Thu, 08 Oct 2015

Package nhanesA updated to version 0.6.1 with previous version 0.6.0 dated 2015-09-23

Title: NHANES Data Retrieval
Description: Utility to retrieve data from the National Health and Nutrition Examination Survey (NHANES).
Author: Christopher Endres
Maintainer: Christopher Endres <cjendres1@gmail.com>

Diff between nhanesA versions 0.6.0 dated 2015-09-23 and 0.6.1 dated 2015-10-08

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New package FSA with initial version 0.8.0
Package: FSA
Title: Functions for Simple Fisheries Stock Assessment Methods
Version: 0.8.0
Date: 2015-10-05
Description: Functions to perform a variety of simple fish stock assessment methods. Detailed vignettes are available on the fishR website listed below.
Authors@R: person("Derek","Ogle",email="derek@derekogle.com",role=c("aut","cre"))
URL: http://derekogle.com/fishR/, https://github.com/droglenc/FSA
BugReports: https://github.com/droglenc/FSA/issues
License: GPL (>= 2)
LazyData: true
Depends: R (>= 3.0.0)
Imports: graphics, grDevices, stats, tools, plotrix, plyr
Suggests: car, dplyr, dunn.test, fishmethods, FSAdata, gdata, gplots, Hmisc, knitr, lmtest, marked, nlstools, Rcapture, relax, sciplot, testthat
NeedsCompilation: no
Packaged: 2015-10-08 21:02:24 UTC; dogle
Author: Derek Ogle [aut, cre]
Maintainer: Derek Ogle <derek@derekogle.com>
Repository: CRAN
Date/Publication: 2015-10-08 23:52:57

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Package DiagrammeR updated to version 0.8 with previous version 0.7 dated 2015-06-11

Title: Create Graph Diagrams and Flowcharts Using R
Description: Create graph diagrams and flowcharts using R.
Author: Knut Sveidqvist [aut, cph] (mermaid.js library in htmlwidgets/lib, http://github.com/knsv/mermaid/), Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib, http://d3js.org), Chris Pettitt [aut, cph] (dagre-d3.js library in htmlwidgets/lib, http://github.com/cpettitt/dagre-d3), Mike Daines [aut, cph] (viz.js library in htmlwidgets/lib, http://github.com/mdaines/viz.js/), Andrei Kashcha [aut, cph] (vivagraphjs library in htmlwidgets/lib, https://github.com/anvaka/VivaGraphJS), Richard Iannone [aut, cre] (R interface)
Maintainer: Richard Iannone <riannone@me.com>

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New package gimms with initial version 0.1
Package: gimms
Type: Package
Title: Download and Process GIMMS NDVI3g Data
Version: 0.1
Date: 2015-10-05
Author: Florian Detsch
Maintainer: Florian Detsch <admin@environmentalinformatics-marburg.de>
Description: We provide a set of functions to retrieve information about GIMMS NDVI3g files currently available online; download and re-arrange the bi-monthly datasets according to creation time; import downloaded files from native binary (ENVI) format directly into R based on the widely applied 'raster' package; and calculate monthly value composites (e.g. maximum value composites, MVC) from the bi-monthly input data.
Depends: raster, methods
License: GPL (>= 3) | file LICENSE
LazyData: TRUE
NeedsCompilation: no
Packaged: 2015-10-08 19:35:08 UTC; fdetsch
Repository: CRAN
Date/Publication: 2015-10-08 22:59:36

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New package SurvRegCensCov with initial version 1.4
Package: SurvRegCensCov
Type: Package
Title: Weibull Regression for a Right-Censored Endpoint with Interval-Censored Covariate
Version: 1.4
Date: 2015-10-02
Author: Stanislas Hubeaux <stanislas.hubeaux@alumni.epfl.ch> and Kaspar Rufibach <kaspar.rufibach@gmail.com>
Maintainer: Stanislas Hubeaux <stanislas.hubeaux@alumni.epfl.ch>
Depends: R (>= 2.10), survival, stats, graphics
Imports: numDeriv
Description: The main function of this package allows estimation of a Weibull Regression for a right-censored endpoint, one interval-censored covariate, and an arbitrary number of non-censored covariates. Additional functions allow to switch between different parametrizations of Weibull regression used by different R functions, inference for the mean difference of two arbitrarily censored Normal samples, and estimation of canonical parameters from censored samples for several distributional assumptions.
License: GPL (>= 2)
Packaged: 2015-10-08 12:51:45 UTC; hubeauxs
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-10-08 20:17:22

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Package pathological updated to version 0.0-7 with previous version 0.0-6 dated 2015-05-10

