Title: Create Pivot Tables
Description: Create regular pivot tables with just a few lines of R.
More complex pivot tables can also be created, e.g. pivot tables
with irregular layouts, multiple calculations and/or derived
calculations based on multiple data frames. Pivot tables are
constructed using R only and can be written to a range of
output formats (plain text, 'HTML', 'Latex' and 'Excel'),
including with styling/formatting.
Author: Christopher Bailiss [aut, cre]
Maintainer: Christopher Bailiss <cbailiss@gmail.com>
Diff between pivottabler versions 1.3.0 dated 2020-02-03 and 1.3.1 dated 2020-04-01
DESCRIPTION | 6 MD5 | 115 ++++--- NAMESPACE | 2 NEWS.md | 9 R/PivotTable.R | 44 +- README.md | 1 build/vignette.rds |binary inst/doc/v00-vignettes.R |only inst/doc/v00-vignettes.Rmd | 427 +++++++++++++++++++++++++- inst/doc/v00-vignettes.html | 431 ++++++++++++++++++++++++++ man/PivotBatch.Rd | 110 +++--- man/PivotBatchCalculator.Rd | 118 +++---- man/PivotBatchStatistics.Rd | 80 ++-- man/PivotCalculation.Rd | 172 +++++----- man/PivotCalculationGroup.Rd | 114 +++--- man/PivotCalculationGroups.Rd | 92 ++--- man/PivotCalculator.Rd | 200 ++++++------ man/PivotCell.Rd | 184 +++++------ man/PivotCells.Rd | 122 +++---- man/PivotData.Rd | 92 ++--- man/PivotDataGroup.Rd | 362 +++++++++++----------- man/PivotFilter.Rd | 124 +++---- man/PivotFilterOverrides.Rd | 176 +++++----- man/PivotFilters.Rd | 174 +++++----- man/PivotHtmlRenderer.Rd | 88 ++--- man/PivotLatexRenderer.Rd | 94 ++--- man/PivotOpenXlsxRenderer.Rd | 88 ++--- man/PivotOpenXlsxStyle.Rd | 220 ++++++------- man/PivotOpenXlsxStyles.Rd | 92 ++--- man/PivotStyle.Rd | 110 +++--- man/PivotStyles.Rd | 182 +++++------ man/PivotTable.Rd | 554 +++++++++++++++++----------------- man/checkArgument.Rd | 148 ++++----- man/convertPvtTblToBasicTbl.Rd | 60 +-- man/exportValueAs.Rd | 56 +-- man/getSimpleColoredTheme.Rd | 54 +-- man/getStandardTableTheme.Rd | 36 +- man/pivottabler.Rd | 100 +++--- man/qhpvt.Rd | 140 ++++---- man/qlpvt.Rd | 74 ++-- man/qpvt.Rd | 132 ++++---- man/renderBasicTable.Rd | 50 +-- tests/testthat/test-24-exportTests2.R |only vignettes/intro-01.png |only vignettes/intro-02.png |only vignettes/intro-03.png |only vignettes/intro-04.png |only vignettes/intro-05.png |only vignettes/intro-06.png |only vignettes/intro-07.png |only vignettes/intro-08.png |only vignettes/intro-09.png |only vignettes/intro-10.png |only vignettes/intro-11.png |only vignettes/intro-12.png |only vignettes/intro-13.png |only vignettes/intro-14.png |only vignettes/intro-15.png |only vignettes/intro-16.png |only vignettes/intro-17.png |only vignettes/intro-18.png |only vignettes/intro-19.png |only vignettes/intro-20.png |only vignettes/intro-21.png |only vignettes/intro-22.png |only vignettes/intro-23.png |only vignettes/intro-24.png |only vignettes/intro-25.png |only vignettes/intro-26.png |only vignettes/intro-27.png |only vignettes/intro-28.png |only vignettes/intro-29.png |only vignettes/intro-30.png |only vignettes/intro-31.png |only vignettes/v00-vignettes.Rmd | 427 +++++++++++++++++++++++++- 75 files changed, 3583 insertions(+), 2277 deletions(-)
Title: Extract and Visualize the Results of Multivariate Data Analyses
Description: Provides some easy-to-use functions to extract and visualize the
output of multivariate data analyses, including 'PCA' (Principal Component
Analysis), 'CA' (Correspondence Analysis), 'MCA' (Multiple Correspondence
Analysis), 'FAMD' (Factor Analysis of Mixed Data), 'MFA' (Multiple Factor Analysis) and 'HMFA' (Hierarchical Multiple
Factor Analysis) functions from different R packages. It contains also functions
for simplifying some clustering analysis steps and provides 'ggplot2' - based
elegant data visualization.
Author: Alboukadel Kassambara [aut, cre],
Fabian Mundt [aut]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>
Diff between factoextra versions 1.0.6 dated 2019-12-05 and 1.0.7 dated 2020-04-01
DESCRIPTION | 10 ++--- MD5 | 86 +++++++++++++++++++++++----------------------- NEWS.md | 7 +++ R/facto_summarize.R | 14 +++---- R/fviz.R | 4 +- R/fviz_add.R | 2 - R/fviz_ca.R | 1 R/fviz_cluster.R | 10 ++--- R/fviz_contrib.R | 2 - R/fviz_dend.R | 8 ++-- R/fviz_mclust.R | 4 +- R/fviz_mfa.R | 2 - R/fviz_nbclust.R | 10 ++--- R/fviz_pca.R | 2 - R/fviz_silhouette.R | 6 +-- R/utilities.R | 23 +++++------- man/decathlon2.Rd | 6 ++- man/dist.Rd | 10 +++-- man/eclust.Rd | 20 ++++++++-- man/eigenvalue.Rd | 21 ++++++++--- man/facto_summarize.Rd | 11 ++++- man/fviz.Rd | 43 +++++++++++++++++------ man/fviz_add.Rd | 19 ++++++++-- man/fviz_ca.Rd | 53 +++++++++++++++++++++------- man/fviz_cluster.Rd | 34 +++++++++++++----- man/fviz_contrib.Rd | 30 ++++++++++++---- man/fviz_cos2.Rd | 16 ++++++-- man/fviz_dend.Rd | 34 ++++++++++++++---- man/fviz_ellipses.Rd | 15 ++++++-- man/fviz_famd.Rd | 39 +++++++++++++++----- man/fviz_hmfa.Rd | 54 +++++++++++++++++++++------- man/fviz_mca.Rd | 67 ++++++++++++++++++++++++++--------- man/fviz_mclust.Rd | 27 ++++++++++---- man/fviz_mfa.Rd | 65 ++++++++++++++++++++++++++-------- man/fviz_nbclust.Rd | 28 ++++++++++---- man/fviz_pca.Rd | 66 ++++++++++++++++++++++++++--------- man/get_clust_tendency.Rd | 9 +++- man/get_hmfa.Rd | 6 ++- man/get_mfa.Rd | 6 ++- man/hcut.Rd | 14 +++++-- man/hkmeans.Rd | 10 ++++- man/housetasks.Rd | 6 ++- man/multishapes.Rd | 6 ++- man/poison.Rd | 4 +- 44 files changed, 643 insertions(+), 267 deletions(-)
Title: Estimation and Inference Methods for Sorted Causal Effects and
Classification Analysis
Description: Implements the estimation and inference methods for sorted causal effects and
classification analysis as in Chernozhukov, Fernandez-Val and Luo (2018) <doi:10.3982/ECTA14415>.
Author: Shuowen Chen [aut, cre],
Victor Chernozhukov [aut],
Ivan Fernandez-Val [aut],
Ye Luo [aut]
Maintainer: Shuowen Chen <swchen@bu.edu>
Diff between SortedEffects versions 1.1.0 dated 2019-11-04 and 1.2.0 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 14 +++++++------- NEWS.md | 23 +++-------------------- R/ca.R | 2 ++ R/subpop.R | 2 ++ data/mortgage.rda |binary data/wage2015.rda |binary inst/doc/SortedEffects.html | 4 ++-- 8 files changed, 19 insertions(+), 32 deletions(-)
Title: Structural Equation Modeling and Confirmatory Network Analysis
Description: Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data <doi:10.31234/osf.io/8ha93>. Allows for confirmatory testing and fit as well as exploratory model search.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>
Diff between psychonetrics versions 0.6 dated 2020-02-21 and 0.7 dated 2020-04-01
DESCRIPTION | 11 MD5 | 343 +- NAMESPACE | 15 NEWS | 13 R/01_classes.R | 12 R/02_algebrahelpers_Solve.R | 90 R/02_algebrahelpers_checkJacobian.R | 26 R/02_algebrahelpers_lavUtils.R | 2 R/02_algebrahelpers_modelMatrix.R | 13 R/02_algebrahelpers_spectralshift.R | 4 R/02_algebrahelpers_vectorize.R | 6 R/02_algebrahelpers_vectorizeMatrices.R | 23 R/02_algebrahelpers_weighted_geomean.R |only R/02_modelformation_PCCPDC.R | 4 R/03_modelformation_defaultoptimizer.R |only R/03_modelformation_factorstart.R |only R/03_modelformation_fixAdj.R | 6 R/03_modelformation_formModelMatrices.R | 23 R/03_modelformation_impliedcovstructures.R | 51 R/03_modelformation_matrixSetup_delta.R | 12 R/03_modelformation_matrixSetup_kappa.R | 6 R/03_modelformation_matrixSetup_lambda.R | 103 R/03_modelformation_matrixSetup_omega.R | 16 R/03_modelformation_matrixSetup_sigma.R | 2 R/03_modelformation_missingpatterns.R | 83 R/03_modelformation_missingpatterns_covs.R | 2 R/03_modelformation_samplestats_norawts.R | 99 R/03_modelformation_sparseordense.R |only R/03_modelformation_tsData.R | 5 R/04_generalFit_fitfunction.R | 47 R/04_generalFit_gradient.R | 149 R/04_generalFit_logLikelihood.R | 6 R/04_generalfit_FisherInformation.R | 152 R/04_generalfit_VCOV.R | 7 R/04_generalfit_impliedModel.R | 40 R/04_generalfit_loglikelihood_Ising.R | 16 R/04_generalfit_loglikelihood_gauss.R | 77 R/04_generalfit_prepareModel.R | 63 R/04_modelformation_matrixSetup_flexcov.R | 9 R/05_MLestimator_expected_hessian_Ising.R | 4 R/05_MLestimator_fit_Gauss.R | 12 R/05_MLestimator_fit_Ising.R | 12 R/05_MLestimator_fitfunction.R | 24 R/05_MLestimator_gradient_Gauss.R | 12 R/05_MLestimator_gradient_Ising.R | 44 R/06_ULS_expectedHessian.R | 6 R/06_ULS_fitfunction.R | 33 R/06_ULS_gradient.R | 6 R/06_weightsMatrix.R | 2 R/07_FIMLestimator_expected_hessian_Gauss.R | 74 R/07_FIMLestimator_fit_Gauss.R | 73 R/07_FIMLestimator_fitfunction.R | 22 R/07_FIMLestimator_gradient_Gauss.R | 75 R/08_outputHelpers_goodNum.R | 15 R/09_modelmodifivation_emergencystart.R | 4 R/14_varcov_derivatives.R | 115 R/14_varcov_implied.R | 28 R/14_varcov_prepare.R | 21 R/15_lvm_derivatives.R | 19 R/15_lvm_implied.R | 24 R/15_lvm_prepare.R | 2 R/16_var1_derivatives.R | 49 R/16_var1_implied.R | 23 R/18_dlvm1_implied.R | 44 R/19_tsdlvm1_implied.R | 33 R/20_meta_varcov_derivatives.R | 188 - R/20_meta_varcov_implied.R | 72 R/20_meta_varcov_prepare.R | 2 R/21_Ising_implied.R | 6 R/21_Ising_prepare.R | 28 R/22_ml_lvm_derivatives.R | 3 R/22_ml_lvm_implied.R | 42 R/RcppExports.R | 750 ++++ R/a_models_Ising.R | 24 R/a_models_dlvm1.R | 34 R/a_models_latentgrowth.R | 4 R/a_models_lvm.R | 145 R/a_models_meta_ggm.R |only R/a_models_meta_varcov.R | 619 ++-- R/a_models_ml_lvm.R | 32 R/a_models_tsdlvm1.R | 118 R/a_models_var1.R | 26 R/a_models_varcov.R | 46 R/b_modelexpansions_addMIs.R | 81 R/b_modelexpansions_addSEs.R | 12 R/b_modelexpansions_addfit.R | 17 R/c_runmodel.R | 499 +-- R/d_stepup.R | 24 R/e_modelmodifications_fixpar.R | 6 R/e_modelmodifications_freepar.R | 6 R/e_modelmodifications_groupequal.R | 7 R/e_modelmodifications_groupfree.R | 7 R/e_modelmodifications_intersectionmodel.R | 7 R/e_modelmodifications_prune.R | 591 +-- R/e_modelmodifications_setequal.R | 6 R/e_modelmodifications_unionmodel.R | 7 R/f_conveneince_setoptimizer.R | 6 R/f_conveneince_setverbose.R |only R/f_convenience_modelCompare.R | 173 - R/h_modelsearch.R | 59 build/partial.rdb |binary data/Jonas.RData |binary man/Ising.Rd | 19 man/compare.Rd | 50 man/convenience.Rd | 5 man/dlvm1_family.Rd | 6 man/emergencystart.Rd |only man/fixpar_freepar.Rd | 8 man/groupequal_groupfree.Rd | 8 man/lvm_family.Rd | 10 man/meta_varcov.Rd | 34 man/ml_lvm.Rd | 41 man/modelsearch.Rd | 4 man/modelupdate.Rd | 8 man/parequal.Rd | 3 man/prune.Rd | 8 man/psychonetrics-class.Rd | 1 man/runmodel.Rd | 10 man/setverbose.Rd |only man/stepup.Rd | 11 man/tsdlvm1_family.Rd | 11 man/unionmodel_intersectionmodel.Rd | 6 man/var1_family.Rd | 11 man/varcov_family.Rd | 15 src/02_algebragelpers_kronecker.h |only src/02_algebrahelpers_RcppHelpers.cpp |only src/02_algebrahelpers_RcppHelpers.h |only src/02_algebrahelpers_kronecker.cpp |only src/02_algebrahelpers_modelMatrix_cpp.cpp |only src/02_algebrahelpers_modelMatrix_cpp.h |only src/03_modelformation_formModelMatrices_cpp.cpp |only src/03_modelformation_formModelMatrices_cpp.h |only src/03_modelformation_impliedcovstructures.cpp |only src/03_modelformation_impliedcovstructures.h |only src/04_generalFit_FisherInformation_cpp.cpp |only src/04_generalFit_gradient_cpp.cpp |only src/04_generalFit_gradient_cpp.h |only src/04_generalFit_implied_and_prepare.h |only src/04_generalfit_fitfunction_cpp.cpp |only src/04_generalfit_fitfunction_cpp.h |only src/04_generalfit_implied_and_prepare.cpp |only src/04_generalfit_loglik_fimlcpp.cpp | 211 + src/04_generalfit_psychonetrics_BFGS.cpp |only src/05_MLestimator_expected_Hessian_Gauss_cpp.cpp |only src/05_MLestimator_expected_Hessian_Gauss_cpp.h |only src/05_MLestimator_fit_Gauss_cpp.cpp |only src/05_MLestimator_fit_Gauss_cpp.h |only src/05_MLestimator_fit_Ising.cpp |only src/05_MLestimator_fit_Ising.h |only src/05_MLestimator_gradient_Gauss_cpp.cpp |only src/05_MLestimator_gradient_Gauss_cpp.h |only src/05_MLestimator_gradient_Ising_cpp.cpp |only src/05_MLestimator_gradient_Ising_cpp.h |only src/06_ULS_expectedHessian_cpp.cpp |only src/06_ULS_expectedHessian_cpp.h |only src/06_ULS_fitfunction_cpp.cpp |only src/06_ULS_fitfunction_cpp.h |only src/06_ULS_gradient_cpp.cpp |only src/06_ULS_gradient_cpp.h |only src/07_FIMLestimator_expected_hessian_gauss_cppversion.cpp | 333 +- src/07_FIMLestimator_expected_hessian_gauss_cppversion.h |only src/07_FIMLestimator_fitfunction_cppversion.cpp | 195 + src/07_FIMLestimator_fitfunction_cppversion.h |only src/07_FIMLestimator_jacobian_gauss.cpp | 310 +- src/07_FIMLestimator_jacobian_gauss.h |only src/10_ordinal_cppFuns.cpp | 13 src/14_varcov_derivatives_cpp.cpp |only src/14_varcov_derivatives_cpp.h |only src/14_varcov_implied_cpp.cpp |only src/14_varcov_implied_cpp.h |only src/14_varcov_prepare_cpp.cpp |only src/14_varcov_prepare_cpp.h |only src/15_lvm_derivatives_cpp.cpp |only src/15_lvm_derivatives_cpp.h |only src/15_lvm_implied_cpp.cpp |only src/15_lvm_implied_cpp.h |only src/15_lvm_prepare_cpp.cpp |only src/15_lvm_prepare_cpp.h |only src/16_var1_derivatives_cpp.cpp |only src/16_var1_derivatives_cpp.h |only src/16_var1_implied_cpp.cpp |only src/16_var1_implied_cpp.h |only src/16_var1_prepare_cpp.cpp |only src/16_var1_prepare_cpp.h |only src/18_dlvm1_derivatives_cpp.cpp |only src/18_dlvm1_derivatives_cpp.h |only src/18_dlvm1_implied_cpp.cpp |only src/18_dlvm1_implied_cpp.h |only src/18_dlvm1_prepare_cpp.cpp |only src/18_dlvm1_prepare_cpp.h |only src/19_tsdlvm1_derivatives.cpp |only src/19_tsdlvm1_derivatives_cpp.h |only src/19_tsdlvm1_implied_cpp.cpp |only src/19_tsdlvm1_implied_cpp.h |only src/19_tsdlvm1_prepare_cpp.cpp |only src/19_tsdlvm1_prepare_cpp.h |only src/20_meta_varcov_derivatives_cpp.cpp |only src/20_meta_varcov_derivatives_cpp.h |only src/20_meta_varcov_implied.cpp |only src/20_meta_varcov_implied_cpp.h |only src/20_meta_varcov_prepare_cpp.cpp |only src/20_meta_varcov_prepare_cpp.h |only src/21_Ising_derivatives.cpp |only src/21_Ising_derivatives_cpp.h |only src/21_Ising_expectedHessian.cpp | 27 src/21_Ising_helperfunctions.cpp |only src/21_Ising_helperfunctions.h |only src/21_Ising_implied_cpp.cpp |only src/21_Ising_implied_cpp.h |only src/21_Ising_prepare_cpp.cpp |only src/21_Ising_prepare_cpp.h |only src/22_ml_lvm_derivatives.cpp |only src/22_ml_lvm_derivatives_cpp.h |only src/22_ml_lvm_implied_cpp.cpp |only src/22_ml_lvm_implied_cpp.h |only src/22_ml_lvm_prepare_cpp.cpp |only src/22_ml_lvm_prepare_cpp.h |only src/RcppExports.cpp | 1992 ++++++++++++- src/b_modelexpansion_updateModel_cpp.cpp |only src/b_modelexpansion_updateModel_cpp.h |only src/b_modelexpansions_addMIs_cpp.cpp |only src/b_modelexpansions_addSEs_cpp.cpp |only 222 files changed, 7092 insertions(+), 2217 deletions(-)
Title: Performance Measures for 'mlr3'
Description: Implements multiple performance measures for
supervised learning. Includes over 40 measures for regression and
classification. Additionally, meta information about the performance
measures can be queried, e.g. what the best and worst possible
performances scores are.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>
Diff between mlr3measures versions 0.1.2 dated 2020-03-04 and 0.1.3 dated 2020-04-01
DESCRIPTION | 33 ++++++++++--------- MD5 | 70 ++++++++++++++++++++++-------------------- NAMESPACE | 3 + NEWS.md | 7 ++++ R/binary_bbrier.R |only R/binary_mcc.R | 4 +- R/classif_mbrier.R |only R/zzz.R | 10 +++++- README.md | 7 +++- build/partial.rdb |binary inst/references.bib | 12 +++++++ man/acc.Rd | 3 + man/auc.Rd | 1 man/bacc.Rd | 3 + man/bbrier.Rd |only man/ce.Rd | 3 + man/dor.Rd | 1 man/fbeta.Rd | 1 man/fdr.Rd | 1 man/fn.Rd | 1 man/fnr.Rd | 1 man/fomr.Rd | 1 man/fp.Rd | 1 man/fpr.Rd | 1 man/logloss.Rd | 3 + man/mbrier.Rd |only man/mcc.Rd | 1 man/measures.Rd | 4 +- man/npv.Rd | 1 man/ppv.Rd | 1 man/tn.Rd | 1 man/tnr.Rd | 1 man/tp.Rd | 1 man/tpr.Rd | 1 tests/testthat.R | 2 - tests/testthat/test_binary.R | 24 +++++++++++++- tests/testthat/test_classif.R | 4 +- tests/testthat/test_regr.R | 3 + 38 files changed, 148 insertions(+), 63 deletions(-)
Title: List Balancing for Reweighting and Population Synthesis
Description: Performs iterative proportional updating given a seed table and
an arbitrary number of marginal distributions. This is commonly used in
population synthesis, survey raking, matrix rebalancing, and other
applications. For example, a household survey may be weighted to match the
known distribution of households by size from the census. An origin/
destination trip matrix might be balanced to match traffic counts.
