Title: Convert R Graphics to Flash Animations
Description: Using the 'Ming' library
<http://www.libming.org/> to create Flash animations.
Users can either use the 'SWF' device swf() to generate 'SWF' file
directly through plotting functions like plot() and lines(),
or convert images of other formats ('SVG', 'PNG', 'JPEG') into 'SWF'.
Author: Yixuan Qiu, Yihui Xie, Cameron Bracken and authors of included
software. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>
Diff between R2SWF versions 0.9-1 dated 2015-09-20 and 0.9-2 dated 2017-08-31
DESCRIPTION | 17 +++++++++-------- MD5 | 22 ++++++++++++---------- cleanup |only inst/NEWS.Rd | 10 ++++++++++ man/dev2swf.Rd | 3 +-- man/file2swf.Rd | 3 +-- man/image2swf.Rd | 4 ++-- man/svg2swf.Rd | 4 ++-- man/swf.Rd | 3 +-- man/swf2html.Rd | 3 +-- src/Makevars.win | 3 +-- src/init.c |only src/swfFont.c | 15 +++++++++------ 13 files changed, 49 insertions(+), 38 deletions(-)
Title: Running 'MLwiN' from Within R
Description: An R command interface to the 'MLwiN' multilevel
modelling software package.
Author: Zhengzheng Zhang [aut, cre],
Chris Charlton [aut],
Richard Parker [aut],
George Leckie [aut],
William Browne [aut]
Maintainer: Zhengzheng Zhang <zhengzheng236@gmail.com>
Diff between R2MLwiN versions 0.8-4 dated 2017-06-24 and 0.8-5 dated 2017-08-31
DESCRIPTION | 8 +-- MD5 | 12 ++-- NEWS | 9 +++ R/Formula.translate.R | 40 +++++++++++----- R/runMLwiN.R | 122 ++++++++++++++++++++++++++++++++------------------ R/write.IGLS.R | 4 - R/write.MCMC.R | 7 +- 7 files changed, 133 insertions(+), 69 deletions(-)
Title: Deconvolute Mixed Genomes with Unknown Proportions
Description: Traditional phasing programs are limited to diploid organisms.
Our method modifies Li and Stephens algorithm with Markov chain Monte Carlo
(MCMC) approaches, and builds a generic framework that allows haplotype searches
in a multiple infection setting. This package is primarily developed as part of
the Pf3k project, which is a global collaboration using the latest
sequencing technologies to provide a high-resolution view of natural variation
in the malaria parasite Plasmodium falciparum. Parasite DNA are extracted from
patient blood sample, which often contains more than one parasite strain, with
unknown proportions. This package is used for deconvoluting mixed haplotypes,
and reporting the mixture proportions from each sample.
Author: Joe Zhu [aut, cre, cph],
Jacob Almagro-Garcia [aut, cph],
Gil McVean [aut, cph],
University of Oxford [cph],
Yinghan Liu [ctb],
CodeCogs Zyba Ltd [com, cph],
Deepak Bandyopadhyay [com, cph],
Lutz Kettner [com, cph]
Maintainer: Joe Zhu <joe.zhu@well.ox.ac.uk>
Diff between DEploid versions 0.4.2 dated 2017-08-09 and 0.4.4 dated 2017-08-31
DESCRIPTION | 8 ++-- MD5 | 16 ++++----- NAMESPACE | 2 - R/dEploidPlotly.R | 56 +++++++++++++++++++++++-------- inst/doc/dEploid-Arguments.html | 4 +- man/plotAltVsRefPlotly.Rd | 4 +- man/plotWSAFVsPLAFPlotly.Rd | 5 ++ src/DEploid/mcmc.cpp | 8 +++- tests/testthat/test-DEploid_tools.R | 64 +++++++++++++++++++++++++++++++++--- 9 files changed, 130 insertions(+), 37 deletions(-)
Title: Extensions to 'ggplot2' for Radiation Spectra
Description: Additional annotations, and stats for plotting "light"
spectra with 'ggplot2', together with specializations of ggplot()
and plot() methods for spectral data stored in objects of the classes
defined in package 'photobiology' and a plot() method for objects of
class "waveband", also defined in package 'photobiology'.
Author: Pedro J. Aphalo [aut, cre],
Titta K. Kotilainen [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>
Diff between ggspectra versions 0.2.1 dated 2017-03-20 and 0.2.2 dated 2017-08-31
