Tue, 22 May 2018

Package rvcheck updated to version 0.1.0 with previous version 0.0.9 dated 2017-07-10

Title: R/Package Version Check
Description: Check latest release version of R and R package (both in 'CRAN', 'Bioconductor' or 'Github').
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between rvcheck versions 0.0.9 dated 2017-07-10 and 0.1.0 dated 2018-05-22

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 NAMESPACE          |    2 ++
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Package RSpectra updated to version 0.13-1 with previous version 0.12-0 dated 2016-06-13

Title: Solvers for Large-Scale Eigenvalue and SVD Problems
Description: R interface to the 'Spectra' library <https://spectralib.org/> for large-scale eigenvalue and SVD problems. It is typically used to compute a few eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues, which is usually more efficient than eigen() if k << n. This package provides the 'eigs()' function that does the similar job as in 'Matlab', 'Octave', 'Python SciPy' and 'Julia'. It also provides the 'svds()' function to calculate the largest k singular values and corresponding singular vectors of a real matrix. The matrix to be computed on can be dense, sparse, or in the form of an operator defined by the user.
Author: Yixuan Qiu [aut, cre], Jiali Mei [aut] (Function interface of matrix operation), Gael Guennebaud [ctb] (Eigenvalue solvers from the 'Eigen' library), Jitse Niesen [ctb] (Eigenvalue solvers from the 'Eigen' library)
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between RSpectra versions 0.12-0 dated 2016-06-13 and 0.13-1 dated 2018-05-22

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 RSpectra-0.13-1/RSpectra/man/svds.Rd                                            |   28 
 RSpectra-0.13-1/RSpectra/src/Makevars                                           |    4 
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 RSpectra-0.13-1/RSpectra/src/eigs_gen.cpp                                       |    6 
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 67 files changed, 1324 insertions(+), 1465 deletions(-)

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Package templates updated to version 0.3.0 with previous version 0.2.0 dated 2017-06-22

Title: A System for Working with Templates
Description: Provides tools to work with template code and text in R. It aims to provide a simple substitution mechanism for R-expressions inside these templates. Templates can be written in other languages like 'SQL', can simply be represented by characters in R, or can themselves be R-expressions or functions.
Author: Sebastian Warnholz [aut, cre]
Maintainer: Sebastian Warnholz <wahani@gmail.com>

Diff between templates versions 0.2.0 dated 2017-06-22 and 0.3.0 dated 2018-05-22

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New package rvalues with initial version 0.6.3
Package: rvalues
Type: Package
Title: R-Values for Ranking in High-Dimensional Settings
Version: 0.6.3
Date: 2018-5-21
Authors@R: c(person("Nicholas", "Henderson", email = "nhender5@jhmi.edu", role = "cre"), person("Michael", "Newton", email = "newton@stat.wisc.edu", role = "aut"))
Maintainer: Nicholas Henderson <nhender5@jhmi.edu>
Imports: graphics, stats, utils
Description: A collection of functions for computing "r-values" from various kinds of user input such as MCMC output or a list of effect size estimates and associated standard errors. Given a large collection of measurement units, the r-value, r, of a particular unit is a reported percentile that may be interpreted as the smallest percentile at which the unit should be placed in the top r-fraction of units.
License: GPL-2
LazyData: yes
NeedsCompilation: yes
Packaged: 2018-05-21 16:01:36 UTC; nhenders
Author: Nicholas Henderson [cre], Michael Newton [aut]
X-CRAN-Comment: Archived on 2018-01-30 as maintainer address bounced when asked to correct memory-access errors.
Repository: CRAN
Date/Publication: 2018-05-22 21:04:42 UTC

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Package rsparkling updated to version 0.2.4 with previous version 0.2.3 dated 2018-03-08

Title: R Interface for H2O Sparkling Water
Description: An extension package for 'sparklyr' that provides an R interface to H2O Sparkling Water machine learning library (see <https://github.com/h2oai/sparkling-water> for more information).
Author: Navdeep Gill [aut, cre], Erin LeDell [aut], Michal Malohlava [aut], Jakub Hava [aut], JJ Allaire [aut], H2O.ai [cph], RStudio [cph]
Maintainer: Navdeep Gill <navdeep@h2o.ai>

Diff between rsparkling versions 0.2.3 dated 2018-03-08 and 0.2.4 dated 2018-05-22

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Package RcppThread updated to version 0.3.0 with previous version 0.2.0 dated 2018-04-23

Title: R-Friendly Threading in C++
Description: Provides a C++11-style thread class and thread pool that can safely be interrupted from R.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>

Diff between RcppThread versions 0.2.0 dated 2018-04-23 and 0.3.0 dated 2018-05-22

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Package mosaicCore updated to version 0.5.0 with previous version 0.4.2 dated 2017-11-28

Title: Common Utilities for Other MOSAIC-Family Packages
Description: Common utilities used in other MOSAIC-family packages are collected here.
Author: Randall Pruim <rpruim@calvin.edu>, Daniel T. Kaplan <kaplan@macalester.edu>, Nicholas J. Horton <nhorton@amherst.edu>
Maintainer: Randall Pruim <rpruim@calvin.edu>

Diff between mosaicCore versions 0.4.2 dated 2017-11-28 and 0.5.0 dated 2018-05-22

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Package ICtest updated to version 0.3-1 with previous version 0.3 dated 2017-06-27

Title: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction
Description: For different linear dimension reduction methods like principal components analysis (PCA), independent components analysis (ICA) and supervised linear dimension reduction tests and estimates for the number of interesting components (ICs) are provided.
Author: Klaus Nordhausen, Hannu Oja, David E. Tyler, Joni Virta
Maintainer: Klaus Nordhausen <klaus.nordhausen@tuwien.ac.at>

Diff between ICtest versions 0.3 dated 2017-06-27 and 0.3-1 dated 2018-05-22

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Package ggformula updated to version 0.7.0 with previous version 0.6.2 dated 2018-02-06

Title: Formula Interface to the Grammar of Graphics
Description: Provides a formula interface to 'ggplot2' graphics.
Author: Daniel Kaplan [aut], Randall Pruim [aut, cre]
Maintainer: Randall Pruim <rpruim@calvin.edu>

Diff between ggformula versions 0.6.2 dated 2018-02-06 and 0.7.0 dated 2018-05-22

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Package DALEX updated to version 0.2.2 with previous version 0.2.0 dated 2018-04-05

Title: Descriptive mAchine Learning EXplanations
Description: Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance, but such black-box models usually lack of interpretability. 'DALEX' package contains various explainers that help to understand the link between input variables and model output. The single_variable() explainer extracts conditional response of a model as a function of a single selected variable. It is a wrapper over packages 'pdp' and 'ALEPlot'. The single_prediction() explainer attributes arts of model prediction to articular variables used in the model. It is a wrapper over 'breakDown' package. The variable_dropout() explainer assess variable importance based on consecutive permutations. All these explainers can be plotted with generic plot() function and compared across different models.
Author: Przemyslaw Biecek [aut, cre]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between DALEX versions 0.2.0 dated 2018-04-05 and 0.2.2 dated 2018-05-22

