho <diegofcoelho@gmail.com>
Maintainer: Diego F Coelho <diegofcoelho@gmail.com>

Diff between LLSR versions 0.0.2.1 dated 2018-08-22 and 0.0.2.2 dated 2018-11-06

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Package BoSSA updated to version 3.6 with previous version 3.5 dated 2018-09-25

Title: A Bunch of Structure and Sequence Analysis
Description: Reads and plots phylogenetic placements.
Author: Pierre Lefeuvre
Maintainer: Pierre Lefeuvre <pierre.lefeuvre@cirad.fr>

Diff between BoSSA versions 3.5 dated 2018-09-25 and 3.6 dated 2018-11-06

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Package WVPlots updated to version 1.0.6 with previous version 1.0.5 dated 2018-10-22

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between WVPlots versions 1.0.5 dated 2018-10-22 and 1.0.6 dated 2018-11-06

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Package mdmb updated to version 1.0-18 with previous version 0.11-7 dated 2018-10-16

Title: Model Based Treatment of Missing Data
Description: Contains model-based treatment of missing data for regression models with missing values in covariates or the dependent variable using maximum likelihood or Bayesian estimation (Ibrahim et al., 2005; <doi:10.1198/016214504000001844>). The regression model can be nonlinear (e.g., interaction effects, quadratic effects or B-spline functions). Multilevel models with missing data in predictors are available for Bayesian estimation. Substantive-model compatible multiple imputation can be also conducted.
Author: Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between mdmb versions 0.11-7 dated 2018-10-16 and 1.0-18 dated 2018-11-06

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Package sjmisc updated to version 2.7.6 with previous version 2.7.5 dated 2018-09-13

Title: Data and Variable Transformation Functions
Description: Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package shinythemes updated to version 1.1.2 with previous version 1.1.1 dated 2016-10-12

Title: Themes for Shiny
Description: Themes for use with Shiny. Includes several Bootstrap themes from <http://bootswatch.com/>, which are packaged for use with Shiny applications.
Author: Winston Chang [aut, cre], RStudio [cph], Thomas Park [ctb, cph] (Bootswatch themes), Lukasz Dziedzic [ctb, cph] (Lato font), Nathan Willis [ctb, cph] (News Cycle font), Google Corporation [ctb, cph] (Open Sans and Roboto fonts), Matt McInerney [ctb, cph] (Raleway font), Adobe Systems Incorporated [ctb, cph] (Source Sans Pro font), Canonical Ltd [ctb, cph] (Ubuntu font)
Maintainer: Winston Chang <winston@rstudio.com>

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Package hisse updated to version 1.8.9 with previous version 1.8.8 dated 2018-10-19

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification. Beaulieu and O'Meara (2016) <doi:10.1093/sysbio/syw022>.
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut], Daniel Caetano [aut]
Maintainer: Jeremy Beaulieu <jbeaulieu@nimbios.org>

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Package CDM updated to version 7.0-12 with previous version 6.6-5 dated 2018-09-30

Title: Cognitive Diagnosis Modeling
Description: Functions for cognitive diagnosis modeling and multidimensional item response modeling for dichotomous and polytomous item responses. This package enables the estimation of the DINA and DINO model (Junker & Sijtsma, 2001, <doi:10.1177/01466210122032064>), the multiple group (polytomous) GDINA model (de la Torre, 2011, <doi:10.1007/s11336-011-9207-7>), the multiple choice DINA model (de la Torre, 2009, <doi:10.1177/0146621608320523>), the general diagnostic model (GDM; von Davier, 2008, <doi:10.1348/000711007X193957>), the structured latent class model (SLCA; Formann, 1992, <doi:10.1080/01621459.1992.10475229>) and regularized latent class analysis (Chen, Li, Liu, & Ying, 2017, <doi:10.1007/s11336-016-9545-6>). See George, Robitzsch, Kiefer, Gross, and Uenlue (2017) <doi:10.18637/jss.v074.i02> for further details on estimation and the package structure. For tutorials on how to use the CDM package see George and Robitzsch (2015, <doi:10.20982/tqmp.11.3.p189>) as well as Ravand and Robitzsch (2015).
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Ann Cathrice George [aut], Ali Uenlue [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package bigmatch updated to version 0.5.1 with previous version 0.4.1 dated 2018-10-23

