Parametric Time-to-Event Analysis with Variable Incubation Phases

Documentation for package ‘incubate’ version 1.2.1

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as_percent	Format a number as percentage.
bsDataStep	Generate bootstrap distribution of model parameters to fitted incubate model.
coef.incubate_fit	Coefficients of a delay-model fit.
confint.incubate_fit	Confidence intervals for parameters of incubate-model fits.
DelayedExponential	Delayed Exponential Distribution
DelayedWeibull	Delayed Weibull Distribution
delay_fit	Fit optimal parameters according to the objective function (either MPSE or MLE0).
delay_model	Fit a delayed Exponential or Weibull model to one or two given sample(s).
dexp_delayed	Delayed Exponential Distribution
dweib_delayed	Delayed Weibull Distribution
estimRoundingError	Estimate rounding error based on given sample of metric values The idea is to check at which level of rounding the sample values do not change.
getDist	Get delay distribution function
getPars	Extract the parameters for the specified group.
objFunFactory	Factory method for objective function, either according to maximum product of spacings estimation ('MPSE') or according to standard maximum likelihood estimation ('MLE0').
pexp_delayed	Delayed Exponential Distribution
power_diff	Power simulation function for a two-group comparison of the delay parameter.
pweib_delayed	Delayed Weibull Distribution
qexp_delayed	Delayed Exponential Distribution
qweib_delayed	Delayed Weibull Distribution
rexp_delayed	Delayed Exponential Distribution
rweib_delayed	Delayed Weibull Distribution
stankovic	Survival of mice with glioma under different treatments.
test_diff	Test the difference for delay model parameter(s) between two uncorrelated groups, based on maximum product of spacings estimation (MPSE).
test_GOF	Goodness-of-fit (GOF) test statistic.
transform.incubate_fit	Transform observed data to unit interval
update.incubate_fit	Refit an 'incubate_fit'-object with specified optimization arguments. If more things need to be changed use 'delay_model'.