Title: Functions for Set-Theoretic Multi-Method Research and Advanced
QCA
Description: Functions for performing set-theoretic multi-method research, QCA for clustered data, theory evaluation, Enhanced Standard Analysis, indirect calibration, radar visualisations. Additionally it includes data to replicate the examples in the book by Oana, I.E, C. Q. Schneider, and E. Thomann. Qualitative Comparative Analysis (QCA) using R: A Gentle Introduction. Cambridge University Press and C. Q. Schneider and C. Wagemann "Set Theoretic Methods for the Social Sciences", Cambridge University Press.
Author: Ioana-Elena Oana [aut, cre],
Juraj Medzihorsky [aut],
Mario Quaranta [aut],
Carsten Q. Schneider [aut]
Maintainer: Ioana-Elena Oana <ioana.oana@eui.eu>
Diff between SetMethods versions 2.5 dated 2020-04-14 and 2.6 dated 2020-08-07
SetMethods-2.5/SetMethods/R/calib.range.R |only SetMethods-2.5/SetMethods/R/core.fit.R |only SetMethods-2.5/SetMethods/R/incl.range.R |only SetMethods-2.5/SetMethods/R/ncut.range.R |only SetMethods-2.5/SetMethods/R/robustness.cases.R |only SetMethods-2.5/SetMethods/R/robustness.fit.R |only SetMethods-2.5/SetMethods/R/robustness.xyplot.R |only SetMethods-2.5/SetMethods/man/calib.range.Rd |only SetMethods-2.5/SetMethods/man/core.fit.Rd |only SetMethods-2.5/SetMethods/man/incl.range.Rd |only SetMethods-2.5/SetMethods/man/ncut.range.Rd |only SetMethods-2.5/SetMethods/man/robustness.cases.Rd |only SetMethods-2.5/SetMethods/man/robustness.fit.Rd |only SetMethods-2.5/SetMethods/man/robustness.xyplot.Rd |only SetMethods-2.6/SetMethods/DESCRIPTION | 10 SetMethods-2.6/SetMethods/MD5 | 78 ++--- SetMethods-2.6/SetMethods/NAMESPACE | 2 SetMethods-2.6/SetMethods/NEWS | 8 SetMethods-2.6/SetMethods/R/QCAfit.R | 10 SetMethods-2.6/SetMethods/R/cluster.plot.R | 4 SetMethods-2.6/SetMethods/R/esa.R | 36 +- SetMethods-2.6/SetMethods/R/helper_case_smmr.R | 4 SetMethods-2.6/SetMethods/R/helper_match_smmr.R | 28 - SetMethods-2.6/SetMethods/R/helper_rob.R | 14 SetMethods-2.6/SetMethods/R/helper_theory_eval.R | 4 SetMethods-2.6/SetMethods/R/pimplot.R | 9 SetMethods-2.6/SetMethods/R/property.cube.R | 6 SetMethods-2.6/SetMethods/R/rob.calibrange.R |only SetMethods-2.6/SetMethods/R/rob.cases.R |only SetMethods-2.6/SetMethods/R/rob.corefit.R |only SetMethods-2.6/SetMethods/R/rob.fit.R |only SetMethods-2.6/SetMethods/R/rob.inclrange.R |only SetMethods-2.6/SetMethods/R/rob.ncutrange.R |only SetMethods-2.6/SetMethods/R/rob.xyplot.R |only SetMethods-2.6/SetMethods/R/skew.check.R | 19 + SetMethods-2.6/SetMethods/R/stargazerSol.R | 4 SetMethods-2.6/SetMethods/R/theory.evaluation.R | 16 - SetMethods-2.6/SetMethods/R/xy.plot.R | 6 SetMethods-2.6/SetMethods/data/LIPF.rda |binary SetMethods-2.6/SetMethods/man/LIPF.Rd | 2 SetMethods-2.6/SetMethods/man/QCAfit.Rd | 5 SetMethods-2.6/SetMethods/man/SetMethods-package.Rd | 11 SetMethods-2.6/SetMethods/man/pimplot.Rd | 304 ++++++++++---------- SetMethods-2.6/SetMethods/man/property.cube.Rd | 6 SetMethods-2.6/SetMethods/man/rob.calibrange.Rd |only SetMethods-2.6/SetMethods/man/rob.cases.Rd |only SetMethods-2.6/SetMethods/man/rob.corefit.Rd |only SetMethods-2.6/SetMethods/man/rob.fit.Rd |only SetMethods-2.6/SetMethods/man/rob.inclrange.Rd |only SetMethods-2.6/SetMethods/man/rob.ncutrange.Rd |only SetMethods-2.6/SetMethods/man/rob.xyplot.Rd |only SetMethods-2.6/SetMethods/man/skew.check.Rd | 10 SetMethods-2.6/SetMethods/man/theory.evaluation.Rd | 11 SetMethods-2.6/SetMethods/man/xy.plot.Rd | 2 54 files changed, 338 insertions(+), 271 deletions(-)
Title: A Tidy Implementation of Heatmap
Description: This is a tidy implementation for heatmap. At the
moment it is based on the (great) package 'ComplexHeatmap'. The goal
of this package is to interface a tidy data frame with this powerful
tool. Some of the advantages are: Row and/or columns colour
annotations are easy to integrate just specifying one parameter
(column names). Custom grouping of rows is easy to specify providing
a grouped tbl. For example: df %>% group_by(...). Labels size
adjusted by row and column total number. Default use of Brewer and
Viridis palettes.