The approach used by this package is based on a paper from
Arizona State University (Ye, Xin, et. al. (2009)
<http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.537.723&rep=rep1&type=pdf>).
Some enhancements have been made to their work including primary and
secondary target balance/importance, general marginal agreement, and weight
restriction.
Author: Kyle Ward [aut, cre, cph],
Greg Macfarlane [ctb]
Maintainer: Kyle Ward <kyleward084@gmail.com>
Diff between ipfr versions 1.0.1 dated 2020-01-08 and 1.0.2 dated 2020-04-01
DESCRIPTION | 6 MD5 | 38 +++--- NEWS.md | 5 R/ipu.R | 6 inst/doc/using_ipfr.html | 2 man/adjust_factor.Rd | 2 man/balance_secondary_targets.Rd | 120 +++++++++---------- man/check_geo_fields.Rd | 2 man/check_missing_categories.Rd | 2 man/check_tables.Rd | 96 +++++++-------- man/compare_results.Rd | 2 man/create_target_priority.Rd | 2 man/ipf.Rd | 114 +++++++++--------- man/ipfr.Rd | 2 man/ipu.Rd | 240 +++++++++++++++++++-------------------- man/ipu_matrix.Rd | 2 man/ipu_nr.Rd | 216 +++++++++++++++++------------------ man/process_seed_table.Rd | 2 man/scale_targets.Rd | 2 man/synthesize.Rd | 2 20 files changed, 434 insertions(+), 429 deletions(-)
Title: Color Calculations with Emphasis on Spectral Data
Description: Calculate with spectral properties of light sources, materials, cameras, eyes, and scanners.
Build complex systems from simpler parts using a spectral product algebra. For light sources,
compute CCT, CRI, and SSI. For object colors, compute optimal colors and Logvinenko coordinates.
Work with the standard CIE illuminants and color matching functions, and read spectra from
text files, including CGATS files. Estimate a spectrum from its response. A user guide and 9 vignettes are included.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>
Diff between colorSpec versions 1.1-1 dated 2019-12-07 and 1.2-1 dated 2020-04-01
colorSpec-1.1-1/colorSpec/R/squashing.R |only colorSpec-1.2-1/colorSpec/DESCRIPTION | 8 colorSpec-1.2-1/colorSpec/MD5 | 65 +- colorSpec-1.2-1/colorSpec/NAMESPACE | 2 colorSpec-1.2-1/colorSpec/NEWS.md | 6 colorSpec-1.2-1/colorSpec/R/Kfun.R |only colorSpec-1.2-1/colorSpec/R/colorSpec.invert.R | 392 ++++++++++++++-- colorSpec-1.2-1/colorSpec/R/colorSpec.plot.R | 90 ++- colorSpec-1.2-1/colorSpec/README.md |only colorSpec-1.2-1/colorSpec/build/vignette.rds |binary colorSpec-1.2-1/colorSpec/inst/doc/MacbethCC.txt | 9 colorSpec-1.2-1/colorSpec/inst/doc/blueflame.pdf |binary colorSpec-1.2-1/colorSpec/inst/doc/colorSpec-guide.Rmd | 30 - colorSpec-1.2-1/colorSpec/inst/doc/colorSpec-guide.html | 33 - colorSpec-1.2-1/colorSpec/inst/doc/convexity.R | 4 colorSpec-1.2-1/colorSpec/inst/doc/convexity.pdf |binary colorSpec-1.2-1/colorSpec/inst/doc/convexity.rnw | 4 colorSpec-1.2-1/colorSpec/inst/doc/emulation.pdf |binary colorSpec-1.2-1/colorSpec/inst/doc/gallery.pdf |binary colorSpec-1.2-1/colorSpec/inst/doc/inversion.R | 15 colorSpec-1.2-1/colorSpec/inst/doc/inversion.pdf |binary colorSpec-1.2-1/colorSpec/inst/doc/inversion.rnw | 31 - colorSpec-1.2-1/colorSpec/inst/doc/lens-aging.pdf |binary colorSpec-1.2-1/colorSpec/inst/doc/optimals.pdf |binary colorSpec-1.2-1/colorSpec/inst/doc/phenolred.html | 24 colorSpec-1.2-1/colorSpec/inst/doc/photoncounting.html | 24 colorSpec-1.2-1/colorSpec/man/invert.Rd | 130 ++++- colorSpec-1.2-1/colorSpec/man/plot.Rd | 58 +- colorSpec-1.2-1/colorSpec/tests/test-invert.R | 60 +- colorSpec-1.2-1/colorSpec/vignettes/MacbethCC.txt | 9 colorSpec-1.2-1/colorSpec/vignettes/bibliography.bib | 6 colorSpec-1.2-1/colorSpec/vignettes/colorSpec-guide.Rmd | 30 - colorSpec-1.2-1/colorSpec/vignettes/convexity.rnw | 4 colorSpec-1.2-1/colorSpec/vignettes/inversion.rnw | 31 - colorSpec-1.2-1/colorSpec/vignettes/invert-help.R | 10 35 files changed, 805 insertions(+), 270 deletions(-)
Title: The Skew-Normal and Related Distributions Such as the Skew-t
Description: Build and manipulate probability distributions of the skew-normal
family and some related ones, notably the skew-t family, and provide related
statistical methods for data fitting and model diagnostics, in the univariate
and the multivariate case.
Author: Adelchi Azzalini [aut, cre] (<https://orcid.org/0000-0002-7583-1269>)
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>
Diff between sn versions 1.6-0 dated 2020-03-28 and 1.6-1 dated 2020-04-01
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- NEWS | 3 +++ R/sn_S4.R | 2 +- man/selm.Rd | 13 +++++-------- 5 files changed, 17 insertions(+), 17 deletions(-)
Title: Lightning Fast Serialization of Data Frames for R
Description: Multithreaded serialization of compressed data frames using the
'fst' format. The 'fst' format allows for random access of stored data and
compression with the LZ4 and ZSTD compressors created by Yann Collet. The ZSTD
compression library is owned by Facebook Inc.
Author: Mark Klik [aut, cre, cph],
Yann Collet [ctb, cph] (Yann Collet is author of the bundled LZ4 and
ZSTD code and copyright holder of LZ4),
Facebook, Inc. [cph] (Bundled ZSTD code)
Maintainer: Mark Klik <markklik@gmail.com>
Diff between fst versions 0.9.0 dated 2019-04-09 and 0.9.2 dated 2020-04-01
fst-0.9.0/fst/src/fstcore/LZ4/CMakeLists.txt |only fst-0.9.0/fst/tests/testthat/FactorStore |only fst-0.9.2/fst/DESCRIPTION | 11 fst-0.9.2/fst/MD5 | 201 fst-0.9.2/fst/R/RcppExports.R | 8 fst-0.9.2/fst/R/compress.R | 6 fst-0.9.2/fst/R/fst.R | 100 fst-0.9.2/fst/R/fst_table.R | 24 fst-0.9.2/fst/R/hash.R | 2 fst-0.9.2/fst/R/onAttach.R | 2 fst-0.9.2/fst/R/package.R | 4 fst-0.9.2/fst/man/metadata_fst.Rd | 5 fst-0.9.2/fst/man/write_fst.Rd | 54 fst-0.9.2/fst/src/Makevars | 9 fst-0.9.2/fst/src/RcppExports.cpp | 14 fst-0.9.2/fst/src/fst_blockrunner_char.cpp | 66 fst-0.9.2/fst/src/fst_blockrunner_char.h | 12 fst-0.9.2/fst/src/fst_column.h | 34 fst-0.9.2/fst/src/fst_column_factory.h | 14 fst-0.9.2/fst/src/fst_compress.cpp | 13 fst-0.9.2/fst/src/fst_compress.h | 4 fst-0.9.2/fst/src/fst_string_vector_container.h | 8 fst-0.9.2/fst/src/fst_table.cpp | 12 fst-0.9.2/fst/src/fst_table.h | 4 fst-0.9.2/fst/src/fst_type_factory.h | 30 fst-0.9.2/fst/src/fstcore/LZ4/lz4.c | 1175 ++- fst-0.9.2/fst/src/fstcore/LZ4/lz4.h | 487 - fst-0.9.2/fst/src/fstcore/LZ4/xxhash.c | 614 + fst-0.9.2/fst/src/fstcore/LZ4/xxhash.h | 217 fst-0.9.2/fst/src/fstcore/ZSTD/common/bitstream.h | 13 fst-0.9.2/fst/src/fstcore/ZSTD/common/compiler.h | 58 fst-0.9.2/fst/src/fstcore/ZSTD/common/cpu.h | 2 fst-0.9.2/fst/src/fstcore/ZSTD/common/debug.h | 33 fst-0.9.2/fst/src/fstcore/ZSTD/common/error_private.c | 6 fst-0.9.2/fst/src/fstcore/ZSTD/common/fse.h | 8 fst-0.9.2/fst/src/fstcore/ZSTD/common/fse_decompress.c | 2 fst-0.9.2/fst/src/fstcore/ZSTD/common/huf.h | 26 fst-0.9.2/fst/src/fstcore/ZSTD/common/mem.h | 75 fst-0.9.2/fst/src/fstcore/ZSTD/common/pool.c | 12 fst-0.9.2/fst/src/fstcore/ZSTD/common/threading.c | 51 fst-0.9.2/fst/src/fstcore/ZSTD/common/threading.h | 33 fst-0.9.2/fst/src/fstcore/ZSTD/common/xxhash.c |only fst-0.9.2/fst/src/fstcore/ZSTD/common/zstd_common.c | 4 fst-0.9.2/fst/src/fstcore/ZSTD/common/zstd_errors.h | 1 fst-0.9.2/fst/src/fstcore/ZSTD/common/zstd_internal.h | 133 fst-0.9.2/fst/src/fstcore/ZSTD/compress/fse_compress.c | 10 fst-0.9.2/fst/src/fstcore/ZSTD/compress/hist.c | 30 fst-0.9.2/fst/src/fstcore/ZSTD/compress/hist.h | 19 fst-0.9.2/fst/src/fstcore/ZSTD/compress/huf_compress.c | 64 fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_compress.c | 3318 +++++----- fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_compress_internal.h | 355 - fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_compress_literals.c |only fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_compress_literals.h |only fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_compress_sequences.c |only fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_compress_sequences.h |only fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_cwksp.h |only fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_double_fast.c | 107 fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_fast.c | 431 - fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_lazy.c | 120 fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_lazy.h | 2 fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_ldm.c | 97 fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_ldm.h | 8 fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_opt.c | 310 fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstd_opt.h | 8 fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstdmt_compress.c | 403 - fst-0.9.2/fst/src/fstcore/ZSTD/compress/zstdmt_compress.h | 88 fst-0.9.2/fst/src/fstcore/ZSTD/decompress/huf_decompress.c | 222 fst-0.9.2/fst/src/fstcore/ZSTD/decompress/zstd_ddict.c |only fst-0.9.2/fst/src/fstcore/ZSTD/decompress/zstd_ddict.h |only fst-0.9.2/fst/src/fstcore/ZSTD/decompress/zstd_decompress.c | 2246 +----- fst-0.9.2/fst/src/fstcore/ZSTD/decompress/zstd_decompress_block.c |only fst-0.9.2/fst/src/fstcore/ZSTD/decompress/zstd_decompress_block.h |only fst-0.9.2/fst/src/fstcore/ZSTD/decompress/zstd_decompress_internal.h |only fst-0.9.2/fst/src/fstcore/ZSTD/dictBuilder/cover.c | 293 fst-0.9.2/fst/src/fstcore/ZSTD/dictBuilder/cover.h | 70 fst-0.9.2/fst/src/fstcore/ZSTD/dictBuilder/divsufsort.c | 10 fst-0.9.2/fst/src/fstcore/ZSTD/dictBuilder/fastcover.c | 147 fst-0.9.2/fst/src/fstcore/ZSTD/dictBuilder/zdict.c | 76 fst-0.9.2/fst/src/fstcore/ZSTD/dictBuilder/zdict.h | 31 fst-0.9.2/fst/src/fstcore/ZSTD/zstd.h | 2095 +++--- fst-0.9.2/fst/src/fstcore/blockstreamer/blockstreamer_v2.cpp | 15 fst-0.9.2/fst/src/fstcore/byte/byte_v12.cpp | 2 fst-0.9.2/fst/src/fstcore/byteblock |only fst-0.9.2/fst/src/fstcore/character/character_v6.cpp | 38 fst-0.9.2/fst/src/fstcore/compression/compression.cpp | 22 fst-0.9.2/fst/src/fstcore/compression/compressor.cpp | 8 fst-0.9.2/fst/src/fstcore/interface/fstdefines.h | 37 fst-0.9.2/fst/src/fstcore/interface/fststore.cpp | 54 fst-0.9.2/fst/src/fstcore/interface/ibyteblockcolumn.h |only fst-0.9.2/fst/src/fstcore/interface/icolumnfactory.h | 14 fst-0.9.2/fst/src/fstcore/interface/ifstcolumn.h | 50 fst-0.9.2/fst/src/fstcore/interface/ifsttable.h | 31 fst-0.9.2/fst/src/fstcore/interface/istringwriter.h | 12 fst-0.9.2/fst/src/init.c | 8 fst-0.9.2/fst/tests/testthat.R | 4 fst-0.9.2/fst/tests/testthat/helper_fstwrite.R | 8 fst-0.9.2/fst/tests/testthat/test_access.R | 4 fst-0.9.2/fst/tests/testthat/test_compress.R | 92 fst-0.9.2/fst/tests/testthat/test_date.R | 2 fst-0.9.2/fst/tests/testthat/test_encoding.R | 10 fst-0.9.2/fst/tests/testthat/test_fst.R | 90 fst-0.9.2/fst/tests/testthat/test_fst_table.R | 4 fst-0.9.2/fst/tests/testthat/test_integer64.R | 2 fst-0.9.2/fst/tests/testthat/test_interface.R | 4 fst-0.9.2/fst/tests/testthat/test_keys.R | 8 fst-0.9.2/fst/tests/testthat/test_lintr.R | 31 fst-0.9.2/fst/tests/testthat/test_meta.R | 62 fst-0.9.2/fst/tests/testthat/test_omp.R | 28 fst-0.9.2/fst/tests/testthat/test_special_tables.R |only 109 files changed, 8109 insertions(+), 6678 deletions(-)
Title: Event History Analysis
Description: Sampling of risk sets in Cox regression, selections in
the Lexis diagram, bootstrapping. Parametric proportional
hazards fitting with left truncation and right censoring for
common families of distributions, piecewise constant hazards,
and discrete models. Parametric accelerated failure time models
for left truncated and right censored data.