Title: Path Manipulation Utilities
Description: Utilities for paths, files and directories.
Author: Richard Cotton [aut, cre], Janko Thyson [ctb]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between pathological versions 0.0-6 dated 2015-05-10 and 0.0-7 dated 2015-10-08

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Package nat.templatebrains updated to version 0.6.1 with previous version 0.6 dated 2015-07-01

Title: NeuroAnatomy Toolbox (nat) Extension for Handling Template Brains
Description: Extends package nat (NeuroAnatomy Toolbox) by providing objects and functions for handling template brains.
Author: James Manton and Gregory Jefferis
Maintainer: James Manton <ajd.manton@googlemail.com>

Diff between nat.templatebrains versions 0.6 dated 2015-07-01 and 0.6.1 dated 2015-10-08

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New package ITEMAN with initial version 1.0
Package: ITEMAN
Version: 1.0
Date: 2015-9-29
Title: Classical Item Analysis
Author: Cengiz Zopluoglu
Maintainer: Cengiz Zopluoglu <c.zopluoglu@miami.edu>
Depends: ggplot2, polycor, car
Description: Runs classical item analysis for multiple-choice test items and polytomous items (e.g., rating scales).
License: GPL (>= 2)
URL: http://sites.education.miami.edu/zopluoglu/
NeedsCompilation: no
Packaged: 2015-10-08 17:31:45 UTC; c.zopluoglu1
Repository: CRAN
Date/Publication: 2015-10-08 20:13:38

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Package fbroc updated to version 0.3.0 with previous version 0.2.1 dated 2015-06-07

Title: Fast Algorithms to Bootstrap Receiver Operating Characteristics Curves
Description: Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. Currently the calculation of 100000 bootstrap replicates for 500 observations takes about one second.
Author: Erik Peter [aut, cre]
Maintainer: Erik Peter <jerikpeter@googlemail.com>

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Package fastdigest updated to version 0.6-3 with previous version 0.6-2 dated 2015-10-07

Title: Fast, Low Memory-Footprint Digests of R Objects
Description: Provides an R interface to Bob Jenkin's streaming, non-cryptographic 'SpookyHash' hash algorithm for use in digest-based comparisons of R objects. 'fastdigest' plugs directly into R's internal serialization machinery, allowing digests of all R objects the serialize() function supports, including reference-style objects via custom hooks. Speed is high and scales linearly by object size; memory usage is constant and negligible.
Author: Gabriel Becker, Bob Jenkins (SpookyHash algorithm and C++ implementation)
Maintainer: Gabriel Becker <becker.gabriel@gene.com>

Diff between fastdigest versions 0.6-2 dated 2015-10-07 and 0.6-3 dated 2015-10-08

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Package dunn.test updated to version 1.3.1 with previous version 1.3.0 dated 2015-09-24

Title: Dunn's Test of Multiple Comparisons Using Rank Sums
Description: Computes Dunn's test (1964) for stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis test for stochastic dominance among k groups (Kruskal and Wallis, 1952). The interpretation of stochastic dominance requires an assumption that the CDF of one group does not cross the CDF of the other. 'dunn.test' makes k(k-1)/2 multiple pairwise comparisons based on Dunn's z-test-statistic approximations to the actual rank statistics. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. Like the rank-sum test, if the data can be assumed to be continuous, and the distributions are assumed identical except for a difference in location, Dunn's test may be understood as a test for median difference. 'dunn.test' accounts for tied ranks.
Author: Alexis Dinno <alexis.dinno@pdx.edu>
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

Diff between dunn.test versions 1.3.0 dated 2015-09-24 and 1.3.1 dated 2015-10-08

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More information about dunn.test at CRAN
Permanent link

Package BIFIEsurvey updated to version 1.5-0 with previous version 1.4-0 dated 2015-09-08

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). 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 <a.robitzsch@bifie.at>

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Package vardpoor updated to version 0.4.6 with previous version 0.4.4 dated 2015-09-10

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearisation of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow, 1953), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y.G.). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>

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Permanent link

Package spatstat updated to version 1.43-0 with previous version 1.42-2 dated 2015-06-29

