PI: Compute the prediction interval summary over time.
In Calvagone/campsis: Generic PK/PD Simulation Platform CAMPSIS
View source: R/results_processing.R
PI R Documentation
Compute the prediction interval summary over time.
Description
Compute the prediction interval summary over time.
Usage
PI(x, output, scenarios = NULL, level = 0.9, gather = TRUE)
Arguments
x
data frame
output
variable to show, character value
scenarios
scenarios, character vector, NULL is default
level
PI level, default is 0.9 (90% PI)
gather
FALSE: med, low & up columns, TRUE: metric column
Value
a summary table
Calvagone/campsis documentation built on Nov. 29, 2024, 10:01 p.m.
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View source: R/results_processing.R
| PI | R Documentation |
Compute the prediction interval summary over time.
Description
Compute the prediction interval summary over time.
Usage
PI(x, output, scenarios = NULL, level = 0.9, gather = TRUE)
Arguments
x |
data frame |
output |
variable to show, character value |
scenarios |
scenarios, character vector, NULL is default |
level |
PI level, default is 0.9 (90% PI) |
gather |
FALSE: med, low & up columns, TRUE: metric column |
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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