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Package Mega2R updated to version 1.0.3 with previous version 1.0.2 dated 2018-04-03

Title: Accessing and Processing a 'Mega2' Genetic Database
Description: Uses as input genetic data that have been reformatted and stored in a 'SQLite' database; this database is initially created by the standalone 'mega2' C++ program (available freely from <https://watson.hgen.pitt.edu/register/>). Loads and manipulates data frames containing genotype, phenotype, and family information from the input 'SQLite' database, and decompresses needed subsets of the genotype data, on the fly, in a memory efficient manner. We have also created several more functions that illustrate how to use the data frames as well as perform useful tasks: these permit one to run the 'pedgene' package to carry out gene-based association tests on family data using selected marker subsets, to run the 'SKAT' package to carry out gene-based association tests using selected marker subsets, to output the 'Mega2R' data as a VCF file and related files (for phenotype and family data), and to convert the data frames into 'GenABEL' gwaa.data-class objects.
Author: Robert V. Baron [aut], Daniel E. Weeks [aut, cre], University of Pittsburgh [cph]
Maintainer: Daniel E. Weeks <weeks@pitt.edu>

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Package C50 updated to version 0.1.2 with previous version 0.1.1 dated 2017-12-01

Title: C5.0 Decision Trees and Rule-Based Models
Description: C5.0 decision trees and rule-based models for pattern recognition that extend the work of Quinlan (1993, ISBN:1-55860-238-0).
Author: Max Kuhn [aut, cre], Steve Weston [ctb], Mark Culp [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] (Author of imported C code), RuleQuest Research [cph] (Copyright holder of imported C code), Rulequest Research Pty Ltd. [cph] (Copyright holder of imported C code)
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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New package antaresViz with initial version 0.13.0
Package: antaresViz
Type: Package
Title: Antares Visualizations
Version: 0.13.0
Date: 2018-05-03
Authors@R: c( person("Jalal-Edine", "ZAWAM", , "jalal-edine.zawam@rte-france.com", role = c("aut", "cre")), person("Francois", "Guillem", , "francois.guillem@rte-france.com", role = "aut"), person("Benoit", "Thieurmel", email = "benoit.thieurmel@datastorm.fr", role = "aut"), person(given = "Titouan", family = "Robert", email = "titouan.robert@datastorm.fr", role = "aut"), person("Baptiste", "SEGUINOT", , "baptiste.seguinot@rte-france.com", role = "ctb"), person("RTE", role = "cph") )
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>
Description: Visualize results generated by Antares, a powerful software developed by RTE to simulate and study electric power systems (more information about Antares here: <https://antares.rte-france.com>). This package provides functions that create interactive charts to help Antares users visually explore the results of their simulations. You can see the results of several ANTARES studies here : <http://bpnumerique.rte-france.com/>.
URL: https://github.com/rte-antares-rpackage/antaresViz
BugReports: https://github.com/rte-antares-rpackage/antaresViz/issues
License: GPL (>= 2) | file LICENSE
LazyData: TRUE
Encoding: UTF-8
Depends: antaresRead (>= 2.0.0), antaresProcessing (>= 0.13.0), spMaps (>= 0.2)
Imports: dygraphs (>= 1.1.1), shiny (>= 0.13.0), plotly (>= 4.5.6), htmltools, htmlwidgets (>= 0.7.0), manipulateWidget (>= 0.9.0), leaflet (>= 1.1.0), sp, rgeos, raster, webshot, data.table, methods, lubridate, geojsonio, graphics, stats, leaflet.minicharts (>= 0.5.3), assertthat, rAmCharts, utils
RoxygenNote: 6.0.1
Suggests: testthat, covr, rhdf5 (>= 2.20.2), rbokeh, knitr, visNetwork
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-05-15 08:30:53 UTC; jalazawa
Author: Jalal-Edine ZAWAM [aut, cre], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Baptiste SEGUINOT [ctb], RTE [cph]
Repository: CRAN
Date/Publication: 2018-05-22 20:50:29 UTC

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Package kmi updated to version 0.5.4 with previous version 0.5.3 dated 2017-09-26

Title: Kaplan-Meier Multiple Imputation for the Analysis of Cumulative Incidence Functions in the Competing Risks Setting
Description: Performs a Kaplan-Meier multiple imputation to recover the missing potential censoring information from competing risks events, so that standard right-censored methods could be applied to the imputed data sets to perform analyses of the cumulative incidence functions (Allignol and Beyersmann, 2010 <doi:10.1093/biostatistics/kxq018>).
Author: Arthur Allignol <arthur.allignol@gmail.com>
Maintainer: Arthur Allignol <arthur.allignol@gmail.com>

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Package Cprob updated to version 1.4.1 with previous version 1.4 dated 2017-09-25

Title: The Conditional Probability Function of a Competing Event
Description: Permits to estimate the conditional probability function of a competing event, and to fit, using the temporal process regression or the pseudo-value approach, a proportional-odds model to the conditional probability function (or other models by specifying another link function). See <doi:10.1111/j.1467-9876.2010.00729.x>.
Author: Arthur Allignol
Maintainer: Arthur Allignol <arthur.allignol@gmail.com>

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Package codebook updated to version 0.5.9 with previous version 0.5.8 dated 2018-03-21

Title: Automatic Codebooks from Survey Metadata Encoded in Attributes
Description: Easily automate the following tasks to describe data frames: computing reliabilities (internal consistencies, retest, multilevel) for psychological scales, summarise the distributions of scales and items graphically and using descriptive statistics, combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.).
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>

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Package AppliedPredictiveModeling updated to version 1.1-7 with previous version 1.1-6 dated 2014-07-25

Title: Functions and Data Sets for 'Applied Predictive Modeling'
Description: A few functions and several data set for the Springer book 'Applied Predictive Modeling'.
Author: Max Kuhn, Kjell Johnson
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package sValues updated to version 0.1.5 with previous version 0.1.4 dated 2015-12-22

Title: Measures of the Sturdiness of Regression Coefficients
Description: Implements the s-values proposed by Ed. Leamer. It provides a context-minimal approach for sensitivity analysis using extreme bounds to assess the sturdiness of regression coefficients.
Author: Carlos Cinelli
Maintainer: Carlos Cinelli <carloscinelli@hotmail.com>

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Package regnet updated to version 0.3.0 with previous version 0.2.0 dated 2017-10-14

Title: Network-Based Regularization for Generalized Linear Models
Description: Network-based regularization has achieved success in variable selection for high-dimensional biological data due to its ability to incorporate correlations among genomic features. This package provides procedures of network-based variable selection for generalized linear models. Two recent additions are the robust network regularization for the survival response and the network regularization for continuous response. Functions for other regularization methods will be included in the forthcoming upgraded versions.
Author: Jie Ren, Luann C. Jung, Yinhao Du, Cen Wu, Yu Jiang, Junhao Liu
Maintainer: Jie Ren <jieren@ksu.edu>

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Package devEMF updated to version 3.6-1 with previous version 3.6 dated 2017-07-24

Title: EMF Graphics Output Device
Description: Output graphics to EMF+/EMF.
Author: Philip Johnson
Maintainer: Philip Johnson <plfj@umd.edu>

