Title: Threshold Selection and Uncertainty for Extreme Value Analysis
Description: Provides functions for the selection of thresholds for use in
extreme value models, based mainly on the methodology in
Northrop, Attalides and Jonathan (2017) <doi:10.1111/rssc.12159>.
It also performs predictive inferences about future extreme values,
based either on a single threshold or on a weighted average of inferences
from multiple thresholds, using the 'revdbayes' package
<https://cran.r-project.org/package=revdbayes>.
At the moment only the case where the data can be treated as
independent identically distributed observations is considered.
Author: Paul J. Northrop [aut, cre, cph],
Nicolas Attalides [aut]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Diff between threshr versions 1.0.2 dated 2020-09-05 and 1.0.3 dated 2020-09-14
DESCRIPTION | 8 +++--- MD5 | 12 ++++----- NEWS.md | 6 ++++ build/vignette.rds |binary inst/doc/threshr-vignette.html | 20 ++++++++++++++- tests/testthat/test-box_cox.R | 18 +++++--------- tests/testthat/test-inv_box_cox.R | 48 +++++++++++++++----------------------- 7 files changed, 60 insertions(+), 52 deletions(-)
Title: Import XY-Data into R
Description: Provides access to the 'xylib' C library for to import xy
data from powder diffraction, spectroscopy and other experimental methods.
Author: Sebastian Kreutzer [aut, trl, cre]
(<https://orcid.org/0000-0002-0734-2199>),
Johannes Friedrich [aut] (<https://orcid.org/0000-0002-0805-9547>),
RLum Team [ctb],
Marcin Wojdyr [cph] (C++ library 'xylib'),
Peng Zhang [cph] (C++ library 'xylib')
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@aber.ac.uk>
Diff between rxylib versions 0.2.4 dated 2019-06-05 and 0.2.6 dated 2020-09-14
DESCRIPTION | 23 +- MD5 | 33 ++-- NEWS.md | 18 +- R/methods_rxylib.R | 4 R/read_xyData.R | 2 R/rxylib.R | 4 README.md | 33 +--- inst/WORDLIST |only inst/include/xylib/util.h | 6 man/convert_xy2TKA.Rd | 2 man/methods_rxylib.Rd | 4 man/read_xyData.Rd | 4 man/rxylib-package.Rd | 6 src/xylib/bruker_spc.cpp | 72 ++++----- src/xylib/rigaku_dat.cpp | 2 src/xylib/util.cpp | 49 +++++- src/xylib/uxd.cpp | 2 src/xylib/xsyg.cpp | 353 ++++++++++++---------------------------------- 18 files changed, 243 insertions(+), 374 deletions(-)
Title: An API Generator for R
Description: Gives the ability to automatically generate and serve an HTTP API
from R functions using the annotations in the R documentation around your
functions.
Author: Barret Schloerke [cre, aut],
Jeff Allen [aut, ccp],
Bruno Tremblay [ctb],
Frans van Dunné [ctb],
Sebastiaan Vandewoude [ctb],
RStudio [cph, fnd]
Maintainer: Barret Schloerke <barret@rstudio.com>
Diff between plumber versions 0.4.6 dated 2018-06-05 and 1.0.0 dated 2020-09-14
plumber-0.4.6/plumber/R/cookie-parser.R |only plumber-0.4.6/plumber/R/images.R |only plumber-0.4.6/plumber/R/parse-block.R |only plumber-0.4.6/plumber/R/parse-globals.R |only plumber-0.4.6/plumber/R/post-body.R |only plumber-0.4.6/plumber/R/query-string.R |only plumber-0.4.6/plumber/R/response.R |only plumber-0.4.6/plumber/R/serializer-content-type.R |only plumber-0.4.6/plumber/R/serializer-html.R |only plumber-0.4.6/plumber/R/serializer-htmlwidget.R |only plumber-0.4.6/plumber/R/serializer-json.R |only plumber-0.4.6/plumber/R/serializer-xml.R |only plumber-0.4.6/plumber/R/swagger.R |only plumber-0.4.6/plumber/inst/examples |only plumber-0.4.6/plumber/inst/hosted |only plumber-0.4.6/plumber/inst/hosted-new.R |only plumber-0.4.6/plumber/inst/server |only plumber-0.4.6/plumber/inst/swagger-ui |only plumber-0.4.6/plumber/man/addSerializer.Rd |only plumber-0.4.6/plumber/man/do_configure_https.Rd |only plumber-0.4.6/plumber/man/do_deploy_api.Rd |only plumber-0.4.6/plumber/man/do_forward.Rd 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Title: Marks Periods of 'Bedrest' in Actigraph Accelerometer Data
Description: Contains a function to categorize accelerometer readings collected in free-living (e.g., for 24 hours/day for 7 days), preprocessed and compressed as counts (unit-less value) in a specified time period termed epoch (e.g., 1 minute) as either bedrest (sleep) or active. The input is a matrix with a timestamp column and a column with number of counts per epoch. The output is the same dataframe with an additional column termed bedrest. In the bedrest column each line (epoch) contains a function-generated classification 'br' or 'a' denoting bedrest/sleep and activity, respectively. The package is designed to be used after wear/nonwear marking function in the 'PhysicalActivity' package. Version 1.1 adds preschool thresholds and corrects for possible errors in algorithm implementation.
Author: J. Dustin Tracy, Zhiyi Xu, Sari Acra, Kong Y. Chen, Maciej S. Buchowski, Thomas Donnelly
Maintainer: J. Dustin Tracy <tracy@chapman.edu>
Diff between PhysActBedRest versions 1.0 dated 2016-04-06 and 1.1 dated 2020-09-14
PhysActBedRest-1.0/PhysActBedRest/data/datalist |only PhysActBedRest-1.0/PhysActBedRest/data/wa_ps_V811043_ts.csv.xz |only PhysActBedRest-1.0/PhysActBedRest/data/wr_ad_lb1499_ts.csv.xz |only PhysActBedRest-1.0/PhysActBedRest/man/wa_ps_V811043_ts.Rd |only PhysActBedRest-1.0/PhysActBedRest/man/wr_ad_lb1499_ts.Rd |only PhysActBedRest-1.1/PhysActBedRest/DESCRIPTION | 16 PhysActBedRest-1.1/PhysActBedRest/MD5 | 17 PhysActBedRest-1.1/PhysActBedRest/R/markbedrest.R | 197 ++++------ PhysActBedRest-1.1/PhysActBedRest/data/wr_ad_lb1499.csv.gz |only PhysActBedRest-1.1/PhysActBedRest/data/zPhysActBedRest.RData |binary PhysActBedRest-1.1/PhysActBedRest/man/markbedrest.Rd | 75 +-- PhysActBedRest-1.1/PhysActBedRest/man/wr_ad_lb1499.Rd |only PhysActBedRest-1.1/PhysActBedRest/man/zPhysActBedRest-data.Rd | 2 13 files changed, 145 insertions(+), 162 deletions(-)
More information about PhysActBedRest at CRAN
Permanent link
Title: Penalized Elastic Net S/MM-Estimator of Regression
Description: Robust penalized (adaptive) elastic net S and M estimators for
linear regression. The methods are proposed in
Cohen Freue, G. V., Kepplinger, D., Salibián-Barrera, M., and Smucler, E.
(2019) <https://projecteuclid.org/euclid.aoas/1574910036>.
The package implements the extensions and algorithms described in
Kepplinger, D. (2020) <doi:10.14288/1.0392915>.
Author: David Kepplinger [aut, cre],
Matías Salibián-Barrera [aut],
Gabriela Cohen Freue [aut]
Maintainer: David Kepplinger <david.kepplinger@gmail.com>
Diff between pense versions 1.2.9 dated 2020-02-09 and 2.0.1 dated 2020-09-14
pense-1.2.9/pense/R/additional-options.R |only pense-1.2.9/pense/R/build_lambda_grid.R |only pense-1.2.9/pense/R/mscale.R |only pense-1.2.9/pense/R/pen_s_reg.R |only pense-1.2.9/pense/R/pense.R |only pense-1.2.9/pense/R/pense_coldwarm.R |only pense-1.2.9/pense/R/pensem.R |only pense-1.2.9/pense/R/predict-methods.R |only pense-1.2.9/pense/R/prinsens.R |only pense-1.2.9/pense/README.md |only pense-1.2.9/pense/inst/COPYRIGHTS |only pense-1.2.9/pense/man/coef.elnetfit.Rd |only pense-1.2.9/pense/man/coef.pense.Rd |only pense-1.2.9/pense/man/en_options.Rd |only pense-1.2.9/pense/man/plot.cv_elnetfit.Rd |only pense-1.2.9/pense/man/plot.elnetfit.Rd |only pense-1.2.9/pense/man/plot.pense.Rd |only pense-1.2.9/pense/man/predict.elnetfit.Rd |only pense-1.2.9/pense/man/predict.pense.Rd |only pense-1.2.9/pense/man/residuals.elnetfit.Rd |only pense-1.2.9/pense/man/residuals.pense.Rd |only pense-1.2.9/pense/src/BLAS.h |only pense-1.2.9/pense/src/Data.hpp |only pense-1.2.9/pense/src/ENDal.cpp |only pense-1.2.9/pense/src/ENDal.hpp |only pense-1.2.9/pense/src/ENLars.cpp |only pense-1.2.9/pense/src/ENLars.hpp |only pense-1.2.9/pense/src/ElasticNet.cpp |only pense-1.2.9/pense/src/ElasticNet.hpp |only pense-1.2.9/pense/src/IRWEN.cpp |only pense-1.2.9/pense/src/IRWEN.hpp |only pense-1.2.9/pense/src/InitialEstimator.cpp |only pense-1.2.9/pense/src/InitialEstimator.hpp |only pense-1.2.9/pense/src/LapackException.hpp |only pense-1.2.9/pense/src/MStep.cpp |only pense-1.2.9/pense/src/MStep.hpp |only pense-1.2.9/pense/src/Options.hpp |only pense-1.2.9/pense/src/PENSEreg.cpp |only pense-1.2.9/pense/src/PENSEreg.hpp |only pense-1.2.9/pense/src/PSCxx.cpp |only pense-1.2.9/pense/src/PSCxx.hpp |only pense-1.2.9/pense/src/PartialSort.c |only pense-1.2.9/pense/src/PartialSort.h |only pense-1.2.9/pense/src/Rinterface.cpp |only pense-1.2.9/pense/src/Rinterface.hpp |only pense-1.2.9/pense/src/autoconfig.h.in |only pense-1.2.9/pense/src/autoconfig.win.h |only pense-1.2.9/pense/src/config.h |only pense-1.2.9/pense/src/mscale.c |only pense-1.2.9/pense/src/mscale.h |only pense-1.2.9/pense/src/olsreg.c |only pense-1.2.9/pense/src/olsreg.h |only pense-1.2.9/pense/tests/testthat/enpy.old.R |only pense-1.2.9/pense/tests/testthat/test.0mad.R |only pense-1.2.9/pense/tests/testthat/test.elnet.auglars.R |only pense-1.2.9/pense/tests/testthat/test.elnet.dal.R |only pense-1.2.9/pense/tests/testthat/test.elnet.objective.R |only pense-1.2.9/pense/tests/testthat/test.enpy.rr.R |only pense-1.2.9/pense/tests/testthat/test.mscale.R |only pense-1.2.9/pense/tests/testthat/test.pscs.R |only pense-1.2.9/pense/tests/testthat/test.weighted.elnet.R |only pense-1.2.9/pense/tests/testthat/test_elnet_comp_dal_auglars.R |only pense-1.2.9/pense/tests/testthat/test_elnet_comp_dal_auglars_en.R |only pense-2.0.1/pense/DESCRIPTION | 48 pense-2.0.1/pense/LICENSE |only pense-2.0.1/pense/MD5 | 250 + pense-2.0.1/pense/NAMESPACE | 88 pense-2.0.1/pense/NEWS.md | 21 pense-2.0.1/pense/R/autoconfig.R.in |only pense-2.0.1/pense/R/autoconfig.win.R.in |only pense-2.0.1/pense/R/coef-methods.R | 479 +-- pense-2.0.1/pense/R/control_options.R |only pense-2.0.1/pense/R/deprecated-functions.R |only pense-2.0.1/pense/R/elnet.R | 950 ++----- pense-2.0.1/pense/R/enpy.R | 376 +- pense-2.0.1/pense/R/pense_pkg.R |only pense-2.0.1/pense/R/pense_regression.R |only pense-2.0.1/pense/R/pensem_regression.R |only pense-2.0.1/pense/R/plot-methods.R | 252 - pense-2.0.1/pense/R/print-methods.R |only pense-2.0.1/pense/R/regmest_regression.R |only pense-2.0.1/pense/R/residuals-methods.R | 229 + pense-2.0.1/pense/R/utilities-internal.R |only pense-2.0.1/pense/R/utilities.R | 648 ++--- pense-2.0.1/pense/build |only pense-2.0.1/pense/cleanup | 4 pense-2.0.1/pense/configure | 1277 +--------- pense-2.0.1/pense/configure.ac | 322 +- pense-2.0.1/pense/configure.win | 3 pense-2.0.1/pense/inst/COPYRIGHT |only pense-2.0.1/pense/man/coef.pense_cvfit.Rd |only pense-2.0.1/pense/man/coef.pense_fit.Rd |only pense-2.0.1/pense/man/consistency_const.Rd |only pense-2.0.1/pense/man/deprecated_en_options.Rd |only pense-2.0.1/pense/man/elnet.Rd | 248 - pense-2.0.1/pense/man/elnet_cv.Rd | 178 - pense-2.0.1/pense/man/en_admm_options.Rd |only pense-2.0.1/pense/man/en_algorithm_options.Rd |only pense-2.0.1/pense/man/en_dal_options.Rd |only pense-2.0.1/pense/man/en_lars_options.Rd |only pense-2.0.1/pense/man/en_ridge_options.Rd |only pense-2.0.1/pense/man/enpy.Rd | 107 pense-2.0.1/pense/man/enpy_initial_estimates.Rd |only pense-2.0.1/pense/man/enpy_options.Rd |only pense-2.0.1/pense/man/figures |only pense-2.0.1/pense/man/initest_options.Rd | 45 pense-2.0.1/pense/man/mloc.Rd |only pense-2.0.1/pense/man/mlocscale.Rd |only pense-2.0.1/pense/man/mm_algorithm_options.Rd |only pense-2.0.1/pense/man/mscale.Rd | 57 pense-2.0.1/pense/man/mscale_algorithm_options.Rd |only pense-2.0.1/pense/man/mstep_options.Rd | 30 pense-2.0.1/pense/man/pense.Rd | 337 +- pense-2.0.1/pense/man/pense_cv.Rd |only pense-2.0.1/pense/man/pense_options.Rd | 28 pense-2.0.1/pense/man/pensem.Rd | 206 - pense-2.0.1/pense/man/pensem_cv.Rd |only pense-2.0.1/pense/man/plot.pense_cvfit.Rd |only pense-2.0.1/pense/man/plot.pense_fit.Rd |only pense-2.0.1/pense/man/predict.pense_cvfit.Rd |only pense-2.0.1/pense/man/predict.pense_fit.Rd |only pense-2.0.1/pense/man/prediction_performance.Rd |only pense-2.0.1/pense/man/prinsens.Rd | 93 pense-2.0.1/pense/man/print.nsoptim_metrics.Rd |only pense-2.0.1/pense/man/regmest.Rd |only pense-2.0.1/pense/man/regmest_cv.Rd |only pense-2.0.1/pense/man/residuals.pense_cvfit.Rd |only pense-2.0.1/pense/man/residuals.pense_fit.Rd |only pense-2.0.1/pense/man/rho_function.Rd |only pense-2.0.1/pense/man/starting_point.Rd |only pense-2.0.1/pense/man/summary.pense_cvfit.Rd |only pense-2.0.1/pense/man/tau_size.Rd |only pense-2.0.1/pense/src/Makevars.in | 9 pense-2.0.1/pense/src/Makevars.win | 7 pense-2.0.1/pense/src/alias.hpp |only pense-2.0.1/pense/src/autoconfig.hpp.in |only pense-2.0.1/pense/src/autoconfig.hpp.win |only pense-2.0.1/pense/src/constants.hpp |only pense-2.0.1/pense/src/container_utility.hpp |only pense-2.0.1/pense/src/enpy_initest.cc |only pense-2.0.1/pense/src/enpy_initest.hpp |only pense-2.0.1/pense/src/enpy_psc.cc |only pense-2.0.1/pense/src/enpy_psc.hpp |only pense-2.0.1/pense/src/enpy_types.hpp |only pense-2.0.1/pense/src/m_loss.hpp |only pense-2.0.1/pense/src/nsoptim |only pense-2.0.1/pense/src/nsoptim.hpp |only pense-2.0.1/pense/src/nsoptim_forward.hpp |only pense-2.0.1/pense/src/omp_utils.hpp |only pense-2.0.1/pense/src/r_en_regression.cc |only pense-2.0.1/pense/src/r_en_regression.hpp |only pense-2.0.1/pense/src/r_enpy.cc |only pense-2.0.1/pense/src/r_enpy.hpp |only pense-2.0.1/pense/src/r_interface.cc |only pense-2.0.1/pense/src/r_interface_utils.cc |only pense-2.0.1/pense/src/r_interface_utils.hpp |only pense-2.0.1/pense/src/r_mesten_regression.cc |only pense-2.0.1/pense/src/r_mesten_regression.hpp |only pense-2.0.1/pense/src/r_pense_regression.cc |only pense-2.0.1/pense/src/r_pense_regression.hpp |only pense-2.0.1/pense/src/r_robust_utils.cc |only pense-2.0.1/pense/src/r_robust_utils.hpp |only pense-2.0.1/pense/src/r_utilities.cc |only pense-2.0.1/pense/src/r_utilities.hpp |only pense-2.0.1/pense/src/rcpp_integration.hpp |only pense-2.0.1/pense/src/rcpp_parse_config.cc |only pense-2.0.1/pense/src/rcpp_parse_config.hpp |only pense-2.0.1/pense/src/rcpp_utils.hpp |only pense-2.0.1/pense/src/rcpp_utils_forward.hpp |only pense-2.0.1/pense/src/regularization_path.hpp |only pense-2.0.1/pense/src/rho.cc |only pense-2.0.1/pense/src/rho.hpp |only pense-2.0.1/pense/src/robust_scale_location.cc |only pense-2.0.1/pense/src/robust_scale_location.hpp |only pense-2.0.1/pense/src/s_loss.hpp |only pense-2.0.1/pense/tests/testthat/test_elnet_algorithms.R |only pense-2.0.1/pense/tests/testthat/test_parallel_clusters.R |only 177 files changed, 2504 insertions(+), 3788 deletions(-)
Title: Latent Semantic Scaling
Description: A word embeddings-based semisupervised model for document scaling Watanabe (2017) <doi:10.1177/0267323117695735>.
LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove).
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>
Diff between LSX versions 0.9.0 dated 2020-09-09 and 0.9.1 dated 2020-09-14
DESCRIPTION | 10 +++++----- MD5 | 15 ++++++++------- R/textmodel.R | 11 ++++++----- man/char_keyness.Rd | 5 +++-- man/textmodel_lss.Rd | 6 +++--- tests/data |only tests/testthat/test-textmodel.R | 9 +++++++-- tests/testthat/test-textplot.R | 5 ++--- tests/testthat/test-utils.R | 5 ++--- 9 files changed, 36 insertions(+), 30 deletions(-)
Title: Raster Layers for 'ggplot2'
Description: Provides a set of geoms to rasterize only specific layers of the plot while simultaneously keeping all labels and text in vector format. This allows users to keep plots within the reasonable size limit without loosing vector properties of the scale-sensitive information.
Author: Viktor Petukhov [aut, cph],
Teun van den Brand [aut],
Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>
Diff between ggrastr versions 0.2.0 dated 2020-09-12 and 0.2.1 dated 2020-09-14
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++-------- R/geom-boxplot-jitter.R | 28 +++++++++++++--------------- README.md | 7 +++++-- inst/doc/Raster_geoms.R | 2 ++ inst/doc/Raster_geoms.Rmd | 2 ++ inst/doc/Raster_geoms.html | 12 +++++++----- man/geom_boxplot_jitter.Rd | 9 ++++++--- vignettes/Raster_geoms.Rmd | 2 ++ 9 files changed, 48 insertions(+), 36 deletions(-)
Title: Domain Specific MetaData Scheme
Description: Forms the core for developing own domain specific metadata schemes.
It contains the basic functionality needed for all metadata schemes based on the
'dmdScheme'. See R.M. Krug and O.L. Petchey (2019) <DOI:10.5281/zenodo.3581970>.
