Title: Applied Latent Semantic Analysis (LSA) Functions
Description: Provides functions that allow for convenient working
with latent semantic analysis (LSA) and other vector space models
of semantics. For actually building a vector semantic space, use
the package 'lsa' or other specialized software. Downloadable
semantic spaces can be found here: <https://sites.google.com/site/fritzgntr/software-resources>
A description of the LSA algorithm can be found in Landauer and Dumais (1997)
<doi:10.1037/0033-295X.104.2.211> .
Author: Fritz Guenther [aut, cre]
Maintainer: Fritz Guenther <fritz.guenther@uni-tuebingen.de>
Diff between LSAfun versions 0.5.2 dated 2018-03-29 and 0.5.3 dated 2018-11-27
ChangeLog | 10 ++++++++++ DESCRIPTION | 19 +++++++++++-------- MD5 | 34 +++++++++++++++++----------------- R/Cosine.r | 3 ++- R/MultipleChoice.r | 3 ++- R/Predication.r | 2 +- R/choose.target.r | 2 +- R/coherence.r | 2 +- R/costring.r | 2 +- R/distance.r | 3 ++- R/genericSummary.R | 2 +- R/modulo.r | 2 +- R/multicostring.r | 2 +- R/neighbors.r | 2 +- R/normalize.r | 2 +- R/pos.r | 2 +- man/LSAfun-package.Rd | 5 +++-- man/MultipleChoice.Rd | 2 +- 18 files changed, 58 insertions(+), 41 deletions(-)
Title: Predicting Categorical and Continuous Outcomes Using One in Ten
Rule
Description: Predicts categorical or continuous outcomes while concentrating on four key points. These are Cross-validation, Accuracy, Regression and Rule of Ten or "one in ten rule" (CARRoT). It performs the cross-validation specified number of times by partitioning the input into training and test set and fitting linear/multinomial/binary regression models to the training set. All regression models satisfying a rule of ten events per variable are fitted and the ones with the best predictive power are given as an output. Best predictive power is understood as highest accuracy in case of binary/multinomial outcomes, smallest absolute and relative errors in case of continuous outcomes. For binary case there is also an option of finding a regression model which gives the highest AUROC (Area Under Receiver Operating Curve) value. The option of parallel toolbox is also available. Methods are described in Peduzzi et al. (1996) <doi:10.1016/S0895-4356(96)00236-3> and Rhemtulla et al. (2012) <doi:10.1037/a0029315>.
Author: Alina Bazarova [aut, cre],
Marko Raseta [aut]
Maintainer: Alina Bazarova <a.bazarova@bham.ac.uk>
Diff between CARRoT versions 1.0.0 dated 2018-06-30 and 1.5.0 dated 2018-11-27
DESCRIPTION | 8 MD5 | 24 +- NAMESPACE | 2 R/carrot_functions.R | 382 ++++++++++++++++++++++++++++------------------ build/partial.rdb |binary man/compute_max_length.Rd | 4 man/cross_val.Rd | 9 - man/cub.Rd |only man/find_sub.Rd | 4 man/get_indices.Rd | 4 man/quadr.Rd |only man/regr_ind.Rd | 11 - man/regr_whole.Rd | 11 - man/sum_weights_sub.Rd | 4 14 files changed, 288 insertions(+), 175 deletions(-)
Title: Analysis of Variance and Other Important Complementary Analyses
Description: Perform analysis of variance and other important complementary
analyses. The functions are easy to use. Performs analysis in various
designs, with balanced and unbalanced data.
Author: Emmanuel Arnhold
Maintainer: Emmanuel Arnhold <emmanuelarnhold@yahoo.com.br>
Diff between easyanova versions 5.0 dated 2017-11-16 and 6.0 dated 2018-11-27
DESCRIPTION | 10 MD5 | 12 NAMESPACE | 12 R/ea1.R | 28 + R/ea2.R | 708 +++++++++-------------------------------------- man/ea2.Rd | 24 - man/easyanova-package.Rd | 4 7 files changed, 183 insertions(+), 615 deletions(-)
Title: Analysis of Codon Data under Stationarity using a Bayesian
Framework
Description: Is a collection of models to analyze genome scale codon
data using a Bayesian framework. Provides visualization
routines and checkpointing for model fittings. Currently
published models to analyze gene data for selection on codon
usage based on Ribosome Overhead Cost (ROC) are: ROC (Gilchrist
et al. (2015) <doi:10.1093/gbe/evv087>), and ROC with phi
(Wallace & Drummond (2013) <doi:10.1093/molbev/mst051>). In
addition 'AnaCoDa' contains three currently unpublished models.
The FONSE (First order approximation On NonSense Error) model
analyzes gene data for selection on codon usage against of
nonsense error rates. The PA (PAusing time) and PANSE (PAusing
time + NonSense Error) models use ribosome footprinting data to
analyze estimate ribosome pausing times with and without
nonsense error rate from ribosome footprinting data.
Author: Cedric Landerer [aut, cre],
Gabriel Hanas [ctb],
Jeremy Rogers [ctb],
Alex Cope [ctb],
Denizhan Pak [ctb]
Maintainer: Cedric Landerer <cedric.landerer@gmail.com>
Diff between AnaCoDa versions 0.1.2 dated 2018-09-14 and 0.1.2.1 dated 2018-11-27
AnaCoDa-0.1.2.1/AnaCoDa/DESCRIPTION | 8 +++---- AnaCoDa-0.1.2.1/AnaCoDa/MD5 | 26 +++++++++-------------- AnaCoDa-0.1.2.1/AnaCoDa/R/plotParameterObject.R | 2 - AnaCoDa-0.1.2.1/AnaCoDa/configure | 8 +++---- AnaCoDa-0.1.2.1/AnaCoDa/configure.ac | 8 +++---- AnaCoDa-0.1.2.1/AnaCoDa/src/CovarianceMatrix.cpp | 6 ++--- AnaCoDa-0.1.2.1/AnaCoDa/src/FONSEModel.cpp | 2 - AnaCoDa-0.1.2.1/AnaCoDa/src/MCMCAlgorithm.cpp | 11 ++------- AnaCoDa-0.1.2.1/AnaCoDa/src/PAModel.cpp | 4 +-- AnaCoDa-0.1.2.1/AnaCoDa/src/PANSEModel.cpp | 3 +- AnaCoDa-0.1.2.1/AnaCoDa/src/PANSEParameter.cpp | 2 - AnaCoDa-0.1.2.1/AnaCoDa/src/PAParameter.cpp | 11 --------- AnaCoDa-0.1.2/AnaCoDa/src/Default |only 13 files changed, 35 insertions(+), 56 deletions(-)
Title: Estimation, Comparison and Selection of Transformations
Description: Estimation, selection and comparison of several families of
transformations. The families of transformations included in the package are
the following: Bickel-Doksum (Bickel and Doksum 1981 <doi:10.2307/2287831>),
Box-Cox, Dual (Yang 2006 <doi:10.1016/j.econlet.2006.01.011>),
Glog (Durbin et al. 2002 <doi:10.1093/bioinformatics/18.suppl_1.S105>),
gpower (Kelmansky et al. 2013 <doi:10.1515/sagmb-2012-0030>),
Log, Log-shift opt (Feng et al. 2016 <doi:10.1002/sta4.104>),
Manly, modulus (John and Draper 1980 <doi:10.2307/2986305>),
Neglog (Whittaker et al. 2005 <doi:10.1111/j.1467-9876.2005.00520.x>),
Reciprocal and Yeo-Johnson. The package simplifies to
compare linear models with untransformed and transformed dependent variable
as well as linear models where the dependent variable is transformed with
different transformations. Furthermore, the package employs maximum likelihood
approaches, moments optimization and divergence minimization to estimate the optimal
transformation parameter.
