Man pages for MDgof
Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions
| bakshaev_rudzkis | Run Bakshaev and Rudzkis Test |
| calcTS | This function calculates the test statistics for data |
| case.studies | Create various case studies |
| case.studies.cont | Create various case studies for continuous data without... |
| case.studies.cont.D5 | Create various case studies for continuous data in 5... |
| case.studies.disc | Discretize 2D data from case studies |
| case.studies.est | Create various case studies with parameter estimation |
| change.marginals | Change Marginals of 2D Data |
| 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 |
| FF | Find test statistic of Fasano–Franceschini test |
| 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 |
| grad_vec | Find gradient of log(f) |
| hybrid.mdgof.vignette | hybrid.mdgof.vignette |
| hybrid_power | Power Estimation for the multivariate goodness-of-fit problem... |
| hybrid_test | Tests for the multivariate goodness-of-fit problem via... |
| ksd | Find test statistic for Kernel Stein Discrepancy test |
| makeTSextra | Create list with needed info |
| mdecdf | Finds the empirical distribution function |
| newTS | Example for a new test |
| orderC | R function order(x,y) for Rcpp |
| p2dC | Find probabilities from cdf for discrete data |
| powerC | find power of gof tests for continuous data |
| power_pvals | Power estimation of tests that find p values |
| 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_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 |
| rosenblattC | This function performs a Rosenblatt transform |
| run.studies | Benchmarking for Multivariate Goodness-of-fit Tests |
| signif.digits | This function does some rounding to nice numbers |
| simpvals | Helper function to find p values of simulated data. |
| simTS | Helper function to find test statistics of simulated data. |
| sq2rec | Rearrange 2D discrete data |
| testC | run gof tests for continuous data |
| timecheck | estimate run time function |
| TS_cont | Find test statistics for continuous data |
| TS_disc | Find test statistics for discrete data |