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, and point patterns on a linear network. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Diggle-Cressie-Loosmore-Ford, Dao-Genton) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov) are also supported. Parametric models can be fitted to point pattern data using the functions ppm, kppm, slrm, dppm similar to glm. Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm. The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise, AIC). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley <Adrian.Baddeley@uwa.edu.au>, Rolf Turner <r.turner@auckland.ac.nz> and Ege Rubak <rubak@math.aau.dk>, with substantial contributions of code by Kasper Klitgaard Berthelsen; Ute Hahn; Abdollah Jalilian; Marie-Colette van Lieshout; Tuomas Rajala; Dominic Schuhmacher; and Rasmus Waagepetersen. Additional contributions by Q.W. Ang; S. Azaele; M. Baddeley; C. Beale; M. Bell; R. Bernhardt; T. Bendtsen; A. Bevan; B. Biggerstaff; A. Bilgrau; L. Bischof; C. Biscio; R. Bivand; J.M. Blanco Moreno; F. Bonneu; J. Burgos; S. Byers; Y.M. Chang; J.B. Chen; I. Chernayavsky; Y.C. Chin; B. Christensen; J.-F. Coeurjolly; R. Corria Ainslie; M. de la Cruz; P. Dalgaard; S. Das; P.J. Diggle; P. Donnelly; I. Dryden; S. Eglen; A. El-Gabbas; B. Fandohan; O. Flores; E.D. Ford; P. Forbes; S. Frank; J. Franklin; N. Funwi-Gabga; O. Garcia; A. Gault; M. Genton; S. Ghalandarayeshi; J. Gilbey; J. Goldstick; P. Grabarnik; C. Graf; U. Hahn; A. Hardegen; M.B. Hansen; M. Hazelton; J. Heikkinen; M. Hering; M. Herrmann; K. Hornik; P. Hunziker; J. Hywood; R. Ihaka; A. Jammalamadaka; R. John-Chandran; D. Johnson; M. Khanmohammadi; R. Klaver; P. Kovesi; M. Kuhn; J. Laake; F. Lavancier; T. Lawrence; R.A. Lamb; J. Lee; G.P. Leser; H.T. Li; G. Limitsios; A. Lister; B. Madin; M. Maechler; J. Marcus; K. Marchikanti; R. Mark; J. Mateu; P. McCullagh; U. Mehlig; S. Meyer; X.C. Mi; L. De Middeleer; R.K. Milne; E. Miranda; J. Moller; E. Mudrak; G.M. Nair; N. Nava; L.S. Nielsen; F. Nunes; J.R. Nyengaard; J. Oehlschlaegel; T. Onkelinx; S. O'Riordan; E. Parilov; J. Picka; N. Picard; M. Porter; S. Protsiv; A. Raftery; S. Rakshit; B. Ramage; P. Ramon; X. Raynaud, M. Reiter; I. Renner; T.O. Richardson; B.D. Ripley; E. Rosenbaum; B. Rowlingson; J. Rudokas; J. Rudge; C. Ryan; F. Safavimanesh; A. Sarkka; C. Schank; K. Schladitz; S. Schutte; B.T. Scott; O. Semboli; F. Semecurbe; V. Shcherbakov; G.C. Shen; H.-J. Ship; I.-M. Sintorn; Y. Song; M. Spiess; M. Stevenson; K. Stucki; M. Sumner; P. Surovy; B. Taylor; T. Thorarinsdottir; B. Turlach; T. Tvedebrink; K. Ummer; M. Uppala; A. van Burgel; T. Verbeke; M. Vihtakari; A. Villers; F. Vinatier; S. Voss; H. Wang; H. Wendrock; J. Wild; C. Witthoft; S. Wong; M. Woringer; M.E. Zamboni and A. Zeileis.
Maintainer: Adrian Baddeley <Adrian.Baddeley@uwa.edu.au>

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Package seasonal updated to version 1.1.0 with previous version 1.0.0 dated 2015-08-14

Title: R Interface to X-13-ARIMA-SEATS
Description: Easy-to-use interface to X-13-ARIMA-SEATS, the seasonal adjustment software by the US Census Bureau. It offers full access to almost all options and outputs of X-13, including X-11 and SEATS, automatic ARIMA model search, outlier detection and support for user defined holiday variables, such as Chinese New Year or Indian Diwali. It also includes a Shiny-based graphical user interface. Seasonal does not contain the binaries of X-13, which must be installed separately. See the README file or the vignette for installation notes.
Author: Christoph Sax
Maintainer: Christoph Sax <christoph.sax@gmail.com>

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Package nodiv updated to version 1.1.1 with previous version 1.1.0 dated 2015-06-14

Title: Compares the Distribution of Sister Clades Through a Phylogeny
Description: An implementation of the nodiv algorithm, (see Borregaard, M.K., Rahbek, C., Fjeldsaa, J., Parra, J.L., Whittaker, R.J. & Graham, C.H. 2014. Node-based analysis of species distributions. Methods in Ecology and Evolution 5(11): 1225-1235. DOI: 10.1111/2041-210X.12283. Package for phylogenetic analysis of species distributions. The main function goes through each node in the phylogeny, compares the distributions of the two descendant nodes, and compares the result to a null model. This highlights nodes where major distributional divergence have occurred. The distributional divergence for these nodes is mapped using the SOS statistic.
Author: Michael Krabbe Borregaard
Maintainer: Michael Krabbe Borregaard <mkborregaard@snm.ku.dk>