Author: Stefano Mangiola [aut, cre],
Anthony Papenfuss [ctb]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>
Diff between tidyHeatmap versions 1.0.1 dated 2020-06-23 and 1.1.4 dated 2020-08-07
tidyHeatmap-1.0.1/tidyHeatmap/data/type_to_annot_function.rda |only tidyHeatmap-1.0.1/tidyHeatmap/man/heatmap.Rd |only tidyHeatmap-1.0.1/tidyHeatmap/man/heatmap.default.Rd |only tidyHeatmap-1.0.1/tidyHeatmap/man/heatmap.tbl_df.Rd |only tidyHeatmap-1.0.1/tidyHeatmap/man/plot_heatmap.Rd |only tidyHeatmap-1.0.1/tidyHeatmap/man/type_to_annot_function.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/DESCRIPTION | 33 tidyHeatmap-1.1.4/tidyHeatmap/MD5 | 87 + tidyHeatmap-1.1.4/tidyHeatmap/NAMESPACE | 105 + tidyHeatmap-1.1.4/tidyHeatmap/R/data.R | 12 tidyHeatmap-1.1.4/tidyHeatmap/R/deprecated_framework.R |only tidyHeatmap-1.1.4/tidyHeatmap/R/functions.R | 325 +++-- tidyHeatmap-1.1.4/tidyHeatmap/R/methods.R | 549 ++++++++-- tidyHeatmap-1.1.4/tidyHeatmap/R/utilities.R | 242 +++- tidyHeatmap-1.1.4/tidyHeatmap/R/zzz.R |only tidyHeatmap-1.1.4/tidyHeatmap/README.md | 142 +- tidyHeatmap-1.1.4/tidyHeatmap/build/tidyHeatmap.pdf |binary tidyHeatmap-1.1.4/tidyHeatmap/build/vignette.rds |binary tidyHeatmap-1.1.4/tidyHeatmap/data/pasilla.rda |binary tidyHeatmap-1.1.4/tidyHeatmap/inst/CITATION |only tidyHeatmap-1.1.4/tidyHeatmap/inst/WORDLIST |only tidyHeatmap-1.1.4/tidyHeatmap/inst/doc/introduction.R | 46 tidyHeatmap-1.1.4/tidyHeatmap/inst/doc/introduction.Rmd | 86 + tidyHeatmap-1.1.4/tidyHeatmap/inst/doc/introduction.html | 149 ++ tidyHeatmap-1.1.4/tidyHeatmap/man/add_annotation.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/man/add_bar-methods.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/man/add_bar.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/man/add_line-methods.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/man/add_line.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/man/add_point-methods.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/man/add_tile-methods.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/man/figures/unnamed-chunk-10-1.png |only tidyHeatmap-1.1.4/tidyHeatmap/man/figures/unnamed-chunk-11-1.png |only tidyHeatmap-1.1.4/tidyHeatmap/man/figures/unnamed-chunk-12-1.png |only tidyHeatmap-1.1.4/tidyHeatmap/man/figures/unnamed-chunk-6-1.png |only tidyHeatmap-1.1.4/tidyHeatmap/man/figures/unnamed-chunk-8-1.png |only tidyHeatmap-1.1.4/tidyHeatmap/man/figures/unnamed-chunk-9-1.png |only tidyHeatmap-1.1.4/tidyHeatmap/man/heatmap-methods.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/man/ifelse2_pipe.Rd | 54 tidyHeatmap-1.1.4/tidyHeatmap/man/ifelse_pipe.Rd | 46 tidyHeatmap-1.1.4/tidyHeatmap/man/input_heatmap.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/man/pasilla.Rd | 2 tidyHeatmap-1.1.4/tidyHeatmap/man/save_pdf-InputHeatmap-method.Rd |only tidyHeatmap-1.1.4/tidyHeatmap/tests/figs |only tidyHeatmap-1.1.4/tidyHeatmap/tests/testthat/spelling.R |only tidyHeatmap-1.1.4/tidyHeatmap/tests/testthat/tests.R | 323 +++-- tidyHeatmap-1.1.4/tidyHeatmap/vignettes/introduction.Rmd | 86 + 47 files changed, 1619 insertions(+), 668 deletions(-)
Title: Scalable Geographically Weighted Regression
Description: Fast and regularized version of GWR for large dataset, detailed in Murakami, Tsutsumida, Yoshida, Nakaya, and Lu (2019) <arXiv:1905.00266>.
Author: Daisuke Murakami[cre,aut], Narumasa Tsutsumida[ctb], Takahiro Yoshida[ctb], Tomoki Nakaya[ctb], Lu Binbin[ctb]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>
Diff between scgwr versions 0.1.2 dated 2020-08-03 and 0.1.2-1 dated 2020-08-07
DESCRIPTION | 8 +- MD5 | 6 +- NAMESPACE | 3 - R/scgwr_p.R | 161 ++++++++++++++---------------------------------------------- 4 files changed, 46 insertions(+), 132 deletions(-)
Title: Predictive Data Analysis System
Description: Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
Author: Oldemar Rodriguez R. with contributions from Diego Jimenez A. and Andres Navarro D.
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>
Diff between predictoR versions 1.1.2 dated 2020-06-26 and 1.1.3 dated 2020-08-07
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- inst/application/global.R | 14 +++++++------- inst/application/ui.R | 2 +- 4 files changed, 15 insertions(+), 15 deletions(-)
Title: Partial Least Squares and Principal Component Regression
Description: Multivariate regression methods
Partial Least Squares Regression (PLSR), Principal Component
Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).
Author: Bjørn-Helge Mevik [aut, cre],
Ron Wehrens [aut],
Kristian Hovde Liland [aut],
Paul Hiemstra [ctb]
Maintainer: Bjørn-Helge Mevik <b-h@mevik.net>
Diff between pls versions 2.7-2 dated 2019-10-01 and 2.7-3 dated 2020-08-07
DESCRIPTION | 10 - MD5 | 52 ++++---- R/cppls.fit.R | 246 ++++++++++++++++++++-------------------- R/crossval.R | 10 - R/cvsegments.R | 6 R/extract.R | 15 -- R/jackknife.R | 6 R/kernelpls.fit.R | 15 +- R/msc.R | 4 R/mvr.R | 11 - R/mvrVal.R | 29 ++-- R/mvr_wrappers.R | 10 - R/ncomp.R | 3 R/oscorespls.fit.R | 10 - R/plots.R | 56 ++++----- R/pls.options.R | 2 R/predict.mvr.R | 7 - R/simpls.fit.R | 13 -- R/stdize.R | 8 - R/summaries.R | 1 R/svdpc.fit.R | 9 - R/widekernelpls.fit.R | 4 build/vignette.rds |binary inst/NEWS.Rd | 9 + inst/doc/pls-manual.R | 1 inst/doc/pls-manual.pdf |binary tests/testthat/test_basic_pls.R | 22 +-- 27 files changed, 285 insertions(+), 274 deletions(-)
Title: Visualizations for 'mlr3'
Description: Provides visualizations for 'mlr3' objects such as
tasks, predictions, resample results or benchmark results via the
autoplot() generic of 'ggplot2'. The returned 'ggplot' objects are
intended to provide sensible defaults, yet can easily be customized to
create camera-ready figures. Visualizations include barplots,
boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>),
Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>),
Raphael Sonabend [aut] (<https://orcid.org/0000-0001-9225-4654>)
Maintainer: Michel Lang <michellang@gmail.com>
Diff between mlr3viz versions 0.1.1 dated 2020-02-19 and 0.2.0 dated 2020-08-07
DESCRIPTION | 50 +++++--- MD5 | 71 ++++++----- NAMESPACE | 4 NEWS.md | 7 + R/BenchmarkResult.R | 50 +++++--- R/Filter.R | 7 - R/LearnerClasssifRpart.R |only R/LearnerRegrRpart.R |only R/Prediction.R | 2 R/PredictionClassif.R | 10 + R/PredictionRegr.R | 53 ++++++-- R/ResampleResult.R | 161 +++++++++++++++++++------- R/Task.R | 2 R/TaskClassif.R | 18 +- R/TaskDens.R |only R/TaskRegr.R | 17 +- R/TaskSurv.R | 22 ++- R/as_precrec.R | 16 +- R/plot_learner_prediction.R | 21 ++- README.md | 7 - man/as_precrec.Rd | 5 man/autoplot.BenchmarkResult.Rd | 12 + man/autoplot.LearnerClassifRpart.Rd |only man/autoplot.PredictionRegr.Rd | 21 ++- man/autoplot.ResampleResult.Rd | 14 +- man/autoplot.TaskClassif.Rd | 9 - man/autoplot.TaskDens.Rd |only man/autoplot.TaskRegr.Rd | 9 - man/autoplot.TaskSurv.Rd | 8 - man/figures/README-demo-1.png |binary man/figures/README-demo-2.png |binary man/figures/README-demo-3.png |binary man/mlr3viz-package.Rd | 18 +- man/plot_learner_prediction.Rd | 14 +- man/predict_grid.Rd |only tests/testthat/test_BenchmarkResult.R | 4 tests/testthat/test_LearnerClassifRpart.R |only tests/testthat/test_LearnerRegrRpart.R |only tests/testthat/test_ResampleResult.R | 28 +++- tests/testthat/test_TaskDens.R |only tests/testthat/test_plot_learner_prediction.R | 11 + 41 files changed, 465 insertions(+), 206 deletions(-)
Title: Distribution-Free Exact High Dimensional Low Sample Size
k-Sample Tests
Description: We construct four new exact level (size) alpha tests for testing the equality
of k distributions, which can be conveniently used in high dimensional low sample
size setup based on clustering. These tests are easy to implement and distribution-free.