Author: Göran Broström [aut, cre],
Jianming Jin [ctb]
Maintainer: Göran Broström <goran.brostrom@umu.se>
Diff between eha versions 2.8.0 dated 2019-12-19 and 2.8.1 dated 2020-04-01
ChangeLog | 12 +++++++++++- DESCRIPTION | 11 ++++++----- MD5 | 20 ++++++++++---------- NEWS.md | 6 ++++++ R/gompstartRate.R | 10 +++++++++- R/risksets.R | 23 +++++++++++++++-------- build/vignette.rds |binary inst/doc/eha.html | 12 +++++------- inst/doc/parametric.pdf |binary man/risksets.Rd | 4 ++-- src/getsums.f | 22 +++++++++++----------- 11 files changed, 75 insertions(+), 45 deletions(-)
Title: A Framework for Data-Driven Stochastic Disease Spread
Simulations
Description: Provides an efficient and very flexible framework to
conduct data-driven epidemiological modeling in realistic large
scale disease spread simulations. The framework integrates
infection dynamics in subpopulations as continuous-time Markov
chains using the Gillespie stochastic simulation algorithm and
incorporates available data such as births, deaths and movements
as scheduled events at predefined time-points. Using C code for
the numerical solvers and 'OpenMP' (if available) to divide work
over multiple processors ensures high performance when simulating
a sample outcome. One of our design goals was to make the package
extendable and enable usage of the numerical solvers from other R
extension packages in order to facilitate complex epidemiological
research. The package contains template models and can be extended
with user-defined models. For more details see the paper by
Widgren, Bauer, Eriksson and Engblom (2019)
<doi:10.18637/jss.v091.i12>.
Author: Stefan Widgren [aut, cre] (<https://orcid.org/0000-0001-5745-2284>),
Robin Eriksson [aut] (<https://orcid.org/0000-0002-4291-712X>),
Stefan Engblom [aut] (<https://orcid.org/0000-0002-3614-1732>),
Pavol Bauer [aut] (<https://orcid.org/0000-0003-4328-7171>),
Attractive Chaos [cph] (Author of 'kvec.h'.)
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>
Diff between SimInf versions 6.5.0 dated 2020-03-29 and 6.5.1 dated 2020-04-01
SimInf-6.5.0/SimInf/src/misc/kbtree.h |only SimInf-6.5.1/SimInf/DESCRIPTION | 10 SimInf-6.5.1/SimInf/MD5 | 9 SimInf-6.5.1/SimInf/NEWS.md | 32 + SimInf-6.5.1/SimInf/inst/doc/SimInf.pdf |binary SimInf-6.5.1/SimInf/src/misc/SimInf_trajectory.c | 426 +++++++++-------------- 6 files changed, 209 insertions(+), 268 deletions(-)
Title: Statistical Learning on Sparse Matrices
Description: Implements many algorithms for statistical learning on
sparse matrices - matrix factorizations, matrix completion,
elastic net regressions, factorization machines.
Also 'rsparse' enhances 'Matrix' package by providing methods for
multithreaded <sparse, dense> matrix products and native slicing of
the sparse matrices in Compressed Sparse Row (CSR) format.
List of the algorithms for regression problems:
1) Elastic Net regression via Follow The Proximally-Regularized Leader (FTRL)
Stochastic Gradient Descent (SGD), as per McMahan et al(, <doi:10.1145/2487575.2488200>)
2) Factorization Machines via SGD, as per Rendle (2010, <doi:10.1109/ICDM.2010.127>)
List of algorithms for matrix factorization and matrix completion:
1) Weighted Regularized Matrix Factorization (WRMF) via Alternating Least
Squares (ALS) - paper by Hu, Koren, Volinsky (2008, <doi:10.1109/ICDM.2008.22>)
2) Maximum-Margin Matrix Factorization via ALS, paper by Rennie, Srebro
(2005, <doi:10.1145/1102351.1102441>)
3) Fast Truncated Singular Value Decomposition (SVD), Soft-Thresholded SVD,
Soft-Impute matrix completion via ALS - paper by Hastie, Mazumder
et al. (2014, <arXiv:1410.2596>)
4) Linear-Flow matrix factorization, from 'Practical linear models for
large-scale one-class collaborative filtering' by Sedhain, Bui, Kawale et al
(2016, ISBN:978-1-57735-770-4)
5) GlobalVectors (GloVe) matrix factorization via SGD, paper by Pennington,
Socher, Manning (2014, <https://www.aclweb.org/anthology/D14-1162>)
Package is reasonably fast and memory efficient - it allows to work with large
datasets - millions of rows and millions of columns. This is particularly useful
for practitioners working on recommender systems.
Author: Dmitriy Selivanov [aut, cre, cph]
(<https://orcid.org/0000-0001-5413-1506>),
Drew Schmidt [ctb] (configure script for BLAS, LAPACK detection),
Wei-Chen Chen [ctb] (configure script and work on linking to float
package)
Maintainer: Dmitriy Selivanov <ds@rexy.ai>
Diff between rsparse versions 0.3.3.4 dated 2019-11-14 and 0.4.0 dated 2020-04-01
DESCRIPTION | 20 +- MD5 | 82 ++++++----- NAMESPACE | 2 NEWS.md | 7 R/MatrixFactorizationRecommender.R | 56 ++++--- R/RcppExports.R | 8 + R/SoftALS.R | 2 R/methods.R | 68 +++++++++ R/model_FTRL.R | 116 +++++++-------- R/model_FactorizationMachine.R | 108 ++++++-------- R/model_GloVe.R | 140 +++++++------------ R/model_LinearFlow.R | 146 +++++++------------- R/model_PureSVD.R | 123 +++++++--------- R/model_RankMF.R |only R/model_ScaleNormalize.R |only R/model_WRMF.R | 218 +++++++++++------------------ R/utils.R | 15 +- R/zzz.R | 1 README.md | 23 +-- man/FTRL.Rd | 213 ++++++++++++++++++++--------- man/FactorizationMachine.Rd | 188 ++++++++++++++++++------- man/GloVe.Rd | 196 +++++++++++++++++--------- man/LinearFlow.Rd | 248 ++++++++++++++++++++++------------ man/MatrixFactorizationRecommender.Rd |only man/PureSVD.Rd | 194 +++++++++++++++++--------- man/ScaleNormalize.Rd |only man/WRMF.Rd | 232 +++++++++++++++++++------------ man/figures |only man/matmult.Rd | 19 ++ man/movielens100k.Rd | 6 man/slice.Rd | 1 man/soft_impute.Rd | 26 ++- src/FactorizationMachine.cpp | 18 +- src/GloVe.cpp | 2 src/Makevars.in | 2 src/MappedSparseMatrices.h | 41 +++-- src/ProductSparseDense.cpp | 22 +-- src/RcppExports.cpp | 64 ++++++++ src/SolverAlsWrmf.cpp | 12 - src/SolverRankMF.cpp |only src/TopProduct.cpp | 10 - src/rsparse.h | 6 src/utils.cpp | 39 ++++- tests/testthat/test-ftrl.R | 8 - tests/testthat/test-linear-flow.R | 4 45 files changed, 1591 insertions(+), 1095 deletions(-)
Title: Determine Optimal Clustering Algorithm and Number of Clusters
Description: Cluster analysis using statistical and biological
validation measures for both continuous and count data.
Author: Michael Sekula <michael.sekula@louisville.edu>,
Somnath Datta <somnath.datta@louisville.edu>,
and Susmita Datta <susmita.datta@louisville.edu>
Maintainer: Michael Sekula <michael.sekula@louisville.edu>
Diff between optCluster versions 1.2.0 dated 2019-12-10 and 1.3.0 dated 2020-04-01
DESCRIPTION | 17 +++++++++-------- MD5 | 14 ++++++++------ NAMESPACE | 12 +++++++----- R/orphaned-Code.R |only man/clValid-class.Rd |only man/optCluster-class.Rd | 14 +++++++------- man/optCluster.Rd | 18 +++++++++--------- man/repRankAggreg.Rd | 10 +++++----- man/valPlot.Rd | 9 --------- 9 files changed, 45 insertions(+), 49 deletions(-)
Title: Named Capture Regular Expressions
Description: User-friendly wrappers for
named capture regular expressions.
Introduction and comparison in research paper
by Hocking (2019), R Journal.
<doi:10.32614/RJ-2019-050>
RE2 engine ('re2r' package)
<https://github.com/qinwf/re2r>
was removed from CRAN in Mar 2020
so must be installed from github.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>
Diff between namedCapture versions 2020.3.2 dated 2020-03-04 and 2020.4.1 dated 2020-04-01
DESCRIPTION | 14 MD5 | 47 - NEWS | 14 R/engine.R | 4 R/str_match.R | 16 build/vignette.rds |binary inst/doc/v1-old-syntax.R | 20 inst/doc/v1-old-syntax.html | 2 inst/doc/v2-recommended-syntax.R | 38 - inst/doc/v2-recommended-syntax.html | 28 - inst/doc/v3-verbose.R | 4 inst/doc/v4-data-frames.R | 10 inst/doc/v4-data-frames.html | 46 - inst/test_engines.R |only man/engine.Rd | 4 man/str_match_all_named.Rd | 8 man/str_match_named.Rd | 8 tests/testthat/test-CRAN-NA.R | 45 - tests/testthat/test-CRAN-chr-pos.R | 65 +- tests/testthat/test-CRAN-df.R | 739 ++++++++++++++--------------- tests/testthat/test-CRAN-dt.R | 134 ++--- tests/testthat/test-CRAN-engine.R | 30 - tests/testthat/test-CRAN-name-value.R | 147 ++--- tests/testthat/test-CRAN-optional-groups.R | 93 +-- tests/testthat/test-CRAN-variable.R | 705 +++++++++++++-------------- 25 files changed, 1105 insertions(+), 1116 deletions(-)
Title: Vehicular Emissions by Top-Down Methods
Description: Creates emissions for use in air quality models. Vehicular emissions
are estimated by a top-down approach, total emissions are calculated using the
statistical description of the fleet of vehicles, the emission is spatially
distributed according to satellite images or openstreetmap data
<https://www.openstreetmap.org> and then distributed temporarily
(Vara-Vela et al., 2016, <doi:10.5194/acp-16-777-2016>).
Author: Daniel Schuch [aut, cre] (<https://orcid.org/0000-0001-5977-4519>),
Sergio Ibarra-Espinosa [aut] (<https://orcid.org/0000-0002-3162-1905>)
Maintainer: Daniel Schuch <schuch@usp.br>
Diff between EmissV versions 0.665.2.0 dated 2020-03-30 and 0.665.2.1 dated 2020-04-01
DESCRIPTION | 13 ++++++------- MD5 | 12 ++++++------ NEWS.md | 4 ++++ R/emission.R | 30 ++++++++++++++++++++++++++---- man/emission.Rd | 3 +++ tests/testthat/Rplots.pdf |binary tests/testthat/test-areaSource.R | 8 ++++---- 7 files changed, 49 insertions(+), 21 deletions(-)
Title: Improved q-Values for Discrete Uniform and Homogeneous Tests
Description: We consider a multiple testing procedure used in many modern applications which is the q-value method proposed by Storey and Tibshirani (2003), <doi:10.1073/pnas.1530509100>. The q-value method is based on the false discovery rate (FDR), hence versions of the q-value method can be defined depending on which estimator of the proportion of true null hypotheses, p0, is plugged in the FDR estimator. We implement the q-value method based on two classical pi0 estimators, and furthermore, we propose and implement three versions of the q-value method for homogeneous discrete uniform P-values based on pi0 estimators which take into account the discrete distribution of the P-values.
Author: Marta Cousido Rocha [aut, cre],
José Carlos Soage González [ctr],
Jacobo de Uña Álvarez [aut, ths],
Sebastian Döhler [aut]
Maintainer: Marta Cousido Rocha <martacousido@uvigo.es>
Diff between DiscreteQvalue versions 1.0 dated 2019-10-21 and 1.1 dated 2020-04-01
DESCRIPTION | 12 +++++----- MD5 | 10 ++++---- R/DQ.R | 44 +++++++++++++-------------------------- R/DiscreteQvalue-package.R | 14 ++++++------ man/DQ.Rd | 47 ++++++++++++++++-------------------------- man/DiscreteQvalue-package.Rd | 12 +++++----- 6 files changed, 58 insertions(+), 81 deletions(-)
More information about DiscreteQvalue at CRAN
Permanent link
Title: Compute Effect Sizes
Description: Several functions are available for calculating the most
widely used effect sizes (ES), along with their variances, confidence
intervals and p-values. The output includes ES's of d (mean difference), g
(unbiased estimate of d), r (correlation coefficient), z' (Fisher's z), and
OR (odds ratio and log odds ratio). In addition, NNT (number needed to
treat), U3, CLES (Common Language Effect Size) and Cliff's Delta are
computed. This package uses recommended formulas as described in The
Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, &
Valentine, 2009).
Author: AC Del Re
Maintainer: AC Del Re <acdelre@gmail.com>
Diff between compute.es versions 0.2-4 dated 2014-09-16 and 0.2-5 dated 2020-04-01
DESCRIPTION | 12 +-- MD5 | 10 +- NAMESPACE | 5 - R/compute.es.R | 160 +++++++++++++++++++--------------------------- inst/CITATION | 4 - man/compute.es-package.Rd | 6 - 6 files changed, 86 insertions(+), 111 deletions(-)
Title: The Bayesian Causal Effect Estimation Algorithm
Description: A Bayesian model averaging approach to causal effect estimation
based on the BCEE algorithm. Currently supports binary or continuous
exposures and outcomes. For more details, see
Talbot et al. (2015) <doi:10.1515/jci-2014-0035>
Talbot and Beaudoin (2020) <arXiv:2003.11588>.
Author: Denis Talbot, Genevi<e8>ve Lefebvre, Juli Atherton, Yohann Chiu.
Maintainer: Denis Talbot <denis.talbot@fmed.ulaval.ca>
Diff between BCEE versions 1.2 dated 2017-08-10 and 1.3.0 dated 2020-04-01
ChangeLog | 7 DESCRIPTION | 18 + MD5 | 22 +- NAMESPACE | 5 R/ABCEE.R | 502 +++++++++++++++++++++++++--------------------------- R/GBCEE.R |only R/NBCEE.R | 490 ++++++++++++++++++++++++-------------------------- man/ABCEE.Rd | 4 man/BCEE-package.Rd | 18 + man/GBCEE.Rd |only man/NBCEE.Rd | 2 src/Makevars | 2 src/Makevars.win | 2 13 files changed, 531 insertions(+), 541 deletions(-)
Title: Load Census TIGER/Line Shapefiles
Description: Download TIGER/Line shapefiles from the United States Census Bureau
(<https://www.census.gov/geo/maps-data/data/tiger-line.html>) and load into R as 'SpatialDataFrame' or 'sf' objects.
Author: Kyle Walker [aut, cre],
Bob Rudis [ctb]
Maintainer: Kyle Walker <kyle.walker@tcu.edu>
Diff between tigris versions 0.9.2 dated 2020-02-04 and 0.9.4 dated 2020-04-01
DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- R/enumeration_units.R | 18 +++++++++++++++--- R/legislative.R | 24 +++++++++--------------- README.md | 2 +- data/fips_codes.rda |binary man/congressional_districts.Rd | 22 ++++++++-------------- man/school_districts.Rd | 5 ++++- 8 files changed, 48 insertions(+), 45 deletions(-)
Title: Snowball Stemmers Based on the C 'libstemmer' UTF-8 Library
Description: An R interface to the C 'libstemmer' library that implements
Porter's word stemming algorithm for collapsing words to a common
root to aid comparison of vocabulary. Currently supported languages are
Danish, Dutch, English, Finnish, French, German, Hungarian, Italian,
Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish
and Turkish.