Author: Rainer M. Krug [aut, cre] (<https://orcid.org/0000-0002-7490-0066>),
Owen L. Petchey [ctb] (<https://orcid.org/0000-0002-7724-1633>)
Maintainer: Rainer M. Krug <Rainer.Krug@uzh.ch>
Diff between dmdScheme versions 1.2 dated 2020-06-12 and 1.2.4 dated 2020-09-14
DESCRIPTION | 18 MD5 | 36 NAMESPACE | 8 R/format_dmdScheme_xlsx.R | 24 R/write_excel.R | 2 build/vignette.rds |binary inst/doc/Develop_and_Use_the_dmdScheme.R | 50 inst/doc/Develop_and_Use_the_dmdScheme.Rmd | 281 inst/doc/Develop_and_Use_the_dmdScheme.html | 3831 ++++------ inst/shiny_apps/dmd_app/rsconnect/shinyapps.io/rmkrug/dmd_app.dcf | 4 man/format_dmdScheme_xlsx.Rd | 2 man/write_excel.Rd | 2 tests/testthat/test-05-format_dmdScheme_xlsx.R | 2 vignettes/Develop_and_Use_the_dmdScheme.Rmd | 281 vignettes/figs/Spreadsheet_01_MdBibliometric.pdf |only vignettes/figs/Spreadsheet_02_MdAuthor.pdf |only vignettes/figs/Spreadsheet_03_Experimentng.pdf |only vignettes/figs/Spreadsheet_04_Genus.pdf |only vignettes/figs/Spreadsheet_05_Treatment.pdf |only vignettes/figs/Spreadsheet_06_Measurement.pdf |only vignettes/figs/Spreadsheet_07_DataExtraction.pdf |only vignettes/figs/Spreadsheet_08_DataFileMetadata.pdf |only vignettes/figs/ValidationReport.pdf |only vignettes/figs/app.png.pdf |only 24 files changed, 2281 insertions(+), 2260 deletions(-)
Title: A Colour Picker Tool for Shiny and for Selecting Colours in
Plots
Description: A colour picker that can be used as an input in 'Shiny' apps
or Rmarkdown documents. The colour picker supports alpha opacity, custom
colour palettes, and many more options. A Plot Colour Helper tool is
available as an 'RStudio' Addin, which helps you pick colours to use in your
plots. A more generic Colour Picker 'RStudio' Addin is also provided to let
you select colours to use in your R code.
Author: Dean Attali [aut, cre],
David Griswold [ctb]
Maintainer: Dean Attali <daattali@gmail.com>
Diff between colourpicker versions 1.0 dated 2017-09-27 and 1.1.0 dated 2020-09-14
colourpicker-1.0/colourpicker/inst/img/allowTransparent.png |only colourpicker-1.1.0/colourpicker/DESCRIPTION | 19 colourpicker-1.1.0/colourpicker/MD5 | 61 +- colourpicker-1.1.0/colourpicker/NEWS.md | 31 - colourpicker-1.1.0/colourpicker/R/colourInput.R | 28 - colourpicker-1.1.0/colourpicker/R/colourPickerGadget.R | 12 colourpicker-1.1.0/colourpicker/R/colourWidget.R | 4 colourpicker-1.1.0/colourpicker/R/colourpicker-package.R |only colourpicker-1.1.0/colourpicker/R/plotHelper.R | 12 colourpicker-1.1.0/colourpicker/R/runExample.R | 2 colourpicker-1.1.0/colourpicker/README.md | 154 +++-- colourpicker-1.1.0/colourpicker/build/vignette.rds |binary colourpicker-1.1.0/colourpicker/inst/doc/colourpicker.R | 2 colourpicker-1.1.0/colourpicker/inst/doc/colourpicker.Rmd | 44 + colourpicker-1.1.0/colourpicker/inst/doc/colourpicker.html | 264 +++++++++- colourpicker-1.1.0/colourpicker/inst/examples/colourInput/app.R | 41 - colourpicker-1.1.0/colourpicker/inst/examples/colourInput/www/app.css | 2 colourpicker-1.1.0/colourpicker/inst/htmlwidgets/colourWidget.yaml | 2 colourpicker-1.1.0/colourpicker/inst/img/colourinput.png |binary colourpicker-1.1.0/colourpicker/inst/img/colourinputnew.PNG |binary colourpicker-1.1.0/colourpicker/inst/img/colourpickerscrnshot.png |binary colourpicker-1.1.0/colourpicker/inst/img/limited-palette.png |binary colourpicker-1.1.0/colourpicker/inst/img/plothelper-demo.png |binary colourpicker-1.1.0/colourpicker/inst/img/showColour.png |binary colourpicker-1.1.0/colourpicker/inst/srcjs/input_binding_colour.js | 6 colourpicker-1.1.0/colourpicker/inst/www/shared/colourpicker/js/colourpicker.js | 128 +--- colourpicker-1.1.0/colourpicker/inst/www/shared/colourpicker/js/colourpicker.min.js | 12 colourpicker-1.1.0/colourpicker/man/colourInput.Rd | 23 colourpicker-1.1.0/colourpicker/man/colourWidget.Rd | 23 colourpicker-1.1.0/colourpicker/man/colourpicker-package.Rd |only colourpicker-1.1.0/colourpicker/man/runExample.Rd | 2 colourpicker-1.1.0/colourpicker/man/updateColourInput.Rd | 24 colourpicker-1.1.0/colourpicker/vignettes/colourpicker.Rmd | 44 + 33 files changed, 621 insertions(+), 319 deletions(-)
Title: Enhancements for 'broom' and 'easystats' Package Families
Description: Provides helper functions that assist in data
analysis workflows involving regression analyses. The goal is to
combine the functionality offered by different set of packages
('broom', 'broom.mixed', 'parameters', and 'performance') through a
common syntax to return tidy dataframes containing model parameters
and performance measure summaries. The 'grouped_' variants of the
generics provides a convenient way to execute functions across a
combination of grouping variable(s) in a dataframe.
Author: Indrajeet Patil [aut, cre, cph]
(<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Diff between broomExtra versions 4.0.5 dated 2020-09-02 and 4.0.6 dated 2020-09-14
broomExtra-4.0.5/broomExtra/R/easystats_to_tidy_names.R |only broomExtra-4.0.5/broomExtra/man/easystats_to_tidy_names.Rd |only broomExtra-4.0.5/broomExtra/tests/testthat/test-easystats_to_tidy_names.R |only broomExtra-4.0.6/broomExtra/DESCRIPTION | 10 broomExtra-4.0.6/broomExtra/MD5 | 33 broomExtra-4.0.6/broomExtra/NAMESPACE | 3 broomExtra-4.0.6/broomExtra/NEWS.md | 6 broomExtra-4.0.6/broomExtra/R/generics.R | 74 broomExtra-4.0.6/broomExtra/R/generics_easystats.R | 18 broomExtra-4.0.6/broomExtra/R/grouped_generics.R | 4 broomExtra-4.0.6/broomExtra/R/reexports.R | 6 broomExtra-4.0.6/broomExtra/README.md | 1074 ++++------ broomExtra-4.0.6/broomExtra/build/broomExtra.pdf |binary broomExtra-4.0.6/broomExtra/man/augment.Rd | 9 broomExtra-4.0.6/broomExtra/man/glance.Rd | 11 broomExtra-4.0.6/broomExtra/man/glance_performance.Rd | 2 broomExtra-4.0.6/broomExtra/man/reexports.Rd | 3 broomExtra-4.0.6/broomExtra/man/tidy.Rd | 14 broomExtra-4.0.6/broomExtra/man/tidy_parameters.Rd | 4 19 files changed, 570 insertions(+), 701 deletions(-)
Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available.
Author: Maximilian Boeck [aut, cre] (<https://orcid.org/0000-0001-6024-8305>),
Martin Feldkircher [aut] (<https://orcid.org/0000-0002-5511-9215>),
Florian Huber [aut] (<https://orcid.org/0000-0002-2896-7921>),
Christopher Sims [ctb]
Maintainer: Maximilian Boeck <maximilian.boeck@wu.ac.at>
Diff between BGVAR versions 2.1.0 dated 2020-09-07 and 2.1.2 dated 2020-09-14
BGVAR-2.1.0/BGVAR/man/coef.bgvar.Rd |only BGVAR-2.1.0/BGVAR/man/fitted.bgvar.Rd |only BGVAR-2.1.0/BGVAR/man/logLik.bgvar.Rd |only BGVAR-2.1.0/BGVAR/man/lps.bgvar.pred.Rd |only BGVAR-2.1.0/BGVAR/man/residuals.bgvar.Rd |only BGVAR-2.1.0/BGVAR/man/rmse.bgvar.predict.Rd |only BGVAR-2.1.0/BGVAR/man/summary.bgvar.Rd |only BGVAR-2.1.0/BGVAR/man/vcov.bgvar.Rd |only BGVAR-2.1.2/BGVAR/DESCRIPTION | 6 BGVAR-2.1.2/BGVAR/MD5 | 52 - BGVAR-2.1.2/BGVAR/NAMESPACE | 2 BGVAR-2.1.2/BGVAR/NEWS | 7 BGVAR-2.1.2/BGVAR/R/bgvar.R | 46 - BGVAR-2.1.2/BGVAR/R/helpers.R | 6 BGVAR-2.1.2/BGVAR/R/irf.R | 4 BGVAR-2.1.2/BGVAR/R/predict.R | 26 BGVAR-2.1.2/BGVAR/inst/CITATION | 27 BGVAR-2.1.2/BGVAR/inst/doc/examples.R | 114 +-- BGVAR-2.1.2/BGVAR/inst/doc/examples.Rmd | 132 +-- BGVAR-2.1.2/BGVAR/inst/doc/examples.html | 999 ++++++++++++++-------------- BGVAR-2.1.2/BGVAR/man/avg.pair.cc.Rd | 2 BGVAR-2.1.2/BGVAR/man/bgvar.Rd | 6 BGVAR-2.1.2/BGVAR/man/coef.Rd |only BGVAR-2.1.2/BGVAR/man/conv.diag.Rd | 2 BGVAR-2.1.2/BGVAR/man/fitted.Rd |only BGVAR-2.1.2/BGVAR/man/irf.Rd | 2 BGVAR-2.1.2/BGVAR/man/logLik.Rd |only BGVAR-2.1.2/BGVAR/man/lps.Rd |only BGVAR-2.1.2/BGVAR/man/predict.Rd | 2 BGVAR-2.1.2/BGVAR/man/resid.corr.test.Rd | 2 BGVAR-2.1.2/BGVAR/man/residuals.Rd |only BGVAR-2.1.2/BGVAR/man/rmse.Rd |only BGVAR-2.1.2/BGVAR/man/summary.Rd |only BGVAR-2.1.2/BGVAR/man/vcov.Rd |only BGVAR-2.1.2/BGVAR/vignettes/examples.Rmd | 132 +-- 35 files changed, 809 insertions(+), 760 deletions(-)
Title: FROC Analysis by Bayesian Approaches
Description: Execute BayesianFROC::fit_GUI_Shiny() (or fit_GUI_Shiny_MRMC()) for a graphical user interface via Shiny. Provides new methods for the so-called Free-response Receiver Operating Characteristic (FROC) analysis. The ultimate aim of FROC analysis is to compare observer performances, which means comparing characteristics, such as area under the curve (AUC) or figure of merit (FOM). In this package, we only use the notion of AUC for modality comparison, where by "modality", we mean imaging methods such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Positron Emission Tomography (PET), ..., etc. So there is a problem that which imaging method is better to detect lesions from shadows in radiographs. To solve modality comparison issues, this package provides new methods using hierarchical Bayesian models proposed by the author of this package. Using this package, one can obtain at least one conclusion that which imaging methods are better for finding lesions in radiographs with the case of your data. Fitting FROC statistical models is sometimes not so good, it can easily confirm by drawing FROC curves and comparing these curves and the points constructed by False Positive fractions (FPFs) and True Positive Fractions (TPFs), we can validate the goodness of fit intuitively. Such validation is also implemented by the Chi square goodness of fit statistics in the Bayesian context which means that the parameter is not deterministic, thus by integrating it with the posterior predictive measure, we get a desired value. To compare modalities (imaging methods: MRI, CT, PET, ... , etc), we evaluate AUCs for each modality. FROC is developed by Dev Chakraborty, his FROC model in his 1989 paper relies on the maximal likelihood methodology. The author modified and provided the alternative Bayesian FROC model. Strictly speaking, his model does not coincide with models in this package. In FROC context, we means by multiple reader and multiple case (MRMC) the case of the number of reader or modality is two or more. The MRMC data is available for functions of this package. I hope that medical researchers use not only the frequentist method but also alternative Bayesian methods. In medical research, many problems are considered under only frequentist methods, such as the notion of p-values. But p-value is sometimes misunderstood. Bayesian methods provide very simple, direct, intuitive answer for research questions. Combining frequentist methods with Bayesian methods, we can obtain more reliable answer for research questions. Please execute the following R scripts from the R (R studio) console, demo(demo_MRMC, package = "BayesianFROC"); demo(demo_srsc, package = "BayesianFROC"); demo(demo_stan, package = "BayesianFROC"); demo(demo_drawcurves_srsc, package = "BayesianFROC"); demo_Bayesian_FROC(); demo_Bayesian_FROC_without_pause(). References: Dev Chakraborty (1989) <doi:10.1118/1.596358> Maximum likelihood analysis of free - response receiver operating characteristic (FROC) data. Pre-print: Issei Tsunoda; Bayesian Models for free-response receiver operating characteristic analysis.