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Package meteoForecast updated to version 0.47 with previous version 0.45 dated 2015-05-21

Title: Numerical Weather Predictions
Description: Access to several Numerical Weather Prediction services both in raster format and as a time series for a location. Currenty it works with GFS, MeteoGalicia, NAM, and RAP.
Author: Oscar Perpinan Lamigueiro [cre, aut], Marcelo Pinho Almeida [ctb]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@gmail.com>

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Package luzlogr updated to version 0.1.1 with previous version 0.1.0 dated 2015-10-05

Title: Lightweight Logging for R Scripts
Description: Provides flexible but lightweight logging facilities for R scripts. Supports priority levels for logs and messages, flagging messages, capturing script output, switching logs, and logging to files or connections.
Author: Ben Bond-Lamberty [aut, cre]
Maintainer: Ben Bond-Lamberty <bondlamberty@pnnl.gov>

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Package lamW updated to version 0.1-2 with previous version 0.1-1 dated 2015-05-20

Title: Lambert-W Function
Description: Implements both real-valued branches of the Lambert-W function, also known as the product logarithm, without the need for installing the entire GSL.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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Package cp4p updated to version 0.3.2 with previous version 0.3.1 dated 2015-08-17

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

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Package clere updated to version 1.1.2 with previous version 1.1.1 dated 2015-10-01

Title: Simultaneous Variables Clustering and Regression
Description: Implements an empirical Bayes approach for simultaneous variable clustering and regression. This version also (re)implements in C++ an R script proposed by Howard Bondell that fits the Pairwise Absolute Clustering and Sparsity (PACS) methodology (see Sharma DB et al. - 2013).
Author: Loic Yengo, Mickael Canouil
Maintainer: Loic Yengo <loic.yengo@gmail.com>

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Package chemCal updated to version 0.1-37 with previous version 0.1-34 dated 2014-04-25

Title: Calibration Functions for Analytical Chemistry
Description: Simple functions for plotting linear calibration functions and estimating standard errors for measurements according to the Handbook of Chemometrics and Qualimetrics: Part A by Massart et al. There are also functions estimating the limit of detection (LOD) and limit of quantification (LOQ). The functions work on model objects from - optionally weighted - linear regression (lm) or robust linear regression ('rlm' from the 'MASS' package).
Author: Johannes Ranke [aut, cre, cph]
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

Diff between chemCal versions 0.1-34 dated 2014-04-25 and 0.1-37 dated 2015-10-08

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Package assertive.base updated to version 0.0-3 with previous version 0.0-2 dated 2015-10-06

Title: A Lightweight Core of the 'assertive' Package
Description: A minimal set of predicates and assertions used by the assertive package. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre], Sunkyu Choi [trl], Ivanka Skakun [trl], Gergely Dar<c3><b3>czi [trl], Anton Antonov [trl], Hisham Ben Hamidane [trl], Anja Billing [trl], Aditya Bhagwat [trl], Rasmus B<c3><a5><c3><a5>th [trl], Mine Cetinkaya-Rundel [trl], Aspasia Chatziefthymiou [trl]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive.base versions 0.0-2 dated 2015-10-06 and 0.0-3 dated 2015-10-08

 DESCRIPTION                            |    8 +-
 MD5                                    |   14 ++--
 NEWS                                   |    1 
 R/assert-identical-to-true-false-na.R  |   19 +++--
 R/assert-is-true-false-na.R            |  107 +++++++++++++++++++++++++++++----
 R/is-true-false-na.R                   |   44 +++++++------
 man/Truth.Rd                           |   34 +++++-----
 tests/testthat/test-is-true-false-na.R |   92 ++++++++++++++++++++++++++++
 8 files changed, 251 insertions(+), 68 deletions(-)

More information about assertive.base at CRAN
Permanent link

Package assertive updated to version 0.3-1 with previous version 0.3-0 dated 2015-07-15

