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Computes the survival distribution function \(S_0(t)=Pr(T_0>t)\).

Usage

S0(t, model, ...)

Arguments

t

Numeric vector of times (\(t \ge 0\)).

model

One of "uniform", "exponential", "gompertz", "makeham", "weibull".

...

Model parameters:

  • uniform: omega

  • exponential: lambda

  • gompertz: B, c

  • makeham: A, B, c

  • weibull: shape, scale

Value

Numeric vector of survival probabilities in \([0,1]\).

Details

Supported models (Chapter 5): uniform (de Moivre), exponential, Gompertz, Makeham, Weibull.