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Package aprof updated to version 0.4.1 with previous version 0.3.9 dated 2017-12-04

Title: Amdahl's Profiler, Directed Optimization Made Easy
Description: Assists the evaluation of whether and where to focus code optimization, using Amdahl's law and visual aids based on line profiling. Amdahl's profiler organizes profiling output files (including memory profiling) in a visually appealing way. It is meant to help to balance development vs. execution time by helping to identify the most promising sections of code to optimize and projecting potential gains. The package is an addition to R's standard profiling tools and is not a wrapper for them.
Author: Marco D. Visser
Maintainer: Marco D. Visser <marco.d.visser@gmail.com>

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Package philentropy updated to version 0.2.0 with previous version 0.1.0 dated 2018-04-10

Title: Similarity and Distance Quantification Between Probability Functions
Description: Computes 46 optimized distance and similarity measures for comparing probability functions. These comparisons between probability functions have their foundations in a broad range of scientific disciplines from mathematics to ecology. The aim of this package is to provide a core framework for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks that are based on comparing univariate or multivariate probability functions.
Author: Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>>)
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>

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Package margins updated to version 0.3.23 with previous version 0.3.20 dated 2018-04-24

Title: Marginal Effects for Model Objects
Description: An R port of Stata's 'margins' command, which can be used to calculate marginal (or partial) effects from model objects.
Author: Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>>), Jeffrey Arnold [ctb], Vincent Arel-Bundock [ctb]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

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Package cAIC4 updated to version 0.4 with previous version 0.3 dated 2018-03-21

Title: Conditional Akaike Information Criterion for 'lme4'
Description: Provides functions for the estimation of the conditional Akaike information in generalized mixed-effect models fitted with (g)lmer() from 'lme4'.
Author: Benjamin Saefken and David Ruegamer, with contributions from Sonja Greven and Thomas Kneib
Maintainer: David Ruegamer <david.ruegamer@gmail.com>

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Package Datasmith (with last version 1.0-1) was removed from CRAN

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

2017-01-06 1.0-1

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Package nauf (with last version 1.1.0) was removed from CRAN

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

2017-06-14 1.1.0
2017-05-27 1.0.1
2017-05-09 1.0.0

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Package smdata updated to version 1.2 with previous version 1.1 dated 2013-09-10

Title: Data to Accompany Smithson & Merkle, 2013
Description: Contains data files to accompany Smithson & Merkle (2013), Generalized Linear Models for Categorical and Continuous Limited Dependent Variables.
Author: Ed Merkle and Michael Smithson
Maintainer: Ed Merkle <merklee@missouri.edu>

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Package qut updated to version 2.1 with previous version 2.0 dated 2018-01-29

Title: Quantile Universal Threshold
Description: Thresholding based tests for null hypothesis of the form A beta =c, and the Quantile Universal Threshold (QUT) for GLM-lasso and Square-root lasso to obtain a sparse model with a good compromise between high true positive rate and low false discovery rate.
Author: Jairo Diaz-Rodriguez, Sylvain Sardy, Caroline Giacobino, Nick Hengartner.
Maintainer: Jairo Diaz-Rodriguez<jairo.diaz@unige.ch>

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Package ggstatsplot updated to version 0.0.3 with previous version 0.0.2 dated 2018-04-28

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests (parametric, non-parametric, or robust) included in the plots themselves. It is targeted primarily at behavioral sciences community to provide a one-line code to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms) or categorical (pie charts) data.
Author: Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package FastPCS updated to version 0.1.3 with previous version 0.1.2 dated 2015-01-07

Title: FastPCS Robust Fit of Multivariate Location and Scatter
Description: The FastPCS algorithm of Vakili and Schmitt (2014) <doi:10.1016/j.csda.2013.07.021> for robust estimation of multivariate location and scatter and multivariate outliers detection.
Author: Kaveh Vakili [aut, cre]
Maintainer: Kaveh Vakili <vakili.kaveh.email@gmail.com>

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Package FastHCS updated to version 0.0.6 with previous version 0.0.5 dated 2015-05-19

Title: FastHCS Robust Algorithm for Principal Component Analysis
Description: The FastHCS algorithm of Schmitt and Vakili (2014) <doi:10.1007/s11222-015-9602-5> for high-dimensional, robust PCA modelling and associated outlier detection and diagnostic tools.
Author: Kaveh Vakili [aut, cre]
Maintainer: Kaveh Vakili <vakili.kaveh.email@gmail.com>

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Package dbhydroR updated to version 0.2-5 with previous version 0.2-4 dated 2017-10-30

Title: 'DBHYDRO' Hydrologic and Water Quality Data
Description: Client for programmatic access to the South Florida Water Management District's 'DBHYDRO' database at <https://www.sfwmd.gov/science-data/dbhydro>, with functions for accessing hydrologic and water quality data.
Author: Joseph Stachelek [aut, cre] (<https://orcid.org/0000-0002-5924-2464>>)
Maintainer: Joseph Stachelek <stachel2@msu.edu>

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Package cartogram updated to version 0.0.3 with previous version 0.0.2 dated 2016-09-28

Title: Create Cartograms with R
Description: Construct continuous and non-contiguous area cartograms.
Author: Sebastian Jeworutzki [aut, cre] (<https://orcid.org/0000-0002-2671-5253>>), Timothee Giraud [ctb], Nicolas Lambert [ctb], Roger Bivand [cph], Edzer Pebesma [cph], Jakub Nowosad [ctb] (<https://orcid.org/0000-0002-1057-3721>>)
Maintainer: Sebastian Jeworutzki <sebastian.jeworutzki@ruhr-uni-bochum.de>

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Package Rraven updated to version 1.0.3 with previous version 1.0.2 dated 2018-03-11

Title: Connecting R and 'Raven' Sound Analysis Software
Description: A tool to exchange data between R and 'Raven' sound analysis software <http://www.birds.cornell.edu/brp/raven/RavenOverview.html> (Cornell Lab of Ornithology). Functions work on data formats compatible with the R package 'warbleR'.
Author: Marcelo Araya-Salas
Maintainer: Marcelo Araya-Salas <araya-salas@cornell.edu>

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Package microPop updated to version 1.4 with previous version 1.3 dated 2017-08-04

Title: Modelling Microbial Populations
Description: Modelling interacting microbial populations - example applications include human gut microbiota, rumen microbiota and phytoplankton. Solves a system of ordinary differential equations to simulate microbial growth and resource uptake over time.
Author: Helen Kettle [aut, cre]
Maintainer: Helen Kettle <Helen.Kettle@bioss.ac.uk>

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Package lavaan updated to version 0.6-1 with previous version 0.5-23.1097 dated 2017-02-24

Title: Latent Variable Analysis
Description: Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.
Author: Yves Rosseel [aut, cre], Daniel Oberski [ctb], Jarrett Byrnes [ctb], Leonard Vanbrabant [ctb], Victoria Savalei [ctb], Ed Merkle [ctb], Michael Hallquist [ctb], Mijke Rhemtulla [ctb], Myrsini Katsikatsou [ctb], Mariska Barendse [ctb], Michael Chow [ctb], Terrence D. Jorgensen [ctb]
Maintainer: Yves Rosseel <Yves.Rosseel@UGent.be>

