Package: ddst 1.6.10

ddst: Data Driven Smooth Tests

Smooth tests are data driven (alternative hypothesis is dynamically selected based on data). In this package you will find two groups of smooth of test: goodness-of-fit tests and nonparametric tests for comparing distributions. Among goodness-of-fit tests there are tests for exponent, Gaussian, Gumbel and uniform distribution. Among nonparametric tests there are tests for stochastic dominance, k-sample test, test with umbrella alternatives and test for change-point problems.

Authors:Przemyslaw Biecek [aut, cre], Teresa Ledwina [aut], Grzegorz Wylupek [aut]

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NEWS

Peer review:

Bug tracker:https://github.com/pbiecek/ddst/issues

On CRAN:

data-drivensmooth-teststatisticstest

13 exports 6 stars 1.59 score 31 dependencies 2 dependents 7 scripts 253 downloads

Last updated 1 years agofrom:39506cfc0f. Checks:OK: 7. Indexed: yes.

Exports:ddst.againststochdom.testddst.evd.testddst.exp.testddst.forstochdom.testddst.ksample.testddst.normbounded.testddst.normubounded.testddst.normunbounded.biasddst.twosample.testddst.umbrellaknownp.testddst.umbrellaunknownp.testddst.uniform.testddst.upwardtrend.test

Dependencies:clicolorspaceevdfansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeorthopolynompillarpkgconfigpolynomR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr