Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions
Overview
Provides multivariate goodness-of-fit testing with a common interface for several test statistics. Null models may be simple or include parameter estimation, with p-values obtained by parametric bootstrap simulation. The function gof_test_adjusted_pvalue() combines several tests and computes a p-value adjusted for simultaneous inference. The function gof_power() estimates test power. The functions hybrid_test() and hybrid_power() use Monte Carlo samples under the null together with two-sample procedures. The function run.studies() supports systematic power comparisons of user-supplied and included methods across case studies. See the included vignettes for method details and references.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-05-02
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- NOTE11 OK, 3 NOTE2026-04-22
- ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 64 (18 internal)
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 25%
- Documented parameters
- 95%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- MDgof-Case-Studies HTML
- MDgof-Examples HTML
- MDgof-hybrid HTML
- MDgof-Methods HTML
Downloads
Dependencies
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2026-02-12
- Total releases
- 6 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 31 KB / 13 files
- Download size
- 198 KB
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