Fri, 05 Jan 2018

Package lessR updated to version 3.7.0 with previous version 3.6.7 dated 2017-12-10

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. A confirmatory factor analysis of multiple indicator measurement models is available, as are pedagogical routines for data simulation such as for the Central Limit Theorem. Compatible with 'RStudio' and 'knitr' including generation of R markdown instructions for interpretative output.
Author: David W. Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 3.6.7 dated 2017-12-10 and 3.7.0 dated 2018-01-05

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Package fmbasics updated to version 0.3.0 with previous version 0.2.0 dated 2017-04-30

Title: Financial Market Building Blocks
Description: Implements basic financial market objects like currencies, currency pairs, interest rates and interest rate indices. You will be able to use Benchmark instances of these objects which have been defined using their most common conventions or those defined by International Swap Dealer Association (ISDA, <https://www.isda.org>) legal documentation.
Author: Imanuel Costigan [aut, cre]
Maintainer: Imanuel Costigan <i.costigan@me.com>

Diff between fmbasics versions 0.2.0 dated 2017-04-30 and 0.3.0 dated 2018-01-05

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Package synthpop updated to version 1.4-1 with previous version 1.4-0 dated 2017-11-20

Title: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control
Description: A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthesised data. For a description of the implemented method see Nowok, Raab and Dibben (2016) <doi:10.18637/jss.v074.i11>.
Author: Beata Nowok, Gillian M Raab, Joshua Snoke and Chris Dibben
Maintainer: Beata Nowok <beata.nowok@gmail.com>

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Package qlcData updated to version 0.2.1 with previous version 0.2.0 dated 2018-01-02

Title: Processing Data for Quantitative Language Comparison (QLC)
Description: This is a collection of functions to read, recode, and transcode data for QLC.
Author: Michael Cysouw
Maintainer: Michael Cysouw <cysouw@mac.com>

Diff between qlcData versions 0.2.0 dated 2018-01-02 and 0.2.1 dated 2018-01-05

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Package JuniperKernel updated to version 1.2.1.0 with previous version 1.2.0.0 dated 2018-01-04

Title: Kernel for 'Jupyter'
Description: Provides a full implementation of the 'Jupyter' <http://jupyter.org/> messaging protocol in C++ by leveraging 'Rcpp' and 'Xeus' <https://github.com/QuantStack/xeus>. 'Jupyter' supplies an interactive computing environment and a messaging protocol defined over 'ZeroMQ' for multiple programming languages. This package implements the 'Jupyter' kernel interface so that 'R' is exposed to this interactive computing environment. 'ZeroMQ' functionality is provided by the 'pbdZMQ' package. 'Xeus' is a C++ library that facilitates the implementation of kernels for 'Jupyter'. Additionally, 'Xeus' provides an interface to libraries that exist in the 'Jupyter' ecosystem for building widgets, plotting, and more <https://blog.jupyter.org/interactive-workflows-for-c-with-jupyter-fe9b54227d92>. 'JuniperKernel' uses 'Xeus' as a library for the 'Jupyter' messaging protocol.
Author: Spencer Aiello [aut, cre, cph], Wei-Chen Chen [ctb], Stephan Brumme [cph], Jake Luciani [cph], Tony Plate [cph], Matthieu Decorde [cph], RStudio (Hadley Wickham) [cph], Sylvain Corlay [cph], Johan Mabille [cph], Niels Lohmann [cph]
Maintainer: Spencer Aiello <spnrpa@gmail.com>

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Package metacoder updated to version 0.2.0 with previous version 0.1.3 dated 2017-05-23

Title: Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data
Description: A set of tools for parsing, manipulating, and graphing data classified by a hierarchy (e.g. a taxonomy).
Author: Zachary Foster [aut, cre], Niklaus Grunwald [ths]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

Diff between metacoder versions 0.1.3 dated 2017-05-23 and 0.2.0 dated 2018-01-05

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Package fdrDiscreteNull updated to version 1.3 with previous version 1.2 dated 2017-10-10

Title: False Discovery Rate Procedures Under Discrete and Heterogeneous Null Distributions
Description: It is known that current false discovery rate (FDR) procedures can be very conservative when applied to multiple testing in the discrete paradigm where p-values (and test statistics) have discrete and heterogeneous null distributions. This package implements more powerful weighted or adaptive FDR procedures for FDR control and estimation in the discrete paradigm. The package takes in the original data set rather than just the p-values in order to carry out the adjustments for discreteness and heterogeneity of p-value distributions. The package implements methods for two types of test statistics and their p-values: (a) binomial test on if two independent Poisson distributions have the same means, (b) Fisher's exact test on if the conditional distribution is the same as the marginal distribution for two binomial distributions, or on if two independent binomial distributions have the same probabilities of success.
Author: Xiongzhi Chen and Rebecca W. Doerge <rwdoerge@andrew.cmu.edu>
Maintainer: Xiongzhi Chen <xiongzhi.chen@wsu.edu>

Diff between fdrDiscreteNull versions 1.2 dated 2017-10-10 and 1.3 dated 2018-01-05

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Package ellipse updated to version 0.4.1 with previous version 0.3-8 dated 2013-04-13

Title: Functions for Drawing Ellipses and Ellipse-Like Confidence Regions
Description: Contains various routines for drawing ellipses and ellipse-like confidence regions, implementing the plots described in Murdoch and Chow (1996), A graphical display of large correlation matrices, The American Statistician 50, 178-180. There are also routines implementing the profile plots described in Bates and Watts (1988), Nonlinear Regression Analysis and its Applications.
Author: Duncan Murdoch <murdoch@stats.uwo.ca> and E. D. Chow (porting to R by Jesus M. Frias Celayeta <iosu@bureau.ucc.ie>)
Maintainer: Duncan Murdoch <murdoch@stats.uwo.ca>

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Package chillR updated to version 0.70.1 with previous version 0.70.0 dated 2018-01-04

Title: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
Description: The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat (e.g. see Luedeling (2012) <doi.org/10.1016/j.scienta.2012.07.011>). 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records (Luedeling and Gassner (2012) <doi.org/10.1016/j.agrformet.2011.10.020>). As of version 0.65, it also includes functions for generating weather scenarios with a weather generator, for conducting climate change analyses for temperature-based climatic metrics and for plotting results from such analyses. Since version 0.70, 'chillR' contains a function for interpolating hourly temperature records.
Author: Eike Luedeling
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

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Package ziphsmm updated to version 2.0.1 with previous version 1.0.8 dated 2017-10-23

Title: Zero-Inflated Poisson Hidden (Semi-)Markov Models
Description: Fit zero-inflated Poisson hidden (semi-)Markov models with or without covariates by directly minimizing the negative log likelihood function using the gradient descent algorithm. Multiple starting values should be used to avoid local minima.
Author: Zekun (Jack) Xu, Ye Liu, Ana-Maria Staicu, Eric Laber
Maintainer: Zekun (Jack) Xu <zekunxu@gmail.com>

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Package sfdct updated to version 0.0.5 with previous version 0.0.4 dated 2017-08-29

Title: Constrained Triangulation for Simple Features
Description: Build a constrained 'Delaunay' triangulation from simple features objects, applying constraints based on input line segments, and triangle properties including maximum area, minimum internal angle.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package ruler updated to version 0.1.1 with previous version 0.1.0 dated 2017-11-26

Title: Tidy Data Validation Reports
Description: Tools for creating data validation pipelines and tidy reports. This package offers a framework for exploring and validating data frame like objects using 'dplyr' grammar of data manipulation.
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>

