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control.flexrsurv.additive <- function (epsilon = 1e-08, maxit = 25, trace = FALSE, ...){
# controls for flexrsurv additive models are glm.controls
return(glm.control(epsilon = epsilon, maxit = maxit, trace = trace))
}
control.flexrsurv.multiplicative <- function (epsilon = 1e-8, maxit = 100, trace = FALSE, epsilon.glm = 1e-1, maxit.glm=30, ...){
# controls for flexrsurv multiplicative models
# epsilon : positive convergence tolerance of the iterative alternative algorithm;
# the iterations converge when |loglik - loglik_old}/(|loglik| + 0.1) < epsilon.
# maxit : integer giving the maximal number of iteration of the iterative alternative algorithm.
# trace : logical indicating if output should be produced for each iteration.
# epsilon.glm, maxit.glm : contols passed to the inner glm call of the itertive alternative algorithm
if (!is.numeric(epsilon) || epsilon <= 0)
stop("'epsilon' must be > 0", call.=FALSE)
if (!is.numeric(epsilon.glm) || epsilon.glm <= 0)
stop("'epsilon.glm' must be > 0", call.=FALSE)
if (!is.numeric(maxit.glm) || maxit.glm <= 0)
stop("maximum number of iterations 'maxit.glm' must be > 0", call.=FALSE)
return(list(epsilon = epsilon, maxit = maxit, trace = trace, epsilon.glm = epsilon.glm, maxit.glm = maxit.glm))
}
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