CompetingRiskFrailty: Competing Risk Model with Frailties for Right Censored Survival
Data
The package offers a fitting of smooth varying coefficients
in a competing risks modelling of hazards as well as estimating of the frailties (or unobserved heterogenities)
for clustered observations. Nonparametric penalized spline (p-spline)
fitting of smooth covariates effects is proposed. As a spline basis truncated polynomial functions are chosen.
The frailties are also fitted (via the EM-algoritghm) in a flexible way using a penalizied mixture of gamma distributions.
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