Author: Lily Medina [aut],
Piedad Castro [aut],
Ann-Kristin Kreutzmann [aut, cre],
Natalia Rojas-Perilla [aut]
Maintainer: Ann-Kristin Kreutzmann <ann-kristin.kreutzmann@fu-berlin.de>
Diff between trafo versions 1.0.0 dated 2018-07-30 and 1.0.1 dated 2018-11-27
trafo-1.0.0/trafo/R/Neglog.R |only trafo-1.0.0/trafo/R/Reciprocal.R |only trafo-1.0.0/trafo/README.md |only trafo-1.0.1/trafo/DESCRIPTION | 14 +++---- trafo-1.0.1/trafo/MD5 | 36 ++++++++++---------- trafo-1.0.1/trafo/NEWS.md |only trafo-1.0.1/trafo/R/neglog.R |only trafo-1.0.1/trafo/R/reciprocal.R |only trafo-1.0.1/trafo/build/vignette.rds |binary trafo-1.0.1/trafo/inst/doc/vignette_trafo.pdf |binary trafo-1.0.1/trafo/inst/doc/vignette_trafo.pdf.asis | 2 - trafo-1.0.1/trafo/man/boxcox.Rd | 4 +- trafo-1.0.1/trafo/man/boxcoxshift.Rd | 4 +- trafo-1.0.1/trafo/man/gpower.Rd | 4 +- trafo-1.0.1/trafo/man/logshiftopt.Rd | 4 +- trafo-1.0.1/trafo/man/manly.Rd | 4 +- trafo-1.0.1/trafo/man/modulus.Rd | 4 +- trafo-1.0.1/trafo/man/neglog.Rd | 2 - trafo-1.0.1/trafo/man/reciprocal.Rd | 2 - trafo-1.0.1/trafo/man/sqrtshift.Rd | 4 +- trafo-1.0.1/trafo/man/yeojohnson.Rd | 4 +- trafo-1.0.1/trafo/vignettes/vignette_trafo.pdf.asis | 2 - 22 files changed, 45 insertions(+), 45 deletions(-)
Title: Fits Neural Networks to Learn About Backpropagation
Description: Can fit neural networks with up to two hidden layer and two different error functions. Also able to handle a weight decay. But just able to compute one output neuron and very slow.
Author: Georg Steinbuss
Maintainer: Georg Steinbuss <gspam@steinbuss.de>
Diff between TeachNet versions 0.7 dated 2014-01-06 and 0.7.1 dated 2018-11-27
DESCRIPTION | 10 +++++----- MD5 | 27 ++++++++++++++------------- NAMESPACE | 5 ++++- NEWS.md |only man/TeachNet.Rd | 2 +- man/accuracy.me.Rd | 4 ++-- man/computeGrad1.Rd | 4 ++-- man/computeGrad2.Rd | 4 ++-- man/find.Threshold.Rd | 2 +- man/fitTeachNet1.Rd | 8 ++++---- man/fitTeachNet2.Rd | 8 ++++---- man/is.acct.Rd | 2 +- man/predict_Weights.Rd | 2 +- man/predict_Weights2.Rd | 2 +- man/squaredError.Rd | 2 +- 15 files changed, 43 insertions(+), 39 deletions(-)
Title: Regression with a Large Number of Potential Explanatory
Variables
Description: Software for performing the reduction, exploratory and model selection phases of the procedure proposed by Cox, D.R. and Battey, H.S. (2017) <doi:10.1073/pnas.1703764114> for sparse regression when the number of potential explanatory variables far exceeds the sample size. The software supports linear regression, likelihood-based fitting of generalized linear regression models and the proportional hazards model fitted by partial likelihood.
Author: H. H. Hoeltgebaum
Maintainer: H. H. Hoeltgebaum <hh3015@ic.ac.uk>
Diff between HCmodelSets versions 0.1.1 dated 2018-07-05 and 0.2.1 dated 2018-11-27
DESCRIPTION | 10 ++- MD5 | 22 +++---- NAMESPACE | 1 R/DGP.R | 10 +-- R/Exploratory.Phase.R | 31 +++++----- R/ModelSelection.Phase.R | 128 +++++++++++++++++++++++++++++--------------- R/Reduction.Phase.R | 74 +++++++++++++++++-------- README.md | 12 +++- man/DGP.Rd | 4 - man/Exploratory.Phase.Rd | 9 +-- man/ModelSelection.Phase.Rd | 7 +- man/Reduction.Phase.Rd | 15 +++-- 12 files changed, 209 insertions(+), 114 deletions(-)
Title: Predicting Economic Variables using Dynamic Factor Models
Description: It contains the tools to implement dynamic factor models to forecast economic variables. The user will be able to construct pseudo real time vintages, use information criteria for determining the number of factors and shocks, estimate the model, and visualize results among other things.
Author: Daiane Marcolino de Mattos [aut, cre],
Pedro Costa Ferreira [aut],
Serge de Valk [aut],
Guilherme Branco Gomes [aut]
Maintainer: Daiane Marcolino de Mattos <daiane.mattos@fgv.br>
Diff between nowcasting versions 0.1.3 dated 2018-04-25 and 1.0.0 dated 2018-11-27
DESCRIPTION | 26 - MD5 | 63 +- NAMESPACE | 86 +-- R/BRGDP.R | 16 R/Bpanel.R | 281 +++++----- R/ICfactors.R |only R/ICshocks.R |only R/PRTDB.R | 66 +- R/RTDB.R | 3 R/base_extraction.R | 158 +++--- R/impact.R |only R/method_2s.R | 1260 ++++++++++++++++++++++++------------------------- R/method_EM.r | 7 R/month2qtr.R | 71 +- R/nowcast.R | 388 +++++++-------- R/nowcast.plot.R | 283 +++++------ R/nowcasting.R | 7 R/qtr2month.r | 69 +- data/BRGDP.rda |binary data/USGDP.rda |binary data/USGDPshort.rda |binary man/BRGDP.Rd | 40 - man/Bpanel.Rd | 114 ++-- man/ICfactors.Rd |only man/ICshocks.Rd |only man/PRTDB.Rd | 50 - man/RTDB.Rd | 62 +- man/USGDP.Rd | 50 - man/USGDPshort.Rd | 50 - man/base_extraction.Rd | 84 +-- man/month2qtr.Rd | 53 +- man/nowcast.Rd | 174 +++--- man/nowcast.plot.Rd | 82 +-- man/nowcasting.Rd | 67 +- man/qtr2month.Rd | 50 + 35 files changed, 1895 insertions(+), 1765 deletions(-)
Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich,
some of which were ported from S-plus in the 1990's.
For graphics, have pretty (Log-scale) axes, an enhanced Tukey-Anscombe
plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()',
pretty arrows, etc.
For robustness, have a robust F test and robust range().