ggspectra-0.2.1/ggspectra/R/plot-source-spct.R |only ggspectra-0.2.1/ggspectra/inst/doc/plot-methods.R |only ggspectra-0.2.1/ggspectra/inst/doc/plot-methods.Rmd |only ggspectra-0.2.1/ggspectra/inst/doc/plot-methods.html |only ggspectra-0.2.1/ggspectra/inst/doc/user-guide.R |only ggspectra-0.2.1/ggspectra/inst/doc/user-guide.Rmd |only ggspectra-0.2.1/ggspectra/inst/doc/user-guide.html |only ggspectra-0.2.1/ggspectra/inst/staticdocs |only ggspectra-0.2.1/ggspectra/vignettes/plot-methods.Rmd |only ggspectra-0.2.1/ggspectra/vignettes/user-guide.Rmd |only ggspectra-0.2.2/ggspectra/DESCRIPTION | 18 - ggspectra-0.2.2/ggspectra/MD5 | 129 +++---- ggspectra-0.2.2/ggspectra/NAMESPACE | 3 ggspectra-0.2.2/ggspectra/NEWS | 14 ggspectra-0.2.2/ggspectra/R/axis-utils-response-spct.R | 4 ggspectra-0.2.2/ggspectra/R/build-plot-title.R |only ggspectra-0.2.2/ggspectra/R/ggplot-methods.R | 57 +++ ggspectra-0.2.2/ggspectra/R/ggspectra.R | 19 - ggspectra-0.2.2/ggspectra/R/plot-cps-spct.R | 18 - ggspectra-0.2.2/ggspectra/R/plot-filter-spct.R | 169 +++++++--- ggspectra-0.2.2/ggspectra/R/plot-raw-spct.R | 44 ++ ggspectra-0.2.2/ggspectra/R/plot-response-spct.R | 22 + ggspectra-0.2.2/ggspectra/R/plot-source-spct.r |only ggspectra-0.2.2/ggspectra/R/stat-color.R | 4 ggspectra-0.2.2/ggspectra/R/stat-label-peaks.R | 12 ggspectra-0.2.2/ggspectra/R/stat-peaks.R | 8 ggspectra-0.2.2/ggspectra/R/stat-wb-box.R | 4 ggspectra-0.2.2/ggspectra/R/stat-wb-column.R | 2 ggspectra-0.2.2/ggspectra/R/stat-wb-contribution.R | 7 ggspectra-0.2.2/ggspectra/R/stat-wb-hbar.R | 2 ggspectra-0.2.2/ggspectra/R/stat-wb-irrad.R | 4 ggspectra-0.2.2/ggspectra/R/stat-wb-label.R | 4 ggspectra-0.2.2/ggspectra/R/stat-wb-mean.R | 12 ggspectra-0.2.2/ggspectra/R/stat-wb-relative.R | 7 ggspectra-0.2.2/ggspectra/R/stat-wb-sirrad.R | 4 ggspectra-0.2.2/ggspectra/R/stat-wb-total.R | 7 ggspectra-0.2.2/ggspectra/R/stat-wl-strip.R | 2 ggspectra-0.2.2/ggspectra/README.md | 2 ggspectra-0.2.2/ggspectra/build/vignette.rds |binary ggspectra-0.2.2/ggspectra/inst/doc/userguide1-grammar.R |only ggspectra-0.2.2/ggspectra/inst/doc/userguide1-grammar.Rmd |only ggspectra-0.2.2/ggspectra/inst/doc/userguide1-grammar.html |only ggspectra-0.2.2/ggspectra/inst/doc/userguide2-plot-methods.R |only ggspectra-0.2.2/ggspectra/inst/doc/userguide2-plot-methods.Rmd |only ggspectra-0.2.2/ggspectra/inst/doc/userguide2-plot-methods.html |only ggspectra-0.2.2/ggspectra/man/Afr_plot.Rd | 6 ggspectra-0.2.2/ggspectra/man/O_plot.Rd | 4 ggspectra-0.2.2/ggspectra/man/R_plot.Rd | 4 ggspectra-0.2.2/ggspectra/man/cps_plot.Rd | 2 ggspectra-0.2.2/ggspectra/man/e_plot.Rd | 4 ggspectra-0.2.2/ggspectra/man/e_rsp_plot.Rd | 2 ggspectra-0.2.2/ggspectra/man/gg2spectra-ggproto.Rd | 2 ggspectra-0.2.2/ggspectra/man/ggplot.Rd | 12 ggspectra-0.2.2/ggspectra/man/ggspectra-package.Rd | 21 - ggspectra-0.2.2/ggspectra/man/plot.cps_spct.Rd | 5 ggspectra-0.2.2/ggspectra/man/plot.filter_spct.Rd | 17 - ggspectra-0.2.2/ggspectra/man/plot.object_spct.Rd | 13 ggspectra-0.2.2/ggspectra/man/plot.raw_spct.Rd | 8 ggspectra-0.2.2/ggspectra/man/plot.reflector_spct.Rd | 11 ggspectra-0.2.2/ggspectra/man/plot.response_spct.Rd | 2 ggspectra-0.2.2/ggspectra/man/plot.source_spct.Rd | 6 ggspectra-0.2.2/ggspectra/man/q_plot.Rd | 4 ggspectra-0.2.2/ggspectra/man/q_rsp_plot.Rd | 2 ggspectra-0.2.2/ggspectra/man/raw_plot.Rd | 2 ggspectra-0.2.2/ggspectra/man/s.e.irrad_label.Rd | 9 ggspectra-0.2.2/ggspectra/man/s.e.response_label.Rd | 4 ggspectra-0.2.2/ggspectra/man/scale_y_s.e.irrad_continuous.Rd | 10 ggspectra-0.2.2/ggspectra/man/scale_y_s.e.response_continuous.Rd | 5 ggspectra-0.2.2/ggspectra/man/stat_color.Rd | 2 ggspectra-0.2.2/ggspectra/man/stat_label_peaks.Rd | 8 ggspectra-0.2.2/ggspectra/man/stat_wb_mean.Rd | 5 ggspectra-0.2.2/ggspectra/man/stat_wl_strip.Rd | 2 ggspectra-0.2.2/ggspectra/man/subtitle_spct.generic_spct.Rd |only ggspectra-0.2.2/ggspectra/man/title_spct.Rd |only ggspectra-0.2.2/ggspectra/vignettes/userguide1-grammar.Rmd |only ggspectra-0.2.2/ggspectra/vignettes/userguide2-plot-methods.Rmd |only 76 files changed, 488 insertions(+), 262 deletions(-)
Title: Generalized Survival Models
Description: R implementation of generalized survival models, where g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth. For fully parametric models with natural splines, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects. This also includes a smooth implementation of accelerated failure time models.