Title: Making Optimal Matching Size-Scalable Using Optimal Calipers
Description: Implements optimal matching with near-fine balance in large observational studies with the use of optimal calipers to get a sparse network. The caliper is optimal in the sense that it is as small as possible such that a matching exists. The main functions in the 'bigmatch' package are optcal() to find the optimal caliper, optconstant() to find the optimal number of nearest neighbors and nfmatch() to find a near-fine balance match with a caliper and a restriction on number of nearest neighbors. Glover, F. (1967). <DOI:10.1002/nav.3800140304>. Lipski, W., Jr, and Preparata, F. P. (1981). <DOI:10.1007/BF00264533>. Rosenbaum, P.R. (1989). <DOI:10.1080/01621459.1989.10478868>. Yang, D., Small, D. S., Silber, J. H., and Rosenbaum, P. R. (2012). <DOI:10.1111/j.1541-0420.2011.01691.x>.
Author: Ruoqi Yu
Maintainer: Ruoqi Yu <ruoqiyu@wharton.upenn.edu>

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Package seqHMM updated to version 1.0.9 with previous version 1.0.8-1 dated 2018-05-10

Title: Hidden Markov Models for Life Sequences and Other Multivariate, Multichannel Categorical Time Series
Description: Designed for fitting hidden (latent) Markov models and mixture hidden Markov models for social sequence data and other categorical time series. Also some more restricted versions of these type of models are available: Markov models, mixture Markov models, and latent class models. The package supports models for one or multiple subjects with one or multiple parallel sequences (channels). External covariates can be added to explain cluster membership in mixture models. The package provides functions for evaluating and comparing models, as well as functions for easy plotting of multichannel sequence data and hidden Markov models. Models are estimated using maximum likelihood via the EM algorithm and/or direct numerical maximization with analytical gradients. All main algorithms are written in C++ with support for parallel computation.
Author: Jouni Helske, Satu Helske
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package Phase123 updated to version 1.9 with previous version 1.8 dated 2018-10-26

Title: Simulating and Conducting Phase 123 Trials
Description: Contains three simulation functions for implementing the entire Phase 123 trial and the separate Eff-Tox and Phase 3 portions of the trial, which may be beneficial for use on clusters. The functions AssignEffTox() and RandomizeEffTox() assign doses to patient cohorts during phase 12 and Reoptimize() determines the optimal dose to continue with during Phase 3. The functions ReturnMeansAgent() and ReturnMeanControl() gives the true mean survival for the agent doses and control and ReturnOCS() gives the operating characteristics of the design.
Author: Andrew G Chapple
Maintainer: Andrew G Chapple <achapp@lsuhsc.edu>

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Package pbv updated to version 0.2-16 with previous version 0.1-17 dated 2018-10-30

Title: Probabilities for Bivariate Normal Distribution
Description: Computes probabilities of the bivariate normal distribution in a vectorized R function (Drezner & Wesolowsky, 1990, <doi:10.1080/00949659008811236>).
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package modifiedmk updated to version 1.2.0 with previous version 1.1.0 dated 2018-06-20

