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Four types of simulations are available:
SimType()
specification).
MonteCarlo()
specification).
MCMC()
specification). These
are Monte Carlo simulations in which the choice of a new parameter value
is influenced by the current value. They can be used to obtain the
Bayesian posterior distribution of the model parameters, given their
prior distributions (that you specify) and data for which a likelihood
function can be computed. The program handles hierarchical (random
effect) statistical models, such as population pharmacokinetic models
(see section 6.5 Specifying a statistical model).
SetPoints()
specification). You can create these parameter sets yourself or use the
output of a previous Monte Carlo or MCMC simulation.
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