For system support, notably on Linux, provides 'Sys.*()' functions with
more access to system and CPU information.
Finally, miscellaneous utilities such as simple efficient prime numbers,
integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>),
Werner Stahel [ctb] (Functions: compresid2way(), f.robftest(), last(),
p.scales(), p.dnorm()),
Andreas Ruckstuhl [ctb] (Functions: p.arrows(), p.profileTraces(),
p.res.2x()),
Christian Keller [ctb] (Functions: histBxp(), p.tachoPlot()),
Kjetil Halvorsen [ctb] (Functions: KSd(), ecdf.ksCI()),
Alain Hauser [ctb] (Functions: cairoSwd(), is.whole(),
toLatex.numeric()*),
Christoph Buser [ctb] (to function Duplicated()),
Lorenz Gygax [ctb] (to function p.res.2fact()),
Bill Venables [ctb] (Functions: empty.dimnames(), primes()),
Tony Plate [ctb] (to inv.seq()),
Isabelle Flückiger [ctb],
Marcel Wolbers [ctb],
Markus Keller [ctb],
Sandrine Dudoit [ctb],
Jane Fridlyand [ctb],
Greg Snow [ctb] (to loessDemo()),
Henrik Aa. Nielsen [ctb] (to loessDemo()),
Vincent Carey [ctb],
Ben Bolker [ctb],
Philippe Grosjean [ctb],
Frédéric Ibanez [ctb],
Caterina Savi [ctb],
Charles Geyer [ctb],
Jens Oehlschlägel [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Diff between sfsmisc versions 1.1-2 dated 2018-03-05 and 1.1-3 dated 2018-11-27
DESCRIPTION | 13 +++++++------ MD5 | 21 +++++++++++---------- R/TA.plot.R | 11 ++++------- R/mat2tex.R | 4 ++-- R/misc-goodies.R | 15 +++++++-------- R/prettylab.R | 26 ++++++++++++-------------- R/zzz.R | 10 +++++++++- README.md | 3 ++- inst/NEWS.Rd | 20 +++++++++++++++++++- man/pretty10exp.Rd | 9 ++++++--- man/read.org.table.Rd | 10 ++++++++-- tests/eaxis.R |only 12 files changed, 87 insertions(+), 55 deletions(-)
Title: Pseudo-Ranks
Description: Efficient calculation of pseudo-ranks and (pseudo)-rank based test statistics. In case of equal sample sizes, pseudo-ranks and mid-ranks are equal. When used for inference mid-ranks may lead to paradoxical results. Pseudo-ranks are in general not affected by such a problem. For details, see Brunner, E., Bathke A. C. and Konietschke, F: Rank- and Pseudo-Rank Procedures in Factorial Designs - Using R and SAS, Springer Verlag, to appear.
Author: Martin Happ [aut, cre] (<https://orcid.org/0000-0003-0009-2665>),
Georg Zimmermann [aut],
Arne C. Bathke [aut],
Edgar Brunner [aut]
Maintainer: Martin Happ <martin.happ@aon.at>
Diff between pseudorank versions 0.3.7 dated 2018-10-04 and 0.3.8 dated 2018-11-27
pseudorank-0.3.7/pseudorank/src/Makevars.in |only pseudorank-0.3.8/pseudorank/DESCRIPTION | 10 ++++---- pseudorank-0.3.8/pseudorank/MD5 | 12 +++++----- pseudorank-0.3.8/pseudorank/man/hettmansperger_norton_test.Rd | 6 ++--- pseudorank-0.3.8/pseudorank/man/hettmansperger_norton_test_internal.Rd | 4 +-- pseudorank-0.3.8/pseudorank/man/kepner_robinson_test.Rd | 4 +-- pseudorank-0.3.8/pseudorank/man/pseudorank.Rd | 4 +-- pseudorank-0.3.8/pseudorank/src/Makevars |only 8 files changed, 20 insertions(+), 20 deletions(-)
Title: 'Jupyter' Display Machinery
Description: An interface to the rich display capabilities of 'Jupyter' front-ends (e.g. 'Jupyter Notebook') <https://jupyter.org>.
Designed to be used from a running 'IRkernel' session <https://irkernel.github.io>.
Author: Thomas Kluyver [aut, cph],
Philipp Angerer [aut, cph, cre]
(<https://orcid.org/0000-0002-0369-2888>),
Jan Schulz [aut, cph]
Maintainer: Philipp Angerer <phil.angerer@gmail.com>
Diff between IRdisplay versions 0.6.1 dated 2018-11-11 and 0.6.3 dated 2018-11-27
DESCRIPTION | 13 +++++++------ MD5 | 7 ++++--- R/display.r | 13 ++++++++++--- README.md |only man/display.Rd | 7 ++++--- 5 files changed, 25 insertions(+), 15 deletions(-)
Title: Statistical Analysis for Environmental Data
Description: Several tools are provided for the statistical analysis of environmental data.
Author: Peter Filzmoser
Maintainer: Peter Filzmoser <P.Filzmoser@tuwien.ac.at>
Diff between StatDA versions 1.6.9 dated 2015-04-27 and 1.7 dated 2018-11-27
DESCRIPTION | 12 MD5 | 204 +++++++-------- NAMESPACE | 65 +++++ R/boxes.R | 2 R/trees.R | 24 - R/treesold.R | 24 - build/vignette.rds |binary data/AuNEW.rda |binary data/AuOLD.rda |binary data/CHorANADUP.rda |binary data/CHorFieldDUP.rda |binary data/CHorSTANDARD.rda |binary data/bhorizon.rda |binary data/bordersKola.rda |binary data/chorizon.rda |binary data/kola.background.rda |binary data/monch.rda |binary data/moss.rda |binary data/nizap.rda |binary data/ohorizon.rda |binary data/res.eyefit.As_C.rda |binary data/res.eyefit.As_C_m.rda |binary data/res.eyefit.AuNEW.rda |binary data/res.eyefit.Ca_C.rda |binary data/res.eyefit.Ca_O.rda |binary data/res.eyefit.Hg_O.rda |binary data/res.eyefit.Pb_O1.rda |binary data/res.eyefit.Pb_O2.rda |binary data/timetrend.rda |binary data/topsoil.rda |binary man/AuNEW.Rd | 2 man/AuOLD.Rd | 2 man/CHorANADUP.Rd | 442 +++++++++++++++++----------------- man/CHorFieldDUP.Rd | 542 +++++++++++++++++++++--------------------- man/CHorSTANDARD.Rd | 252 +++++++++---------- man/Component-class.Rd | 60 ++-- man/CorCompare.Rd | 80 +++--- man/CorGroups.Rd | 98 +++---- man/KrigeLegend.Rd | 134 +++++----- man/Northarrow.Rd | 62 ++-- man/RobCor.plot.Rd | 78 +++--- man/SmoothLegend.Rd | 134 +++++----- man/SymbLegend.Rd | 114 ++++---- man/UComponent-class.Rd | 36 +- man/arw.Rd | 96 +++---- man/bhorizon.Rd | 222 ++++++++--------- man/bordersKola.Rd | 2 man/boxes.Rd | 160 ++++++------ man/boxplotlegend.Rd | 88 +++--- man/boxplotlog.Rd | 106 ++++---- man/boxplotperc.Rd | 104 ++++---- man/branch-class.Rd | 78 +++--- man/bubbleFIN.Rd | 96 +++---- man/chorizon.Rd | 290 +++++++++++----------- man/concarea.Rd | 120 ++++----- man/concareaExampleKola.Rd | 124 ++++----- man/cor.sign.Rd | 66 ++--- man/do.ellipses.Rd | 52 ++-- man/edaplot.Rd | 104 ++++---- man/edaplotlog.Rd | 112 ++++---- man/factanal.fit.principal.Rd | 64 ++-- man/kola.background.Rd | 88 +++--- man/loadplot.Rd | 74 ++--- man/monch.Rd | 2 man/moss.Rd | 184 +++++++------- man/nizap.Rd | 2 man/ohorizon.Rd | 238 +++++++++--------- man/pfa.Rd | 108 ++++---- man/plotbg.Rd | 72 ++--- man/plotelement.Rd | 52 ++-- man/plotellipse.Rd | 78 +++--- man/plotmvoutlier.Rd | 106 ++++---- man/plotuniout.Rd | 78 +++--- man/plotvario.Rd | 88 +++--- man/polys.Rd | 116 ++++---- man/ppplot.das.Rd | 60 ++-- man/qpplot.das.Rd | 92 +++---- man/qqplot.das.Rd | 88 +++--- man/res.eyefit.As_C.Rd | 2 man/res.eyefit.As_C_m.Rd | 2 man/res.eyefit.AuNEW.Rd | 2 man/res.eyefit.Ca_C.Rd | 2 man/res.eyefit.Ca_O.Rd | 2 man/res.eyefit.Hg_O.Rd | 2 man/res.eyefit.Pb_O1.Rd | 2 man/res.eyefit.Pb_O2.Rd | 2 man/rg.boxplot.Rd | 70 ++--- man/rg.mva.Rd | 118 ++++----- man/rg.mvalloc.Rd | 108 ++++---- man/rg.remove.na.Rd | 58 ++-- man/rg.robmva.Rd | 130 +++++----- man/rg.wtdsums.Rd | 78 +++--- man/roundpretty.Rd | 58 ++-- man/roundpretty.sub.Rd | 50 +-- man/scalebar.Rd | 52 ++-- man/scatter3dPETER.Rd | 130 +++++----- man/suns.Rd | 114 ++++---- man/ternary.Rd | 56 ++-- man/timetrend.Rd | 156 ++++++------ man/topsoil.Rd | 158 ++++++------ man/tree.Rd | 134 +++++----- man/varcomp.Rd | 74 ++--- man/varioCalc.Rd | 74 ++--- 103 files changed, 3738 insertions(+), 3673 deletions(-)