Under mild conditions, we have proved the consistency of these tests as the dimension
d of each observation grows to infinity, whereas the sample size remains fixed.
We also apply step-down-procedure (1979) for multiple testing. Details are in
Biplab Paul, Shyamal K De and Anil K Ghosh (2020); Soham Sarkar and Anil K Ghosh (2019)
<doi:10.1109/TPAMI.2019.2912599>; William M Rand (1971) <doi:10.1080/01621459.1971.10482356>;
Cyrus R Mehta and Nitin R Patel (1983) <doi:10.2307/2288652>; Joseph C Dunn (1973)
<doi:10.1080/01969727308546046>; Sture Holm (1979) <doi:10.2307/4615733>.
Author: Biplab Paul [aut, cre],
Shyamal K. De [aut],
Anil K. Ghosh [aut]
Maintainer: Biplab Paul <biplab.paul@niser.ac.in>
Diff between HDLSSkST versions 1.0 dated 2020-08-04 and 1.0.1 dated 2020-08-07
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- src/clust_ct.cpp | 2 +- 3 files changed, 7 insertions(+), 7 deletions(-)
Title: Flexible Polyline Encoding
Description: Binding to the C++ implementation of the flexible polyline
encoding by HERE <https://github.com/heremaps/flexible-polyline>. The
flexible polyline encoding is a lossy compressed representation of a list of
coordinate pairs or coordinate triples. The encoding is achieved by:
(1) Reducing the decimal digits of each value;
(2) encoding only the offset from the previous point;
(3) using variable length for each coordinate delta; and
(4) using 64 URL-safe characters to display the result.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>),
HERE Europe B.V. [aut, cph] (Flexible polyline encoding C++
implementation)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>
Diff between flexpolyline versions 0.1.0 dated 2020-06-25 and 0.1.1 dated 2020-08-07
DESCRIPTION | 13 ++-- MD5 | 32 +++++----- NEWS.md | 11 +++ README.md | 12 ++-- build/vignette.rds |binary inst/doc/cpp-binding.html | 36 ++++++------ inst/doc/flexpolyline.R | 2 inst/doc/flexpolyline.Rmd | 6 +- inst/doc/flexpolyline.html | 42 +++++++------- inst/doc/sf-support.R | 2 inst/doc/sf-support.Rmd | 4 - inst/doc/sf-support.html | 112 +++++++++++++++++++------------------- inst/include/hf/flexpolyline.h | 4 - man/flexpolyline-package.Rd | 2 tests/testthat/test-cpp_binding.R | 14 +++- vignettes/flexpolyline.Rmd | 6 +- vignettes/sf-support.Rmd | 4 - 17 files changed, 168 insertions(+), 134 deletions(-)
Title: Benchmark and Frontier Analysis Using DEA and SFA
Description: Methods for frontier
analysis, Data Envelopment Analysis (DEA), under different
technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+),
and using different efficiency measures (input based, output based,
hyperbolic graph, additive, super, and directional efficiency). Peers
and slacks are available, partial price information can be included,
and optimal cost, revenue and profit can be calculated. Evaluation of
mergers is also supported. Methods for graphing the technology sets
are also included. There is also support for comparative methods based
on Stochastic Frontier Analyses (SFA) and for convex nonparametric
least squares for convex functions (StoNED). In general, the methods
can be used to solve not only standard models, but also many other
model variants. It complements the book, Bogetoft and Otto,
Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of
course also be used as a stand-alone package.
Author: Peter Bogetoft and Lars Otto
Maintainer: Lars Otto <larsot23@gmail.com>
Diff between Benchmarking versions 0.28 dated 2019-12-18 and 0.29 dated 2020-08-07
DESCRIPTION | 24 - MD5 | 73 ++- NAMESPACE | 20 - NEWS | 14 R/RcppExports.R |only R/StoNED.R |only R/addModel.R | 28 - R/cost.R | 26 - R/dea.R | 811 ++++++++++++++++++++++---------------------- R/dea.boot.R | 106 +++-- R/dea.direct.R | 18 R/dea.dual.R | 65 +-- R/dea.merge.R | 20 - R/dea.plot.R | 34 - R/deaUtil.R | 187 +++++----- R/fdhPlus.R | 12 R/graphEff.R | 44 +- R/malmq.R | 22 - R/malmquist.R | 14 R/minDirection.R | 53 +- R/outlier.R | 223 +++++++----- R/profit.R | 21 - R/rev.R | 21 - R/sdea.R | 19 - R/sfa.R | 124 +++--- R/slack.R | 85 +--- man/Benchmarking-package.Rd | 41 +- man/cost.opt.Rd | 12 man/dea.Rd | 23 + man/dea.boot.Rd | 17 man/dea.merge.Rd | 11 man/eladder.Rd | 11 man/outlier.Rd | 28 + man/sdea.Rd | 11 man/sfa.Rd | 24 - man/slack.Rd | 9 man/stoned.Rd |only src |only 38 files changed, 1188 insertions(+), 1063 deletions(-)
More information about changepoint.mv at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-07-24 1.0.1
2020-06-05 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2016-12-27 1.5.10
2014-04-24 1.5.0.2
2014-03-11 1.5.0.1
2009-11-20 1.4.3
2009-02-08 1.4.2
2006-11-22 1.4
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-03-12 1.3-6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-07-23 1.0.8
2020-04-14 1.0.7
2020-04-07 1.0.6
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-03-12 1.1-4
Title: Thurstonian IRT Models
Description: Fit Thurstonian Item Response Theory (IRT) models in R. This
package supports fitting Thurstonian IRT models and its extensions using
'Stan', 'lavaan', or 'Mplus' for the model estimation. Functionality for
extracting results, making predictions, and simulating data is provided as
well. References:
Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>;
Bürkner et al. (2019) <doi:10.1177/0013164419832063>.