Author: Issei Tsunoda [aut, cre]
Maintainer: Issei Tsunoda <tsunoda.issei1111@gmail.com>
Diff between BayesianFROC versions 0.3.0 dated 2020-07-02 and 0.3.1 dated 2020-09-14
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BayesianFROC-0.3.1/BayesianFROC/R/BayesianFROC.R | 9 BayesianFROC-0.3.1/BayesianFROC/R/ConfirmConvergence.R | 13 BayesianFROC-0.3.1/BayesianFROC/R/DrawCurves.R | 630 +- BayesianFROC-0.3.1/BayesianFROC/R/FROC_via_ggplot.R | 32 BayesianFROC-0.3.1/BayesianFROC/R/R_hat_max.R |only BayesianFROC-0.3.1/BayesianFROC/R/StartupMessage.R | 29 BayesianFROC-0.3.1/BayesianFROC/R/argMax.R |only BayesianFROC-0.3.1/BayesianFROC/R/check_rhat.R | 15 BayesianFROC-0.3.1/BayesianFROC/R/chi_square_goodness_of_fit.R | 80 BayesianFROC-0.3.1/BayesianFROC/R/compile_all_models.R |only BayesianFROC-0.3.1/BayesianFROC/R/demo_Bayesian_FROC.R | 14 BayesianFROC-0.3.1/BayesianFROC/R/demo_Bayesian_FROC_without_pause.R | 22 BayesianFROC-0.3.1/BayesianFROC/R/document_dataset_srsc.R | 16 BayesianFROC-0.3.1/BayesianFROC/R/download.R | 22 BayesianFROC-0.3.1/BayesianFROC/R/draw_latent_distribution.R | 82 BayesianFROC-0.3.1/BayesianFROC/R/error_message.R | 2 BayesianFROC-0.3.1/BayesianFROC/R/error_message_on_imaging_device_rhat_values.R | 12 BayesianFROC-0.3.1/BayesianFROC/R/explanation_about_package_BayesianFROC.R | 2 BayesianFROC-0.3.1/BayesianFROC/R/extract_data_frame_from_dataList_MRMC.R | 52 BayesianFROC-0.3.1/BayesianFROC/R/fffaaabbb.R | 58 BayesianFROC-0.3.1/BayesianFROC/R/file_remove.R |only BayesianFROC-0.3.1/BayesianFROC/R/fit_Bayesian_FROC.R | 412 - BayesianFROC-0.3.1/BayesianFROC/R/fit_GUI_Shiny.R | 3087 ++++++++-- BayesianFROC-0.3.1/BayesianFROC/R/fit_GUI_dashboard.R | 2 BayesianFROC-0.3.1/BayesianFROC/R/fit_MRMC_versionTWO.R | 16 BayesianFROC-0.3.1/BayesianFROC/R/fut_GUI_MRMC_shiny.R | 1127 ++- BayesianFROC-0.3.1/BayesianFROC/R/get_treedepth_threshold.R |only BayesianFROC-0.3.1/BayesianFROC/R/give_name_srsc_data.R | 2 BayesianFROC-0.3.1/BayesianFROC/R/hit_generator_from_multinomial.R |only BayesianFROC-0.3.1/BayesianFROC/R/install_imports.R | 23 BayesianFROC-0.3.1/BayesianFROC/R/metadata.R | 21 BayesianFROC-0.3.1/BayesianFROC/R/method.R | 2 BayesianFROC-0.3.1/BayesianFROC/R/methods_print.R | 1 BayesianFROC-0.3.1/BayesianFROC/R/pairs_plot_if_divergent_transition_occurred.R | 26 BayesianFROC-0.3.1/BayesianFROC/R/ppp.R | 169 BayesianFROC-0.3.1/BayesianFROC/R/prior_print.R | 22 BayesianFROC-0.3.1/BayesianFROC/R/sbcVer2.R | 74 BayesianFROC-0.3.1/BayesianFROC/R/size_of_return_value.R | 4 BayesianFROC-0.3.1/BayesianFROC/R/stan_trace_dark_theme.R |only BayesianFROC-0.3.1/BayesianFROC/R/stanfitExtended.R | 41 BayesianFROC-0.3.1/BayesianFROC/R/test_multi.R |only BayesianFROC-0.3.1/BayesianFROC/R/tracePlotFROC.R |only BayesianFROC-0.3.1/BayesianFROC/R/validation_MRMC_Create_dataList_MRMC_Hit_from_rate_etc.R | 6 BayesianFROC-0.3.1/BayesianFROC/R/validation_error_srsc.R | 2 BayesianFROC-0.3.1/BayesianFROC/R/viewdata.R | 39 BayesianFROC-0.3.1/BayesianFROC/R/waic.R | 14 BayesianFROC-0.3.1/BayesianFROC/build/vignette.rds |binary BayesianFROC-0.3.1/BayesianFROC/demo/00Index | 2 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BayesianFROC-0.3.1/BayesianFROC/man/DrawCurves_MRMC_pairwise.Rd | 8 BayesianFROC-0.3.1/BayesianFROC/man/DrawCurves_MRMC_pairwise_BlackWhite.Rd | 8 BayesianFROC-0.3.1/BayesianFROC/man/DrawCurves_MRMC_pairwise_col.Rd | 8 BayesianFROC-0.3.1/BayesianFROC/man/DrawCurves_srsc.Rd | 5 BayesianFROC-0.3.1/BayesianFROC/man/Draw_AUC.Rd | 4 BayesianFROC-0.3.1/BayesianFROC/man/Draw_an_area_of_AUC_for_srsc.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/Empirical_FROC_via_ggplot.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/R_hat_max.Rd |only BayesianFROC-0.3.1/BayesianFROC/man/Simulation_Based_Calibration_single_reader_single_modality_via_rstan_sbc.Rd | 49 BayesianFROC-0.3.1/BayesianFROC/man/argMax.Rd |only BayesianFROC-0.3.1/BayesianFROC/man/argMin.Rd |only BayesianFROC-0.3.1/BayesianFROC/man/check_hit_is_less_than_NL.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/check_rhat.Rd | 8 BayesianFROC-0.3.1/BayesianFROC/man/chi_square_at_replicated_data_and_MCMC_samples_MRMC.Rd | 39 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BayesianFROC-0.3.1/BayesianFROC/man/draw.CFP.CTP.from.dataList.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/draw_latent_noise_distribution.Rd | 13 BayesianFROC-0.3.1/BayesianFROC/man/draw_latent_signal_distribution.Rd | 9 BayesianFROC-0.3.1/BayesianFROC/man/error_MRMC.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/error_message_on_imaging_device_rhat_values.Rd | 4 BayesianFROC-0.3.1/BayesianFROC/man/extractAUC.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/extract_EAP_by_array.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/extract_data_frame_from_dataList_MRMC.Rd | 5 BayesianFROC-0.3.1/BayesianFROC/man/extract_data_frame_from_dataList_srsc.Rd |only BayesianFROC-0.3.1/BayesianFROC/man/extract_estimates_MRMC.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/file_remove.Rd |only BayesianFROC-0.3.1/BayesianFROC/man/fit_Bayesian_FROC.Rd | 188 BayesianFROC-0.3.1/BayesianFROC/man/fit_GUI_Shiny.Rd | 75 BayesianFROC-0.3.1/BayesianFROC/man/fit_GUI_Shiny_MRMC.Rd | 3 BayesianFROC-0.3.1/BayesianFROC/man/fit_GUI_dashboard.Rd | 6 BayesianFROC-0.3.1/BayesianFROC/man/fit_MRMC.Rd | 30 BayesianFROC-0.3.1/BayesianFROC/man/fit_MRMC_versionTWO.Rd | 13 BayesianFROC-0.3.1/BayesianFROC/man/fit_Null_hypothesis_model_to_.Rd | 3 BayesianFROC-0.3.1/BayesianFROC/man/fit_a_model_to.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/fit_srsc.Rd | 28 BayesianFROC-0.3.1/BayesianFROC/man/get_posterior_variance.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/get_samples_from_Posterior_Predictive_distribution.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/get_treedepth_threshold.Rd |only BayesianFROC-0.3.1/BayesianFROC/man/ggplotFROC.EAP.Rd | 4 BayesianFROC-0.3.1/BayesianFROC/man/ggplotFROC.Rd | 4 BayesianFROC-0.3.1/BayesianFROC/man/give_name_srsc_data.Rd | 4 BayesianFROC-0.3.1/BayesianFROC/man/grapes-greater-than-greater-than-grapes.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/hit_generator_from_multinomial.Rd |only BayesianFROC-0.3.1/BayesianFROC/man/hits_creator_from_rate.Rd | 2 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BayesianFROC-0.3.1/BayesianFROC/man/ppp_srsc.Rd | 73 BayesianFROC-0.3.1/BayesianFROC/man/snippet_for_BayesianFROC.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/sortAUC.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/stan_model_of_sbc.Rd | 8 BayesianFROC-0.3.1/BayesianFROC/man/stan_trace_of_max_rhat.Rd |only BayesianFROC-0.3.1/BayesianFROC/man/stanfitExtended.Rd | 45 BayesianFROC-0.3.1/BayesianFROC/man/stanfit_from_its_inherited_class.Rd |only BayesianFROC-0.3.1/BayesianFROC/man/summarize_MRMC.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/summary_EAP_CI_srsc.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/trace_Plot.Rd |only BayesianFROC-0.3.1/BayesianFROC/man/validation.dataset_srsc.Rd | 2 BayesianFROC-0.3.1/BayesianFROC/man/waic.Rd | 13 BayesianFROC-0.3.1/BayesianFROC/vignettes/Implemented_Models.Rmd |only BayesianFROC-0.3.1/BayesianFROC/vignettes/References.Rnw |only 173 files changed, 6222 insertions(+), 2131 deletions(-)
Title: Parameterized Unit Testing
Description: This is an extension of the 'testthat' package that
lets you add parameters to your unit tests. Parameterized unit tests
are often easier to read and more reliable, since they follow the DNRY
(do not repeat yourself) rule.