Title: Process Map Token Replay Animation
Description: Token replay animation for process maps created with
'processmapR' by using SVG animations ('SMIL') and the 'htmlwidget' package.
Author: Felix Mannhardt [aut, cre],
Gert Janssenswillen [ctb]
Maintainer: Felix Mannhardt <felix.mannhardt@sintef.no>
Diff between processanimateR versions 0.3.1 dated 2018-11-02 and 1.0.0 dated 2018-11-27
processanimateR-0.3.1/processanimateR/R/add_token_color.R |only processanimateR-0.3.1/processanimateR/R/add_token_size.R |only processanimateR-0.3.1/processanimateR/inst/htmlwidgets/lib/d3-legend |only processanimateR-0.3.1/processanimateR/inst/htmlwidgets/lib/d3-selection-multi |only processanimateR-0.3.1/processanimateR/inst/htmlwidgets/lib/d3-simple-slider |only processanimateR-0.3.1/processanimateR/inst/htmlwidgets/lib/d3/LICENSE |only processanimateR-0.3.1/processanimateR/inst/htmlwidgets/lib/d3/d3.min.js |only processanimateR-0.3.1/processanimateR/inst/htmlwidgets/lib/svg-pan-zoom/README.md |only processanimateR-0.3.1/processanimateR/inst/htmlwidgets/lib/svg-pan-zoom/svg-pan-zoom.d.ts |only processanimateR-0.3.1/processanimateR/inst/htmlwidgets/lib/svg-pan-zoom/svg-pan-zoom.js |only processanimateR-0.3.1/processanimateR/man/add_token_color.Rd |only processanimateR-0.3.1/processanimateR/man/add_token_size.Rd |only processanimateR-1.0.0/processanimateR/DESCRIPTION | 16 processanimateR-1.0.0/processanimateR/LICENSE | 2 processanimateR-1.0.0/processanimateR/MD5 | 107 - processanimateR-1.0.0/processanimateR/NAMESPACE | 11 processanimateR-1.0.0/processanimateR/NEWS.md |only processanimateR-1.0.0/processanimateR/R/data.R |only processanimateR-1.0.0/processanimateR/R/decorations.R |only processanimateR-1.0.0/processanimateR/R/icons.R |only processanimateR-1.0.0/processanimateR/R/processanimateR.R | 329 +--- processanimateR-1.0.0/processanimateR/R/renderer.R |only processanimateR-1.0.0/processanimateR/R/scale.R |only processanimateR-1.0.0/processanimateR/R/token_aes.R |only processanimateR-1.0.0/processanimateR/README.md | 88 - processanimateR-1.0.0/processanimateR/build/vignette.rds |binary processanimateR-1.0.0/processanimateR/data |only processanimateR-1.0.0/processanimateR/inst/doc/use-external-data-to-change-tokens.R |only processanimateR-1.0.0/processanimateR/inst/doc/use-external-data-to-change-tokens.Rmd |only processanimateR-1.0.0/processanimateR/inst/doc/use-external-data-to-change-tokens.html |only processanimateR-1.0.0/processanimateR/inst/doc/use-shiny-selections.R | 14 processanimateR-1.0.0/processanimateR/inst/doc/use-shiny-selections.Rmd | 14 processanimateR-1.0.0/processanimateR/inst/doc/use-shiny-selections.html | 110 - processanimateR-1.0.0/processanimateR/inst/doc/use-token_scales.R |only processanimateR-1.0.0/processanimateR/inst/doc/use-token_scales.Rmd |only processanimateR-1.0.0/processanimateR/inst/doc/use-token_scales.html |only processanimateR-1.0.0/processanimateR/inst/doc/use-with-shiny.R | 49 processanimateR-1.0.0/processanimateR/inst/doc/use-with-shiny.Rmd | 49 processanimateR-1.0.0/processanimateR/inst/doc/use-with-shiny.html | 157 -- processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/d3/LICENSE.D3 |only processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/d3/LICENSE.D3-SIMPLE-SLIDER |only processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/d3/d3-custom.min.js |only processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/d3/index.js |only processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/d3/package-lock.json |only processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/d3/package.json |only processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/d3/rollup.config.js |only processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/leaflet |only processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/leaflet-d3-svg-overlay |only processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/modules |only processanimateR-1.0.0/processanimateR/inst/htmlwidgets/lib/viz/full.render.js | 10 processanimateR-1.0.0/processanimateR/inst/htmlwidgets/processanimateR.js | 756 ---------- processanimateR-1.0.0/processanimateR/inst/htmlwidgets/processanimateR.yaml | 50 processanimateR-1.0.0/processanimateR/man/activity_select_decoration.Rd |only processanimateR-1.0.0/processanimateR/man/animate_process.Rd | 135 - processanimateR-1.0.0/processanimateR/man/attribution_osm.Rd |only processanimateR-1.0.0/processanimateR/man/example_log.Rd |only processanimateR-1.0.0/processanimateR/man/figures/processanimateR-banner.png |binary processanimateR-1.0.0/processanimateR/man/icon_circle.Rd |only processanimateR-1.0.0/processanimateR/man/icon_marker.Rd |only processanimateR-1.0.0/processanimateR/man/renderer_graphviz.Rd |only processanimateR-1.0.0/processanimateR/man/renderer_leaflet.Rd |only processanimateR-1.0.0/processanimateR/man/token_aes.Rd |only processanimateR-1.0.0/processanimateR/man/token_scale.Rd |only processanimateR-1.0.0/processanimateR/man/token_select_decoration.Rd |only processanimateR-1.0.0/processanimateR/vignettes/use-external-data-to-change-tokens.Rmd |only processanimateR-1.0.0/processanimateR/vignettes/use-shiny-selections.Rmd | 14 processanimateR-1.0.0/processanimateR/vignettes/use-token_scales.Rmd |only processanimateR-1.0.0/processanimateR/vignettes/use-with-shiny.Rmd | 49 68 files changed, 604 insertions(+), 1356 deletions(-)
More information about processanimateR at CRAN
Permanent link
Title: Serializable Representations
Description: String and binary representations of objects for several formats /
mime types.
