glmx.control

0th

Percentile

Control Parameters for GLMs with Extra Parameters

Various parameters that control fitting of generalized linear models with extra parameters using glmx.

Keywords
regression
Usage
glmx.control(profile = TRUE, nuisance = FALSE, start = NULL, xstart = NULL, hessian = TRUE, method = "BFGS",  epsilon = 1e-8, maxit = c(500, 25), trace = FALSE, reltol = .Machine\$double.eps^(1/1.2), ...)
Arguments
profile
logical. Should the extra parameters be optimized via profile likelihood (or via the full likelihood of all parameters)?
nuisance
logical. Should the extra parameters be treated as nuisance parameters (i.e., suppressed in subsequent output)?
start
an optional vector with starting values for the GLM coefficients.
xstart
an optional vector with starting values for the extra parameter(s). Must be supplied if there is more than one extra parameter.
hessian
logical or character. Should the hessian be computed to estimate the covariance matrix? If character, hessian can be either "none", "optim" or "numDeriv". The default is the hessian from optim but alternatively hessian from the numDeriv package can be used.
method
characters string specifying the method argument passed to optim.
epsilon
numeric convergance tolerance passed to glm.control.
maxit
integer specifying the maxit argument (maximal number of iterations) passed to optim and glm.control. Can also be a vector of length 2.
trace
logical or integer controlling whether tracing information on the progress of the optimization should be produced (passed to optim, and glm.control). Can also be a vector of length 2.
reltol, ...
arguments passed to optim.
Details

All parameters in glmx are estimated by maximum likelihood using optim with control options set in glmx.control. Either the parameters can be found by only optimizing over the extra parameters (and then using glm.fit to estimate the GLM coefficients), or alternatively all parameters can be optimized simultaneously. Covariances are derived numerically using the Hessian matrix returned by optim.

Value

A list with the arguments specified.

See Also

glmx

Aliases
• glmx.control
Documentation reproduced from package glmx, version 0.1-1, License: GPL-2 | GPL-3

Community examples

Looks like there are no examples yet.