Title: Metadata Validation for Data Coordinating Centers
Description: Performs checks for common metadata quality issues. Used by the
data coordinating centers for the 'AMP-AD' consortium
(<https://adknowledgeportal.synapse.org>), 'PsychENCODE' consortium
(<http://www.psychencode.org>), and others to validate metadata prior to
data releases.
Author: Kara Woo [aut],
Sage Bionetworks [cph],
Nicole Kauer [aut, cre],
Kelsey Montgomery [aut],
Dean Attali [cph]
Maintainer: Nicole Kauer <nicole.kauer@sagebase.org>
Diff between dccvalidator versions 0.1.0 dated 2020-01-26 and 0.2.0 dated 2020-03-12
DESCRIPTION | 28 - MD5 | 79 ++-- NAMESPACE | 4 R/app-reporting.R | 15 R/app-server.R | 389 +++--------------------- R/app-ui.R | 14 R/check-all.R |only R/check-annotation-keys.R | 3 R/check-annotation-values.R | 47 ++ R/check-files-manifest.R | 6 R/check-name.R | 6 R/check-schema-df.R | 9 R/check-schema-json.R | 8 R/df-to-json.R | 8 R/mod-file-summary.R |only README.md | 39 -- inst/app/create_project.R | 7 inst/app/www/custom.css | 7 inst/doc/customizing-dccvalidator.R | 118 +++++++ inst/doc/customizing-dccvalidator.Rmd | 212 ++++++++++++- inst/doc/customizing-dccvalidator.html | 256 ++++++++++++++- inst/doc/using-the-dccvalidator-app-amp-ad.html | 17 - inst/doc/using-the-dccvalidator-pec.html | 11 inst/extdata |only inst/using-the-dccvalidator-app-amp-ad.Rmd | 44 +- inst/using-the-dccvalidator-app-amp-ad.md |only inst/using-the-dccvalidator-pec.Rmd | 12 man/can_coerce.Rd | 14 man/check_all.Rd |only man/check_keys.Rd | 4 man/check_schema_df.Rd | 3 man/check_schema_json.Rd | 2 man/check_values.Rd | 4 man/dccvalidator-package.Rd | 4 man/df_to_json_list.Rd | 2 man/file_summary.Rd |only man/report_unsatisfied_requirements.Rd |only tests/config.yml |only tests/testthat/test-check-all.R |only tests/testthat/test-check-annotation-keys.R | 5 tests/testthat/test-check-annotation-values.R | 47 ++ tests/testthat/test-check-files-manifest.R | 7 tests/testthat/test-mod-file-summary-helpers.R |only vignettes/customizing-dccvalidator.Rmd | 212 ++++++++++++- 44 files changed, 1139 insertions(+), 504 deletions(-)
Title: Spatial and Network Based Individual Level Models for Epidemics
Description: Provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).
Author: Vineetha Warriyar. K. V., Waleed Almutiry, and Rob Deardon
Maintainer: Vineetha Warriyar. K. V. <vineethawarriyar.kod@ucalgary.ca>
Diff between EpiILM versions 1.4.2 dated 2018-03-09 and 1.5 dated 2020-03-12
EpiILM-1.4.2/EpiILM/R/epicurve.r |only EpiILM-1.4.2/EpiILM/R/epispatial.r |only EpiILM-1.4.2/EpiILM/man/epicurve.Rd |only EpiILM-1.4.2/EpiILM/man/epispatial.Rd |only EpiILM-1.4.2/EpiILM/src/Epimcmc.f95 |only EpiILM-1.5/EpiILM/DESCRIPTION | 20 EpiILM-1.5/EpiILM/MD5 | 65 + EpiILM-1.5/EpiILM/NAMESPACE | 46 - EpiILM-1.5/EpiILM/R/as.epidata.r |only EpiILM-1.5/EpiILM/R/epiBR0.r | 175 ++-- EpiILM-1.5/EpiILM/R/epidata.r | 424 +++++----- EpiILM-1.5/EpiILM/R/epidic.r | 19 EpiILM-1.5/EpiILM/R/epilike.r | 314 ++++--- EpiILM-1.5/EpiILM/R/epimcmc.r | 1272 +++++++++++++++++++------------ EpiILM-1.5/EpiILM/R/epiplot.r |only EpiILM-1.5/EpiILM/R/pred.epi.r |only EpiILM-1.5/EpiILM/build |only EpiILM-1.5/EpiILM/data/tswv.txt.gz |binary EpiILM-1.5/EpiILM/demo |only EpiILM-1.5/EpiILM/inst |only EpiILM-1.5/EpiILM/man/EpiILM-package.Rd |only EpiILM-1.5/EpiILM/man/as.epidata.Rd |only EpiILM-1.5/EpiILM/man/epiBR0.Rd | 56 + EpiILM-1.5/EpiILM/man/epidata.Rd | 130 +-- EpiILM-1.5/EpiILM/man/epidic.Rd | 38 EpiILM-1.5/EpiILM/man/epilike.Rd | 86 -- EpiILM-1.5/EpiILM/man/epimcmc.Rd | 221 +++-- EpiILM-1.5/EpiILM/man/plot.epidata.Rd |only EpiILM-1.5/EpiILM/man/plot.epimcmc.Rd |only EpiILM-1.5/EpiILM/man/plot.pred.epi.Rd |only EpiILM-1.5/EpiILM/man/pred.epi.Rd |only EpiILM-1.5/EpiILM/man/summary.epimcmc.Rd |only EpiILM-1.5/EpiILM/man/tswv.Rd | 22 EpiILM-1.5/EpiILM/src/EpiBR0.f95 | 328 +++---- EpiILM-1.5/EpiILM/src/Epidata.f95 | 438 +++++----- EpiILM-1.5/EpiILM/src/Epilike.f95 | 482 +++++------ EpiILM-1.5/EpiILM/src/ini.c | 70 + EpiILM-1.5/EpiILM/tests |only EpiILM-1.5/EpiILM/vignettes |only 39 files changed, 2405 insertions(+), 1801 deletions(-)
Title: Piece-Wise Exponential Additive Mixed Modeling Tools for
Survival Analysis
Description: The Piece-wise exponential (Additive Mixed) Model
(PAMM; Bender and Scheipl (2018) <doi: 10.1177/1471082X17748083>) is a
powerful model class for the analysis of survival (or time-to-event) data,
based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2018) <doi: 10.1093/biostatistics/kxy003>.
pammtools provides tidy workflow for survival analysis with PAMMs,
including data simulation, transformation and other functions for data
preprocessing and model post-processing as well as visualization.
Author: Andreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>),
Fabian Scheipl [aut]
Maintainer: Andreas Bender <andreas.bender@stat.uni-muenchen.de>
Diff between pammtools versions 0.2.1 dated 2020-02-09 and 0.2.2 dated 2020-03-12
DESCRIPTION | 12 ++++++------ MD5 | 10 +++++----- NEWS.md | 6 +++++- R/as-ped.R | 4 +++- R/geom_hazard.R | 11 ++++++----- README.md | 7 +------ 6 files changed, 26 insertions(+), 24 deletions(-)
Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom' (<https://www.dexcom.com>), 'iPro 2' (<http://professional.medtronicdiabetes.com/ipro2-professional-cgm>), Diasend (<https://diasend.com//us>), Libre (<https://www.freestylelibre.us/>) or Carelink (<https://www.medtronicdiabetes.com/products/carelink-personal-diabetes-software>) data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload ("--1" is added to each subject ID automatically for double data entry). cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <tim.b.vigers@gmail.com>
Diff between cgmanalysis versions 2.6 dated 2020-02-19 and 2.6.1 dated 2020-03-12
DESCRIPTION | 8 ++++---- MD5 | 4 ++-- R/cleandata.R | 3 ++- 3 files changed, 8 insertions(+), 7 deletions(-)
Title: R Functions for Robust Statistics
Description: Locations problems, M-estimates of coefficients and scale
in linear regression, Weights for bounded influence regression,
Covariance matrix of the coefficient estimates, Asymptotic
relative efficiency of regression M-estimates, Robust testing
in linear models, High breakdown point regression, M-estimates
of covariance matrices, M-estimates for discrete generalized
linear models.
Author: Alfio Marazzi <Alfio.Marazzi@unisante.ch>
Maintainer: A. Randriamiharisoa <exelami@gmail.com>
Diff between robeth versions 2.7-5 dated 2019-07-18 and 2.7-6 dated 2020-03-12
DESCRIPTION | 8 +- MD5 | 6 - src/regtau.f | 6 + src/robeth.f | 188 +++++++++++++++++++++++++++++++++++++++-------------------- 4 files changed, 140 insertions(+), 68 deletions(-)
Title: Crunch.io Data Tools
Description: The Crunch.io service <http://crunch.io/> provides a cloud-based
data store and analytic engine, as well as an intuitive web interface.
Using this package, analysts can interact with and manipulate Crunch
datasets from within R. Importantly, this allows technical researchers to
collaborate naturally with team members, managers, and clients who prefer a
point-and-click interface.
Author: Greg Freedman Ellis [aut, cre],
Jonathan Keane [aut],
Mike Malecki [aut],
Neal Richardson [aut],
Gordon Shotwell [aut]
Maintainer: Greg Freedman Ellis <greg@crunch.io>
Diff between crunch versions 1.26.2 dated 2020-02-10 and 1.26.3 dated 2020-03-12
DESCRIPTION | 10 MD5 | 83 +-- NAMESPACE | 3 R/add-subvariable.R | 8 R/add-variable.R | 2 R/api.R | 156 +++--- R/as-vector.R | 10 R/crunchbox.R | 55 +- R/dataset-update.R | 2 R/decks.R | 9 R/gadgets.R | 2 R/make-array.R | 19 R/slides.R | 44 + R/sliding-categories.R |only R/variable-definition.R | 8 R/weight.R | 2 build/vignette.rds |binary inst/app.crunch.io/api/datasets/1/variables/mymrset/values-22eae5.json | 14 inst/doc/abstract-categories.R | 26 - inst/doc/abstract-categories.html | 145 +++-- inst/doc/analyze.html | 123 ++--- inst/doc/array-variables.R | 58 +- inst/doc/array-variables.html | 121 ++-- inst/doc/crunch-internals.html | 24 inst/doc/crunch.R | 58 +- inst/doc/crunch.html | 160 +++--- inst/doc/derive.html | 69 +- inst/doc/export.html | 103 ++-- inst/doc/filters.html | 101 ++-- inst/doc/fork-and-merge.R | 50 +- inst/doc/fork-and-merge.html | 111 ++-- inst/doc/projects.html | 245 +++++----- inst/doc/subtotals.html | 125 ++--- inst/doc/variable-order.html | 153 +++--- inst/doc/variables.html | 139 +++-- man/crunch-is.Rd | 12 man/newSlide.Rd | 44 + man/slideCategories.Rd |only tests/testthat/test-add-variable-definition.R | 1 tests/testthat/test-as-data-frame.R | 14 tests/testthat/test-crunch-data-frame-merge.R | 2 tests/testthat/test-decks.R | 10 tests/testthat/test-make-array.R | 38 + tests/testthat/test-sliding-categories.R |only 44 files changed, 1340 insertions(+), 1019 deletions(-)
Title: Learning Discrete Bayesian Network Classifiers from Data
Description: State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.
Author: Mihaljevic Bojan [aut, cre],
Bielza Concha [aut],
Larranaga Pedro [aut],
Wickham Hadley [ctb] (some code extracted from memoise package)
Maintainer: Mihaljevic Bojan <boki.mihaljevic@gmail.com>
Diff between bnclassify versions 0.4.4 dated 2020-01-20 and 0.4.5 dated 2020-03-12
DESCRIPTION | 12 +++--- MD5 | 30 +++++++-------- NEWS.md | 6 +++ build/vignette.rds |binary data/car.RData |binary data/voting.RData |binary inst/doc/methods.pdf |binary inst/doc/overview.R | 34 ++++++++--------- inst/doc/overview.pdf |binary inst/doc/usage.R | 78 ++++++++++++++++++++--------------------- inst/doc/usage.pdf |binary man/bnc.Rd | 14 +++++-- man/bnclassify.Rd | 3 - man/greedy_wrapper.Rd | 23 ++++++------ man/learn_params.Rd | 11 ++++- tests/testthat/helper-common.R | 2 - 16 files changed, 118 insertions(+), 95 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-07-26 0.1.2
2017-05-16 0.1.1
2016-07-05 0.1.0
Title: Estimate Univariate Gaussian or Student's t Mixture
Autoregressive Model
Description: Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR),
Student's t Mixture Autoregressive (StMAR), and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models,
quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes.
Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>,
Mika Meitz, Daniel Preve, Pentti Saikkonen (2018) <arXiv:1805.04010>,
Savi Virolainen (2020) <arXiv:2003.05221>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>
Diff between uGMAR versions 3.2.2 dated 2020-01-16 and 3.2.3 dated 2020-03-12
uGMAR-3.2.2/uGMAR/data/IE.rda |only uGMAR-3.2.2/uGMAR/man/IE.Rd |only uGMAR-3.2.3/uGMAR/DESCRIPTION | 9 uGMAR-3.2.3/uGMAR/MD5 | 148 ++++++------- uGMAR-3.2.3/uGMAR/NEWS.md | 16 + uGMAR-3.2.3/uGMAR/R/GSMARconstructor.R | 10 uGMAR-3.2.3/uGMAR/R/MAINest.R | 16 - uGMAR-3.2.3/uGMAR/R/argumentChecks.R | 3 uGMAR-3.2.3/uGMAR/R/data.R | 11 - uGMAR-3.2.3/uGMAR/R/diagnosticPlot.R | 40 ++- uGMAR-3.2.3/uGMAR/R/geneticAlgorithm.R | 7 uGMAR-3.2.3/uGMAR/R/loglikelihood.R | 49 ++-- uGMAR-3.2.3/uGMAR/R/plotMethods.R | 196 ++++++++++++++++-- uGMAR-3.2.3/uGMAR/R/predictMethod.R | 81 ++++--- uGMAR-3.2.3/uGMAR/R/printMethods.R | 26 ++ uGMAR-3.2.3/uGMAR/R/quantileResidualTests.R | 7 uGMAR-3.2.3/uGMAR/R/quantileResiduals.R | 3 uGMAR-3.2.3/uGMAR/README.md | 7 uGMAR-3.2.3/uGMAR/build/vignette.rds |binary uGMAR-3.2.3/uGMAR/data/T10Y1Y.rda |only uGMAR-3.2.3/uGMAR/inst/doc/intro-to-uGMAR.Rmd | 17 - uGMAR-3.2.3/uGMAR/inst/doc/intro-to-uGMAR.html | 34 +-- uGMAR-3.2.3/uGMAR/man/GAfit.Rd | 33 ++- uGMAR-3.2.3/uGMAR/man/GSMAR.Rd | 44 +++- uGMAR-3.2.3/uGMAR/man/T10Y1Y.Rd |only uGMAR-3.2.3/uGMAR/man/add_data.Rd | 13 - uGMAR-3.2.3/uGMAR/man/alt_gsmar.Rd | 18 + uGMAR-3.2.3/uGMAR/man/changeRegime.Rd | 12 - uGMAR-3.2.3/uGMAR/man/change_parametrization.Rd | 15 - uGMAR-3.2.3/uGMAR/man/check_params_length.Rd | 10 uGMAR-3.2.3/uGMAR/man/condMoments.Rd | 26 +- uGMAR-3.2.3/uGMAR/man/diagnosticPlot.Rd | 6 uGMAR-3.2.3/uGMAR/man/extractRegime.Rd | 12 - uGMAR-3.2.3/uGMAR/man/fitGSMAR.Rd | 26 +- uGMAR-3.2.3/uGMAR/man/getOmega.Rd | 18 + uGMAR-3.2.3/uGMAR/man/get_ar_roots.Rd | 3 uGMAR-3.2.3/uGMAR/man/get_regime_autocovs.Rd | 9 uGMAR-3.2.3/uGMAR/man/get_regime_means.Rd | 12 - uGMAR-3.2.3/uGMAR/man/get_regime_vars.Rd | 9 uGMAR-3.2.3/uGMAR/man/isStationary.Rd | 13 - uGMAR-3.2.3/uGMAR/man/isStationary_int.Rd | 13 - uGMAR-3.2.3/uGMAR/man/iterate_more.Rd | 6 uGMAR-3.2.3/uGMAR/man/loglikelihood.Rd | 20 + uGMAR-3.2.3/uGMAR/man/loglikelihood_int.Rd | 25 +- uGMAR-3.2.3/uGMAR/man/mixingWeights.Rd | 16 + uGMAR-3.2.3/uGMAR/man/mixingWeights_int.Rd | 19 + uGMAR-3.2.3/uGMAR/man/nParams.Rd | 9 uGMAR-3.2.3/uGMAR/man/parameterChecks.Rd | 10 uGMAR-3.2.3/uGMAR/man/pick_alphas.Rd | 10 uGMAR-3.2.3/uGMAR/man/pick_pars.Rd | 10 uGMAR-3.2.3/uGMAR/man/pick_phi0.Rd | 10 uGMAR-3.2.3/uGMAR/man/plot.gsmarpred.Rd | 6 uGMAR-3.2.3/uGMAR/man/predict.gsmar.Rd | 53 +++- uGMAR-3.2.3/uGMAR/man/profile_logliks.Rd | 5 uGMAR-3.2.3/uGMAR/man/quantileResidualPlot.Rd | 3 uGMAR-3.2.3/uGMAR/man/quantileResidualTests.Rd | 15 - uGMAR-3.2.3/uGMAR/man/quantileResiduals.Rd | 16 + uGMAR-3.2.3/uGMAR/man/quantileResiduals_int.Rd | 16 + uGMAR-3.2.3/uGMAR/man/randomIndividual.Rd | 29 ++ uGMAR-3.2.3/uGMAR/man/randomIndividual_int.Rd | 29 ++ uGMAR-3.2.3/uGMAR/man/random_regime.Rd | 11 - uGMAR-3.2.3/uGMAR/man/reformConstrainedPars.Rd | 10 uGMAR-3.2.3/uGMAR/man/reformParameters.Rd | 9 uGMAR-3.2.3/uGMAR/man/reformRestrictedPars.Rd | 9 uGMAR-3.2.3/uGMAR/man/removeAllConstraints.Rd | 10 uGMAR-3.2.3/uGMAR/man/simulateGSMAR.Rd | 3 uGMAR-3.2.3/uGMAR/man/sortComponents.Rd | 9 uGMAR-3.2.3/uGMAR/man/standardErrors.Rd | 16 + uGMAR-3.2.3/uGMAR/man/stmar_to_gstmar.Rd | 13 - uGMAR-3.2.3/uGMAR/man/stmarpars_to_gstmar.Rd | 10 uGMAR-3.2.3/uGMAR/man/swap_parametrization.Rd | 3 uGMAR-3.2.3/uGMAR/man/uGMAR.Rd | 1 uGMAR-3.2.3/uGMAR/man/uncondMoments.Rd | 9 uGMAR-3.2.3/uGMAR/man/uncondMoments_int.Rd | 12 - uGMAR-3.2.3/uGMAR/man/warn_dfs.Rd | 13 - uGMAR-3.2.3/uGMAR/tests/testthat/test_predictMethod.R | 122 +++++------ uGMAR-3.2.3/uGMAR/vignettes/intro-to-uGMAR.Rmd | 17 - 77 files changed, 1034 insertions(+), 522 deletions(-)
Title: Estimate Gaussian Mixture Vector Autoregressive Model
Description: Unconstrained and constrained maximum likelihood estimation of Gaussian Mixture Vector Autoregressive (GMVAR)
model, quantile residual tests, graphical diagnostics, simulations, and forecasting.
Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>
Diff between gmvarkit versions 1.1.2 dated 2020-01-21 and 1.1.3 dated 2020-03-12
DESCRIPTION | 6 +- MD5 | 82 ++++++++++++++--------------- NEWS.md | 9 +++ R/MAINest.R | 15 +---- R/diagnosticPlot.R | 19 +++++- R/geneticAlgorithm.R | 4 - R/plotMethods.R | 113 ++++++++++++++++++++++++++++++---------- R/predictMethod.R | 62 ++++++++++++++++----- R/printMethods.R | 5 + R/quantileResidualTests.R | 4 - README.md | 6 +- build/vignette.rds |binary inst/doc/intro-to-gmvarkit.R | 2 inst/doc/intro-to-gmvarkit.Rmd | 69 ++++++++++++++++++------ inst/doc/intro-to-gmvarkit.html | 75 ++++++++++++++++++-------- man/GAfit.Rd | 27 +++++++-- man/GMVAR.Rd | 15 ++++- man/add_data.Rd | 3 - man/alt_gmvar.Rd | 8 ++ man/change_parametrization.Rd | 10 ++- man/cond_moments.Rd | 19 ++++-- man/diagnostic_plot.Rd | 3 - man/fitGMVAR.Rd | 23 +++++--- man/get_regime_autocovs.Rd | 7 +- man/get_regime_means.Rd | 7 +- man/get_regime_means_int.Rd | 56 +++++++++++++------ man/get_test_Omega.Rd | 13 +++- man/loglikelihood.Rd | 13 +++- man/loglikelihood_int.Rd | 18 ++++-- man/plot.gmvarpred.Rd | 7 +- man/predict.gmvar.Rd | 30 ++++++++-- man/profile_logliks.Rd | 12 +++- man/quantile_residual_tests.Rd | 11 ++- man/quantile_residuals_int.Rd | 11 +++ man/reform_constrained_pars.Rd | 3 - man/simulateGMVAR.Rd | 3 - man/smart_ind.Rd | 16 ++++- man/standard_errors.Rd | 12 +++- man/uncond_moments.Rd | 7 +- man/uncond_moments_int.Rd | 10 ++- tests/testthat/test_S3methods.R | 15 +++-- vignettes/intro-to-gmvarkit.Rmd | 69 ++++++++++++++++++------ 42 files changed, 628 insertions(+), 271 deletions(-)
Title: Interpreted String Literals
Description: An implementation of interpreted string literals, inspired by
Python's Literal String Interpolation <https://www.python.org/dev/peps/pep-0498/> and Docstrings
<https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted String Literals
<https://docs.julialang.org/en/v1.3/manual/strings/#Triple-Quoted-String-Literals-1>.
Author: Jim Hester [aut, cre]
Maintainer: Jim Hester <james.f.hester@gmail.com>
Diff between glue versions 1.3.1 dated 2019-03-12 and 1.3.2 dated 2020-03-12
DESCRIPTION | 14 - MD5 | 57 ++++--- NAMESPACE | 7 NEWS.md | 21 ++ R/color.R | 2 R/glue.R | 16 +- R/quoting.R | 6 R/sql.R | 64 +++++++- R/vctrs.R |only R/zzz.R | 18 ++ README.md | 12 + build/vignette.rds |binary inst/doc/speed.R | 88 +++++------ inst/doc/speed.html | 143 +++++++++---------- inst/doc/transformers.R | 62 ++++++-- inst/doc/transformers.Rmd | 63 +++++++- inst/doc/transformers.html | 310 ++++++++++++++++++++++++------------------ man/glue-vctrs.Rd |only man/glue.Rd | 44 ++++- man/glue_col.Rd | 8 - man/glue_collapse.Rd | 2 man/glue_sql.Rd | 60 ++++++-- man/trim.Rd | 2 src/init.c | 6 src/trim.c | 25 ++- tests/testthat/test-glue.R | 9 + tests/testthat/test-quoting.R | 3 tests/testthat/test-sql.R | 8 + tests/testthat/test-trim.R | 41 +++++ tests/testthat/test-vctrs.R |only vignettes/transformers.Rmd | 63 +++++++- 31 files changed, 794 insertions(+), 360 deletions(-)
Title: Animal Dominance Hierarchies by Elo Rating
Description: Provides functions to quantify animal dominance hierarchies. The major focus is on Elo rating and its ability to deal with temporal dynamics in dominance interaction sequences. For static data, David's score and de Vries' I&SI are also implemented. In addition, the package provides functions to assess transitivity, linearity and stability of dominance networks. See Neumann et al (2011) <doi:10.1016/j.anbehav.2011.07.016> for an introduction.