Author: Mark Clements [aut, cre], Xing-Rong Liu [aut], Paul Lambert [ctb]
Maintainer: Mark Clements <mark.clements@ki.se>
Diff between rstpm2 versions 1.3.4 dated 2016-10-09 and 1.4.0 dated 2017-08-31
rstpm2-1.3.4/rstpm2/inst/ihe-expect-utilities-males.png |only rstpm2-1.3.4/rstpm2/inst/ihe-expected-utilites.png |only rstpm2-1.4.0/rstpm2/DESCRIPTION | 14 rstpm2-1.4.0/rstpm2/MD5 | 63 rstpm2-1.4.0/rstpm2/NAMESPACE | 12 rstpm2-1.4.0/rstpm2/R/aft.R |only rstpm2-1.4.0/rstpm2/R/pm2-3.R | 1315 +++++++++++----- rstpm2-1.4.0/rstpm2/R/tvc.coxph.R | 4 rstpm2-1.4.0/rstpm2/R/zzz.R |only rstpm2-1.4.0/rstpm2/build/vignette.rds |binary rstpm2-1.4.0/rstpm2/inst/Thumbs.db |only rstpm2-1.4.0/rstpm2/inst/aft.aux |only rstpm2-1.4.0/rstpm2/inst/aft.log |only rstpm2-1.4.0/rstpm2/inst/aft.pdf |only rstpm2-1.4.0/rstpm2/inst/aft.tex |only rstpm2-1.4.0/rstpm2/inst/auto |only rstpm2-1.4.0/rstpm2/inst/doc/Introduction.Rnw | 2 rstpm2-1.4.0/rstpm2/inst/doc/Introduction.pdf |binary rstpm2-1.4.0/rstpm2/inst/math.aux |only rstpm2-1.4.0/rstpm2/inst/math.fdb_latexmk |only rstpm2-1.4.0/rstpm2/inst/math.fls |only rstpm2-1.4.0/rstpm2/inst/math.html |only rstpm2-1.4.0/rstpm2/inst/math.input |only rstpm2-1.4.0/rstpm2/inst/math.log |only rstpm2-1.4.0/rstpm2/inst/math.org |only rstpm2-1.4.0/rstpm2/inst/math.out |only rstpm2-1.4.0/rstpm2/inst/math.tex |only rstpm2-1.4.0/rstpm2/inst/math.toc |only rstpm2-1.4.0/rstpm2/inst/test.do | 9 rstpm2-1.4.0/rstpm2/inst/working_code.R | 433 +++++ rstpm2-1.4.0/rstpm2/man/aft-class.Rd |only rstpm2-1.4.0/rstpm2/man/aft.Rd |only rstpm2-1.4.0/rstpm2/man/nsxD.Rd |only rstpm2-1.4.0/rstpm2/man/numDeltaMethod.Rd | 5 rstpm2-1.4.0/rstpm2/man/predict-methods.Rd | 28 rstpm2-1.4.0/rstpm2/man/predictnl.default.Rd | 5 rstpm2-1.4.0/rstpm2/man/pstpm2.Rd | 5 rstpm2-1.4.0/rstpm2/man/residuals-methods.Rd |only rstpm2-1.4.0/rstpm2/man/stpm2.Rd | 5 rstpm2-1.4.0/rstpm2/src/aft.cpp |only rstpm2-1.4.0/rstpm2/src/c_optim.cpp | 22 rstpm2-1.4.0/rstpm2/src/c_optim.h | 10 rstpm2-1.4.0/rstpm2/src/package_init.c |only rstpm2-1.4.0/rstpm2/src/test-nmmin.cpp | 788 ++++++++- rstpm2-1.4.0/rstpm2/vignettes/Introduction.Rnw | 2 45 files changed, 2196 insertions(+), 526 deletions(-)
Title: Estimate (Generalized) Linear Mixed Models with Factor
Structures
Description: Utilizes the 'lme4' package and the optim() function from 'stats'
to estimate (generalized) linear mixed models (GLMM) with factor
structures using a profile likelihood approach, as outlined in
Jeon and Rabe-Hesketh (2012) <doi:10.3102/1076998611417628>.
Factor analysis and item response models can be extended to allow
for an arbitrary number of nested and crossed random effects,
making it useful for multilevel and cross-classified models.
Author: Minjeong Jeon [aut],
Nicholas Rockwood [aut, cre]
Maintainer: Nicholas Rockwood <rockwood.19@osu.edu>
Diff between PLmixed versions 0.1.0 dated 2017-07-18 and 0.1.1 dated 2017-08-31
DESCRIPTION | 8 MD5 | 15 R/PLmixed_main_function.R | 1271 +++++++++++++++++++++++----------------------- README.md |only build |only inst |only man/PLmixed-package.Rd | 2 man/PLmixed.Rd | 16 vignettes |only 9 files changed, 682 insertions(+), 630 deletions(-)
Title: Prediction Rule Ensembles
Description: Derives prediction rule ensembles (PREs). Largely follows the
procedure for deriving PREs as described in Friedman & Popescu (2008;
<DOI:10.1214/07-AOAS148>), with several adjustments and improvements. The
main function pre() derives prediction rule ensembles consisting of rules
and/or linear terms for binary, count and continuous responses. Function
gpe() derives generalized prediction ensembles, consisting of rules, hinge
and linear functions of the predictor variables.
Author: Marjolein Fokkema [aut, cre], Benjamin Christoffersen [aut]
Maintainer: Marjolein Fokkema <m.fokkema@fsw.leidenuniv.nl>
Diff between pre versions 0.3.0 dated 2017-08-03 and 0.4 dated 2017-08-31
pre-0.3.0/pre/inst/README-figures/README-unnamed-chunk-4-2.png |only pre-0.4/pre/DESCRIPTION | 6 pre-0.4/pre/MD5 | 30 pre-0.4/pre/NEWS | 23 pre-0.4/pre/R/data.R |only pre-0.4/pre/R/gpe.R | 17 pre-0.4/pre/R/pre.R | 848 +++++++--- pre-0.4/pre/README.md | 13 pre-0.4/pre/data |only pre-0.4/pre/inst/README-figures/README-unnamed-chunk-11-1.png |binary pre-0.4/pre/inst/README-figures/README-unnamed-chunk-4-1.png |binary pre-0.4/pre/inst/README-figures/README-unnamed-chunk-9-1.png |binary pre-0.4/pre/man/bsnullinteract.Rd | 6 pre-0.4/pre/man/carrillo.Rd |only pre-0.4/pre/man/corplot.Rd | 3 pre-0.4/pre/man/interact.Rd | 20 pre-0.4/pre/man/plot.pre.Rd | 4 pre-0.4/pre/man/pre.Rd | 39 18 files changed, 716 insertions(+), 293 deletions(-)
Title: Support for Linear Models
Description: Provides tools and a consistent interface to support analyses using General, Generalized, and Multi-level Linear Models.
Author: John Curtin <jjcurtin@wisc.edu>
Maintainer: John Curtin <jjcurtin@wisc.edu>
Diff between lmSupport versions 2.9.8 dated 2017-01-17 and 2.9.11 dated 2017-08-31
DESCRIPTION | 14 +++---- MD5 | 50 ++++++++++++++------------- NAMESPACE | 3 + R/figLabDefaults.R | 2 - R/figLegend.R | 11 +++--- R/modelPower.R | 25 +++++++++++-- R/modelRmd.R | 85 ++++++++++++++++++++++++++++++----------------- R/varPadString.R |only man/dfRemoveCases.Rd | 5 +- man/dfWriteDat.Rd | 7 ++- man/figLegend.Rd | 8 ++-- man/modelBoxCox.Rd | 5 +- man/modelCaseAnalysis.Rd | 11 +++--- man/modelCompare.Rd | 7 ++- man/modelCorrectSE.Rd | 5 +- man/modelEffectSizes.Rd | 5 +- man/modelErrors.Rd | 5 +- man/modelPower.Rd | 16 ++++---- man/modelPredictions.Rd | 15 ++++---- man/modelR2.Rd | 5 +- man/modelRmd.Rd | 10 ++--- man/modelSummary.Rd | 5 +- man/varDescribe.Rd | 7 ++- man/varDescribeBy.Rd | 3 + man/varPadString.Rd |only man/varPlot.Rd | 7 ++- man/varRegressors.Rd | 9 ++-- 27 files changed, 194 insertions(+), 131 deletions(-)
Title: Converting Weekly Data to Monthly Data
Description: Converts weekly data to monthly data.