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New package rapidraker with initial version 0.1.0
Package: rapidraker
Type: Package
Title: Rapid Automatic Keyword Extraction (RAKE) Algorithm
Version: 0.1.0
Authors@R: person("Christopher", "Baker", email = "chriscrewbaker@gmail.com", role = c("aut", "cre"))
Description: A 'Java' implementation of the RAKE algorithm (Rose, S., Engel, D., Cramer, N. and Cowley, W. (2010) <doi:10.1002/9780470689646.ch1>), which can be used to extract keywords from documents without any training data.
URL: https://crew102.github.io/slowraker/articles/rapidraker.html
BugReports: https://github.com/crew102/rapidraker/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1)
Imports: rJava, openNLPdata, slowraker, utils
Suggests: knitr, rmarkdown, testthat
SystemRequirements: Java (>= 7.0)
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2018-01-05 18:55:43 UTC; cbaker
Author: Christopher Baker [aut, cre]
Maintainer: Christopher Baker <chriscrewbaker@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-05 19:14:49 UTC

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Package ramchoice updated to version 0.2 with previous version 0.1 dated 2017-11-20

Title: Estimation and Inference in Random Attention Models
Description: It is widely documented in psychology, economics and other disciplines that socio-economic agents do not pay full attention to all available choices, rendering standard revealed preference theory invalid. This package implements the estimation and inference procedures documented in Cattaneo, Ma, Masatlioglu and Suleymanov (2017) <arXiv:1712.03448>, which utilizes standard choice data to partially identify and estimate decision maker's preference. For inference, several simulation-based critical values are provided.
Author: Matias D. Cattaneo, Xinwei Ma, Yusufcan Masatlioglu, Elchin Suleymanov
Maintainer: Xinwei Ma <xinweima@umich.edu>

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Package psychmeta updated to version 0.2.0 with previous version 0.1.3 dated 2017-12-13

Title: Psychometric Meta-Analysis Toolkit
Description: Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more.
Author: Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Michael T. Brannick [ctb], Jack Kostal [ctb], Sean Potter [ctb], Yuejia (Mandy) Teng [ctb]
Maintainer: Jeffrey A. Dahlke <dahlk068@umn.edu>

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Permanent link

New package refinr with initial version 0.2.0
Package: refinr
Title: Cluster and Merge Similar Values Within a Character Vector
Version: 0.2.0
Authors@R: person("Chris", "Muir", email = "chrismuirRVA@gmail.com", role = c("aut", "cre"))
Description: These functions take a character vector as input, identify and cluster similar values, and then merge clusters together so their values become identical. The functions are an implementation of the key collision and ngram fingerprint algorithms from the open source tool Open Refine <http://openrefine.org/>. More info on key collision and ngram fingerprint can be found here <https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth>.
Depends: R (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp, stringdist
RoxygenNote: 6.0.1
LinkingTo: Rcpp
URL: https://github.com/ChrisMuir/refinr
BugReports: https://github.com/ChrisMuir/refinr/issues
Suggests: testthat, knitr, rmarkdown, dplyr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-01-05 18:31:48 UTC; cmuir
Author: Chris Muir [aut, cre]
Maintainer: Chris Muir <chrismuirRVA@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-05 18:47:20 UTC

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New package PartCensReg with initial version 1.38
Package: PartCensReg
Type: Package
Title: Partially Censored Regression Models Based on Heavy-Tailed Distributions
Version: 1.38
Author: Marcela Nunez Lemus, Christian E. Galarza, Larissa Avila Matos, Victor H Lachos
Maintainer: Marcela Nunez Lemus <ra162510@ime.unicamp.br>
Imports: ssym, optimx, Matrix
Suggests: SMNCensReg, AER
Description: It estimates the parameters of a partially censored regression model via maximum penalized likelihood through a iterative EM-type algorithm. The model must belong to the semi-parametric family, including a parametric and nonparametric component. The error term considered belongs to the scale-mixture of normal (SMN) distribution, that includes well-known heavy tails distributions as the student's-t distribution among others. To examine the performance of the fitted model, case-deletion and local influence techniques are provided to show its robust aspect against outlying and influential observations. This work is based in Ferreira, C. S., & Paula, G. A. (2017) <doi:10.1080/02664763.2016.1267124> but considering the SMN family.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-01-05 16:39:19 UTC; ra143711
Repository: CRAN
Date/Publication: 2018-01-05 18:28:53 UTC

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New package diffusion with initial version 0.2.7
Package: diffusion
Type: Package
Title: Forecast the Diffusion of New Products
Version: 0.2.7
Authors@R: c(person("Oliver", "Schaer", email = "info@oliverschaer.ch", role = c("aut", "cre")), person("Nikolaos", "Kourentzes", email = "nikolaos@kourentzes.com", role = c("aut")))
URL: https://github.com/mamut86/diffusion
BugReports: https://github.com/mamut86/diffusion/issues
Description: Various diffusion models to forecast new product growth. Currently the package contains Bass, Gompertz and Gamma/Shifted Gompertz curves. See Meade and Islam (2006) <doi:10.1016/j.ijforecast.2006.01.005>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: dfoptim, nloptr, systemfit
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-05 16:34:46 UTC; Oliver Schär
Author: Oliver Schaer [aut, cre], Nikolaos Kourentzes [aut]
Maintainer: Oliver Schaer <info@oliverschaer.ch>
Repository: CRAN
Date/Publication: 2018-01-05 18:26:34 UTC

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Package BayesGOF updated to version 1.4 with previous version 1.3 dated 2017-11-16

Title: Bayesian Modeling via Goodness of Fit
Description: Non-parametric method for learning prior distribution starting with parametric (subjective) prior. It performs four interconnected tasks: (i) characterizes the uncertainty of the elicited prior; (ii) exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) performs macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. (2017, Technical Report).
Author: Subhadeep Mukhopadhyay, Douglas Fletcher
Maintainer: Doug Fletcher <tug25070@temple.edu>

Diff between BayesGOF versions 1.3 dated 2017-11-16 and 1.4 dated 2018-01-05

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Package probout updated to version 1.1.1 with previous version 1.0 dated 2017-11-06

Title: Unsupervised Multivariate Outlier Probabilities for Large Datasets
Description: Estimates unsupervised outlier probabilities for multivariate numeric data with many observations from a nonparametric outlier statistic.
Author: Chris Fraley [aut, cre]
Maintainer: Chris Fraley <cfraley@tableau.com>

Diff between probout versions 1.0 dated 2017-11-06 and 1.1.1 dated 2018-01-05

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Package tint updated to version 0.0.5 with previous version 0.0.4 dated 2017-11-03

Title: 'tint' is not 'Tufte'
Description: A 'tufte'-alike style for 'rmarkdown'.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package taxlist updated to version 0.1.3 with previous version 0.1.2 dated 2017-08-06

Title: Handling Taxonomic Lists
Description: Handling taxonomic lists through objects of class 'taxlist'. This package provides functions to import species lists from 'Turboveg' (<https://www.synbiosys.alterra.nl/turboveg>) and the possibility to create backups from resulting R-objects. Also quick displays are implemented in the summary-methods.
Author: Miguel Alvarez <kamapu78@gmail.com>
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

Diff between taxlist versions 0.1.2 dated 2017-08-06 and 0.1.3 dated 2018-01-05

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Package SpatialExtremes updated to version 2.0-6 with previous version 2.0-5 dated 2017-09-17