Author: Christof Neumann [aut, cre] (<https://orcid.org/0000-0002-0236-1219>),
Lars Kulik [aut]
Maintainer: Christof Neumann <christofneumann1@gmail.com>
Diff between EloRating versions 0.46.10 dated 2019-12-05 and 0.46.11 dated 2020-03-12
DESCRIPTION | 12 +- MD5 | 104 +++++++++++++---------- NAMESPACE | 11 ++ R/CBI.R |only R/ISI-incontable.R | 3 R/ISI.R | 45 +++++++--- R/coresidence.R |only R/correctly_predicted.R |only R/dyadic_dom.R |only R/dyadic_reversals.R |only R/likelo.R | 37 ++++++-- R/optistart.R | 43 +++++++-- R/randomelo.R | 76 +++++++++++------ R/randomeloextract.R | 24 +++-- R/simple_dom.R |only R/winprob.r | 69 ++++++++++++++- build/partial.rdb |binary inst/NEWS.Rd | 11 ++ inst/REFERENCES.bib | 109 ++++++++++++++---------- inst/doc/EloRating_tutorial.R | 105 +++++++++++++++++------ inst/doc/EloRating_tutorial.Rmd | 120 +++++++++++++++++++-------- inst/doc/EloRating_tutorial.pdf |binary man/CBI.Rd |only man/ISI.Rd | 4 man/adv.Rd | 4 man/adv2.Rd | 4 man/advpres.Rd | 4 man/baboons1.Rd | 4 man/bonobos.Rd | 4 man/coresidence.Rd |only man/correctly_predicted.Rd |only man/creatematrix.Rd | 11 ++ man/createstartvalues.Rd | 9 +- man/devries98.Rd | 4 man/dommats.Rd | 6 - man/dot-elo.seq_old.Rd | 17 +++ man/dyadic_dom.Rd |only man/dyadic_reversals.Rd |only man/eloplot.Rd | 10 +- man/extract_elo.Rd | 11 +- man/heatmapplot.Rd | 12 ++ man/individuals.Rd | 8 + man/optimizek.Rd | 15 ++- man/optistart.Rd | 32 +++++-- man/randomelo.Rd | 40 ++++++--- man/randomeloextract.Rd | 11 +- man/randomsequence.Rd | 12 ++ man/simple_dom.Rd |only man/stab_elo.Rd | 8 + man/traj_elo.Rd | 8 + man/winprob.Rd | 59 ++++++++++++- src/fastelo.cpp | 26 ++++- tests/testthat/test-ISI.R |only tests/testthat/test-correctly_predicted.R |only tests/testthat/test-dyadic_dom.R |only tests/testthat/test-dyadic_reversals.R |only tests/testthat/test_comparisontooldversion.R | 1 tests/testthat/test_conversions.R | 1 tests/testthat/test_customelo.R | 6 - tests/testthat/test_customelopresence.R | 106 +++++++++++++++++++---- vignettes/EloRating_tutorial.Rmd | 120 +++++++++++++++++++-------- 61 files changed, 978 insertions(+), 348 deletions(-)
Title: C++ Classes to Embed R in C++ (and C) Applications
Description: C++ classes to embed R in C++ (and C) applications
A C++ class providing the R interpreter is offered by this package
making it easier to have "R inside" your C++ application. As R itself
is embedded into your application, a shared library build of R is
required. This works on Linux, OS X and even on Windows provided you
use the same tools used to build R itself. Numerous examples are
provided in the nine subdirectories of the examples/ directory of
the installed package: standard, 'mpi' (for parallel computing), 'qt'
(showing how to embed 'RInside' inside a Qt GUI application), 'wt'
(showing how to build a "web-application" using the Wt toolkit),
'armadillo' (for 'RInside' use with 'RcppArmadillo'), 'eigen' (for
'RInside' use with 'RcppEigen'), and 'c_interface' for a basic C
interface and 'Ruby' illustration. The examples use 'GNUmakefile(s)'
with GNU extensions, so a GNU make is required (and will use the
'GNUmakefile' automatically). 'Doxygen'-generated documentation of
the C++ classes is available at the 'RInside' website as well.
Author: Dirk Eddelbuettel, Romain Francois, and Lance Bachmeier
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Diff between RInside versions 0.2.15 dated 2019-03-06 and 0.2.16 dated 2020-03-12
ChangeLog | 32 ++++++++++++++++++++++++++++++++ DESCRIPTION | 26 +++++++++++++------------- MD5 | 24 +++++++++++++++++------- NAMESPACE | 2 +- R/RInsidePaths.R | 17 ++++++++++++++++- R/RcppExports.R |only README.md | 29 ++++++++++++++++------------- inst/NEWS.Rd | 32 +++++++++++++++++++++----------- inst/examples/c_interface |only inst/include/RInside_C.h |only src/RInside_C.cpp |only src/RcppExports.cpp |only src/compiler.cpp |only src/tools/RInsideEnvVars.r | 10 +++++----- 14 files changed, 121 insertions(+), 51 deletions(-)
Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as "add-ons" to packages like 'shiny', 'future', as well as
'rlang', and provides utility functions. Just like dipping sauce adding
flavors to potato chips or pita bread, 'dipsaus' for data analysis and
visualizations adds handy functions and enhancements to popular packages.
The goal is to provide simple solutions that are frequently asked for
online, such as how to synchronize 'shiny' inputs without freezing the app,
or how to get memory size on 'Linux' or 'MacOS' system. The enhancements
roughly fall into these four categories: 1. 'shiny' input widgets; 2.
high-performance computing using 'RcppParallel' and 'future' package; 3.
modify R calls and convert among numbers, strings, and other objects. 4.
utility functions to get system information such like CPU chipset, memory
limit, etc.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <zhengjia.wang@rice.edu>
Diff between dipsaus versions 0.0.4 dated 2020-01-20 and 0.0.5 dated 2020-03-12
DESCRIPTION | 10 - MD5 | 36 ++-- NAMESPACE | 18 +- NEWS.md | 13 + R/aaa.R | 3 R/fastmap2.R |only R/graphics.R |only R/language.R | 9 + R/parallels-future.R |only R/shiny-compoundInput2.R | 64 ++++++- R/shiny-progress.R | 162 +++++++++++++++++++ R/shiny-setInputs.R | 60 ++++++- inst/doc/async_evaluator.html | 206 ++++++++++++------------- inst/doc/r_expr_addons.html | 268 ++++++++++++++++----------------- inst/doc/shiny_customized_widgets.html | 78 ++++----- inst/doc/utility_functions.html | 140 ++++++++--------- man/dev_create.Rd |only man/fastmap2.Rd |only man/handler_dipsaus_progress.Rd |only man/lapply_async2.Rd |only man/progress2.Rd | 6 man/set_shiny_input.Rd | 39 ++++ man/use_shiny_dipsaus.Rd |only 23 files changed, 713 insertions(+), 399 deletions(-)
Title: Classical Age-Depth Modelling of Cores from Deposits
Description: Performs 'classical' age-depth modelling of dated sediment deposits - prior to applying more sophisticated techniques such as Bayesian age-depth modelling. Any radiocarbon dated depths are calibrated. Age-depth models are constructed by sampling repeatedly from the dated levels, each time drawing age-depth curves. Model types include linear interpolation, linear or polynomial regression, and a range of splines. See Blaauw (2010). <doi:10.1016/j.quageo.2010.01.002>.
Author: Maarten Blaauw [aut, cre],
J. Andres Christen [ctb],
Judith Esquivel Vazquez [ctb],
Simon Goring [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>
Diff between clam versions 2.3.2 dated 2019-01-14 and 2.3.4 dated 2020-03-12
DESCRIPTION | 10 +-- MD5 | 32 ++++++------ NEWS.md | 9 +++ R/calibrate.R | 17 +++--- R/clam.R | 26 +++++----- R/models.R | 28 ++++++---- R/postanalysis.R | 17 ++++-- R/readwrite.R | 30 +++++++---- man/add.dates.Rd | 25 +++++++-- man/calBP.14C.Rd | 20 +++++-- man/calibrate.Rd | 65 ++++++++++++++++++------- man/clam.Rd | 110 ++++++++++++++++++++++++++++++++----------- man/deptime.age.Rd | 7 +- man/deptime.depth.Rd | 5 + man/mix.calibrationcurves.Rd | 12 +++- man/pMC.age.Rd | 2 man/student.t.Rd | 19 +++++-- 17 files changed, 296 insertions(+), 138 deletions(-)
Title: Common Public Health Statistics and their Confidence Intervals
Description: Functions to calculate commonly used public health statistics and
their confidence intervals using methods approved for use in the production
of Public Health England indicators such as those presented via Fingertips
(<http://fingertips.phe.org.uk/>). It provides functions for the generation
of proportions, crude rates, means, directly standardised rates, indirectly
standardised rates, standardised mortality ratios, slope and relative index
of inequality and life expectancy.
Statistical methods are referenced in the following publications.
Breslow NE, Day NE (1987) <doi:10.1002/sim.4780080614>.
Dobson et al (1991) <doi:10.1002/sim.4780100317>.
Armitage P, Berry G (2002) <doi:10.1002/9780470773666>.
Wilson EB. (1927) <doi:10.1080/01621459.1927.10502953>.
Altman DG et al (2000, ISBN: 978-0-727-91375-3).
Chiang CL. (1968, ISBN: 978-0-882-75200-6).
Newell C. (1994, ISBN: 978-0-898-62451-9).
Eayres DP, Williams ES (2004) <doi:10.1136/jech.2003.009654>.
Silcocks PBS et al (2001) <doi:10.1136/jech.55.1.38>.
Low and Low (2004) <doi:10.1093/pubmed/fdh175>.
Author: Anderson Georgina [aut, cre],
Fox Sebastian [ctb],
Francis Matthew [ctb],
Fryers Paul [ctb],
Clegg Emma [ctb]
Maintainer: Anderson Georgina <georgina.anderson@phe.gov.uk>
Diff between PHEindicatormethods versions 1.2.0 dated 2020-01-13 and 1.3.0 dated 2020-03-12
DESCRIPTION | 8 MD5 | 78 +- NAMESPACE | 2 NEWS.md | 7 R/DSR.R | 30 R/LifeExpectancy.R | 137 ++-- R/PHEindicatormethods.R | 2 R/SII_function.R | 256 ++++---- R/sysdata.rda |binary R/utils.R | 132 ++-- build/vignette.rds |binary data/DSR_data.rda |binary data/LE_data.rda |binary data/esp2013.rda |binary data/prevalence_data.rda |binary inst/doc/DSR-vignette.html | 150 ++-- inst/doc/Introduction_to_PHEindicatormethods.html | 666 +++++++++++----------- inst/doc/WorkedExamples_phe_sii.R | 4 inst/doc/WorkedExamples_phe_sii.Rmd | 4 inst/doc/WorkedExamples_phe_sii.html | 340 ++++++----- man/SimulationFunc.Rd | 123 ++-- man/byars_lower.Rd | 78 +- man/byars_upper.Rd | 74 +- man/phe_dsr.Rd | 204 +++--- man/phe_isr.Rd | 218 +++---- man/phe_life_expectancy.Rd | 335 +++++------ man/phe_mean.Rd | 118 +-- man/phe_proportion.Rd | 156 ++--- man/phe_quantile.Rd | 168 ++--- man/phe_rate.Rd | 146 ++-- man/phe_sii.Rd | 387 +++++++----- man/phe_smr.Rd | 208 +++--- man/wilson_lower.Rd | 80 +- man/wilson_upper.Rd | 80 +- tests/testthat/testDSRs.R | 40 - tests/testthat/testLifeExpectancy.R | 71 +- tests/testthat/testSII.R | 54 + tests/testthat/testdata_DSR_ISR_SMR.xlsx |binary tests/testthat/testdata_SII.xlsx |binary vignettes/WorkedExamples_phe_sii.Rmd | 4 40 files changed, 2274 insertions(+), 2086 deletions(-)
More information about PHEindicatormethods at CRAN
Permanent link
Title: Data Mining and R Programming for Beginners
Description: Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".
