Title: Targeted Stable Balancing Weights Using Optimization
Description: Use optimization to estimate weights that balance covariates for binary, multinomial, and continuous treatments in the spirit of Zubizarreta (2015) <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified for each covariate. In addition, sampling weights can be estimated that allow a sample to generalize to a population specified with given target moments of covariates.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>
Diff between optweight versions 0.2.2 dated 2019-03-04 and 0.2.3 dated 2019-08-25
DESCRIPTION | 10 MD5 | 34 - NEWS.md | 62 +- R/SHARED.R | 999 ++++++++++++++++++++++++------------------- R/check_functions.R | 2 R/functions_for_processing.R | 8 R/optweight.R | 364 +++++++-------- R/optweight.fit.R | 324 ++++++++----- R/optweight.svy.fit.R | 18 R/summary.R | 6 README.md | 2 build/partial.rdb |binary man/check.targets.Rd | 4 man/check.tols.Rd | 4 man/optweight.Rd | 18 man/optweight.fit.Rd | 16 man/optweight.svy.Rd | 33 - man/optweight.svy.fit.Rd | 14 18 files changed, 1058 insertions(+), 860 deletions(-)
Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of
machine learning. Provides 'R6' objects for tasks, learners, resamplings,
and measures. The package is geared towards scalability and larger datasets
by supporting parallelization and out-of-memory data-backends like
databases. While 'mlr3' focuses on the core computational operations,
add-on packages provide additional functionality.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>),
Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>),
Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>),
Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>),
Giuseppe Casalicchio [ctb] (<https://orcid.org/0000-0001-5324-5966>),
Stefan Coors [ctb] (<https://orcid.org/0000-0002-7465-2146>),
Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>),
Martin Binder [aut]
Maintainer: Michel Lang <michellang@gmail.com>
Diff between mlr3 versions 0.1.1 dated 2019-07-25 and 0.1.2 dated 2019-08-25
mlr3-0.1.1/mlr3/R/Generator.R |only mlr3-0.1.1/mlr3/R/Generator2DNormals.R |only mlr3-0.1.1/mlr3/R/GeneratorFriedman1.R |only mlr3-0.1.1/mlr3/R/GeneratorSmiley.R |only mlr3-0.1.1/mlr3/R/GeneratorXor.R |only mlr3-0.1.1/mlr3/R/cast_from_dict.R |only mlr3-0.1.1/mlr3/R/expand_grid.R |only mlr3-0.1.1/mlr3/R/mlr_control.R |only mlr3-0.1.1/mlr3/R/mlr_generators.R |only mlr3-0.1.1/mlr3/inst/trigger-mlr3book.sh |only mlr3-0.1.1/mlr3/man/Generator.Rd |only mlr3-0.1.1/mlr3/man/Generator2DNormals.Rd |only mlr3-0.1.1/mlr3/man/GeneratorFriedman1.Rd |only mlr3-0.1.1/mlr3/man/GeneratorSmiley.Rd |only mlr3-0.1.1/mlr3/man/GeneratorXor.Rd |only mlr3-0.1.1/mlr3/man/cast_from_dict.Rd |only mlr3-0.1.1/mlr3/man/expand_grid.Rd |only mlr3-0.1.1/mlr3/man/mlr_control.Rd |only mlr3-0.1.1/mlr3/man/mlr_generators.Rd |only mlr3-0.1.1/mlr3/tests/testthat/test_cast_from_dict.R |only mlr3-0.1.1/mlr3/tests/testthat/test_mlr_control.R |only mlr3-0.1.1/mlr3/tests/testthat/test_mlr_generators.R |only mlr3-0.1.2/mlr3/DESCRIPTION | 55 - mlr3-0.1.2/mlr3/MD5 | 393 +++++----- mlr3-0.1.2/mlr3/NAMESPACE | 57 + mlr3-0.1.2/mlr3/NEWS.md | 27 mlr3-0.1.2/mlr3/R/BenchmarkResult.R | 182 +++- mlr3-0.1.2/mlr3/R/DataBackend.R | 39 mlr3-0.1.2/mlr3/R/DataBackendCbind.R | 64 - mlr3-0.1.2/mlr3/R/DataBackendDataTable.R | 10 mlr3-0.1.2/mlr3/R/DataBackendMatrix.R | 7 mlr3-0.1.2/mlr3/R/DataBackendRbind.R | 82 -- mlr3-0.1.2/mlr3/R/DataBackendRename.R |only mlr3-0.1.2/mlr3/R/Learner.R | 84 +- mlr3-0.1.2/mlr3/R/LearnerClassif.R | 9 mlr3-0.1.2/mlr3/R/LearnerClassifDebug.R | 48 - mlr3-0.1.2/mlr3/R/LearnerClassifFeatureless.R | 15 mlr3-0.1.2/mlr3/R/LearnerClassifRpart.R | 13 mlr3-0.1.2/mlr3/R/LearnerRegr.R | 9 mlr3-0.1.2/mlr3/R/LearnerRegrFeatureless.R | 16 mlr3-0.1.2/mlr3/R/LearnerRegrRpart.R | 13 mlr3-0.1.2/mlr3/R/Measure.R | 6 mlr3-0.1.2/mlr3/R/MeasureClassif.R | 3 mlr3-0.1.2/mlr3/R/MeasureClassifACC.R | 9 mlr3-0.1.2/mlr3/R/MeasureClassifAUC.R | 9 mlr3-0.1.2/mlr3/R/MeasureClassifCE.R | 9 mlr3-0.1.2/mlr3/R/MeasureClassifConfusion.R | 61 + mlr3-0.1.2/mlr3/R/MeasureClassifCosts.R | 30 mlr3-0.1.2/mlr3/R/MeasureClassifF1.R | 9 mlr3-0.1.2/mlr3/R/MeasureElapsedTime.R | 43 - mlr3-0.1.2/mlr3/R/MeasureOOBError.R | 18 mlr3-0.1.2/mlr3/R/MeasureRegr.R | 3 mlr3-0.1.2/mlr3/R/MeasureRegrMAE.R | 9 mlr3-0.1.2/mlr3/R/MeasureRegrMSE.R | 9 mlr3-0.1.2/mlr3/R/MeasureRegrRMSE.R | 9 mlr3-0.1.2/mlr3/R/MeasureSelectedFeatures.R | 13 mlr3-0.1.2/mlr3/R/Prediction.R | 14 mlr3-0.1.2/mlr3/R/PredictionClassif.R | 17 mlr3-0.1.2/mlr3/R/PredictionRegr.R | 12 mlr3-0.1.2/mlr3/R/ResampleResult.R | 72 + mlr3-0.1.2/mlr3/R/Resampling.R | 12 mlr3-0.1.2/mlr3/R/ResamplingBootstrap.R | 24 mlr3-0.1.2/mlr3/R/ResamplingCV.R | 25 mlr3-0.1.2/mlr3/R/ResamplingCustom.R | 17 mlr3-0.1.2/mlr3/R/ResamplingHoldout.R | 23 mlr3-0.1.2/mlr3/R/ResamplingRepeatedCV.R | 22 mlr3-0.1.2/mlr3/R/ResamplingSubsampling.R | 24 mlr3-0.1.2/mlr3/R/Task.R | 61 - mlr3-0.1.2/mlr3/R/TaskClassif.R | 65 - mlr3-0.1.2/mlr3/R/TaskClassif_german_credit.R | 9 mlr3-0.1.2/mlr3/R/TaskClassif_iris.R | 5 mlr3-0.1.2/mlr3/R/TaskClassif_pima.R | 5 mlr3-0.1.2/mlr3/R/TaskClassif_sonar.R | 5 mlr3-0.1.2/mlr3/R/TaskClassif_spam.R | 5 mlr3-0.1.2/mlr3/R/TaskClassif_wine.R | 5 mlr3-0.1.2/mlr3/R/TaskClassif_zoo.R | 5 mlr3-0.1.2/mlr3/R/TaskGenerator.R |only mlr3-0.1.2/mlr3/R/TaskGenerator2DNormals.R |only mlr3-0.1.2/mlr3/R/TaskGeneratorFriedman1.R |only mlr3-0.1.2/mlr3/R/TaskGeneratorSmiley.R |only mlr3-0.1.2/mlr3/R/TaskGeneratorXor.R |only mlr3-0.1.2/mlr3/R/TaskRegr.R | 3 mlr3-0.1.2/mlr3/R/TaskRegr_boston_housing.R | 5 mlr3-0.1.2/mlr3/R/TaskRegr_mtcars.R | 5 mlr3-0.1.2/mlr3/R/TaskSupervised.R | 2 mlr3-0.1.2/mlr3/R/Task_mutators.R | 31 mlr3-0.1.2/mlr3/R/assertions.R | 286 +++---- mlr3-0.1.2/mlr3/R/benchmark.R | 51 - mlr3-0.1.2/mlr3/R/benchmark_grid.R |only mlr3-0.1.2/mlr3/R/default_measures.R |only mlr3-0.1.2/mlr3/R/deprecated.R |only mlr3-0.1.2/mlr3/R/hash_resample_result.R |only mlr3-0.1.2/mlr3/R/helper.R | 36 mlr3-0.1.2/mlr3/R/mlr_coercions.R |only mlr3-0.1.2/mlr3/R/mlr_learners.R | 36 mlr3-0.1.2/mlr3/R/mlr_measures.R | 13 mlr3-0.1.2/mlr3/R/mlr_reflections.R | 77 + mlr3-0.1.2/mlr3/R/mlr_resamplings.R | 26 mlr3-0.1.2/mlr3/R/mlr_sugar.R |only mlr3-0.1.2/mlr3/R/mlr_task_generators.R |only mlr3-0.1.2/mlr3/R/mlr_tasks.R | 16 mlr3-0.1.2/mlr3/R/resample.R | 48 - mlr3-0.1.2/mlr3/R/worker.R | 83 +- mlr3-0.1.2/mlr3/README.md | 202 +++-- mlr3-0.1.2/mlr3/build/partial.rdb |binary mlr3-0.1.2/mlr3/inst/testthat/helper_autotest.R | 20 mlr3-0.1.2/mlr3/inst/testthat/helper_expectations.R | 63 + mlr3-0.1.2/mlr3/man/BenchmarkResult.Rd | 75 - mlr3-0.1.2/mlr3/man/DataBackend.Rd | 29 mlr3-0.1.2/mlr3/man/Learner.Rd | 24 mlr3-0.1.2/mlr3/man/LearnerClassif.Rd | 8 mlr3-0.1.2/mlr3/man/LearnerClassifDebug.Rd | 35 mlr3-0.1.2/mlr3/man/LearnerClassifFeatureless.Rd | 13 mlr3-0.1.2/mlr3/man/LearnerClassifRpart.Rd | 13 mlr3-0.1.2/mlr3/man/LearnerRegr.Rd | 8 mlr3-0.1.2/mlr3/man/LearnerRegrFeatureless.Rd | 13 mlr3-0.1.2/mlr3/man/LearnerRegrRpart.Rd | 13 mlr3-0.1.2/mlr3/man/MeasureClassif.Rd | 2 mlr3-0.1.2/mlr3/man/MeasureClassifACC.Rd | 13 mlr3-0.1.2/mlr3/man/MeasureClassifAUC.Rd | 13 mlr3-0.1.2/mlr3/man/MeasureClassifCE.Rd | 13 mlr3-0.1.2/mlr3/man/MeasureClassifConfusion.Rd | 56 + mlr3-0.1.2/mlr3/man/MeasureClassifCosts.Rd | 20 mlr3-0.1.2/mlr3/man/MeasureClassifF1.Rd | 13 mlr3-0.1.2/mlr3/man/MeasureElapsedTime.Rd | 26 mlr3-0.1.2/mlr3/man/MeasureOOBError.Rd | 18 mlr3-0.1.2/mlr3/man/MeasureRegr.Rd | 2 mlr3-0.1.2/mlr3/man/MeasureRegrMAE.Rd | 13 mlr3-0.1.2/mlr3/man/MeasureRegrMSE.Rd | 13 mlr3-0.1.2/mlr3/man/MeasureRegrRMSE.Rd | 13 mlr3-0.1.2/mlr3/man/MeasureSelectedFeatures.Rd | 18 mlr3-0.1.2/mlr3/man/Prediction.Rd | 6 mlr3-0.1.2/mlr3/man/PredictionClassif.Rd | 7 mlr3-0.1.2/mlr3/man/PredictionRegr.Rd | 5 mlr3-0.1.2/mlr3/man/ResampleResult.Rd | 27 mlr3-0.1.2/mlr3/man/Resampling.Rd | 10 mlr3-0.1.2/mlr3/man/ResamplingBootstrap.Rd | 22 mlr3-0.1.2/mlr3/man/ResamplingCV.Rd | 21 mlr3-0.1.2/mlr3/man/ResamplingCustom.Rd | 19 mlr3-0.1.2/mlr3/man/ResamplingHoldout.Rd | 21 mlr3-0.1.2/mlr3/man/ResamplingRepeatedCV.Rd | 20 mlr3-0.1.2/mlr3/man/ResamplingSubsampling.Rd | 22 mlr3-0.1.2/mlr3/man/Task.Rd | 33 mlr3-0.1.2/mlr3/man/TaskClassif.Rd | 12 mlr3-0.1.2/mlr3/man/TaskGenerator.Rd |only mlr3-0.1.2/mlr3/man/TaskGenerator2DNormals.Rd |only mlr3-0.1.2/mlr3/man/TaskGeneratorFriedman1.Rd |only mlr3-0.1.2/mlr3/man/TaskGeneratorSmiley.Rd |only mlr3-0.1.2/mlr3/man/TaskGeneratorXor.Rd |only mlr3-0.1.2/mlr3/man/TaskRegr.Rd | 2 mlr3-0.1.2/mlr3/man/TaskSupervised.Rd | 2 mlr3-0.1.2/mlr3/man/as_benchmark_result.Rd |only mlr3-0.1.2/mlr3/man/benchmark.Rd | 59 - mlr3-0.1.2/mlr3/man/benchmark_grid.Rd |only mlr3-0.1.2/mlr3/man/confusion_measures.Rd | 4 mlr3-0.1.2/mlr3/man/default_measures.Rd |only mlr3-0.1.2/mlr3/man/hash_resample_result.Rd |only mlr3-0.1.2/mlr3/man/mlr3-package.Rd | 1 mlr3-0.1.2/mlr3/man/mlr_assertions.Rd | 59 - mlr3-0.1.2/mlr3/man/mlr_coercions.Rd |only mlr3-0.1.2/mlr3/man/mlr_learners.Rd | 27 mlr3-0.1.2/mlr3/man/mlr_measures.Rd | 19 mlr3-0.1.2/mlr3/man/mlr_reflections.Rd | 39 mlr3-0.1.2/mlr3/man/mlr_resamplings.Rd | 18 mlr3-0.1.2/mlr3/man/mlr_sugar.Rd |only mlr3-0.1.2/mlr3/man/mlr_task_generators.Rd |only mlr3-0.1.2/mlr3/man/mlr_tasks.Rd | 24 mlr3-0.1.2/mlr3/man/mlr_tasks_boston_housing.Rd | 6 mlr3-0.1.2/mlr3/man/mlr_tasks_german_credit.Rd | 10 mlr3-0.1.2/mlr3/man/mlr_tasks_iris.Rd | 6 mlr3-0.1.2/mlr3/man/mlr_tasks_mtcars.Rd | 6 mlr3-0.1.2/mlr3/man/mlr_tasks_pima.Rd | 6 mlr3-0.1.2/mlr3/man/mlr_tasks_sonar.Rd | 6 mlr3-0.1.2/mlr3/man/mlr_tasks_spam.Rd | 6 mlr3-0.1.2/mlr3/man/mlr_tasks_wine.Rd | 6 mlr3-0.1.2/mlr3/man/mlr_tasks_zoo.Rd | 6 mlr3-0.1.2/mlr3/man/resample.Rd | 64 - mlr3-0.1.2/mlr3/tests/testthat.R | 10 mlr3-0.1.2/mlr3/tests/testthat/setup.R | 4 mlr3-0.1.2/mlr3/tests/testthat/test_DataBackend.R | 6 mlr3-0.1.2/mlr3/tests/testthat/test_DataBackendCbind.R | 37 mlr3-0.1.2/mlr3/tests/testthat/test_DataBackendRbind.R | 39 mlr3-0.1.2/mlr3/tests/testthat/test_DataBackendRename.R |only mlr3-0.1.2/mlr3/tests/testthat/test_Dictionary.R | 19 mlr3-0.1.2/mlr3/tests/testthat/test_Learner.R | 31 mlr3-0.1.2/mlr3/tests/testthat/test_Measure.R | 4 mlr3-0.1.2/mlr3/tests/testthat/test_MeasureClassif.R | 7 mlr3-0.1.2/mlr3/tests/testthat/test_MeasureRegr.R | 4 mlr3-0.1.2/mlr3/tests/testthat/test_PredictionClassif.R | 30 mlr3-0.1.2/mlr3/tests/testthat/test_PredictionRegr.R | 18 mlr3-0.1.2/mlr3/tests/testthat/test_Resampling.R | 9 mlr3-0.1.2/mlr3/tests/testthat/test_Task.R | 58 + mlr3-0.1.2/mlr3/tests/testthat/test_TaskClassif.R | 16 mlr3-0.1.2/mlr3/tests/testthat/test_TaskRegr.R | 4 mlr3-0.1.2/mlr3/tests/testthat/test_benchmark.R | 102 +- mlr3-0.1.2/mlr3/tests/testthat/test_encapsulate.R | 7 mlr3-0.1.2/mlr3/tests/testthat/test_errorhandling.R | 32 mlr3-0.1.2/mlr3/tests/testthat/test_fallback.R | 55 - mlr3-0.1.2/mlr3/tests/testthat/test_hashes.R | 8 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_learners.R | 10 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_learners_classif_debug.R | 26 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_learners_classif_featureless.R | 10 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_learners_classif_rpart.R | 7 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_learners_regr_featureless.R | 2 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_learners_regr_rpart.R | 7 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_measures.R | 13 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_measures_classif_auc.R | 7 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_measures_classif_costs.R | 12 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_measures_confusion.R | 6 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_measures_selected_features.R | 8 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_resampling_bootstrap.R | 8 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_resampling_custom.R | 2 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_resampling_cv.R | 8 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_resampling_holdout.R | 6 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_resampling_repeated_cv.R | 13 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_resampling_subsampling.R | 8 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_resamplings.R | 8 mlr3-0.1.2/mlr3/tests/testthat/test_mlr_task_generators.R |only mlr3-0.1.2/mlr3/tests/testthat/test_mlr_tasks.R | 3 mlr3-0.1.2/mlr3/tests/testthat/test_parallel.R | 12 mlr3-0.1.2/mlr3/tests/testthat/test_predict.R | 16 mlr3-0.1.2/mlr3/tests/testthat/test_resample.R | 98 +- 222 files changed, 2807 insertions(+), 1841 deletions(-)