Users can use three types of week formats: ISO week, epidemiology week (epi week) and calendar date.
Author: You Li [aut, cre]
Maintainer: You Li <You.Li2@ed.ac.uk>
Diff between wktmo versions 1.0.3 dated 2017-06-05 and 1.0.5 dated 2017-08-31
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- R/weekToMonth.R | 2 +- R/weeklyFlu.R | 2 +- README.md | 24 +++++++++++++++++++++++- man/weeklyFlu.Rd | 2 +- 6 files changed, 35 insertions(+), 13 deletions(-)
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 2.1-0 dated 2017-04-12 and 2.1-5 dated 2017-08-31
openair-2.1-0/openair/R/RcppExports.R |only openair-2.1-0/openair/R/airbaseFindCode.R |only openair-2.1-0/openair/R/airbaseInfo.R |only openair-2.1-0/openair/R/airbaseSplice.R |only openair-2.1-0/openair/R/airbaseStats.R |only openair-2.1-0/openair/R/importAirbase.R |only openair-2.1-0/openair/man/airbaseFindCode.Rd |only openair-2.1-0/openair/man/airbaseInfo.Rd |only openair-2.1-0/openair/man/airbaseSplice.Rd |only openair-2.1-0/openair/man/airbaseStats.Rd |only openair-2.1-0/openair/man/importAirbase.Rd |only openair-2.1-0/openair/src/Cquantile.cpp |only openair-2.1-0/openair/src/RcppExports.cpp |only openair-2.1-0/openair/src/registerDynamicSymbol.c |only openair-2.1-5/openair/DESCRIPTION | 8 openair-2.1-5/openair/MD5 | 63 - openair-2.1-5/openair/NAMESPACE | 6 openair-2.1-5/openair/R/TheilSen.R | 12 openair-2.1-5/openair/R/calcFno2.R | 2 openair-2.1-5/openair/R/calendarPlot.R | 8 openair-2.1-5/openair/R/conditionalEval.R | 368 +++---- openair-2.1-5/openair/R/cutData.R | 10 openair-2.1-5/openair/R/date.breaks.R | 2 openair-2.1-5/openair/R/kernelExceed.R | 2 openair-2.1-5/openair/R/openair-package.R | 5 openair-2.1-5/openair/R/polarCluster.R | 3 openair-2.1-5/openair/R/scatterPlot.R | 2 openair-2.1-5/openair/R/timeAverage.R | 20 openair-2.1-5/openair/R/timeVariation.R | 4 openair-2.1-5/openair/R/trajCluster.R | 8 openair-2.1-5/openair/R/trajLevel.R | 4 openair-2.1-5/openair/R/utilities.R | 35 openair-2.1-5/openair/R/windRose.R | 1098 +++++++++++----------- openair-2.1-5/openair/README.md | 2 openair-2.1-5/openair/man/conditionalEval.Rd | 284 ++--- openair-2.1-5/openair/man/openair.Rd | 5 openair-2.1-5/openair/src/init.c |only openair-2.1-5/openair/src/rolling.cpp | 2 openair-2.1-5/openair/tools/unnamed-chunk-6-1.png |binary openair-2.1-5/openair/tools/unnamed-chunk-7-1.png |binary 40 files changed, 971 insertions(+), 982 deletions(-)
Title: Interpreting Time Series and Autocorrelated Data Using GAMMs
Description: GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999)
as implemented in the R package 'mgcv' (Wood, S.N., 2006; 2011) is a nonlinear
regression analysis which is particularly useful for time course data such as
EEG, pupil dilation, gaze data (eye tracking), and articulography recordings,
but also for behavioral data such as reaction times and response data. As time
course measures are sensitive to autocorrelation problems, GAMMs implements
methods to reduce the autocorrelation problems. This package includes functions
for the evaluation of GAMM models (e.g., model comparisons, determining regions
of significance, inspection of autocorrelational structure in residuals)
and interpreting of GAMMs (e.g., visualization of complex interactions, and
contrasts).
Author: Jacolien van Rij [aut, cre],
Martijn Wieling [aut],
R. Harald Baayen [aut],
Hedderik van Rijn [ctb]
Maintainer: Jacolien van Rij <vanrij.jacolien@gmail.com>
Diff between itsadug versions 2.2 dated 2016-06-13 and 2.3 dated 2017-08-31
DESCRIPTION | 12 - MD5 | 116 +++++------ R/inspect.R | 420 ++++++++++++++++++++++++++++++++---------- R/itsadug.R | 4 R/predict.R | 184 +++++++++++++++++- R/test.R | 292 ++++++++++++++++++++--------- build/vignette.rds |binary inst/NEWS | 58 +++++ inst/doc/acf.html | 38 +-- inst/doc/inspect.R | 2 inst/doc/inspect.Rmd | 2 inst/doc/inspect.html | 174 ++++++++--------- inst/doc/test.html | 81 ++++---- man/acf_n_plots.Rd | 7 man/acf_plot.Rd | 7 man/acf_resid.Rd | 7 man/check_resid.Rd | 8 man/compareML.Rd | 34 +-- man/convertNonAlphanumeric.Rd | 7 man/derive_timeseries.Rd | 7 man/diagnostics.Rd | 8 man/diff_terms.Rd | 7 man/eeg.Rd | 1 man/fadeRug.Rd | 10 - man/find_difference.Rd | 7 man/fvisgam.Rd | 62 +++++- man/gamtabs.Rd | 8 man/get_coefs.Rd | 7 man/get_difference.Rd | 29 ++ man/get_fitted.Rd | 7 man/get_modelterm.Rd | 7 man/get_pca_predictions.Rd | 7 man/get_predictions.Rd | 52 ++++- man/get_random.Rd | 7 man/info.Rd | 1 man/infoMessages.Rd | 1 man/inspect_random.Rd | 7 man/itsadug.Rd | 4 man/missing_est.Rd | 7 man/plot_data.Rd | 8 man/plot_diff.Rd | 103 ++++++---- man/plot_diff2.Rd | 66 +++++- man/plot_modelfit.Rd | 8 man/plot_parametric.Rd | 8 man/plot_pca_surface.Rd | 11 - man/plot_smooth.Rd | 56 ++++- man/plot_topo.Rd | 16 + man/print_summary.Rd | 7 man/pvisgam.Rd | 52 +++-- man/report_stats.Rd | 7 man/resid_gam.Rd | 9 man/rug_model.Rd | 7 man/simdat.Rd | 1 man/start_event.Rd | 8 man/start_value_rho.Rd | 7 man/summary_data.Rd | 7 man/timeBins.Rd | 7 man/wald_gam.Rd | 8 vignettes/inspect.Rmd | 2 59 files changed, 1422 insertions(+), 675 deletions(-)
Title: Fit a Generalized Linear Mixed Model
Description: Conduct inference about generalized linear mixed models, with a
choice about which method to use to approximate the likelihood. In addition
to the Laplace and adaptive Gaussian quadrature approximations, which are
borrowed from 'lme4', the likelihood may be approximated by the sequential
reduction approximation, or an importance sampling approximation. These
methods provide an accurate approximation to the likelihood in some
situations where it is not possible to use adaptive Gaussian quadrature.