Author: Paul-Christian Bürkner [aut, cre],
Trustees of Columbia University [cph]
Maintainer: Paul-Christian Bürkner <paul.buerkner@gmail.com>
Diff between thurstonianIRT versions 0.11.0 dated 2020-07-19 and 0.11.1 dated 2020-08-07
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS.md | 5 +++++ inst/doc/TIRT_sim_tests.html | 12 ++++++------ tests/testthat/tests.lavaan.R | 4 ++-- 5 files changed, 21 insertions(+), 16 deletions(-)
More information about thurstonianIRT at CRAN
Permanent link
Title: R Interface to the Vowpal Wabbit
Description: The 'Vowpal Wabbit' project is a fast out-of-core learning
system sponsored by Microsoft Research (having started at Yahoo! Research)
and written by John Langford along with a number of contributors. This R
package does not include the distributed computing implementation of the
cluster/ directory of the upstream sources. Use of the software as a network
service is also not directly supported as the aim is a simpler direct call
from R for validation and comparison. Note that this package contains an
embedded older version of 'Vowpal Wabbit'. The package 'rvw' at the GitHub
repo <https://github.com/eddelbuettel/rvw> can provide an alternative using
an external 'Vowpal Wabbit' library installation.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RVowpalWabbit versions 0.0.14 dated 2020-06-14 and 0.0.15 dated 2020-08-07
RVowpalWabbit-0.0.14/RVowpalWabbit/inst/test/train-sets/0002.dat |only RVowpalWabbit-0.0.14/RVowpalWabbit/tests/test5.r |only RVowpalWabbit-0.0.14/RVowpalWabbit/tests/test6.r |only RVowpalWabbit-0.0.14/RVowpalWabbit/tests/test7.r |only RVowpalWabbit-0.0.14/RVowpalWabbit/tests/test8.r |only RVowpalWabbit-0.0.15/RVowpalWabbit/ChangeLog | 20 ++++++++ RVowpalWabbit-0.0.15/RVowpalWabbit/DESCRIPTION | 10 ++-- RVowpalWabbit-0.0.15/RVowpalWabbit/MD5 | 23 +++------- RVowpalWabbit-0.0.15/RVowpalWabbit/README.md | 8 +-- RVowpalWabbit-0.0.15/RVowpalWabbit/configure | 18 +++---- RVowpalWabbit-0.0.15/RVowpalWabbit/configure.ac | 2 RVowpalWabbit-0.0.15/RVowpalWabbit/src/cache.cc | 19 ++++---- RVowpalWabbit-0.0.15/RVowpalWabbit/src/hash.cc | 3 - RVowpalWabbit-0.0.15/RVowpalWabbit/src/sender.cc | 10 ++-- RVowpalWabbit-0.0.15/RVowpalWabbit/src/simple_label.cc | 12 ++--- 15 files changed, 71 insertions(+), 54 deletions(-)
Title: Toolbox for Regression Discontinuity Design ('RDD')
Description: Set of functions for Regression Discontinuity Design ('RDD'), for
data visualisation, estimation and testing.
Author: Matthieu Stigler [aut],
Bastiaan Quast [aut, cre]
Maintainer: Bastiaan Quast <bquast@gmail.com>
Diff between rddtools versions 1.2.0 dated 2020-07-22 and 1.4.0 dated 2020-08-07
DESCRIPTION | 6 +++--- MD5 | 25 +++++++++++++------------ NEWS.md |only R/rddtools.R | 1 - README.md | 1 - inst/doc/morocco.R | 6 ------ inst/doc/morocco.Rmd | 12 ------------ inst/doc/morocco.html | 30 ++++++++++++------------------ inst/doc/rddtools.R | 1 - inst/doc/rddtools.Rmd | 1 - inst/doc/rddtools.html | 8 +++----- man/indh.Rd | 1 - vignettes/morocco.Rmd | 12 ------------ vignettes/rddtools.Rmd | 1 - 14 files changed, 31 insertions(+), 74 deletions(-)
Title: GLRT P-Values in Generalized Linear Models
Description: Provides functions to compute Generalized Likelihood Ratio Tests (GLRT) also known as Likelihood Ratio Tests (LRT) and Rao's score tests of simple
and complex contrasts of Generalized Linear Models (GLMs). It provides the same interface as summary.glm(), adding GLRT P-values,
less biased than Wald's P-values and consistent with profile-likelihood confidence interval generated by confint().
See Wilks (1938) <doi:10.1214/aoms/1177732360> for the LRT chi-square approximation.
See Rao (1948) <doi:10.1017/S0305004100023987> for Rao's score test.
See Wald (1943) <doi:10.2307/1990256> for Wald's test.
Author: André GILLIBERT [aut, cre]
Maintainer: André GILLIBERT <andre.gillibert@chu-rouen.fr>
Diff between glmglrt versions 0.1.0 dated 2020-03-19 and 0.2.2 dated 2020-08-07
ChangeLog |only DESCRIPTION | 20 - MD5 | 22 - NAMESPACE | 29 + R/main.R | 652 ++++++++++++++++++++++++++++----- man/confint_contrast.Rd |only man/estimate_confint_contrast.Rd |only man/estimate_contrast.Rd |only man/fixcoef.Rd | 1 man/glmglrt.Rd | 7 man/p_value.glm.Rd | 2 man/p_value_contrast.Rd | 41 +- man/ps_newtonRaphson.Rd |only tests/testthat/test-confint_contrast.R |only tests/testthat/test-summary.R | 20 - 15 files changed, 663 insertions(+), 131 deletions(-)
Title: Bayesian Preference Learning with the Mallows Rank Model
Description: An implementation of the Bayesian version of the Mallows rank model
(Vitelli et al., Journal of Machine Learning Research, 2018 <http://jmlr.org/papers/v18/15-481.html>;
Crispino et al., Annals of Applied Statistics, 2019 <doi:10.1214/18-AOAS1203>). Both Cayley, footrule,
Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be
analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well
as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the
posterior distributions of parameters are provided. The package also provides functions for estimating
the partition function (normalizing constant) of the Mallows rank model, both with the importance
sampling algorithm of Vitelli et al. and asymptotic approximation with the IPFP algorithm
(Mukherjee, Annals of Statistics, 2016 <doi:10.1214/15-AOS1389>).