Title: Regression and Classification Tools
Description: Tools for linear, nonlinear and nonparametric regression
and classification. Novel graphical methods for assessment
of parametric models using nonparametric methods. One
vs. All and All vs. All multiclass classification, optional
class probabilities adjustment. Nonparametric regression
(k-NN) for general dimension, local-linear option. Nonlinear
regression with Eickert-White method for dealing with
heteroscedasticity. Utilities for converting time series
to rectangular form. Utilities for conversion between
factors and indicator variables. Some code related to
"Statistical Regression and Classification: from Linear
Models to Machine Learning", N. Matloff, 2017, CRC,
ISBN 9781498710916.
Author: Norm Matloff
Maintainer: Norm Matloff <matloff@cs.ucdavis.edu>
Diff between regtools versions 1.0.1 dated 2016-11-07 and 1.1.0 dated 2019-08-25
regtools-1.0.1/regtools/R/Boosting.R |only regtools-1.0.1/regtools/data/prgeng.txt.gz |only regtools-1.0.1/regtools/vignettes/parvsnonpar.png |only regtools-1.0.1/regtools/vignettes/regtools.Rmd.save |only regtools-1.0.1/regtools/vignettes/regtools.Rnw.save |only regtools-1.0.1/regtools/vignettes/varvsmean.png |only regtools-1.0.1/regtools/vignettes/wagevsage.png |only regtools-1.1.0/regtools/DESCRIPTION | 29 - regtools-1.1.0/regtools/MD5 | 79 ++- regtools-1.1.0/regtools/NAMESPACE | 10 regtools-1.1.0/regtools/R/Misc.R |only regtools-1.1.0/regtools/R/MultiClass.R | 78 ++- regtools-1.1.0/regtools/R/Nonlin.R | 6 regtools-1.1.0/regtools/R/Nonpar.R | 131 +++-- regtools-1.1.0/regtools/R/TS.R |only regtools-1.1.0/regtools/R/onAttach.R |only regtools-1.1.0/regtools/README.md | 501 +++++++++++++------ regtools-1.1.0/regtools/build/vignette.rds |binary regtools-1.1.0/regtools/data/courseRecords.RData |only regtools-1.1.0/regtools/data/currency.txt.xz |only regtools-1.1.0/regtools/data/datalist | 11 regtools-1.1.0/regtools/data/day.RData |only regtools-1.1.0/regtools/data/english.RData |only regtools-1.1.0/regtools/data/mlb.txt.gz |only regtools-1.1.0/regtools/data/mlens.RData |only regtools-1.1.0/regtools/data/newadult.txt.gz |only regtools-1.1.0/regtools/data/oliveoils.txt.gz |only regtools-1.1.0/regtools/data/peDumms.RData |only regtools-1.1.0/regtools/data/peFactors.RData |only regtools-1.1.0/regtools/data/prgeng.RData |only regtools-1.1.0/regtools/data/prgeng.txt.bz2 |only regtools-1.1.0/regtools/data/quizDocs.RData |only regtools-1.1.0/regtools/inst/doc/regtools.Rmd | 512 ++++++++++++++------ regtools-1.1.0/regtools/inst/doc/regtools.html | 286 +++++++++-- regtools-1.1.0/regtools/inst/images |only regtools-1.1.0/regtools/inst/vn.save |only regtools-1.1.0/regtools/man/TS.Rd |only regtools-1.1.0/regtools/man/courseRecords.Rd |only regtools-1.1.0/regtools/man/currency.Rd |only regtools-1.1.0/regtools/man/day.Rd |only regtools-1.1.0/regtools/man/english.Rd |only regtools-1.1.0/regtools/man/factorsDummies.Rd |only regtools-1.1.0/regtools/man/knnest.Rd | 99 ++- regtools-1.1.0/regtools/man/ltrfreqs.Rd | 4 regtools-1.1.0/regtools/man/mlb.Rd |only regtools-1.1.0/regtools/man/mlens.Rd |only regtools-1.1.0/regtools/man/newadult.Rd |only regtools-1.1.0/regtools/man/nlshc.Rd | 2 regtools-1.1.0/regtools/man/oliveoils.Rd |only regtools-1.1.0/regtools/man/ovalogtrn.Rd | 68 ++ regtools-1.1.0/regtools/man/prgeng.Rd | 38 + regtools-1.1.0/regtools/man/quizDocs.Rd |only regtools-1.1.0/regtools/man/regtools-package.Rd |only regtools-1.1.0/regtools/man/unscale.Rd |only regtools-1.1.0/regtools/vignettes/ParVsNonpar.png |only regtools-1.1.0/regtools/vignettes/PrgengVar.png |only regtools-1.1.0/regtools/vignettes/regtools.Rmd | 512 ++++++++++++++------ 57 files changed, 1720 insertions(+), 646 deletions(-)