Author: Michael Quinn <msquinn@google.com>
Maintainer: Michael Quinn <msquinn@google.com>
Diff between patrick versions 0.0.1 dated 2018-08-13 and 0.0.2 dated 2020-09-14
DESCRIPTION | 22 ++++++++++++---------- MD5 | 13 +++++++------ NEWS.md |only R/with_parameters.R | 7 +++++-- README.md | 19 +++++++++++++++---- man/patrick.Rd | 5 ++--- man/with_parameters_test_that.Rd | 23 +++++++++++++---------- tests/testthat/test-with_parameters.R | 13 +++++++++---- 8 files changed, 63 insertions(+), 39 deletions(-)
Title: Comfortable Search for R Packages on CRAN, Either Directly from
the R Console or with an R Studio Add-in
Description: Search for R packages on CRAN directly from the R console, based on the packages' titles, short and long descriptions, or other fields. Combine multiple keywords with logical operators ('and', 'or'), view detailed information on any package and keep track of the latest package contributions to CRAN. If you don't want to search from the R console, use the comfortable R Studio add-in.
Author: Joachim Zuckarelli [aut, cre] (<https://orcid.org/0000-0002-9280-3016>)
Maintainer: Joachim Zuckarelli <joachim@zuckarelli.de>
Diff between packagefinder versions 0.2.1 dated 2020-03-31 and 0.3.0 dated 2020-09-14
DESCRIPTION | 17 +++++++------ MD5 | 21 +++++++++++----- NEWS.md | 22 +++++++++++++++-- R/addin.r |only R/addintools.r |only R/packagefinder.r | 64 +++++++++++++++++++++++++++++++-------------------- README.md | 24 +++++++++++++++---- inst |only man/exploreFields.Rd | 10 ++++++- man/figures |only man/findPackage.Rd | 29 +++++++++++++++++------ man/packagefinder.Rd | 2 - 12 files changed, 133 insertions(+), 56 deletions(-)
Title: Patient-Centered Network Meta-Analysis
Description: Performs Bayesian arm-based network meta-analysis for datasets with binary, continuous, and count outcomes
(Zhang et al., 2014 <doi:10.1177/1740774513498322>;
Lin et al., 2017 <doi:10.18637/jss.v080.i05>).
Author: Lifeng Lin [aut, cre] (<https://orcid.org/0000-0002-3562-9816>),
Jing Zhang [aut],
Haitao Chu [aut] (<https://orcid.org/0000-0003-0932-598X>)
Maintainer: Lifeng Lin <linl@stat.fsu.edu>
Diff between pcnetmeta versions 2.6 dated 2017-11-07 and 2.7 dated 2020-09-14
DESCRIPTION | 24 + MD5 | 74 ++--- NAMESPACE | 5 R/absolute.plot.R | 88 ++--- R/contrast.plot.R | 308 +++++++++++--------- R/model.binary.het.cor.R | 138 ++++----- R/model.binary.het.cor.logit.R |only R/model.binary.het.eqcor.R | 144 ++++----- R/model.binary.het.eqcor.logit.R |only R/model.binary.hom.eqcor.R | 144 ++++----- R/model.binary.hom.eqcor.logit.R |only R/model.cont.het.cor.R | 98 +++--- R/model.cont.het.eqcor.R | 104 +++---- R/model.cont.hom.eqcor.R | 104 +++---- R/model.followup.het.cor.R | 136 ++++----- R/model.followup.het.eqcor.R | 136 ++++----- R/model.followup.hom.eqcor.R | 136 ++++----- R/model.py.het.cor.R | 128 ++++---- R/model.py.het.eqcor.R | 128 ++++---- R/model.py.hom.eqcor.R | 128 ++++---- R/nma.ab.bin.R | 574 +++++++++++++++++++++++---------------- R/nma.ab.cont.R | 351 ++++++++++++----------- R/nma.ab.followup.R | 403 ++++++++++++++------------- R/nma.ab.py.R | 395 +++++++++++++------------- R/nma.networkplot.R | 313 ++++++++++++--------- R/rank.prob.R | 40 +- build |only man/absolute.plot.Rd | 31 +- man/contrast.plot.Rd | 36 +- man/diabetes.Rd | 18 - man/dietaryfat.Rd | 16 - man/nma.ab.bin.Rd | 95 +++--- man/nma.ab.cont.Rd | 71 ++-- man/nma.ab.followup.Rd | 75 ++--- man/nma.ab.py.Rd | 71 ++-- man/nma.networkplot.Rd | 72 +++- man/parkinson.Rd | 16 - man/pcnetmeta-package.Rd | 20 - man/rank.prob.Rd | 18 - man/smoke.Rd | 16 - 40 files changed, 2507 insertions(+), 2147 deletions(-)
Title: Statistics Netherlands (CBS) Open Data API Client
Description: The data and meta data from Statistics
Netherlands (<https://www.cbs.nl>) can be browsed and downloaded. The client uses
the open data API of Statistics Netherlands.
Author: Edwin de Jonge [aut, cre],
Sara Houweling [ctb]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>
Diff between cbsodataR versions 0.4.1 dated 2020-02-20 and 0.5.1 dated 2020-09-14
cbsodataR-0.4.1/cbsodataR/inst/cbsodataR.Rmd |only cbsodataR-0.4.1/cbsodataR/inst/issues |only cbsodataR-0.4.1/cbsodataR/inst/iv3.R |only cbsodataR-0.5.1/cbsodataR/DESCRIPTION | 8 cbsodataR-0.5.1/cbsodataR/MD5 | 82 +- cbsodataR-0.5.1/cbsodataR/NAMESPACE | 3 cbsodataR-0.5.1/cbsodataR/NEWS.md | 21 cbsodataR-0.5.1/cbsodataR/R/cbs-table.R | 4 cbsodataR-0.5.1/cbsodataR/R/cbs_add_date_column.R | 16 cbsodataR-0.5.1/cbsodataR/R/cbs_default_selection.R | 1 cbsodataR-0.5.1/cbsodataR/R/cbs_download_data.R | 40 + cbsodataR-0.5.1/cbsodataR/R/cbs_download_meta.R | 16 cbsodataR-0.5.1/cbsodataR/R/cbs_download_table.R | 12 cbsodataR-0.5.1/cbsodataR/R/cbs_extract_table_id.R | 2 cbsodataR-0.5.1/cbsodataR/R/cbs_get_catalogs.R |only cbsodataR-0.5.1/cbsodataR/R/cbs_get_data.R | 4 cbsodataR-0.5.1/cbsodataR/R/cbs_get_datasets.R |only cbsodataR-0.5.1/cbsodataR/R/cbs_get_meta.R | 13 cbsodataR-0.5.1/cbsodataR/R/cbs_get_toc.R | 2 cbsodataR-0.5.1/cbsodataR/R/cbs_search.R |only cbsodataR-0.5.1/cbsodataR/R/cbsopendata.R | 12 cbsodataR-0.5.1/cbsodataR/R/deeplink.R | 29 cbsodataR-0.5.1/cbsodataR/R/filter.R | 15 cbsodataR-0.5.1/cbsodataR/R/get-meta.R | 8 cbsodataR-0.5.1/cbsodataR/R/get_base_url.R |only cbsodataR-0.5.1/cbsodataR/R/get_row_count.R |only cbsodataR-0.5.1/cbsodataR/R/query.R | 68 +- cbsodataR-0.5.1/cbsodataR/build/vignette.rds |binary cbsodataR-0.5.1/cbsodataR/inst/doc/cbsodata.R | 2 cbsodataR-0.5.1/cbsodataR/inst/doc/cbsodata.html | 326 ++++------ cbsodataR-0.5.1/cbsodataR/inst/extra |only cbsodataR-0.5.1/cbsodataR/man/cbs_download_data.Rd | 6 cbsodataR-0.5.1/cbsodataR/man/cbs_download_meta.Rd | 3 cbsodataR-0.5.1/cbsodataR/man/cbs_download_table.Rd | 3 cbsodataR-0.5.1/cbsodataR/man/cbs_get_catalogs.Rd |only cbsodataR-0.5.1/cbsodataR/man/cbs_get_data.Rd | 10 cbsodataR-0.5.1/cbsodataR/man/cbs_get_datasets.Rd |only cbsodataR-0.5.1/cbsodataR/man/cbs_get_meta.Rd | 5 cbsodataR-0.5.1/cbsodataR/man/cbs_get_toc.Rd | 2 cbsodataR-0.5.1/cbsodataR/man/cbs_search.Rd |only cbsodataR-0.5.1/cbsodataR/man/cbsodataR-package.Rd | 8 cbsodataR-0.5.1/cbsodataR/man/eq.Rd | 14 cbsodataR-0.5.1/cbsodataR/man/get_data-deprecated.Rd | 7 cbsodataR-0.5.1/cbsodataR/man/get_meta-deprecated.Rd | 2 cbsodataR-0.5.1/cbsodataR/man/has_substring.Rd | 12 cbsodataR-0.5.1/cbsodataR/tests/testthat/test-resolve_filter.R | 4 cbsodataR-0.5.1/cbsodataR/vignettes/cbsodataR.md | 226 +++--- 47 files changed, 594 insertions(+), 392 deletions(-)
Title: The Gaussian Covariate Method for Variable Selection
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the only parameter is a specified cut-off P-value which can be interpreted as the probability of a false positive being included in the final selection. For more information see the website below and the accompanying papers: L. Davies and L. Duembgen, "Covariate Selection Based on a Model-free Approach to Linear Regression with Exact Probabilities", 2020, <arXiv:1906.01990>. L. Davies, "Lasso, Knockoff and Gaussian covariates: A comparison", 2018, <arXiv:1807.09633>.