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 lavaan-0.6-1/lavaan/R/lav_mvnorm_missing.R           |  202 ++-
 lavaan-0.6-1/lavaan/R/lav_mvnorm_missing_h1.R        |   12 
 lavaan-0.6-1/lavaan/R/lav_mvreg.R                    |  560 ++++++---
 lavaan-0.6-1/lavaan/R/lav_object_generate.R          |  122 +-
 lavaan-0.6-1/lavaan/R/lav_object_inspect.R           | 1140 +++++++++++++------
 lavaan-0.6-1/lavaan/R/lav_object_methods.R           |  387 +++---
 lavaan-0.6-1/lavaan/R/lav_object_post_check.R        |    1 
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 lavaan-0.6-1/lavaan/R/lav_objective.R                |  299 +++-
 lavaan-0.6-1/lavaan/R/lav_ols.R                      |   36 
 lavaan-0.6-1/lavaan/R/lav_options.R                  |  285 +++-
 lavaan-0.6-1/lavaan/R/lav_partable.R                 |   51 
 lavaan-0.6-1/lavaan/R/lav_partable_attributes.R      |   12 
 lavaan-0.6-1/lavaan/R/lav_partable_check.R           |    8 
 lavaan-0.6-1/lavaan/R/lav_partable_constraints.R     |   31 
 lavaan-0.6-1/lavaan/R/lav_partable_flat.R            |   62 -
 lavaan-0.6-1/lavaan/R/lav_partable_from_lm.R         |    3 
 lavaan-0.6-1/lavaan/R/lav_partable_full.R            |  303 ++---
 lavaan-0.6-1/lavaan/R/lav_partable_independence.R    |  300 -----
 lavaan-0.6-1/lavaan/R/lav_partable_labels.R          |   11 
 lavaan-0.6-1/lavaan/R/lav_partable_merge.R           |    2 
 lavaan-0.6-1/lavaan/R/lav_partable_subset.R          |  203 ++-
 lavaan-0.6-1/lavaan/R/lav_partable_unrestricted.R    |  657 ++++++++--
 lavaan-0.6-1/lavaan/R/lav_partable_utils.R           |  231 +++
 lavaan-0.6-1/lavaan/R/lav_partable_vnames.R          |   48 
 lavaan-0.6-1/lavaan/R/lav_pearson.R                  |   59 
 lavaan-0.6-1/lavaan/R/lav_polyserial.R               |  117 +
 lavaan-0.6-1/lavaan/R/lav_predict.R                  |  449 ++++++-
 lavaan-0.6-1/lavaan/R/lav_print.R                    |  171 ++
 lavaan-0.6-1/lavaan/R/lav_probit.R                   |   44 
 lavaan-0.6-1/lavaan/R/lav_representation_lisrel.R    |  125 +-
 lavaan-0.6-1/lavaan/R/lav_residuals.R                |   19 
 lavaan-0.6-1/lavaan/R/lav_samplestats.R              |  420 +++++--
 lavaan-0.6-1/lavaan/R/lav_samplestats_gamma.R        |  207 ++-
 lavaan-0.6-1/lavaan/R/lav_samplestats_igamma.R       |    9 
 lavaan-0.6-1/lavaan/R/lav_samplestats_wls_obs.R      |   15 
 lavaan-0.6-1/lavaan/R/lav_simulate.R                 |  679 ++++-------
 lavaan-0.6-1/lavaan/R/lav_simulate_old.R             |only
 lavaan-0.6-1/lavaan/R/lav_standardize.R              |   71 -
 lavaan-0.6-1/lavaan/R/lav_start.R                    |  188 ++-
 lavaan-0.6-1/lavaan/R/lav_syntax.R                   |   30 
 lavaan-0.6-1/lavaan/R/lav_tables.R                   |    4 
 lavaan-0.6-1/lavaan/R/lav_test.R                     |  563 +--------
 lavaan-0.6-1/lavaan/R/lav_test_LRT.R                 |   24 
 lavaan-0.6-1/lavaan/R/lav_test_Wald.R                |    8 
 lavaan-0.6-1/lavaan/R/lav_test_diff.R                |  127 +-
 lavaan-0.6-1/lavaan/R/lav_test_satorra_bentler.R     |  111 +
 lavaan-0.6-1/lavaan/R/lav_test_score.R               |   41 
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 lavaan-0.6-1/lavaan/R/lav_utils.R                    |    5 
 lavaan-0.6-1/lavaan/R/xxx_fsr.R                      |  210 ++-
 lavaan-0.6-1/lavaan/R/xxx_lavaan.R                   |  569 +++++++--
 lavaan-0.6-1/lavaan/R/xxx_lavaanList.R               |  109 +
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 lavaan-0.6-1/lavaan/man/modificationIndices.Rd       |    9 
 lavaan-0.6-1/lavaan/man/mplus2lavaan.Rd              |    2 
 lavaan-0.6-1/lavaan/man/mplus2lavaan.modelSyntax.Rd  |    2 
 lavaan-0.6-1/lavaan/man/parameterEstimates.Rd        |   24 
 lavaan-0.6-1/lavaan/man/sem.Rd                       |   22 
 lavaan-0.6-1/lavaan/man/simulateData.Rd              |    2 
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 lavaan-0.6-1/lavaan/tests/testthat/test-lav_mvnorm.R |    6 
 120 files changed, 8892 insertions(+), 4594 deletions(-)

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Package gjam updated to version 2.2.2 with previous version 2.2.1 dated 2018-03-29

Title: Generalized Joint Attribute Modeling
Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full model and computation details are described in Clark et al. (2018) <doi.org/10.1002/ecm.1241>.
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark <jimclark@duke.edu>

Diff between gjam versions 2.2.1 dated 2018-03-29 and 2.2.2 dated 2018-05-22

 DESCRIPTION                |    8 -
 MD5                        |   20 +--
 R/RcppExports.R            |    4 
 R/gjamHfunctions.R         |  299 ++++++++++++++++++++++++++++++++++-----------
 inst/doc/gjamVignette.R    |    3 
 inst/doc/gjamVignette.Rmd  |   29 ++++
 inst/doc/gjamVignette.html |   58 +++++---
 man/gjam-package.Rd        |    5 
 src/RcppExports.cpp        |   15 ++
 src/cppFns.cpp             |   34 ++++-
 vignettes/gjamVignette.Rmd |   29 ++++
 11 files changed, 389 insertions(+), 115 deletions(-)