Title: Tables, Labels and Some Useful Functions from Spreadsheets and
'SPSS' Statistics
Description: Package computes and displays tables with support for 'SPSS'-style
labels, multiple and nested banners, weights, multiple-response variables
and significance testing. There are facilities for nice output of tables
in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods
for labelled variables add value labels support to base R functions and to
some functions from other packages. Additionally, the package brings
popular data transformation functions from 'SPSS' Statistics and 'Excel':
'RECODE', 'COUNT', 'COMPUTE', 'DO IF', 'COUNTIF', 'VLOOKUP' and etc.
These functions are very useful for data processing in marketing research
surveys. Package intended to help people to move data
processing from 'Excel' and 'SPSS' to R.
Author: Gregory Demin [aut, cre]
Maintainer: Gregory Demin <gdemin@gmail.com>
Diff between expss versions 0.9.0 dated 2019-07-01 and 0.9.1 dated 2019-08-25
DESCRIPTION | 6 MD5 | 174 ++--- NAMESPACE | 1 NEWS | 9 R/aaa_utils.R | 17 R/common_table_utils.R | 10 R/criteria_functions.R | 5 R/cro.R | 2 R/cro_fun.R | 4 R/custom_tables.R | 4 R/subtotal.R | 335 ++++----- R/weighted_stats.R | 2 build/vignette.rds |binary inst/doc/labels-support.html | 35 - inst/doc/tables-with-labels.R | 2 inst/doc/tables-with-labels.Rmd | 2 inst/doc/tables-with-labels.html | 51 - inst/doc/xlsx-export.html | 35 - man/net.Rd | 8 tests/testthat/rds/cro_fun_df2.rds |binary tests/testthat/rds/cro_fun_df_duplicated_names.rds |binary tests/testthat/rds/cro_fun_df_duplicated_names_weighted.rds |binary tests/testthat/rds/ctable37.rds |binary tests/testthat/rds/print_etable_2_caption.txt | 46 - tests/testthat/rds/print_etable_caption.txt | 46 - tests/testthat/rds/print_etable_caption_raw.txt | 38 - tests/testthat/rds/print_etable_commented_1.txt | 92 +- tests/testthat/rds/print_etable_commented_2.txt | 46 - tests/testthat/rds/print_etable_commented_3.txt | 92 +- tests/testthat/rds/print_etable_commented_caption_1.txt | 92 +- tests/testthat/rds/print_etable_rnotebook_caption.txt | 414 ++++++------ tests/testthat/rds/print_etable_zero_columns_commented.txt | 2 tests/testthat/rds/print_etable_zero_commented.txt | 2 tests/testthat/rds/print_etable_zero_rows_commented.txt | 12 tests/testthat/rds/print_intermediate_table.txt | 2 tests/testthat/rds/print_labelled1.txt | 52 - tests/testthat/rds/print_labelled2.txt | 54 - tests/testthat/rds/print_labelled3.txt | 54 - tests/testthat/rds/print_labelled4.txt | 112 +-- tests/testthat/rds/print_labelled5.txt | 6 tests/testthat/rds/str_labelled1.txt | 4 tests/testthat/rds/str_labelled2.txt | 6 tests/testthat/rds/str_labelled7.txt | 6 tests/testthat/rds/subtotal1.rds |binary tests/testthat/rds/subtotal10.rds |binary tests/testthat/rds/subtotal11.rds |binary tests/testthat/rds/subtotal12.rds |binary tests/testthat/rds/subtotal12a.rds |binary tests/testthat/rds/subtotal12b.rds |binary tests/testthat/rds/subtotal13.rds |binary tests/testthat/rds/subtotal14.rds |binary tests/testthat/rds/subtotal15.rds |binary tests/testthat/rds/subtotal16.rds |binary tests/testthat/rds/subtotal17.rds |binary tests/testthat/rds/subtotal18.rds |binary tests/testthat/rds/subtotal18a.rds |binary tests/testthat/rds/subtotal19.rds |binary tests/testthat/rds/subtotal2.rds |binary tests/testthat/rds/subtotal20.rds |binary tests/testthat/rds/subtotal21.rds |binary tests/testthat/rds/subtotal22.rds |binary tests/testthat/rds/subtotal23.rds |binary tests/testthat/rds/subtotal24.rds |binary tests/testthat/rds/subtotal25.rds |binary tests/testthat/rds/subtotal26.rds |binary tests/testthat/rds/subtotal27.rds |binary tests/testthat/rds/subtotal27a.rds |only tests/testthat/rds/subtotal27b.rds |only tests/testthat/rds/subtotal27c.rds |only tests/testthat/rds/subtotal27d.rds |only tests/testthat/rds/subtotal27e.rds |only tests/testthat/rds/subtotal28.rds |only tests/testthat/rds/subtotal29.rds |only