Author: Alexandre Blansché [aut, cre]
Maintainer: Alexandre Blansché <alexandre.blansche@univ-lorraine.fr>
Diff between fdm2id versions 0.9.1 dated 2020-01-09 and 0.9.3 dated 2020-03-12
fdm2id-0.9.1/fdm2id/man/bootstrap.Rd |only fdm2id-0.9.1/fdm2id/man/bootstrap.curves.Rd |only fdm2id-0.9.1/fdm2id/man/evaluate.Rd |only fdm2id-0.9.3/fdm2id/DESCRIPTION | 15 fdm2id-0.9.3/fdm2id/MD5 | 181 ++--- fdm2id-0.9.3/fdm2id/NAMESPACE | 14 fdm2id-0.9.3/fdm2id/R/classification.R | 865 +++++++++++++----------- fdm2id-0.9.3/fdm2id/R/clustering.R | 34 fdm2id-0.9.3/fdm2id/R/dataset.R | 13 fdm2id-0.9.3/fdm2id/R/factorial.R |only fdm2id-0.9.3/fdm2id/R/feature.R | 44 - fdm2id-0.9.3/fdm2id/R/imports.R | 2 fdm2id-0.9.3/fdm2id/R/misc.R | 2 fdm2id-0.9.3/fdm2id/R/regression.R | 24 fdm2id-0.9.3/fdm2id/R/text.R | 80 +- fdm2id-0.9.3/fdm2id/R/visualization.R | 164 +++- fdm2id-0.9.3/fdm2id/data/accident2014.rda |binary fdm2id-0.9.3/fdm2id/data/alcohol.rda |binary fdm2id-0.9.3/fdm2id/data/autompg.rda |binary fdm2id-0.9.3/fdm2id/data/beetles.rda |binary fdm2id-0.9.3/fdm2id/data/birth.rda |binary fdm2id-0.9.3/fdm2id/data/britpop.rda |binary fdm2id-0.9.3/fdm2id/data/cookies.desc.test.rda |binary fdm2id-0.9.3/fdm2id/data/cookies.desc.train.rda |binary fdm2id-0.9.3/fdm2id/data/cookies.rda |binary fdm2id-0.9.3/fdm2id/data/cookies.y.test.rda |binary fdm2id-0.9.3/fdm2id/data/cookies.y.train.rda |binary fdm2id-0.9.3/fdm2id/data/credit.rda |binary fdm2id-0.9.3/fdm2id/data/data1.rda |binary fdm2id-0.9.3/fdm2id/data/data2.rda |binary fdm2id-0.9.3/fdm2id/data/data3.rda |binary fdm2id-0.9.3/fdm2id/data/decathlon.rda |binary fdm2id-0.9.3/fdm2id/data/eucalyptus.rda |binary fdm2id-0.9.3/fdm2id/data/ionosphere.rda |binary fdm2id-0.9.3/fdm2id/data/linsep.rda |binary fdm2id-0.9.3/fdm2id/data/movies.rda |binary fdm2id-0.9.3/fdm2id/data/ozone.rda |binary fdm2id-0.9.3/fdm2id/data/reg1.rda |binary fdm2id-0.9.3/fdm2id/data/reg1.test.rda |binary fdm2id-0.9.3/fdm2id/data/reg1.train.rda |binary fdm2id-0.9.3/fdm2id/data/reg2.rda |binary fdm2id-0.9.3/fdm2id/data/reg2.test.rda |binary fdm2id-0.9.3/fdm2id/data/reg2.train.rda |binary fdm2id-0.9.3/fdm2id/data/snore.rda |binary fdm2id-0.9.3/fdm2id/data/spine.rda |binary fdm2id-0.9.3/fdm2id/data/spine.test.rda |binary fdm2id-0.9.3/fdm2id/data/spine.train.rda |binary fdm2id-0.9.3/fdm2id/data/temperature.rda |binary fdm2id-0.9.3/fdm2id/data/titanic.rda |binary fdm2id-0.9.3/fdm2id/data/universite.rda |binary fdm2id-0.9.3/fdm2id/data/vowels.rda |only fdm2id-0.9.3/fdm2id/data/vowels.test.rda |only fdm2id-0.9.3/fdm2id/data/vowels.train.rda |only fdm2id-0.9.3/fdm2id/data/wheat.rda |binary fdm2id-0.9.3/fdm2id/data/wine.rda |binary fdm2id-0.9.3/fdm2id/data/zoo.rda |binary fdm2id-0.9.3/fdm2id/man/ADABOOST.Rd | 2 fdm2id-0.9.3/fdm2id/man/BAGGING.Rd | 2 fdm2id-0.9.3/fdm2id/man/CA.Rd |only fdm2id-0.9.3/fdm2id/man/FEATURESELECTION.Rd | 2 fdm2id-0.9.3/fdm2id/man/GRADIENTBOOSTING.Rd | 2 fdm2id-0.9.3/fdm2id/man/LINREG.Rd | 2 fdm2id-0.9.3/fdm2id/man/MCA.Rd |only fdm2id-0.9.3/fdm2id/man/MEANSHIFT.Rd | 2 fdm2id-0.9.3/fdm2id/man/MLP.Rd | 2 fdm2id-0.9.3/fdm2id/man/MLPREG.Rd | 2 fdm2id-0.9.3/fdm2id/man/NMF.Rd | 4 fdm2id-0.9.3/fdm2id/man/PCA.Rd |only fdm2id-0.9.3/fdm2id/man/POLYREG.Rd | 2 fdm2id-0.9.3/fdm2id/man/RANDOMFOREST.Rd | 2 fdm2id-0.9.3/fdm2id/man/SPECTRAL.Rd | 2 fdm2id-0.9.3/fdm2id/man/SVM.Rd | 2 fdm2id-0.9.3/fdm2id/man/SVMl.Rd | 2 fdm2id-0.9.3/fdm2id/man/SVMr.Rd | 2 fdm2id-0.9.3/fdm2id/man/SVR.Rd | 2 fdm2id-0.9.3/fdm2id/man/SVRl.Rd | 2 fdm2id-0.9.3/fdm2id/man/SVRr.Rd | 2 fdm2id-0.9.3/fdm2id/man/TEXTMINING.Rd | 2 fdm2id-0.9.3/fdm2id/man/confusion.Rd |only fdm2id-0.9.3/fdm2id/man/cost.curves.Rd | 2 fdm2id-0.9.3/fdm2id/man/evaluation.Rd | 4 fdm2id-0.9.3/fdm2id/man/factorial-class.Rd |only fdm2id-0.9.3/fdm2id/man/frequentwords.Rd | 4 fdm2id-0.9.3/fdm2id/man/keiser.Rd |only fdm2id-0.9.3/fdm2id/man/performance.Rd |only fdm2id-0.9.3/fdm2id/man/plot.factorial.Rd |only fdm2id-0.9.3/fdm2id/man/plotcloud.Rd | 8 fdm2id-0.9.3/fdm2id/man/plotclus.Rd | 4 fdm2id-0.9.3/fdm2id/man/plotdata.Rd | 24 fdm2id-0.9.3/fdm2id/man/plotzipf.Rd | 4 fdm2id-0.9.3/fdm2id/man/predict.boosting.Rd | 2 fdm2id-0.9.3/fdm2id/man/predict.meanshift.Rd | 2 fdm2id-0.9.3/fdm2id/man/predict.selection.Rd | 2 fdm2id-0.9.3/fdm2id/man/print.factorial.Rd |only fdm2id-0.9.3/fdm2id/man/roc.curves.Rd | 2 fdm2id-0.9.3/fdm2id/man/selectfeatures.Rd | 2 fdm2id-0.9.3/fdm2id/man/stability.Rd | 8 fdm2id-0.9.3/fdm2id/man/treeplot.Rd | 4 fdm2id-0.9.3/fdm2id/man/vectorize.words.Rd | 2 fdm2id-0.9.3/fdm2id/man/vowels.Rd |only 100 files changed, 990 insertions(+), 562 deletions(-)
Title: Interactive Studio for Explanatory Model Analysis
Description: Automate the explanatory analysis of machine learning predictive models.
This package generates advanced interactive and animated model explanations
in the form of a serverless HTML site with only one line of code.
The main function computes various (instance and dataset level) model explanations
and produces an interactive, customisable dashboard made with 'D3.js'. It consists
of multiple panels for plots with their short descriptions. Easily save and share
the dashboard with others. Tools for model exploration unite with tools for EDA
(Exploratory Data Analysis) to give a broad overview of the model behavior.
Author: Hubert Baniecki [aut, cre] (<https://orcid.org/0000-0001-6661-5364>),
Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>)
Maintainer: Hubert Baniecki <hbaniecki@gmail.com>
Diff between modelStudio versions 0.3.0 dated 2020-02-20 and 1.0.0 dated 2020-03-12
DESCRIPTION | 11 - MD5 | 35 ++--- NAMESPACE | 2 NEWS.md | 7 + R/modelStudio.R | 204 ++++++++++++++++++------------ R/modelStudioOptions.R | 10 - R/prepare.R | 120 ++++++++--------- inst/CITATION | 6 inst/d3js/generatePlots.js | 14 +- inst/doc/vignette_modelStudio.R | 11 + inst/doc/vignette_modelStudio.Rmd | 11 + inst/doc/vignette_modelStudio.html | 60 ++++---- man/modelStudio.Rd | 56 +++++--- man/modelStudioOptions.Rd | 10 - tests/testthat.R | 1 tests/testthat/test_modelStudio.R | 86 ++++++------ tests/testthat/test_objects.R | 50 ++++--- tests/testthat/test_warnings_and_errors.R |only vignettes/vignette_modelStudio.Rmd | 11 + 19 files changed, 416 insertions(+), 289 deletions(-)
Title: Download Data from the CSO 'StatBank' API
Description: Imports 'StatBank' data in JSON-stat format and (optionally) reshapes it into wide
format. The Central Statistics Office (CSO) is the national statistical institute of Ireland
and 'StatBank' is the CSOs online database of Official Statistics. This database contains current
and historical data series compiled from CSO statistical releases and is accessed at
<http://www.cso.ie/px/pxeirestat/statire/SelectTable/Omrade0.asp?Planguage=0>.
A tutorial explaining and illustrating how to navigate to the 'StatBank' and how to search the
'StatBank' by keyword or theme can be found here:
<https://www.cso.ie/en/interactivezone/youtubevideos/statbanktutorial/>. This tutorial also
demonstrates how a user can create, edit and download a table from the 'StatBank'. The CSO
'StatBank' Application Programming Interface (API), which is accessed in this package, provides
access to 'StatBank' data in JSON-stat format at <https://statbank.cso.ie/webserviceclient/>.
This dissemination tool allows developers machine to machine access to CSO 'StatBank' data.
Author: Eoin Horgan [aut] (<https://orcid.org/0000-0002-3446-6154>),
Conor Crowley [aut, cre],
Mervyn O'Luing [aut]
Maintainer: Conor Crowley <conor.crowley@cso.ie>
Diff between csodata versions 1.0.0.1 dated 2020-03-09 and 1.0.1.1 dated 2020-03-12
DESCRIPTION | 8 +++---- MD5 | 18 ++++++++-------- NEWS.md | 7 +++++- R/cso_get_data.R | 21 +++++++++++++++++- R/cso_get_geo.R | 11 ++++++++- R/cso_get_meta.R | 45 +++++++++++++++++++++++++++++++++++++++- R/cso_get_toc.R | 21 +++++++++++++++++- inst/doc/quick_start_guide.html | 35 ++++++++++++++++--------------- man/cso_disp_meta.Rd | 2 + man/cso_get_interval.Rd | 2 + 10 files changed, 135 insertions(+), 35 deletions(-)
Title: Statistical Tools for Filebacked Big Matrices
Description: Easy-to-use, efficient, flexible and scalable statistical tools.
Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping.
It provides for instance matrix operations, Principal Component Analysis,
sparse linear supervised models, utility functions and more
<doi:10.1093/bioinformatics/bty185>.
Author: Florian Privé [aut, cre],
Michael Blum [ths],
Hugues Aschard [ths]
Maintainer: Florian Privé <florian.prive.21@gmail.com>
Diff between bigstatsr versions 1.2.2 dated 2020-03-09 and 1.2.3 dated 2020-03-12
DESCRIPTION | 8 +- MD5 | 10 +-- man/big_cprodVec.Rd | 120 ++++++++++++++++++++--------------------- man/big_prodVec.Rd | 120 ++++++++++++++++++++--------------------- tests/testthat/test-spLinReg.R | 4 + tests/testthat/test-spLogReg.R | 2 6 files changed, 133 insertions(+), 131 deletions(-)
Title: Table Schema 'Frictionless Data'
Description: Allows to work with 'Table Schema' (<http://specs.frictionlessdata.io/table-schema/>). 'Table Schema' is well suited for use cases around handling and validating tabular data in text formats such as 'csv', but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format. The 'tableschema.r' package can load and validate any table schema descriptor, allow the creation and modification of descriptors, expose methods for reading and streaming data that conforms to a 'Table Schema' via the 'Tabular Data Resource' abstraction.
