R: mxPenaltyZap

mxPenaltyZap {OpenMx} | 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

[Package OpenMx version 2.20.6 Index]