R^2 and adjusted R^2 for linear models; McFadden pseudo-R^2,
deviance and Pearson chi-squared for logistic / Poisson; AIC,
BIC, log-likelihood, and the omnibus F-test for linear models.
Usage
compute_goodness_of_fit(
y,
y_hat,
X,
model_type = "linear",
log_likelihood = NULL
)
Arguments
- y
Response vector.
- y_hat
Fitted values.
- X
Design matrix.
- model_type
"linear", "logistic", "poisson".
- log_likelihood
Optional precomputed log-likelihood.
Value
A morie_goodness_of_fit list.