Title: Modified Versions of Mann Kendall and Spearman's Rho Trend Tests
Description: Power of non-parametric Mann-Kendall test and Spearman’s Rho test is highly influenced by serially correlated data. To address this issue, trend tests may applied on the modified versions of the time series data by Block Bootstrapping (BBS), Prewhitening (PW) , Trend Free Prewhitening (TFPW), Bias Corrected Prewhitening and Variance Correction Approach by calculating effective sample size. Mann, H. B. (1945).<doi:10.1017/CBO9781107415324.004>. Kendall, M. (1975). Multivariate analysis. Charles Griffin&Company Ltd,. sen, P. K. (1968).<doi:10.2307/2285891>. Önöz, B., & Bayazit, M. (2012) <doi:10.1002/hyp.8438>. Hamed, K. H. (2009).<doi:10.1016/j.jhydrol.2009.01.040>. Yue, S., & Wang, C. Y. (2002) <doi:10.1029/2001WR000861>. Yue, S., Pilon, P., Phinney, B., & Cavadias, G. (2002) <doi:10.1002/hyp.1095>. Hamed, K. H., & Ramachandra Rao, A. (1998) <doi:10.1016/S0022-1694(97)00125-X>. Yue, S., & Wang, C. Y. (2004) <doi:10.1023/B:WARM.0000043140.61082.60>.
Author: Sandeep Kumar Patakamuri [aut, cre], Nicole O'Brien [aut, ctb]
Maintainer: Sandeep Kumar Patakamuri <sandeep.patakamuri@gmail.com>

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Package endorse updated to version 1.6.1 with previous version 1.6.0 dated 2017-06-25

Title: Bayesian Measurement Models for Analyzing Endorsement Experiments
Description: Fit the hierarchical and non-hierarchical Bayesian measurement models proposed by Bullock, Imai, and Shapiro (2011) <DOI:10.1093/pan/mpr031> to analyze endorsement experiments. Endorsement experiments are a survey methodology for eliciting truthful responses to sensitive questions. This methodology is helpful when measuring support for socially sensitive political actors such as militant groups. The model is fitted with a Markov chain Monte Carlo algorithm and produces the output containing draws from the posterior distribution.
Author: Yuki Shiraito [aut, cre], Kosuke Imai [aut], Bryn Rosenfeld [ctb]
Maintainer: Yuki Shiraito <shiraito@umich.edu>

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Package CENFA updated to version 1.0.0 with previous version 0.1.0 dated 2018-02-06

Title: Climate and Ecological Niche Factor Analysis
Description: Tools for climate- and ecological-niche factor analysis of spatial data, including methods for visualization of spatial variability of species sensitivity, exposure, and vulnerability to climate change. Processing of large files and parallel methods are supported. Ecological-niche factor analysis is described in Hirzel et al. (2002) <doi:10.2307/3071784> and Basille et al. (2008) <doi:10.1016/j.ecolmodel.2007.09.006>.
Author: D. Scott Rinnan
Maintainer: D. Scott Rinnan <scott.rinnan@yale.edu>

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Package ddsPLS updated to version 1.0.2 with previous version 1.0.1 dated 2018-10-12

Title: Multi-Data-Driven Sparse PLS Robust to Missing Samples
Description: Allows to build Multi-Data-Driven Sparse PLS models. Multi-blocks with high-dimensional settings are particularly sensible to this.
Author: Hadrien Lorenzo [aut, cre]
Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com>

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Package ps updated to version 1.2.1 with previous version 1.2.0 dated 2018-10-16

Title: List, Query, Manipulate System Processes
Description: List, query and manipulate all system processes, on 'Windows', 'Linux' and 'macOS'.
Author: Jay Loden [aut], Dave Daeschler [aut], Giampaolo Rodola' [aut], Gábor Csárdi [aut, cre], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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

Title: Genotype Quality Control with 'PLINK'
Description: Genotyping arrays enable the direct measurement of an individuals genotype at thousands of markers. 'plinkQC' facilitates genotype quality control for genetic association studies as described by Anderson and colleagues (2010) <doi:10.1038/nprot.2010.116>. It makes 'PLINK' basic statistics (e.g. missing genotyping rates per individual, allele frequencies per genetic marker) and relationship functions accessible from 'R' and generates a per-individual and per-marker quality control report. Individuals and markers that fail the quality control can subsequently be removed to generate a new, clean dataset. Removal of individuals based on relationship status is optimised to retain as many individuals as possible in the study.
Author: Hannah Meyer [aut, cre] (<https://orcid.org/0000-0003-4564-0899>)
Maintainer: Hannah Meyer <hannah@ebi.ac.uk>