Author: Helen Ogden [aut, cre]
Maintainer: Helen Ogden <heogden12@gmail.com>
Diff between glmmsr versions 0.1.1 dated 2016-03-13 and 0.2.0 dated 2017-08-31
DESCRIPTION | 11 - MD5 | 119 +++++++------- R/IS.R | 39 +++- R/RcppExports.R | 66 +++++--- R/RcppR6.R | 37 ++++ R/control.R | 11 + R/fit.R | 27 +++ R/glmmFit.R | 2 R/hol.R |only R/laplace.R |only R/loglikelihood.R | 28 ++- R/model_frames.R | 4 R/modify_subexpr.R | 44 +---- R/optimization.R | 27 +-- README.md | 6 build/vignette.rds |binary inst/RcppR6.yml | 2 inst/doc/glmmsr-vignette.R | 7 inst/doc/glmmsr-vignette.Rmd | 19 +- inst/doc/glmmsr-vignette.pdf |binary inst/extended_family.yml |only inst/include/Binomial.h | 2 inst/include/Family.h | 2 inst/include/FamilyBase.h | 2 inst/include/FamilyGivenMean.h | 3 inst/include/Link.h | 4 inst/include/LinkBase.h | 4 inst/include/LogitLink.h | 4 inst/include/ProbitLink.h | 3 inst/include/glmmsr/RcppR6_post.hpp | 11 + inst/include/glmmsr/RcppR6_pre.hpp | 4 inst/include/glmmsr/RcppR6_support.hpp | 2 man/calibration_parameters.Rd | 1 man/cluster_graph.Rd | 1 man/continuous_beliefs.Rd | 1 man/find_approximation_name.Rd | 1 man/find_lfun_glmm.Rd | 1 man/find_modfr_glmm.Rd | 3 man/glmm.Rd | 13 + man/glmmFit.Rd | 1 man/glmmsr.Rd | 1 man/optimize_glmm.Rd | 1 man/print.glmmFit.Rd | 1 man/print.summaryGlmmFit.Rd | 1 man/summary.glmmFit.Rd | 1 man/summaryGlmmFit.Rd | 1 man/three_level.Rd | 1 man/two_level.Rd | 1 src/Binomial.cpp | 26 ++- src/Family.cpp | 41 ++++ src/FamilyGivenMean.cpp | 14 + src/Link.cpp | 11 + src/LogitLink.cpp | 18 ++ src/ProbitLink.cpp | 18 ++ src/RcppExports.cpp | 271 +++++++++++++++++++++++---------- src/RcppR6.cpp | 29 +++ tests/testthat/test_Shun1995.R |only tests/testthat/test_extended_family.R |only tests/testthat/test_fit.R | 206 ++++++++++--------------- tests/testthat/test_laplace.R |only tests/testthat/test_loglikelihood.R | 6 tests/testthat/test_subformula.R | 78 +++++++++ tests/testthat/test_weights.R |only vignettes/glmmsr-vignette.Rmd | 19 +- 64 files changed, 873 insertions(+), 384 deletions(-)
Title: Generation of IRT Response Patterns under Computerized Adaptive
Testing
Description: Provides routines for the generation of response patterns under unidimensional dichotomous and polytomous computerized adaptive testing (CAT) framework. It holds many standard functions to estimate ability, select the first item(s) to administer and optimally select the next item, as well as several stopping rules. Options to control for item exposure and content balancing are also available (Magis and Raiche (2012) <doi:10.18637/jss.v048.i08>).
Author: David Magis (U Liege, Belgium), Gilles Raiche (UQAM, Canada), Juan Ramon Barrada (U Zaragoza, Spain)
Maintainer: David Magis <david.magis@ulg.ac.be>
Diff between catR versions 3.12 dated 2017-01-08 and 3.13 dated 2017-08-31
DESCRIPTION | 8 +-- MD5 | 48 ++++++++++---------- NEWS | 60 +++++++++++++++++++++++++ R/Ii.R | 2 R/nextItem.R | 87 +++++++++++++++++++++++-------------- R/randomCAT.R | 122 +++++++++++++++++++++++++++------------------------- R/startItems.R | 74 +++++++++++++++++-------------- build/partial.rdb |binary data/cat_pav.txt.gz |only inst/CITATION | 4 - man/EPV.Rd | 14 ++--- man/Ii.Rd | 8 +-- man/Ji.Rd | 8 +-- man/KL.Rd | 26 +++++------ man/MEI.Rd | 16 +++--- man/MWI.Rd | 18 +++---- man/OIi.Rd | 14 ++--- man/Pi.Rd | 8 +-- man/cat_pav.Rd |only man/eapEst.Rd | 14 ++--- man/eapSem.Rd | 20 ++++---- man/genPattern.Rd | 10 ++-- man/nextItem.Rd | 21 ++++---- man/randomCAT.Rd | 13 +++-- man/semTheta.Rd | 40 ++++++++--------- man/startItems.Rd | 28 +++++------ 26 files changed, 386 insertions(+), 277 deletions(-)
Title: Bayesian Nonparametric Model for Clustering with Mixed Scale
Variables
Description: Bayesian nonparametric approach for clustering that is capable to combine different types of variables (continuous, ordinal and nominal) and also accommodates for different sampling probabilities in a complex survey design. The model is based on a location mixture model with a Poisson-Dirichlet process prior on the location parameters of the associated latent variables. The package performs the clustering model described in Carmona, C., Nieto-Barajas, L. E., Canale, A. (2016) <arXiv:1612.00083>.
