R: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions

# Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions

## Documentation for package ‘MDgof’ version 1.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

bakshaev_rudzkis | Run Bakshaev and Rudzkis Test
case.studies | Create various case studies
case.studies.cont | Create various case studies for continuous data without parameter estimation
case.studies.cont.D5 | Create various case studies for continuous data in 5 dimensions without parameter estimation
case.studies.disc | Discretize 2D data from case studies
case.studies.est | Create various case studies with parameter estimation
check.functions | Sanity Checks
chi_cont_test | Chi-square test for 2D data
chi_disc_test | Chi-square test for discrete 2D data
chi_power | Power Estimation of Chi Square Tests
compute_M_for_dtaset | Compute M statistic for one dtaset
discretize | Bins continuous data
draw_case | Create plot for any case study
estimateEV | Estimate E and Var/n at Eval for given h, using MC from rnull
examples.mdgof.vignette | examples.mdgof.vignette
gauss_kernel_matrix | Find gaussian kernel pdf
gen.cop | Create copula objects
gen_eval | Find evaluation points
gof_power | Power estimation of goodness-of-fit tests.
gof_test | Tests for the multivariate goodness-of-fit problem
gof_test_adjusted_pvalue | Adjusted p values
grad_mat | Find gradient of log(f) for a matrix of points
hybrid.mdgof.vignette | hybrid.mdgof.vignette
hybrid_power | Power Estimation for the multivariate goodness-of-fit problem via twosample tests
hybrid_test | Tests for the multivariate goodness-of-fit problem via twosample tests
ksd | Find test statistic for Kernel Stein Discrepancy test
makeTSextra | Create list with needed info
newTS | Example for a new test
p2dC | Find probabilities from cdf for discrete data
power_studies_cont_D5_hybrid_results | power_studies_cont_D5_hybrid_results
power_studies_cont_D5_results | power_studies_cont_D5_results
power_studies_cont_est_results | power_studies_cont_est_results
power_studies_cont_hybrid_results | power_studies_cont_hybrid_results
power_studies_cont_nMC5_D5_hybrid_results | power_studies_cont_nMC5_D5_hybrid_results
power_studies_cont_nMC5_hybrid_results | power_studies_cont_nMC5_hybrid_results
power_studies_cont_results | power_studies_cont_results
power_studies_disc_est_results | power_studies_disc_est_results
power_studies_disc_hybrid_results | power_studies_disc_hybrid_results
power_studies_disc_nMC5_hybrid_results | power_studies_disc_nMC5_hybrid_results
power_studies_disc_results | power_studies_disc_results
RipleyK | Ripley's K function test
run.studies | Benchmarking for Multivariate Goodness-of-fit Tests
signif_digits | This function does some rounding to nice numbers
sq2rec | Rearrange 2D discrete data
timecheck | estimate run time function
TS_cont | Find test statistics for continuous data
TS_disc | Find test statistics for discrete data