dataComb.pscCFM {psc} | R Documentation |
Function for cleaning the data of a model with class
Description
The purpose of this function is to prepare the dataset and the counter-factual model for estimation and is the first step pf the pscfit.R process. The output is a complete-case dataset where the data names match the variables used in the CFM.
Usage
## S3 method for class 'pscCFM'
dataComb(CFM, DC, id = NULL, trt = NULL, cfmOb = TRUE)
Arguments
CFM |
a model object supplied to pscfit |
DC |
a dataset including covariates to match the CFM |
id |
to specify which observations in the data cohort should be evaluated. Defualts to 'NULL' i.e all observations |
trt |
used to specify multiple treatment effects. Defaults to NULL |
cfmOb |
used to specify if a CFM object is supplies as the counter factual model |
Value
a list containing objects which specifiy the required exported components of the model and a cleaned data cohort. Attirbutes of the 'cleaned' object include: Attributes include
'model.type' specifying the class of model to be used as the CFM
'model_extract' sepcifying the model componets required for estimation
'cov' a cleaned dataset of covariates
'outcome' a cleaned dataset containing the outcomes