jbrunstest: JABBA runs test
In jabbamodel/JABBA: Just Another Bayesian Biomass Assessment
jbrunstest R Documentation
JABBA runs test
Description
Residual diagnostics with runs test p-value
Usage
jbrunstest(jabba, index = NULL, mixing = "less")
Arguments
jabba
output list from fit_jabba
index
option to plot specific indices (numeric & in order)
mixing
c("less","greater","two.sided"). Default "less" is checking for positive autocorrelation only
Examples
data(iccat)
bet= iccat$bet
jb = build_jabba(catch=bet$catch,cpue=bet$cpue,se=bet$se,assessment="BET",scenario = "Ref",model.type = "Pella",igamma = c(0.001,0.001),verbose=FALSE)
fit = fit_jabba(jb,quickmcmc=TRUE,verbose=FALSE)
jbrunstest(fit)
jbrunstest(fit,index=2)
jbplot_runstest(fit,verbose=FALSE)
jabbamodel/JABBA documentation built on Nov. 2, 2024, 12:50 p.m.
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.
| jbrunstest | R Documentation |
JABBA runs test
Description
Residual diagnostics with runs test p-value
Usage
jbrunstest(jabba, index = NULL, mixing = "less")
Arguments
jabba |
output list from fit_jabba |
index |
option to plot specific indices (numeric & in order) |
mixing |
c("less","greater","two.sided"). Default "less" is checking for positive autocorrelation only |
Examples
data(iccat)
bet= iccat$bet
jb = build_jabba(catch=bet$catch,cpue=bet$cpue,se=bet$se,assessment="BET",scenario = "Ref",model.type = "Pella",igamma = c(0.001,0.001),verbose=FALSE)
fit = fit_jabba(jb,quickmcmc=TRUE,verbose=FALSE)
jbrunstest(fit)
jbrunstest(fit,index=2)
jbplot_runstest(fit,verbose=FALSE)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.