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <laurie.davies@uni-due.de>
Diff between gausscov versions 0.0.6 dated 2020-09-05 and 0.0.7 dated 2020-09-14
DESCRIPTION | 8 - MD5 | 28 ++--- NAMESPACE | 2 R/f2st.R | 1 R/fgr2st.R | 1 R/fmch.R | 2 R/frmch.R | 20 ++-- R/frobreg.R | 16 ++- R/frobregp.R | 32 ++++-- R/frst.R | 20 ++-- man/frmch.Rd | 12 +- man/frobreg.Rd | 18 ++- man/frobregp.Rd | 22 +++- man/frst.Rd | 10 +- src/gaucov.f | 268 ++++++++++++++++++++++++++++++++++++++++---------------- 15 files changed, 314 insertions(+), 146 deletions(-)
Title: Ready to Print Monthly and Yearly Calendars Made with 'ggplot2'
Description: Contains the function calendR() for creating fully customizable monthly and yearly calendars (colors, fonts, formats, ...) and even heatmap calendars. In addition, it allows saving the calendars in ready to print A4 format PDF files.
Author: José Carlos Soage González [aut, cre],
Natalia Pérez Veiga [aut]
Maintainer: José Carlos Soage González <jsoage@uvigo.es>
Diff between calendR versions 1.0 dated 2020-08-31 and 1.1 dated 2020-09-14
DESCRIPTION | 8 MD5 | 14 - NAMESPACE | 4 R/calendR-package.R | 2 R/calendR.R | 420 ++++++++++++++++++++++++++++++++++--------------- R/globals.R | 2 man/calendR-package.Rd | 2 man/calendR.Rd | 72 ++++++-- 8 files changed, 368 insertions(+), 156 deletions(-)
More information about ROI.plugin.osqp at CRAN
Permanent link
Title: Analysis of Physiologically Structured Population Models
Description: Performs demographic, bifurcation and evolutionary analysis of physiologically structured population models, which is a class of models that consistently translates continuous-time models of individual life history to the population level.
A model of individual life history has to be implemented specifying the individual-level functions that determine the life history, such as development and mortality rates and fecundity.
M.A. Kirkilionis, O. Diekmann, B. Lisser, M. Nool, B. Sommeijer & A.M. de Roos (2001) <doi:10.1142/S0218202501001264>.
O.Diekmann, M.Gyllenberg & J.A.J.Metz (2003) <doi:10.1016/S0040-5809(02)00058-8>.
A.M. de Roos (2008) <doi:10.1111/j.1461-0248.2007.01121.x>.
Author: Andre M. de Roos [aut, cre],
Ernst Hairer [ctb],
Gerhard Wanner [ctb]
Maintainer: Andre M. de Roos <A.M.deRoos@uva.nl>
Diff between PSPManalysis versions 0.2.2 dated 2019-10-22 and 0.3.2 dated 2020-09-14
PSPManalysis-0.2.2/PSPManalysis/inst/doc/PSPManalysis-pdf.pdf |only PSPManalysis-0.2.2/PSPManalysis/inst/doc/PSPManalysis-pdf.pdf.asis |only PSPManalysis-0.2.2/PSPManalysis/inst/doc/PSPManalysis.html |only PSPManalysis-0.2.2/PSPManalysis/inst/doc/PSPManalysis.html.asis |only PSPManalysis-0.2.2/PSPManalysis/vignettes/PSPManalysis-pdf.pdf.asis |only PSPManalysis-0.2.2/PSPManalysis/vignettes/PSPManalysis.html.asis |only PSPManalysis-0.3.2/PSPManalysis/DESCRIPTION | 12 +-- PSPManalysis-0.3.2/PSPManalysis/MD5 | 39 ++++------ PSPManalysis-0.3.2/PSPManalysis/NAMESPACE | 2 PSPManalysis-0.3.2/PSPManalysis/NEWS.md |only PSPManalysis-0.3.2/PSPManalysis/R/PSPMecodyn.R | 30 ++++--- PSPManalysis-0.3.2/PSPManalysis/R/PSPMevodyn.R | 2 PSPManalysis-0.3.2/PSPManalysis/R/PSPMhelp.R | 25 ++++-- PSPManalysis-0.3.2/PSPManalysis/R/buildSO.R | 26 +++--- PSPManalysis-0.3.2/PSPManalysis/R/setup.R | 2 PSPManalysis-0.3.2/PSPManalysis/build/vignette.rds |binary PSPManalysis-0.3.2/PSPManalysis/inst/doc/PSPManalysis.pdf |only PSPManalysis-0.3.2/PSPManalysis/inst/doc/PSPManalysis.pdf.asis |only PSPManalysis-0.3.2/PSPManalysis/inst/manual |only PSPManalysis-0.3.2/PSPManalysis/man/PSPMdemo.Rd | 13 ++- PSPManalysis-0.3.2/PSPManalysis/man/PSPMecodyn.Rd | 15 +++ PSPManalysis-0.3.2/PSPManalysis/man/PSPMequi.Rd | 17 +++- PSPManalysis-0.3.2/PSPManalysis/man/PSPMevodyn.Rd | 16 +++- PSPManalysis-0.3.2/PSPManalysis/man/PSPMhelp.Rd | 13 +-- PSPManalysis-0.3.2/PSPManalysis/man/PSPMind.Rd | 13 ++- PSPManalysis-0.3.2/PSPManalysis/vignettes/PSPManalysis.pdf.asis |only 26 files changed, 139 insertions(+), 86 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-05-27 1.2.2
2016-06-13 1.2.0
2016-05-02 1.1.0
2016-04-06 1.0.9
2016-03-10 1.0.8
2016-02-23 1.0.6
2016-02-15 1.0.5
2016-01-21 1.0.4
2015-12-05 1.0.3
2015-11-30 1.0.1
Title: Local Principal Curve Methods
Description: Fitting multivariate data patterns with local principal curves, including tools for data compression (projection) and measuring goodness-of-fit; with some additional functions for mean shift clustering.
Author: Jochen Einbeck and Ludger Evers
Maintainer: Jochen Einbeck <jochen.einbeck@durham.ac.uk>
Diff between LPCM versions 0.46-3 dated 2019-08-30 and 0.46-7 dated 2020-09-14
DESCRIPTION | 10 +- MD5 | 38 +++++----- NEWS.md |only R/kernels.and.distances.R | 4 - R/plot.lpc.R | 10 ++ README.md |only data/calspeedflow.rda |binary data/gaia.rda |binary data/gvessel.rda |binary inst |only man/LPCM-package.Rd | 159 +++++++++++++++++++++---------------------- man/Rc.Rd | 4 - man/calspeedflow.Rd | 68 +++++++++--------- man/coverage.Rd | 6 - man/gaia.Rd | 153 ++++++++++++++++++++--------------------- man/kernels.and.distances.Rd | 2 man/lpc.Rd | 2 man/lpc.control.Rd | 4 - man/lpc.spline.Rd | 158 +++++++++++++++++++++--------------------- man/ms.Rd | 2 man/plot.lpc.Rd | 12 +-- 21 files changed, 325 insertions(+), 307 deletions(-)
Title: Optimizing Consistency and Coverage in Configurational Causal
Modeling
Description: This is an add-on to the 'cna' package <https://CRAN.R-project.org/package=cna> comprising various functions for optimizing consistency and coverage scores of models of configurational comparative methods as Coincidence Analysis (CNA) and Qualitative Comparative Analysis (QCA). The function conCovOpt() calculates con-cov optima, selectMax() selects con-cov maxima among the con-cov optima, DNFbuild() can be used to build models actually reaching those optima, and findOutcomes() identifies those factor values in analyzed data that can be modeled as outcomes. For a theoretical introduction to these functions see <https://people.uib.no/mba110/docs/ConCovOpt.pdf>.
Author: Mathias Ambuehl [aut, cre, cph],
Michael Baumgartner [aut, cph]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>
Diff between cnaOpt versions 0.1.1 dated 2019-12-09 and 0.2.0 dated 2020-09-14
DESCRIPTION | 10 +- MD5 | 23 +++--- R/cnaOpt.R | 22 +++--- R/conCovOpt.R | 44 ++++++------ R/conCovOpt_utils.R | 12 +-- R/ereduce.R | 16 ++-- R/from_cna_namespace.R | 2 inst |only man/cnaOpt.Rd | 174 ++++++++++++++++++++++++------------------------- man/conCovOpt.Rd | 8 +- man/findOutcomes.Rd | 138 +++++++++++++++++++------------------- man/reprodAssign.Rd | 12 +-- man/rreduce_ereduce.Rd | 14 +-- 13 files changed, 238 insertions(+), 237 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-07-30 0.2.0
2016-08-31 0.1.1
2016-08-17 0.1.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2015-06-15 1.0.0
2014-09-03 0.99.1
Title: Statistical Framework to Define Subgroups in Complex Datasets
Description: High-dimensional datasets that do not exhibit a clear intrinsic clustered structure pose a challenge to conventional clustering algorithms. For this reason, we developed an unsupervised framework that helps scientists to better subgroup their datasets based on visual cues, please see Gao S, Mutter S, Casey A, Makinen V-P (2019) Numero: a statistical framework to define multivariable subgroups in complex population-based datasets, Int J Epidemiology, 48:369-37, <doi:10.1093/ije/dyy113>. The framework includes the necessary functions to construct a self-organizing map of the data, to evaluate the statistical significance of the observed data patterns, and to visualize the results.