Author: Kleanthis Koupidis [aut, cre],
Lazaros Ioannidis [aut],
Charalampos Bratsas [aut],
Open Knowledge International [cph]
Maintainer: Kleanthis Koupidis <koupidis@okfn.gr>
Diff between tableschema.r versions 1.1.0 dated 2018-11-14 and 1.1.1 dated 2020-03-12
DESCRIPTION | 12 MD5 | 142 ++-- NAMESPACE | 2 NEWS.md | 17 R/constraints.checkRequired.R | 2 R/helpers.R | 3 R/table.R | 4 R/types.castBoolean.R | 4 R/types.castTime.R | 2 README.md | 1029 ++++++++++++++++++--------------- man/Constraints.Rd | 92 +- man/DEFAULT_DECIMAL_CHAR.Rd | 26 man/DEFAULT_GROUP_CHAR.Rd | 26 man/FALSE_VALUES.Rd | 26 man/Field.Rd | 367 ++++++----- man/Profile.Rd | 141 ++-- man/Profile.load.Rd | 32 - man/Readable.Rd | 207 ++++++ man/ReadableArray.Rd | 97 ++- man/ReadableConnection.Rd | 97 ++- man/Schema.Rd | 359 +++++++---- man/Schema.load.Rd | 232 +++---- man/TRUE_VALUES.Rd | 26 man/Table.Rd | 363 ++++++----- man/Table.load.Rd | 204 +++--- man/TableSchemaError.Rd | 63 +- man/Types.Rd | 122 ++- man/Writeable.Rd | 207 ++++++ man/constraints.checkEnum.Rd | 56 - man/constraints.checkMaxLength.Rd | 56 - man/constraints.checkMaximum.Rd | 64 +- man/constraints.checkMinLength.Rd | 56 - man/constraints.checkMinimum.Rd | 62 - man/constraints.checkPattern.Rd | 64 +- man/constraints.checkRequired.Rd | 72 +- man/constraints.checkUnique.Rd | 58 - man/durations.Rd | 55 - man/helpers.expandFieldDescriptor.Rd | 26 man/helpers.expandSchemaDescriptor.Rd | 26 man/helpers.from.json.to.list.Rd | 26 man/helpers.from.list.to.json.Rd | 26 man/helpers.retrieveDescriptor.Rd | 26 man/infer.Rd | 90 +- man/is.binary.Rd | 32 - man/is.email.Rd | 32 - man/is.uri.Rd | 32 - man/is.uuid.Rd | 32 - man/is.valid.Rd | 48 - man/is_empty.Rd | 26 man/is_integer.Rd | 26 man/is_object.Rd | 26 man/tableschema.r-package.Rd | 408 ++++++------- man/types.castAny.Rd | 66 +- man/types.castArray.Rd | 40 - man/types.castBoolean.Rd | 101 +-- man/types.castDate.Rd | 98 +-- man/types.castDatetime.Rd | 68 +- man/types.castDuration.Rd | 76 +- man/types.castGeojson.Rd | 40 - man/types.castGeopoint.Rd | 86 +- man/types.castInteger.Rd | 75 +- man/types.castList.Rd | 56 - man/types.castNumber.Rd | 131 ++-- man/types.castObject.Rd | 56 - man/types.castString.Rd | 88 +- man/types.castTime.Rd | 64 +- man/types.castYear.Rd | 54 - man/types.castYearmonth.Rd | 54 - man/validate.Rd | 46 - man/write_json.Rd | 30 tests/testthat/test-types.castString.R | 34 - tests/testthat/test-types.castTime.R | 6 72 files changed, 3801 insertions(+), 2797 deletions(-)
Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various
statistical models. Beyond computing p values, CIs, and other indices
for a wide variety of models (see support list of insight; Lüdecke,
Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package
implements features like bootstrapping or simulating of parameters and
models, feature reduction (feature extraction and variable selection)
as well as functions to describe data and variable characteristics
(e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>),
Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>),
Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>),
Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>),
Søren Højsgaard [aut],
Zen J. Lau [ctb]
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>
Diff between parameters versions 0.5.0 dated 2020-02-09 and 0.6.0 dated 2020-03-12
parameters-0.5.0/parameters/man/DRR.Rd |only parameters-0.5.0/parameters/man/ICA.Rd |only parameters-0.5.0/parameters/man/cmds.Rd |only parameters-0.6.0/parameters/DESCRIPTION | 6 parameters-0.6.0/parameters/MD5 | 256 +++---- parameters-0.6.0/parameters/NAMESPACE | 49 + parameters-0.6.0/parameters/NEWS.md | 51 + parameters-0.6.0/parameters/R/bootstrap_model.R | 6 parameters-0.6.0/parameters/R/bootstrap_parameters.R | 9 parameters-0.6.0/parameters/R/check_factorstructure.R | 2 parameters-0.6.0/parameters/R/ci.R | 16 parameters-0.6.0/parameters/R/ci_kenward.R | 15 parameters-0.6.0/parameters/R/ci_wald.R | 40 - parameters-0.6.0/parameters/R/cluster_analysis.R | 32 parameters-0.6.0/parameters/R/demean.R | 87 ++ parameters-0.6.0/parameters/R/describe_distribution.R | 59 + parameters-0.6.0/parameters/R/dof.R | 26 parameters-0.6.0/parameters/R/dof_kenward.R | 13 parameters-0.6.0/parameters/R/extract_parameters.R | 130 +++ parameters-0.6.0/parameters/R/factor_analysis.R | 4 parameters-0.6.0/parameters/R/format_model.R | 18 parameters-0.6.0/parameters/R/format_parameters.R | 15 parameters-0.6.0/parameters/R/model_parameters.BayesFM.R | 15 parameters-0.6.0/parameters/R/model_parameters.R | 2 parameters-0.6.0/parameters/R/model_parameters.bayesian.R | 53 + parameters-0.6.0/parameters/R/model_parameters.gam.R | 4 parameters-0.6.0/parameters/R/model_parameters.lavaan.R | 17 parameters-0.6.0/parameters/R/model_parameters.multinom.R | 3 parameters-0.6.0/parameters/R/model_parameters.rma.R | 2 parameters-0.6.0/parameters/R/model_parameters.wbm.R | 3 parameters-0.6.0/parameters/R/model_parameters.zeroinfl.R | 7 parameters-0.6.0/parameters/R/model_parameters_default.R | 21 parameters-0.6.0/parameters/R/model_parameters_mixed.R | 15 parameters-0.6.0/parameters/R/n_factors.R | 11 parameters-0.6.0/parameters/R/n_parameters.R | 5 parameters-0.6.0/parameters/R/p_value.R | 82 ++ parameters-0.6.0/parameters/R/p_value_betwithin.R | 2 parameters-0.6.0/parameters/R/p_value_kenward.R | 57 + parameters-0.6.0/parameters/R/p_value_ml1.R | 2 parameters-0.6.0/parameters/R/p_value_satterthwaite.R | 6 parameters-0.6.0/parameters/R/plot.R | 9 parameters-0.6.0/parameters/R/principal_components.R | 10 parameters-0.6.0/parameters/R/print.parameters_model.R | 79 ++ parameters-0.6.0/parameters/R/random_parameters.R | 5 parameters-0.6.0/parameters/R/reduce_parameters.R | 100 +-- parameters-0.6.0/parameters/R/robust_estimation.R | 14 parameters-0.6.0/parameters/R/se_kenward.R | 1 parameters-0.6.0/parameters/R/select_parameters.R | 15 parameters-0.6.0/parameters/R/select_parameters.stanreg.R | 4 parameters-0.6.0/parameters/R/simulate_model.R | 35 - parameters-0.6.0/parameters/R/simulate_parameters.R | 29 parameters-0.6.0/parameters/R/skewness_kurtosis.R | 266 +++++--- parameters-0.6.0/parameters/R/smoothness.R | 62 + parameters-0.6.0/parameters/R/standard_error.R | 108 +++ parameters-0.6.0/parameters/R/utils_model_parameters.R | 13 parameters-0.6.0/parameters/R/utils_pca_efa.R | 76 +- parameters-0.6.0/parameters/README.md | 125 ++- parameters-0.6.0/parameters/build/partial.rdb |binary parameters-0.6.0/parameters/build/vignette.rds |binary parameters-0.6.0/parameters/inst/WORDLIST | 1 parameters-0.6.0/parameters/inst/doc/efa_cfa.R | 2 parameters-0.6.0/parameters/inst/doc/efa_cfa.Rmd | 2 parameters-0.6.0/parameters/inst/doc/efa_cfa.html | 184 ++--- parameters-0.6.0/parameters/inst/doc/model_parameters.R | 73 +- parameters-0.6.0/parameters/inst/doc/model_parameters.Rmd | 49 + parameters-0.6.0/parameters/inst/doc/model_parameters.html | 332 ++++------ parameters-0.6.0/parameters/inst/doc/model_parameters_robust.R | 2 parameters-0.6.0/parameters/inst/doc/model_parameters_robust.Rmd | 2 parameters-0.6.0/parameters/inst/doc/model_parameters_robust.html | 160 ++-- parameters-0.6.0/parameters/inst/doc/model_parameters_standardized.R | 2 parameters-0.6.0/parameters/inst/doc/model_parameters_standardized.Rmd | 2 parameters-0.6.0/parameters/inst/doc/model_parameters_standardized.html | 108 +-- parameters-0.6.0/parameters/inst/doc/parameters_reduction.R | 2 parameters-0.6.0/parameters/inst/doc/parameters_reduction.Rmd | 2 parameters-0.6.0/parameters/inst/doc/parameters_reduction.html | 106 +-- parameters-0.6.0/parameters/inst/doc/parameters_selection.R | 2 parameters-0.6.0/parameters/inst/doc/parameters_selection.Rmd | 4 parameters-0.6.0/parameters/inst/doc/parameters_selection.html | 276 ++++---- parameters-0.6.0/parameters/man/bootstrap_model.Rd | 3 parameters-0.6.0/parameters/man/bootstrap_parameters.Rd | 25 parameters-0.6.0/parameters/man/check_factorstructure.Rd | 2 parameters-0.6.0/parameters/man/cluster_analysis.Rd | 6 parameters-0.6.0/parameters/man/degrees_of_freedom.Rd | 14 parameters-0.6.0/parameters/man/demean.Rd | 60 + parameters-0.6.0/parameters/man/describe_distribution.Rd | 12 parameters-0.6.0/parameters/man/factor_analysis.Rd | 10 parameters-0.6.0/parameters/man/figures/figure1.png |binary parameters-0.6.0/parameters/man/figures/figure2.png |binary parameters-0.6.0/parameters/man/figures/logo.png |binary parameters-0.6.0/parameters/man/model_parameters.Rd | 2 parameters-0.6.0/parameters/man/model_parameters.befa.Rd | 14 parameters-0.6.0/parameters/man/model_parameters.default.Rd | 8 parameters-0.6.0/parameters/man/model_parameters.gam.Rd | 5 parameters-0.6.0/parameters/man/model_parameters.lavaan.Rd | 2 parameters-0.6.0/parameters/man/model_parameters.merMod.Rd | 14 parameters-0.6.0/parameters/man/model_parameters.mlm.Rd | 7 parameters-0.6.0/parameters/man/model_parameters.rma.Rd | 4 parameters-0.6.0/parameters/man/model_parameters.stanreg.Rd | 20 parameters-0.6.0/parameters/man/model_parameters.zeroinfl.Rd | 5 parameters-0.6.0/parameters/man/n_factors.Rd | 17 parameters-0.6.0/parameters/man/n_parameters.Rd | 5 parameters-0.6.0/parameters/man/p_value.Rd | 10 parameters-0.6.0/parameters/man/p_value_kenward.Rd | 2 parameters-0.6.0/parameters/man/principal_components.Rd | 11 parameters-0.6.0/parameters/man/random_parameters.Rd | 1 parameters-0.6.0/parameters/man/reduce_parameters.Rd | 29 parameters-0.6.0/parameters/man/reshape_loadings.Rd | 2 parameters-0.6.0/parameters/man/select_parameters.Rd | 13 parameters-0.6.0/parameters/man/simulate_model.Rd | 27 parameters-0.6.0/parameters/man/simulate_parameters.Rd | 28 parameters-0.6.0/parameters/man/skewness.Rd | 24 parameters-0.6.0/parameters/man/smoothness.Rd | 6 parameters-0.6.0/parameters/man/standard_error.Rd | 3 parameters-0.6.0/parameters/tests/testthat/test-backticks.R | 10 parameters-0.6.0/parameters/tests/testthat/test-checks.R | 1 parameters-0.6.0/parameters/tests/testthat/test-describe_distribution.R | 2 parameters-0.6.0/parameters/tests/testthat/test-distributions.R | 8 parameters-0.6.0/parameters/tests/testthat/test-format_parameters.R | 13 parameters-0.6.0/parameters/tests/testthat/test-glmmTMB.R | 258 +++---- parameters-0.6.0/parameters/tests/testthat/test-lmerTest.R |only parameters-0.6.0/parameters/tests/testthat/test-model_parameters.aov.R | 3 parameters-0.6.0/parameters/tests/testthat/test-model_parameters_df_method.R | 28 parameters-0.6.0/parameters/tests/testthat/test-model_parameters_std_mixed.R | 2 parameters-0.6.0/parameters/tests/testthat/test-p_value.R | 6 parameters-0.6.0/parameters/tests/testthat/test-skewness.R | 24 parameters-0.6.0/parameters/vignettes/efa_cfa.Rmd | 2 parameters-0.6.0/parameters/vignettes/model_parameters.Rmd | 49 + parameters-0.6.0/parameters/vignettes/model_parameters_robust.Rmd | 2 parameters-0.6.0/parameters/vignettes/model_parameters_standardized.Rmd | 2 parameters-0.6.0/parameters/vignettes/parameters_reduction.Rmd | 2 parameters-0.6.0/parameters/vignettes/parameters_selection.Rmd | 4 131 files changed, 2680 insertions(+), 1530 deletions(-)
Title: Filter Based Feature Selection for 'mlr3'
Description: Extends 'mlr3' with filter methods for feature
selection. Besides standalone filter methods built-in methods of any
machine-learning algorithm are supported. Partial scoring of
multivariate filter methods is supported.
