gofreg
Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression
Provides statistical methods to check if a parametric family of conditional density functions fits to some given dataset of covariates and response variables. Different test statistics can be used to determine the goodness-of-fit of the assumed model, see Andrews (1997) <doi:10.2307/2171880>, Bierens & Wang (2012) <doi:10.1017/S0266466611000168>, Dikta & Scheer (2021) <doi:10.1007/978-3-030-73480-0> and Kremling & Dikta (2024) <doi:10.48550/arXiv.2409.20262>. As proposed in these papers, the corresponding p-values are approximated using a parametric bootstrap method.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling source/ R- | gofreg_1.0.0.tar.gz |
410.8 KiB |
1.0.0 |
rolling linux/jammy R-4.5 | gofreg_1.0.0.tar.gz |
918.2 KiB |
1.0.0 |
rolling linux/noble R-4.5 | gofreg_1.0.0.tar.gz |
918.2 KiB |
1.0.0 |
latest source/ R- | gofreg_1.0.0.tar.gz |
410.8 KiB |
1.0.0 |
latest linux/jammy R-4.5 | gofreg_1.0.0.tar.gz |
918.2 KiB |
1.0.0 |
latest linux/noble R-4.5 | gofreg_1.0.0.tar.gz |
918.2 KiB |
1.0.0 |
2026-04-23 source/ R- | gofreg_1.0.0.tar.gz |
410.8 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | gofreg_1.0.0.zip |
917.0 KiB |
1.0.0 |
2025-04-20 source/ R- | gofreg_1.0.0.tar.gz |
410.8 KiB |