Author: Oystein Sorensen, Valeria Vitelli, Marta Crispino, Qinghua Liu
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>
Diff between BayesMallows versions 0.4.3 dated 2020-06-20 and 0.4.4 dated 2020-08-07
DESCRIPTION | 12 +++---- MD5 | 20 ++++++------ NEWS.md | 4 ++ R/plot_top_k.R | 8 ++-- R/predict_top_k.R | 12 +++---- build/partial.rdb |binary build/vignette.rds |binary inst/REFERENCES.bib | 20 +++++------- man/figures/README-unnamed-chunk-5-1.png |binary man/figures/README-unnamed-chunk-6-1.png |binary tests/testthat/test_plot_top_k.R | 50 +++++++++++++++++++++++++++++++ 11 files changed, 88 insertions(+), 38 deletions(-)
Title: Robust Bayesian Meta-Analyses
Description: A framework for estimating ensembles of meta-analytic models
(assuming either presence or absence of the effect, heterogeneity, and
publication bias) and using Bayesian model averaging to combine them. The
ensembles use Bayes Factors to test for the presence or absence of the
individual components (e.g., effect vs. no effect) and model-averages
parameter estimates based on posterior model probabilities
(Maier, Bartoš & Wagenmakers, 2020, <doi:10.31234/osf.io/u4cns>). The user can
define a wide range of non-informative or informative priors for the
effect size, heterogeneity, and weight functions. The package provides
convenient functions for summary, visualizations, and fit diagnostics.
Author: František Bartoš [aut, cre] (<https://orcid.org/0000-0002-0018-5573>),
Maximilian Maier [aut] (<https://orcid.org/0000-0002-9873-6096>),
Eric-Jan Wagenmakers [ths] (<https://orcid.org/0000-0003-1596-1034>),
Joris Goosen [ctb]
Maintainer: František Bartoš <f.bartos96@gmail.com>
Diff between RoBMA versions 1.0.3 dated 2020-08-06 and 1.0.4 dated 2020-08-07
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++-------- NEWS.md | 4 ++++ R/main.R | 3 ++- R/zzz.R | 7 +++++-- build/partial.rdb |binary inst/doc/CustomEnsembles.html | 4 ++-- inst/doc/ReproducingBMA.html | 4 ++-- inst/doc/WarningsAndErrors.html | 4 ++-- 9 files changed, 28 insertions(+), 20 deletions(-)
Title: Features Extracted from Position Specific Scoring Matrix (PSSM)
Description: Returns almost all features that has been extracted from Position Specific
Scoring Matrix (PSSM) so far, which is a matrix of L rows (L is protein length)
and 20 columns produced by 'PSI-BLAST' which is a program to produce
PSSM Matrix from multiple sequence alignment of proteins
see <https://www.ncbi.nlm.nih.gov/books/NBK2590/> for mor details. some
of these features are described in Zahiri, J., et al.(2013)
<DOI:10.1016/j.ygeno.2013.05.006>,
Saini, H., et al.(2016)
<DOI:10.17706/jsw.11.8.756-767>,
Ding, S., et al.(2014)
<DOI:10.1016/j.biochi.2013.09.013>,
Cheng, C.W., et al.(2008)
<DOI:10.1186/1471-2105-9-S12-S6>,
Juan, E.Y., et al.(2009)
<DOI:10.1109/CISIS.2009.194>.
Author: Alireza Mohammadi <alireza691111@gmail.com>
Maintainer: Alireza mohammadi <alireza691111@gmail.com>
Diff between PSSMCOOL versions 0.1.0 dated 2020-05-08 and 0.2.0 dated 2020-08-07
DESCRIPTION | 10 ++-- MD5 | 28 ++++++++----- NAMESPACE | 5 +- R/DISSULFID.R | 2 R/DMACA-PSSM.R | 2 R/FPSSM.R | 89 +++++++++++++++++++++++++++++++++----------- R/Grey_PSSM_PseAAC.R | 5 +- R/SCSH.R |only man/DFMCA_PSSM.Rd | 2 man/FPSSM.Rd | 6 +- man/FPSSM2.Rd | 6 +- man/PSSMCOOL-package.Rd |only man/disulfid.Rd | 2 man/k_mers.Rd |only man/scsh2.Rd |only man/three_mer.Rd |only tests/testthat/test-FPSSM.R | 8 +-- tests/testthat/test-SCSH.R |only 18 files changed, 113 insertions(+), 52 deletions(-)
Title: Compare Models with Cross-Validated Log-Likelihood
Description: An implementation of the cross-validated difference in means (CVDM) test by Desmarais and Harden (2014) <doi:10.1007/s11135-013-9884-7> (see also Harden and Desmarais, 2011 <doi:10.1177/1532440011408929>) and the cross-validated median fit (CVMF) test by Desmarais and Harden (2012) <doi:10.1093/pan/mpr042>. These tests use leave-one-out cross-validated log-likelihoods to assist in selecting among model estimations. You can also utilize data from Golder (2010) <doi:10.1177/0010414009341714> and Joshi & Mason (2008) <doi:10.1177/0022343308096155> that are included to facilitate examples from real-world analysis.
Author: Shana Scogin <shanarscogin@gmail.com>, Sarah Petersen <sarahllpetersen@gmail.com>, Jeff Harden <jeff.harden@nd.edu>, Bruce A. Desmarais <bdesmarais@psu.edu>
Maintainer: Shana Scogin <shanarscogin@gmail.com>
Diff between modeLLtest versions 1.0.2 dated 2020-06-11 and 1.0.3 dated 2020-08-07
DESCRIPTION | 11 ++++++----- MD5 | 32 ++++++++++++++++---------------- NEWS.md | 4 ++++ R/govtform_data.R | 13 +++++++++---- R/modeLLtest.R | 18 +++++++++--------- R/nepaldem_data.R | 5 ++++- build/vignette.rds |binary inst/doc/getting_started.R | 8 +++----- inst/doc/getting_started.Rmd | 11 +++++++---- inst/doc/getting_started.html | 32 ++++++++++++++++++++------------ man/cvdm.Rd | 11 +++++++++-- man/cvll.Rd | 10 ++++++++-- man/cvmf.Rd | 14 +++++++++++--- man/govtform.Rd | 11 ++++++++--- man/modeLLtest.Rd | 23 +++++++++-------------- man/nepaldem.Rd | 9 ++++++--- vignettes/getting_started.Rmd | 11 +++++++---- 17 files changed, 136 insertions(+), 87 deletions(-)
Title: Hierarchical Bayesian ANOVA Models
Description: It covers several Bayesian Analysis of Variance (BANOVA) models used in analysis of experimental designs in which both within- and between- subjects factors are manipulated. They can be applied to data that are common in the behavioral and social sciences. The package includes: Hierarchical Bayes ANOVA models with normal response, t response, Binomial (Bernoulli) response, Poisson response, ordered multinomial response and multinomial response variables. All models accommodate unobserved heterogeneity by including a normal distribution of the parameters across individuals. Outputs of the package include tables of sums of squares, effect sizes and p-values, and tables of predictions, which are easily interpretable for behavioral and social researchers. The floodlight analysis and mediation analysis based on these models are also provided. BANOVA uses 'Stan' and 'JAGS' as the computational platform.
