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mclogit_control

Control Parameters for the Fitting Process


Description

mclogit.control returns a list of default parameters that control the fitting process of mclogit.

Usage

mclogit.control(epsilon = 1e-08,
                maxit = 25, trace=TRUE)
mmclogit.control(epsilon = 1e-08,
                 maxit = 25, trace=TRUE,
                 trace.inner=FALSE,
                 avoid.increase = FALSE,
                 break.on.increase = FALSE,
                 break.on.infinite = FALSE,
                 break.on.negative = FALSE)

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.

trace.inner

logical; indicating if output should be produced for each inner iteration of the PQL method.

avoid.increase

logical; should an increase of the deviance be avoided by step truncation?

break.on.increase

logical; should an increase of the deviance be avoided by stopping the algorithm?

break.on.infinite

logical; should an infinite deviance stop the algorithm instead of leading to step truncation?

break.on.negative

logical; should a negative deviance stop the algorithm?

Value

A list.


mclogit

Multinomial Logit Models, with or without Random Effects or Overdispersion

v0.8.7.3
GPL-2
Authors
Martin Elff
Initial release
2021-03-19

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