ctsem (version 2.4.0)

ctStanDiscretePars: ctStanDiscretePars

Description

Calculate model implied regressions for a sequence of time intervals based on a continuous time model fit from ctStanFit, for specified subjects.

Usage

ctStanDiscretePars(ctstanfitobj, subjects = "all", times = seq(from = 0, to
  = 10, by = 0.1), quantiles = c(0.025, 0.5, 0.975), plot = FALSE, ...)

Arguments

ctstanfitobj

Continuous time model fit from ctStanFit

subjects

Either 'all', to take the average over all subjects, or a vector of integers denoting which subjects.

times

Numeric vector of positive values, discrete time parameters will be calculated for each.

quantiles

Which quantiles to return. If plotting, specify 3 quantiles, the 2nd will be plotted as a line with 1 and 3 as uncertainty bounds.

plot

Logical. If TRUE, plots output using ctStanDiscreteParsPlot instead of returning output.

...

additional plotting arguments to control ctStanDiscreteParsPlot

Examples

# NOT RUN {
ctStanDiscretePars(ctstantestfit,times=seq(.5,4,.1), 
plot=TRUE,indices='all')
# }