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C++ via
Rcpp for use inside large simulation loops.survfit_fast(): single-time-point Kaplan-Meier
estimator with Greenwood standard error and plain / log / log-log
confidence intervals. The C++ backend locates the evaluation cutoff via
binary search and accumulates the Kaplan-Meier product and Greenwood
variance sum in a single scan over event positions. Returns an object of
class "survfit_fast" with a print()
method.survdiff_fast(): log-rank test returning a one-sided
Z-score or a two-sided chi-square statistic. The C++ backend uses a
two-pointer merge scan over pooled sorted vectors, eliminating the rank
construction, tabulate(), and reverse cumulative sum
operations of the standard implementation. Returns an object of class
"survdiff_fast" with a print() method.coxph_fast(): closed-form hazard ratio estimator via
the Pike-Halley Estimator method with Wald confidence interval. The C++
backend performs group splitting, at-risk counting, and
per-distinct-event-time accumulation in a single pass. Returns an object
of class "coxph_fast" with a print()
method.simdata_fast(): clinical trial data simulator
supporting one- and two-group designs, piecewise uniform accrual, and
simple and piecewise exponential survival and dropout times. C++
backends handle piecewise sampling and two-group interleaving, and
random number generation uses dqrng.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.