Author: Milan Bouchet-Valat [aut, cre]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>
Diff between SnowballC versions 0.6.0 dated 2019-01-15 and 0.7.0 dated 2020-04-01
DESCRIPTION | 12 MD5 | 151 ++- NAMESPACE | 2 NEWS | 7 inst/words.R | 41 - inst/words/arabic.RData |only inst/words/basque.RData |only inst/words/catalan.RData |only inst/words/danish.RData |binary inst/words/dutch.RData |binary inst/words/english.RData |binary inst/words/finnish.RData |binary inst/words/french.RData |binary inst/words/german.RData |binary inst/words/greek.RData |only inst/words/hindi.RData |only inst/words/hungarian.RData |binary inst/words/indonesian.RData |only inst/words/irish.RData |only inst/words/italian.RData |binary inst/words/lithuanian.RData |only inst/words/nepali.RData |only inst/words/norwegian.RData |binary inst/words/porter.RData |binary inst/words/portuguese.RData |binary inst/words/romanian.RData |binary inst/words/russian.RData |binary inst/words/spanish.RData |binary inst/words/swedish.RData |binary inst/words/tamil.RData |only inst/words/turkish.RData |binary man/wordStem.Rd | 4 src/SnowballC_init.c |only src/api.c | 1 src/api.h | 7 src/header.h | 3 src/libstemmer.h | 9 src/libstemmer_utf8.c | 15 src/modules_utf8.h | 63 + src/stem_UTF_8_arabic.c |only src/stem_UTF_8_arabic.h |only src/stem_UTF_8_basque.c |only src/stem_UTF_8_basque.h |only src/stem_UTF_8_catalan.c |only src/stem_UTF_8_catalan.h |only src/stem_UTF_8_danish.c | 199 ++--- src/stem_UTF_8_danish.h | 3 src/stem_UTF_8_dutch.c | 334 ++++---- src/stem_UTF_8_dutch.h | 3 src/stem_UTF_8_english.c | 553 ++++++-------- src/stem_UTF_8_english.h | 3 src/stem_UTF_8_finnish.c | 512 ++++++------- src/stem_UTF_8_finnish.h | 3 src/stem_UTF_8_french.c | 851 +++++++++++----------- src/stem_UTF_8_french.h | 3 src/stem_UTF_8_german.c | 280 +++---- src/stem_UTF_8_german.h | 3 src/stem_UTF_8_greek.c |only src/stem_UTF_8_greek.h |only src/stem_UTF_8_hindi.c |only src/stem_UTF_8_hindi.h |only src/stem_UTF_8_hungarian.c | 762 +++++-------------- src/stem_UTF_8_hungarian.h | 3 src/stem_UTF_8_indonesian.c |only src/stem_UTF_8_indonesian.h |only src/stem_UTF_8_irish.c |only src/stem_UTF_8_irish.h |only src/stem_UTF_8_italian.c | 388 ++++------ src/stem_UTF_8_italian.h | 3 src/stem_UTF_8_lithuanian.c |only src/stem_UTF_8_lithuanian.h |only src/stem_UTF_8_nepali.c |only src/stem_UTF_8_nepali.h |only src/stem_UTF_8_norwegian.c | 119 +-- src/stem_UTF_8_norwegian.h | 3 src/stem_UTF_8_porter.c | 348 ++++----- src/stem_UTF_8_porter.h | 3 src/stem_UTF_8_portuguese.c | 482 +++++------- src/stem_UTF_8_portuguese.h | 3 src/stem_UTF_8_romanian.c | 310 +++----- src/stem_UTF_8_romanian.h | 3 src/stem_UTF_8_russian.c | 353 ++++----- src/stem_UTF_8_russian.h | 3 src/stem_UTF_8_spanish.c | 391 ++++------ src/stem_UTF_8_spanish.h | 3 src/stem_UTF_8_swedish.c | 101 +- src/stem_UTF_8_swedish.h | 3 src/stem_UTF_8_tamil.c |only src/stem_UTF_8_tamil.h |only src/stem_UTF_8_turkish.c | 1678 ++++++++++++++++++++------------------------ src/stem_UTF_8_turkish.h | 3 src/utilities.c | 189 ++-- 92 files changed, 3709 insertions(+), 4504 deletions(-)
Title: NHDPlus Tools
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
Author: David Blodgett [aut, cre],
Mike Johnson [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>
Diff between nhdplusTools versions 0.3.12 dated 2020-01-11 and 0.3.13 dated 2020-04-01
DESCRIPTION | 8 MD5 | 62 +- NEWS.md | 5 R/calc_network.R | 14 R/get_codes.R | 21 R/subset_nhdplus.R | 7 build/vignette.rds |binary inst/doc/nhdplusTools.html | 892 ++++++++++++++++++----------------- inst/doc/nhdplushr.html | 680 ++++++++++++++------------ inst/doc/plot_nhdplus.R | 4 inst/doc/plot_nhdplus.Rmd | 4 inst/doc/plot_nhdplus.html | 767 ++++++++++++++++-------------- inst/doc/point_indexing.html | 568 +++++++++++++--------- inst/extdata/nhdplushr_data.R | 7 man/calculate_arbolate_sum.Rd | 6 man/calculate_total_drainage_area.Rd | 6 man/download_nhdplusv2.Rd | 7 man/download_rf1.Rd | 3 man/download_wbd.Rd | 6 man/get_hr_data.Rd | 10 man/get_nhdplushr.Rd | 13 man/get_pfaf.Rd | 13 man/navigate_nldi.Rd | 9 man/plot_nhdplus.Rd | 15 man/prepare_nhdplus.Rd | 12 man/stage_national_data.Rd | 8 man/subset_nhdplus.Rd | 20 tests/testthat.R | 3 tests/testthat/helper.R | 5 tests/testthat/test_calc_network.R | 33 - tests/testthat/test_get_nhdplushr.R | 9 vignettes/plot_nhdplus.Rmd | 4 32 files changed, 1817 insertions(+), 1404 deletions(-)
Title: Correspondence Analysis Variants
Description: Provides six variants of two-way correspondence analysis (ca):
simple ca, singly ordered ca, doubly ordered ca, non symmetrical ca,
singly ordered non symmetrical ca, and doubly ordered non symmetrical
ca.
Author: Rosaria Lombardo and Eric J Beh
Maintainer: Rosaria Lombardo <rosaria.lombardo@unicampania.it>
Diff between CAvariants versions 5.0 dated 2019-09-13 and 5.5 dated 2020-04-01
CAvariants-5.0/CAvariants/R/angle.R |only CAvariants-5.0/CAvariants/R/caellipse-allaxes.R |only CAvariants-5.0/CAvariants/R/caellipse.R |only CAvariants-5.0/CAvariants/R/ellipse.R |only CAvariants-5.0/CAvariants/R/nscaellipse.R |only CAvariants-5.0/CAvariants/R/plotone.R |only CAvariants-5.0/CAvariants/R/plotoneold.R |only CAvariants-5.0/CAvariants/R/trendplot.R |only CAvariants-5.0/CAvariants/man/angle.Rd |only CAvariants-5.0/CAvariants/man/caellipse.Rd |only CAvariants-5.0/CAvariants/man/ellipse.Rd |only CAvariants-5.0/CAvariants/man/nscaellipse.Rd |only CAvariants-5.0/CAvariants/man/plotone.Rd |only CAvariants-5.0/CAvariants/man/trendplot.Rd |only CAvariants-5.5/CAvariants/DESCRIPTION | 11 CAvariants-5.5/CAvariants/MD5 | 74 ++---- CAvariants-5.5/CAvariants/NAMESPACE | 18 + CAvariants-5.5/CAvariants/R/CAvariants.R | 209 +++++++++++------ CAvariants-5.5/CAvariants/R/cabasic.R | 3 CAvariants-5.5/CAvariants/R/caplot.R |only CAvariants-5.5/CAvariants/R/caplot3d.R |only CAvariants-5.5/CAvariants/R/caplotord.R |only CAvariants-5.5/CAvariants/R/plot.CAvariants.R | 239 +++++++------------- CAvariants-5.5/CAvariants/R/print.CAvariants.R | 43 +-- CAvariants-5.5/CAvariants/R/socabasic.R | 5 CAvariants-5.5/CAvariants/R/sonscabasic.R | 7 CAvariants-5.5/CAvariants/R/vcaellipse.R |only CAvariants-5.5/CAvariants/data/asbestos.rda |binary CAvariants-5.5/CAvariants/data/shopdataM.rda |binary CAvariants-5.5/CAvariants/man/CAvariants.Rd | 134 +++++------ CAvariants-5.5/CAvariants/man/asbestos.Rd | 15 - CAvariants-5.5/CAvariants/man/cabasic.Rd | 6 CAvariants-5.5/CAvariants/man/caplot.Rd |only CAvariants-5.5/CAvariants/man/caplot3d.Rd |only CAvariants-5.5/CAvariants/man/caplotord.Rd |only CAvariants-5.5/CAvariants/man/compsonetable.exe.Rd | 5 CAvariants-5.5/CAvariants/man/compstable.exe.Rd | 16 - CAvariants-5.5/CAvariants/man/docabasic.Rd | 23 - CAvariants-5.5/CAvariants/man/donscabasic.Rd | 21 - CAvariants-5.5/CAvariants/man/emerson.poly.Rd | 14 - CAvariants-5.5/CAvariants/man/nscabasic.Rd | 9 CAvariants-5.5/CAvariants/man/plot.CAvariants.Rd | 156 ++++++------- CAvariants-5.5/CAvariants/man/print.CAvariants.Rd | 107 ++++---- CAvariants-5.5/CAvariants/man/printwithaxes.Rd | 13 - CAvariants-5.5/CAvariants/man/shopdataM.Rd | 15 - CAvariants-5.5/CAvariants/man/socabasic.Rd | 24 -- CAvariants-5.5/CAvariants/man/sonscabasic.Rd | 25 -- CAvariants-5.5/CAvariants/man/summary.CAvariants.Rd | 64 ++--- CAvariants-5.5/CAvariants/man/vcaellipse.Rd |only 49 files changed, 620 insertions(+), 636 deletions(-)
Title: WOE Transformation and Scorecard Builder
Description: Performs all steps in the credit scoring process. This package allows the user to follow all the necessary steps for building an effective scorecard. It provides the user functions for coarse binning of variables, Weights of Evidence (WOE) transformation, variable clustering, custom binning, visualization, and scaling of logistic regression coefficients. The results will generate a scorecard that can be used as an effective credit scoring tool to evaluate risk. For complete details on the credit scoring process, see Siddiqi (2005, ISBN:047175451X).
Author: Thomas Brandenburger [cre],
Eric Stratman [aut],
Riaz Khan [aut],
Allison Lempola [aut]
Maintainer: Thomas Brandenburger <thomas.brandenburger@sdstate.edu>
Diff between Rprofet versions 2.2.0 dated 2018-04-14 and 2.2.1 dated 2020-04-01
DESCRIPTION | 8 +-- MD5 | 10 ++-- R/Rprofet.R | 11 +++- man/BinProfet.Rd | 13 ++++- man/ScorecardProfet.Rd | 114 ++++++++++++++++++++++++++----------------------- man/WOE_custom.Rd | 3 - 6 files changed, 89 insertions(+), 70 deletions(-)
Title: House Price Indexes
Description: Compute house price indexes and series using a variety of different methods and
models common through the real estate literature. Evaluate index 'goodness' based
on accuracy, volatility and revision statistics. Background on basic model construction
for repeat sales models can be found at: Case and Quigley (1991)
<https://ideas.repec.org/a/tpr/restat/v73y1991i1p50-58.html> and for hedonic pricing models at:
Bourassa et al (2006) <doi:10.1016/j.jhe.2006.03.001>. The package author's working paper on the
random forest approach to house price indexes can be found at: <http://www.github.com/andykrause/hpi_research>.
Author: Andy Krause [aut, cre]
Maintainer: Andy Krause <andyxkrause@gmail.com>
Diff between hpiR versions 0.3.1 dated 2020-02-12 and 0.3.2 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 6 +++--- R/rtCreateTrans.R | 5 ++++- README.md | 10 ++++++---- inst/doc/classstructure.html | 4 ++-- inst/doc/introduction.html | 8 ++++---- 7 files changed, 28 insertions(+), 23 deletions(-)
Title: Estimations for the Covariance of Estimated Parameters in Joint
Mean-Covariance Models
Description: The goal of the package is to equip the 'jmcm' package (current version 0.2.1)
with estimations of the covariance of estimated parameters. Two methods are provided.
The first method is to use the inverse of estimated Fisher's information matrix, see
M. Pourahmadi (2000) <doi:10.1093/biomet/87.2.425>, M. Maadooliat, M. Pourahmadi and
J. Z. Huang (2013) <doi:10.1007/s11222-011-9284-6>, and W. Zhang, C. Leng, C. Tang (2015)
<doi:10.1111/rssb.12065>. The second method is bootstrap based, see Liu, R.Y. (1988)
<doi:10.1214/aos/1176351062> for reference.
Author: Naimin Jing [aut, cre],
Hexin Bai [aut],
Tong Wang [aut],
Cheng Yong Tang [aut]
Maintainer: Naimin Jing <naimin.jing@temple.edu>
Diff between varjmcm versions 0.1.0 dated 2018-06-14 and 0.1.1 dated 2020-04-01
DESCRIPTION | 10 +++++----- MD5 | 9 +++++---- NEWS.md |only R/covjmcm_hpc.R | 6 +++--- man/covjmcm_hpc.Rd | 2 +- man/varjmcm.Rd | 1 - 6 files changed, 14 insertions(+), 14 deletions(-)
Title: Projection Predictive Feature Selection
Description: Performs projection predictive feature selection for generalized linear models
(see, Piironen, Paasiniemi and Vehtari, 2018, <arXiv:1810.02406>).
The package is compatible with the 'rstanarm' and 'brms' packages, but other
reference models can also be used. See the package vignette for more
information and examples.
Author: Juho Piironen [cre, aut],
Markus Paasiniemi [aut],
Aki Vehtari [aut],
Jonah Gabry [ctb],
Paul-Christian Bürkner [ctb],
Marco Colombo [ctb]
Maintainer: Juho Piironen <juho.t.piironen@gmail.com>
Diff between projpred versions 1.1.5 dated 2020-01-30 and 1.1.6 dated 2020-04-01
DESCRIPTION | 6 - MD5 | 28 +++---- R/cv_varsel.R | 15 ++- R/methods.R | 62 +++++++++++----- R/project.R | 26 ++++-- R/refmodel.R | 177 +++++++++++++++++++++++------------------------ R/varsel.R | 83 +++++++++++----------- man/cv_varsel.Rd | 15 ++- man/get-refmodel.Rd | 22 +++-- man/init_refmodel.Rd | 65 ++++++++--------- man/proj-pred.Rd | 23 +++--- man/project.Rd | 26 ++++-- man/suggest_size.Rd | 17 +++- man/varsel-statistics.Rd | 22 +++-- man/varsel.Rd | 15 ++- 15 files changed, 348 insertions(+), 254 deletions(-)
Title: Estimation of Marginal Treatment Effects using Local
Instrumental Variables
Description: In the generalized Roy model, the marginal treatment effect (MTE) can be used as
a building block for constructing conventional causal parameters such as the average treatment
effect (ATE) and the average treatment effect on the treated (ATT). Given a treatment selection
equation and an outcome equation, the function mte() estimates the MTE via the semiparametric
local instrumental variables method or the normal selection model. The function mte_at() evaluates
MTE at different values of the latent resistance u with a given X = x, and the function mte_tilde_at()
evaluates MTE projected onto the estimated propensity score. The function ace() estimates
population-level average causal effects such as ATE, ATT, or the marginal policy relevant
treatment effect.
Author: Xiang Zhou [aut, cre]
Maintainer: Xiang Zhou <xiang_zhou@fas.harvard.edu>
Diff between localIV versions 0.2.1 dated 2019-05-06 and 0.3.0 dated 2020-04-01
localIV-0.2.1/localIV/R/average.R |only localIV-0.2.1/localIV/R/eval_mte.R |only localIV-0.2.1/localIV/R/eval_mte_tilde.R |only localIV-0.2.1/localIV/R/mprte.R |only localIV-0.2.1/localIV/man/average.Rd |only localIV-0.2.1/localIV/man/eval_mte.Rd |only localIV-0.2.1/localIV/man/eval_mte_tilde.Rd |only localIV-0.2.1/localIV/man/mprte.Rd |only localIV-0.3.0/localIV/DESCRIPTION | 29 ++-- localIV-0.3.0/localIV/MD5 | 34 +++-- localIV-0.3.0/localIV/NAMESPACE | 12 + localIV-0.3.0/localIV/NEWS.md |only localIV-0.3.0/localIV/R/ace.R |only localIV-0.3.0/localIV/R/mte.R | 152 +++++++++++-------------- localIV-0.3.0/localIV/R/mte_at.R |only localIV-0.3.0/localIV/R/mte_localIV.R |only localIV-0.3.0/localIV/R/mte_normal.R |only localIV-0.3.0/localIV/R/mte_tilde_at.R |only localIV-0.3.0/localIV/R/utils.R | 77 ------------ localIV-0.3.0/localIV/README.md |only localIV-0.3.0/localIV/man/ace.Rd |only localIV-0.3.0/localIV/man/figures |only localIV-0.3.0/localIV/man/mte.Rd | 169 ++++++++++++++++------------ localIV-0.3.0/localIV/man/mte_at.Rd |only localIV-0.3.0/localIV/man/mte_tilde_at.Rd |only localIV-0.3.0/localIV/man/toydata.Rd | 30 ++-- 26 files changed, 223 insertions(+), 280 deletions(-)
Title: Read Spectrometric Data and Metadata
Description: Parse various reflectance/transmittance/absorbance spectra file
formats to extract spectral data and metadata, as described in Gruson, White
& Maia (2019) <doi:10.21105/joss.01857>. Among other formats, it can import
files from 'Avantes' <https://www.avantes.com/>, 'CRAIC'
<http://www.microspectra.com/>, and 'OceanInsight' (formerly 'OceanOptics')
<https://www.oceaninsight.com/> brands.
This package has been peer-reviewed by rOpenSci (v. 0.1).
Author: Hugo Gruson [cre, aut] (<https://orcid.org/0000-0002-4094-1476>),
Rafael Maia [aut] (<https://orcid.org/0000-0002-7563-9795>),
Thomas White [aut] (<https://orcid.org/0000-0002-3976-1734>),
Kotya Karapetyan [cph] (Author of the MATLAB script to read AvaSoft7
binary files (CC-BY))
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>
Diff between lightr versions 1.0 dated 2020-01-27 and 1.1 dated 2020-04-01
lightr-1.0/lightr/inst/testdata/OO_comma.txt |only lightr-1.0/lightr/inst/testdata/OceanOptics.jdx |only lightr-1.0/lightr/inst/testdata/compare/BB_PF21_4.ProcSpec |only lightr-1.0/lightr/inst/testdata/compare/BB_PF21_4.txt |only lightr-1.0/lightr/inst/testdata/compare/NEW0601.TRM |only lightr-1.0/lightr/inst/testdata/compare/NEW0601.ttt |only lightr-1.0/lightr/inst/testdata/notest |only lightr-1.1/lightr/DESCRIPTION | 15 lightr-1.1/lightr/MD5 | 131 +++-- lightr-1.1/lightr/NAMESPACE | 3 lightr-1.1/lightr/NEWS.md | 29 + lightr-1.1/lightr/R/compute_processed.R |only lightr-1.1/lightr/R/convert_tocsv.R | 3 lightr-1.1/lightr/R/dev_utils.R | 6 lightr-1.1/lightr/R/dispatch_parser.R | 10 lightr-1.1/lightr/R/get_metadata.R | 7 lightr-1.1/lightr/R/get_spec.R | 21 lightr-1.1/lightr/R/parse_avantes_binary.R | 250 ++++++++-- lightr-1.1/lightr/R/parse_avantes_converted.R | 37 - lightr-1.1/lightr/R/parse_generic.R | 28 - lightr-1.1/lightr/R/parse_jdx.R | 24 lightr-1.1/lightr/R/parse_oceanoptics_converted.R | 22 lightr-1.1/lightr/R/parse_procspec.R | 18 lightr-1.1/lightr/R/parse_spc.R |only lightr-1.1/lightr/README.md | 30 - lightr-1.1/lightr/build/partial.rdb |binary lightr-1.1/lightr/build/vignette.rds |binary lightr-1.1/lightr/inst/WORDLIST | 32 - lightr-1.1/lightr/inst/doc/batch_import.Rmd | 3 lightr-1.1/lightr/inst/doc/batch_import.html | 48 - lightr-1.1/lightr/inst/doc/renormalise.html | 40 - lightr-1.1/lightr/inst/doc/true_example.R | 10 lightr-1.1/lightr/inst/doc/true_example.Rmd | 9 lightr-1.1/lightr/inst/doc/true_example.html | 60 +- lightr-1.1/lightr/inst/testdata/1305084U1.DRK |only lightr-1.1/lightr/inst/testdata/1305084U1.REF |only lightr-1.1/lightr/inst/testdata/1904090M1_0003.Raw8 |only lightr-1.1/lightr/inst/testdata/OceanOptics.spc |only lightr-1.1/lightr/inst/testdata/OceanOptics_period.jdx |only lightr-1.1/lightr/inst/testdata/compare/Avantes |only lightr-1.1/lightr/inst/testdata/compare/CRAIC |only lightr-1.1/lightr/inst/testdata/compare/OceanInsight |only lightr-1.1/lightr/inst/testdata/irr_820_1941.IRR |only lightr-1.1/lightr/inst/testdata/non_english |only lightr-1.1/lightr/inst/testdata_sources.txt | 7 lightr-1.1/lightr/man/compute_processed.Rd |only lightr-1.1/lightr/man/dispatch_parser.Rd | 33 + lightr-1.1/lightr/man/lightr-package.Rd | 7 lightr-1.1/lightr/man/lr_get_metadata.Rd | 2 lightr-1.1/lightr/man/lr_get_spec.Rd | 2 lightr-1.1/lightr/man/lr_parse_generic.Rd | 20 lightr-1.1/lightr/man/lr_parse_jaz.Rd | 20 lightr-1.1/lightr/man/lr_parse_jdx.Rd | 24 lightr-1.1/lightr/man/lr_parse_procspec.Rd | 20 lightr-1.1/lightr/man/lr_parse_spc.Rd |only lightr-1.1/lightr/man/lr_parse_trm.Rd | 43 + lightr-1.1/lightr/man/lr_parse_ttt.Rd | 20 lightr-1.1/lightr/tests/spelling.R | 3 lightr-1.1/lightr/tests/testthat.R | 9 lightr-1.1/lightr/tests/testthat/compare_official.R | 50 +- lightr-1.1/lightr/tests/testthat/known_output/getmetadata_all.rds |binary lightr-1.1/lightr/tests/testthat/known_output/getmetadata_recursive.rds |binary lightr-1.1/lightr/tests/testthat/known_output/getspec_all.rds |binary lightr-1.1/lightr/tests/testthat/test_convert.R | 88 +-- lightr-1.1/lightr/tests/testthat/test_dev.R |only lightr-1.1/lightr/tests/testthat/test_dispatch.R | 22 lightr-1.1/lightr/tests/testthat/test_getspec.R | 32 - lightr-1.1/lightr/tests/testthat/test_metadata.R | 36 - lightr-1.1/lightr/tests/testthat/test_multicores.R | 12 lightr-1.1/lightr/tests/testthat/test_parsers.R | 222 ++++++-- lightr-1.1/lightr/vignettes/batch_import.Rmd | 3 lightr-1.1/lightr/vignettes/true_example.Rmd | 9 72 files changed, 1093 insertions(+), 427 deletions(-)
Title: Data Operator
Description: Flexibly convert data between long and wide format using just two
functions: reshape_toLong() and reshape_toWide().