Author: Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>),
Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>),
Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>),
Martin Binder [aut]
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>
Diff between mlr3filters versions 0.1.1 dated 2019-12-08 and 0.2.0 dated 2020-03-12
mlr3filters-0.1.1/mlr3filters/man/FilterAUC.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterAnova.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterCMIM.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterCarScore.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterCorrelation.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterDISR.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterImportance.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterInformationGain.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterJMI.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterJMIM.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterKruskalTest.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterMIM.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterMRMR.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterNJMIM.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterPerformance.Rd |only mlr3filters-0.1.1/mlr3filters/man/FilterVariance.Rd |only mlr3filters-0.2.0/mlr3filters/DESCRIPTION | 27 - mlr3filters-0.2.0/mlr3filters/MD5 | 89 ++- mlr3filters-0.2.0/mlr3filters/NAMESPACE | 1 mlr3filters-0.2.0/mlr3filters/NEWS.md | 25 + mlr3filters-0.2.0/mlr3filters/R/Filter.R | 138 +++--- mlr3filters-0.2.0/mlr3filters/R/FilterAUC.R | 69 ++- mlr3filters-0.2.0/mlr3filters/R/FilterAnova.R | 62 +- mlr3filters-0.2.0/mlr3filters/R/FilterCMIM.R | 56 +- mlr3filters-0.2.0/mlr3filters/R/FilterCarScore.R | 62 +- mlr3filters-0.2.0/mlr3filters/R/FilterCorrelation.R | 64 +- mlr3filters-0.2.0/mlr3filters/R/FilterDISR.R | 57 +- mlr3filters-0.2.0/mlr3filters/R/FilterFindCorrelation.R |only mlr3filters-0.2.0/mlr3filters/R/FilterImportance.R | 64 +- mlr3filters-0.2.0/mlr3filters/R/FilterInformationGain.R | 64 +- mlr3filters-0.2.0/mlr3filters/R/FilterJMI.R | 57 +- mlr3filters-0.2.0/mlr3filters/R/FilterJMIM.R | 57 +- mlr3filters-0.2.0/mlr3filters/R/FilterKruskalTest.R | 70 +-- mlr3filters-0.2.0/mlr3filters/R/FilterMIM.R | 57 +- mlr3filters-0.2.0/mlr3filters/R/FilterMRMR.R | 57 +- mlr3filters-0.2.0/mlr3filters/R/FilterNJMIM.R | 58 +- mlr3filters-0.2.0/mlr3filters/R/FilterPerformance.R | 82 ++- mlr3filters-0.2.0/mlr3filters/R/FilterVariance.R | 57 +- mlr3filters-0.2.0/mlr3filters/README.md | 67 +-- mlr3filters-0.2.0/mlr3filters/man/Filter.Rd | 223 +++++++--- mlr3filters-0.2.0/mlr3filters/man/flt.Rd | 6 mlr3filters-0.2.0/mlr3filters/man/mlr3filters-package.Rd | 1 mlr3filters-0.2.0/mlr3filters/man/mlr_filters.Rd | 35 - mlr3filters-0.2.0/mlr3filters/man/mlr_filters_anova.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_auc.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_carscore.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_cmim.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_correlation.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_disr.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_find_correlation.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_information_gain.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_jmi.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_jmim.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_kruskal_test.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_mim.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_mrmr.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_njmim.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_performance.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_variable_importance.Rd |only mlr3filters-0.2.0/mlr3filters/man/mlr_filters_variance.Rd |only mlr3filters-0.2.0/mlr3filters/tests/testthat/helper.R | 4 mlr3filters-0.2.0/mlr3filters/tests/testthat/test_FilterFindCorrelation.R |only mlr3filters-0.2.0/mlr3filters/tests/testthat/test_filter.R | 3 63 files changed, 1011 insertions(+), 601 deletions(-)
Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.
Author: Gunter Maris, Timo Bechger, Jesse Koops, Ivailo Partchev
Maintainer: Jesse Koops <jesse.koops@cito.nl>
Diff between dexter versions 1.0.5 dated 2020-02-14 and 1.0.6 dated 2020-03-12
DESCRIPTION | 6 +-- MD5 | 30 ++++++++--------- NEWS | 4 ++ R/anon_calibration.R | 2 - R/enorm.R | 10 +++++ R/plausible_scores.R | 3 + R/plausible_values.R | 3 + R/resp_data.R | 9 ++++- R/solaris_cml.R | 30 +++++++++++++++-- R/tia.R | 5 +- inst/doc/DIF_vignette.html | 4 +- inst/doc/Dexter.html | 52 +++++++++++++++--------------- inst/doc/Equating.html | 10 ++--- inst/doc/Plausible_Values.html | 14 ++++---- inst/doc/Profile-plots.html | 4 +- inst/doc/Test_Individual_differences.html | 14 ++++---- 16 files changed, 126 insertions(+), 74 deletions(-)
Title: Optimum Contribution Selection and Population Genetics
Description: A framework for the optimization of breeding programs via optimum contribution selection and mate allocation. An easy to use set of function for computation of optimum contributions of selection candidates, and of the population genetic parameters to be optimized. These parameters can be estimated using pedigree or genotype information, and include kinships, kinships at native haplotype segments, and breed composition of crossbred individuals. They are suitable for managing genetic diversity, removing introgressed genetic material, and accelerating genetic gain. Additionally, functions are provided for computing genetic contributions from ancestors, inbreeding coefficients, the native effective size, the native genome equivalent, pedigree completeness, and for preparing and plotting pedigrees.
Author: Robin Wellmann
Maintainer: Robin Wellmann <r.wellmann@uni-hohenheim.de>
Diff between optiSel versions 2.0.2 dated 2018-08-24 and 2.0.3 dated 2020-03-12
optiSel-2.0.2/optiSel/inst/doc/ped-vignette_files |only optiSel-2.0.2/optiSel/src/rcpp_nativecont.cpp |only optiSel-2.0.3/optiSel/DESCRIPTION | 10 optiSel-2.0.3/optiSel/MD5 | 61 - optiSel-2.0.3/optiSel/R/RcppExports.R | 4 optiSel-2.0.3/optiSel/R/bc4candes.R | 4 optiSel-2.0.3/optiSel/R/candes.R | 4 optiSel-2.0.3/optiSel/R/extractKinships.R | 10 optiSel-2.0.3/optiSel/R/f4cand.R | 8 optiSel-2.0.3/optiSel/R/opticont.R | 4 optiSel-2.0.3/optiSel/build/partial.rdb |binary optiSel-2.0.3/optiSel/build/vignette.rds |binary optiSel-2.0.3/optiSel/data/Cattle.rda |binary optiSel-2.0.3/optiSel/data/ExamplePed.rda |binary optiSel-2.0.3/optiSel/data/PedigWithErrors.rda |binary optiSel-2.0.3/optiSel/data/Phen.rda |binary optiSel-2.0.3/optiSel/data/map.rda |binary optiSel-2.0.3/optiSel/inst/doc/ocs-vignette.R | 168 ++-- optiSel-2.0.3/optiSel/inst/doc/ocs-vignette.Rmd | 44 - optiSel-2.0.3/optiSel/inst/doc/ocs-vignette.html | 892 +++++++++++++--------- optiSel-2.0.3/optiSel/inst/doc/ped-vignette.R | 52 - optiSel-2.0.3/optiSel/inst/doc/ped-vignette.html | 538 +++++++++---- optiSel-2.0.3/optiSel/inst/doc/seg-vignette.R | 62 - optiSel-2.0.3/optiSel/inst/doc/seg-vignette.html | 442 ++++++++-- optiSel-2.0.3/optiSel/man/ExamplePed.Rd | 2 optiSel-2.0.3/optiSel/man/PedigWithErrors.Rd | 2 optiSel-2.0.3/optiSel/man/Phen.Rd | 2 optiSel-2.0.3/optiSel/man/opticont.Rd | 24 optiSel-2.0.3/optiSel/src/RcppExports.cpp | 17 optiSel-2.0.3/optiSel/src/rcpp_segBreedComp.cpp | 25 optiSel-2.0.3/optiSel/src/rcpp_segN.cpp | 21 optiSel-2.0.3/optiSel/vignettes/ocs-vignette.Rmd | 44 - 32 files changed, 1556 insertions(+), 884 deletions(-)
Title: Shed Light on Black Box Machine Learning Models
Description: Shed light on black box machine learning models by
the help of model performance, variable importance, global surrogate
models, ICE profiles, partial dependence (Friedman J. H. (2001)
<doi:10.1214/aos/1013203451>), accumulated local effects (Apley D. W.
(2016) <arXiv:1612.08468>), further effects plots, scatter plots,
interaction strength, and variable contribution breakdown (approximate
SHAP) for single observations (Gosiewska and Biecek (2019)
<arxiv:1903.11420>). All tools are implemented to work with case
weights and allow for stratified analysis. Furthermore, multiple
flashlights can be combined and analyzed together.
Author: Michael Mayer [aut, cre, cph]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Diff between flashlight versions 0.6.0 dated 2020-01-19 and 0.7.0 dated 2020-03-12
DESCRIPTION | 16 MD5 | 32 - NAMESPACE | 12 NEWS.md | 8 R/grouped_counts.R | 1 R/is_flashlight.R | 11 R/light_global_surrogate.R |only R/plot_light_global_surrogate.R |only R/print_light.R | 4 README.md | 5 build/vignette.rds |binary inst/doc/flashlight.R | 13 inst/doc/flashlight.Rmd | 37 + inst/doc/flashlight.html | 878 +++++++++++++++++++------------------ man/is.flashlight.Rd | 10 man/light_global_surrogate.Rd |only man/plot.light_global_surrogate.Rd |only vignettes/biblio.bib | 22 vignettes/flashlight.Rmd | 37 + 19 files changed, 629 insertions(+), 457 deletions(-)
Title: Analytic Insurance Rating Techniques
Description: Methods for insurance rating. It provides a data driven strategy for the construction of
insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>.
