Evaluates the statistical trade-off between model fit and parameter complexity
for single-cell generative models as benchmarked in scDesign3 (Song et al., Nat Biotechnol 2024).
Usage
calc_model_aic_bic(loglik, n_params, n_obs)
Arguments
- loglik
Numeric vector or scalar of log-likelihood values.
- n_params
Numeric vector or scalar of number of estimated parameters (degrees of freedom).
- n_obs
Total number of independent observations (cells or cell-gene pairs).
Value
A named vector or data.frame containing loglik, n_params, n_obs, AIC, and BIC.
Examples
calc_model_aic_bic(-100, 5, 100)
#> loglik n_params n_obs AIC BIC
#> -100.0000 5.0000 100.0000 210.0000 223.0259
