compute_pi: Compute the prediction interval summary over time.
In campsis: Generic PK/PD Simulation Platform Campsis
compute_pi R Documentation
Compute the prediction interval summary over time.
Description
Compute the prediction interval summary over time.
Usage
compute_pi(x, variable, strata = get_default_strata(), level = 0.9)
Arguments
x
data frame
variable
variable(s) used to compute the prediction interval, character vector.
strata
named vector with the strata to use, default is c(SCENARIO="all", ARM="all").
level
PI level, default is 0.9 (90% PI)
Value
a summary table
campsis documentation built on Aug. 5, 2026, 9:07 a.m.
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| compute_pi | R Documentation |
Compute the prediction interval summary over time.
Description
Compute the prediction interval summary over time.
Usage
compute_pi(x, variable, strata = get_default_strata(), level = 0.9)
Arguments
x |
data frame |
variable |
variable(s) used to compute the prediction interval, character vector. |
strata |
named vector with the strata to use, default is c(SCENARIO="all", ARM="all"). |
level |
PI level, default is 0.9 (90% PI) |
Value
a summary table
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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