Title: Readable Check Functions to Ensure Code Integrity
Description: Lots of is_* functions to check the state of your variables, and assert_* functions to throw errors if they aren't in the right form.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive versions 0.3-0 dated 2015-07-15 and 0.3-1 dated 2015-10-08

 assertive-0.3-0/assertive/R/are-same.R                                     |only
 assertive-0.3-0/assertive/R/assert-are-same.R                              |only
 assertive-0.3-0/assertive/R/assert-has.R                                   |only
 assertive-0.3-0/assertive/R/assert-is-a-type.R                             |only
 assertive-0.3-0/assertive/R/assert-is-atomic-recursive-vector.R            |only
 assertive-0.3-0/assertive/R/assert-is-binding.R                            |only
 assertive-0.3-0/assertive/R/assert-is-connection.R                         |only
 assertive-0.3-0/assertive/R/assert-is-empty-scalar.R                       |only
 assertive-0.3-0/assertive/R/assert-is-file.R                               |only
 assertive-0.3-0/assertive/R/assert-is-in-range.R                           |only
 assertive-0.3-0/assertive/R/assert-is-infinity-nan.R                       |only
 assertive-0.3-0/assertive/R/assert-is-null.R                               |only
 assertive-0.3-0/assertive/R/assert-is-other.R                              |only
 assertive-0.3-0/assertive/R/assert-is-real-imaginary.R                     |only
 assertive-0.3-0/assertive/R/assert-is-reflection.R                         |only
 assertive-0.3-0/assertive/R/assert-is-set.R                                |only
 assertive-0.3-0/assertive/R/assert-is-string-uk.R                          |only
 assertive-0.3-0/assertive/R/assert-is-string-us.R                          |only
 assertive-0.3-0/assertive/R/assert-is-string.R                             |only
 assertive-0.3-0/assertive/R/assert-is-time.R                               |only
 assertive-0.3-0/assertive/R/assert-is-type.R                               |only
 assertive-0.3-0/assertive/R/assert-r-has-capability.R                      |only
 assertive-0.3-0/assertive/R/has.R                                          |only
 assertive-0.3-0/assertive/R/internal-connection.R                          |only
 assertive-0.3-0/assertive/R/internal-string.R                              |only
 assertive-0.3-0/assertive/R/is-a-type.R                                    |only
 assertive-0.3-0/assertive/R/is-atomic-recursive-vector.R                   |only
 assertive-0.3-0/assertive/R/is-binding.R                                   |only
 assertive-0.3-0/assertive/R/is-connection.R                                |only
 assertive-0.3-0/assertive/R/is-empty-scalar.R                              |only
 assertive-0.3-0/assertive/R/is-file.R                                      |only
 assertive-0.3-0/assertive/R/is-in-range.R                                  |only
 assertive-0.3-0/assertive/R/is-infinity-nan.R                              |only
 assertive-0.3-0/assertive/R/is-null.R                                      |only
 assertive-0.3-0/assertive/R/is-other.R                                     |only
 assertive-0.3-0/assertive/R/is-real-imaginary.R                            |only
 assertive-0.3-0/assertive/R/is-reflection.R                                |only
 assertive-0.3-0/assertive/R/is-set.R                                       |only
 assertive-0.3-0/assertive/R/is-string-uk.R                                 |only
 assertive-0.3-0/assertive/R/is-string-us.R                                 |only
 assertive-0.3-0/assertive/R/is-string.R                                    |only
 assertive-0.3-0/assertive/R/is-time.R                                      |only
 assertive-0.3-0/assertive/R/is-type.R                                      |only
 assertive-0.3-0/assertive/R/locale.R                                       |only
 assertive-0.3-0/assertive/R/r-has-capability.R                             |only
 assertive-0.3-0/assertive/R/zzz.R                                          |only
 assertive-0.3-0/assertive/inst/po                                          |only
 assertive-0.3-0/assertive/man/as.character.file.Rd                         |only
 assertive-0.3-0/assertive/man/create_regex.Rd                              |only
 assertive-0.3-0/assertive/man/d.Rd                                         |only
 assertive-0.3-0/assertive/man/is_current_r.Rd                              |only
 assertive-0.3-0/assertive/man/locale_categories.Rd                         |only
 assertive-0.3-0/assertive/man/make_range_string.Rd                         |only
 assertive-0.3-0/assertive/man/matches_regex.Rd                             |only
 assertive-0.3-0/assertive/man/not_this_build.Rd                            |only
