collinearity
#' @srrstatsNA {BS3.1} Implement pre-processing routines to diagnose perfect collinearity, and provide appropriate diagnostic messages or warnings
#' @srrstatsNA {BS3.2} Provide distinct routines for processing perfectly collinear data, potentially bypassing sampling algorithms
from what I can tell, both of these are not relevant to our package because we are not working with traditional covariates that may suffer from collinearity. draft response:
"Collinear data not expected - models use different timeseries of data related to infections, ascertainment rates, and delays."
collinearity
#' @srrstatsNA {BS3.1} Implement pre-processing routines to diagnose perfect collinearity, and provide appropriate diagnostic messages or warnings
#' @srrstatsNA {BS3.2} Provide distinct routines for processing perfectly collinear data, potentially bypassing sampling algorithms
from what I can tell, both of these are not relevant to our package because we are not working with traditional covariates that may suffer from collinearity. draft response:
"Collinear data not expected - models use different timeseries of data related to infections, ascertainment rates, and delays."