Title: Modelling Spatial Extremes
Description: Tools for the statistical modelling of spatial extremes using max-stable processes, copula or Bayesian hierarchical models. More precisely, this package allows (conditional) simulations from various parametric max-stable models, analysis of the extremal spatial dependence, the fitting of such processes using composite likelihoods or least square (simple max-stable processes only), model checking and selection and prediction. Other approaches (although not completely in agreement with the extreme value theory) are available such as the use of (spatial) copula and Bayesian hierarchical models assuming the so-called conditional assumptions. The latter approaches is handled through an (efficient) Gibbs sampler. Some key references: Davison et al. (2012) <doi:10.1214/11-STS376>, Padoan et al. (2010) <doi:10.1198/jasa.2009.tm08577>, Dombry et al. (2013) <doi:10.1093/biomet/ass067>.
Author: Mathieu Ribatet [aut, cre], Richard Singleton [ctb], R Core team [ctb]
Maintainer: Mathieu Ribatet <mathieu.ribatet@umontpellier.fr>

Diff between SpatialExtremes versions 2.0-5 dated 2017-09-17 and 2.0-6 dated 2018-01-05

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Package RRreg updated to version 0.6.4 with previous version 0.6.2 dated 2017-03-08

Title: Correlation and Regression Analyses for Randomized Response Data
Description: Univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69). <doi:10.2307/2283137> Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression (with or without random effects), as predictors in a linear regression, or as dependent variable in a beta-binomial ANOVA. For simulation and bootstrap purposes, RR data can be generated according to several models.
Author: Daniel W. Heck [aut, cre], Morten Moshagen [aut]
Maintainer: Daniel W. Heck <heck@uni-mannheim.de>

Diff between RRreg versions 0.6.2 dated 2017-03-08 and 0.6.4 dated 2018-01-05

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Package rmumps updated to version 5.1.2-4 with previous version 5.1.2-2 dated 2017-12-18

Title: Wrapper for MUMPS Library
Description: Some basic features of MUMPS (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU (or LDL^t) factorization and system solving. Third part ordering libraries are included and can be used: PORD, METIS, SCOTCH. MUMPS method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194> and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre], Emmanuel Agullo [ctb], Patrick Amestoy [ctb], Maurice Bremond [ctb], Alfredo Buttari [ctb], Philippe Combes [ctb], Marie Durand [ctb], Aurelia Fevre [ctb], Abdou Guermouche [ctb], Guillaume Joslin [ctb], Jacko Koster [ctb], Jean-Yves L'Excellent [ctb], Stephane Pralet [ctb], Chiara Puglisi [ctb], Francois-Henry Rouet [ctb], Wissam Sid-Lakhdar [ctb], Tzvetomila Slavova [ctb], Bora Ucar [ctb], Clement Weisbecker [ctb], Juergen Schulze [ctb], George Karypis [ctb], Douglas C. Schmidt [ctb], Isamu Hasegawa [ctb], Alexander Chemeris [ctb], Makoto Matsumoto [ctb], Takuji Nishimura [ctb], Francois Pellegrini [ctb], David Goudin [ctb], Pascal Henon [ctb], Pierre Ramet [ctb], Sebastien Fourestier [ctb], Jun-Ho Her [ctb], Cedric Chevalier [ctb], Timothy A. Davis [ctb], Iain S. Duff [ctb], John K. Reid [ctb], Richard Stallman [ctb], Samuel Thibault [ctb]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between rmumps versions 5.1.2-2 dated 2017-12-18 and 5.1.2-4 dated 2018-01-05

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Package paramlink updated to version 1.1-2 with previous version 1.1-1 dated 2017-08-14

Title: Parametric Linkage and Other Pedigree Analysis in R
Description: A suite of tools for analysing pedigrees with marker data, including parametric linkage analysis, forensic computations, relatedness analysis and marker simulations. The core of the package is an implementation of the Elston-Stewart algorithm for pedigree likelihoods, extended to allow mutations as well as complex inbreeding. Features for linkage analysis include singlepoint LOD scores, power analysis, and multipoint analysis (the latter through a wrapper to the 'MERLIN' software). Forensic applications include exclusion probabilities, genotype distributions and conditional simulations. Data from the 'Familias' software can be imported and analysed in 'paramlink'. Finally, 'paramlink' offers many utility functions for creating, manipulating and plotting pedigrees with or without marker data (the actual plotting is done by the 'kinship2' package).
Author: Magnus Dehli Vigeland [aut, cre], Thore Egeland [ctb], Guro Doerum [ctb]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between paramlink versions 1.1-1 dated 2017-08-14 and 1.1-2 dated 2018-01-05

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Package CREAM updated to version 1.1.0 with previous version 1.0.0 dated 2017-10-27

Title: Clustering of Genomic Regions Analysis Method
Description: Provides a new method for identification of clusters of genomic regions within chromosomes. Primarily, it is used for calling clusters of cis-regulatory elements (COREs). 'CREAM' uses genome-wide maps of genomic regions in the tissue or cell type of interest, such as those generated from chromatin-based assays including DNaseI, ATAC or ChIP-Seq. 'CREAM' considers proximity of the elements within chromosomes of a given sample to identify COREs in the following steps: 1) It identifies window size or the maximum allowed distance between the elements within each CORE, 2) It identifies number of elements which should be clustered as a CORE, 3) It calls COREs, 4) It filters the COREs with lowest order which does not pass the threshold considered in the approach.
Author: Seyed Ali Madani Tonekaboni [aut], Victor Kofia [aut], Mathieu Lupien [aut], Benjamin Haibe-Kains [aut, cre]
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>

Diff between CREAM versions 1.0.0 dated 2017-10-27 and 1.1.0 dated 2018-01-05

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New package washdata with initial version 0.1.2
Package: washdata
Type: Package
Title: Urban Water and Sanitation Survey Dataset
Version: 0.1.2
Authors@R: c( person("Ernest", "Guevarra", email = "ernestgmd@gmail.com", role = c("aut", "cre")), person("Valid International", "office@validinternational.org", email = "", role = "cph"), person("Water and Sanitation for the Urban Poor", "", email = "", role = "cph") )
Description: Urban water and sanitation survey dataset collected by Water and Sanitation for the Urban Poor (WSUP) with technical support from Valid International. These citywide surveys have been collecting data allowing water and sanitation service levels across the entire city to be characterised, while also allowing more detailed data to be collected in areas of the city of particular interest. These surveys are intended to generate useful information for others working in the water and sanitation sector. Current release version includes datasets collected from a survey conducted in Dhaka, Bangladesh in March 2017. This survey in Dhaka is one of a series of surveys to be conducted by WSUP in various cities in which they operate including Accra, Ghana; Nakuru, Kenya; Antananarivo, Madagascar; Maputo, Mozambique; and, Lusaka, Zambia. This package will be updated once the surveys in other cities are completed and datasets have been made available.
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/validmeasures/washdata/
BugReports: https://github.com/validmeasures/washdata/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-05 13:30:33 UTC; ernest
Author: Ernest Guevarra [aut, cre], Valid International office@validinternational.org [cph], Water and Sanitation for the Urban Poor [cph]
Maintainer: Ernest Guevarra <ernestgmd@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-05 15:59:19 UTC

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New package SARP.compo with initial version 0.0.2
Package: SARP.compo
Type: Package
Title: Network-based Interpretation of Changes in Compositional Data
Version: 0.0.2
Date: 2018-01-05
Authors@R: person( "Emmanuel", "Curis", email = "emmanuel.curis@parisdescartes.fr", role = c( "aut", "cre" ) )
Maintainer: Emmanuel Curis <emmanuel.curis@parisdescartes.fr>
License: Artistic-2.0
Description: Provides a set of functions to interpret changes in compositional data based on a network representation of all pairwise ratio comparisons: computation of all pairwise ratio, construction of a p-value matrix of all pairwise tests of these ratios between conditions, conversion of this matrix to a network.
Suggests:
Depends: igraph,car
Imports:
Encoding: UTF-8
Language: uk
NeedsCompilation: no
Packaged: 2018-01-05 13:12:14 UTC; curis
Author: Emmanuel Curis [aut, cre]
Repository: CRAN
Date/Publication: 2018-01-05 15:57:05 UTC