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New package rsinaica with initial version 0.5.0
Package: rsinaica
Type: Package
Title: Download Data from Mexico's Air Quality Information System
Version: 0.5.0
Authors@R: c(person("Diego", "Valle-Jones", email = "diego@diegovalle.net", role = c("aut", "cre")))
Description: Easy-to-use functions for downloading air quality data from the Mexican National Air Quality Information System (SINAICA). Allows you to query pollution and meteorological parameters from more than a hundred monitoring stations located throughout Mexico. See <http://sinaica.inecc.gob.mx> for more information.
License: MIT + file LICENSE
URL: https://hoyodesmog.diegovalle.net/rsinaica/, https://github.com/diegovalle/rsinaica
BugReports: https://github.com/diegovalle/rsinaica/issues
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.2)
Suggests: aire.zmvm, testthat, covr, knitr, rmarkdown, ggplot2, maps, mapproj, sp, ggmap, gstat, zoo, tidyr
Imports: jsonlite, httr, stringr, dplyr, lubridate
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-05-20 17:44:59 UTC; diego
Author: Diego Valle-Jones [aut, cre]
Maintainer: Diego Valle-Jones <diego@diegovalle.net>
Repository: CRAN
Date/Publication: 2018-05-22 13:01:50 UTC

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Package openair updated to version 2.4-2 with previous version 2.4-0 dated 2018-05-09

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
Author: David Carslaw [aut, cre], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between openair versions 2.4-0 dated 2018-05-09 and 2.4-2 dated 2018-05-22

 DESCRIPTION        |    8 +--
 MD5                |   10 ++--
 R/aqStats.R        |   62 ++++++++++++++--------------
 R/openColours.R    |  117 +++++++++++++++++++++++++++++++++--------------------
 man/aqStats.Rd     |   52 ++++++++++++-----------
 man/openColours.Rd |   81 ++++++++++++++++++------------------
 6 files changed, 184 insertions(+), 146 deletions(-)

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Package ODEnetwork updated to version 1.3.1 with previous version 1.3.0 dated 2018-05-14

Title: Network of Differential Equations
Description: Simulates a network of ordinary differential equations of order two. The package provides an easy interface to construct networks. In addition you are able to define different external triggers to manipulate the trajectory. The method is described by Surmann, Ligges, and Weihs (2014) <doi:10.1109/ENERGYCON.2014.6850482>.
Author: Dirk Surmann [aut, cre] (<https://orcid.org/0000-0003-0873-137X>>)
Maintainer: Dirk Surmann <surmann@statistik.tu-dortmund.de>

Diff between ODEnetwork versions 1.3.0 dated 2018-05-14 and 1.3.1 dated 2018-05-22

 DESCRIPTION               |   10 +++++-----
 MD5                       |    6 +++---
 inst/doc/ODEnetwork.html  |    4 ++--
 tests/testthat/Rplots.pdf |binary
 4 files changed, 10 insertions(+), 10 deletions(-)

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New package spMaps with initial version 0.3
Package: spMaps
Type: Package
Title: Europe SpatialPolygonsDataFrame Builder
Version: 0.3
Date: 2018-05-03
Authors@R: c( person("Jalal-Edine", "ZAWAM", email = "jalal-edine.zawam@rte-france.com", role = c("aut", "cre")), person("Benoit", "Thieurmel", email = "benoit.thieurmel@datastorm.fr", role = "aut"), person("RTE", role = "cph") )
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>
Description: Build custom Europe SpatialPolygonsDataFrame, if you don't know what is a SpatialPolygonsDataFrame see SpatialPolygons() in 'sp', by example for mapLayout() in 'antaresViz'. Antares is a powerful software developed by RTE to simulate and study electric power systems (more information about 'Antares' here: <https://antares.rte-france.com>).
URL: https://github.com/rte-antares-rpackage/antaresMaps
BugReports: https://github.com/rte-antares-rpackage/antaresMaps/issues
License: GPL (>= 2) | file LICENSE
LazyData: TRUE
Encoding: UTF-8
Depends: R (>= 2.10), sp, raster, rgeos
RoxygenNote: 6.0.1
Suggests: testthat, covr, antaresViz
NeedsCompilation: no
Packaged: 2018-05-15 07:04:00 UTC; jalazawa
Author: Jalal-Edine ZAWAM [aut, cre], Benoit Thieurmel [aut], RTE [cph]
Repository: CRAN
Date/Publication: 2018-05-22 12:22:28 UTC

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Package spatsurv updated to version 1.2 with previous version 1.1 dated 2017-03-23

Title: Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models
Description: Bayesian inference for parametric proportional hazards spatial survival models; flexible spatial survival models.
Author: Benjamin M. Taylor and Barry S. Rowlingson Additional contributions Ziyu Zheng
Maintainer: Benjamin M. Taylor <b.taylor1@lancaster.ac.uk>

Diff between spatsurv versions 1.1 dated 2017-03-23 and 1.2 dated 2018-05-22

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 R/plottingfunctions.R                      |   45 ++-
 R/spatsurv.R                               |    9 
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 man/resetLoop.Rd                           |    1 
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 man/showGrid.Rd                            |    1 
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New package solrad with initial version 0.99.0
Package: solrad
Title: Calculating Solar Radiation and Related Variables Based on Location, Time and Topographical Conditions
Description: For surface energy models and estimation of solar positions and components with varying topography, time and locations. The functions calculate solar top-of-atmosphere, open, diffuse and direct components, atmospheric transmittance and diffuse factors, day length, sunrise and sunset, solar azimuth, zenith, altitude, incidence, and hour angles, earth declination angle, equation of time, and solar constant. Details about the methods and equations are explained in Seyednasrollah, Bijan, Mukesh Kumar, and Timothy E. Link. 'On the role of vegetation density on net snow cover radiation at the forest floor.' Journal of Geophysical Research: Atmospheres 118.15 (2013): 8359-8374, <doi:10.1002/jgrd.50575>.
Version: 0.99.0
Date: 2018-05-18
Author: Bijan Seyednasrollah
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>
Depends: R (>= 2.1.1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
URL: https://github.com/bnasr/solrad/
BugReports: https://github.com/bnasr/solrad/issues
NeedsCompilation: no
Packaged: 2018-05-18 22:34:38 UTC; bijan
Repository: CRAN
Date/Publication: 2018-05-22 12:04:12 UTC

More information about solrad at CRAN
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New package PetfindeR with initial version 1.1.3
Package: PetfindeR
Type: Package
Title: 'Petfinder' API Wrapper
Version: 1.1.3
Author: Aaron Schlegel
Maintainer: Aaron Schlegel <aaron@aaronschlegel.com>
Description: Wrapper of the 'Petfinder API' <https://www.petfinder.com/developers/api-docs> that implements methods for interacting with and extracting data from the 'Petfinder' database. The 'Petfinder REST API' allows access to the 'Petfinder' database, one of the largest online, searchable databases of adoptable animals and animal welfare organizations across North America.
Encoding: UTF-8
LazyData: true
Imports: dplyr, httr, jsonlite, plyr
RoxygenNote: 6.0.1
License: MIT + file LICENSE
URL: https://github.com/aschleg/PetfindeR
VignetteBuilder: knitr
Suggests: R6, httptest, testthat, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2018-05-19 12:58:56 UTC; aaronschlegel
Repository: CRAN
Date/Publication: 2018-05-22 12:23:55 UTC

