Various parameters that control fitting of generalized linear models
with extra parameters using glmx
.
1 2 3 4 
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, 
method 
characters string specifying the 
epsilon 
numeric convergance tolerance passed to 
maxit 
integer specifying the 
trace 
logical or integer controlling whether tracing information on
the progress of the optimization should be produced (passed to

reltol, ... 
arguments passed to 
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
.
A list with the arguments specified.
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