pd_lm.fit {proDA} | R Documentation |
If there is no location and variance moderation and no missing values, the model is fitted with 'lm'.
pd_lm.fit( y, X, dropout_curve_position, dropout_curve_scale, location_prior_mean = NULL, location_prior_scale = NULL, variance_prior_scale = NULL, variance_prior_df = NULL, location_prior_df = 3, method = c("analytic_hessian", "analytic_grad", "numeric"), verbose = FALSE )
a list with the following entries
a named vector with the fitted values
the estimated "size" of the data set (n_hat - variance_prior_df)
the estimated degrees of freedom (n_hat - p)
the estimated unbiased variance
the number of response values that were not 'NA'