Usage
bootscm.import(scm.folder = NULL, silent = FALSE, n.bs = NULL,
cov.recoding = NULL, group.by.cov=NULL, skip.par.est.import=FALSE,
dofv.forward = 3.84, dofv.backward = 6.64)
Arguments
scm.folder
The folder in which the PsN-generated bootscm data are.
silent
Don't output any progress report. Default is FALSE.
n.bs
The number of bootstraps performed. Defaults to 100.
cov.recoding
For categorical covariates that are recoded to
dichotomous covariates within the bootscm configuration file, a list
can be specified containing data frames for recoding. See the example
below for details.
group.by.cov
Group inclusion frequencies by covariate, instead
of calculating them per parameter-covariates relationship. Default
is NULL, which means that the user will be asked to make a choice.
skip.par.est.import
Skip the import of all parameter estimates
(in each final model in all scm's, as well as parameter estimates in
first step of each scm). These data are required to make plot that
show inclusion bias and correlation in parameter
estimates.
dofv.forward
dOFV value used in forward step of scm.
dofv.backward
dOFV value used in backward step of scm.