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Package PracTools updated to version 0.8 with previous version 0.7 dated 2017-11-23

Title: Tools for Designing and Weighting Survey Samples
Description: Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
Author: Richard Valliant, Jill A. Dever, Frauke Kreuter
Maintainer: Richard Valliant <rvallian@umd.edu>

Diff between PracTools versions 0.7 dated 2017-11-23 and 0.8 dated 2018-01-05

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Package measuRing updated to version 0.4.1 with previous version 0.4 dated 2017-05-11

Title: Detection and Control of Tree-Ring Widths on Scanned Image Sections
Description: Identification of ring borders on scanned image sections from dendrochronological samples. Processing of image reflectances to produce gray matrices and time series of smoothed gray values. Luminance data is plotted on segmented images for users to perform both: visual identification of ring borders, or control of automatic detection. Routines to visually include/exclude ring borders on the R graphical device, or automatically detect ring borders using a linear detection algorithm. This algorithm detects ring borders according to positive/negative extreme values in the smoothed time-series of gray values.
Author: Wilson Lara, Carlos Sierra, Felipe Bravo
Maintainer: Wilson Lara <wilarhen@gmail.com>

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Package languagelayeR updated to version 1.2.1 with previous version 1.1.0 dated 2017-07-18

Title: Access the 'languagelayer' API
Description: Improve your text analysis with languagelayer <https://languagelayer.com>, a powerful language detection API.
Author: Colin FAY [aut, cre]
Maintainer: Colin FAY <contact@colinfay.me>

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Package dbplot updated to version 0.2.0 with previous version 0.1.1 dated 2017-11-27

Title: Simplifies Plotting Data Inside Databases
Description: Leverages 'dplyr' to process the calculations of a plot inside a database. This package provides helper functions that abstract the work at three levels: outputs a 'ggplot', outputs the calculations, outputs the formula needed to calculate bins.
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@rstudio.com>

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New package phuse with initial version 0.1.5
Package: phuse
Type: Package
Title: Web Application Framework for 'PhUSE' Scripts
Version: 0.1.5
Author: Hanming Tu [aut, cre]
Authors@R: c( person("Hanming", "Tu", email = "hanming.tu@gmail.com",role = c("aut", "cre")) )
Maintainer: Hanming Tu <hanming.tu@gmail.com>
Description: Make it easy to review, download and execute scripts stored in Github 'phuse-scripts' repository <https://github.com/phuse-org/phuse-scripts>. Some examples included show the web application framework using the script metadata. The 'PhUSE' is Pharmaceutical Users Software Exchange <http://www.phuse.eu>.
Depends: R (>= 3.0.1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
Imports: yaml, shiny, RCurl, git2r, rlist
NeedsCompilation: no
Packaged: 2018-01-03 18:57:25 UTC; htu
Repository: CRAN
Date/Publication: 2018-01-05 13:54:25 UTC

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New package mra with initial version 2.16.11
Package: mra
Type: Package
Title: Mark-Recapture Analysis
Version: 2.16.11
Date: 2018-01-04
Authors@R: c( person("Trent", "McDonald", email="tmcdonald@west-inc.com", role=c("cre","aut")), person("Eric", "Regehr", email="eric_regehr@fws.gov", role=c("ctb")), person("Bryan", "Manly", email="BryanManly@xtra.co.nz", role=c("ctb")), person("Jeff", "Bromaghin", email="jbromaghin@usgs.gov", role=c("ctb")) )
Author: Trent McDonald [cre, aut], Eric Regehr [ctb], Bryan Manly [ctb], Jeff Bromaghin [ctb]
Maintainer: Trent McDonald <tmcdonald@west-inc.com>
Description: Accomplishes mark-recapture analysis with covariates. Models available include the Cormack-Jolly-Seber open population (Cormack (1972) <doi:10.2307/2556151>; Jolly (1965) <doi:10.2307/2333826>; Seber (1965) <doi:10.2307/2333827>) and Huggin's (1989) <doi:10.2307/2336377> closed population. Link functions include logit, sine, and hazard. Model selection, model averaging, plot, and simulation routines included. Open population size by the Horvitz-Thompson (1959) <doi:10.2307/2280784> estimator.
License: GNU General Public License
BugReports: https://github.com/tmcd82070/MRA/issues
Suggests: knitr
VignetteBuilder: knitr
Imports: stats, graphics
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-01-05 00:03:37 UTC; tmcdonald
Repository: CRAN
Date/Publication: 2018-01-05 13:48:51 UTC

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New package BDgraph with initial version 2.44
Package: BDgraph
Type: Package
Title: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Version: 2.44
Date: 2017-12-18
Author: Abdolreza Mohammadi and Ernst Wit
Depends: R (>= 3.0.0), Matrix, igraph
Maintainer: Abdolreza Mohammadi <a.mohammadi@uva.nl>
Description: Provides statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889> and Mohammadi et al. (2017) <doi:10.1111/rssc.12171>. To speed up the computations, the BDMCMC sampling algorithms are implemented in parallel using OpenMP in C++.
Acknowledgements: The help of the CRAN team to integrate C++ code with R is gratefully acknowledged.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2018-01-05 10:19:18 UTC; mohammad
Repository: CRAN
Date/Publication: 2018-01-05 13:33:43 UTC
NeedsCompilation: yes

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Package sp updated to version 1.2-6 with previous version 1.2-5 dated 2017-06-29

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Josh O'Brien [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package RVAideMemoire updated to version 0.9-69 with previous version 0.9-68 dated 2017-08-21

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 msaenet updated to version 2.8 with previous version 2.7 dated 2017-09-24

Title: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Description: Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) <DOI:10.1080/00949655.2015.1016944>, with support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.
Author: Nan Xiao [aut, cre] (0000-0002-0250-5673), Qing-Song Xu [aut]
Maintainer: Nan Xiao <me@nanx.me>

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Package mombf updated to version 1.9.6 with previous version 1.9.5 dated 2017-05-26

Title: Moment and Inverse Moment Bayes Factors
Description: Model selection and parameter estimation based on non-local and Zellner priors. Bayes factors, marginal densities and variable selection in regression setups. Routines to sample, evaluate prior densities, distribution functions and quantiles are included.
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck
Maintainer: David Rossell <rosselldavid@gmail.com>

Diff between mombf versions 1.9.5 dated 2017-05-26 and 1.9.6 dated 2018-01-05

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Package MAPA updated to version 2.0.4 with previous version 2.0.2 dated 2017-06-05

Title: Multiple Aggregation Prediction Algorithm
Description: Functions and wrappers for using the Multiple Aggregation Prediction Algorithm (MAPA) for time series forecasting. MAPA models and forecasts time series at multiple temporal aggregation levels, thus strengthening and attenuating the various time series components for better holistic estimation of its structure. For details see Kourentzes et al. (2014) <doi:10.1016/j.ijforecast.2013.09.006>.
Author: Nikolaos Kourentzes [aut, cre], Fotios Petropoulos [aut]
Maintainer: Nikolaos Kourentzes <nikolaos@kourentzes.com>

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Package filesstrings updated to version 2.0.2 with previous version 2.0.1 dated 2017-12-12

