A collection of algorithms and functions to aid statistical modeling. Includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.
copied from cf-post-staging / r-statmod| Label | Latest Version |
|---|---|
| main | 1.5.1 |
| cf201901 | 1.4.30 |
| cf202003 | 1.4.34 |
| gcc7 | 1.4.30 |