 assertive-0.3-0/assertive/man/not_this_os.Rd                               |only
 assertive-0.3-0/assertive/man/recycle.Rd                                   |only
 assertive-0.3-0/assertive/man/rstudio_version_info.Rd                      |only
 assertive-0.3-0/assertive/man/strip_invalid_chars.Rd                       |only
 assertive-0.3-0/assertive/man/warn_about_file.access_under_windows.Rd      |only
 assertive-0.3-0/assertive/po                                               |only
 assertive-0.3-0/assertive/tests/testthat/test-has.R                        |only
 assertive-0.3-0/assertive/tests/testthat/test-internal-string.R            |only
 assertive-0.3-0/assertive/tests/testthat/test-is-a-type.R                  |only
 assertive-0.3-0/assertive/tests/testthat/test-is-atomic-recursive-vector.R |only
 assertive-0.3-0/assertive/tests/testthat/test-is-connection.R              |only
 assertive-0.3-0/assertive/tests/testthat/test-is-empty-scalar.R            |only
 assertive-0.3-0/assertive/tests/testthat/test-is-file.R                    |only
 assertive-0.3-0/assertive/tests/testthat/test-is-in-range.R                |only
 assertive-0.3-0/assertive/tests/testthat/test-is-na-nan-null.R             |only
 assertive-0.3-0/assertive/tests/testthat/test-is-other.R                   |only
 assertive-0.3-0/assertive/tests/testthat/test-is-real-imaginary.R          |only
 assertive-0.3-0/assertive/tests/testthat/test-is-reflection.R              |only
 assertive-0.3-0/assertive/tests/testthat/test-is-string-uk.R               |only
 assertive-0.3-0/assertive/tests/testthat/test-is-string-us.R               |only
 assertive-0.3-0/assertive/tests/testthat/test-is-string.R                  |only
 assertive-0.3-0/assertive/tests/testthat/test-is-time.R                    |only
 assertive-0.3-0/assertive/tests/testthat/test-is-type.R                    |only
 assertive-0.3-0/assertive/tests/testthat/test-is-valid-variable-name.R     |only
 assertive-0.3-0/assertive/tests/testthat/test-r-has-capabilities.R         |only
 assertive-0.3-1/assertive/DESCRIPTION                                      |   33 
 assertive-0.3-1/assertive/MD5                                              |  338 ++++------
 assertive-0.3-1/assertive/NAMESPACE                                        |  194 +++++
 assertive-0.3-1/assertive/NEWS                                             |    1 
 assertive-0.3-1/assertive/R/assertive-package.R                            |   88 --
 assertive-0.3-1/assertive/R/exports-base.R                                 |only
 assertive-0.3-1/assertive/R/exports-code.R                                 |only
 assertive-0.3-1/assertive/R/exports-data-uk.R                              |only
 assertive-0.3-1/assertive/R/exports-data-us.R                              |only
 assertive-0.3-1/assertive/R/exports-data.R                                 |only
 assertive-0.3-1/assertive/R/exports-datetimes.R                            |only
 assertive-0.3-1/assertive/R/exports-files.R                                |only
 assertive-0.3-1/assertive/R/exports-matrices.R                             |only
 assertive-0.3-1/assertive/R/exports-models.R                               |only
 assertive-0.3-1/assertive/R/exports-numbers.R                              |only
 assertive-0.3-1/assertive/R/exports-properties.R                           |only
 assertive-0.3-1/assertive/R/exports-reflection.R                           |only
 assertive-0.3-1/assertive/R/exports-sets.R                                 |only
 assertive-0.3-1/assertive/R/exports-strings.R                              |only
 assertive-0.3-1/assertive/R/exports-types.R                                |only
 assertive-0.3-1/assertive/R/imports.R                                      |  187 -----
 assertive-0.3-1/assertive/README.md                                        |  255 +++----
 assertive-0.3-1/assertive/man/DIM.Rd                                       |    6 
 assertive-0.3-1/assertive/man/Truth.Rd                                     |    2 
 assertive-0.3-1/assertive/man/are_identical.Rd                             |   35 -
 assertive-0.3-1/assertive/man/are_same_length.Rd                           |   42 -
 assertive-0.3-1/assertive/man/assert_engine.Rd                             |    2 
 assertive-0.3-1/assertive/man/assert_is_all_of.Rd                          |   26 
 assertive-0.3-1/assertive/man/assertionError.Rd                            |only
 assertive-0.3-1/assertive/man/bapply.Rd                                    |    2 
 assertive-0.3-1/assertive/man/call_and_name.Rd                             |    2 
 assertive-0.3-1/assertive/man/cause.Rd                                     |    2 
 assertive-0.3-1/assertive/man/changes.Rd                                   |  100 --
