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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.