Author: Jing Zhang, Zhi Jin
Maintainer: Jing Zhang<zj391120@163.com>
Diff between do versions 1.1.0.0 dated 2019-12-01 and 1.2.0.0 dated 2020-04-01
DESCRIPTION | 8 ++++---- MD5 | 27 +++++++++++++++++++-------- NAMESPACE | 9 +++++++++ R/Grepl.R |only R/Trim.R |only R/chinese_utf8.R |only R/col_split.R | 19 +++++++++++++++++-- R/delete_move.R |only R/dup.connect.R | 21 ++++++++++++++++----- R/split_expand.R | 21 ++++++++++++++++++++- R/take_out.R |only man/Grepl.Rd |only man/Trim.Rd |only man/chinese_utf8.Rd |only man/col_split.Rd | 8 +++++++- man/delete_left.Rd |only man/delete_up.Rd |only man/dup.connect.Rd | 8 +++----- man/split_expand.Rd | 2 +- man/take_out.Rd |only 20 files changed, 96 insertions(+), 27 deletions(-)
Title: Disease-Related Differential Proteins and Co-Expression Network
Analysis
Description: Functions designed to connect disease-related differential proteins and
co-expression network. It provides the basic statics analysis included t test, ANOVA analysis.
The network construction is not offered by the package, you can used 'WGCNA' package which you
can learn in Peter et al. (2008) <doi:10.1186/1471-2105-9-559>. It also provides module analysis
included PCA analysis, two enrichment analysis, Planner maximally filtered graph extraction and
hub analysis.
Author: Kefu Liu [aut, cre]
Maintainer: Kefu Liu <liukefu19@163.com>
Diff between DDPNA versions 0.2.3 dated 2020-02-12 and 0.2.4 dated 2020-04-01
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ R/DEPextract.R | 2 +- R/MaxquantDataconvert.R | 2 +- R/network.R | 28 +++++++++++++--------------- man/DEP_Mod_net_plot.Rd | 4 ++-- man/ID_match.Rd | 2 +- 7 files changed, 28 insertions(+), 30 deletions(-)
Title: Water Cloud Model (WCM) for the Simulation of Leaf Area Index
(LAI) and Soil Moisture (SM) from Microwave Backscattering
Description: Retrieval the leaf area index (LAI) and soil moisture (SM) from microwave backscattering data using water cloud model (WCM) model . The WCM algorithm attributed to Pervot et al.(1993) <doi:10.1016/0034-4257(93)90053-Z>. The authors are grateful to SAC, ISRO, Ahmedabad for providing financial support to Dr. Prashant K Srivastava to conduct this research work.
Author: Ujjwal Singh <ujjwalrsmt@gmail.com>
Prashant K Srivastava <prashant.just@gmail.com)>
Dharmendra Kumar Pandey <Dkp@sac.isro.gov.in>
Sumit Kumar Chaudhary <sumit.mathe@gmail.com>
Dileep Kumar Gupta <dileepgupta85@gmail.com>
Maintainer: Ujjwal Singh <ujjwalrsmt@gmail.com>
Diff between WCM versions 0.2.1 dated 2019-05-27 and 0.2.2 dated 2020-04-01
WCM-0.2.1/WCM/build |only WCM-0.2.1/WCM/inst |only WCM-0.2.1/WCM/vignettes |only WCM-0.2.2/WCM/DESCRIPTION | 11 +-- WCM-0.2.2/WCM/MD5 | 23 ++----- WCM-0.2.2/WCM/NAMESPACE | 2 WCM-0.2.2/WCM/R/lai_inversion_lut.R | 2 WCM-0.2.2/WCM/R/sm_inversion_lut.R | 2 WCM-0.2.2/WCM/R/wcm_sim.R | 10 +-- WCM-0.2.2/WCM/man/lai_inversion_lut.Rd | 60 +++++++++--------- WCM-0.2.2/WCM/man/lut_wcm.Rd | 56 ++++++++--------- WCM-0.2.2/WCM/man/sm_inversion_lut.Rd | 60 +++++++++--------- WCM-0.2.2/WCM/man/wcm_sim.Rd | 108 ++++++++++++++++----------------- 13 files changed, 164 insertions(+), 170 deletions(-)
Title: Seawater Carbonate Chemistry
Description: Calculates parameters of the seawater carbonate system and assists the design of ocean acidification perturbation experiments.
Author: Jean-Pierre Gattuso [aut, cre, cph],
Jean-Marie Epitalon [aut],
Heloise Lavigne [aut],
James Orr [aut],
Bernard Gentili [ctb],
Mathilde Hagens [ctb],
Andreas Hofmann [ctb],
Jens-Daniel Mueller [ctb],
Aurélien Proye [ctb],
James Rae [ctb],
Karline Soetaert [ctb]
Maintainer: Jean-Pierre Gattuso <gattuso@obs-vlfr.fr>
Diff between seacarb versions 3.2.12 dated 2019-03-22 and 3.2.13 dated 2020-04-01
ChangeLog | 4 ++++ DESCRIPTION | 8 ++++---- MD5 | 10 ++++++++-- R/sir.R |only R/sir_b.R |only R/sir_full.R |only man/sir.Rd |only man/sir_b.Rd |only man/sir_full.Rd |only 9 files changed, 16 insertions(+), 6 deletions(-)
Title: Tools for Creating Tuning Parameter Values
Description: Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.
Author: Max Kuhn [aut, cre],
RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Diff between dials versions 0.0.4 dated 2019-12-02 and 0.0.5 dated 2020-04-01
DESCRIPTION | 11 - MD5 | 120 +++++------ NAMESPACE | 4 NEWS.md | 14 + R/0_imports.R | 2 R/aaa_ranges.R | 17 - R/aaa_unknown.R | 4 R/aaa_values.R | 16 - R/constructors.R | 44 ++-- R/dplyr-compat-set.R | 22 +- R/encode_unit.R | 22 +- R/finalize.R | 38 ++- R/grids.R | 61 +++-- R/misc.R | 41 ++- R/param_deg_free.R | 2 R/param_degree.R | 4 R/param_mtry.R | 4 R/param_network.R | 4 R/param_num_comp.R | 2 R/param_num_hash.R | 3 R/param_set.R | 36 ++- R/param_svm.R | 14 + R/param_trees.R | 2 R/space_filling.R | 12 - R/validation.R | 21 + README.md | 37 ++- inst/doc/Basics.Rmd | 6 inst/doc/Basics.html | 337 ++++++++++++++++---------------- man/activation.Rd | 4 man/cost.Rd | 3 man/deg_free.Rd | 2 man/degree.Rd | 4 man/dropout.Rd | 2 man/grid_regular.Rd | 31 +- man/mtry.Rd | 4 man/new-param.Rd | 2 man/num_comp.Rd | 2 man/prune_method.Rd | 4 man/surv_dist.Rd | 4 man/texthash.Rd | 2 man/token.Rd | 4 man/trees.Rd | 2 man/value_validate.Rd | 8 man/weight_func.Rd | 4 man/weight_scheme.Rd | 4 tests/testthat/helper-functions.R |only tests/testthat/test_construction.R | 2 tests/testthat/test_deprecated.R |only tests/testthat/test_dplyr_grid_compat.R | 3 tests/testthat/test_dplyr_set_compat.R | 3 tests/testthat/test_encode_unit.R | 7 tests/testthat/test_finalize.R | 15 - tests/testthat/test_grid.R | 36 +++ tests/testthat/test_misc.R | 2 tests/testthat/test_param_set.R | 2 tests/testthat/test_parameters.R | 34 +-- tests/testthat/test_printing.R | 2 tests/testthat/test_ranges.R | 2 tests/testthat/test_space_filling.R | 22 +- tests/testthat/test_unknowns.R | 74 ++++++- tests/testthat/test_values.R | 10 vignettes/Basics.Rmd | 6 62 files changed, 736 insertions(+), 470 deletions(-)
Title: Empirical Mode Decomposition for Cyclostratigraphy
Description: Tools to apply Ensemble Empirical Mode
Decomposition (EEMD) for cyclostratigraphy purposes. Mainly: a new
algorithm, extricate, that performs EEMD in seconds, a linear interpolation
algorithm using the greatest rational common divisor of depth or time,
different algorithms to compute instantaneous amplitude, frequency and
ratios of frequencies, and functions to verify and visualise the outputs.
The functions were developed during the CRASH project (Checking the
Reproducibility of Astrochronology in the Hauterivian). When using for
publication please cite Wouters, S., Da Silva, A.C. Crucifix, M., Sinnesael,
M., Zivanovic, M., Boulvain, F., Devleeschouwer, X., 2019, "Litholog
generation with the 'StratigrapheR' package and signal decomposition for
cyclostratigraphic purposes". Geophysical Research Abstracts Vol. 21,
EGU2019-5520, 2019, EGU General Assembly 2019.
<http://hdl.handle.net/2268/234402>.
Author: Sebastien Wouters [aut, cre]
Maintainer: Sebastien Wouters <sebastien.wouters@doct.uliege.be>
Diff between DecomposeR versions 1.0.0 dated 2020-03-20 and 1.0.1 dated 2020-04-01
DESCRIPTION | 10 +++++----- MD5 | 21 +++++++++++---------- NAMESPACE | 1 + NEWS |only R/DecomposeR.R | 3 ++- R/gzc.departure.R | 8 +++++--- R/n.extrema.R | 9 +++++---- R/parsimony.R | 1 - R/respace.R | 9 ++++++++- man/DecomposeR.Rd | 2 +- man/gzc.departure.Rd | 2 +- man/parsimony.Rd | 1 - 12 files changed, 39 insertions(+), 28 deletions(-)
Title: Diversity-Dependent Diversification
Description: Implements maximum likelihood and bootstrap methods based on
the diversity-dependent birth-death process to test whether
speciation or extinction are diversity-dependent, under various
models including various types of key innovations.
See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309,
<DOI:10.1098/rspb.2011.1439>,
Etienne & Haegeman 2012, Am. Nat. 180: E75-E89,
<DOI:10.1086/667574> and
Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099,
<DOI:10.1111/2041-210X.12565>.
Also contains functions to simulate the diversity-dependent
process.
Author: Rampal S. Etienne & Bart Haegeman
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>
Diff between DDD versions 4.2 dated 2020-02-10 and 4.3 dated 2020-04-01
DESCRIPTION | 8 MD5 | 19 R/dd_KI_loglik.R | 1233 +++++++++++++++++++------------------------ R/dd_MS_loglik.R | 2 R/dd_SR_loglik.R | 30 - R/dd_loglik.R | 74 +- R/dd_loglik_M.R | 19 R/dd_utils.R | 9 man/dd_KI_loglik.Rd | 23 man/dd_multiple_KI_loglik.Rd |only tests/testthat/test_DDD.R | 245 ++++++++ 11 files changed, 893 insertions(+), 769 deletions(-)
Title: Interface and Tools for 'BDL' API
Description: Interface to Local Data Bank ('Bank Danych Lokalnych' - 'bdl') API
<https://api.stat.gov.pl/Home/BdlApi?lang=en> with set of useful tools like
quick plotting and map generating using data from bank.
Author: Artur Sławomirski [aut, cre],
Krzysztof Kania [aut],
Statistics Poland [cph, fnd]
Maintainer: Artur Sławomirski <A.Slawomirski@stat.gov.pl>
Diff between bdl versions 1.0.1 dated 2020-02-29 and 1.0.2 dated 2020-04-01
DESCRIPTION | 18 ++++++++------ MD5 | 32 +++++++++++++------------- NAMESPACE | 3 -- NEWS.md | 12 +++++++++ R/bdl.R | 1 R/generate_map.R | 46 +++++++++++++++++++++++++------------- R/get_data_by_unit.R | 26 +++++++++++++-------- R/get_data_by_unit_locality.R | 20 +++++++++------- R/get_data_by_variable.R | 23 +++++++++++++++---- R/get_data_by_variable_locality.R | 17 ++++++++++++-- R/helpers.R | 11 +++++++-- inst/doc/bdl.Rmd | 2 - inst/doc/bdl.html | 6 ++-- man/bdl.Rd | 7 ++++- man/generate_map.Rd | 2 - tests/testthat/test-requests.R | 23 ++++++++++--------- vignettes/bdl.Rmd | 2 - 17 files changed, 165 insertions(+), 86 deletions(-)
Title: Parse XML
Description: Work with XML files using a simple, consistent
interface. Built on top of the 'libxml2' C library.
Author: Hadley Wickham [aut],
Jim Hester [aut, cre],
Jeroen Ooms [aut],
RStudio [cph],
R Foundation [ctb] (Copy of R-project homepage cached as example)
Maintainer: Jim Hester <jim.hester@rstudio.com>
Diff between xml2 versions 1.2.5 dated 2020-03-11 and 1.3.0 dated 2020-04-01
xml2-1.2.5/xml2/R/RcppExports.R |only xml2-1.2.5/xml2/src/RcppExports.cpp |only xml2-1.3.0/xml2/DESCRIPTION | 17 xml2-1.3.0/xml2/MD5 | 81 +-- xml2-1.3.0/xml2/NAMESPACE | 1 xml2-1.3.0/xml2/NEWS.md | 4 xml2-1.3.0/xml2/R/as_xml_document.R | 2 xml2-1.3.0/xml2/R/classes.R | 13 xml2-1.3.0/xml2/R/init.R | 12 xml2-1.3.0/xml2/R/xml_attr.R | 8 xml2-1.3.0/xml2/R/xml_children.R | 16 xml2-1.3.0/xml2/R/xml_find.R | 12 xml2-1.3.0/xml2/R/xml_modify.R | 48 +- xml2-1.3.0/xml2/R/xml_name.R | 4 xml2-1.3.0/xml2/R/xml_namespaces.R | 2 xml2-1.3.0/xml2/R/xml_parse.R | 6 xml2-1.3.0/xml2/R/xml_path.R | 2 xml2-1.3.0/xml2/R/xml_schema.R | 2 xml2-1.3.0/xml2/R/xml_text.R | 8 xml2-1.3.0/xml2/R/xml_type.R | 4 xml2-1.3.0/xml2/R/xml_url.R | 65 ++- xml2-1.3.0/xml2/R/xml_write.R | 12 xml2-1.3.0/xml2/README.md | 7 xml2-1.3.0/xml2/build/xml2.pdf |binary xml2-1.3.0/xml2/inst/doc/modification.html | 12 xml2-1.3.0/xml2/inst/include/xml2_types.h | 86 +++ xml2-1.3.0/xml2/man/url_absolute.Rd | 2 xml2-1.3.0/xml2/man/url_escape.Rd | 2 xml2-1.3.0/xml2/man/url_parse.Rd | 2 xml2-1.3.0/xml2/src/connection.cpp | 66 +-- xml2-1.3.0/xml2/src/connection.h | 28 - xml2-1.3.0/xml2/src/init.c |only xml2-1.3.0/xml2/src/xml2_doc.cpp | 160 ++++--- xml2-1.3.0/xml2/src/xml2_init.cpp | 27 - xml2-1.3.0/xml2/src/xml2_namespace.cpp | 52 +- xml2-1.3.0/xml2/src/xml2_node.cpp | 496 +++++++++++++++-------- xml2-1.3.0/xml2/src/xml2_output.cpp | 198 ++++++--- xml2-1.3.0/xml2/src/xml2_schema.cpp | 45 +- xml2-1.3.0/xml2/src/xml2_url.cpp | 204 ++++----- xml2-1.3.0/xml2/src/xml2_utils.h | 47 +- xml2-1.3.0/xml2/src/xml2_xpath.cpp | 78 ++- xml2-1.3.0/xml2/tests/testthat/test-modify-xml.R | 4 xml2-1.3.0/xml2/tests/testthat/test-namespaces.R | 4 43 files changed, 1203 insertions(+), 636 deletions(-)
Title: Spatial Survey Design and Analysis
Description: These functions provide procedures for selecting sites for spatial
surveys using spatially balanced algorithms applied to discrete points,
linear networks, or polygons. The probability survey designs available
include independent random samples, stratified random samples, and unequal
probability random samples (categorical or probability proportional to
size). Design-based estimation based on the results from surveys is
available for estimating totals, means, quantiles, CDFs, and linear models.