Title: Handy File and String Manipulation
Description: Convenient functions for moving files, deleting directories, and a variety of string operations that facilitate manipulating files and extracting information from strings.
Author: Rory Nolan [aut, cre, cph], Sergi Padilla-Parra [ths]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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New package coindeskr with initial version 0.1.0
Package: coindeskr
Type: Package
Title: Access 'CoinDesk' Bitcoin Price Index API
Version: 0.1.0
Date: 2018-01-05
Authors@R: person("AbdulMajedRaja","RS", email = "amrrs.data@gmail.com", role = c("aut","cre"))
Description: Extract real-time Bitcoin price details by accessing 'CoinDesk' Bitcoin price Index API <https://www.coindesk.com/api/>.
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
Imports: httr, jsonlite
URL: https://github.com/amrrs/coindeskr
BugReports: https://github.com/amrrs/coindeskr/issues
NeedsCompilation: no
Packaged: 2018-01-05 12:34:47 UTC; Sabi
Author: AbdulMajedRaja RS [aut, cre]
Maintainer: AbdulMajedRaja RS <amrrs.data@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-05 13:14:16 UTC

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Package BDgraph (with last version 2.43) was removed from CRAN

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

2017-11-18 2.43
2017-11-06 2.42
2017-10-16 2.41
2017-08-14 2.40
2017-06-21 2.39
2017-06-20 2.38
2017-05-24 2.37
2017-04-28 2.36
2017-04-15 2.35
2017-04-14 2.34
2017-02-12 2.33
2017-01-09 2.32
2016-12-20 2.31
2016-11-15 2.30
2016-10-11 2.29
2016-10-03 2.28
2016-04-22 2.27
2015-12-21 2.26
2015-11-19 2.25
2015-11-18 2.24
2015-09-30 2.23
2015-08-31 2.22
2015-08-23 2.21
2015-08-21 2.20
2015-06-16 2.19
2015-04-19 2.18
2015-03-10 2.17
2015-02-27 2.16
2015-01-23 2.15
2014-12-19 2.14
2014-11-17 2.13
2014-09-24 2.12
2014-09-23 2.11
2014-07-11 2.10
2014-07-02 2.9
2014-05-29 2.8
2013-12-20 2.7
2013-05-06 2.6
2013-04-29 2.5
2013-04-22 2.4
2013-04-08 2.3
2013-03-24 2.2
2013-03-17 2.1
2013-02-05 2.0
2012-10-24 1.2
2012-10-08 1.1
2012-09-26 1.0

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New package wavefunction with initial version 1.0.0
Package: wavefunction
Type: Package
Title: Wave Function Representation of Real Distributions
Version: 1.0.0
Date: 2018-01-04
Author: Madeleine B. Thompson
Maintainer: Madeleine B. Thompson <madeleine@empirical.com>
Description: Real probability distributions can be represented as the square of an orthogonal sum in the Hermite basis. This representation is formally similar to the representation of quantum mechanical states as wave functions, whose squared modulus is a probability density. This is described in more detail in "Wave function representation of probability distributions," by Madeleine B. Thompson <arXiv:1712.07764>. This package provides a reference implementation of the technique.
License: Apache License (== 2.0)
Suggests: lintr, testthat
NeedsCompilation: no
Packaged: 2018-01-04 22:42:05 UTC; madeleine
Repository: CRAN
Date/Publication: 2018-01-05 12:16:35 UTC

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Package unitedR updated to version 0.3.1 with previous version 0.3 dated 2018-01-03

Title: Assessment and Evaluation of Formations in United
Description: United is a software tool which can be downloaded at the following website <http://www.schroepl.net/pbm/software/united/>. In general, it is a virtual manager game for football teams. This package contains helpful functions for determining an optimal formation for a virtual match in United. E.g. knowing that the opponent has a strong defensive it is advisable to beat him in the midfield. Furthermore, this package contains functions for computing the optimal usage of hardness in a game.
Author: David Schindler [aut, cre]
Maintainer: David Schindler <dv.schindler@gmail.com>

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New package seminr with initial version 0.3.1
Package: seminr
Type: Package
Title: Domain-Specific Language for Building PLS Structural Equation Models
Version: 0.3.1
Date: 2018-01-03
Authors@R: c(person("Soumya", "Ray", email = "soumya.ray@gmail.com", role = c("aut", "ths")), person("Nicholas", "Danks", email = "nicholasdanks@hotmail.com", role = c("aut","cre")))
Description: A powerful, easy to write and easy to modify syntax for specifying and estimating Partial Least Squares (PLS) path models allowing for the latest estimation methods for Consistent PLS as per Dijkstra & Henseler (2015, MISQ 39(2): 297-316), adjusted interactions as per Henseler & Chin (2010) <doi:10.1080/10705510903439003> and bootstrapping utilizing parallel processing as per Hair et al. (2017, ISBN:978-1483377445).
Imports: parallel
License: GPL-3
Depends: R (>= 3.1.0)
LazyData: TRUE
RoxygenNote: 6.0.1
Suggests: knitr, testthat, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-01-05 07:29:00 UTC; danksnicholas
Author: Soumya Ray [aut, ths], Nicholas Danks [aut, cre]
Maintainer: Nicholas Danks <nicholasdanks@hotmail.com>
Repository: CRAN
Date/Publication: 2018-01-05 12:36:31 UTC

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New package GPM with initial version 1.0
Package: GPM
Type: Package
Title: Gaussian Process Modeling of Multi-Response Datasets
Version: 1.0
Date: 2018-01-03
Author: Ramin Bostanabad
Maintainer: Ramin Bostanabad <bostanabad@u.northwestern.edu>
Description: Provides a general and efficient tool for fitting a response surface to datasets via Gaussian processes. The dataset can have multiple responses. The package is based on the work of Bostanabad, R., Kearney, T., Tao, S., Apley, D. W. & Chen, W. Leveraging the nugget parameter for efficient Gaussian process modeling (2017) <doi:10.1002/nme.5751>.
License: GPL-2
LazyData: FALSE
Imports: lhs(>= 0.14), randtoolbox(>= 1.17), lattice(>= 0.20-34)
Depends: R (>= 3.2.5), stats (>= 3.2.5)
Repository: CRAN
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-01-04 21:42:24 UTC; ramin
Date/Publication: 2018-01-05 12:10:18 UTC

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New package APPEstimation with initial version 0.1.1
Package: APPEstimation
Type: Package
Title: Adjusted Prediction Model Performance Estimation
Version: 0.1.1
Depends: densratio
Date: 2018-1-4
Author: Eisuke Inoue, Hajime Uno
Maintainer: Eisuke Inoue <eisuke.inoue@marianna-u.ac.jp>
Description: Calculating predictive model performance measures adjusted for predictor distributions using density ratio method (Sugiyama et al., (2012, ISBN:9781139035613)). L1 and L2 error for continuous outcome and C-statistics for binomial outcome are computed.
License: GPL-2
NeedsCompilation: no
Packaged: 2018-01-05 02:55:47 UTC; inoue
Repository: CRAN
Date/Publication: 2018-01-05 12:30:40 UTC

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New package walmartAPI with initial version 0.1.5
Package: walmartAPI
Type: Package
Title: Walmart Open API Wrapper
Version: 0.1.5
Authors@R: person("Emil", "Hvitfeldt", email = "emilhhvitfeldt@gmail.com", role = c("aut", "cre"))
Description: Provides API access to the Walmart Open API <https://developer.walmartlabs.com/>, that contains data about stores, Value of the day and products which includes names, sale prices, shipping rates and taxonomies.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: glue, purrr, httr, tibble, magrittr, stringr, dplyr
URL: https://github.com/EmilHvitfeldt/walmartAPI
NeedsCompilation: no
Packaged: 2018-01-04 20:03:34 UTC; Emilhvitfeldthansen
Author: Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Repository: CRAN
Date/Publication: 2018-01-05 09:44:45 UTC