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New package MaskJointDensity with initial version 1.0
Package: MaskJointDensity
Type: Package
Title: Masking, Unmasking and Restoring Confidential Data
Version: 1.0
Date: 2018-05-05
Author: Yan-Xia Lin [aut, cre], Luke Mazur [aut, cre], Jordan Morris [ctb]
Maintainer: Luke Mazur <lm810@uowmail.edu.au>
Description: Three key functionalities are present. It is able to mask confidential data using multiplicative noise. It is able to unmask this data while still preserving confidentiality. It is able to calculate the numerical joint density function of the original data from the unmasked data, as well as obtaining a sample from the marginal density functions of the unmasked data. The final results are a reasonable approximation to the original data for the purposes of analysis (Lin et al. (2018) <http://www.tdp.cat/issues16/abs.a271a17.php>).
License: GPL-2
Imports: ks,np,plyr,parallel,MASS
Packaged: 2018-05-17 12:28:14 UTC; lmm
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2018-05-22 12:13:25 UTC

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Package lgcp updated to version 1.5 with previous version 1.4 dated 2017-04-12

Title: Log-Gaussian Cox Process
Description: Spatial and spatio-temporal modelling of point patterns using the log-Gaussian Cox process. Bayesian inference for spatial, spatiotemporal, multivariate and aggregated point processes using Markov chain Monte Carlo.
Author: Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle. Additional code contributions from Edzer Pebesma, Dominic Schumacher.
Maintainer: Benjamin M. Taylor <b.taylor1@lancaster.ac.uk>

Diff between lgcp versions 1.4 dated 2017-04-12 and 1.5 dated 2018-05-22

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Package intRegGOF updated to version 0.85-5 with previous version 0.85-1 dated 2011-11-17

Title: Integrated Regression Goodness of Fit
Description: Performs Goodness of Fit for regression models using Integrated Regression method. Works for several different fitting techniques.
Author: Jorge Luis Ojeda Cabrera <jojeda@unizar.es>
Maintainer: Jorge Luis Ojeda Cabrera <jojeda@unizar.es>

Diff between intRegGOF versions 0.85-1 dated 2011-11-17 and 0.85-5 dated 2018-05-22

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New package interlineaR with initial version 1.0
Package: interlineaR
Type: Package
Title: Importing Interlinearized Corpora and Dictionaries as Produced by Descriptive Linguistics Software
Version: 1.0
Date: 2018-05-18
Authors@R: person("Sylvain", "Loiseau", email = "sylvain.loiseau@univ-paris13.fr", role = c("aut", "cre"))
Description: Interlinearized glossed texts (IGT) are used in descriptive linguistics for representing a morphological analysis of a text through a morpheme-by-morpheme gloss. 'InterlineaR' provide a set of functions that targets several popular formats of IGT ('SIL Toolbox', 'EMELD XML') and that turns an IGT into a set of data frames following a relational model (the tables represent the different linguistic units: texts, sentences, word, morphems). The same pieces of software ('SIL FLEX', 'SIL Toolbox') typically produce dictionaries of the morphemes used in the glosses. 'InterlineaR' provide a function for turning the LIFT XML dictionary format into a set of data frames following a relational model in order to represent the dictionary entries, the sense(s) attached to the entries, the example(s) attached to senses, etc.
License: BSD_3_clause + file LICENSE
Depends: R (>= 2.14), xml2, reshape2
LazyData: true
URL: https://github.com/sylvainloiseau/interlineaR
Collate: read.emeld.R read.lift.R interlineaR-package.R read.toolbox.R read.pangloss.R dataset.R lift.specifications.R common.R
BuildResaveData: xz
Encoding: UTF-8
RoxygenNote: 6.0.1
Suggests: kableExtra, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-05-19 06:35:56 UTC; sloiseau
Author: Sylvain Loiseau [aut, cre]
Maintainer: Sylvain Loiseau <sylvain.loiseau@univ-paris13.fr>
Repository: CRAN
Date/Publication: 2018-05-22 12:17:37 UTC

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New package IATanalytics with initial version 0.1.0
Package: IATanalytics
Type: Package
Title: Compute Effect Sizes and Reliability for Implicit Association Test (IAT) Data
Version: 0.1.0
Author: Daniel Storage [aut, cre]
Maintainer: Daniel Storage <research@danielstorage.com>
Description: Quickly score raw data outputted from an Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998) <doi:10.1037/0022-3514.74.6.1464>. IAT scores are calculated as specified by Greenwald, Nosek, and Banaji (2003) <doi:10.1037/0022-3514.85.2.197>. The output of this function is a data frame that consists of four rows containing the following information: (1) the overall IAT effect size for the participant's dataset, (2) the effect size calculated for odd trials only, (3) the effect size calculated for even trials only, and (4) the proportion of trials with reaction times under 300ms (which is important for exclusion purposes). Items (2) and (3) allow for a measure of the internal consistency of the IAT. Specifically, you can use the subsetted IAT effect sizes for odd and even trials to calculate Cronbach's alpha across participants in the sample. The input function consists of three arguments. First, indicate the name of the dataset to be analyzed. This is the only required input. Second, indicate the number of trials in your entire IAT (the default is set to 220, which is typical for most IATs). Last, indicate whether congruent trials (e.g., flowers and pleasant) or incongruent trials (e.g., guns and pleasant) were presented first for this participant (the default is set to congruent). Data files should consist of six columns organized in order as follows: Block (0-6), trial (0-19 for training blocks, 0-39 for test blocks), category (dependent on your IAT), the type of item within that category (dependent on your IAT), a dummy variable indicating whether the participant was correct or incorrect on that trial (0=correct, 1=incorrect), and the participant’s reaction time (in milliseconds). A sample dataset (titled 'sampledata') is included in this package to practice with.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: stats
NeedsCompilation: no
Packaged: 2018-05-18 19:32:40 UTC; Sabby
Repository: CRAN
Date/Publication: 2018-05-22 12:01:43 UTC

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Permanent link

New package droptest with initial version 0.1.0
Package: droptest
Title: Simulates LOX/GOX Drop Testing
Version: 0.1.0
Authors@R: person("Chad", "Ross", email = "chad.ross@gmail.com", role = c("aut", "cre"))
Author: Chad Ross [aut, cre]
Maintainer: Chad Ross <chad.ross@gmail.com>
Description: Generates simulated data representing the LOX/GOX drop testing process (also known as impact testing). A simulated process allows for accelerated study of test behavior. Functions are provided to simulate trials, test series, and groups of test series. Functions for creating plots specific to this process are also included. Test attributes and criteria can be set arbitrarily. This work is not endorsed by or affiliated with NASA. See "ASTM G86-17, Standard Test Method for Determining Ignition Sensitivity of Materials to Mechanical Impact in Ambient Liquid Oxygen and Pressurized Liquid and Gaseous Oxygen Environments" <doi:10.1520/G0086-17>.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: data.table
URL: https://github.com/chadr/droptest
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-05-19 16:45:35 UTC; Chad
Repository: CRAN
Date/Publication: 2018-05-22 12:39:22 UTC

More information about droptest at CRAN
Permanent link

Package rebmix updated to version 2.10.2 with previous version 2.10.1 dated 2018-04-07

Title: Finite Mixture Modeling, Clustering & Classification
Description: R functions for random univariate and multivariate finite mixture model generation, estimation, clustering and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson, Dirac or circular von Mises parametric families.
Author: Marko Nagode [aut, cre]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