The analyses rely on package survey for most results. Variance estimation
options include a local neighborhood variance estimator that is appropriate
for spatially-balanced survey designs. A reference for the survey design
portion of the package is: D. L. Stevens, Jr. and A. R. Olsen (2004),
"Spatially-balanced sampling of natural resources.", Journal of the American
Statistical Association 99(465): 262-278, <DOI:10.1198/016214504000000250>.
Additional helpful references for this package are A. R. Olsen, T. M.
Kincaid, and Q. Payton (2012) and T. M. Kincaid and A. R. Olsen (2012), both
of which are chapters in the book "Design and Analysis of Long-Term
Ecological Monitoring Studies" (R. A. Gitzen, J. J. Millspaugh, A. B.
Cooper, and D. S. Licht (eds.), Cambridge University Press, New York,
<Online ISBN:9781139022422>).
Author: Tom Kincaid [aut],
Tony Olsen [aut],
Marc Weber [aut, cre],
Don Stevens [ctb],
Christian Platt [ctb],
Denis White [ctb],
Richard Remington [ctb]
Maintainer: Marc Weber <Weber.Marc@epa.gov>
Diff between spsurvey versions 4.1.1 dated 2019-12-18 and 4.1.2 dated 2020-04-01
spsurvey-4.1.1/spsurvey/inst/extdata/fp_len.rda |only spsurvey-4.1.2/spsurvey/DESCRIPTION | 10 +-- spsurvey-4.1.2/spsurvey/MD5 | 32 +++++----- spsurvey-4.1.2/spsurvey/NEWS.md | 6 ++ spsurvey-4.1.2/spsurvey/build/vignette.rds |binary spsurvey-4.1.2/spsurvey/inst/doc/Area_Analysis.html | 12 +--- spsurvey-4.1.2/spsurvey/inst/doc/Area_Design.html | 47 +++++++--------- spsurvey-4.1.2/spsurvey/inst/doc/CDF_Analysis.html | 12 +--- spsurvey-4.1.2/spsurvey/inst/doc/CDF_Deconvolution.html | 12 +--- spsurvey-4.1.2/spsurvey/inst/doc/CHANGES.pdf |binary spsurvey-4.1.2/spsurvey/inst/doc/Change_Analysis.html | 12 +--- spsurvey-4.1.2/spsurvey/inst/doc/Finite_Analysis.html | 12 +--- spsurvey-4.1.2/spsurvey/inst/doc/Finite_Design.html | 33 +++++------ spsurvey-4.1.2/spsurvey/inst/doc/Linear_Analysis.html | 12 +--- spsurvey-4.1.2/spsurvey/inst/doc/Linear_Design.html | 33 +++++------ spsurvey-4.1.2/spsurvey/inst/doc/Risk_Analysis.html | 12 +--- spsurvey-4.1.2/spsurvey/inst/extdata/ButteCreek.rda |only spsurvey-4.1.2/spsurvey/tests/testthat/test-grts.R | 37 ++---------- 18 files changed, 124 insertions(+), 158 deletions(-)
Title: Enterprise Streamlined 'Shiny' Application Framework
Description: An enterprise-targeted scalable and UI-standardized 'shiny' framework
including a variety of developer convenience functions with the goal of both
streamlining robust application development while assisting with creating a
consistent user experience regardless of application or developer.
Author: Constance Brett [aut, cre],
Isaac Neuhaus [aut] (canvasXpress JavaScript Library Maintainer),
Ger Inberg [ctb],
Bristol-Meyers Squibb (BMS) [cph]
Maintainer: Constance Brett <connie@aggregate-genius.com>
Diff between periscope versions 0.4.8 dated 2020-02-12 and 0.4.9-1 dated 2020-04-01
periscope-0.4.8/periscope/tests/testthat/log |only periscope-0.4.9-1/periscope/DESCRIPTION | 8 periscope-0.4.9-1/periscope/MD5 | 66 +++-- periscope-0.4.9-1/periscope/NAMESPACE | 1 periscope-0.4.9-1/periscope/NEWS.md | 11 periscope-0.4.9-1/periscope/R/convert_template.R | 126 +++++++--- periscope-0.4.9-1/periscope/R/fw_helpers_external.R | 73 +++-- periscope-0.4.9-1/periscope/R/fw_helpers_internal.R | 6 periscope-0.4.9-1/periscope/R/generate_template.R | 89 ++++--- periscope-0.4.9-1/periscope/README.md | 5 periscope-0.4.9-1/periscope/inst/doc/downloadFile-module.R | 6 periscope-0.4.9-1/periscope/inst/doc/downloadFile-module.html | 21 - periscope-0.4.9-1/periscope/inst/doc/downloadablePlot-module.R | 4 periscope-0.4.9-1/periscope/inst/doc/downloadablePlot-module.html | 21 - periscope-0.4.9-1/periscope/inst/doc/downloadableTable-module.R | 6 periscope-0.4.9-1/periscope/inst/doc/downloadableTable-module.html | 21 - periscope-0.4.9-1/periscope/inst/doc/new-application.R | 28 +- periscope-0.4.9-1/periscope/inst/doc/new-application.Rmd | 10 periscope-0.4.9-1/periscope/inst/doc/new-application.html | 49 ++- periscope-0.4.9-1/periscope/inst/fw_templ/p_example/server_local_no_left.R |only periscope-0.4.9-1/periscope/inst/fw_templ/p_example/server_local_plus_no_left.R |only periscope-0.4.9-1/periscope/inst/fw_templ/ui_no_sidebar.R |only periscope-0.4.9-1/periscope/inst/fw_templ/ui_plus_no_sidebar.R |only periscope-0.4.9-1/periscope/man/add_left_sidebar.Rd |only periscope-0.4.9-1/periscope/man/create_new_application.Rd | 9 periscope-0.4.9-1/periscope/tests/testthat/sample_app/program/data |only periscope-0.4.9-1/periscope/tests/testthat/sample_app_no_sidebar |only periscope-0.4.9-1/periscope/tests/testthat/test_convert_application.R | 50 +++ periscope-0.4.9-1/periscope/tests/testthat/test_create_new_application.R | 19 + periscope-0.4.9-1/periscope/tests/testthat/test_ui_functions.R | 80 +++--- periscope-0.4.9-1/periscope/vignettes/images |only periscope-0.4.9-1/periscope/vignettes/new-application.Rmd | 10 32 files changed, 480 insertions(+), 239 deletions(-)
Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation in R that is
extremely fast, flexible and parsimonious to code with and programmer
friendly. It is well integrated with 'dplyr', 'plm' and 'data.table'.
--- Key Features: ---
(1) Advanced data programming: A full set of fast statistical functions
supporting grouped and/or weighted computations on vectors, matrices
and data.frames. Fast (ordered) and reusable grouping, quick data
conversions, and quick select, replace or add data.frame columns.
(2) Advanced aggregation: Fast and easy multi-data-type, multi-function,
weighted, parallelized and fully customized data aggregation.
(3) Advanced transformations: Fast (grouped, weighted) replacing and
sweeping out of statistics, scaling, centering, higher-dimensional
centering, complex linear prediction and partialling-out.
(4) Advanced time-computations: Fast (sequences of) lags / leads, and
(lagged / leaded, iterated) differences and growth rates on (unordered)
time-series and panel data. Multivariate auto, partial and cross-
correlation functions for panel data. Panel data to (ts-)array conversions.
(5) List Processing: (Recursive) list search / identification, extraction /
subsetting, data-apply, and row-binding / unlisting in 2D.
(6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed)
summary statistics for complex multilevel / panel data.
Author: Sebastian Krantz [aut, cre],
Matt Dowle [ctb],
Arun Srinivasan [ctb],
Simen Gaure [ctb],
Dirk Eddelbuettel [ctb],
R Core Team and contributors worldwide [ctb],
Martyn Plummer [cph],
1999-2016 The R Core Team [cph]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>
Diff between collapse versions 1.0.0 dated 2020-03-19 and 1.1.0 dated 2020-04-01
collapse-1.0.0/collapse/src/data.table_openmp-utils.c |only collapse-1.0.0/collapse/src/myomp.h |only collapse-1.1.0/collapse/DESCRIPTION | 8 collapse-1.1.0/collapse/MD5 | 195 collapse-1.1.0/collapse/NAMESPACE | 4 collapse-1.1.0/collapse/NEWS.md | 27 collapse-1.1.0/collapse/R/BY.R | 11 collapse-1.1.0/collapse/R/GRP.R | 35 collapse-1.1.0/collapse/R/RcppExports.R | 48 collapse-1.1.0/collapse/R/TRA.R | 6 collapse-1.1.0/collapse/R/collap.R | 20 collapse-1.1.0/collapse/R/descr.R | 4 collapse-1.1.0/collapse/R/fHDbetween_fHDwithin.R | 4 collapse-1.1.0/collapse/R/fNdistinct.R | 12 collapse-1.1.0/collapse/R/fNobs.R | 12 collapse-1.1.0/collapse/R/fbetween_fwithin.R | 208 - collapse-1.1.0/collapse/R/fdiff.R | 18 collapse-1.1.0/collapse/R/ffirst.R | 12 collapse-1.1.0/collapse/R/fgrowth.R | 18 collapse-1.1.0/collapse/R/flag.R | 18 collapse-1.1.0/collapse/R/flast.R | 12 collapse-1.1.0/collapse/R/fmax.R | 12 collapse-1.1.0/collapse/R/fmean.R | 14 collapse-1.1.0/collapse/R/fmedian.R | 12 collapse-1.1.0/collapse/R/fmin.R | 12 collapse-1.1.0/collapse/R/fmode.R | 12 collapse-1.1.0/collapse/R/fprod.R | 123 collapse-1.1.0/collapse/R/fscale.R | 128 collapse-1.1.0/collapse/R/fsum.R | 148 collapse-1.1.0/collapse/R/fvar_fsd.R | 28 collapse-1.1.0/collapse/R/global_macros.R | 4 collapse-1.1.0/collapse/R/my_RcppExports.R | 48 collapse-1.1.0/collapse/R/psacf.R | 22 collapse-1.1.0/collapse/R/psmat.R | 16 collapse-1.1.0/collapse/R/qsu.R | 32 collapse-1.1.0/collapse/R/small_helper.R | 29 collapse-1.1.0/collapse/R/zzz.R | 20 collapse-1.1.0/collapse/inst/NEWS.Rd |only collapse-1.1.0/collapse/inst/doc/collapse_and_dplyr.R | 12 collapse-1.1.0/collapse/inst/doc/collapse_and_dplyr.Rmd | 28 collapse-1.1.0/collapse/inst/doc/collapse_and_dplyr.html | 138 collapse-1.1.0/collapse/inst/doc/collapse_and_plm.R | 34 collapse-1.1.0/collapse/inst/doc/collapse_and_plm.Rmd | 54 collapse-1.1.0/collapse/inst/doc/collapse_and_plm.html | 1732 ++++---- collapse-1.1.0/collapse/inst/doc/collapse_intro.R | 32 collapse-1.1.0/collapse/inst/doc/collapse_intro.Rmd | 43 collapse-1.1.0/collapse/inst/doc/collapse_intro.html | 235 - collapse-1.1.0/collapse/man/TRA.Rd | 18 collapse-1.1.0/collapse/man/collapse-documentation.Rd | 4 collapse-1.1.0/collapse/man/collapse-package.Rd | 19 collapse-1.1.0/collapse/man/data-transformations.Rd | 9 collapse-1.1.0/collapse/man/fHDbetween_fHDwithin.Rd | 2 collapse-1.1.0/collapse/man/fNdistinct.Rd | 3 collapse-1.1.0/collapse/man/fNobs.Rd | 3 collapse-1.1.0/collapse/man/fast-statistical-functions.Rd | 6 collapse-1.1.0/collapse/man/fbetween_fwithin.Rd | 34 collapse-1.1.0/collapse/man/ffirst_flast.Rd | 3 collapse-1.1.0/collapse/man/fmean.Rd | 5 collapse-1.1.0/collapse/man/fmedian.Rd | 3 collapse-1.1.0/collapse/man/fmin_fmax.Rd | 3 collapse-1.1.0/collapse/man/fmode.Rd | 3 collapse-1.1.0/collapse/man/fprod.Rd | 29 collapse-1.1.0/collapse/man/fscale.Rd | 60 collapse-1.1.0/collapse/man/fsum.Rd | 30 collapse-1.1.0/collapse/man/fvar_fsd.Rd | 2 collapse-1.1.0/collapse/man/quick_conversion.Rd | 2 collapse-1.1.0/collapse/man/small_helper.Rd | 15 collapse-1.1.0/collapse/src/ExportSymbols.cpp | 22 collapse-1.1.0/collapse/src/RcppExports.cpp | 111 collapse-1.1.0/collapse/src/TRA.cpp | 121 collapse-1.1.0/collapse/src/collapse.h | 24 collapse-1.1.0/collapse/src/data.table.h | 73 collapse-1.1.0/collapse/src/data.table_assign.c | 9 collapse-1.1.0/collapse/src/data.table_forder.c | 30 collapse-1.1.0/collapse/src/data.table_frank.c | 162 collapse-1.1.0/collapse/src/data.table_init.c | 82 collapse-1.1.0/collapse/src/data.table_utils.c | 31 collapse-1.1.0/collapse/src/fbetween_fwithin.cpp | 281 - collapse-1.1.0/collapse/src/fbstats.cpp | 10 collapse-1.1.0/collapse/src/fmean.cpp | 16 collapse-1.1.0/collapse/src/fmode.cpp | 28 collapse-1.1.0/collapse/src/fprod.cpp | 240 + collapse-1.1.0/collapse/src/fscale.cpp | 2046 +++------- collapse-1.1.0/collapse/src/fsum.cpp | 243 + collapse-1.1.0/collapse/src/fvar_fsd.cpp | 50 collapse-1.1.0/collapse/tests/testthat/test-BY.R | 175 collapse-1.1.0/collapse/tests/testthat/test-GRP.R | 2 collapse-1.1.0/collapse/tests/testthat/test-TRA.R | 12 collapse-1.1.0/collapse/tests/testthat/test-collap.R | 20 collapse-1.1.0/collapse/tests/testthat/test-fbetween-fwithin-B-W.R | 101 collapse-1.1.0/collapse/tests/testthat/test-fmin-fmax.R | 4 collapse-1.1.0/collapse/tests/testthat/test-fprod.R | 2 collapse-1.1.0/collapse/tests/testthat/test-fscale-STD.R | 513 +- collapse-1.1.0/collapse/tests/testthat/test-fsum.R | 2 collapse-1.1.0/collapse/tests/testthat/test-fvar-fsd.R | 8 collapse-1.1.0/collapse/tests/testthat/test-qsu.R | 1 collapse-1.1.0/collapse/tests/testthat/test-select-replace-vars.R | 84 collapse-1.1.0/collapse/vignettes/collapse_and_dplyr.Rmd | 28 collapse-1.1.0/collapse/vignettes/collapse_and_plm.Rmd | 54 collapse-1.1.0/collapse/vignettes/collapse_intro.Rmd | 43 100 files changed, 4520 insertions(+), 4001 deletions(-)
Title: Authentication for 'Shiny' Apps with 'Amazon Cognito'
Description: Provides authentication for Shiny applications using 'Amazon Cognito' ( <https://aws.amazon.com/es/cognito/>).
Author: Pablo Pagnone [aut, cre]
Maintainer: Pablo Pagnone <pablodp84@gmail.com>
Diff between cognitoR versions 0.1.0 dated 2020-03-31 and 1.0.0 dated 2020-04-01
cognitoR-0.1.0/cognitoR/inst/config.yml |only cognitoR-1.0.0/cognitoR/DESCRIPTION | 6 +++--- cognitoR-1.0.0/cognitoR/MD5 | 4 ++-- cognitoR-1.0.0/cognitoR/NEWS.md |only 4 files changed, 5 insertions(+), 5 deletions(-)
Title: Miscellaneous Functions for Panel Data, Quantiles, and Printing
Results
Description: These are miscellaneous functions for working with panel data, quantiles, and printing results. For panel data, the package includes functions for making a panel data balanced (that is, dropping missing individuals that have missing observations in any time period), converting id numbers to row numbers, and to treat repeated cross sections as panel data under the assumption of rank invariance. For quantiles, there are functions to make distribution functions from a set of data points (this is particularly useful when a distribution function is created in several steps), to combine distribution functions based on some external weights, and to invert distribution functions. Finally, there are several other miscellaneous functions for obtaining weighted means, weighted distribution functions, and weighted quantiles; to generate summary statistics and their differences for two groups; and to add or drop covariates from formulas.
Author: Brantly Callaway [aut, cre]
Maintainer: Brantly Callaway <bmcallaw@olemiss.edu>
Diff between BMisc versions 1.3.1 dated 2018-08-15 and 1.4.1 dated 2020-04-01
DESCRIPTION | 15 - MD5 | 60 ++--- NAMESPACE | 2 NEWS.md | 12 + R/BMisc.R | 467 ++++++++++++++++++++++++-------------------- R/imports.R | 4 man/BMisc.Rd | 5 man/addCovToFormla.Rd | 2 man/blockBootSample.Rd |only man/checkfun.Rd | 2 man/combineDfs.Rd | 2 man/compareBinary.Rd | 13 - man/compareSingleBinary.Rd | 13 - man/cs2panel.Rd | 5 man/dropCovFromFormla.Rd | 6 man/getListElement.Rd |only man/getWeightedDf.Rd | 5 man/getWeightedMean.Rd | 2 man/getWeightedQuantile.Rd | 2 man/getWeightedQuantiles.Rd | 2 man/id2rownum.Rd | 2 man/ids2rownum.Rd | 4 man/invertEcdf.Rd | 2 man/lhs.vars.Rd | 2 man/makeBalancedPanel.Rd | 2 man/makeDist.Rd | 19 + man/panel2cs.Rd | 8 man/rhs.Rd | 2 man/rhs.vars.Rd | 2 man/subsample.Rd | 2 man/toformula.Rd | 2 man/weighted.checkfun.Rd | 2 32 files changed, 378 insertions(+), 290 deletions(-)
Title: Bivariate Residual Plots with Simulation Polygons
Description: Generates bivariate residual plots with simulation polygons for any diagnostics and bivariate model from which functions to extract the desired diagnostics, simulate new data and refit the models are available.
