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Calculates fitted and residual values for modeled outputs

Source: R/calc_fit_mod.R
calc_fit_mod.Rd

calc_fit_mod() takes antibody kinetic parameter estimates and calculates fitted and residual values. Fitted values correspond to the estimated assay value (ex. ELISA units etc.) at time since infection (TSI). Residual values are calculated as the difference between fitted and observed values.

Usage

calc_fit_mod(modeled_dat, original_data, strat = NA)

Arguments

modeled_dat

A data.frame of modeled antibody kinetic parameter values.

original_data

A data.frame of the original input dataset.

strat

A character string specifying the stratification variable name, or NA if no stratification is used.

Value

A data.frame attached as an attributes with the following values:

  • Subject = ID number specifying an individual

  • Iso_type = The modeled antigen_isotype

  • Stratification = The variable used to stratify the model ("None" when no stratification is used)

  • t = Time since infection

  • fitted = The fitted value calculated using model output parameters for a given t

  • residual = The residual value calculated as the difference between observed and fitted values for a given t

Rows from original_data whose stratification value is NA are retained in the output with NA fitted and residual values, since no posterior estimate is available for those (Subject, Iso_type, Stratification) tuples.