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New package trajr with initial version 1.0.0
Package: trajr
Type: Package
Title: Animal Trajectory Analysis
Version: 1.0.0
Date: 2017-12-21
Authors@R: person("Jim", "McLean", email = "jim_mclean@optusnet.com.au", role = c("aut", "cre"))
Description: A toolbox to assist with statistical analysis of 2-dimensional animal trajectories. It provides simple access to algorithms for calculating and assessing a variety of characteristics such as speed and acceleration, as well as multiple measures of straightness or tortuosity. Turchin (1998, ISBN:0878938478).
License: MIT + file LICENSE
URL: https://github.com/JimMcL/trajr
BugReports: https://github.com/JimMcL/trajr/issues
Encoding: UTF-8
LazyData: true
Imports: signal, utils, stats, graphics, plotrix, grDevices
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
BuildVignettes: true
NeedsCompilation: no
Packaged: 2018-01-04 21:25:18 UTC; jim_m
Author: Jim McLean [aut, cre]
Maintainer: Jim McLean <jim_mclean@optusnet.com.au>
Repository: CRAN
Date/Publication: 2018-01-05 09:56:56 UTC

More information about trajr at CRAN
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New package profile with initial version 1.0
Package: profile
Title: Read, Manipulate, and Write Profiler Data
Version: 1.0
Date: 2018-01-03
Authors@R: c( person("Kirill", "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org"), person("R Consortium", role = "fnd") )
Description: Defines a data structure for profiler data, and methods to read and write from the 'Rprof' and 'pprof' file formats.
License: MIT + file LICENSE
URL: https://github.com/r-prof/profile, https://r-prof.github.io/profile
BugReports: https://github.com/r-prof/profile/issues
Imports: methods, rlang, tibble, withr
Suggests: RProtoBuf, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Collate: 'api.R' 'compat-purrr.R' 'pprof-from-ds.R' 'rprof-read.R' 'pprof-read.R' 'pprof-to-ds.R' 'rprof-write.R' 'pprof-write.R' 'profile-package.R' 'proto.R' 'rprof-from-ds.R' 'rprof-to-ds.R' 'utils.R'
NeedsCompilation: no
Packaged: 2018-01-03 22:26:28 UTC; muelleki
Author: Kirill Müller [aut, cre], R Consortium [fnd]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>
Repository: CRAN
Date/Publication: 2018-01-05 10:19:17 UTC

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Package pbdSLAP updated to version 0.2-3 with previous version 0.2-2 dated 2016-09-25

Title: Programming with Big Data -- Scalable Linear Algebra Packages
Description: Utilizing scalable linear algebra packages mainly including BLACS, PBLAS, and ScaLAPACK in double precision via pbdMPI based on ScaLAPACK version 2.0.2.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut], Brian Ripley [ctb] (Solaris & Mac)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdSLAP versions 0.2-2 dated 2016-09-25 and 0.2-3 dated 2018-01-05

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Package mplot updated to version 0.8.2 with previous version 0.8.1 dated 2017-11-18

Title: Graphical Model Stability and Variable Selection Procedures
Description: Model stability and variable inclusion plots [Mueller and Welsh (2010, <doi:10.1111/j.1751-5823.2010.00108.x>); Murray, Heritier and Mueller (2013, <doi:10.1002/sim.5855>)] as well as the adaptive fence [Jiang et al. (2008, <doi:10.1214/07-AOS517>); Jiang et al. (2009, <doi:10.1016/j.spl.2008.10.014>)] for linear and generalised linear models.
Author: Garth Tarr [aut, cre], Samuel Mueller [aut], Alan H Welsh [aut]
Maintainer: Garth Tarr <garth.tarr@gmail.com>

Diff between mplot versions 0.8.1 dated 2017-11-18 and 0.8.2 dated 2018-01-05

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New package MomTrunc with initial version 1.37
Package: MomTrunc
Type: Package
Title: Moments of Folded and Doubly Truncated Multivariate Distributions
Version: 1.37
Author: Christian E. Galarza, Victor H. Lachos
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>
Imports: matrixcalc, mvtnorm
Suggests: TTmoment
Description: It computes the raw moments for the folded and truncated multivariate normal and Student's t-distribution. It also offers specific functions to compute the mean and variance-covariance matrix as well as the cumulative distribution function (cdf) for the folded normal and folded t-distribution. Algorithms are extensions based on Kan, R., & Robotti, C. (2017) <doi:10.1080/10618600.2017.1322092>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-01-03 22:44:21 UTC; ra143711
Repository: CRAN
Date/Publication: 2018-01-05 10:20:59 UTC

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Package MatManlyMix updated to version 1.1.1 with previous version 0.1.2 dated 2017-08-05

Title: Matrix Clustering with Gaussian and Manly Mixture Models
Description: Matrix clustering with finite mixture models.
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 MatManlyMix versions 0.1.2 dated 2017-08-05 and 1.1.1 dated 2018-01-05

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Package LearnGeom updated to version 1.3 with previous version 1.2 dated 2017-12-03

Title: Learning Plane Geometry
Description: Contains some functions to learn and teach basic plane Geometry at undergraduate level with the aim of being helpful to young students with little programming skills.
Author: Alvaro Briz-Redon, Angel Serrano-Aroca
Maintainer: Alvaro Briz-Redon <albrizre@gmail.com>

Diff between LearnGeom versions 1.2 dated 2017-12-03 and 1.3 dated 2018-01-05

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Package hmi updated to version 0.8.2 with previous version 0.8.1 dated 2017-11-18

Title: Hierarchical Multiple Imputation
Description: Runs single level and multilevel imputation models. The user just has to pass the data to the main function and, optionally, his analysis model. Basically the package then translates this analysis model into commands to impute the data according to it with functions from 'mice', 'MCMCglmm' or routines build for this package.
Author: Matthias Speidel [aut, cre] (Institute for Employment Research, Nuremberg, Germany), Joerg Drechsler [aut] (Institute for Employment Research, Nuremberg, Germany), Shahab Jolani [aut] (Maastricht University, Maastricht, The Netherlands)
Maintainer: Matthias Speidel <matthias.speidel@googlemail.com>

