theta.control | R Documentation |
\theta
update algorithmThis function returns control arguments for the \theta
update algorithm.
Each argument has a default value, which will be used unless a different
value is provided by the user.
theta.control(
eps = 1e-10,
maxiter = 100,
maxhalf = 20,
maxtheta = 500,
logit = TRUE,
logsumexp = FALSE
)
eps |
Convergence threshold for theta updates. Convergence is
evaluated separately for each observation. An observation has converged when
the difference between |
maxiter |
Maximum number of iterations. |
maxhalf |
Maximum number of half steps allowed per iteration if the convergence criterion does not improve. |
maxtheta |
Absolute value of theta is not allowed to exceed |
logit |
Logical for whether logit transformation should be used. Use of this stabilizing transformation appears to be faster in general. Default is TRUE. |
logsumexp |
Logical argument for whether log-sum-exp trick should be used. This may improve numerical stability at the expense of computational time. |
Object of S3 class "thetaControl", which is a list of control arguments.
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