 assertive-0.3-1/assertive/man/character_to_list_of_integer_vectors.Rd      |   23 
 assertive-0.3-1/assertive/man/coerce_to.Rd                                 |    2 
 assertive-0.3-1/assertive/man/dont_stop.Rd                                 |    2 
 assertive-0.3-1/assertive/man/false.Rd                                     |    4 
 assertive-0.3-1/assertive/man/get_name_in_parent.Rd                        |    2 
 assertive-0.3-1/assertive/man/has_any_attributes.Rd                        |   21 
 assertive-0.3-1/assertive/man/has_arg.Rd                                   |   34 -
 assertive-0.3-1/assertive/man/has_attributes.Rd                            |   32 
 assertive-0.3-1/assertive/man/has_cols.Rd                                  |   34 -
 assertive-0.3-1/assertive/man/has_dims.Rd                                  |   24 
 assertive-0.3-1/assertive/man/has_duplicates.Rd                            |   29 
 assertive-0.3-1/assertive/man/has_names.Rd                                 |   51 -
 assertive-0.3-1/assertive/man/has_terms.Rd                                 |   27 
 assertive-0.3-1/assertive/man/is2.Rd                                       |    2 
 assertive-0.3-1/assertive/man/is_array.Rd                                  |   34 -
 assertive-0.3-1/assertive/man/is_atomic.Rd                                 |   62 -
 assertive-0.3-1/assertive/man/is_batch_mode.Rd                             |   27 
 assertive-0.3-1/assertive/man/is_binding_locked.Rd                         |   46 -
 assertive-0.3-1/assertive/man/is_cas_number.Rd                             |   50 -
 assertive-0.3-1/assertive/man/is_character.Rd                              |  102 ---
 assertive-0.3-1/assertive/man/is_class.Rd                                  |   29 
 assertive-0.3-1/assertive/man/is_complex.Rd                                |   40 -
 assertive-0.3-1/assertive/man/is_connection.Rd                             |  146 ----
 assertive-0.3-1/assertive/man/is_credit_card_number.Rd                     |   72 --
 assertive-0.3-1/assertive/man/is_data.frame.Rd                             |   31 
 assertive-0.3-1/assertive/man/is_data.table.Rd                             |only
 assertive-0.3-1/assertive/man/is_date.Rd                                   |only
 assertive-0.3-1/assertive/man/is_date_string.Rd                            |   40 -
 assertive-0.3-1/assertive/man/is_debugged.Rd                               |   24 
 assertive-0.3-1/assertive/man/is_diagonal_matrix.Rd                        |only
 assertive-0.3-1/assertive/man/is_dir.Rd                                    |   27 
 assertive-0.3-1/assertive/man/is_divisible_by.Rd                           |   56 -
 assertive-0.3-1/assertive/man/is_email_address.Rd                          |   60 -
 assertive-0.3-1/assertive/man/is_empty.Rd                                  |  110 ---
 assertive-0.3-1/assertive/man/is_empty_character.Rd                        |only
 assertive-0.3-1/assertive/man/is_empty_file.Rd                             |   37 -
 assertive-0.3-1/assertive/man/is_empty_model.Rd                            |   36 -
 assertive-0.3-1/assertive/man/is_environment.Rd                            |   29 
 assertive-0.3-1/assertive/man/is_equal_to.Rd                               |only
 assertive-0.3-1/assertive/man/is_error_free.Rd                             |   17 
 assertive-0.3-1/assertive/man/is_executable_file.Rd                        |   46 -
 assertive-0.3-1/assertive/man/is_existing.Rd                               |   40 -
 assertive-0.3-1/assertive/man/is_existing_file.Rd                          |   36 -
 assertive-0.3-1/assertive/man/is_factor.Rd                                 |   33 
 assertive-0.3-1/assertive/man/is_finite.Rd                                 |   55 -
 assertive-0.3-1/assertive/man/is_function.Rd                               |   38 -
 assertive-0.3-1/assertive/man/is_hex_color.Rd                              |   49 -
 assertive-0.3-1/assertive/man/is_honorific.Rd                              |   44 -
 assertive-0.3-1/assertive/man/is_identity_matrix.Rd                        |only
 assertive-0.3-1/assertive/man/is_if_condition.Rd                           |   36 -
 assertive-0.3-1/assertive/man/is_in_past.Rd                                |   63 -
 assertive-0.3-1/assertive/man/is_in_range.Rd                               |  129 ---
 assertive-0.3-1/assertive/man/is_inherited_from.Rd                         |   30 
 assertive-0.3-1/assertive/man/is_integer.Rd                                |   38 -
 assertive-0.3-1/assertive/man/is_ip_address.Rd                             |   45 -
 assertive-0.3-1/assertive/man/is_isbn_code.Rd                              |   62 -
 assertive-0.3-1/assertive/man/is_language.Rd                               |   60 -
