Function to make a static glm fit
static_glm(formula, data, by, max_T, id, family = "logit", model = F,
weights, risk_obj = NULL, ...)Data frame or environment containing the outcome and co-variates
Length of each intervals that cases are binned into
The end time of the last bin
The id for each row in data. This is important when variables are time varying
"logit" or "exponential" for the static equivalent model of ddhazard
TRUE if you want to save the design matrix used in glm
weights if a skewed sample or similar is used
A pre-computed result from a get_risk_obj. Will be used to skip some computations
arguments passed to glm
The returned list from the glm call
Method to fit a static model corresponding to a ddhazard fit. The method uses weights to ease the memory requirements. See get_survival_case_weights_and_data for details on weights