Description Usage Arguments Value Examples
Get parameter estimates of the GLMM model to plug into modeling functions in BayesSenMC
for Bayesian inference of adjusted odds ratio.
1 | paramEst(model, lower = 0.5, upper = 1)
|
model |
a GLMM model built with the |
lower |
an optional argument matching the lower bound assumption of Se and Sp of the input |
upper |
an optional argument matching the upper bound assumption of Se and Sp. Default to 1 as in |
It returns a list of parameter estimates which can be input into the Bayesian model functions in
BayesSenMC
. (m.lg.se, s.lg.se)
and (m.lg.sp, s.lg.sp)
are the logit prior distributions for Se and Sp.
se
and sp
are the corresponding mean values given the logit prior means. rho
is the correlation estimate between Se and
Sp. m.fisher
is the Fisher's mean of the correlation assume a Fisher's distribution.
1 2 3 4 |
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