Function to make a static glm fit
static_glm(formula, data, by, max_T, ..., id, family = "logit", model = F,
weights, risk_obj = NULL, speedglm = F, only_coef = FALSE, mf)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
arguments passed to glm or speedglm. If only_coef = TRUE then the arguments are passed to glm.control if glm is used
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
TRUE if speedglm should be used.
TRUE if only coefficients should be returned. This will only call the speedglm.wfit or glm.fit which will be faster.
model frame for regression. Needed when only_coef = TRUE
The returned list from the glm call or just coefficients depending on the value of only_coef
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