Description Usage Arguments Value
Find the approximate maximum likelihood estimate, and estimate the variance of the estimate
1 | optimize_glmm(lfun, p_beta, p_theta, prev_fit = NULL, verbose = 1L)
|
lfun |
the approximated loglikelihood function |
p_beta |
the number of covariates |
p_theta |
the number of random effects |
prev_fit |
a |
verbose |
controls how much detail to print out while fitting the model. For verbose = 0, print nothing. For verbose = 1 (the default), print output approximately once a second during model fitting. For verbose = 2, print out the parameter value and log-likelihood at every stage of optimization. |
A list, containing the parameter estimate and variance matrix
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