static_glm(formula, data, by, max_T, id, family = "logit", model = F, weights, risk_obj = NULL, ...)data. This is important when variables are time varying"logit" or "exponential" for the static equivalent model of ddhazardTRUE if you want to save the design matrix used in glmget_risk_obj. Will be used to skip some computationsglmglm call
ddhazard fit. The method uses weights to ease the memory requirements. See get_survival_case_weigths_and_data for details on weights