Author: Rafael de Andrade Moral [aut, cre],
John Hinde [aut]
Maintainer: Rafael de Andrade Moral <rafael.deandrademoral@mu.ie>
Diff between bivrp versions 1.2 dated 2019-05-04 and 1.2-2 dated 2020-04-01
bivrp-1.2-2/bivrp/DESCRIPTION | 13 ++++++------- bivrp-1.2-2/bivrp/MD5 | 11 +++++------ bivrp-1.2-2/bivrp/NAMESPACE | 4 ++-- bivrp-1.2-2/bivrp/R/bivrp.R | 2 +- bivrp-1.2-2/bivrp/R/polygon-operations.R | 2 +- bivrp-1.2-2/bivrp/build/partial.rdb |binary bivrp-1.2/bivrp/man/bivrp-internal.Rd |only 7 files changed, 15 insertions(+), 17 deletions(-)
Title: Scale Space Multiresolution Analysis of Random Signals
Description: A method for the multiresolution analysis of spatial fields and images to capture scale-dependent features.
mrbsizeR is based on scale space smoothing and uses differences of smooths at neighbouring scales for finding features on different scales.
To infer which of the captured features are credible, Bayesian analysis is used.
The scale space multiresolution analysis has three steps: (1) Bayesian signal reconstruction.
(2) Using differences of smooths, scale-dependent features of the reconstructed signal can be found.
(3) Posterior credibility analysis of the differences of smooths created.
The method has first been proposed by Holmstrom, Pasanen, Furrer, Sain (2011) <DOI:10.1016/j.csda.2011.04.011>.
Matlab code is available under <http://cc.oulu.fi/~lpasanen/MRBSiZer/>.
Author: Thimo Schuster [aut],
Roman Flury [cre, aut],
Leena Pasanen [ctb],
Reinhard Furrer [ctb]
Maintainer: Roman Flury <roman.flury@math.uzh.ch>
Diff between mrbsizeR versions 1.2.1 dated 2019-12-13 and 1.2.1.1 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- build/vignette.rds |binary inst/doc/mrbsizeR.R | 40 ++++++++++++++++++++-------------------- inst/doc/mrbsizeR.pdf |binary 5 files changed, 27 insertions(+), 27 deletions(-)
Title: Gaussian Processes for Pareto Front Estimation and Optimization
Description: Gaussian process regression models, a.k.a. Kriging models, are
applied to global multi-objective optimization of black-box functions.
Multi-objective Expected Improvement and Step-wise Uncertainty Reduction
sequential infill criteria are available. A quantification of uncertainty
on Pareto fronts is provided using conditional simulations.
Author: Mickael Binois, Victor Picheny
Maintainer: Mickael Binois <mickael.binois@inria.fr>
Diff between GPareto versions 1.1.4 dated 2019-12-06 and 1.1.4.1 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 6 +++--- build/vignette.rds |binary inst/doc/GPareto_vignette.pdf |binary 4 files changed, 6 insertions(+), 6 deletions(-)
Title: Assertion and Message Functions
Description: Enhanced message functions (cat() / message() / warning() / error())
using wrappers around sprintf(). Also, multiple assertion functions
(e.g. to check class, length, values, files, arguments, etc.).
Author: Florian Privé [aut, cre]
Maintainer: Florian Privé <florian.prive.21@gmail.com>
Diff between bigassertr versions 0.1.2 dated 2020-01-28 and 0.1.3 dated 2020-04-01
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NAMESPACE | 1 + R/assert.R | 12 ++++++++++++ man/assert.Rd | 7 +++++++ tests/testthat/test-assert.R | 6 ++++++ 6 files changed, 35 insertions(+), 9 deletions(-)
More information about stormwindmodel at CRAN
Permanent link
Title: Depth Measures in Multivariate, Regression and Functional
Settings
Description: Tools to compute depth measures and implementations of related
tasks such as outlier detection, data exploration and
classification of multivariate, regression and functional data.
Author: Pieter Segaert [aut],
Mia Hubert [aut],
Peter Rousseeuw [aut],
Jakob Raymaekers [aut, cre],
Kaveh Vakili [ctb]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>
Diff between mrfDepth versions 1.0.11 dated 2019-05-15 and 1.0.12 dated 2020-04-01
DESCRIPTION | 8 ++++---- MD5 | 6 +++--- R/mfd.R | 2 +- src/dirOutl.h | 1 - 4 files changed, 8 insertions(+), 9 deletions(-)
Title: Converting Transport Data from GTFS Format to GPS-Like Records
Description: Convert general transit feed specification (GTFS) data to global positioning system (GPS) records in 'data.table' format. It also has some functions to subset GTFS data in time and space and to convert both representations to simple feature format.
Author: Rafael H. M. Pereira [aut] (<https://orcid.org/0000-0003-2125-7465>),
Pedro R. Andrade [aut, cre] (<https://orcid.org/0000-0001-8675-4046>),
Joao Bazzo [aut] (<https://orcid.org/0000-0003-4536-5006>),
Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Pedro R. Andrade <pedro.andrade@inpe.br>
Diff between gtfs2gps versions 1.0-5 dated 2020-03-16 and 1.0-7 dated 2020-04-01
DESCRIPTION | 10 +++++----- MD5 | 16 ++++++++-------- R/mod_updates.R | 6 ++++++ README.md | 6 +++--- inst/doc/intro_to_gtfs2gps.Rmd | 4 ++-- inst/doc/intro_to_gtfs2gps.html | 6 +++--- src/snap_points.cpp | 32 ++++++++++++++++---------------- tests/testthat/test_gtfs2gps.R | 6 +++--- vignettes/intro_to_gtfs2gps.Rmd | 4 ++-- 9 files changed, 48 insertions(+), 42 deletions(-)
Title: Parse 'User-Agent' Strings
Description: Despite there being a section in RFC 7231
<https://tools.ietf.org/html/rfc7231#section-5.5.3> defining a suggested
structure for 'User-Agent' headers this data is notoriously difficult
to parse consistently. Tools are provided that will take in user agent
strings and return structured R objects. This is a 'V8'-backed package
based on the 'ua-parser' project <https://github.com/ua-parser>.
Author: Bob Rudis [aut, cre],
Lindsey Simon [aut] (uap-core),
Tobie Langel [aut] (uap-core),
Colman Humphrey [ctb]
Maintainer: Bob Rudis <bob@rud.is>
Diff between uaparserjs versions 0.1.0 dated 2016-08-05 and 0.3.1 dated 2020-04-01
DESCRIPTION | 31 LICENSE |only MD5 | 25 NAMESPACE | 6 NEWS.md | 7 R/uaparser.R | 52 R/uaparserjs-package.R | 13 R/utils-mappers.R |only R/zzz.r | 8 README.md | 178 + inst/js/bld |only inst/js/bundle.js | 2908 ----------------------------- inst/js/index.js | 4753 ++++++++++++++++++++++++++----------------------- man/ua_parse.Rd | 16 man/uaparserjs.Rd | 11 15 files changed, 2817 insertions(+), 5191 deletions(-)
Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles:
Linear and nonlinear parametric and non-parametric (total variation penalized) models
for conditional quantiles of a univariate response and several methods for handling
censored survival data. Portfolio selection methods based on expected shortfall
risk are also now included.
Author: Roger Koenker [cre, aut],
Stephen Portnoy [ctb] (Contributions to Censored QR code),
Pin Tian Ng [ctb] (Contributions to Sparse QR code),
Achim Zeileis [ctb] (Contributions to dynrq code essentially identical
to his dynlm code),
Philip Grosjean [ctb] (Contributions to nlrq code),
Cleve Moler [ctb] (author of several linpack routines),
Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my
everlasting shame -- how could I have been so slow to adopt R!) and
for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>
Diff between quantreg versions 5.54 dated 2019-12-13 and 5.55 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- R/quantreg.R | 8 ++++---- inst/ChangeLog | 6 ++++++ src/ratfor/README | 6 ++++++ 5 files changed, 23 insertions(+), 11 deletions(-)
Title: Tools for Matrix Algebra, Optimization and Inference
Description: Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyoustat@gmail.com>
Diff between maotai versions 0.1.3 dated 2020-03-02 and 0.1.4 dated 2020-04-01
maotai-0.1.3/maotai/man/maotai.Rd |only maotai-0.1.4/maotai/DESCRIPTION | 11 ++- maotai-0.1.4/maotai/MD5 | 63 ++++++++++----------- maotai-0.1.4/maotai/NAMESPACE | 1 maotai-0.1.4/maotai/NEWS.md | 6 ++ maotai-0.1.4/maotai/R/boot.mblock.R | 3 - maotai-0.1.4/maotai/R/boot.stationary.R | 3 - maotai-0.1.4/maotai/R/distgmm.R | 3 - maotai-0.1.4/maotai/R/dpmeans.R | 8 +- maotai-0.1.4/maotai/R/ecdfdist.R | 3 - maotai-0.1.4/maotai/R/ecdfdist2.R | 3 - maotai-0.1.4/maotai/R/epmeans.R | 3 - maotai-0.1.4/maotai/R/hidden_kmedoids.R |only maotai-0.1.4/maotai/R/lgpa.R | 3 - maotai-0.1.4/maotai/R/matderiv.R | 5 + maotai-0.1.4/maotai/R/mmd2test.R | 3 - maotai-0.1.4/maotai/R/package-maotai.R | 24 -------- maotai-0.1.4/maotai/R/shortestpath.R | 5 + maotai-0.1.4/maotai/R/weiszfeld.R | 3 - maotai-0.1.4/maotai/README.md | 85 +++++++++++++++++++++++++++-- maotai-0.1.4/maotai/build/partial.rdb |binary maotai-0.1.4/maotai/man/boot.mblock.Rd | 3 - maotai-0.1.4/maotai/man/boot.stationary.Rd | 3 - maotai-0.1.4/maotai/man/distgmm.Rd | 3 - maotai-0.1.4/maotai/man/dpmeans.Rd | 8 +- maotai-0.1.4/maotai/man/ecdfdist.Rd | 3 - maotai-0.1.4/maotai/man/ecdfdist2.Rd | 3 - maotai-0.1.4/maotai/man/epmeans.Rd | 3 - maotai-0.1.4/maotai/man/lgpa.Rd | 3 - maotai-0.1.4/maotai/man/matderiv.Rd | 5 + maotai-0.1.4/maotai/man/mmd2test.Rd | 3 - maotai-0.1.4/maotai/man/package-maotai.Rd |only maotai-0.1.4/maotai/man/shortestpath.Rd | 5 + maotai-0.1.4/maotai/man/weiszfeld.Rd | 3 - 34 files changed, 187 insertions(+), 93 deletions(-)
Title: General-to-Specific (GETS) Modelling and Indicator Saturation
Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>
Diff between gets versions 0.21 dated 2019-09-30 and 0.22 dated 2020-04-01
DESCRIPTION | 8 - MD5 | 42 ++++---- NEWS | 14 ++ R/dropvar.R | 2 R/eviews.R | 16 +-- R/gets-internal.R | 2 R/isat.R | 14 +- R/outliertest.R | 94 +++++++++--------- R/plot.isat.R | 6 - R/print.arx.R | 38 +++---- R/print.gets.R | 76 +++++++------- R/print.isat.R | 264 ++++++++++++++++++++++++++-------------------------- R/printtex.R | 38 +++---- R/stata.R | 16 +-- R/terminals.R | 2 data/hpdata.rda |binary data/infldata.rda |binary data/so2data.rda |binary data/sp500data.rda |binary man/gets-package.Rd | 4 man/ols.Rd | 10 + man/outliertest.Rd | 2 22 files changed, 332 insertions(+), 316 deletions(-)
Title: Fast and Easy Data Cleaning
Description: Data cleaning functions for classes logical,
factor, numeric, character, currency and Date to make
data cleaning fast and easy. Relying on very few dependencies, it
provides smart guessing, but with user options to override
anything if needed.
Author: Matthijs S. Berends [aut, cre]
(<https://orcid.org/0000-0001-7620-1800>)
Maintainer: Matthijs S. Berends <m.s.berends@umcg.nl>
Diff between cleaner versions 1.3.1 dated 2020-01-31 and 1.4.0 dated 2020-04-01
DESCRIPTION | 12 +- MD5 | 41 ++++----- NAMESPACE | 16 ++- NEWS.md | 34 +++++++ R/clean.R | 138 ++++++++++++++++++++++++------- R/currency.R | 47 ++++++++-- R/format_datetime.R | 54 ++++++------ R/freq.R | 172 +++++++++++++++++++-------------------- R/helpers.R | 49 +++++++---- R/percentage.R | 26 ++++- R/rdate.R |only README.md | 22 ++-- man/clean.Rd | 26 ++++- man/currency.Rd | 9 +- man/freq.Rd | 2 man/percentage.Rd | 2 man/rdate.Rd |only man/unclean.Rd | 6 - tests/testthat/test-clean.R | 3 tests/testthat/test-currency.R | 1 tests/testthat/test-freq.R | 131 ----------------------------- tests/testthat/test-is.Date.R |only tests/testthat/test-percentage.R | 1 23 files changed, 433 insertions(+), 359 deletions(-)
Title: Friendly R Startup Configuration
Description: Adds support for R startup configuration via '.Renviron.d' and '.Rprofile.d' directories in addition to '.Renviron' and '.Rprofile' files. This makes it possible to keep private / secret environment variables separate from other environment variables. It also makes it easier to share specific startup settings by simply copying a file to a directory.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between startup versions 0.14.0 dated 2019-12-09 and 0.14.1 dated 2020-04-01
DESCRIPTION | 8 +- MD5 | 22 ++++--- NEWS | 27 +++++++++ R/agenda.R | 21 ++++--- R/check.R | 60 ++++++++++++++------ R/options.R |only R/rprofile_d.R | 9 --- R/startup.R | 143 ++++++++++++++++++++++++++++++------------------- R/utils.R | 2 README.md | 15 ++--- build/vignette.rds |binary inst/WORDLIST | 1 man/startup.options.Rd |only 13 files changed, 200 insertions(+), 108 deletions(-)
Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into
different SQL dialects. These dialects include 'Microsoft Sql Server', 'Oracle',
'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', and 'SQLite'.
Author: Martijn Schuemie [aut, cre],
Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Diff between SqlRender versions 1.6.4 dated 2020-03-17 and 1.6.5 dated 2020-04-01
SqlRender-1.6.4/SqlRender/man/SqlRender.Rd |only SqlRender-1.6.5/SqlRender/DESCRIPTION | 10 +- SqlRender-1.6.5/SqlRender/MD5 | 25 ++--- SqlRender-1.6.5/SqlRender/NEWS.md | 33 +++++++ SqlRender-1.6.5/SqlRender/R/RenderSql.R | 11 -- SqlRender-1.6.5/SqlRender/R/SqlRender.R |only SqlRender-1.6.5/SqlRender/inst/csv/replacementPatterns.csv | 1 SqlRender-1.6.5/SqlRender/inst/doc/UsingSqlRender.pdf |binary SqlRender-1.6.5/SqlRender/inst/java/SqlRender.jar |binary SqlRender-1.6.5/SqlRender/man/SqlRender-package.Rd |only SqlRender-1.6.5/SqlRender/man/camelCaseToSnakeCase.Rd | 42 ++++----- SqlRender-1.6.5/SqlRender/man/readSql.Rd | 48 +++++------ SqlRender-1.6.5/SqlRender/man/snakeCaseToCamelCase.Rd | 42 ++++----- SqlRender-1.6.5/SqlRender/man/writeSql.Rd | 48 +++++------ SqlRender-1.6.5/SqlRender/tests/testthat/test-translateSql.R | 14 ++- 15 files changed, 152 insertions(+), 122 deletions(-)
Title: Summarize and Explore the Data
Description: Exploratory analysis on any input data describing the structure and the relationships present in the data. The package automatically select the variable and does related descriptive statistics. Analyzing information value, weight of evidence, custom tables, summary statistics, graphical techniques will be performed for both numeric and categorical predictors.
Author: Dayanand Ubrangala [aut, cre],
Kiran R [aut, ctb],
Ravi Prasad Kondapalli [aut, ctb],
Sayan Putatunda [aut, ctb]
Maintainer: Dayanand Ubrangala <daya6489@gmail.com>
Diff between SmartEDA versions 0.3.3 dated 2020-01-21 and 0.3.4 dated 2020-04-01
DESCRIPTION | 6 - MD5 | 33 +++--- NAMESPACE | 2 NEWS.md | 7 + R/fn_exp_categorical_viz.R | 2 R/fn_exp_numeric.R | 5 - R/fn_exp_numeric_viz.R | 2 R/fn_exp_outliers.R | 14 ++ R/utilis.R | 12 +- README.md | 225 +++++++++++++++------------------------------ inst/doc/CustomTable.html | 74 +++++++------- inst/doc/SmartEDA.Rmd | 3 inst/doc/SmartEDA.html | 24 +++- man/ExpOutliers.Rd | 6 + man/figures |only tests/testthat/Rplots.pdf |only vignettes/SmartEDA.Rmd | 3 17 files changed, 192 insertions(+), 226 deletions(-)
Title: Analyzing Real-Time Quantitative PCR Data
Description: Calculates the amplification efficiency and curves from real-time
quantitative PCR (Polymerase Chain Reaction) data. Estimates the relative
expression from PCR data using the double delta CT and the standard curve
methods Livak & Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Tests for
statistical significance using two-group tests and linear regression
Yuan et al. (2006) <doi: 10.1186/1471-2105-7-85>.