The package also adds functionality showing additional lines for the reference
categories in the levels of the coefficients in the output of a generalized linear regression analysis.
In addition it implements a procedure determining the level of a factor with the largest exposure,
and thereafter changing the base level of the factor to this level.
Author: Martin Haringa
Maintainer: Martin Haringa <mtharinga@gmail.com>
Diff between insurancerating versions 0.4.3 dated 2019-11-01 and 0.5.0 dated 2020-03-12
insurancerating-0.4.3/insurancerating/man/autoplot.insurancerating.Rd |only insurancerating-0.5.0/insurancerating/DESCRIPTION | 13 insurancerating-0.5.0/insurancerating/MD5 | 26 - insurancerating-0.5.0/insurancerating/NAMESPACE | 7 insurancerating-0.5.0/insurancerating/NEWS.md | 5 insurancerating-0.5.0/insurancerating/R/construct_tariff_classes.R | 237 +--------- insurancerating-0.5.0/insurancerating/R/fit_gam.R |only insurancerating-0.5.0/insurancerating/R/plot_fitgam.R |only insurancerating-0.5.0/insurancerating/R/plot_tariff_classes.R | 53 +- insurancerating-0.5.0/insurancerating/build |only insurancerating-0.5.0/insurancerating/inst |only insurancerating-0.5.0/insurancerating/man/autoplot.constructtariffclasses.Rd |only insurancerating-0.5.0/insurancerating/man/autoplot.fitgam.Rd |only insurancerating-0.5.0/insurancerating/man/construct_tariff_classes.Rd | 61 +- insurancerating-0.5.0/insurancerating/man/fit_gam.Rd |only insurancerating-0.5.0/insurancerating/tests/testthat/test_construct_tariff_classes.R | 4 insurancerating-0.5.0/insurancerating/vignettes |only 17 files changed, 124 insertions(+), 282 deletions(-)
More information about insurancerating at CRAN
Permanent link
Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'camel style' was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell [aut, cre],
Ken Aho [ctb],
Andreas Alfons [ctb],
Nanina Anderegg [ctb],
Tomas Aragon [ctb],
Antti Arppe [ctb],
Adrian Baddeley [ctb],
Kamil Barton [ctb],
Ben Bolker [ctb],
Hans W. Borchers [ctb],
Frederico Caeiro [ctb],
Stephane Champely [ctb],
Daniel Chessel [ctb],
Leanne Chhay [ctb],
Clint Cummins [ctb],
Michael Dewey [ctb],
Harold C. Doran [ctb],
Stephane Dray [ctb],
Charles Dupont [ctb],
Dirk Eddelbuettel [ctb],
Jeff Enos [ctb],
Claus Ekstrom [ctb],
Martin Elff [ctb],
Kamil Erguler [ctb],
Richard W. Farebrother [ctb],
John Fox [ctb],
Romain Francois [ctb],
Michael Friendly [ctb],
Tal Galili [ctb],
Matthias Gamer [ctb],
Joseph L. Gastwirth [ctb],
Yulia R. Gel [ctb],
Vilmantas Gegzna [ctb],
Juergen Gross [ctb],
Gabor Grothendieck [ctb],
Frank E. Harrell Jr [ctb],
Richard Heiberger [ctb],
Michael Hoehle [ctb],
Christian W. Hoffmann [ctb],
Soeren Hojsgaard [ctb],
Torsten Hothorn [ctb],
Markus Huerzeler [ctb],
Wallace W. Hui [ctb],
Pete Hurd [ctb],
Rob J. Hyndman [ctb],
Pablo J. Villacorta Iglesias [ctb],
Christopher Jackson [ctb],
Matthias Kohl [ctb],
Mikko Korpela [ctb],
Max Kuhn [ctb],
Detlew Labes [ctb],
Duncan Temple Lang [ctb],
Friederich Leisch [ctb],
Jim Lemon [ctb],
Dong Li [ctb],
Martin Maechler [ctb],
Arni Magnusson [ctb],
Daniel Malter [ctb],
George Marsaglia [ctb],
John Marsaglia [ctb],
Alina Matei [ctb],
David Meyer [ctb],
Weiwen Miao [ctb],
Giovanni Millo [ctb],
Yongyi Min [ctb],
David Mitchell [ctb],
Franziska Mueller [ctb],
Markus Naepflin [ctb],
Daniel Navarro [ctb],
Henric Nilsson [ctb],
Klaus Nordhausen [ctb],
Derek Ogle [ctb],
Hong Ooi [ctb],
Nick Parsons [ctb],
Sandrine Pavoine [ctb],
Tony Plate [ctb],
Roland Rapold [ctb],
William Revelle [ctb],
Tyler Rinker [ctb],
Brian D. Ripley [ctb],
Caroline Rodriguez [ctb],
Nathan Russell [ctb],
Nick Sabbe [ctb],
Venkatraman E. Seshan [ctb],
Greg Snow [ctb],
Michael Smithson [ctb],
Karline Soetaert [ctb],
Werner A. Stahel [ctb],
Alec Stephenson [ctb],
Mark Stevenson [ctb],
Ralf Stubner [ctb],
Matthias Templ [ctb],
Terry Therneau [ctb],
Yves Tille [ctb],
Luis Torgo [ctb],
Adrian Trapletti [ctb],
Joshua Ulrich [ctb],
Kevin Ushey [ctb],
Jeremy VanDerWal [ctb],
Bill Venables [ctb],
John Verzani [ctb],
Gregory R. Warnes [ctb],
Stefan Wellek [ctb],
Hadley Wickham [ctb],
Rand R. Wilcox [ctb],
Peter Wolf [ctb],
Daniel Wollschlaeger [ctb],
Joseph Wood [ctb],
Ying Wu [ctb],
Thomas Yee [ctb],
Achim Zeileis [ctb]
Maintainer: Andri Signorell <andri@signorell.net>
Diff between DescTools versions 0.99.33 dated 2020-03-10 and 0.99.34 dated 2020-03-12
DESCRIPTION | 8 ++++---- MD5 | 18 +++++++++--------- NEWS | 16 ++++++++++++++++ R/DescTools.r | 13 ++++++++----- R/Tests.r | 13 ++++++++++--- inst/doc/Combinatorics.pdf |binary inst/doc/DescToolsCompanion.pdf |binary inst/doc/TablesInR.pdf |binary man/Mode.Rd | 36 +++++++++++++++++++++--------------- man/TextContrastColor.Rd | 11 +++++++---- 10 files changed, 75 insertions(+), 40 deletions(-)
Title: Categorical Data Analysis Program Package
Description: Categorical data analysis by AIC. The methodology is described in
Sakamoto (1992) <ISBN 978-0-7923-1429-5>.
Author: The Institute of Statistical Mathematics
Maintainer: Masami Saga <msaga@mtb.biglobe.ne.jp>
Diff between catdap versions 1.3.4 dated 2018-03-20 and 1.3.5 dated 2020-03-12
DESCRIPTION | 6 MD5 | 22 - R/catdap.R | 511 ++++++++++++++++++++++----------------------- data/HealthData.rda |binary data/HelloGoodbye.rda |binary data/JNcharacter.rda |binary data/MissingHealthData.rda |binary man/HealthData.Rd | 8 man/MissingHealthData.Rd | 8 man/catdap1.Rd | 3 man/catdap2.Rd | 27 +- src/catdap2mf.f | 15 - 12 files changed, 301 insertions(+), 299 deletions(-)
Title: A Tidy Tool for Phylogenetic Tree Data Manipulation
Description: Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data.
Author: Guangchuang Yu [aut, cre, cph]
(<https://orcid.org/0000-0002-6485-8781>),
Bradley Jones [ctb],
Zebulun Arendsee [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Diff between tidytree versions 0.3.1 dated 2019-12-14 and 0.3.2 dated 2020-03-12
DESCRIPTION | 8 +++--- MD5 | 18 ++++++------- NAMESPACE | 2 - NEWS.md | 6 ++++ R/mutate.R | 6 ---- build/vignette.rds |binary inst/doc/tidytree.html | 17 +++++++++++- man/offspring.Rd | 3 -- man/reexports.Rd | 4 +-- tests/testthat/test-access-related-nodes.R | 38 +++++++++++++++++++---------- 10 files changed, 63 insertions(+), 39 deletions(-)
Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web
applications with R. Automatic "reactive" binding between inputs and
outputs and extensive prebuilt widgets make it possible to build
beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut, cre],
Joe Cheng [aut],
JJ Allaire [aut],
Yihui Xie [aut],
Jonathan McPherson [aut],
RStudio [cph],
jQuery Foundation [cph] (jQuery library and jQuery UI library),
jQuery contributors [ctb, cph] (jQuery library; authors listed in
inst/www/shared/jquery-AUTHORS.txt),
jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in
inst/www/shared/jqueryui/AUTHORS.txt),
Mark Otto [ctb] (Bootstrap library),
Jacob Thornton [ctb] (Bootstrap library),
Bootstrap contributors [ctb] (Bootstrap library),
Twitter, Inc [cph] (Bootstrap library),
Alexander Farkas [ctb, cph] (html5shiv library),
Scott Jehl [ctb, cph] (Respond.js library),
Stefan Petre [ctb, cph] (Bootstrap-datepicker library),
Andrew Rowls [ctb, cph] (Bootstrap-datepicker library),
Dave Gandy [ctb, cph] (Font-Awesome font),
Brian Reavis [ctb, cph] (selectize.js library),
Kristopher Michael Kowal [ctb, cph] (es5-shim library),
es5-shim contributors [ctb, cph] (es5-shim library),
Denis Ineshin [ctb, cph] (ion.rangeSlider library),
Sami Samhuri [ctb, cph] (Javascript strftime library),
SpryMedia Limited [ctb, cph] (DataTables library),
John Fraser [ctb, cph] (showdown.js library),
John Gruber [ctb, cph] (showdown.js library),
Ivan Sagalaev [ctb, cph] (highlight.js library),
R Core Team [ctb, cph] (tar implementation from R)
Maintainer: Winston Chang <winston@rstudio.com>
Diff between shiny versions 1.4.0 dated 2019-10-10 and 1.4.0.1 dated 2020-03-12
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 5 +++++ R/render-plot.R | 18 +++++++++++++++--- inst/www/shared/shiny.js | 2 +- inst/www/shared/shiny.js.map | 2 +- inst/www/shared/shiny.min.js | 8 ++++---- inst/www/shared/shiny.min.js.map | 2 +- 8 files changed, 37 insertions(+), 20 deletions(-)
Title: R Interface to DSDP Semidefinite Programming Library
Description: R interface to DSDP semidefinite programming library. The DSDP software is a free open source implementation of an interior-point method for semidefinite programming. It provides primal and dual solutions, exploits low-rank structure and sparsity in the data, and has relatively low memory requirements for an interior-point method.
Author: Zhisu Zhu, Yinyu Ye (DSDP by Steve Benson, Yinyu Ye and Xiong Zhang)
Maintainer: Zhisu Zhu <zhuzhisu@alumni.stanford.edu>
Diff between Rdsdp versions 1.0.4-2 dated 2016-04-24 and 1.0.5 dated 2020-03-12
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NAMESPACE | 2 +- configure | 1 - configure.ac | 2 +- src/Rdsdp.c | 20 ++++++++++++++------ src/Rreadsdpa.c | 29 ++++++++++++++++------------- src/dsdp/src/solver/dsdpsetoptions.c | 7 ++++--- 8 files changed, 46 insertions(+), 35 deletions(-)
Title: Multinomial Logit Models
Description: Maximum Likelihood estimation of random utility discrete
choice models, as described in Kenneth Train (2009) Discrete Choice
Methods with Simulations <doi:10.1017/CBO9780511805271>.
