jbmase: jbmase()
In jabbamodel/JABBA: Just Another Bayesian Biomass Assessment
jbmase R Documentation
jbmase()
Description
Computes Mean Absolute Scaled Errors as a measure of prediction skill
Usage
jbmase(hc, naive.min = 0.1, index = NULL, residuals = FALSE, verbose = TRUE)
Arguments
hc
object list of hindcasts from hindcast_jabba() or jbhcxval()
naive.min
minimum MASE denominator (naive predictions) for MASE.adj (default = 0.1)
index
option to compute for specific indices (numeric & in order)
residuals
if TRUE, outputs individual prediction and naive residuals
verbose
if FALSE run silent
Value
hc containing estimates of key joint results from all hindcast run
jabbamodel/JABBA documentation built on Nov. 2, 2024, 12:50 p.m.
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| jbmase | R Documentation |
jbmase()
Description
Computes Mean Absolute Scaled Errors as a measure of prediction skill
Usage
jbmase(hc, naive.min = 0.1, index = NULL, residuals = FALSE, verbose = TRUE)
Arguments
hc |
object list of hindcasts from hindcast_jabba() or jbhcxval() |
naive.min |
minimum MASE denominator (naive predictions) for MASE.adj (default = 0.1) |
index |
option to compute for specific indices (numeric & in order) |
residuals |
if TRUE, outputs individual prediction and naive residuals |
verbose |
if FALSE run silent |
Value
hc containing estimates of key joint results from all hindcast run
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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