mxPenaltyZap: mxPenaltyZap
In OpenMx: Extended Structural Equation Modelling
mxPenaltyZap R Documentation
mxPenaltyZap
Description
Fix any free parameters within epsilon of zero to
zero. These parameters are no longer estimated. Remove all
MxPenalty objects from the model. This is envisioned to be
used after using mxPenaltySearch to locate the best penalty
hyperparameters and apply penalties to model estimation. While
penalties can simplify a model, they also bias parameters toward
zero. By re-estimating the model after using mxPenaltyZap,
parameters that remain free are likely to exhibit less bias.
Usage
mxPenaltyZap(model, silent = FALSE)
Arguments
model
an MxModel
silent
whether to suppress diagnostic output
OpenMx documentation built on Oct. 19, 2024, 9:06 a.m.
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| mxPenaltyZap | R Documentation |
mxPenaltyZap
Description
Fix any free parameters within epsilon of zero to
zero. These parameters are no longer estimated. Remove all
MxPenalty objects from the model. This is envisioned to be
used after using mxPenaltySearch to locate the best penalty
hyperparameters and apply penalties to model estimation. While
penalties can simplify a model, they also bias parameters toward
zero. By re-estimating the model after using mxPenaltyZap,
parameters that remain free are likely to exhibit less bias.
Usage
mxPenaltyZap(model, silent = FALSE)
Arguments
model |
an MxModel |
silent |
whether to suppress diagnostic output |
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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