Diff between hmi versions 0.8.1 dated 2017-11-18 and 0.8.2 dated 2018-01-05

 hmi-0.8.1/hmi/R/hmi_imp_roundedcont_2017-10-18.R                                                       |only
 hmi-0.8.1/hmi/R/hmi_smallfunctions_2017-11-14.R                                                        |only
 hmi-0.8.1/hmi/R/hmi_wrapper_2017-10-12.R                                                               |only
 hmi-0.8.1/hmi/man/components.Rd                                                                        |only
 hmi-0.8.1/hmi/man/negloglik2.Rd                                                                        |only
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 hmi-0.8.2/hmi/DESCRIPTION                                                                              |    6 
 hmi-0.8.2/hmi/MD5                                                                                      |  201 ++++------
 hmi-0.8.2/hmi/R/hmi_imp_binary_multi_2017-10-12.R                                                      |    8 
 hmi-0.8.2/hmi/R/hmi_imp_binary_single_2017-04-11.R                                                     |    6 
 hmi-0.8.2/hmi/R/hmi_imp_cat_multi_2017-11-17.R                                                         |   10 
 hmi-0.8.2/hmi/R/hmi_imp_cat_single_2017-04-13.R                                                        |    6 
 hmi-0.8.2/hmi/R/hmi_imp_catordered_multi_2017-11-13.R                                                  |   12 
 hmi-0.8.2/hmi/R/hmi_imp_catordered_single_2017-08-02.R                                                 |    5 
 hmi-0.8.2/hmi/R/hmi_imp_cont_multi_2017-10-25.R                                                        |   11 
 hmi-0.8.2/hmi/R/hmi_imp_cont_single_2017-04-11.R                                                       |    6 
 hmi-0.8.2/hmi/R/hmi_imp_count_multi_2017-10-12.R                                                       |   10 
 hmi-0.8.2/hmi/R/hmi_imp_count_single_2017-10-12.R                                                      |    8 
 hmi-0.8.2/hmi/R/hmi_imp_interval_2017-10-17.R                                                          |    6 
 hmi-0.8.2/hmi/R/hmi_imp_roundedcont_2017-12-27.R                                                       |only
 hmi-0.8.2/hmi/R/hmi_imp_semicont_multi_2017-10-12.R                                                    |   12 
 hmi-0.8.2/hmi/R/hmi_imp_semicont_single_2017-04-11.R                                                   |   11 
 hmi-0.8.2/hmi/R/hmi_smallfunctions_2017-12-28.R                                                        |only
 hmi-0.8.2/hmi/R/hmi_wrapper_2017-12-20.R                                                               |only
 hmi-0.8.2/hmi/build/vignette.rds                                                                       |binary
 hmi-0.8.2/hmi/inst/doc/my-vignette.R                                                                   |   10 
 hmi-0.8.2/hmi/inst/doc/my-vignette.Rmd                                                                 |   12 
 hmi-0.8.2/hmi/inst/doc/my-vignette.html                                                                |    8 
 hmi-0.8.2/hmi/man/as.data.frame.interval.Rd                                                            |    2 
 hmi-0.8.2/hmi/man/as.interval.Rd                                                                       |    2 
 hmi-0.8.2/hmi/man/center.interval.Rd                                                                   |    2 
 hmi-0.8.2/hmi/man/chaincheck.Rd                                                                        |    2 
 hmi-0.8.2/hmi/man/cleanup.Rd                                                                           |    2 
 hmi-0.8.2/hmi/man/contributions4intervals.Rd                                                           |    2 
 hmi-0.8.2/hmi/man/decompose_interval.Rd                                                                |    2 
 hmi-0.8.2/hmi/man/doubleintegral.Rd                                                                    |    2 
 hmi-0.8.2/hmi/man/extract_varnames.Rd                                                                  |    2 
 hmi-0.8.2/hmi/man/fixed_intercept_check.Rd                                                             |    2 
 hmi-0.8.2/hmi/man/generate_interval.Rd                                                                 |    2 
 hmi-0.8.2/hmi/man/get_type.Rd                                                                          |    6 
 hmi-0.8.2/hmi/man/hmi.Rd                                                                               |   15 
 hmi-0.8.2/hmi/man/hmi_pool.Rd                                                                          |    2 
 hmi-0.8.2/hmi/man/idf2interval.Rd                                                                      |    2 
 hmi-0.8.2/hmi/man/imp_binary_multi.Rd                                                                  |    4 
 hmi-0.8.2/hmi/man/imp_binary_single.Rd                                                                 |    4 
 hmi-0.8.2/hmi/man/imp_cat_multi.Rd                                                                     |    4 
 hmi-0.8.2/hmi/man/imp_cat_single.Rd                                                                    |    4 
 hmi-0.8.2/hmi/man/imp_cont_multi.Rd                                                                    |    6 
 hmi-0.8.2/hmi/man/imp_cont_single.Rd                                                                   |    4 
 hmi-0.8.2/hmi/man/imp_count_multi.Rd                                                                   |    6 
 hmi-0.8.2/hmi/man/imp_count_single.Rd                                                                  |    7 
 hmi-0.8.2/hmi/man/imp_interval.Rd                                                                      |    4 
 hmi-0.8.2/hmi/man/imp_orderedcat_multi.Rd                                                              |    6 
 hmi-0.8.2/hmi/man/imp_orderedcat_single.Rd                                                             |    4 
 hmi-0.8.2/hmi/man/imp_roundedcont.Rd                                                                   |   10 
 hmi-0.8.2/hmi/man/imp_semicont_multi.Rd                                                                |    6 
 hmi-0.8.2/hmi/man/imp_semicont_single.Rd                                                               |    5 
 hmi-0.8.2/hmi/man/imputationcycle.Rd                                                                   |    7 
 hmi-0.8.2/hmi/man/interval-add.Rd                                                                      |    2 
 hmi-0.8.2/hmi/man/interval-divide.Rd                                                                   |    2 
 hmi-0.8.2/hmi/man/interval-multiply.Rd                                                                 |    2 
 hmi-0.8.2/hmi/man/interval-subtract.Rd                                                                 |    2 
 hmi-0.8.2/hmi/man/interval2idf.Rd                                                                      |    2 
 hmi-0.8.2/hmi/man/is.na.interval.Rd                                                                    |    2 
 hmi-0.8.2/hmi/man/is_interval.Rd                                                                       |    2 
 hmi-0.8.2/hmi/man/list_of_types_maker.Rd                                                               |    6 
 hmi-0.8.2/hmi/man/negloglik.Rd                                                                         |only
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 hmi-0.8.2/hmi/man/pbivnormX.Rd                                                                         |    2 
 hmi-0.8.2/hmi/man/plot.interval.Rd                                                                     |    2 
 hmi-0.8.2/hmi/man/random_intercept_check.Rd                                                            |    2 
 hmi-0.8.2/hmi/man/resetPar.Rd                                                                          |    2 
 hmi-0.8.2/hmi/man/sample_imp.Rd                                                                        |    2 
 hmi-0.8.2/hmi/man/sampler.Rd                                                                           |    2 
 hmi-0.8.2/hmi/man/sna_interval.Rd                                                                      |    2 
 hmi-0.8.2/hmi/man/split_interval.Rd                                                                    |    2 
 hmi-0.8.2/hmi/man/stand.Rd                                                                             |    6 
 hmi-0.8.2/hmi/vignettes/my-vignette.Rmd                                                                |   12 
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New package getTBinR with initial version 0.5.0
Package: getTBinR
Type: Package
Version: 0.5.0
Title: Get WHO Tuberculosis Data
Authors@R: c(person("Sam Abbott", role = c("aut", "cre"), email = "contact@samabbott.co.uk"))
Description: Facilitates easy import of analysis ready World Health Organisation Tuberculosis data and provides plotting functions for exploratory data analysis.
License: GPL-3 | file LICENSE
VignetteBuilder: knitr
URL: http://www.samabbott.co.uk/getTBinR, https://github.com/seabbs/getTBinR
BugReports: https://github.com/seabbs/getTBinR/issues
Encoding: UTF-8
RoxygenNote: 6.0.1
LazyData: true
Depends: R (>= 2.10)
Suggests: devtools, testthat, covr, rmarkdown, knitr
Imports: data.table, tibble, dplyr, purrr, ggplot2, magrittr, plotly, ggthemes, viridis
NeedsCompilation: no
Packaged: 2018-01-04 20:41:39 UTC; gettbinr
Author: Sam Abbott [aut, cre]
Maintainer: Sam Abbott <contact@samabbott.co.uk>
Repository: CRAN
Date/Publication: 2018-01-05 10:14:51 UTC

