calcCIs: Compute confidence intervals
In wStockhausen/rPIBKC: Package to run the PIBKC stock assessment
calcCIs R Documentation
Compute confidence intervals
Description
Function to compute confidence intervals.
Usage
calcCIs(vals, cvs, pdfType = "lognormal", ci = 0.95, verbose = FALSE)
Arguments
vals
vector of values
cvs
vector of cvs
pdfType
probability distribution for error bars
ci
confidence interval for error bar plots
verbose
flag (T/F) to print intermediate output
Details
None.
Value
list with vectors lci, uci as named elements
wStockhausen/rPIBKC documentation built on April 25, 2023, 6:50 p.m.
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| calcCIs | R Documentation |
Compute confidence intervals
Description
Function to compute confidence intervals.
Usage
calcCIs(vals, cvs, pdfType = "lognormal", ci = 0.95, verbose = FALSE)
Arguments
vals |
|
cvs |
|
pdfType |
|
ci |
|
verbose |
|
Details
None.
Value
list with vectors lci, uci as named elements
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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