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Package GRANCore updated to version 0.2.3 with previous version 0.2.2 dated 2018-05-09

Title: Classes and Methods for 'GRANBase'
Description: Provides the classes and methods for GRANRepository objects that are used within the 'GRAN' build framework for R packages. This is primarily used by the 'GRANBase' package and repositories that are created by it.
Author: Gabriel Becker[aut,cre], Dinakar Kulkarni [aut,ctb]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

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Package estimatr updated to version 0.14 with previous version 0.12 dated 2018-09-15

Title: Fast Estimators for Design-Based Inference
Description: Fast procedures for small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>.
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>

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Package epiR updated to version 0.9-99 with previous version 0.9-97 dated 2018-08-22

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Solymos, Kazuki Yoshida, Geoff Jones, Sarah Pirikahu, Simon Firestone, Ryan Kyle, Johann Popp and Mathew Jay.
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package CVXR updated to version 0.99-2 with previous version 0.99 dated 2018-05-26

Title: Disciplined Convex Optimization
Description: An object-oriented modeling language for disciplined convex programming (DCP). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution.
Author: Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Maintainer: Anqi Fu <anqif@stanford.edu>

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Package binomen (with last version 0.1.2) was removed from CRAN

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

2017-04-25 0.1.2
2015-12-07 0.1.0

Permanent link
Package Rchoice updated to version 0.3-1.1 with previous version 0.3-1 dated 2016-10-17

Title: Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters
Description: An implementation of simulated maximum likelihood method for the estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters for cross-sectional and longitudinal data.
Author: Mauricio Sarrias <msarrias86@gmail.com>
Maintainer: Mauricio Sarrias <msarrias86@gmail.com>

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Package pander updated to version 0.6.3 with previous version 0.6.2 dated 2018-07-08

Title: An R 'Pandoc' Writer
Description: Contains some functions catching all messages, 'stdout' and other useful information while evaluating R code and other helpers to return user specified text elements (like: header, paragraph, table, image, lists etc.) in 'pandoc' markdown or several type of R objects similarly automatically transformed to markdown format. Also capable of exporting/converting (the resulting) complex 'pandoc' documents to e.g. HTML, 'PDF', 'docx' or 'odt'. This latter reporting feature is supported in brew syntax or with a custom reference class with a smarty caching 'backend'.
Author: Gergely Daróczi [aut, cre] (<https://orcid.org/0000-0003-3149-8537>), Roman Tsegelskyi [aut]
Maintainer: Gergely Daróczi <daroczig@rapporter.net>

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New package oak with initial version 0.2.1
Package: oak
Type: Package
Title: Trees Creation and Manipulation
Version: 0.2.1
Date: 2018-10-31
Authors@R: person("Paul", "Poncet", , "paulponcet@yahoo.fr", role = c("aut", "cre"))
Description: Functions and classes to create and manipulate trees and nodes.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.1.3)
Imports: bazar, foreach, purrr, R6, rlist, rstudioapi, stats
Suggests: knitr, testthat
URL: https://github.com/paulponcet/oak
BugReports: https://github.com/paulponcet/oak/issues
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-31 14:52:41 UTC; YL1101
Author: Paul Poncet [aut, cre]
Maintainer: Paul Poncet <paulponcet@yahoo.fr>
Repository: CRAN
Date/Publication: 2018-11-06 10:20:03 UTC

More information about oak at CRAN
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Package MortalityLaws updated to version 1.7.0 with previous version 1.6.0 dated 2018-08-31

