We recommend using dirichlet_multinomial_glm_anova instead, but this is here for comparison.
betaBinomialGLM( ys, ns, xFull, xNull, concShape = 1.0001, concRate = 1e-04, ... )
| ys | numerator counts | 
|---|---|
| ns | denominator counts | 
| xFull | matrix of covariates for full model. First column must be ones. | 
| xNull | matrix of covariates for null model. First column must be ones. | 
| concShape | Gamma shape parameter for concentration parameter | 
| concRate | Gamma rate parameter for concentration parameter | 
| ... | will be passed on the rstan::optimizing, so can be used for example to set the algorithm used (default is LBFGS). |