Diff between rebmix versions 2.10.1 dated 2018-04-07 and 2.10.2 dated 2018-05-22

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Package rcarbon updated to version 1.1.2 with previous version 1.1.1 dated 2018-04-28

Title: Calibration and Analysis of Radiocarbon Dates
Description: Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).
Author: Andrew Bevan [aut], Enrico Crema [aut, cre], Fabio Silva [ctb]
Maintainer: Enrico Crema <enrico.crema@gmail.com>

Diff between rcarbon versions 1.1.1 dated 2018-04-28 and 1.1.2 dated 2018-05-22

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Package prediction updated to version 0.3.6 with previous version 0.3.2 dated 2018-04-12

Title: Tidy, Type-Safe 'prediction()' Methods
Description: A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always returns a data frame. The package currently supports common model types (e.g., "lm", "glm") from the 'stats' package, as well as numerous other model classes from other add-on packages. See the README or main package documentation page for a complete listing.
Author: Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>>), Carl Ganz [ctb]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

Diff between prediction versions 0.3.2 dated 2018-04-12 and 0.3.6 dated 2018-05-22

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More information about prediction at CRAN
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Package ore updated to version 1.6.1 with previous version 1.6.0 dated 2017-04-13

Title: An R Interface to the Onigmo Regular Expression Library
Description: Provides an alternative to R's built-in functionality for handling regular expressions, based on the Onigmo library. Offers first-class compiled regex objects, partial matching and function-based substitutions, amongst other features.
Author: Jon Clayden, based on Onigmo by K. Kosako and K. Takata
Maintainer: Jon Clayden <code@clayden.org>

Diff between ore versions 1.6.0 dated 2017-04-13 and 1.6.1 dated 2018-05-22

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Package miniGUI updated to version 0.8-1 with previous version 0.8.0 dated 2012-09-04

Title: Tcl/Tk Quick and Simple Function GUI
Description: Quick and simple Tcl/Tk Graphical User Interface to call functions. Also comprises a very simple experimental GUI framework.
Author: Jorge Luis Ojeda Cabrera <jojeda@unizar.es>
Maintainer: Jorge Luis Ojeda Cabrera <jojeda@unizar.es>

Diff between miniGUI versions 0.8.0 dated 2012-09-04 and 0.8-1 dated 2018-05-22

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Package mapplots updated to version 1.5.1 with previous version 1.5 dated 2014-10-30

Title: Data Visualisation on Maps
Description: Create simple maps; add sub-plots like pie plots to a map or any other plot; format, plot and export gridded data. The package was developed for displaying fisheries data but most functions can be used for more generic data visualisation.
Author: Hans Gerritsen
Maintainer: Hans Gerritsen <hans.gerritsen@marine.ie>

Diff between mapplots versions 1.5 dated 2014-10-30 and 1.5.1 dated 2018-05-22

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Package liftLRD updated to version 1.0-7 with previous version 1.0-6 dated 2017-09-11

Title: Wavelet Lifting Estimators of the Hurst Exponent for Regularly and Irregularly Sampled Time Series
Description: Implementations of Hurst exponent estimators based on the relationship between wavelet lifting scales and wavelet energy.
Author: Marina Knight [aut], Guy Nason [ctb], Matt Nunes [aut, cre]
Maintainer: Matt Nunes <m.nunes@lancaster.ac.uk>

Diff between liftLRD versions 1.0-6 dated 2017-09-11 and 1.0-7 dated 2018-05-22

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Package cruts updated to version 0.4 with previous version 0.3 dated 2016-05-12

Title: Interface to Climatic Research Unit Time-Series Version 3.21 Data
Description: Functions for reading in and manipulating CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 data.
Author: Benjamin M. Taylor Additional contributions Bikash Parida
Maintainer: Benjamin M. Taylor <b.taylor1@lancaster.ac.uk>

Diff between cruts versions 0.3 dated 2016-05-12 and 0.4 dated 2018-05-22

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Package cranly updated to version 0.2 with previous version 0.1 dated 2018-03-28

Title: Package Directives and Collaboration Networks in CRAN
Description: Provides core visualisations and summaries for the CRAN package database. The package provides comprehensive methods for cleaning up and organising the information in the CRAN package database, for building package directives networks (depends, imports, suggests, enhances, linking to) and collaboration networks, producing package dependence trees, and for computing useful summaries and producing interactive visualisations from the resulting networks. The package also provides functions to coerce the networks to 'igraph' <https://CRAN.R-project.org/package=igraph> objects for further analyses and modelling.
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>>)
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

Diff between cranly versions 0.1 dated 2018-03-28 and 0.2 dated 2018-05-22

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Package ziphsmm updated to version 2.0.6 with previous version 2.0.5 dated 2018-04-29

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
Maintainer: Zekun (Jack) Xu <zekunxu@gmail.com>

Diff between ziphsmm versions 2.0.5 dated 2018-04-29 and 2.0.6 dated 2018-05-22

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Package srvyr updated to version 0.3.3 with previous version 0.3.2 dated 2018-05-06

Title: 'dplyr'-Like Syntax for Summary Statistics of Survey Data
Description: Use piping, verbs like 'group_by' and 'summarize', and other 'dplyr' inspired syntactic style when calculating summary statistics on survey data using functions from the 'survey' package.
Author: Greg Freedman Ellis [aut, cre], Thomas Lumley [ctb]
Maintainer: Greg Freedman Ellis <greg.freedman@gmail.com>

Diff between srvyr versions 0.3.2 dated 2018-05-06 and 0.3.3 dated 2018-05-22

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Permanent link

Package processmapR updated to version 0.3.1 with previous version 0.3.0 dated 2018-03-28

Title: Construct Process Maps Using Event Data
Description: Visualize of process maps based on event logs, in the form of directed graphs. Part of the 'bupaR' framework.
Author: Gert Janssenswillen [aut, cre], Benoît Depaire [ctb], Felix Mannhardt [ctb], Thijs Beuving [ctb]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

Diff between processmapR versions 0.3.0 dated 2018-03-28 and 0.3.1 dated 2018-05-22

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Package prioritizrdata updated to version 0.2.2 with previous version 0.2.1 dated 2017-11-12

Title: Conservation Planning Data Sets
Description: Conservation planning data sets for learning how to use the 'prioritizr' package <https://CRAN.R-project.org/package=prioritizr>.
Author: Jeffrey O Hanson [aut], Richard Schuster [aut, cre], Nina Morrell [aut], Matthew Strimas-Mackey [aut], Matthew E Watts [aut], Peter Arcese [aut], Joeseph Bennett [aut], Hugh P Possingham [aut]
Maintainer: Richard Schuster <mail@richard-schuster.com>

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Package FinePop updated to version 1.5.0 with previous version 1.4.1 dated 2017-11-19

Title: Fine-Scale Population Analysis
Description: Statistical tool set for population genetics. The package provides following functions: 1) empirical Bayes estimator of Fst and other measures of genetic differentiation, 2) regression analysis of environmental effects on genetic differentiation using bootstrap method, 3) interfaces to read and manipulate 'GENEPOP' format data files and allele/haplotype frequency format files.
Author: Reiichiro Nakamichi, Hirohisa Kishino, Shuichi Kitada
Maintainer: Reiichiro Nakamichi <nakamichi@affrc.go.jp>

Diff between FinePop versions 1.4.1 dated 2017-11-19 and 1.5.0 dated 2018-05-22

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Package bmixture updated to version 1.1 with previous version 0.8 dated 2018-04-27

Title: Bayesian Estimation for Finite Mixture of Distributions
Description: Provides statistical tools for Bayesian estimation for finite mixture of distributions, mainly mixture of Gamma, Normal and t-distributions. The package is implemented the recent improvements in Bayesian literature for the finite mixture of distributions, including Mohammadi and et al. (2013) <https://doi:10.1007/s00180-012-0323-3> and Mohammadi and Salehi-Rad (2012) <https://doi:10.1080/03610918.2011.588358>.
Author: Reza Mohammadi <https://orcid.org/0000-0001-9538-0648>
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between bmixture versions 0.8 dated 2018-04-27 and 1.1 dated 2018-05-22

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Package BIS updated to version 0.2.1 with previous version 0.2.0 dated 2018-04-09

Title: Programmatic Access to Bank for International Settlements Data
Description: Provides an interface to data provided by the Bank for International Settlements <https://www.bis.org>, allowing for programmatic retrieval of a large quantity of (central) banking data.
Author: Eric Persson [aut, cre]
Maintainer: Eric Persson <expersso5@gmail.com>

Diff between BIS versions 0.2.0 dated 2018-04-09 and 0.2.1 dated 2018-05-22

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Package BIFIEsurvey updated to version 2.5-44 with previous version 2.4-9 dated 2018-04-09

Title: Tools for Survey Statistics in Educational Assessment
Description: Contains tools for survey statistics (especially in educational assessment) for datasets with replication designs (jackknife, bootstrap, replicate weights; see Kolenikov, 2010). Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included. Statistical inference can be conducted for multiply imputed datasets and nested multiply imputed datasets. This package is developed by BIFIE (Federal Institute for Educational Research, Innovation and Development of the Austrian School System; Salzburg, Austria).
Author: BIFIE
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between BIFIEsurvey versions 2.4-9 dated 2018-04-09 and 2.5-44 dated 2018-05-22

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Permanent link

Package ALA4R updated to version 1.6.0 with previous version 1.5.6 dated 2017-02-18

Title: Atlas of Living Australia (ALA) Data and Resources in R
Description: The Atlas of Living Australia (ALA) provides tools to enable users of biodiversity information to find, access, combine and visualise data on Australian plants and animals; these have been made available from <http://ala.org.au/>. ALA4R provides a subset of the tools to be directly used within R. It enables the R community to directly access data and resources hosted by the ALA.
Author: Peggy Newman [aut, cre], Ben Raymond [aut], Jeremy VanDerWal [aut], Lee Belbin [aut], Michael Sumner [ctb], Tom August [ctb], John Baumgartner [ctb]
Maintainer: Peggy Newman <peggy.newman@csiro.au>

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Package quadprogXT updated to version 0.0.3 with previous version 0.0.2 dated 2018-02-04

Title: Quadratic Programming with Absolute Value Constraints
Description: Extends the quadprog package to solve quadratic programs with absolute value constraints and absolute values in the objective function.
Author: Bob Harlow [aut, cre]
Maintainer: Bob Harlow <rharlow86@gmail.com>

Diff between quadprogXT versions 0.0.2 dated 2018-02-04 and 0.0.3 dated 2018-05-22

 DESCRIPTION                     |    6 +++---
 MD5                             |    7 ++++---
 R/solveQPXT.R                   |   21 ++++++++++++---------
 tests/testthat/ex.R             |only
 tests/testthat/test-solveQPXT.R |   17 +++++++++++++++++
 5 files changed, 36 insertions(+), 15 deletions(-)

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Package qmethod updated to version 1.5.4 with previous version 1.5.2 dated 2017-03-21

Title: Analysis of Subjective Perspectives Using Q Methodology
Description: Analysis of Q methodology, used to identify distinct perspectives existing within a group. This methodology is used across social, health and environmental sciences to understand diversity of attitudes, discourses, or decision-making styles (for more information, see <http://qmethod.org>). A single function runs the full analysis. Each step can be run separately using the corresponding functions: for automatic flagging of Q-sorts (manual flagging is optional), for statement scores, for distinguishing and consensus statements, and for general characteristics of the factors. Additional functions are available to import and export data, to print and plot, to import raw data from individual *.CSV files, and to make printable cards. The package also offers functions to print Q cards and to generate Q distributions for study administration. The package uses principal components and it allows manual or automatic flagging, a number of mathematical methods for rotation, and a number of correlation coefficients for the initial correlation matrix. See further details in the package documentation, and in the web pages below, which include a cookbook, guidelines for more advanced analysis (how to perform manual flagging or change the sign of factors), data management, and a beta graphical user interface for online and offline use.
Author: Aiora Zabala [aut, cre] (Main author, <https://orcid.org/0000-0001-8534-3325>>), Maximilian Held [aut] (Author of additional data management functions)
Maintainer: Aiora Zabala <aiora.zabala@gmail.com>

Diff between qmethod versions 1.5.2 dated 2017-03-21 and 1.5.4 dated 2018-05-22

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 R/import.q.feedback.R |   18 +++++++++++-------
 R/qmb.plot.R          |    4 ++--
 man/qmb.plot.Rd       |    2 +-
 man/qmboots.Rd        |    4 ++--
 6 files changed, 28 insertions(+), 23 deletions(-)

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Package genotypeR updated to version 0.0.1.8 with previous version 0.0.1.7 dated 2018-05-13

Title: SNP Genotype Marker Design and Analysis
Description: We implement a common genotyping workflow with a standardized software interface. 'genotypeR' designs genotyping markers from vcf files, outputs markers for multiplexing suitability on various platforms (Sequenom and Illumina GoldenGate), and provides various QA/QC and analysis functions. We developed this package to analyze data in Stevison LS, SA Sefick, CA Rushton, and RM Graze. 2017. Invited Review: Recombination rate plasticity: revealing mechanisms by design. Philosophical Transactions Royal Society London B Biol Sci 372:1-14. <DOI:10.1098/rstb.2016.0459>, and have published it here Sefick, S.A., M.A. Castronova, and L.S. Stevison. 2017. GENOTYPER: An integrated R packages for single nuleotide polymorphism genotype marker design and data analysis. Methods in Ecology and Evolution 9: 1318-1323. <DOI: 10.1111/2041-210X.12965>.
Author: Stephen Alfred Sefick [aut, cre], Magdelena A Castronova [aut], Laurie S Stevison [aut]
Maintainer: Stephen Alfred Sefick <ssefick@gmail.com>

Diff between genotypeR versions 0.0.1.7 dated 2018-05-13 and 0.0.1.8 dated 2018-05-22

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 vignettes/genotypeR.Rmd |   31 +++++++++++++++++--------------
 6 files changed, 78 insertions(+), 67 deletions(-)

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