Title: Parametric Mortality Models, Life Tables and HMD
Description: Fit the most popular human mortality 'laws', and construct full and abridge life tables given various input indices. A mortality law is a parametric function that describes the dying-out process of individuals in a population during a significant portion of their life spans. For a comprehensive review of the most important mortality laws see Tabeau (2001) <doi:10.1007/0-306-47562-6_1>. An elegant function for downloading data from Human Mortality Database <https://www.mortality.org> is provided as well.
Author: Marius D. Pascariu [aut, cre, cph] (<https://orcid.org/0000-0002-2568-6489>), Vladimir Canudas-Romo [ctb]
Maintainer: Marius D. Pascariu <mpascariu@outlook.com>

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Package gmnl updated to version 1.1-3.1 with previous version 1.1-3 dated 2017-07-09

Title: Multinomial Logit Models with Random Parameters
Description: An implementation of maximum simulated likelihood method for the estimation of multinomial logit models with random coefficients. Specifically, it allows estimating models with continuous heterogeneity such as the mixed multinomial logit and the generalized multinomial logit. It also allows estimating models with discrete heterogeneity such as the latent class and the mixed-mixed multinomial logit model.
Author: Mauricio Sarrias [aut, cre], Ricardo Daziano [aut], Yves Croissant [ctb]
Maintainer: Mauricio Sarrias <msarrias86@gmail.com>

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Package ggtern updated to version 3.0.0.1 with previous version 3.0.0 dated 2018-08-22

Title: An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Description: Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website.
Author: Nicholas Hamilton [aut, cre]
Maintainer: Nicholas Hamilton <nick@ggtern.com>

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Package RVAideMemoire updated to version 0.9-70 with previous version 0.9-69-3 dated 2018-05-14

Title: Testing and Plotting Procedures for Biostatistics
Description: Contains miscellaneous functions useful in biostatistics, mostly univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions intend to simplify user's life by shortening existing procedures or by implementing plotting functions that can be used with as many methods from different packages as possible.
Author: Maxime Herv
Maintainer: Maxime Herv <maxime.herve@univ-rennes1.fr>

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Package roprov updated to version 0.1.2 with previous version 0.1.1 dated 2018-08-16

Title: Low-Level Support for Provenance Capture Between in-Memory R Objects
Description: A suite of classes and methods which provide low-level support for modeling provenance between in-memory R objects. This is an infrastructure package and is not intended to be used directly by end-users.
Author: Gabriel Becker
Maintainer: Gabriel Becker <gabembecker@gmail.com>

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Package gestalt updated to version 0.1.5 with previous version 0.1.4 dated 2018-08-02

Title: Tools for Making and Combining Functions
Description: Provides a suite of function-building tools centered around a (forward) composition operator, %>>>%, which extends the semantics of the 'magrittr' %>% operator and supports 'tidyverse' quasiquotation. It enables you to construct composite functions that can be inspected and transformed as list-like objects. In conjunction with %>>>%, a compact function constructor, fn(), and a function that performs partial application, partial(), are also provided. Both support quasiquotation.
Author: Eugene Ha [aut, cre]
Maintainer: Eugene Ha <eha@posteo.de>

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Package blmeco updated to version 1.2 with previous version 1.1 dated 2015-08-22

Title: Data Files and Functions Accompanying the Book "Bayesian Data Analysis in Ecology using R, BUGS and Stan"
Description: Data files and functions accompanying the book Korner-Nievergelt, Roth, von Felten, Guelat, Almasi, Korner-Nievergelt (2015) "Bayesian Data Analysis in Ecology using R, BUGS and Stan", Elsevier, New York.
Author: Fraenzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jerome Guelat, Bettina Almasi, Pius Korner-Nievergelt
Maintainer: Fraenzi Korner-Nievergelt <fraenzi.korner@oikostat.ch>

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Package eegkit updated to version 1.0-4 with previous version 1.0-3 dated 2018-05-24

Title: Toolkit for Electroencephalography Data
Description: Analysis and visualization tools for electroencephalography (EEG) data. Includes functions for (i) plotting EEG data, (ii) filtering EEG data, (iii) smoothing EEG data; (iv) frequency domain (Fourier) analysis of EEG data, (v) Independent Component Analysis of EEG data, and (vi) simulating event-related potential EEG data.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package sys updated to version 2.0 with previous version 1.6 dated 2018-07-24

