Initial CRAN release.
ertte_aft() (a parametric accelerated
failure time model built on survival::survreg(), supporting
exponential, Weibull, log-normal, and log-logistic distributions)
and ertte_coxph() (a semi-parametric proportional-hazards model
built on survival::coxph()).ertte_aft_select_distribution(), AIC-based selection across the
supported AFT base distributions.ertte_predict() and ertte_fun() for survival-probability
prediction and counterfactual curve evaluation without refitting,
for both engines.ertte_landmark() and ertte_rmst(), reducing a fitted survival
curve to a binary landmark response or a restricted mean survival
time, with confidence intervals.simulate.ertte_model(), drawing simulated event/censoring times
from a fitted model, with an optional per-row administrative
censor_time.ertte_scm_forward(),
ertte_scm_backward(), ertte_scm_history()), built on the
single-term ertte_add_term()/ertte_remove_term() helpers, with
a choice of "p-value", "aic", or "bic" selection criterion.ertte_power(), a power-function covariate transform usable as a
model term in either engine's formula or an SCM candidate set.er_predict()/er_simulate()/er_summary()/
er_predict_survival() methods, registered lazily so ertte has no
hard dependency on erplots or on any plotting package.ertte_data, simulated from a Weibull AFT
ground truth with an exposure and sex effect, administrative
censoring, and independent dropout censoring.