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
Diff between mlogit versions 1.0-3 dated 2020-03-07 and 1.0-3.1 dated 2020-03-12
DESCRIPTION | 8 ++++---- MD5 | 26 +++++++++++++------------- NEWS.md | 4 +++- R/methods.R | 4 +++- build/partial.rdb |binary inst/doc/c6.mprobit.html | 2 +- inst/doc/e1mlogit.html | 4 ++-- inst/doc/e2nlogit.html | 4 ++-- inst/doc/e3mxlogit.html | 8 ++++---- inst/doc/e4mprobit.html | 4 ++-- man/effects.mlogit.Rd | 4 +++- tests/AER.Rout.save | 2 +- tests/Examples/mlogit-Ex.Rout.save | 11 ++++------- tests/greene.Rout.save | 2 +- 14 files changed, 43 insertions(+), 40 deletions(-)
Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov
chains more easily. In addition functions to perform statistical (fitting
and drawing random variates) and probabilistic (analysis of their structural
proprieties) analysis are provided.
Author: Giorgio Alfredo Spedicato [aut, cre]
(<https://orcid.org/0000-0002-0315-8888>),
Tae Seung Kang [aut],
Sai Bhargav Yalamanchi [aut],
Mildenberger Thoralf [ctb] (<https://orcid.org/0000-0001-7242-1873>),
Deepak Yadav [aut],
Ignacio Cordón [aut] (<https://orcid.org/0000-0002-3152-0231>),
Vandit Jain [ctb],
Toni Giorgino [ctb] (<https://orcid.org/0000-0001-6449-0596>)
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>
Diff between markovchain versions 0.8.3 dated 2020-03-07 and 0.8.4 dated 2020-03-12
ChangeLog | 2 + DESCRIPTION | 8 ++--- MD5 | 18 ++++++------ NEWS | 4 +- inst/doc/an_introduction_to_markovchain_package.R | 26 +++++++++++++++-- inst/doc/an_introduction_to_markovchain_package.Rmd | 28 ++++++++++++++++--- inst/doc/an_introduction_to_markovchain_package.pdf |binary inst/doc/gsoc_2017_additions.pdf |binary inst/doc/higher_order_markov_chains.pdf |binary vignettes/an_introduction_to_markovchain_package.Rmd | 28 ++++++++++++++++--- 10 files changed, 88 insertions(+), 26 deletions(-)
Title: Goodness-of-Fit Functions for Comparison of Simulated and
Observed Hydrological Time Series
Description: S3 functions implementing both statistical and graphical goodness-of-fit measures between observed and simulated values, mainly oriented to be used during the calibration, validation, and application of hydrological models. Missing values in observed and/or simulated values can be removed before computations. Comments / questions / collaboration of any kind are very welcomed.
Author: Mauricio Zambrano-Bigiarini [aut, cre, cph]
(<https://orcid.org/0000-0002-9536-643X>)
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel@gmail.com>
Diff between hydroGOF versions 0.3-10 dated 2017-08-08 and 0.4-0 dated 2020-03-12
hydroGOF-0.3-10/hydroGOF/inst/doc/hydroGOF_Vignette.Rnw |only hydroGOF-0.3-10/hydroGOF/vignettes/hydroGOF_Vignette.Rnw |only hydroGOF-0.4-0/hydroGOF/DESCRIPTION | 15 +-- hydroGOF-0.4-0/hydroGOF/MD5 | 28 ++--- hydroGOF-0.4-0/hydroGOF/NAMESPACE | 6 - hydroGOF-0.4-0/hydroGOF/NEWS | 11 +- hydroGOF-0.4-0/hydroGOF/R/br2.R | 31 +++--- hydroGOF-0.4-0/hydroGOF/build/vignette.rds |binary hydroGOF-0.4-0/hydroGOF/inst/CITATION | 10 +- hydroGOF-0.4-0/hydroGOF/inst/doc/hydroGOF_Vignette.R | 75 +++------------ hydroGOF-0.4-0/hydroGOF/inst/doc/hydroGOF_Vignette.Rmd |only hydroGOF-0.4-0/hydroGOF/inst/doc/hydroGOF_Vignette.pdf |binary hydroGOF-0.4-0/hydroGOF/man/KGE.Rd | 10 +- hydroGOF-0.4-0/hydroGOF/man/br2.Rd | 26 +++-- hydroGOF-0.4-0/hydroGOF/man/hydroGOF-package.Rd | 13 +- hydroGOF-0.4-0/hydroGOF/man/me.Rd | 6 - hydroGOF-0.4-0/hydroGOF/vignettes/hydroGOF_Vignette.Rmd |only 17 files changed, 110 insertions(+), 121 deletions(-)
Title: Generalized Random Forests
Description: A pluggable package for forest-based statistical estimation and inference.
GRF currently provides methods for non-parametric least-squares regression,
quantile regression, and treatment effect estimation (optionally using instrumental
variables).
Author: Julie Tibshirani [aut, cre],
Susan Athey [aut],
Rina Friedberg [ctb],
Vitor Hadad [ctb],
David Hirshberg [ctb],
Luke Miner [ctb],
Erik Sverdrup [ctb],
Stefan Wager [aut],
Marvin Wright [ctb]
Maintainer: Julie Tibshirani <jtibs@cs.stanford.edu>
Diff between grf versions 1.0.1 dated 2019-12-06 and 1.1.0 dated 2020-03-12
DESCRIPTION | 8 MD5 | 92 +++--- R/RcppExports.R | 4 R/analysis_tools.R | 9 R/average_late.R | 8 R/average_partial_effect.R | 16 - R/average_treatment_effect.R | 6 R/causal_forest.R | 6 R/custom_forest.R | 3 R/forest_summary.R | 112 +++++--- R/input_utilities.R | 36 ++ R/instrumental_forest.R | 5 R/local_linear_forest.R | 174 +++++++++--- R/plot.R | 51 ++- R/quantile_forest.R | 5 R/regression_forest.R | 6 R/tune_causal_forest.R | 8 R/tune_instrumental_forest.R | 8 R/tune_regression_forest.R | 8 R/tuning.R | 17 - man/best_linear_projection.Rd | 25 + man/create_dot_body.Rd | 8 man/export_graphviz.Rd | 4 man/get_sample_weights.Rd | 2 man/ll_regression_forest.Rd | 31 ++ man/plot.grf_tree.Rd | 8 man/tune_forest.Rd | 8 src/RcppExports.cpp | 35 ++ src/RcppUtilities.cpp | 6 src/RegressionForestBindings.cpp | 43 +++ src/src/commons/Data.cpp | 40 ++ src/src/commons/Data.h | 32 ++ src/src/forest/ForestTrainers.cpp | 16 + src/src/forest/ForestTrainers.h | 6 src/src/relabeling/LLRegressionRelabelingStrategy.cpp |only src/src/relabeling/LLRegressionRelabelingStrategy.h |only src/src/splitting/InstrumentalSplittingRule.cpp | 246 +++++++++++------- src/src/splitting/InstrumentalSplittingRule.h | 9 src/src/splitting/ProbabilitySplittingRule.cpp | 151 ++++++----- src/src/splitting/ProbabilitySplittingRule.h | 6 src/src/splitting/RegressionSplittingRule.cpp | 166 ++++++++---- src/src/splitting/RegressionSplittingRule.h | 13 src/src/splitting/SplittingRule.h | 5 src/src/tree/Tree.cpp | 14 - src/src/tree/Tree.h | 10 src/src/tree/TreeTrainer.cpp | 28 +- src/src/tree/TreeTrainer.h | 5 tests/testthat.R | 2 48 files changed, 1060 insertions(+), 441 deletions(-)
Title: Convert Plot to 'grob' or 'ggplot' Object
Description: Convert plot function call (using expression or formula) to 'grob' or 'ggplot' object that compatible to the 'grid' and 'ggplot2' ecosystem. With this package, we are able to e.g. using 'cowplot' to align plots produced by 'base' graphics, 'ComplexHeatmap', 'eulerr', 'grid', 'lattice', 'magick', 'pheatmap', 'vcd' etc. by converting them to 'ggplot' objects.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Diff between ggplotify versions 0.0.4 dated 2019-08-06 and 0.0.5 dated 2020-03-12
DESCRIPTION | 10 +++++----- MD5 | 27 ++++++++++++++------------- NAMESPACE | 1 + NEWS.md | 9 +++++++-- R/as-ggplot.R | 12 +++++++----- R/as-grob.R | 19 +++++++++++++++---- R/plot_fun.R | 22 +++++++++++----------- build/vignette.rds |binary inst/doc/ggplotify.R | 12 ++++++------ inst/doc/ggplotify.Rmd | 2 +- inst/doc/ggplotify.html | 43 ++++++++++++++++++++++++++++++------------- man/as-grob.Rd | 2 +- man/as.ggplot.Rd | 6 +++++- man/grid2grob.Rd |only vignettes/ggplotify.Rmd | 2 +- 15 files changed, 104 insertions(+), 63 deletions(-)
Title: Coordinate-Descent Algorithm for Learning Sparse Discrete
Bayesian Networks
Description: Structure learning of Bayesian network using coordinate-descent
algorithm. This algorithm is designed for discrete network assuming a multinomial data set,
and we use a multi-logit model to do the regression.
The algorithm is described in Gu, Fu and Zhou (2016) <arXiv:1403.2310>.
Author: Jiaying Gu [aut, cre]
Maintainer: Jiaying Gu <gujy.lola@gmail.com>
Diff between discretecdAlgorithm versions 0.0.6 dated 2019-12-23 and 0.0.7 dated 2020-03-12
DESCRIPTION | 6 +++--- MD5 | 4 ++-- tests/testthat/test-dat_transform.R | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-)
More information about discretecdAlgorithm at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-04-24 0.2-3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2020-02-26 0.1.0
Title: Estimation of Model-Based Predictions, Contrasts and Means
Description: Implements a general interface for model-based estimations for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), used in the computation of marginal means, contrast analysis and predictions.
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>),
Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>),
Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>
Diff between modelbased versions 0.1.1 dated 2020-01-26 and 0.1.2 dated 2020-03-12
DESCRIPTION | 6 +-- MD5 | 68 +++++++++++++++++----------------- NAMESPACE | 1 NEWS.md | 8 +++- R/estimate_contrasts.bayesian.R | 5 +- R/estimate_means.frequentist.R | 2 - R/estimate_response.bayesian.R | 10 ++--- R/estimate_smooth.R | 8 ++-- R/reshape_draws.R | 10 ++++- R/smoothing.R | 10 ++--- R/utils_estimate_response_init.R | 6 +-- R/utils_predict_wrapper.R | 14 +++---- R/visualisation_matrix.R | 10 ++--- README.md | 58 ++++++++++++++--------------- man/estimate_contrasts.Rd | 2 - man/estimate_contrasts.lm.Rd | 4 +- man/estimate_contrasts.stanreg.Rd | 7 +-- man/estimate_means.lm.Rd | 4 +- man/estimate_means.stanreg.Rd | 4 +- man/estimate_response.Rd | 2 - man/estimate_response.glm.Rd | 4 +- man/estimate_response.stanreg.Rd | 6 +-- man/estimate_slopes.lm.Rd | 2 - man/estimate_slopes.stanreg.Rd | 4 +- man/estimate_smooth.stanreg.Rd | 2 - man/figures/unnamed-chunk-13-1.png |binary man/figures/unnamed-chunk-4-1.png |binary man/figures/unnamed-chunk-5-1.png |binary man/figures/unnamed-chunk-8-1.png |binary man/reshape_draws.Rd | 4 +- man/smoothing.Rd | 2 - man/visualisation_matrix.Rd | 10 ++--- tests/testthat/test-estimate_slopes.R | 29 ++++++-------- tests/testthat/test-estimate_smooth.R | 4 +- tests/testthat/test-signal.R | 8 ++-- 35 files changed, 160 insertions(+), 154 deletions(-)
Title: Utilities for 'Glmnet'
Description: Provides a formula interface for the 'glmnet' package for
elasticnet regression, a method for cross-validating the alpha parameter,
and other quality-of-life tools.
Author: Microsoft [cph], Hong Ooi [aut, cre]
Maintainer: Hong Ooi <hongooi@microsoft.com>
Diff between glmnetUtils versions 1.1.4 dated 2019-12-12 and 1.1.5 dated 2020-03-12
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 4 ++++ R/makeModelComponents.r | 6 +++++- build/vignette.rds |binary inst/doc/intro.R | 22 +++++++++++----------- inst/doc/intro.html | 4 ++-- tests/testthat/test0_simple_mm.R | 26 +++++++++++++++++++++++++- 8 files changed, 57 insertions(+), 25 deletions(-)