Author: Song Gao [aut],
Stefan Mutter [aut],
Aaron E. Casey [aut],
Ville-Petteri Makinen [aut, cre]
Maintainer: Ville-Petteri Makinen <vpmakine@gmail.com>
Diff between Numero versions 1.6.0 dated 2020-06-23 and 1.7.0 dated 2020-09-14
Numero-1.6.0/Numero/R/nroCoalesce.R |only Numero-1.6.0/Numero/R/nroCoalesce.merge.R |only Numero-1.6.0/Numero/R/nroCoalesce.prune.R |only Numero-1.6.0/Numero/R/nroCoalesce.split.R |only Numero-1.6.0/Numero/man/nroCoalesce.Rd |only Numero-1.6.0/Numero/src/koho.model.distances.cpp |only Numero-1.6.0/Numero/src/koho.trainer.distances.cpp |only Numero-1.6.0/Numero/src/koho.trainer.euclid.cpp |only Numero-1.6.0/Numero/src/koho.trainer.pearson.cpp |only Numero-1.6.0/Numero/src/nro_coalesce_network.cpp |only Numero-1.6.0/Numero/src/nro_coalesce_prune.cpp |only Numero-1.6.0/Numero/src/nro_coalesce_split.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.count.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.expand.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.insert.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.items.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.modules.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.order.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.overlaps.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.size.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.subset.cpp |only Numero-1.6.0/Numero/src/turnip.cohesion.weight.cpp |only Numero-1.6.0/Numero/src/turnip.engine.assign.cpp |only Numero-1.6.0/Numero/src/turnip.engine.cpp |only Numero-1.6.0/Numero/src/turnip.engine.edges.cpp |only Numero-1.6.0/Numero/src/turnip.engine.neighbors.cpp |only Numero-1.6.0/Numero/src/turnip.engine.operator[].cpp |only Numero-1.6.0/Numero/src/turnip.engine.order.cpp |only Numero-1.6.0/Numero/src/turnip.engine.pick.cpp |only Numero-1.6.0/Numero/src/turnip.engine.pool.cpp |only Numero-1.6.0/Numero/src/turnip.engine.release.cpp |only Numero-1.6.0/Numero/src/turnip.engine.shuffle.cpp |only Numero-1.6.0/Numero/src/turnip.engine.size.cpp |only Numero-1.6.0/Numero/src/turnip.engine.values.cpp |only Numero-1.6.0/Numero/src/turnip.engine.vertices.cpp |only Numero-1.6.0/Numero/src/turnip.h |only Numero-1.6.0/Numero/src/turnip.local.h |only Numero-1.6.0/Numero/src/turnip.network.add.cpp |only Numero-1.6.0/Numero/src/turnip.network.agglomerate.cpp |only Numero-1.6.0/Numero/src/turnip.network.combine.cpp |only Numero-1.6.0/Numero/src/turnip.network.community.cpp |only Numero-1.6.0/Numero/src/turnip.network.component.cpp |only Numero-1.6.0/Numero/src/turnip.network.cpp |only Numero-1.6.0/Numero/src/turnip.network.degree.cpp |only Numero-1.6.0/Numero/src/turnip.network.edges.cpp |only Numero-1.6.0/Numero/src/turnip.network.hubs.cpp |only Numero-1.6.0/Numero/src/turnip.network.insert.cpp |only Numero-1.6.0/Numero/src/turnip.network.neighbors.cpp |only Numero-1.6.0/Numero/src/turnip.network.order.cpp |only Numero-1.6.0/Numero/src/turnip.network.prune.cpp |only Numero-1.6.0/Numero/src/turnip.network.redundant.cpp |only Numero-1.6.0/Numero/src/turnip.network.size.cpp |only Numero-1.6.0/Numero/src/turnip.network.split.cpp |only Numero-1.6.0/Numero/src/turnip.network.strength.cpp |only Numero-1.6.0/Numero/src/turnip.network.subnetwork.cpp |only Numero-1.6.0/Numero/src/turnip.network.triangular.cpp |only Numero-1.6.0/Numero/src/turnip.network.vertices.cpp |only Numero-1.6.0/Numero/src/turnip.network.weight.cpp |only Numero-1.6.0/Numero/src/turnip.networkbuffer.clean.cpp |only Numero-1.6.0/Numero/src/turnip.networkbuffer.concentrate.cpp |only Numero-1.6.0/Numero/src/turnip.networkbuffer.make.cpp |only Numero-1.6.0/Numero/src/turnip.networkbuffer.triangles.cpp |only Numero-1.6.0/Numero/src/turnip.triangle.cpp |only Numero-1.6.0/Numero/src/turnip.triangle.overlap.cpp |only Numero-1.6.0/Numero/src/turnip.version.cpp |only Numero-1.6.0/Numero/src/turnip.vertex.cpp |only Numero-1.6.0/Numero/src/turnip.vertex.degree.cpp |only Numero-1.6.0/Numero/src/turnip.vertex.join.cpp |only Numero-1.6.0/Numero/src/turnip.vertex.neighbors.cpp |only Numero-1.6.0/Numero/src/turnip.vertex.strength.cpp |only Numero-1.7.0/Numero/DESCRIPTION | 8 Numero-1.7.0/Numero/MD5 | 546 ++++------- Numero-1.7.0/Numero/NAMESPACE | 6 Numero-1.7.0/Numero/R/nroAggregate.R | 32 Numero-1.7.0/Numero/R/nroColorize.R | 20 Numero-1.7.0/Numero/R/nroDestratify.R | 35 Numero-1.7.0/Numero/R/nroImpute.R | 20 Numero-1.7.0/Numero/R/nroKmeans.R | 35 Numero-1.7.0/Numero/R/nroKohonen.R | 112 +- Numero-1.7.0/Numero/R/nroLabel.R | 45 Numero-1.7.0/Numero/R/nroMatch.R | 24 Numero-1.7.0/Numero/R/nroPair.R | 8 Numero-1.7.0/Numero/R/nroPermute.R | 17 Numero-1.7.0/Numero/R/nroPlot.R | 13 Numero-1.7.0/Numero/R/nroPlot.save.R | 6 Numero-1.7.0/Numero/R/nroPostprocess.R | 37 Numero-1.7.0/Numero/R/nroPreprocess.R | 16 Numero-1.7.0/Numero/R/nroRcppMatrix.R | 51 - Numero-1.7.0/Numero/R/nroStatistic.R | 2 Numero-1.7.0/Numero/R/nroSummary.R | 28 Numero-1.7.0/Numero/R/nroTrain.R | 29 Numero-1.7.0/Numero/R/numero.clean.R | 36 Numero-1.7.0/Numero/R/numero.create.R | 5 Numero-1.7.0/Numero/R/numero.evaluate.R | 24 Numero-1.7.0/Numero/R/numero.plot.R | 16 Numero-1.7.0/Numero/R/numero.prepare.R | 56 - Numero-1.7.0/Numero/R/numero.quality.R | 20 Numero-1.7.0/Numero/R/numero.subgroup.R | 6 Numero-1.7.0/Numero/R/numero.summary.R | 12 Numero-1.7.0/Numero/inst/doc/intro.R | 79 - Numero-1.7.0/Numero/inst/doc/intro.html | 451 +++------ Numero-1.7.0/Numero/inst/doc/intro.rmd | 136 -- Numero-1.7.0/Numero/inst/extcode/examples.R | 53 - Numero-1.7.0/Numero/man/nroAggregate.Rd | 19 Numero-1.7.0/Numero/man/nroColorize.Rd | 20 Numero-1.7.0/Numero/man/nroDestratify.Rd | 10 Numero-1.7.0/Numero/man/nroImpute.Rd | 17 Numero-1.7.0/Numero/man/nroKmeans.Rd | 18 Numero-1.7.0/Numero/man/nroKohonen.Rd | 7 Numero-1.7.0/Numero/man/nroLabel.Rd | 13 Numero-1.7.0/Numero/man/nroMatch.Rd | 18 Numero-1.7.0/Numero/man/nroPermute.Rd | 13 Numero-1.7.0/Numero/man/nroPlot.Rd | 25 Numero-1.7.0/Numero/man/nroPostprocess.Rd | 4 Numero-1.7.0/Numero/man/nroPreprocess.Rd | 6 Numero-1.7.0/Numero/man/nroRcppMatrix.Rd | 4 Numero-1.7.0/Numero/man/nroRcppVector.Rd | 2 Numero-1.7.0/Numero/man/nroStatistic.Rd | 20 Numero-1.7.0/Numero/man/nroSummary.Rd | 10 Numero-1.7.0/Numero/man/nroTrain.Rd | 15 Numero-1.7.0/Numero/man/numero.clean.Rd | 2 Numero-1.7.0/Numero/man/numero.create.Rd | 10 Numero-1.7.0/Numero/man/numero.evaluate.Rd | 4 Numero-1.7.0/Numero/man/numero.plot.Rd | 3 Numero-1.7.0/Numero/man/numero.prepare.Rd | 18 Numero-1.7.0/Numero/man/numero.quality.Rd | 4 Numero-1.7.0/Numero/man/numero.subrgoup.Rd | 4 Numero-1.7.0/Numero/man/numero.summary.Rd | 4 Numero-1.7.0/Numero/src/Numero_init.c | 14 Numero-1.7.0/Numero/src/abacus.approximation.fit.cpp | 5 Numero-1.7.0/Numero/src/abacus.approximation.parameters.cpp | 5 Numero-1.7.0/Numero/src/abacus.approximation.transform.cpp | 5 Numero-1.7.0/Numero/src/abacus.array.cpp | 5 Numero-1.7.0/Numero/src/abacus.basegaussian.apply.cpp | 5 Numero-1.7.0/Numero/src/abacus.basegaussian.parameters.cpp | 5 Numero-1.7.0/Numero/src/abacus.basegaussian.transform.cpp | 5 Numero-1.7.0/Numero/src/abacus.convergence.cpp | 5 Numero-1.7.0/Numero/src/abacus.correlation.cpp | 5 Numero-1.7.0/Numero/src/abacus.destratify.cpp | 5 Numero-1.7.0/Numero/src/abacus.empirical.add.cpp | 5 Numero-1.7.0/Numero/src/abacus.empirical.cpp | 5 Numero-1.7.0/Numero/src/abacus.empirical.normal.cpp | 5 Numero-1.7.0/Numero/src/abacus.empirical.p.cpp | 5 Numero-1.7.0/Numero/src/abacus.empirical.quantile.cpp | 5 Numero-1.7.0/Numero/src/abacus.empirical.size.cpp | 5 Numero-1.7.0/Numero/src/abacus.empirical.spread.cpp | 5 Numero-1.7.0/Numero/src/abacus.empirical.statistic.cpp | 5 Numero-1.7.0/Numero/src/abacus.empirical.z.cpp | 5 Numero-1.7.0/Numero/src/abacus.empiricalbuffer.contents.cpp | 5 Numero-1.7.0/Numero/src/abacus.extrema.cpp | 5 Numero-1.7.0/Numero/src/abacus.gaussian.configure.cpp | 5 Numero-1.7.0/Numero/src/abacus.gaussian.distance.cpp | 5 Numero-1.7.0/Numero/src/abacus.gaussian.optimize.cpp | 5 Numero-1.7.0/Numero/src/abacus.gaussian.quality.cpp | 5 Numero-1.7.0/Numero/src/abacus.h | 11 Numero-1.7.0/Numero/src/abacus.histogram.cpp | 5 Numero-1.7.0/Numero/src/abacus.impute.cpp |only Numero-1.7.0/Numero/src/abacus.interpolate.cpp | 5 Numero-1.7.0/Numero/src/abacus.local.h | 5 Numero-1.7.0/Numero/src/abacus.matrix.add.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.column.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.count.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.elements.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.insert.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.location.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.names.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.order.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.remove.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.rename.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.row.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.size.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.symmetric.cpp | 5 Numero-1.7.0/Numero/src/abacus.matrix.trunk.cpp | 5 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Numero-1.7.0/Numero/src/nro_train.cpp | 6 Numero-1.7.0/Numero/src/punos.h | 5 Numero-1.7.0/Numero/src/punos.local.h | 5 Numero-1.7.0/Numero/src/punos.smoothen.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.depth.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.diffuse.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.distance.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.highlight.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.import.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.interpolate.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.levels.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.neighbors.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.operator[].cpp | 5 Numero-1.7.0/Numero/src/punos.topology.paint.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.radius.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.rewire.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.save.cpp | 5 Numero-1.7.0/Numero/src/punos.topology.sigma.cpp | 5 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Numero-1.7.0/Numero/src/scriptum.frame.curve.cpp | 4 Numero-1.7.0/Numero/src/scriptum.frame.flush.cpp | 4 Numero-1.7.0/Numero/src/scriptum.frame.group.cpp | 4 Numero-1.7.0/Numero/src/scriptum.frame.horizontal.cpp | 4 Numero-1.7.0/Numero/src/scriptum.frame.shape.cpp | 36 Numero-1.7.0/Numero/src/scriptum.frame.shapes.cpp | 4 Numero-1.7.0/Numero/src/scriptum.frame.slice.cpp | 4 Numero-1.7.0/Numero/src/scriptum.frame.style.cpp | 4 Numero-1.7.0/Numero/src/scriptum.frame.stylize.cpp | 5 Numero-1.7.0/Numero/src/scriptum.frame.text.cpp | 6 Numero-1.7.0/Numero/src/scriptum.frame.vertical.cpp | 4 Numero-1.7.0/Numero/src/scriptum.framebuffer.cpp | 4 Numero-1.7.0/Numero/src/scriptum.h | 31 Numero-1.7.0/Numero/src/scriptum.limes.cpp | 4 Numero-1.7.0/Numero/src/scriptum.local.h | 8 Numero-1.7.0/Numero/src/scriptum.style.cpp | 4 Numero-1.7.0/Numero/src/scriptum.style2code.cpp | 7 Numero-1.7.0/Numero/src/scriptum.version.cpp | 6 Numero-1.7.0/Numero/vignettes/intro.rmd | 136 -- 312 files changed, 1424 insertions(+), 2085 deletions(-)
Title: Export Emissions to Atmospheric Models
Description: Emissions are the mass of pollutants released into the atmosphere. Air quality models need emissions data, with spatial and temporal distribution, to represent air pollutant concentrations. This package, eixport, creates inputs for the air quality models 'WRF-Chem' Grell et al (2005) <doi:10.1016/j.atmosenv.2005.04.027>, 'BRAMS-SPM' Freitas et al (2005) <doi:10.1016/j.atmosenv.2005.07.017> and 'RLINE' Snyder et al (2013) <doi:10.1016/j.atmosenv.2013.05.074>. See the eixport website (<https://atmoschem.github.io/eixport/>) for more information, documentations and examples. More details in Ibarra-Espinosa et al (2018) <doi.org/10.21105/joss.00607>.
