Perform a Tobit half-life fit given the data. The function fits the data using maximum likelihood without any point selection or validation.

Perform a Tobit half-life fit given the data. The function fits the data using maximum likelihood without any point selection or validation.

Usage

fit_half_life_tobit(data, tlast, optim_control = list())

Arguments

data

The data to fit. Must have columns named "log_conc", "time", "log_lloq", and "mask_blq". log_conc for BLQ observations is not used (the likelihood uses log_lloq instead).

tlast

The time of last observed concentration above the lower limit of quantification.

optim_control

A list of control parameters passed to stats::optim().

Value

A data.frame with one row and columns named "lambda.z", "clast.pred", "lambda.z.time.first", "lambda.z.time.last", "lambda.z.n.points", "lambda.z.n.points_blq", "half.life", "span.ratio", "tobit_residual", and "adj_tobit_residual". Returns NA for all columns if stats::optim() does not converge, and emits a warning.

See also

pk.calc.half.life(), fit_half_life_tobit_LL()