Author: Mahmoud Ahmed [aut, cre] (<https://orcid.org/0000-0002-4377-6541>)
Maintainer: Mahmoud Ahmed <mahmoud.s.fahmy@students.kasralainy.edu.eg>
Diff between pcr versions 1.2.1 dated 2020-02-25 and 1.2.2 dated 2020-04-01
DESCRIPTION | 8 ++-- MD5 | 28 +++++++------- NEWS.md | 5 ++ R/analyses_fun.R | 12 ++++++ R/assessment_fun.R | 8 ++++ R/testing_fun.R | 8 ++++ inst/doc/qpcr_analysis.html | 12 ++++-- man/pcr.Rd | 1 man/pcr_curve.Rd | 13 +++++- man/pcr_dct.Rd | 10 ++++- man/pcr_ddct.Rd | 11 ++++- man/pcr_lm.Rd | 12 +++++- man/pcr_ttest.Rd | 3 - man/pcr_wilcox.Rd | 3 - tests/testthat/test_analyses_fun.R | 70 +++++++++++++++++++++++++++++++++++++ 15 files changed, 170 insertions(+), 34 deletions(-)
Title: Incremental Calculation of Dynamic Time Warping
Description: The Dynamic Time Warping (DTW) distance measure for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. IncDTW is characterized by (1) the incremental calculation of DTW (reduces runtime complexity to a linear level for updating the DTW distance) - especially for life data streams or subsequence matching, (2) the vector based implementation of DTW which is faster because no matrices are allocated (reduces the space complexity from a quadratic to a linear level in the number of observations) - for all runtime intensive DTW computations, (3) the subsequence matching algorithm runDTW, that efficiently finds the k-NN to a query pattern in a long time series, and (4) C++ in the heart. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>.
Author: Maximilian Leodolter
Maintainer: Maximilian Leodolter <maximilian.leodolter@gmail.com>
Diff between IncDTW versions 1.1.3 dated 2019-12-18 and 1.1.3.1 dated 2020-04-01
DESCRIPTION | 6 ++--- MD5 | 12 +++++----- build/vignette.rds |binary data/brush_teeth.rda |binary data/drink_glass.rda |binary data/walk.rda |binary inst/doc/Theory_and_Applications_for_the_R_Package_IncDTW.pdf |binary 7 files changed, 9 insertions(+), 9 deletions(-)
Title: Transformation Boosting Machines
Description: Boosting the likelihood of conditional and shift transformation models.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>
Diff between tbm versions 0.3-2 dated 2019-12-11 and 0.3-2.1 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 6 +++--- build/vignette.rds |binary inst/doc/tbm_supplement.pdf |binary 4 files changed, 6 insertions(+), 6 deletions(-)
Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web 'APIs' for taxonomic tasks,
such as getting database specific taxonomic identifiers, verifying
species names, getting taxonomic hierarchies, fetching downstream and
upstream taxonomic names, getting taxonomic synonyms, converting
scientific to common names and vice versa, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>),
Eduard Szoecs [aut],
Zachary Foster [aut],
Zebulun Arendsee [aut],
Carl Boettiger [ctb],
Karthik Ram [ctb],
Ignasi Bartomeus [ctb],
John Baumgartner [ctb],
James O'Donnell [ctb],
Jari Oksanen [ctb],
Bastian Greshake Tzovaras [ctb],
Philippe Marchand [ctb],
Vinh Tran [ctb],
Maëlle Salmon [ctb],
Gaopeng Li [ctb],
Matthias Grenié [ctb],
rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Diff between taxize versions 0.9.93 dated 2020-03-20 and 0.9.94 dated 2020-04-01
taxize-0.9.93/taxize/tests/fixtures/iucn_summary_not_found_1.yml |only taxize-0.9.94/taxize/DESCRIPTION | 6 taxize-0.9.94/taxize/MD5 | 80 taxize-0.9.94/taxize/NAMESPACE | 2 taxize-0.9.94/taxize/NEWS.md | 18 taxize-0.9.94/taxize/R/classification.R | 23 taxize-0.9.94/taxize/R/downstream-utils.R | 1 taxize-0.9.94/taxize/R/get_pow.R | 15 taxize-0.9.94/taxize/R/iucn_summary.R | 25 taxize-0.9.94/taxize/R/pow_search.R | 34 taxize-0.9.94/taxize/R/scrapenames.r | 18 taxize-0.9.94/taxize/R/synonyms.R | 57 taxize-0.9.94/taxize/README.md | 17 taxize-0.9.94/taxize/data/species_plantarum_binomials.rda |binary taxize-0.9.94/taxize/inst/doc/infotable.html | 4 taxize-0.9.94/taxize/inst/doc/name_cleaning.Rmd | 33 taxize-0.9.94/taxize/inst/doc/name_cleaning.html | 35 taxize-0.9.94/taxize/inst/doc/taxize.Rmd | 37 taxize-0.9.94/taxize/inst/doc/taxize.html | 39 taxize-0.9.94/taxize/man/classification.Rd | 2 taxize-0.9.94/taxize/man/get_pow.Rd | 3 taxize-0.9.94/taxize/man/iucn_summary.Rd | 2 taxize-0.9.94/taxize/man/pow_lookup.Rd | 7 taxize-0.9.94/taxize/man/pow_search.Rd | 3 taxize-0.9.94/taxize/man/pow_synonyms.Rd |only taxize-0.9.94/taxize/man/scrapenames.Rd | 18 taxize-0.9.94/taxize/man/synonyms.Rd | 14 taxize-0.9.94/taxize/tests/fixtures/classification_gbif.yml | 46 taxize-0.9.94/taxize/tests/fixtures/classification_gbif_get_fxn.yml | 45 taxize-0.9.94/taxize/tests/fixtures/classification_gbif_ranks_below_species_subsp.yml |only taxize-0.9.94/taxize/tests/fixtures/classification_gbif_ranks_below_species_var.yml |only taxize-0.9.94/taxize/tests/fixtures/classification_gbif_ranks_correct_order.yml | 17 taxize-0.9.94/taxize/tests/fixtures/classification_rows_param.yml | 45 taxize-0.9.94/taxize/tests/fixtures/iucn_summary.yml | 124 - taxize-0.9.94/taxize/tests/fixtures/iucn_summary_other_egs.yml | 468 +++- taxize-0.9.94/taxize/tests/fixtures/synonyms_name_found_but_no_synonyms.yml | 953 +--------- taxize-0.9.94/taxize/tests/fixtures/synonyms_name_not_found.yml | 353 --- taxize-0.9.94/taxize/tests/testthat/Rplots.pdf |binary taxize-0.9.94/taxize/tests/testthat/test-classification-gbif.R | 38 taxize-0.9.94/taxize/tests/testthat/test-iucn_summary.R | 11 taxize-0.9.94/taxize/tests/testthat/test-synonyms.R | 10 taxize-0.9.94/taxize/vignettes/name_cleaning.Rmd | 33 taxize-0.9.94/taxize/vignettes/taxize.Rmd | 37 43 files changed, 1013 insertions(+), 1660 deletions(-)
Title: Geometric Shadow Calculations
Description: Functions for calculating: (1) shadow height, (2) logical shadow flag, (3) shadow footprint, (4) Sky View Factor and (5) radiation load. Basic required inputs include a polygonal layer of obstacle outlines along with their heights (i.e. "extruded polygons"), sun azimuth and sun elevation. The package also provides functions for related preliminary calculations: breaking polygons into line segments, determining azimuth of line segments, shifting segments by azimuth and distance, constructing the footprint of a line-of-sight between an observer and the sun, and creating a 3D grid covering the surface area of extruded polygons.
Author: Michael Dorman [aut, cre],
Evyatar Erell [ctb],
Itai Kloog [ctb],
Adi Vulkan [ctb]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>
Diff between shadow versions 0.6.4 dated 2020-02-03 and 0.6.4.1 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 24 ++++++++++++------------ build/vignette.rds |binary data/beersheva_build.RData |binary data/beersheva_elev.RData |binary data/boston_block.RData |binary data/boston_build.RData |binary data/boston_park.RData |binary data/boston_sidewalk.RData |binary data/build.RData |binary data/tmy.RData |binary data/tmy2.RData |binary inst/doc/introduction.pdf |binary 13 files changed, 15 insertions(+), 15 deletions(-)
Title: Image Registration Using the 'NiftyReg' Library
Description: Provides an 'R' interface to the 'NiftyReg' image registration tools
<http://sourceforge.net/projects/niftyreg/>. Linear and nonlinear registration
are supported, in two and three dimensions.
Author: Jon Clayden [cre, aut],
Marc Modat [aut],
Benoit Presles [aut],
Thanasis Anthopoulos [aut],
Pankaj Daga [aut]
Maintainer: Jon Clayden <code@clayden.org>
Diff between RNiftyReg versions 2.6.7 dated 2019-09-11 and 2.6.8 dated 2020-04-01
RNiftyReg-2.6.7/RNiftyReg/tools/figures/house-bw.jpg |only RNiftyReg-2.6.7/RNiftyReg/tools/figures/house-halfskewed.jpg |only RNiftyReg-2.6.7/RNiftyReg/tools/figures/house-skewed.jpg |only RNiftyReg-2.6.7/RNiftyReg/tools/figures/house-transformed1.jpg |only RNiftyReg-2.6.7/RNiftyReg/tools/figures/house-transformed2.jpg |only RNiftyReg-2.6.7/RNiftyReg/tools/figures/house.jpg |only RNiftyReg-2.6.8/RNiftyReg/DESCRIPTION | 10 - RNiftyReg-2.6.8/RNiftyReg/MD5 | 25 +-- RNiftyReg-2.6.8/RNiftyReg/NEWS | 8 + RNiftyReg-2.6.8/RNiftyReg/README.md | 78 ++++++---- RNiftyReg-2.6.8/RNiftyReg/src/aladin.cpp | 4 RNiftyReg-2.6.8/RNiftyReg/src/f3d.cpp | 6 RNiftyReg-2.6.8/RNiftyReg/src/helpers.cpp | 4 RNiftyReg-2.6.8/RNiftyReg/tools/figures/house-1.png |only RNiftyReg-2.6.8/RNiftyReg/tools/figures/house-bw-1.png |only RNiftyReg-2.6.8/RNiftyReg/tools/figures/house-halfskewed-1.png |only RNiftyReg-2.6.8/RNiftyReg/tools/figures/house-reskewed-1.png |only RNiftyReg-2.6.8/RNiftyReg/tools/figures/house-skewed-1.png |only RNiftyReg-2.6.8/RNiftyReg/tools/figures/house-transformed1-1.png |only RNiftyReg-2.6.8/RNiftyReg/tools/figures/house-transformed2-1.png |only 20 files changed, 86 insertions(+), 49 deletions(-)
Title: Client for 'mapshaper' for 'Geospatial' Operations
Description: Edit and simplify 'geojson', 'Spatial', and 'sf'
objects. This is wrapper around the 'mapshaper' 'JavaScript' library
by Matthew Bloch <https://github.com/mbloch/mapshaper/> to perform
topologically-aware polygon simplification, as well as other
operations such as clipping, erasing, dissolving, and converting
'multi-part' to 'single-part' geometries. It relies on the
'geojsonio' package for working with 'geojson' objects, the 'sf'
package for working with 'sf' objects, and the 'sp' and 'rgdal'
packages for working with 'Spatial' objects.
Author: Andy Teucher [aut, cre],
Kenton Russell [aut] (JavaScript support),
Matthew Bloch [cph] (mapshaper Javascript library)
Maintainer: Andy Teucher <andy.teucher@gmail.com>
Diff between rmapshaper versions 0.4.3 dated 2020-01-28 and 0.4.4 dated 2020-04-01
DESCRIPTION | 11 ++++++----- MD5 | 24 ++++++++++++------------ NEWS.md | 4 ++++ R/filter_fields.R | 2 +- R/utils.R | 10 +++++----- README.md | 7 ++++--- inst/doc/rmapshaper.html | 8 ++++---- tests/testthat/test-dissolve.R | 2 +- tests/testthat/test-filter_fields.R | 2 +- tests/testthat/test-innerlines.R | 2 +- tests/testthat/test-lines.R | 2 +- tests/testthat/test-utils.R | 13 ++++++------- tools/readme/unnamed-chunk-4-1.png |binary 13 files changed, 46 insertions(+), 41 deletions(-)
Title: Tools for Ion Selective Electrodes
Description: Characterisation and calibration of single or multiple Ion Selective Electrodes (ISEs);
activity estimation of experimental samples. Implements methods described in:
Dillingham, P.W., Radu, T., Diamond, D., Radu, A. and McGraw, C.M. (2012) <doi:10.1002/elan.201100510> and
Dillingham, P.W., Alsaedi, B.S.O. and McGraw, C.M. (2017) <doi:10.1109/ICSENS.2017.8233898>.
Author: Peter Dillingham [aut, cre],
Christina McGraw [ctb],
Aleksandar Radu [ctb],
Basim Alsaedi [ctb]
Maintainer: Peter Dillingham <peter.dillingham@otago.ac.nz>
Diff between ISEtools versions 3.1.1 dated 2019-01-08 and 3.1.1.1 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- build/vignette.rds |binary data/LeadStdAdd.rda |binary data/carbonate.rda |binary inst/doc/ISEtools.pdf |binary 6 files changed, 8 insertions(+), 8 deletions(-)
Title: Work with Hyperspectral Data, i.e. Spectra + Meta Information
(Spatial, Time, Concentration, ...)
Description: Comfortable ways to work with hyperspectral data sets.
I.e. spatially or time-resolved spectra, or spectra with any other kind
of information associated with each of the spectra. The spectra can be data
as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS,
etc. More generally, any data that is recorded over a discretized variable,
e.g. absorbance = f (wavelength), stored as a vector of absorbance values
for discrete wavelengths is suitable.
Author: Claudia Beleites [aut, cre, dtc],
Valter Sergo [aut],
Alois Bonifacio [ctb, dtc],
Marcel Dahms [ctb],
Björn Egert [ctb],
Simon Fuller [ctb],
Vilmantas Gegzna [ctb],
Rustam Guliev [ctb],
Bryan Hanson [ctb],
Michael Hermes [ctb],
Martin Kammer [dtc],
Roman Kiselev [ctb],
Sebastian Mellor [ctb]
Maintainer: Claudia Beleites <Claudia.Beleites@chemometrix.gmbh>
Diff between hyperSpec versions 0.99-20200213 dated 2020-02-14 and 0.99-20200213.1 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 24 ++++++++++++------------ R/sysdata.rda |binary build/vignette.rds |binary data/barbiturates.rda |binary data/flu.rda |binary data/laser.rda |binary data/paracetamol.rda |binary inst/doc/baseline.pdf |binary inst/doc/flu.pdf |binary inst/doc/hyperspec.pdf |binary inst/doc/laser.pdf |binary inst/doc/plotting.pdf |binary 13 files changed, 15 insertions(+), 15 deletions(-)
Title: High-Dimensional Undirected Graph Estimation
Description: Provides a general framework for
high-dimensional undirected graph estimation. It integrates
data preprocessing, neighborhood screening, graph estimation,
and model selection techniques into a pipeline. In
preprocessing stage, the nonparanormal(npn) transformation is
applied to help relax the normality assumption. In the graph
estimation stage, the graph structure is estimated by
Meinshausen-Buhlmann graph estimation or the graphical lasso,
and both methods can be further accelerated by the lossy
screening rule preselecting the neighborhood of each variable
by correlation thresholding. We target on high-dimensional data
analysis usually d >> n, and the computation is
memory-optimized using the sparse matrix output. We also
provide a computationally efficient approach, correlation
thresholding graph estimation. Three
regularization/thresholding parameter selection methods are
included in this package: (1)stability approach for
regularization selection (2) rotation information criterion (3)
extended Bayesian information criterion which is only available
for the graphical lasso.
Author: Haoming Jiang, Xinyu Fei, Han Liu, Kathryn Roeder, John Lafferty, Larry
Wasserman, Xingguo Li, and Tuo Zhao
Maintainer: Haoming Jiang <jianghm.ustc@gmail.com>
Diff between huge versions 1.3.4 dated 2019-10-28 and 1.3.4.1 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- build/vignette.rds |binary data/stockdata.rda |binary inst/doc/vignette.pdf |binary 5 files changed, 7 insertions(+), 7 deletions(-)
Title: Leland Wilkinson's Algorithm for Detecting Multidimensional
Outliers
Description: An implementation of an algorithm for outlier detection that can handle a) data with a mixed categorical and continuous variables, b) many columns of data, c) many rows of data, d) outliers that mask other outliers, and e) both unidimensional and multidimensional datasets. Unlike ad hoc methods found in many machine learning papers, HDoutliers is based on a distributional model that uses probabilities to determine outliers. See <https://www.cs.uic.edu/~wilkinson/Publications/outliers.pdf>.
Author: Chris Fraley [aut, cre],
Leland Wilkinson [ctb]
Maintainer: Chris Fraley <cfraley@tableau.com>
Diff between HDoutliers versions 1.0 dated 2018-02-11 and 1.0.1 dated 2020-04-01
DESCRIPTION | 6 +++--- MD5 | 8 ++++---- data/dots.rda |binary data/ex2D.rda |binary inst/doc/HDoutliers.pdf |binary 5 files changed, 7 insertions(+), 7 deletions(-)
Title: Fixed Rank Kriging
Description: Fixed Rank Kriging is a tool for spatial/spatio-temporal modelling
and prediction with large datasets. The approach, discussed in Cressie and
Johannesson (2008) <DOI:10.1111/j.1467-9868.2007.00633.x>, decomposes the field,
and hence the covariance function, using a fixed set of n basis functions,
where n is typically much smaller than the number of data points (or polygons) m.
The method naturally allows for non-stationary, anisotropic covariance functions
and the use of observations with varying support (with known error variance). The
projected field is a key building block of the Spatial Random Effects (SRE) model,
on which this package is based. The package FRK provides helper functions to model,
fit, and predict using an SRE with relative ease.
Author: Andrew Zammit-Mangion [aut, cre]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>
Diff between FRK versions 0.2.2 dated 2018-07-13 and 0.2.2.1 dated 2020-04-01
DESCRIPTION | 6 +- MD5 | 16 +++---- build/vignette.rds |binary data/AIRS_05_2003.rda |binary data/NOAA_df_1990.rda |binary data/isea3h.rda |binary data/worldmap.rda |binary inst/doc/FRK_intro.R | 108 ++++++++++++++++++++++++------------------------- inst/doc/FRK_intro.pdf |binary 9 files changed, 65 insertions(+), 65 deletions(-)