Author: Christian Carmona [aut, cre],
Luis Nieto-Barajas [aut],
Antonio Canale [ctb]
Maintainer: Christian Carmona <carmona@stats.ox.ac.uk>
Diff between BNPMIXcluster versions 0.2.0 dated 2017-02-01 and 1.1.0 dated 2017-08-31
DESCRIPTION | 18 ++-- MD5 | 50 +++++++----- NAMESPACE | 3 R/MIXclustering.R | 179 ++++++++++++++++++++++++++-------------------- R/RcppExports.R |only R/get_latents.R | 8 +- R/log_f_post_Lambda_jj.R | 2 R/log_f_post_Omega.R | 8 +- R/log_f_post_a.R | 9 +- R/sampling_Lambda_jj.R | 59 ++++++++++----- R/sampling_Omega_ij.R | 44 +++++++---- R/sampling_a.R | 22 +++-- R/sampling_b.R | 36 ++++++--- R/sim.cluster.data.R | 2 man/MIXclustering.Rd | 14 ++- man/get_latents.Rd | 5 - man/plot.MIXcluster.Rd | 1 man/poverty.data.Rd | 1 man/sampling_Omega_ij.Rd | 4 - man/sampling_a.Rd | 3 man/sim.cluster.data.Rd | 1 man/summary.MIXcluster.Rd | 1 src |only 23 files changed, 290 insertions(+), 180 deletions(-)
Title: 'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest
Neighbors
Description: 'Annoy' is a small C++ library for Approximate Nearest Neighbors
written for efficient memory usage as well an ability to load from / save to
disk. This package provides an R interface by relying on the 'Rcpp' package,
exposing the same interface as the original Python wrapper to 'Annoy'. See
<https://github.com/spotify/annoy> for more on 'Annoy'. 'Annoy' is released
under Version 2.0 of the Apache License. Also included is a small Windows
port of 'mmap' which is released under the MIT license.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RcppAnnoy versions 0.0.8 dated 2016-10-01 and 0.0.9 dated 2017-08-31
ChangeLog | 53 +++++++++ DESCRIPTION | 8 - MD5 | 26 ++-- NAMESPACE | 2 R/annoy.R | 1 README.md | 4 inst/NEWS.Rd | 14 ++ inst/include/annoylib.h | 248 ++++++++++++++++++++++++++----------------- inst/include/kissrandom.h | 6 + inst/tests/runit.angular.R | 20 +-- inst/tests/runit.euclidean.R | 81 ++++++++------ inst/tests/runit.manhattan.R |only man/RcppAnnoy-package.Rd | 4 src/annoy.cpp | 127 +++++----------------- src/init.c |only 15 files changed, 340 insertions(+), 254 deletions(-)
Title: Infrastructure to Assemble Multi-Panel Figures (from Grobs)
Description: Tools to create a layout for figures made of multiple panels, and
to fill the panels with base, 'lattice', 'ggplot2' and 'ComplexHeatmap'
plots, grobs, and PNG, JPEG, SVG and TIFF images.
Author: Johannes Graumann [cre, aut],
Richard Cotton [ctb]
Maintainer: Johannes Graumann <jog2030@qatar-med.cornell.edu>
Diff between multipanelfigure versions 0.10.3 dated 2017-08-26 and 0.10.5 dated 2017-08-31
DESCRIPTION | 21 +++++++++++---------- MD5 | 10 +++++----- NAMESPACE | 1 - R/fill_panel.R | 7 +++++-- inst/doc/panel-positioning.html | 4 ++-- inst/doc/scaling-clipping-images.html | 4 ++-- 6 files changed, 25 insertions(+), 22 deletions(-)
More information about multipanelfigure at CRAN
Permanent link
Title: Generate Descriptive Statistics & Explore Statistical
Distributions
Description: Generate descriptive statistics such as measures of location,
dispersion, frequency tables, cross tables, group summaries and multiple
one/two way tables. Visualize and compute percentiles/probabilities of
normal, t, f, chi square and binomial distributions.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Diff between descriptr versions 0.1.1 dated 2017-06-01 and 0.2.0 dated 2017-08-31
DESCRIPTION | 13 +++--- MD5 | 80 ++++++++++++++++++++-------------------- NAMESPACE | 5 ++ NEWS.md | 10 +++++ R/freq-cat.R | 62 ++++++++++++++++++------------- R/freq-mult.R | 65 ++++++++++++++++---------------- R/mult-table.R | 4 +- R/output.R | 10 ++--- README.md | 3 - build/vignette.rds |binary inst/doc/descriptive-stats.R | 8 +++- inst/doc/descriptive-stats.Rmd | 8 +++- inst/doc/descriptive-stats.html | 60 ++++++++++++++++-------------- inst/doc/distributions.html | 72 ++++++++++++++++++------------------ man/binom_plot.Rd | 3 - man/chi_plot.Rd | 3 - man/cross_table.Rd | 3 - man/f_plot.Rd | 3 - man/freq_cont.Rd | 1 man/freq_table.Rd | 12 +++--- man/gmean.Rd | 1 man/group_summary.Rd | 3 - man/hmean.Rd | 1 man/hsb.Rd | 1 man/kurtosis.Rd | 1 man/norm_plot.Rd | 3 - man/oway_tables.Rd | 1 man/rindex.Rd | 1 man/screener.Rd | 3 - man/skewness.Rd | 1 man/stat_css.Rd | 1 man/stat_cvar.Rd | 1 man/stat_mdev.Rd | 1 man/stat_mode.Rd | 1 man/stat_range.Rd | 1 man/summary_stats.Rd | 1 man/t_plot.Rd | 3 - man/tailobs.Rd | 1 tests/testthat/test-freq-cat.R | 16 ++++---- tests/testthat/test-output.R | 4 +- vignettes/descriptive-stats.Rmd | 8 +++- 41 files changed, 249 insertions(+), 230 deletions(-)
Title: Loading Google Adwords Data into R
Description: Aims at loading Google Adwords data into R. Adwords is an online
advertising service that enables advertisers to display advertising copy to web
users (see <https://developers.google.com/adwords/> for more information).