Author: Chen Dong, Michel Wedel, Anna Kopyakova
Maintainer: Chen Dong <cdong@math.umd.edu>
Diff between BANOVA versions 1.1.7 dated 2020-05-04 and 1.1.8 dated 2020-08-07
DESCRIPTION | 12 MD5 | 265 +-- NAMESPACE | 92 - NEWS | 182 +- R/BANOVA.Bern.R | 16 R/BANOVA.Bin.R | 16 R/BANOVA.Multinomial.R | 16 R/BANOVA.Normal.R | 16 R/BANOVA.Poisson.R | 16 R/BANOVA.T.R | 16 R/BANOVA.build.R | 38 R/BANOVA.floodlight.R | 104 - R/BANOVA.mediation.R | 962 ++++++------- R/BANOVA.model.R | 62 R/BANOVA.ordMultinomial.R | 16 R/BANOVA.run.R | 1154 ++++++++-------- R/BANOVA.simple.R |only R/BAnova.R | 22 R/JAGSgen.PNormal.R | 280 +-- R/JAGSgen.bernNormal.R | 264 +-- R/JAGSgen.binNormal.R | 266 +-- R/JAGSgen.multiNormal.R | 282 +-- R/JAGSgen.normalNormal.R | 298 ++-- R/JAGSgen.ordmultiNormal.R | 358 ++--- R/cal.flood.effects.R | 1206 ++++++++-------- R/cal.mediation.effects.R | 404 ++--- R/cal.mediation.effects.individual.R | 238 +-- R/conv.diag.R | 38 R/conv.geweke.heidel.R | 82 - R/design.matrix.R | 254 +-- R/effect.matrix.factor.R | 108 - R/effect.matrix.interaction.R | 154 +- R/effect.matrix.mediator.R | 248 +-- R/est.R | 196 +- R/est.multi.R | 112 - R/floodlight.analysis.R | 468 +++--- R/get.interactions.R | 60 R/get.values.R | 52 R/mean.center.R | 18 R/multi.design.matrix.R | 608 ++++---- R/multi.effect.matrix.factor.R | 104 - R/multi.effect.matrix.interaction.R | 166 +- R/multi.predict.means.R | 244 +-- R/multi.print.table.means.R | 1788 ++++++++++++------------- R/pValues.R | 26 R/pairs.R | 32 R/predict.BANOVA.Bern.R | 12 R/predict.BANOVA.Bin.R | 12 R/predict.BANOVA.Poisson.R | 22 R/predict.BANOVA.R | 74 - R/predict.means.R | 434 +++--- R/print.BANOVA.Bern.R | 16 R/print.BANOVA.Bin.R | 16 R/print.BANOVA.R | 10 R/print.BANOVA.floodlight.R | 42 R/print.BANOVA.mediation.R | 34 R/print.BANOVA.ordMultinomial.R | 20 R/print.ancova.effect.R | 14 R/print.conv.diag.R | 28 R/print.summary.BANOVA.Bern.R | 40 R/print.summary.BANOVA.Bin.R | 40 R/print.summary.BANOVA.Multinomial.R | 40 R/print.summary.BANOVA.Normal.R | 40 R/print.summary.BANOVA.Poisson.R | 40 R/print.summary.BANOVA.R | 60 R/print.summary.BANOVA.T.R | 40 R/print.summary.BANOVA.ordMultinomial.R | 40 R/printCoefmat.R | 12 R/ssquares.R | 70 R/summary.BANOVA.Bern.R | 16 R/summary.BANOVA.Bin.R | 16 R/summary.BANOVA.Multinomial.R | 16 R/summary.BANOVA.Normal.R | 16 R/summary.BANOVA.Poisson.R | 16 R/summary.BANOVA.R | 28 R/summary.BANOVA.T.R | 16 R/summary.BANOVA.ordMultinomial.R | 16 R/table.ANCOVA.R | 650 ++++----- R/table.coefficients.R | 128 - R/table.predictions.R | 280 +-- R/table.pvalue.R | 46 R/trace.plot.R | 34 R/traceplot.R | 40 R/util.R | 108 - README.md |only build/vignette.rds |binary inst/CITATION | 36 inst/doc/banova_examples.R | 776 +++++----- inst/doc/banova_examples.Rmd | 956 ++++++------- inst/doc/banova_examples.html | 1258 ++++++++++------- inst/stan/Bernoulli_Normal.stan | 92 - inst/stan/Binomial_Normal.stan | 96 - inst/stan/Multinomial_Normal.stan | 84 - inst/stan/Multinomial_Normal_slow.stan | 96 - inst/stan/Normal_Normal.stan | 104 - inst/stan/Poisson_Normal.stan | 92 - inst/stan/T_Normal.stan | 114 - inst/stan/ordMultinomial_Normal.stan | 106 - inst/stan/ordMultinomial_Normal_dirichlet.stan | 102 - inst/stan/single_Bernoulli.stan | 56 inst/stan/single_Binomial.stan | 60 inst/stan/single_Multinomial.stan | 56 inst/stan/single_Normal.stan | 70 inst/stan/single_Poisson.stan | 56 inst/stan/single_T.stan | 76 - inst/stan/single_ordMultinomial.stan | 70 man/BANOVA-package.Rd | 130 - man/BANOVA.Bernoulli.Rd | 176 +- man/BANOVA.Binomial.Rd | 188 +- man/BANOVA.Multinomial.Rd | 208 +- man/BANOVA.Normal.Rd | 188 +- man/BANOVA.Poisson.Rd | 192 +- man/BANOVA.T.Rd | 176 +- man/BANOVA.floodlight.Rd | 122 - man/BANOVA.mediation.Rd | 156 +- man/BANOVA.model.Rd | 66 man/BANOVA.ordMultinomial.Rd | 200 +- man/BANOVA.run.Rd | 206 +- man/BANOVA.simple.Rd |only man/BAnova.Rd | 118 - man/bpndata.Rd | 132 - man/choicedata.Rd | 132 - man/colorad.Rd | 94 - man/colorad2.Rd | 92 - man/condstudy.Rd | 100 - man/condstudy_sub.Rd | 84 - man/conv.diag.Rd | 108 - man/goalstudy.Rd | 84 - man/ipadstudy.Rd | 96 - man/pairs.BANOVA.Rd | 68 man/table.predictions.Rd | 56 man/table.pvalues.Rd | 94 - man/trace.plot.Rd | 58 src/install.libs.R | 182 +- vignettes/banova_examples.Rmd | 956 ++++++------- 135 files changed, 11521 insertions(+), 11238 deletions(-)
Title: Global Sensitivity Analysis of Model Outputs
Description: A collection of functions for factor screening, global sensitivity analysis and robustness analysis. Most of the functions have to be applied on model with scalar output, but several functions support multi-dimensional outputs.
