Stepwise covariate-parameter regressions

This function is largely superseded as it is accessed through the $step methods for PM_result and PM_cov objects. There is rarely a need to call it directly any longer.

Usage

PM_step(x, icen = "median", direction = "both")

Arguments

x: A PMcov object which is the $data field of a PM_cov object
icen: A character vector to summarize covariate values. Default is "median", but can also be "mean".
direction: The direction for covariate elmination can be "backward", "forward", or "both" (default).

Value

A matrix with covariates in the rows and parameters in the columns. Values for the matrix are the multi-variate P-values. A value of NA indicates that the variable was not retained in the final model.

Details

It will perform stepwise linear regressions on a PM_cov object. Every covariate in the model will be tested in a stepwise linear regression for their relationships to each parameter in the model. Bayesian posterior parameters and individual covariates are used.

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