Author: Philipp Angerer [aut, cre],
Thomas Kluyver [aut],
Jan Schulz [aut],
abielr [ctb],
Denilson Figueiredo de Sa [ctb],
Jim Hester [ctb],
karldw [ctb],
Dave Foster [ctb],
Carson Sievert [ctb]
Maintainer: Philipp Angerer <phil.angerer@gmail.com>
Diff between repr versions 0.17 dated 2018-11-07 and 0.18 dated 2018-11-27
DESCRIPTION | 13 +- MD5 | 16 ++ NAMESPACE | 30 +++++ R/generics.r | 54 +++++++++- R/repr_plotly.r |only R/repr_spatial.r |only R/repr_vega.r |only man/repr-generics.Rd | 30 +++++ man/repr_geojson.-times.Rd |only man/repr_plotly1.-times.Rd |only man/repr_vega-open-paren-4-slash-lite2-close-paren-.-times.Rd |only man/times-2repr.Rd | 2 12 files changed, 130 insertions(+), 15 deletions(-)
Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') to store
and manage temporal data in a data-centric format, which is
built on top of the 'tibble'. The 'tsibble' aims at easily
manipulating and analysing temporal data, including counting and
filling time gaps, aggregate over calendar periods, performing rolling
window calculations, and etc.
Author: Earo Wang [aut, cre] (<https://orcid.org/0000-0001-6448-5260>),
Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>),
Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>),
Mitchell O'Hara-Wild [ctb]
Maintainer: Earo Wang <earo.wang@gmail.com>
Diff between tsibble versions 0.5.3 dated 2018-10-10 and 0.6.0 dated 2018-11-27
tsibble-0.5.3/tsibble/R/append.R |only tsibble-0.5.3/tsibble/R/fill-na.R |only tsibble-0.5.3/tsibble/R/parse-key.R |only tsibble-0.5.3/tsibble/R/split-by.R |only tsibble-0.5.3/tsibble/man/append-row.Rd |only tsibble-0.5.3/tsibble/man/case_na.Rd |only tsibble-0.5.3/tsibble/man/fill-na.Rd |only tsibble-0.5.3/tsibble/man/find_duplicates.Rd |only tsibble-0.5.3/tsibble/man/key_sum.Rd |only tsibble-0.5.3/tsibble/man/key_update.Rd |only tsibble-0.5.3/tsibble/man/split-by.Rd |only tsibble-0.6.0/tsibble/DESCRIPTION | 65 +- tsibble-0.6.0/tsibble/MD5 | 208 ++++--- tsibble-0.6.0/tsibble/NAMESPACE | 63 +- tsibble-0.6.0/tsibble/NEWS.md | 43 + tsibble-0.6.0/tsibble/R/RcppExports.R | 4 tsibble-0.6.0/tsibble/R/as-tsibble.R | 417 +++++++-------- tsibble-0.6.0/tsibble/R/bind.R |only tsibble-0.6.0/tsibble/R/data.R | 9 tsibble-0.6.0/tsibble/R/deprecated.R |only tsibble-0.6.0/tsibble/R/dplyr-join.R | 9 tsibble-0.6.0/tsibble/R/dplyr-verbs.R | 157 +++-- tsibble-0.6.0/tsibble/R/error.R | 17 tsibble-0.6.0/tsibble/R/filter-index.R |only tsibble-0.6.0/tsibble/R/format.R | 35 - 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tsibble-0.6.0/tsibble/man/as-tsibble.Rd | 31 - tsibble-0.6.0/tsibble/man/build_tsibble.Rd | 39 - tsibble-0.6.0/tsibble/man/build_tsibble_meta.Rd |only tsibble-0.6.0/tsibble/man/count-gaps.Rd |only tsibble-0.6.0/tsibble/man/deprecated.Rd |only tsibble-0.6.0/tsibble/man/duplicated.Rd |only tsibble-0.6.0/tsibble/man/fill-gaps.Rd |only tsibble-0.6.0/tsibble/man/filter_index.Rd |only tsibble-0.6.0/tsibble/man/gaps.Rd | 60 -- tsibble-0.6.0/tsibble/man/group_by_key.Rd | 17 tsibble-0.6.0/tsibble/man/has-gaps.Rd |only tsibble-0.6.0/tsibble/man/id.Rd | 8 tsibble-0.6.0/tsibble/man/index-by.Rd | 15 tsibble-0.6.0/tsibble/man/index-rd.Rd | 18 tsibble-0.6.0/tsibble/man/index_valid.Rd | 4 tsibble-0.6.0/tsibble/man/key-size.Rd | 5 tsibble-0.6.0/tsibble/man/key.Rd | 11 tsibble-0.6.0/tsibble/man/key_by.Rd |only tsibble-0.6.0/tsibble/man/measured-vars.Rd | 8 tsibble-0.6.0/tsibble/man/new-data.Rd |only tsibble-0.6.0/tsibble/man/new_tsibble.Rd |only tsibble-0.6.0/tsibble/man/partial-slider.Rd |only tsibble-0.6.0/tsibble/man/pedestrian.Rd | 2 tsibble-0.6.0/tsibble/man/period.Rd | 18 tsibble-0.6.0/tsibble/man/pull-interval.Rd | 4 tsibble-0.6.0/tsibble/man/reexports.Rd | 3 tsibble-0.6.0/tsibble/man/regular.Rd | 17 tsibble-0.6.0/tsibble/man/slide.Rd | 10 tsibble-0.6.0/tsibble/man/slide2.Rd | 6 tsibble-0.6.0/tsibble/man/slider.Rd | 23 tsibble-0.6.0/tsibble/man/stretch.Rd | 4 tsibble-0.6.0/tsibble/man/stretch2.Rd | 4 tsibble-0.6.0/tsibble/man/tidyverse.Rd | 68 +- tsibble-0.6.0/tsibble/man/tile.Rd | 4 tsibble-0.6.0/tsibble/man/tile2.Rd | 4 tsibble-0.6.0/tsibble/man/tiler.Rd | 2 tsibble-0.6.0/tsibble/man/time_in.Rd |only tsibble-0.6.0/tsibble/man/time_unit.Rd | 8 tsibble-0.6.0/tsibble/man/tourism.Rd | 9 tsibble-0.6.0/tsibble/man/tsibble-package.Rd | 44 - tsibble-0.6.0/tsibble/man/tsibble.Rd | 41 - tsibble-0.6.0/tsibble/src/RcppExports.cpp | 12 tsibble-0.6.0/tsibble/src/utils.cpp | 27 tsibble-0.6.0/tsibble/tests/spelling.R |only tsibble-0.6.0/tsibble/tests/testthat/test-append.R | 16 