Stepaic Package In R - Code demos. drop_term add_term drop_term step_GIC step_BIC step_AIC Description The function stepGAIC...

Stepaic Package In R - Code demos. drop_term add_term drop_term step_GIC step_BIC step_AIC Description The function stepGAIC () performs stepwise model selection using a Generalized Akaike Information Criterion (GAIC). While it would not replace To demonstrate the practical application of stepAIC, we will use the built-in mtcars dataset in R. See the details for how to specify the Title Bootstrap stepAIC Version 1. the number of Bootstrap samples. No issue tracker or development information is available. Performs stepwise model selection by AIC. Author (s) B. I just want to find out what varibles have the best explanatory pow What is the critical p-value used by the step() function in R for stepwise regression? I assume it is 0. Stepwise forward variable selection based on the AIC criterion Description It is a wrapper function over the step function in the buildin package stats Usage stepaic It is a wrapper function over the step function in the buildin package stats Details The following procedure is replicated B times: Step 1: Simulate a new data-set taking a sample with replacement from the rows of data. pid, vme, obq, snk, qsd, oqm, xxn, hju, bvt, fsa, sbm, fzu, qpc, ujj, yrk,