Therefore the package implements three main features. First, the package
provides an authentication process for R with the Google Adwords API (see
<https://developers.google.com/adwords/api/> for more information) via OAUTH2.
Second, the package offers an interface to apply the Adwords query language in
R and query the Adwords API with ad-hoc reports. Third, the received data are
transformed into suitable data formats for further data processing and data
analysis.
Author: Johannes Burkhardt <johannes.burkhardt@gmail.com>, Matthias Bannert
<matthias.bannert@gmail.com>
Maintainer: Johannes Burkhardt <johannes.burkhardt@gmail.com>
Diff between RAdwords versions 0.1.12 dated 2017-04-06 and 0.1.13 dated 2017-08-31
RAdwords-0.1.12/RAdwords/inst/extdata/api201607 |only RAdwords-0.1.12/RAdwords/inst/extdata/api201609 |only RAdwords-0.1.13/RAdwords/DESCRIPTION | 8 - RAdwords-0.1.13/RAdwords/MD5 | 167 +++++++++--------------- RAdwords-0.1.13/RAdwords/NEWS | 8 + RAdwords-0.1.13/RAdwords/R/getData.R | 4 RAdwords-0.1.13/RAdwords/R/reports.R | 7 - RAdwords-0.1.13/RAdwords/R/transformData.R | 5 RAdwords-0.1.13/RAdwords/README.md | 9 + RAdwords-0.1.13/RAdwords/inst/extdata/api201708 |only RAdwords-0.1.13/RAdwords/man/changeNames.Rd | 1 RAdwords-0.1.13/RAdwords/man/doAuth.Rd | 1 RAdwords-0.1.13/RAdwords/man/figures |only RAdwords-0.1.13/RAdwords/man/getAuth.Rd | 1 RAdwords-0.1.13/RAdwords/man/getData.Rd | 7 - RAdwords-0.1.13/RAdwords/man/loadToken.Rd | 1 RAdwords-0.1.13/RAdwords/man/metrics.Rd | 1 RAdwords-0.1.13/RAdwords/man/refreshToken.Rd | 1 RAdwords-0.1.13/RAdwords/man/reports.Rd | 5 RAdwords-0.1.13/RAdwords/man/statement.Rd | 1 RAdwords-0.1.13/RAdwords/man/transformData.Rd | 3 21 files changed, 95 insertions(+), 135 deletions(-)
Title: Non-Homogeneous Markov Switching Autoregressive Models
Description: Calibration, simulation, validation of (non-)homogeneous Markov switching autoregressive models with Gaussian or von Mises innovations. Penalization methods are implemented for Markov Switching Vector Autoregressive Models of order 1 only. Most functions of the package handle missing values.
Author: Valerie Monbet
Maintainer: Valerie Monbet <valerie.monbet@gmail.com>
Diff between NHMSAR versions 1.5 dated 2017-05-25 and 1.6 dated 2017-08-31
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- NAMESPACE | 2 +- R/valid_all.MSAR.R | 7 +++++++ 4 files changed, 16 insertions(+), 9 deletions(-)
Title: Dynamic Model Averaging and Dynamic Model Selection for
Continuous Outcomes
Description: It allows to estimate Dynamic Model Averaging, Dynamic Model Selection and Median Probability Model. The original methods (see References) are implemented, as well as, selected further modifications of these methods. In particular the User might choose between recursive moment estimation and exponentially moving average for variance updating. Inclusion probabilities might be modified in a way using Google Trends. The code is written in a way which minimises the computational burden (which is quite an obstacle for Dynamic Model Averaging if many variables are used). For example, this package allows for parallel computations under Windows machines. Additionally, the User might reduce a set of models according to a certain algorithm. The package is designed in a way that is hoped to be especially useful in economics and finance.
Author: Krzysztof Drachal [aut, cre] (Faculty of Economic Sciences, University of Warsaw, Poland)
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>
Diff between fDMA versions 1.1 dated 2017-07-11 and 2.0 dated 2017-08-31
DESCRIPTION | 14 MD5 | 130 ++++- NAMESPACE | 35 + NEWS | 44 + R/altf.R | 501 ++++++++++++++++++-- R/altf2.R |only R/altf3.R |only R/altf4.R |only R/archtest.R |only R/dmtest.R |only R/fDMA.R | 1031 ++++++++++++++++++------------------------- R/gNormalize.R | 2 R/grid.DMA.R | 6 R/grid.roll.reg.R |only R/grid.tvp.R |only R/hmdmtest.R |only R/mdmtest.R |only R/normalize.R | 2 R/plot.altf.R |only R/plot.altf2.R |only R/plot.altf3.R |only R/plot.altf4.R |only R/plot.dma.R | 98 +++- R/plot.grid.dma.R | 6 R/plot.grid.roll.reg.R |only R/plot.grid.tvp.R |only R/plot.reg.R |only R/plot.tvp.R |only R/print.altf.R |only R/print.altf2.R |only R/print.altf3.R |only R/print.altf4.R |only R/print.dma.R | 2 R/print.grid.dma.R | 4 R/print.grid.roll.reg.R |only R/print.grid.tvp.R |only R/print.reg.R |only R/print.tvp.R |only R/rec.reg.R |only R/roll.reg.R | 206 ++++++++ R/stest.R |only R/summary.altf.R |only R/summary.altf2.R |only R/summary.altf3.R |only R/summary.altf4.R |only R/summary.dma.R | 11 R/summary.grid.dma.R | 6 R/summary.grid.roll.reg.R |only R/summary.grid.tvp.R |only R/summary.reg.R |only R/summary.tvp.R |only R/tvp.R | 140 ++++- man/altf.Rd | 27 - man/altf2.Rd |only man/altf3.Rd |only man/altf4.Rd |only man/archtest.Rd |only man/crudeoil.Rd | 11 man/dmtest.Rd |only man/fDMA.Rd | 20 man/gNormalize.Rd | 6 man/grid.DMA.Rd | 4 man/grid.roll.reg.Rd |only man/grid.tvp.Rd |only man/hmdmtest.Rd |only man/mdmtest.Rd |only man/plot.altf.Rd |only man/plot.altf2.Rd |only man/plot.altf3.Rd |only man/plot.altf4.Rd |only man/plot.dma.Rd | 23 man/plot.grid.dma.Rd | 6 man/plot.grid.roll.reg.Rd |only man/plot.grid.tvp.Rd |only man/plot.reg.Rd |only man/plot.tvp.Rd |only man/print.altf.Rd |only man/print.altf2.Rd |only man/print.altf3.Rd |only man/print.altf4.Rd |only man/print.dma.Rd | 3 man/print.grid.dma.Rd | 2 man/print.grid.roll.reg.Rd |only man/print.grid.tvp.Rd |only man/print.reg.Rd |only man/print.tvp.Rd |only man/rec.reg.Rd |only man/roll.reg.Rd | 25 - man/stest.Rd |only man/summary.altf.Rd |only man/summary.altf2.Rd |only man/summary.altf3.Rd |only man/summary.altf4.Rd |only man/summary.dma.Rd | 3 man/summary.grid.dma.Rd | 4 man/summary.grid.roll.reg.Rd |only man/summary.grid.tvp.Rd |only man/summary.reg.Rd |only man/summary.tvp.Rd |only man/trends.Rd | 2 man/tvp.Rd | 25 - 101 files changed, 1601 insertions(+), 798 deletions(-)
Title: Tools for Teaching and Learning OLS Regression
Description: Tools for teaching and learning ordinary least squares regression. Includes
comprehensive regression output, heteroskedasticity tests, collinearity diagnostics,
residual diagnostics, measures of influence, model fit assessment and variable selection procedures.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Diff between olsrr versions 0.2.0 dated 2017-06-05 and 0.3.0 dated 2017-08-31
DESCRIPTION | 8 MD5 | 206 ++++++------ NAMESPACE | 3 NEWS.md | 25 + R/RcppExports.R | 2 R/ols-added-variable-plot.R | 30 + R/ols-all-possible-regression.R | 52 +-- R/ols-bartlett-test.R | 4 R/ols-best-subsets-regression.R | 17 R/ols-breusch-pagan-test.R | 4 R/ols-collinearity-diagnostics.R | 7 R/ols-cooks-d-barplot.R | 2 R/ols-cooks-d-chart.R | 2 R/ols-f-test.R | 4 R/ols-influence-measures.R | 3 R/ols-information-criteria.R | 4 R/ols-regress_compute.R | 48 +- R/ols-rstud-vs-lev-plot.R | 2 R/ols-score-test.R | 4 R/ols-stepaic-backward-regression.R | 56 +-- R/ols-stepaic-both-regression.R | 10 R/ols-stepaic-forward-regression.R | 36 +- R/output.R | 193 ++++++----- R/utils.R | 73 ++-- README.md | 3 build/vignette.rds |binary inst/doc/heteroskedasticity.html | 188 +++++------ inst/doc/influence_measures.html | 24 - inst/doc/intro.html | 86 ++--- inst/doc/regression_diagnostics.html | 94 +++-- inst/doc/residual_diagnostics.html | 10 inst/doc/variable_selection.html | 598 +++++++++++++++++------------------ man/cement.Rd | 1 man/fitness.Rd | 1 man/hsb.Rd | 1 man/ols_aic.Rd | 3 man/ols_all_subset.Rd | 1 man/ols_apc.Rd | 5 man/ols_avplots.Rd | 1 man/ols_bartlett_test.Rd | 3 man/ols_best_subset.Rd | 1 man/ols_bp_test.Rd | 1 man/ols_coll_diag.Rd | 3 man/ols_cooksd_barplot.Rd | 1 man/ols_cooksd_chart.Rd | 1 man/ols_corr_test.Rd | 1 man/ols_correlations.Rd | 1 man/ols_dfbetas_panel.Rd | 1 man/ols_dffits_plot.Rd | 1 man/ols_diagnostic_panel.Rd | 1 man/ols_dsrvsp_plot.Rd | 1 man/ols_f_test.Rd | 1 man/ols_fpe.Rd | 1 man/ols_hadi.Rd | 1 man/ols_hadi_plot.Rd | 1 man/ols_hsp.Rd | 1 man/ols_leverage.Rd | 1 man/ols_mallows_cp.Rd | 5 man/ols_msep.Rd | 1 man/ols_norm_test.Rd | 1 man/ols_ovsp_plot.Rd | 1 man/ols_potrsd_plot.Rd | 1 man/ols_pred_rsq.Rd | 1 man/ols_press.Rd | 1 man/ols_pure_error_anova.Rd | 1 man/ols_reg_line.Rd | 1 man/ols_regress.Rd | 1 man/ols_resp_viz.Rd | 1 man/ols_rfs_plot.Rd | 3 man/ols_rpc_plot.Rd | 1 man/ols_rsd_boxplot.Rd | 1 man/ols_rsd_hist.Rd | 1 man/ols_rsd_qqplot.Rd | 1 man/ols_rsdlev_plot.Rd | 1 man/ols_rvsp_plot.Rd | 1 man/ols_rvsr_plot.Rd | 1 man/ols_sbc.Rd | 3 man/ols_sbic.Rd | 7 man/ols_score_test.Rd | 1 man/ols_srsd_chart.Rd | 1 man/ols_srsd_plot.Rd | 1 man/ols_step_backward.Rd | 1 man/ols_step_forward.Rd | 1 man/ols_stepaic_backward.Rd | 1 man/ols_stepaic_both.Rd | 1 man/ols_stepaic_forward.Rd | 1 man/ols_stepwise.Rd | 1 man/olsrr.Rd | 1 man/rivers.Rd | 1 man/rvsr_plot_shiny.Rd | 1 man/surgical.Rd | 1 tests/testthat/test-all-possible.R | 12 tests/testthat/test-bartlett.R | 30 - tests/testthat/test-best-subsets.R | 4 tests/testthat/test-breusch-pagan.R | 48 +- tests/testthat/test-collindiag.R | 21 - tests/testthat/test-correlations.R | 2 tests/testthat/test-f.R | 16 tests/testthat/test-info.R | 24 - tests/testthat/test-loftest.R | 20 - tests/testthat/test-regress.R | 14 tests/testthat/test-score.R | 16 tests/testthat/test-stepaic-b.R | 4 tests/testthat/test-utility.R | 2 104 files changed, 1057 insertions(+), 1037 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-08-30 0.5