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Auxiliary function for miss.glm fitting. Typically only used internally by miss.glm.fit.
miss.glm
miss.glm.fit
miss.glm.control( maxruns = 500, tol_em = 1e-07, nmcmc = 2, tau = 1, k1 = 50, subsets = NA, seed = NA, print_iter = TRUE, var_cal = TRUE, ll_obs_cal = TRUE )
maximum number of iterations. The default is maxruns = 500.
the tolerance to stop SAEM. The default is tol_em = 1e-7.
the MCMC length. The default is nmcmc = 2.
rate \(\tau\) in the step size \((k-k_{1})^{-\tau}\). The default is tau = 1.
number of first iterations \(k_{1}\) in the step size \((k-k_{1})^{-\tau}\). The default is k1=50.
Index of selected covariates if any. The default is all the covariates.
an integer as a seed set for the random generator.
logical indicating if output should be produced for each iteration.
logical indicating if the variance of estimated parameters should be calculated.
logical indicating if the observed log-likelihood should be calculated.
A list with components named as the arguments.
# NOT RUN { ## For examples see example(miss.glm) # }
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