Compute expected measurements from fitted modelsSource:
This function computes expected measurements (corresponding to the fitted curves) for the specified times and features in all combinations of conditions and covariates (if they exist).
getExpectedMeas( fit, times, fitType = c("posterior_mean", "posterior_samples", "raw"), features = NULL, dopar = TRUE )
A 'limorhyde2' object.
Numeric vector of times, in units of
String indicating which fitted models to use to compute the expected measurements. A typical analysis using
limorhyde2will be based on 'posterior_mean', the default.
Vector of names, row numbers, or logical values for subsetting the features.
NULLindicates all features.
Logical indicating whether to run calculations in parallel if a parallel backend is already set up, e.g., using
doParallel::registerDoParallel(). Recommended to minimize runtime.