Author: Bertrand Iooss, Sebastien Da Veiga, Alexandre Janon and Gilles Pujol, with contributions from Baptiste Broto, Khalid Boumhaout, Thibault Delage, Reda El Amri, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Loic Le Gratiet, Paul Lemaitre, Amandine Marrel, Anouar Meynaoui, Barry L. Nelson, Filippo Monari, Roelof Oomen, Oldrich Rakovec, Bernardo Ramos, Olivier Roustant, Eunhye Song, Jeremy Staum, Roman Sueur, Taieb Touati, Frank Weber
Maintainer: Bertrand Iooss <biooss@yahoo.fr>
Diff between sensitivity versions 1.22.0 dated 2020-07-18 and 1.22.1 dated 2020-08-07
DESCRIPTION | 12 ++--- MD5 | 12 ++--- NEWS | 8 +++ R/sensiHSIC.R | 69 +++++++++++++++++------------- man/sensiHSIC.Rd | 95 +++++++++++++++++++----------------------- man/shapleyBlockEstimation.Rd | 14 +++--- src/nested.cpp | 5 +- 7 files changed, 115 insertions(+), 100 deletions(-)
Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ' library. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (including 'GDAL', 'PROJ' and their dependencies) are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>),
Tim Keitt [aut],
Barry Rowlingson [aut, ctb],
Edzer Pebesma [ctb],
Michael Sumner [ctb],
Robert Hijmans [ctb],
Even Rouault [cph, ctb],
Frank Warmerdam [cph, ctb],
Jeroen Ooms [ctb],
Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Diff between rgdal versions 1.5-15 dated 2020-08-04 and 1.5-16 dated 2020-08-07
ChangeLog | 21 +++++++++++++++++++++ DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- R/project.R | 14 +++++++++----- configure | 18 +++++++++--------- inst/ChangeLog | 21 +++++++++++++++++++++ inst/SVN_VERSION | 2 +- inst/doc/CRS_projections_transformations.html | 14 +++++++------- inst/doc/OGR_shape_encoding.pdf |binary inst/doc/PROJ6_GDAL3.html | 14 +++++++------- src/projectit.cpp | 2 +- 11 files changed, 90 insertions(+), 44 deletions(-)
Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving,
viewing, visualizing, summarizing, transforming, and combining data. It also
contains functionality to generate reproducible reports of the analyses
conducted in the application.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>
Diff between radiant.data versions 1.3.9 dated 2020-06-16 and 1.3.10 dated 2020-08-07
DESCRIPTION | 18 - MD5 | 46 ++-- NEWS.md | 7 R/radiant.R | 8 R/view.R | 6 R/visualize.R | 2 README.md | 10 inst/app/global.R | 6 inst/app/tools/app/about.md | 10 inst/app/tools/app/report_funs.R | 2 inst/app/tools/app/report_r.R | 2 inst/app/tools/app/report_rmd.R | 4 inst/app/tools/data/transform_ui.R | 2 inst/app/tools/help/manage.html | 4 inst/app/tools/help/manage.md | 4 inst/app/tools/help/pivotr.md | 4 inst/app/tools/help/report_rmd.Rmd | 2 inst/app/tools/help/report_rmd.md | 2 inst/app/www/js/message-handler.js | 2 man/dtab.data.frame.Rd | 2 man/launch.Rd | 2 man/qterms.Rd | 4 man/visualize.Rd | 4 tests/testthat/test_funs.R | 396 ++++++++++++++++++------------------- 24 files changed, 279 insertions(+), 270 deletions(-)
Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the
building blocks of machine learning. Provides 'R6' objects for tasks,
learners, resamplings, and measures. The package is geared towards
scalability and larger datasets by supporting parallelization and
out-of-memory data-backends like databases. While 'mlr3' focuses on
the core computational operations, add-on packages provide additional
functionality.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>),
Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>),
Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>),
Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>),
Giuseppe Casalicchio [ctb] (<https://orcid.org/0000-0001-5324-5966>),
Stefan Coors [ctb] (<https://orcid.org/0000-0002-7465-2146>),
Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>),
Martin Binder [aut]
Maintainer: Michel Lang <michellang@gmail.com>
Diff between mlr3 versions 0.4.0 dated 2020-07-22 and 0.5.0 dated 2020-08-07
DESCRIPTION | 15 - MD5 | 105 ++++---- NAMESPACE | 1 NEWS.md | 10 R/LearnerClassifRpart.R | 5 R/LearnerRegr.R | 1 R/LearnerRegrRpart.R | 7 R/MeasureRegr.R | 2 R/PredictionRegr.R | 72 ++++- R/ResampleResult.R | 2 R/Resampling.R | 5 R/ResamplingCV.R | 3 R/ResamplingLOO.R |only R/TaskClassif_breast_cancer.R |only R/TaskGeneratorMoons.R | 5 R/mlr_reflections.R | 2 README.md | 327 +++++++++++++------------ build/partial.rdb |binary inst/testthat/helper_expectations.R | 7 man/LearnerRegr.Rd | 1 man/MeasureRegr.Rd | 2 man/PredictionRegr.Rd | 13 man/Resampling.Rd | 2 man/Task.Rd | 1 man/TaskClassif.Rd | 1 man/TaskRegr.Rd | 1 man/TaskSupervised.Rd | 1 man/TaskUnsupervised.Rd | 1 man/mlr_learners_classif.rpart.Rd | 2 man/mlr_learners_regr.rpart.Rd | 3 man/mlr_resamplings.Rd | 1 man/mlr_resamplings_bootstrap.Rd | 1 man/mlr_resamplings_custom.Rd | 1 man/mlr_resamplings_cv.Rd | 5 man/mlr_resamplings_holdout.Rd | 1 man/mlr_resamplings_insample.Rd | 1 man/mlr_resamplings_loo.Rd |only man/mlr_resamplings_repeated_cv.Rd | 1 man/mlr_resamplings_subsampling.Rd | 1 man/mlr_task_generators_moons.Rd | 2 man/mlr_tasks.Rd | 1 man/mlr_tasks_boston_housing.Rd | 1 man/mlr_tasks_breast_cancer.Rd |only man/mlr_tasks_german_credit.Rd | 1 man/mlr_tasks_iris.Rd | 1 man/mlr_tasks_mtcars.Rd | 1 man/mlr_tasks_pima.Rd | 1 man/mlr_tasks_sonar.Rd | 1 man/mlr_tasks_spam.Rd | 1 man/mlr_tasks_wine.Rd | 1 man/mlr_tasks_zoo.Rd | 1 tests/testthat/test_PredictionClassif.R | 3 tests/testthat/test_PredictionRegr.R | 25 + tests/testthat/test_benchmark.R | 4 tests/testthat/test_mlr_resampling_bootstrap.R | 18 + tests/testthat/test_mlr_resampling_loo.R |only 56 files changed, 428 insertions(+), 243 deletions(-)
Title: A Package for Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in
the Lexis diagram, i.e. register and cohort follow-up data, in
particular representation, manipulation and simulation of multistate
data - the Lexis suite of functions, which includes interfaces to
'mstate', 'etm' and 'cmprsk' packages.