tsibble-0.6.0/tsibble/tests/testthat/test-bind.R |only tsibble-0.6.0/tsibble/tests/testthat/test-dplyr.R | 75 -- tsibble-0.6.0/tsibble/tests/testthat/test-empty.R |only tsibble-0.6.0/tsibble/tests/testthat/test-fill-na.R | 105 ++- tsibble-0.6.0/tsibble/tests/testthat/test-filter-index.R |only tsibble-0.6.0/tsibble/tests/testthat/test-ggplot2.R |only tsibble-0.6.0/tsibble/tests/testthat/test-index-fun.R | 4 tsibble-0.6.0/tsibble/tests/testthat/test-join.R | 4 tsibble-0.6.0/tsibble/tests/testthat/test-key.R | 22 tsibble-0.6.0/tsibble/tests/testthat/test-slide.R | 10 tsibble-0.6.0/tsibble/tests/testthat/test-subset.R | 59 +- tsibble-0.6.0/tsibble/tests/testthat/test-tidyr.R | 49 + tsibble-0.6.0/tsibble/tests/testthat/test-ts2tsibble.R | 14 tsibble-0.6.0/tsibble/tests/testthat/test-tsibble.R | 118 +--- tsibble-0.6.0/tsibble/tests/testthat/test-tsibble2ts.R | 7 tsibble-0.6.0/tsibble/vignettes/faq.Rmd |only tsibble-0.6.0/tsibble/vignettes/implicit-na.Rmd |only tsibble-0.6.0/tsibble/vignettes/intro-tsibble.Rmd | 64 +- tsibble-0.6.0/tsibble/vignettes/window.Rmd | 6 127 files changed, 1677 insertions(+), 1637 deletions(-)
Title: SpatialGraph Class
Description: Provision of the S4 SpatialGraph class built on top of objects provided by 'igraph' and 'sp' packages, and associated utilities. See the documentation of the SpatialGraph-class within this package for further description. An example of how from a few points one can arrive to a SpatialGraph is provided in the function sl2sg().
Author: Javier Garcia-Pintado
Maintainer: Javier Garcia-Pintado <jgarciapintado@marum.de>
Diff between SpatialGraph versions 1.0-1 dated 2018-11-02 and 1.0-2 dated 2018-11-27
SpatialGraph-1.0-1/SpatialGraph/man/explodeSGDF.Rd |only SpatialGraph-1.0-2/SpatialGraph/DESCRIPTION | 13 +++------ SpatialGraph-1.0-2/SpatialGraph/MD5 | 14 +++++++--- SpatialGraph-1.0-2/SpatialGraph/NAMESPACE | 25 +++++++++++++++--- SpatialGraph-1.0-2/SpatialGraph/R/pointOnLine.R |only SpatialGraph-1.0-2/SpatialGraph/R/pointsOnSegment.R |only SpatialGraph-1.0-2/SpatialGraph/R/pointsToLines.R |only SpatialGraph-1.0-2/SpatialGraph/build/partial.rdb |binary SpatialGraph-1.0-2/SpatialGraph/man/explodeSLDF.Rd |only SpatialGraph-1.0-2/SpatialGraph/man/pointOnLine.Rd |only SpatialGraph-1.0-2/SpatialGraph/man/pointOnSegment.Rd |only SpatialGraph-1.0-2/SpatialGraph/man/pointsToLines.Rd |only 12 files changed, 37 insertions(+), 15 deletions(-)
Title: Landscape Epidemiology and Evolution
Description: A spatio-temporal stochastic model to assess resistance deployment strategies
against plant pathogens. The model is based on stochastic geometry for describing the
landscape and the resistant hosts, a dispersal kernel for the dissemination of the
pathogen, and a SEIR (Susceptible-Exposed-Infectious-Removed) architecture to simulate
plant response to disease.
Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett,
Peter H Thrall (2018) <doi:10.1371/journal.pcbi.1006067>.
Author: Loup Rimbaud [aut],
Julien Papaix [aut],
Jean-Francois Rey [cre]
Maintainer: Jean-Francois Rey <jean-francois.rey@inra.fr>
Diff between landsepi versions 0.0.4 dated 2018-04-10 and 0.0.5 dated 2018-11-27
DESCRIPTION | 12 +++++---- MD5 | 44 ++++++++++++++++++------------------ R/AgriLand.R | 4 +-- R/HLIRdynamics.R | 2 - R/RcppExports.R | 2 - R/demo_landsepi.R | 2 - R/landsepi.R | 58 +++++++++++++++++++++++++++++++++++++++++------- R/plotevolQR.R | 2 - R/simul_landsepi.R | 5 ++-- configure | 33 +++++++++++++-------------- configure.ac | 15 ++++++------ inst/CITATION | 8 ++++-- inst/extdata/README.pdf |binary man/AgriLand.Rd | 2 - man/HLIRdynamics.Rd | 2 - man/demo_landsepi.Rd | 2 - man/landsepi-package.Rd | 56 ++++++++++++++++++++++++++++++++++++++++------ man/modelLandsEPI.Rd | 2 - man/plotevolQR.Rd | 2 - man/simul_landsepi.Rd | 5 ++-- src/Makevars.in | 8 +++--- src/Makevars.win | 2 - src/model_simul.hpp | 2 - 23 files changed, 180 insertions(+), 90 deletions(-)
Title: Distribution Utilities
Description: Utilities are provided which are of use in the
packages I have developed for dealing with
distributions. Currently these packages are GeneralizedHyperbolic,
VarianceGamma, and SkewHyperbolic and NormalLaplace. Each of these
packages requires DistributionUtils. Functionality includes sample
skewness and kurtosis, log-histogram, tail plots, moments by
integration, changing the point about which a moment is
calculated, functions for testing distributions using inversion
tests and the Massart inequality. Also includes an implementation
of the incomplete Bessel K function.