tests/testthat/rds/subtotal3.rds |binary tests/testthat/rds/subtotal30.rds |only tests/testthat/rds/subtotal31.rds |only tests/testthat/rds/subtotal32.rds |only tests/testthat/rds/subtotal33.rds |only tests/testthat/rds/subtotal4.rds |binary tests/testthat/rds/subtotal5.rds |binary tests/testthat/rds/subtotal6.rds |binary tests/testthat/rds/subtotal7.rds |binary tests/testthat/rds/subtotal8.rds |binary tests/testthat/rds/subtotal8a.rds |only tests/testthat/rds/subtotal8b.rds |only tests/testthat/rds/subtotal8c.rds |only tests/testthat/rds/subtotal8d.rds |only tests/testthat/rds/subtotal8e.rds |only tests/testthat/rds/subtotal9.rds |binary tests/testthat/test_add_rows.R | 5 tests/testthat/test_fctr.R | 6 tests/testthat/test_labels.R | 2 tests/testthat/test_recode.R | 8 tests/testthat/test_subtotal.R | 202 +++++ tests/testthat/test_weighted_stats.R | 31 vignettes/tables-with-labels.Rmd | 2 96 files changed, 1155 insertions(+), 981 deletions(-)
Title: Spatial ARCH and GARCH Models (spGARCH)
Description: A collection of functions to deal with spatial and spatiotemporal autoregressive conditional heteroscedasticity (spatial ARCH and GARCH models) by Otto, Schmid, Garthoff (2018, Spatial Statistics) <arXiv:1609.00711>: simulation of spatial ARCH-type processes (spARCH, exponential spARCH, complex spARCH); quasi-maximum-likelihood estimation of the parameters of spARCH models and spatial autoregressive models with spARCH disturbances, diagnostic checks, visualizations.
Author: Philipp Otto [cre, aut] (<https://orcid.org/0000-0002-9796-6682>)
Maintainer: Philipp Otto <potto@europa-uni.de>
Diff between spGARCH versions 0.1.6 dated 2018-08-10 and 0.2.0 dated 2019-08-25
spGARCH-0.1.6/spGARCH/R/Other.R |only spGARCH-0.1.6/spGARCH/man/sim.spARCH.Rd |only spGARCH-0.2.0/spGARCH/DESCRIPTION | 10 - spGARCH-0.2.0/spGARCH/MD5 | 28 +- spGARCH-0.2.0/spGARCH/NAMESPACE | 4 spGARCH-0.2.0/spGARCH/R/Estimation.R | 14 - spGARCH-0.2.0/spGARCH/R/Simulations.R | 264 ++++++++++++++++++++++++++- spGARCH-0.2.0/spGARCH/R/zzz.R |only spGARCH-0.2.0/spGARCH/data |only spGARCH-0.2.0/spGARCH/inst/CITATION | 17 + spGARCH-0.2.0/spGARCH/man/plot.spARCH.Rd | 2 spGARCH-0.2.0/spGARCH/man/prostate_cancer.Rd |only spGARCH-0.2.0/spGARCH/man/qml.SARspARCH.Rd | 24 +- spGARCH-0.2.0/spGARCH/man/qml.spARCH.Rd | 24 +- spGARCH-0.2.0/spGARCH/man/spARCH_class.Rd |only spGARCH-0.2.0/spGARCH/man/spARCHsim.Rd |only spGARCH-0.2.0/spGARCH/man/spGARCH.Rd | 2 spGARCH-0.2.0/spGARCH/man/spGARCHsim.Rd |only spGARCH-0.2.0/spGARCH/man/summary.spARCH.Rd | 20 +- 19 files changed, 335 insertions(+), 74 deletions(-)
Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation and rendering of R markdown instructions for interpretative output.
Author: David W. Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>
Diff between lessR versions 3.8.8 dated 2019-08-01 and 3.8.9 dated 2019-08-25
DESCRIPTION | 8 +++---- MD5 | 47 ++++++++++++++++++++++--------------------- NAMESPACE | 2 - NEWS | 39 ++++++++++++++++++++++++++++++++++-- R/BarChart.R | 55 +++++++++++++++++++++++++++++++++++++++------------ R/Histogram.R | 44 +++++++++++++++++++--------------------- R/Plot.R | 22 ++++++++++---------- R/Read.R | 4 +-- R/Regression.R | 28 ++++++++++++++++++++----- R/Write.R | 5 ++-- R/bar.zlattice.R | 4 +-- R/bc.zmain.R | 7 +++--- R/getColors.R | 23 ++++++++++++++------- R/reg.z1anvBasic.R | 2 - R/reg.z1fitBasic.R | 2 - R/reg.z1modelBasic.R | 9 ++------ R/reg.zKfold.R |only R/to.R | 2 - R/zzz.R | 10 ++++----- man/BarChart.Rd | 3 ++ man/Histogram.Rd | 4 +-- man/Plot.Rd | 26 ++++++++++++------------ man/Regression.Rd | 11 +++++++--- man/Write.Rd | 5 +++- man/getColors.Rd | 26 ++++++++++++++---------- 25 files changed, 247 insertions(+), 141 deletions(-)
Title: Descriptive mAchine Learning EXplanations
Description: Machine Learning (ML) models are widely used and have various applications in classification
or regression. Models created with boosting, bagging, stacking or similar techniques are often
used due to their high performance, but such black-box models usually lack of interpretability.
