feglmControl {alpaca}  R Documentation 
Set feglm
Control Parameters
Description
Set and change parameters used for fitting feglm
.
Note: feglm.control
is deprecated and will be removed soon.
Usage
feglmControl(
dev.tol = 1e08,
center.tol = 1e08,
iter.max = 25L,
limit = 10L,
trace = FALSE,
drop.pc = TRUE,
keep.mx = TRUE,
conv.tol = NULL,
rho.tol = NULL,
pseudo.tol = NULL,
step.tol = NULL
)
feglm.control(...)
Arguments
dev.tol 
tolerance level for the first stopping condition of the maximization routine. The
stopping condition is based on the relative change of the deviance in iteration 
center.tol 
tolerance level for the stopping condition of the centering algorithm.
The stopping condition is based on the relative change of the centered variable similar to
felm. Default is 
iter.max 
unsigned integer indicating the maximum number of iterations in the maximization
routine. Default is 
limit 
unsigned integer indicating the maximum number of iterations of

trace 
logical indicating if output should be produced in each iteration. Default is 
drop.pc 
logical indicating to drop observations that are perfectly classified/separated and hence
do not contribute to the loglikelihood. This option is useful to reduce the computational costs of
the maximization problem and improves the numerical stability of the algorithm. Note that dropping
perfectly separated observations does not affect the estimates. Default is 
keep.mx 
logical indicating if the centered regressor matrix should be stored. The centered regressor
matrix is required for some covariance estimators, bias corrections, and average partial effects. This
option saves some computation time at the cost of memory. Default is 
conv.tol , rho.tol 
deprecated; stephalving is now similar to 
pseudo.tol 
deprecated; use 
step.tol 
deprecated; termination conditions is now similar to 
... 
arguments passed to the deprecated function 
Value
The function feglmControl
returns a named list of control
parameters.