Helper function for the bootstrap results
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
)
named vector of parameters, that correspond to those used in 'GIA_fn'.
data frame with the following columns
dose_Adose A mg/mL
dose_Bdose B mg/mL
GIAGIA
estimated values of GIA (these will be used as the 'truth')
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.
value of alpha. Default is .05
function to calculate the GIA from dose_A and dose_B combinations and given set of parameters. Default is base_GIA
Function to calculate S. Default is calc_S_base
additional arguments to pass to GIA_fn
logical indicating whether we should print where we are in the process. Default is FALSE.
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