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New package DNetFinder with initial version 1.0
Package: DNetFinder
Type: Package
Title: Estimating Differential Networks under Semiparametric Gaussian Graphical Models
Version: 1.0
Depends: R (>= 3.3.0), flare, stats
Date: 2017-12-21
Author: Qingyang Zhang
Maintainer: Qingyang Zhang <qz008@uark.edu>
Description: Provides a modified hierarchical test (Liu (2017) <doi:10.1214/17-AOS1539>) for detecting the structural difference between two Semiparametric Gaussian graphical models. The multiple testing procedure asymptotically controls the false discovery rate (FDR) at a user-specified level. To construct the test statistic, a truncated estimator is used to approximate the transformation functions and two R functions including lassoGGM() and lassoNPN() are provided to compute the lasso estimates of the regression coefficients.
License: GPL-3
NeedsCompilation: no
Packaged: 2018-01-04 22:04:23 UTC; qingyangzhang
Repository: CRAN
Date/Publication: 2018-01-05 10:00:34 UTC

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Package bReeze updated to version 0.4-2 with previous version 0.4-1 dated 2017-07-31

Title: Functions for Wind Resource Assessment
Description: A collection of functions to analyse, visualize and interpret wind data and to calculate the potential energy production of wind turbines.
Author: Christian Graul and Carsten Poppinga
Maintainer: Christian Graul <christian.graul@gmail.com>

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Package labeltodendro (with last version 1.3) was removed from CRAN

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

2013-01-27 1.3

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Package Blossom (with last version 1.4) was removed from CRAN

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

2016-03-08 1.4
2015-10-14 1.2
2015-10-14 1.3

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Package RSAgeo (with last version 1.2) was removed from CRAN

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

2016-05-20 1.2
2016-05-19 1.1
2016-05-06 1.0

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Package gRapHD (with last version 0.2.4) was removed from CRAN

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

2014-03-09 0.2.4
2013-04-14 0.2.3
2011-05-26 0.2.2
2011-04-26 0.2.1
2010-11-01 0.2.0
2010-10-23 0.1.9
2010-09-01 0.1.8
2010-08-17 0.1.7
2010-03-05 0.1.6
2010-01-20 0.1.5
2010-01-19 0.1.4
2010-01-11 0.1.3
2009-09-21 0.1.0

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Package validaRA (with last version 0.1.1) was removed from CRAN

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

2017-10-19 0.1.1
2017-10-12 0.1.0

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Package relSim updated to version 0.2-9 with previous version 0.2-0 dated 2015-04-03

Title: Relative Simulator
Description: A set of tools to explore the behaviour statistics used for forensic DNA interpretation when close relatives are involved. The package also offers some useful tools for exploring other forensic DNA situations.
Author: James M. Curran
Maintainer: James M. Curran <j.curran@auckland.ac.nz>

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Package remoter updated to version 0.4-0 with previous version 0.3-2 dated 2016-04-29

Title: Remote R: Control a Remote R Session from a Local One
Description: A set of utilities for client/server computing with R, controlling a remote R session (the server) from a local one (the client). Simply set up a server (see package vignette for more details) and connect to it from your local R session ('RStudio', terminal, etc). The client/server framework is a custom 'REPL' and runs entirely in your R session without the need for installing a custom environment on your system. Network communication is handled by the 'ZeroMQ' library by way of the 'pbdZMQ' package.
Author: Drew Schmidt [aut, cre], Wei-Chen Chen [aut], R Core team [ctb] (some functions are modified from the R source code)
Maintainer: Drew Schmidt <wrathematics@gmail.com>

Diff between remoter versions 0.3-2 dated 2016-04-29 and 0.4-0 dated 2018-01-05

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Package jtools updated to version 0.9.1 with previous version 0.9.0 dated 2017-11-12

Title: Analysis and Presentation of Social Scientific Data
Description: This is a collection of tools that the author (Jacob) has written for the purpose of more efficiently understanding and sharing the results of (primarily) regression analyses. There are a number of functions focused specifically on the interpretation and presentation of interactions in linear models. Just about everything supports models from the survey package.
Author: Jacob A. Long [aut, cre] (0000-0002-1582-6214)
Maintainer: Jacob A. Long <long.1377@osu.edu>

Diff between jtools versions 0.9.0 dated 2017-11-12 and 0.9.1 dated 2018-01-05

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Package generalCorr updated to version 1.1.0 with previous version 1.0.9 dated 2017-10-03

Title: Generalized Correlations and Initial Causal Path
Description: Since causal paths from data are important for all sciences, the package provides sophisticated functions. The idea is simply that if X causes Y (path: X to Y) then non-deterministic variation in X is more "original or independent" than similar variation in Y. We compare two flipped kernel regressions: X=f(Y, Z) and Y=g(X,Z), where Z are control variables. Our first two criteria compare absolute cross products of regressor values and residuals (Cr1) and absolute residuals (Cr2), are both quantified by stochastic dominance of four orders (SD1 to SD4). Our third criterion (Cr3) expects X to be better able to predict Y than the other way around using generalized partial correlation If |r*(x|y)|> |r*(y|x)| it suggests that y is more likely the "kernel cause" of x. The usual partial correlations are generalized with a new non-symmetric matrix developed here. Partial correlations help asses effect of x on y after removing the effect of a set of variables. The package provides additional tools for causal assessment, for printing the causal directions in a clear, comprehensive compact summary form, for matrix algebra, for "outlier detection", and for numerical integration by the trapezoidal rule, stochastic dominance, etc. The package has functions for bootstrap-based statistical inference and one for a heuristic t-test.
Author: Prof. H. D. Vinod, Fordham University, NY.
Maintainer: H. D. Vinod <vinod@fordham.edu>

Diff between generalCorr versions 1.0.9 dated 2017-10-03 and 1.1.0 dated 2018-01-05

 DESCRIPTION                        |   17 +++++------
 MD5                                |   56 +++++++++++++++++++++++--------------
 NAMESPACE                          |    8 +++++
 NEWS                               |    4 ++
 R/abs_stdapdC.R                    |    2 -
 R/abs_stdrhserC.R                  |only
 R/abs_stdrhserr.R                  |only
 R/causeSummary.R                   |    7 ++--
 R/causeSummary0.R                  |only
 R/comp_portfo2.R                   |    2 -
 R/kern_ctrl.R                      |    2 -
 R/parcorMany.R                     |    3 +
 R/silentMtx0.R                     |only
 R/silentPairs.R                    |   18 +++++------
 R/silentPairs0.R                   |only
 R/someCPairs.R                     |    5 +--
 R/someCPairs2.R                    |only
 R/somePairs2.R                     |only
 R/stdres.R                         |only
 build/vignette.rds                 |binary
 inst/doc/generalCorr-vignette.pdf  |binary
 inst/doc/generalCorr-vignette2.pdf |binary
 inst/doc/generalCorr-vignette3.pdf |binary
 man/abs_stdapdC.Rd                 |    2 -
 man/abs_stdrhserC.Rd               |only
 man/abs_stdrhserr.Rd               |only
 man/causeSummary.Rd                |    7 ++--
 man/causeSummary0.Rd               |only
 man/comp_portfo2.Rd                |    2 -
 man/parcorMany.Rd                  |    3 +
 man/silentMtx0.Rd                  |only
 man/silentPairs.Rd                 |    6 +--
 man/silentPairs0.Rd                |only
 man/someCPairs.Rd                  |    5 +--
 man/someCPairs2.Rd                 |only
 man/somePairs2.Rd                  |only
 man/stdres.Rd                      |only
 37 files changed, 90 insertions(+), 59 deletions(-)

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