Accuracy

Accuracy provides a measure of clinical suitability, defined by whether model predicted drug concentrations fall within an absolute OR relative error margin of the measured concentrations.

Usage

accuracy(obs, pred, error_abs = 0, error_rel = 0)

is_accurate(obs, pred, error_abs = 0, error_rel = 0)

is_accurate_abs(obs, pred, error_abs = 0)

is_accurate_rel(obs, pred, error_rel = 0)

Arguments

obs

Observations vector.

pred

Predictions vector.

error_abs, error_rel

Positive number providing an absolute or relative error margin. The cutoff is exclusive of the error margin. Defaults to 0, meaning no predictions fall within the error margin.

Value

For is_accurate(), is_accurate_abs(), and is_accurate_rel(): A logical vector indicating whether or not each predicted drug concentration was considered accurate according to the specified absolute or relative error margin(s).

For accuracy(): A single value between 0 and 1 indicating the proportion of predicted drug concentrations that fell within the specified absolute and relative error margins.

Examples

# Does the predicted drug concentration fall within 0.5 mg/L error margin?
is_accurate_abs(6, 5, error_abs = 0.5)
#> [1] FALSE

# Does the predicted drug concentration fall within 25% error margin?
is_accurate_rel(6, 5, error_rel = 0.25)
#> [1] TRUE

# Does the predicted drug concentration fall within 0.5 mg/L OR 25%?
is_accurate(6, 5, error_abs = 0.5, error_rel = 0.25)
#> [1] TRUE

# What proportion of predicted drug concentrations fell within 0.5 mg/L OR 25%?
accuracy(rnorm(10, 6), rnorm(10, 5), error_abs = 0.5, error_rel = 0.25)
#> [1] 0.5