Predicts dQTC over range of concentration values with contrast. To help keep the predictions quick, the concentration values to predict at are done at on order of magnitude of concentration values, if max(conc) = 7340, then by = 100

Predicts dQTC over range of concentration values with contrast. To help keep the predictions quick, the concentration values to predict at are done at on order of magnitude of concentration values, if max(conc) = 7340, then by = 100

compute_exposure_predictions(
  data,
  fit,
  conc_col,
  treatment_predictors,
  control_predictors = NULL,
  cmaxes = NULL,
  conf_int = 0.9
)

Arguments

data

A data frame containing C-QT analysis dataset

fit

An nlme::lme model object from model fitting

conc_col

An unquoted column name for concentration measurements used to fit the model

treatment_predictors

List of a values for contrast. conc will update

control_predictors

List of b values for contrast

cmaxes

Vector of Cmax for each dose

conf_int

Numeric confidence interval level (default: 0.9)

Value

A data frame that contains median concentration, lower and upper bounds CI.

Examples

data_proc <- preprocess(cqtkit_data_verapamil)

fit <- nlme::lme(
   fixed = deltaQTCF ~ 1 + CONC,
   random = ~ 1 | ID,
   method = "REML",
   data = data_proc
)

compute_exposure_predictions(
  data_proc,
  fit,
  CONC,
  list(CONC = 10)
)
#> Error in eval(Call$data, env): object 'data_proc' not found