boot_GIA {loewesadditivity}

Helper function for the bootstrap results

Description

Helper function for the bootstrap results

Usage

boot_GIA(
  par,
  gia_df,
  gia_est,
  n_boot = 100,
  alpha = 0.05,
  GIA_fn = base_GIA,
  S_fn = calc_S_base,
  fn_list = NULL,
  verbose = FALSE
)

Arguments

par

named vector of parameters, that correspond to those used in 'GIA_fn'.

gia_df

data frame with the following columns

• dose_Adose A mg/mL

• dose_Bdose B mg/mL

• GIAGIA

gia_est

estimated values of GIA (these will be used as the 'truth')

n_boot

number of boot straps to use to estimate confidence intervals of the parameters, GIA estimates, and values of S. The default is 100. If n_boot = 0, then no bootstraps will be run and only the point estimates will be returned.

alpha

value of alpha. Default is .05

GIA_fn

function to calculate the GIA from dose_A and dose_B combinations and given set of parameters. Default is base_GIA

S_fn

Function to calculate S. Default is calc_S_base

fn_list

additional arguments to pass to GIA_fn

verbose

logical indicating whether we should print where we are in the process. Default is FALSE.

Value

a list with the following elements

• params_esta data frame of dimension # of params x 4 where each row in the data frame is a parameter and where the columns are the mean, lower, alpha/2 quantile,and upper,100 - alpha/2 quantile

• S_est a data frame of one row x 4 where we provide the mean, lower, and upper estimates

• GIA_estthe original data with additional columns of the mean, lower, and upper estimates for each dose combination