Usage
simulateConditional(formula, data, dens = hyper, nosim = 10^3, method = "bab", tdf = 3, maxiter = nosim, p = NULL, y.start = NULL)
simtable.bab(args, nosim = NULL, maxiter = NULL)
simtable.cab(args, nosim = NULL, p = NULL, y.start = NULL)
Arguments
formula
A formula for the log-linear model
dens
The target density on the log scale up to a constant of
proportionallity. A function of the form
function(y)
. Current default is (proportional to) the log of
the generalized hypergeometric density.
nosim
Desired number of simulations.
method
Possibly two values, the importance sampling method of
Booth and Butler, method = "bab"
or the MCMC approach of
Caffo and Booth method = "cab"
.
maxiter
For method = "bab"
number of iterations is
different from the number of simulations. maxiter
is a
bound on the total number of iterations.
p
A tuning parameter for method = "cab"
.
y.start
An optional starting value when method = "cab"
args
An object of class "bab" or "cab"