Author: David Scott <d.scott@auckland.ac.nz>
Maintainer: David Scott <d.scott@auckland.ac.nz>
Diff between DistributionUtils versions 0.5-1 dated 2012-04-13 and 0.6-0 dated 2018-11-27
DistributionUtils-0.5-1/DistributionUtils/DistributionUtils-Ex.R |only DistributionUtils-0.6-0/DistributionUtils/ChangeLog | 14 + DistributionUtils-0.6-0/DistributionUtils/DESCRIPTION | 33 +-- DistributionUtils-0.6-0/DistributionUtils/MD5 | 28 +- DistributionUtils-0.6-0/DistributionUtils/NAMESPACE | 10 - DistributionUtils-0.6-0/DistributionUtils/R/momIntegrated.R | 16 - DistributionUtils-0.6-0/DistributionUtils/R/newIBFR.R | 100 +++++----- DistributionUtils-0.6-0/DistributionUtils/ToDo | 5 DistributionUtils-0.6-0/DistributionUtils/inst/unitTests/Makefile | 43 ++-- DistributionUtils-0.6-0/DistributionUtils/inst/unitTests/runit.distIneqMassart.R | 4 DistributionUtils-0.6-0/DistributionUtils/man/DistributionUtils-package.Rd | 2 DistributionUtils-0.6-0/DistributionUtils/man/distIneqMassartPlot.Rd | 3 DistributionUtils-0.6-0/DistributionUtils/man/incompleteBesselK.Rd | 4 DistributionUtils-0.6-0/DistributionUtils/man/tailPlot.Rd | 2 DistributionUtils-0.6-0/DistributionUtils/src/IncompleteBessel.f | 38 +-- DistributionUtils-0.6-0/DistributionUtils/src/init.c |only 16 files changed, 165 insertions(+), 137 deletions(-)
More information about DistributionUtils at CRAN
Permanent link
Title: L1 Constrained Estimation aka `lasso'
Description: Routines and documentation for solving regression problems
while imposing an L1 constraint on the estimates, based on
the algorithm of Osborne et al. (1998).
Author: Justin Lokhorst, Bill Venables and Berwin Turlach;
port to R, tests etc: Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Berwin Turlach <Berwin.Turlach@gmail.com>
Diff between lasso2 versions 1.2-19 dated 2014-05-31 and 1.2-20 dated 2018-11-27
lasso2-1.2-19/lasso2/inst/doc/lasso.html |only lasso2-1.2-20/lasso2/DESCRIPTION | 14 +++++++------- lasso2-1.2-20/lasso2/MD5 | 12 ++++++------ lasso2-1.2-20/lasso2/NAMESPACE | 6 +++++- lasso2-1.2-20/lasso2/build/vignette.rds |binary lasso2-1.2-20/lasso2/inst/doc/Manual-vignette.pdf |binary lasso2-1.2-20/lasso2/man/merge.formula.Rd | 6 +++--- lasso2-1.2-20/lasso2/src/init.c |only 8 files changed, 21 insertions(+), 17 deletions(-)
Title: Generalised log-Linear Model
Description: Routines for log-linear models of incomplete contingency tables,
including some latent class models, via EM and Fisher scoring
approaches. Allows bootstrapping. See Espeland and Hui (1987)
<doi:10.2307/2531553> for general approach.
Author: David Duffy <David.Duffy@qimr.edu.au>.
C code in emgllmfitter by Andreas Borg <borg@imbei.uni-mainz.de>
Maintainer: David Duffy <David.Duffy@qimrberghofer.edu.au>
Diff between gllm versions 0.35 dated 2013-10-31 and 0.37 dated 2018-11-27
DESCRIPTION | 15 ++++++++------- MD5 | 4 ++-- NAMESPACE | 8 ++++++++ 3 files changed, 18 insertions(+), 9 deletions(-)
Title: A Class of Mixture Models for Ordinal Data
Description: For ordinal rating data, estimate and test models within the family of
CUB models and their extensions (where CUB stands for Combination of a
discrete Uniform and a shifted Binomial distributions). Simulation routines, plotting facilities
and fitting measures are also provided.
Author: Maria Iannario <maria.iannario@unina.it>, Domenico Piccolo
<domenico.piccolo@unina.it>, Rosaria Simone <rosaria.simone@unina.it>
Maintainer: Rosaria Simone <rosaria.simone@unina.it>
Diff between CUB versions 1.1.2 dated 2018-02-08 and 1.1.3 dated 2018-11-27
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- build/vignette.rds |binary inst/doc/CUBvignette-knitr.Rnw | 3 +-- inst/doc/CUBvignette-knitr.pdf |binary vignettes/CUBvignette-knitr.Rnw | 3 +-- 6 files changed, 11 insertions(+), 13 deletions(-)
Title: Feature Selection Algorithms for Computer Aided Diagnosis
Description: Contains a set of utilities for building and testing statistical models (linear, logistic,ordinal or COX) for Computer Aided Diagnosis/Prognosis applications. Utilities include data adjustment, univariate analysis, model building, model-validation, longitudinal analysis, reporting and visualization.
Author: Jose Gerardo Tamez-Pena, Antonio Martinez-Torteya and Israel Alanis
Maintainer: Jose Gerardo Tamez-Pena <jose.tamezpena@tec.mx>
Diff between FRESA.CAD versions 3.0.0 dated 2018-02-01 and 3.1.0 dated 2018-11-27
FRESA.CAD-3.0.0/FRESA.CAD/src/outcheck.txt |only FRESA.CAD-3.1.0/FRESA.CAD/DESCRIPTION | 14 FRESA.CAD-3.1.0/FRESA.CAD/MD5 | 171 + FRESA.CAD-3.1.0/FRESA.CAD/NAMESPACE | 55 FRESA.CAD-3.1.0/FRESA.CAD/NEWS | 44 FRESA.CAD-3.1.0/FRESA.CAD/R/BSWiMS.r | 459 +++-- FRESA.CAD-3.1.0/FRESA.CAD/R/FRESA.Model.R | 200 -- FRESA.CAD-3.1.0/FRESA.CAD/R/FRESAModelingFunctions.R |only FRESA.CAD-3.1.0/FRESA.CAD/R/FRESAScale.r |only FRESA.CAD-3.1.0/FRESA.CAD/R/ForwardSelection.Model.Bin.R | 140 - FRESA.CAD-3.1.0/FRESA.CAD/R/ForwardSelection.Model.Res.R | 114 - FRESA.CAD-3.1.0/FRESA.CAD/R/OrdinalBenchmark.R |only FRESA.CAD-3.1.0/FRESA.CAD/R/RegresionBenchmark.R |only FRESA.CAD-3.1.0/FRESA.CAD/R/backVarElimination.Bin.R | 45 FRESA.CAD-3.1.0/FRESA.CAD/R/backVarElimination.Res.R | 34 FRESA.CAD-3.1.0/FRESA.CAD/R/baggedModel.R | 902 +++++----- FRESA.CAD-3.1.0/FRESA.CAD/R/barPlotCiError.R |only FRESA.CAD-3.1.0/FRESA.CAD/R/binaryBenchMark.R |only FRESA.CAD-3.1.0/FRESA.CAD/R/bootstrapValidation.Bin.R | 20 FRESA.CAD-3.1.0/FRESA.CAD/R/bootstrapValidation.Res.R | 1 FRESA.CAD-3.1.0/FRESA.CAD/R/bootstrapVarElimination.Bin.R | 126 - FRESA.CAD-3.1.0/FRESA.CAD/R/bootstrapVarElimination.Res.R | 93 - FRESA.CAD-3.1.0/FRESA.CAD/R/crossValidationFeatureSelection.Bin.R | 268 +- FRESA.CAD-3.1.0/FRESA.CAD/R/crossValidationFeatureSelection.Res.R | 154 - FRESA.CAD-3.1.0/FRESA.CAD/R/ensemblePredict.R | 176 + FRESA.CAD-3.1.0/FRESA.CAD/R/getKNNpredictionFromFormula.R | 2 FRESA.CAD-3.1.0/FRESA.CAD/R/getSignature.r | 162 - FRESA.CAD-3.1.0/FRESA.CAD/R/getVar.Res.R | 3 FRESA.CAD-3.1.0/FRESA.CAD/R/heatMaps.R | 44 FRESA.CAD-3.1.0/FRESA.CAD/R/modelFitting.R | 76 FRESA.CAD-3.1.0/FRESA.CAD/R/nearestneighborimpute.R | 2 FRESA.CAD-3.1.0/FRESA.CAD/R/orderFeatures.r |only FRESA.CAD-3.1.0/FRESA.CAD/R/plot.FRESABenchmark.R |only FRESA.CAD-3.1.0/FRESA.CAD/R/plot.bootstrapValidation.Bin.R | 2 FRESA.CAD-3.1.0/FRESA.CAD/R/plotModels.ROC.R | 36 FRESA.CAD-3.1.0/FRESA.CAD/R/predictForFresa.R | 281 ++- FRESA.CAD-3.1.0/FRESA.CAD/R/predictionStats.R |only FRESA.CAD-3.1.0/FRESA.CAD/R/randomCV.R |only FRESA.CAD-3.1.0/FRESA.CAD/R/randomCVFunctions.R |only FRESA.CAD-3.1.0/FRESA.CAD/R/rankInverseNormalDataFrame.R | 21 FRESA.CAD-3.1.0/FRESA.CAD/R/reportEquivalentVariables.R | 60 FRESA.CAD-3.1.0/FRESA.CAD/R/residualtForFRESA.R | 1 FRESA.CAD-3.1.0/FRESA.CAD/R/signatureDistance.r | 130 - FRESA.CAD-3.1.0/FRESA.CAD/R/summary.fitFRESA.R | 107 - FRESA.CAD-3.1.0/FRESA.CAD/R/timeSerieAnalysis.R | 307 +-- FRESA.CAD-3.1.0/FRESA.CAD/R/uniRankVar.R | 39 FRESA.CAD-3.1.0/FRESA.CAD/R/updateModel.Bin.R | 44 FRESA.CAD-3.1.0/FRESA.CAD/R/updateModel.Res.R | 42 FRESA.CAD-3.1.0/FRESA.CAD/data/cancerVarNames.rda |binary FRESA.CAD-3.1.0/FRESA.CAD/inst |only FRESA.CAD-3.1.0/FRESA.CAD/man/BSWiMS.Rd | 176 + FRESA.CAD-3.1.0/FRESA.CAD/man/CV_signature.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/EmpiricalSurvDiff.Rd | 2 FRESA.CAD-3.1.0/FRESA.CAD/man/FRESA.CAD-package.Rd | 176 - FRESA.CAD-3.1.0/FRESA.CAD/man/FRESA.Model.Rd | 120 - FRESA.CAD-3.1.0/FRESA.CAD/man/FRESAScale.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/FilterUnivariate.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/Filter_mRMR.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/ForwardModel.Bin.Rd | 6 FRESA.CAD-3.1.0/FRESA.CAD/man/ForwardModel.Res.Rd | 9 FRESA.CAD-3.1.0/FRESA.CAD/man/KNN_method.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/LASSO_MIN.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/LM_RIDGE_MIN.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/NAIVE_BAYES.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/backVarElimination.Bin.Rd | 7 FRESA.CAD-3.1.0/FRESA.CAD/man/backVarElimination.Res.Rd | 7 FRESA.CAD-3.1.0/FRESA.CAD/man/baggedModel.Rd | 3 FRESA.CAD-3.1.0/FRESA.CAD/man/barPlotCiError.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/benchmarking.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/bootstrapVarElimination.Bin.Rd | 16 FRESA.CAD-3.1.0/FRESA.CAD/man/bootstrapVarElimination.Res.Rd | 16 FRESA.CAD-3.1.0/FRESA.CAD/man/crossValidationFeatureSelection.Bin.Rd | 22 FRESA.CAD-3.1.0/FRESA.CAD/man/crossValidationFeatureSelection.Res.Rd | 21 FRESA.CAD-3.1.0/FRESA.CAD/man/ensemblePredict.Rd | 4 FRESA.CAD-3.1.0/FRESA.CAD/man/getKNNpredictionFromFormula.Rd | 4 FRESA.CAD-3.1.0/FRESA.CAD/man/heatMaps.Rd | 2 FRESA.CAD-3.1.0/FRESA.CAD/man/nearestneighborimpute.Rd | 10 FRESA.CAD-3.1.0/FRESA.CAD/man/plot.FRESABenchmark.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/predict.FRESAKNN.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/predict.FRESA_LASSO.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/predict.FRESA_NAIVEBAYES.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/predict.FRESA_RIDGE.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/predict.FRESAsignature.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/predictForFresa.Rd | 4 FRESA.CAD-3.1.0/FRESA.CAD/man/predictionStats.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/randomCV.Rd |only FRESA.CAD-3.1.0/FRESA.CAD/man/rankInverseNormalDataFrame.Rd | 4 FRESA.CAD-3.1.0/FRESA.CAD/man/reportEquivalentVariables.Rd | 4 FRESA.CAD-3.1.0/FRESA.CAD/man/residualForFRESA.Rd | 2 FRESA.CAD-3.1.0/FRESA.CAD/man/signatureDistance.Rd | 9 FRESA.CAD-3.1.0/FRESA.CAD/man/uniRankVar.Rd | 2 FRESA.CAD-3.1.0/FRESA.CAD/man/univariateRankVariables.Rd | 2 FRESA.CAD-3.1.0/FRESA.CAD/man/updateModel.Bin.Rd | 6 FRESA.CAD-3.1.0/FRESA.CAD/man/updateModel.Res.Rd | 8 FRESA.CAD-3.1.0/FRESA.CAD/src/FRESACAD_init.cpp | 14 FRESA.CAD-3.1.0/FRESA.CAD/src/FRESAcommons.cpp | 180 + FRESA.CAD-3.1.0/FRESA.CAD/src/FRESAcommons.h | 1 FRESA.CAD-3.1.0/FRESA.CAD/src/Makevars | 2 FRESA.CAD-3.1.0/FRESA.CAD/src/Makevars.win | 5 FRESA.CAD-3.1.0/FRESA.CAD/src/binaryFeatureSelectionCpp.cpp | 203 +- FRESA.CAD-3.1.0/FRESA.CAD/src/regresionFeatureSelectionCpp.cpp | 149 + 101 files changed, 3233 insertions(+), 2338 deletions(-)
Title: Easily Install and Load the 'Tidymodels' Packages
Description: The tidy modeling "verse" is a collection of packages for
modeling and statistical analysis that share the underlying design
philosophy, grammar, and data structures of the tidyverse.
Author: Kuhn Max [aut, cre],
Hadley Wickham [aut],
RStudio [cph, fnd]
Maintainer: Kuhn Max <max@rstudio.com>
Diff between tidymodels versions 0.0.1 dated 2018-07-27 and 0.0.2 dated 2018-11-27
DESCRIPTION | 23 ++++++++++++----------- MD5 | 10 ++++++---- NAMESPACE | 9 +++++++++ NEWS.md | 7 +++++++ R/attach.R | 4 ++-- R/imports.R |only man/tidymodels-package.Rd |only 7 files changed, 36 insertions(+), 17 deletions(-)