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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