boot_GIA: Helper function for the bootstrap results
In loewesadditivity: Loewe's Additivity

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
)

`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.

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

loewesadditivity documentation built on March 26, 2020, 8:14 p.m.