underdisp
Diagnostics and Models for Underdispersed Count Data
Tools for detecting and modeling underdispersion in count data (conditional variance below the conditional mean), a phenomenon overlooked by the Poisson and negative binomial defaults. Provides a screening diagnostic that benchmarks at-risk dispersion against a zero-truncated Poisson; the continuous parameter binomial (CPB) regression and its zero-truncated variant, with an interpretable observation-specific bound and high-dimensional fixed-effects support; validated bootstrap (for coefficients) and profile-likelihood (for the dispersion parameter) inference; and quantities of interest including predicted probabilities and the implied ceiling. The likelihood is implemented in C++ for speed.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | underdisp_0.1.0.tar.gz |
675.3 KiB |
0.1.0 |
rolling linux/noble R-4.5 | underdisp_0.1.0.tar.gz |
677.2 KiB |
0.1.0 |
rolling source/ R- | underdisp_0.1.0.tar.gz |
195.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | underdisp_0.1.0.tar.gz |
675.3 KiB |
0.1.0 |
latest linux/noble R-4.5 | underdisp_0.1.0.tar.gz |
677.2 KiB |
0.1.0 |
latest source/ R- | underdisp_0.1.0.tar.gz |
195.1 KiB |
0.1.0 |
2026-04-23 source/ R- | underdisp_0.1.0.tar.gz |
0 B |