Title: Powerful and Reliable Tools for Running System Commands in R
Description: Drop-in replacements for the base system2() function with fine control and consistent behavior across platforms. Supports clean interruption, timeout, background tasks, and streaming STDIN / STDOUT / STDERR over binary or text connections. Arguments on Windows automatically get encoded and quoted to work on different locales. On Unix platforms the package also provides functions for evaluating expressions inside a temporary fork. Such evaluations have no side effects on the main R process, and support reliable interrupts and timeouts. This provides the basis for a sandboxing mechanism.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Gábor Csárdi [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package list updated to version 9.0 with previous version 8.3 dated 2016-12-30

Title: Statistical Methods for the Item Count Technique and List Experiment
Description: Allows researchers to conduct multivariate statistical analyses of survey data with list experiments. This survey methodology is also known as the item count technique or the unmatched count technique and is an alternative to the commonly used randomized response method. The package implements the methods developed by Imai (2011) <doi:10.1198/jasa.2011.ap10415>, Blair and Imai (2012) <doi:10.1093/pan/mpr048>, Blair, Imai, and Lyall (2013) <doi:10.1111/ajps.12086>, Imai, Park, and Greene (2014) <doi:10.1093/pan/mpu017>, Aronow, Coppock, Crawford, and Green (2015) <doi:10.1093/jssam/smu023>, Chou, Imai, and Rosenfeld (2017) <doi:10.1177/0049124117729711>, and Blair, Chou, and Imai (2018) <https://imai.fas.harvard.edu/research/files/listerror.pdf>. This includes a Bayesian MCMC implementation of regression for the standard and multiple sensitive item list experiment designs and a random effects setup, a Bayesian MCMC hierarchical regression model with up to three hierarchical groups, the combined list experiment and endorsement experiment regression model, a joint model of the list experiment that enables the analysis of the list experiment as a predictor in outcome regression models, a method for combining list experiments with direct questions, and methods for diagnosing and adjusting for response error. In addition, the package implements the statistical test that is designed to detect certain failures of list experiments, and a placebo test for the list experiment using data from direct questions.
Author: Graeme Blair [aut, cre], Winston Chou [aut], Kosuke Imai [aut], Bethany Park [ctb], Alexander Coppock [ctb]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>

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Package rsvd updated to version 1.0.0 with previous version 0.9 dated 2017-12-08

Title: Randomized Singular Value Decomposition
Description: Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension reduction, and data compression. Classically, highly accurate deterministic matrix algorithms are used for this task. However, the emergence of large-scale data has severely challenged our computational ability to analyze big data. The concept of randomness has been demonstrated as an effective strategy to quickly produce approximate answers to familiar problems such as the singular value decomposition (SVD). The rsvd package provides several randomized matrix algorithms such as the randomized singular value decomposition (rsvd), randomized principal component analysis (rpca), randomized robust principal component analysis (rrpca), randomized interpolative decomposition (rid), and the randomized CUR decomposition (rcur). In addition several plot functions are provided. The methods are discussed in detail by Erichson et al. (2016) <arXiv:1608.02148>.
Author: N. Benjamin Erichson [aut, cre]
Maintainer: N. Benjamin Erichson <erichson@uw.edu>

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Package Conigrave updated to version 0.4.2 with previous version 0.4.1 dated 2018-08-09

Title: Flexible Tools for Multiple Imputation
Description: Provides a set of tools that can be used across 'data.frame' and 'imputationList' objects.
Author: James Conigrave
Maintainer: James Conigrave <james.conigrave@gmail.com>

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Package anytime updated to version 0.3.2 with previous version 0.3.1 dated 2018-07-03

Title: Anything to 'POSIXct' or 'Date' Converter
Description: Convert input in any one of character, integer, numeric, factor, or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of predefined formats, and relying on Boost facilities for date and time parsing.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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