mclogit_control: Control Parameters for the Fitting Process
In mclogit: Mixed Conditional Logit Models
Description
Usage
Arguments
Value
Description
mclogit.control returns a list of default parameters
that control the fitting process of mclogit.
Usage
1
2
mclogit.control(epsilon = 1e-08,
maxit = 25, trace=TRUE)
Arguments
epsilon
positive convergence tolerance ε;
the iterations converge when
|dev - devold|/(|dev| + 0.1) < ε.
maxit
integer giving the maximal number of IWLS or PQL iterations.
trace
logical indicating if output should be produced for each
iteration.
Value
A list.
mclogit documentation built on May 2, 2019, 4:41 p.m.
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Description Usage Arguments Value
Description
mclogit.control returns a list of default parameters
that control the fitting process of mclogit.
Usage
1 2 | mclogit.control(epsilon = 1e-08,
maxit = 25, trace=TRUE)
|
Arguments
epsilon |
positive convergence tolerance ε; the iterations converge when |dev - devold|/(|dev| + 0.1) < ε. |
maxit |
integer giving the maximal number of IWLS or PQL iterations. |
trace |
logical indicating if output should be produced for each iteration. |
Value
A list.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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