 assertive-0.3-1/assertive/man/is_leaf.Rd                                   |   23 
 assertive-0.3-1/assertive/man/is_library.Rd                                |   25 
 assertive-0.3-1/assertive/man/is_list.Rd                                   |   28 
 assertive-0.3-1/assertive/man/is_loaded.Rd                                 |   28 
 assertive-0.3-1/assertive/man/is_logical.Rd                                |   39 -
 assertive-0.3-1/assertive/man/is_lower_triangular_matrix.Rd                |only
 assertive-0.3-1/assertive/man/is_nan.Rd                                    |   40 -
 assertive-0.3-1/assertive/man/is_null.Rd                                   |   48 -
 assertive-0.3-1/assertive/man/is_numeric.Rd                                |   40 -
 assertive-0.3-1/assertive/man/is_numeric_string.Rd                         |only
 assertive-0.3-1/assertive/man/is_on_os_path.Rd                             |   29 
 assertive-0.3-1/assertive/man/is_package_current.Rd                        |   34 -
 assertive-0.3-1/assertive/man/is_qr.Rd                                     |   27 
 assertive-0.3-1/assertive/man/is_r.Rd                                      |  105 ---
 assertive-0.3-1/assertive/man/is_r_current.Rd                              |only
 assertive-0.3-1/assertive/man/is_raster.Rd                                 |   34 -
 assertive-0.3-1/assertive/man/is_raw.Rd                                    |   41 -
 assertive-0.3-1/assertive/man/is_real.Rd                                   |   65 -
 assertive-0.3-1/assertive/man/is_relistable.Rd                             |   27 
 assertive-0.3-1/assertive/man/is_rstudio_current.Rd                        |   23 
 assertive-0.3-1/assertive/man/is_rstudio_desktop.Rd                        |   24 
 assertive-0.3-1/assertive/man/is_s4.Rd                                     |   33 
 assertive-0.3-1/assertive/man/is_set_equal.Rd                              |   76 --
 assertive-0.3-1/assertive/man/is_single_character.Rd                       |   38 -
 assertive-0.3-1/assertive/man/is_square_matrix.Rd                          |only
 assertive-0.3-1/assertive/man/is_symmetric_matrix.Rd                       |   31 
 assertive-0.3-1/assertive/man/is_table.Rd                                  |   27 
 assertive-0.3-1/assertive/man/is_tbl.Rd                                    |only
 assertive-0.3-1/assertive/man/is_try_error.Rd                              |only
 assertive-0.3-1/assertive/man/is_ts.Rd                                     |   35 -
 assertive-0.3-1/assertive/man/is_uk_car_licence.Rd                         |   75 --
 assertive-0.3-1/assertive/man/is_uk_national_insurance_number.Rd           |   56 -
 assertive-0.3-1/assertive/man/is_uk_postcode.Rd                            |   44 -
 assertive-0.3-1/assertive/man/is_uk_telephone_number.Rd                    |   42 -
 assertive-0.3-1/assertive/man/is_unsorted.Rd                               |   44 -
 assertive-0.3-1/assertive/man/is_us_social_security_number.Rd              |only
 assertive-0.3-1/assertive/man/is_us_telephone_number.Rd                    |   55 -
 assertive-0.3-1/assertive/man/is_us_zip_code.Rd                            |   54 -
 assertive-0.3-1/assertive/man/is_valid_r_code.Rd                           |   27 
 assertive-0.3-1/assertive/man/is_valid_variable_name.Rd                    |   48 -
 assertive-0.3-1/assertive/man/is_whole_number.Rd                           |   50 -
 assertive-0.3-1/assertive/man/is_windows.Rd                                |  126 +--
 assertive-0.3-1/assertive/man/is_xxx_for_decimal_point.Rd                  |   81 --
 assertive-0.3-1/assertive/man/is_zero_matrix.Rd                            |only
 assertive-0.3-1/assertive/man/merge_dots_with_list.Rd                      |    2 
 assertive-0.3-1/assertive/man/n_elements.Rd                                |    6 
 assertive-0.3-1/assertive/man/na.Rd                                        |    4 
 assertive-0.3-1/assertive/man/parenthesize.Rd                              |    2 
 assertive-0.3-1/assertive/man/r_can_find_tools.Rd                          |   46 -
 assertive-0.3-1/assertive/man/r_has_jpeg_capability.Rd                     |  104 ---
 assertive-0.3-1/assertive/man/set_cause.Rd                                 |    2 
 assertive-0.3-1/assertive/man/strip_attributes.Rd                          |    2 
 assertive-0.3-1/assertive/man/sys_get_locale.Rd                            |   36 -
 assertive-0.3-1/assertive/man/use_first.Rd                                 |    2 
 assertive-0.3-1/assertive/tests/testthat/test-assertive-contents.R         |only
 225 files changed, 872 insertions(+), 4437 deletions(-)

More information about assertive at CRAN
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