DALEX package contains various explainers that help to understand the link between input variables and model output.
The single_variable() explainer extracts conditional response of a model as a function of a single selected variable.
It is a wrapper over packages 'pdp' (Greenwell 2017) <doi:10.32614/RJ-2017-016>,
'ALEPlot' (Apley 2018) <arXiv:1612.08468> and 'factorMerger' (Sitko and Biecek 2017) <arXiv:1709.04412>.
The single_prediction() explainer attributes parts of a model prediction to particular variables used in the model.
It is a wrapper over 'breakDown' package (Staniak and Biecek 2018) <doi:10.32614/RJ-2018-072>.
The variable_dropout() explainer calculates variable importance scores based on variable shuffling
(Fisher at al. 2018) <arXiv:1801.01489>.
All these explainers can be plotted with generic plot() function and compared across different models.
'DALEX' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>),
Szymon Maksymiuk [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Diff between DALEX versions 0.4.4 dated 2019-07-06 and 0.4.7 dated 2019-08-25
DALEX-0.4.4/DALEX/R/theme_mi2.R |only DALEX-0.4.4/DALEX/inst/extdata |only DALEX-0.4.4/DALEX/man/loss_cross_entropy.Rd |only DALEX-0.4.4/DALEX/man/theme_mi2.Rd |only DALEX-0.4.7/DALEX/DESCRIPTION | 18 DALEX-0.4.7/DALEX/MD5 | 106 +-- DALEX-0.4.7/DALEX/NAMESPACE | 124 +-- DALEX-0.4.7/DALEX/NEWS.md | 233 +++---- DALEX-0.4.7/DALEX/R/HR.R | 108 +-- DALEX-0.4.7/DALEX/R/explain.R | 309 +++++++-- DALEX-0.4.7/DALEX/R/feature_response.R | 351 +++++------ DALEX-0.4.7/DALEX/R/loss_functions.R | 48 + DALEX-0.4.7/DALEX/R/misc.R | 62 + DALEX-0.4.7/DALEX/R/model_performance.R | 145 ++-- DALEX-0.4.7/DALEX/R/plot_feature_response.R | 106 +-- DALEX-0.4.7/DALEX/R/plot_model_performance.R | 180 ++--- DALEX-0.4.7/DALEX/R/plot_prediction_breakdown.R | 249 ++++--- DALEX-0.4.7/DALEX/R/plot_variable_importance.R | 218 +++--- DALEX-0.4.7/DALEX/R/plot_variable_response.R | 201 +++--- DALEX-0.4.7/DALEX/R/predict_explainer.R | 54 - DALEX-0.4.7/DALEX/R/prediction_breakdown.R | 174 ++--- DALEX-0.4.7/DALEX/R/print_description.R |only DALEX-0.4.7/DALEX/R/print_explainer.R | 60 - DALEX-0.4.7/DALEX/R/theme_drwhy.R | 218 +++--- DALEX-0.4.7/DALEX/R/titanic.R | 93 +- DALEX-0.4.7/DALEX/R/variable_importance.R | 199 +++--- DALEX-0.4.7/DALEX/R/variable_response.R | 254 +++---- DALEX-0.4.7/DALEX/R/yhat.R | 315 ++++----- DALEX-0.4.7/DALEX/data/titanic_imputed.rda |only DALEX-0.4.7/DALEX/man/HR.Rd | 66 +- DALEX-0.4.7/DALEX/man/apartments.Rd | 58 - DALEX-0.4.7/DALEX/man/colors_drwhy.Rd | 58 - DALEX-0.4.7/DALEX/man/dragons.Rd | 64 +- DALEX-0.4.7/DALEX/man/explain.Rd | 154 ++-- DALEX-0.4.7/DALEX/man/feature_response.Rd | 157 ++-- DALEX-0.4.7/DALEX/man/install_dependencies.Rd | 32 - DALEX-0.4.7/DALEX/man/loss_functions.Rd |only DALEX-0.4.7/DALEX/man/model_performance.Rd | 85 +- DALEX-0.4.7/DALEX/man/plot.feature_response_explainer.Rd | 88 +- DALEX-0.4.7/DALEX/man/plot.model_performance_explainer.Rd | 120 +-- DALEX-0.4.7/DALEX/man/plot.prediction_breakdown_explainer.Rd | 161 ++--- DALEX-0.4.7/DALEX/man/plot.variable_importance_explainer.Rd | 154 ++-- DALEX-0.4.7/DALEX/man/plot.variable_response_explainer.Rd | 101 +-- DALEX-0.4.7/DALEX/man/predict.Rd | 66 +- DALEX-0.4.7/DALEX/man/prediction_breakdown.Rd | 148 ++-- DALEX-0.4.7/DALEX/man/print.description.Rd |only DALEX-0.4.7/DALEX/man/print.explainer.Rd | 62 - DALEX-0.4.7/DALEX/man/print.model_performance_explainer.Rd | 56 - DALEX-0.4.7/DALEX/man/theme_drwhy.Rd | 39 - DALEX-0.4.7/DALEX/man/titanic.Rd | 108 +-- DALEX-0.4.7/DALEX/man/variable_importance.Rd | 125 +-- DALEX-0.4.7/DALEX/man/variable_response.Rd | 145 ++-- DALEX-0.4.7/DALEX/man/yhat.Rd | 147 ++-- DALEX-0.4.7/DALEX/tests/testthat/helper-objects.R | 46 - DALEX-0.4.7/DALEX/tests/testthat/test_explain.R | 24 DALEX-0.4.7/DALEX/tests/testthat/test_loss_functions.R |only DALEX-0.4.7/DALEX/tests/testthat/test_model_performance.R | 14 DALEX-0.4.7/DALEX/tests/testthat/test_single_feature.R | 60 - 58 files changed, 3228 insertions(+), 2935 deletions(-)
Title: Average Bioequivalence with Expanding Limits (ABEL)
Description: Performs comparative bioavailability-calculations for the EMA's Average Bioequivalence
with Expanding Limits (ABEL). Implemented are 'Method A' and 'Method B', detection of outliers.
