Description Usage Arguments Value
This function generates the outcomes using Gibbs sampling under the given treatment assignment and edge information.
1 2 3 4 5 6 7 8 9 10 11 | chaingibbs(
pars,
n.obs,
treatment,
covariates,
initprob = 0.5,
yvalues = c(0, 1),
Neighborind,
Neighborpar,
n.burn
)
|
pars |
a set of parameters |
n.obs |
the number of Gibbs samples. |
treatment |
a set of given treatment assignment of length |
covariates |
given confounder(s):
|
initprob |
an initial probability generating outcomes. Defaults to |
yvalues |
distinct binary values for outcomes. Defaults to |
Neighborind |
a list of matrix specifying edge information of which first column illustrates a type of variables (1:outcome, 2:treatment, 3~:confounders) and of which second column presents the index of those variable. |
Neighborpar |
index for parameters in the order of Neighborind. |
n.burn |
the number of burn-in sample in Gibbs sampling (≥ |
a [n.obs x m]
matrix each row of which consists of outcomes.
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