Also contains functions for Age-Period-Cohort and Lee-Carter
modeling and a function for interval censored data and some useful
functions for tabulation and plotting, as well as a number of
epidemiological data sets.
Author: Bendix Carstensen [aut, cre],
Martyn Plummer [aut],
Esa Laara [ctb],
Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>
Diff between Epi versions 2.40 dated 2019-11-25 and 2.41 dated 2020-08-07
Epi-2.40/Epi/man/crr.Lexis.rd |only Epi-2.40/Epi/man/expand.data.rd |only Epi-2.40/Epi/man/fit.baseline.rd |only Epi-2.40/Epi/man/plotevent.rd |only Epi-2.40/Epi/man/projection.ip.rd |only Epi-2.40/Epi/man/summary.Lexis.rd |only Epi-2.41/Epi/CHANGES | 9 Epi-2.41/Epi/DESCRIPTION | 8 Epi-2.41/Epi/MD5 | 132 +++---- Epi-2.41/Epi/R/addCov.Lexis.R | 10 Epi-2.41/Epi/R/ccwc.R | 10 Epi-2.41/Epi/R/ci.lin.R | 2 Epi-2.41/Epi/R/erl.R | 1 Epi-2.41/Epi/R/mod.Lexis.R | 49 +- Epi-2.41/Epi/data/B.dk.rda |binary Epi-2.41/Epi/inst/doc/flup.pdf |binary Epi-2.41/Epi/inst/doc/simLexis.R | 16 Epi-2.41/Epi/inst/doc/simLexis.pdf |binary Epi-2.41/Epi/inst/doc/yll.R | 16 Epi-2.41/Epi/inst/doc/yll.pdf |binary Epi-2.41/Epi/man/DMlate.Rd | 10 Epi-2.41/Epi/man/Icens.Rd | 2 Epi-2.41/Epi/man/N2Y.Rd | 23 - Epi-2.41/Epi/man/Y.dk.Rd | 12 Epi-2.41/Epi/man/births.Rd | 1 Epi-2.41/Epi/man/ci.lin.Rd | 10 Epi-2.41/Epi/man/crr.Lexis.Rd |only Epi-2.41/Epi/man/cutLexis.Rd | 16 Epi-2.41/Epi/man/expand.data.Rd |only Epi-2.41/Epi/man/fit.add.Rd | 2 Epi-2.41/Epi/man/fit.baseline.Rd |only Epi-2.41/Epi/man/fit.mult.Rd | 2 Epi-2.41/Epi/man/mod.Lexis.Rd | 22 - Epi-2.41/Epi/man/ncut.Rd | 2 Epi-2.41/Epi/man/plotevent.Rd |only Epi-2.41/Epi/man/projection.ip.Rd |only Epi-2.41/Epi/man/summary.Lexis.Rd |only Epi-2.41/Epi/vignettes/flup-Ieff.pdf |binary Epi-2.41/Epi/vignettes/flup-IeffR.pdf |binary Epi-2.41/Epi/vignettes/flup-RR-int.pdf |binary Epi-2.41/Epi/vignettes/flup-box1.pdf |binary Epi-2.41/Epi/vignettes/flup-box4.pdf |binary Epi-2.41/Epi/vignettes/flup-dmL1.pdf |binary Epi-2.41/Epi/vignettes/flup-dmL2.pdf |binary Epi-2.41/Epi/vignettes/flup-dur-int-RR.pdf |binary Epi-2.41/Epi/vignettes/flup-dur-int.pdf |binary Epi-2.41/Epi/vignettes/flup-ins-time.pdf |binary Epi-2.41/Epi/vignettes/flup-mbox.pdf |binary Epi-2.41/Epi/vignettes/flup-mboxr.pdf |binary Epi-2.41/Epi/vignettes/flup-pr-a.pdf |binary Epi-2.41/Epi/vignettes/flup-sep-HR.pdf |binary Epi-2.41/Epi/vignettes/flup-sep-mort.pdf | 6 Epi-2.41/Epi/vignettes/flup-splint.pdf |binary Epi-2.41/Epi/vignettes/flup.pdf |binary Epi-2.41/Epi/vignettes/flup.rwl | 8 Epi-2.41/Epi/vignettes/flup.tex | 67 +-- Epi-2.41/Epi/vignettes/simLexis-boxes.pdf |binary Epi-2.41/Epi/vignettes/simLexis-comp-0.pdf |binary Epi-2.41/Epi/vignettes/simLexis-mort-int.pdf |binary Epi-2.41/Epi/vignettes/simLexis-pstate0.pdf |binary Epi-2.41/Epi/vignettes/simLexis-pstatex.pdf |binary Epi-2.41/Epi/vignettes/simLexis-pstatey.pdf |binary Epi-2.41/Epi/vignettes/simLexis.R | 16 Epi-2.41/Epi/vignettes/simLexis.pdf |binary Epi-2.41/Epi/vignettes/simLexis.rwl |only Epi-2.41/Epi/vignettes/simLexis.tex | 492 ++++++++++----------------- Epi-2.41/Epi/vignettes/yll-imm.pdf |binary Epi-2.41/Epi/vignettes/yll-states.pdf |binary Epi-2.41/Epi/vignettes/yll-sus.pdf |binary Epi-2.41/Epi/vignettes/yll-tot.pdf |binary Epi-2.41/Epi/vignettes/yll.R | 16 Epi-2.41/Epi/vignettes/yll.pdf |binary Epi-2.41/Epi/vignettes/yll.rwl |only Epi-2.41/Epi/vignettes/yll.tex | 318 ++++++----------- 74 files changed, 578 insertions(+), 700 deletions(-)
Title: Storage Management in 'Azure'
Description: Manage storage in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/services/storage>. On the admin side, 'AzureStor' includes features to create, modify and delete storage accounts. On the client side, it includes an interface to blob storage, file storage, and 'Azure Data Lake Storage Gen2': upload and download files and blobs; list containers and files/blobs; create containers; and so on. Authenticated access to storage is supported, via either a shared access key or a shared access signature (SAS). Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre],
Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>
Diff between AzureStor versions 3.2.2 dated 2020-07-01 and 3.2.3 dated 2020-08-07
DESCRIPTION | 9 +++++---- MD5 | 11 ++++++----- NEWS.md | 5 +++++ R/sas.R | 4 ++-- R/storage_utils.R | 7 ++++++- README.md | 9 +++------ tests/testthat/test11_enc.R |only 7 files changed, 27 insertions(+), 18 deletions(-)