Input variables

Source: R/input_variable.R

These building block declare input variables, i.e., variables that are defined in the dataset.

input_variable(name)

dataset(path, use_only_filename = FALSE)

Arguments

name

Variable name
path

Dataset path
use_only_filename

Whether to include the path of the file

Value

A building block of type 'input_variable'

Details

An input variable is defined in the dataset and is declared so that it can be used in the rest of the model definition. The function input_variable() declares a single variable whereas the dataset() function reads the header of the file provided and declares all variables found.

Examples

m <- model() +
    input_variable("dose") +
    prm_log_normal("emax") +
    prm_log_normal("ed50") +
    obs_additive(eff~emax*dose/(ed50+dose))
render(m)

#> $PROBLEM
#> $INPUT DOSE ID DV
#> $DATA data.csv IGNORE=@
#> $PRED
#> EMAX = THETA(1) * EXP(ETA(1))
#> ED50 = THETA(2) * EXP(ETA(2))
#> EFF = EMAX * DOSE/(ED50 + DOSE)
#> Y = EFF + EPS(1)
#> $ESTIMATION METHOD=COND MAXEVAL=999999 
#> $THETA (0, 1, Inf) ; POP_EMAX
#> $THETA (0, 1, Inf) ; POP_ED50
#> $OMEGA 0.1 ; IIV_EMAX
#> $OMEGA 0.1 ; IIV_ED50
#> $SIGMA 1; RUV_ADD