Contains a data frame with subject-specific covariate data output from makeCov
Details
For each subject, makeCov extracts covariate information and Bayesian posterior parameter estimates. This output of this function is suitable for exploration of covariate- parameter, covariate-time, or parameter-time relationships.
Public fields
data
A data frame with the following columns
id Subject identification
time Times of covariate observations
covnames... Columns with each covariate observations in the dataset for each subject and
time
parnames... Columns with each parameter in the model and the
icen
summary for each subject, replicated as necessary for covariate observation times and duplicated for Bayesian parameter means and mediansicen The type of summarized Bayesian posterior individual parameter values: mean or median
Methods
Method new()
Create new object populated with covariate-parameter information
Usage
PM_cov$new(cov)
Arguments
cov
The parsed output from makeCov.
Method step()
Stepwise linear regression of covariates and Bayesian posterior parameter values
Arguments
...
Arguments passed to PMstep
Details
See PMstep.
Method summary()
Summary method
Arguments
...
Arguments passed to summary.PMcov
Details
See summary.PMcov.