If the design allows, assessment of the empiric Type I Error and iteratively adjusting alpha to
control the consumer risk.
Average Bioequivalence (ABE) - optionally with tighter (EMA: NTIDs) or wider limits (GCC: Cmax) -
is implemented as well.
Author: Helmut Schütz [aut, cre] (<https://orcid.org/0000-0002-1167-7880>),
Michael Tomashevskiy [ctb],
Detlew Labes [ctb] (<https://orcid.org/0000-0003-2169-426X>)
Maintainer: Helmut Schütz <helmut.schuetz@bebac.at>
Diff between replicateBE versions 1.0.10 dated 2019-07-24 and 1.0.11 dated 2019-08-25
DESCRIPTION | 23 +-- MD5 | 24 +-- NEWS.md | 361 +++++++++++++++++-------------------------------- R/ABE.R | 4 R/get.data.R | 4 R/method.A.R | 6 R/method.B.R | 4 README.md | 322 ++++++++++++++++++++++++++++++++++--------- build/partial.rdb |binary inst/doc/vignette.html | 42 ++--- man/ABE.Rd | 5 man/method.A.Rd | 8 - man/method.B.Rd | 9 - 13 files changed, 444 insertions(+), 368 deletions(-)
Title: Read, Validate, Analyze, and Map Files in the General Transit
Feed Specification (GTFS)
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <http://gtfs.org/>.
Author: Flavio Poletti [aut],
Tom Buckley [aut, cre],
Danton Noriega-Goodwin [aut],
Mark Padgham [aut],
Angela Li [ctb],
Elaine McVey [ctb],
Charles Hans Thompson [ctb],
Michael Sumner [ctb],
Patrick Hausmann [ctb],
Bob Rudis [ctb],
Kearey Smith [ctb],
Dave Vautin [ctb],
Kyle Walker [ctb]
Maintainer: Tom Buckley <tom@tbuckl.com>
Diff between tidytransit versions 0.5.1 dated 2019-06-29 and 0.5.2 dated 2019-08-25
DESCRIPTION | 8 - MD5 | 12 - build/vignette.rds |binary inst/doc/frequency.html | 180 +++++++++++++------------ inst/doc/introduction.html | 97 ++++++++----- inst/doc/servicepatterns.html | 302 ++++++++++++++++++++++-------------------- inst/doc/timetable.html | 226 +++++++++++++++++-------------- 7 files changed, 452 insertions(+), 373 deletions(-)
Title: Phylogenetic Clustering (Phyloclustering)
Description: Phylogenetic clustering (phyloclustering) is an evolutionary
Continuous Time Markov Chain model-based approach to identify
population structure from molecular data without assuming
linkage equilibrium. The package phyclust (Chen 2011) provides a
convenient implementation of phyloclustering for DNA and SNP data,
capable of clustering individuals into subpopulations and identifying
molecular sequences representative of those subpopulations. It is
designed in C for performance, interfaced with R for visualization,
and incorporates other popular open source programs including
ms (Hudson 2002) <doi:10.1093/bioinformatics/18.2.337>,
seq-gen (Rambaut and Grassly 1997)
<doi:10.1093/bioinformatics/13.3.235>,
Hap-Clustering (Tzeng 2005) <doi:10.1002/gepi.20063> and
PAML baseml (Yang 1997, 2007) <doi:10.1093/bioinformatics/13.5.555>,
<doi:10.1093/molbev/msm088>,
for simulating data, additional analyses, and searching the best tree.
See the phyclust website for more information, documentations and
examples.
Author: Wei-Chen Chen [aut, cre],
Karin Dorman [aut]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>
Diff between phyclust versions 0.1-24 dated 2019-03-27 and 0.1-25 dated 2019-08-25
ChangeLog | 4 ++++ DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- src/msdir/ms.c | 2 +- src/seq-gen/model.c | 2 +- 5 files changed, 14 insertions(+), 10 deletions(-)
Title: R Client for 'kintone' API
Description: Retrieve data from 'kintone' (<https://www.kintone.com/>) via its API.
'kintone' is an enterprise application platform.
Author: Hiroaki Yutani [aut, cre]
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>
Diff between kntnr versions 0.4.1 dated 2017-08-23 and 0.4.2 dated 2019-08-25
DESCRIPTION | 21 +++++++++++---------- MD5 | 16 ++++++++-------- NEWS.md | 4 ++++ R/kntn_parse.R | 2 +- R/kntn_unnest.R | 36 ++++++++++++++++++++---------------- R/util.R | 2 +- man/kntn_record.Rd | 8 ++++---- tests/testthat/test-calc_ranges.R | 10 +++++----- tests/testthat/test-parse-field.R | 4 ++-- 9 files changed, 56 insertions(+), 47 deletions(-)