BayesDissolution (version 0.2.1)

f2pbs: Calculation of a parametric bootstrap 100*level% confidence interval for the F2 parameter

Description

This function calculates a 100*level% confidence interval for the F2 parameter using a parametric bootstrap based on a two variance component model with means for Time x Group, i.e., Dissolution ~ Time x Group + (1|Tablet:Group).

Usage

f2pbs(
  dis_data,
  level = 0.9,
  B = 1000,
  ci.type = c("quantile", "HPD"),
  get.dist = FALSE
)

Value

The function returns a 100*level% confidence interval for the F2 parameter calculated from the observed dissolution data.

Arguments

dis_data

A data frame containing the dissolution data. The first column of the data frame should denote the group labels identifying whether a given dissolution belongs to the "reference" or "test" formulation group. For a given dissolution run, the remaining columns of the data frame contains the individual run's dissolution measurements sorted in time. Alternatively, the user may provide a data object of class dis_data containing the dissolution data. See the make_dis_data() function for the particular structure of the data object.

level

The confidence level. A value between 0 and 1.

B

A positive integer specifying the number of bootstrap samples.

ci.type

The type of confidence interval to report. Specifying quantile returns a bootstrap confidence interval based on the sample quantiles. Specifying HPD returns a highest density region interval.

get.dist

logical; if TRUE, returns the posterior samples of the F2 distribution.

Examples

### dis_data comes loaded with the package
f2pbs(dis_data, level = 0.9, B = 1000)