Author: Sergio Ibarra-Espinosa [aut, cre]
(<https://orcid.org/0000-0002-3162-1905>),
Daniel Schuch [ctb] (<https://orcid.org/0000-0001-5977-4519>),
Edmilson Freitas [ctb] (<https://orcid.org/0000-0001-8783-2747>)
Maintainer: Sergio Ibarra-Espinosa <sergio.ibarra@usp.br>
Diff between eixport versions 0.4.7 dated 2020-06-25 and 0.4.9 dated 2020-09-14
DESCRIPTION | 16 +-- MD5 | 39 +++++---- NAMESPACE | 5 - NEWS.md | 7 + R/edgar.R |only R/get_edgar.R | 205 ++++++++++++++++++++++++++++--------------------- R/sysdata.rda |binary R/to_munich.R | 41 ++++++++- R/wrf_get.R | 3 data/edgar.rda |only inst/CITATION | 2 man/Lights.Rd | 4 man/edgar.Rd |only man/eixport-package.Rd | 2 man/emis_opt.Rd | 4 man/emisco.Rd | 6 - man/gCO.Rd | 6 - man/get_edgar.Rd | 83 +++++++++++++------ man/rawprofile.Rd | 6 - man/to_munich.Rd | 37 ++++++++ man/wrf_get.Rd | 4 man/wrf_profile.Rd | 4 22 files changed, 311 insertions(+), 163 deletions(-)
Title: Bayesian Networks Interactive Visualization and Explainable
Artificial Intelligence
Description: Bayesian networks provide an intuitive framework for probabilistic reasoning
and its graphical nature can be interpreted quite clearly. Graph based methods
of machine learning are becoming more popular because they offer a richer model
of knowledge that can be understood by a human in a graphical format. The 'bnviewer'
is an R Package that allows the interactive visualization of Bayesian Networks.
The aim of this package is to improve the Bayesian Networks visualization over
the basic and static views offered by existing packages.
Author: Robson Fernandes [aut, cre, cph]
Maintainer: Robson Fernandes <robson.fernandes@usp.br>
Diff between bnviewer versions 0.1.5 dated 2020-07-22 and 0.1.6 dated 2020-09-14
DESCRIPTION | 16 MD5 | 19 NAMESPACE | 16 R/bnviewer.R | 1190 +++++++++++++++++++++++++------------------------ R/strength.viewer.R | 1114 ++++++++++++++++++++++++++++----------------- man/strength.viewer.Rd | 15 man/viewer.Rd | 24 tests/alarm.R |only tests/clusters.R | 117 ++-- tests/coronary.R | 102 ++-- tests/gaussian.R |only tests/insurance.R |only 12 files changed, 1487 insertions(+), 1126 deletions(-)
Title: A Collection of Efficient and Extremely Fast R Functions
Description: A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions. References: a) Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>. b) Tsagris M. and Papadakis M. (2018). Forward regression in R: from the extreme slow to the extreme fast. Journal of Data Science, 16(4): 771--780. <doi:10.6339/JDS.201810_16(4).00006>.
Author: Manos Papadakis, Michail Tsagris, Marios Dimitriadis, Stefanos Fafalios, Ioannis Tsamardinos, Matteo Fasiolo, Giorgos Borboudakis, John Burkardt, Changliang Zou, Kleanthi Lakiotaki and Christina Chatzipantsiou.
Maintainer: Manos Papadakis <rfastofficial@gmail.com>
Diff between Rfast versions 2.0.0 dated 2020-08-31 and 2.0.1 dated 2020-09-14
DESCRIPTION | 8 ++++---- MD5 | 9 +++++---- NEWS.md | 2 +- man/Rfast-package.Rd |only src/col_row_utilities.cpp | 4 ++-- src/init.c | 2 +- 6 files changed, 13 insertions(+), 12 deletions(-)
Title: Argentina Political Analysis
Description: Toolbox for the Analysis of Political and Electoral Data from Argentina.
Author: Juan Pablo Ruiz Nicolini [aut, cre, cph]
(<https://orcid.org/0000-0002-3138-6343>),
Camila Higa [ctb],
Iván Lewin [ctb],
Lucas Enrich [ctb]
Maintainer: Juan Pablo Ruiz Nicolini <juanpabloruiznicolini@gmail.com>
Diff between polAr versions 0.1.3 dated 2020-05-16 and 0.2.0 dated 2020-09-14
DESCRIPTION | 39 +++- MD5 | 98 +++++++---- NAMESPACE | 16 + NEWS.md | 115 ++++++++++++- R/compute_competitiveness.R | 4 R/compute_concentration.R |only R/compute_disproportion.R |only R/compute_nep.R | 2 R/compute_seats.R |only R/full_geo_metadata.R |only R/get_bill_votes.R |only R/get_election_data.R | 7 R/get_geo.R |only R/get_grid.R |only R/get_multiple_elections.R |only R/get_names.R | 5 R/get_speech.R |only R/grillas_geofacet.R |only R/map_results.R |only R/plot_bill.R |only R/plot_results.R | 92 +++++++--- R/plot_speech.R |only R/polar_global_variables.R | 65 +++++++ R/recode_grid.R |only R/show_arg_codes.R |only R/show_available_bills.R |only R/show_available_elections.R | 5 R/show_available_speech.R |only R/tabulate_results.R | 21 +- README.md | 82 +++++---- build/vignette.rds |binary data/full_geo_metadata.rda |only data/grillas_geofacet.rda |only inst/doc/compute.R | 22 +- inst/doc/compute.Rmd | 57 +++++- inst/doc/compute.html | 226 ++++++++++++++++--------- inst/doc/data.R | 17 + inst/doc/data.Rmd | 95 +++++++++- inst/doc/data.html | 352 ++++++++++++++++++++++++---------------- inst/doc/results.R | 33 ++- inst/doc/results.Rmd | 76 ++++++-- inst/doc/results.html | 230 ++++++++++++++++---------- man/compute_competitiveness.Rd | 4 man/compute_concentration.Rd |only man/compute_disproportion.Rd |only man/compute_nep.Rd | 2 man/compute_seats.Rd |only man/full_geo_metadata.Rd |only man/get_bill_votes.Rd |only man/get_election_data.Rd | 15 + man/get_geo.Rd |only man/get_grid.Rd |only man/get_multiple_elections.Rd |only man/get_speech.Rd |only man/grillas_geofacet.Rd |only man/map_results.Rd |only man/plot_bill.Rd |only man/plot_speech.Rd |only man/polAr.Rd | 1 man/recode_grid.Rd |only man/show_arg_codes.Rd |only man/show_available_bills.Rd |only man/show_available_elections.Rd | 8 man/show_available_speech.Rd |only man/tucuman_dip_gral_2017.Rd | 6 vignettes/compute.Rmd | 57 +++++- vignettes/data.Rmd | 95 +++++++++- vignettes/results.Rmd | 76 ++++++-- 68 files changed, 1399 insertions(+), 524 deletions(-)
Title: Functional Help for Functions, Objects, and Packages
Description: Provides pseudo-postfix operators and more to enhance displaying documents.
The `?.` pseudo-postfix operator and the `?` prefix operator displays documents and contents (source or structure) of objects simultaneously to help understanding the objects.
The `?p` pseudo-postfix operator displays package documents, and is shorter than help(package = foo).
Author: Atsushi Yasumoto [aut, cph, cre]
(<https://orcid.org/0000-0002-8335-495X>)
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>
Diff between felp versions 0.2.2 dated 2019-12-06 and 0.2.3 dated 2020-09-14
DESCRIPTION | 12 ++++---- MD5 | 23 ++++++++------- NEWS.md | 6 ++++ R/felp.R | 4 +- R/question.R | 4 +- R/utils.R |only README.md | 12 ++++++-- build/vignette.rds |binary inst/doc/felp.R | 12 ++++---- inst/doc/felp.html | 78 +++++++++++++++++++++++++++++------------------------ man/dummy.Rd | 4 ++ man/felp.Rd | 19 ++++++------ man/question.Rd | 10 +++--- 13 files changed, 106 insertions(+), 78 deletions(-)