AIC.admb: Standard accessor functions for ADMB model fits

Description Usage Arguments Value Author(s) Examples

View source: R/admb-funs.R

Description

Extract standard information such as log-likelihood, AIC, coefficients, etc. from ADMB model fits

Usage

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## S3 method for class 'admb'
AIC(object, ..., k = 2)
## S3 method for class 'admb'
logLik(object, ...)
## S3 method for class 'admb'
deviance(object, ...)
## S3 method for class 'admb'
vcov(object, type=c("par","extra","all"),...)
## S3 method for class 'admb'
coef(object,type=c("par","extra","all"),...)
## S3 method for class 'admb'
stdEr(object,type=c("par","extra","all"),...)
## S3 method for class 'admb'
confint(object,parm, level=0.95, method="default", ...)
stdEr(object,...)

Arguments

object

an ADMB model fit (of class "admb")

k

penalty value for AIC fits

type

which type of parameters report. "par": parameters only; "extra": sdreport variables; "all": both

parm

(currently ignored: FIXME) select parameters

level

alpha level for confidence interval

method

(character): "default" or "quad", quadratic (Wald) intervals based on approximate standard errors; "profile", profile CIs (if profile was computed); "quantile", CIs based on quantiles of the MCMC-generated posterior density (if MCMC was computed); "HPDinterval", CIs based on highest posterior density (ditto)

...

other parameters (for S3 generic compatibility)

Value

Extracts appropriate values: numeric (scalar) for AIC, type logLik for logLik, numeric vector of coefficients, numeric variance-covariance matrix of parameter estimates

Author(s)

Ben Bolker

Examples

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  admbex <- system.file("doc","Reedfrog_runs.RData",package="R2admb")
  load(admbex)
  m1
  coef(m1)
  summary(m1)
  coef(summary(m1)) ## returns just z-table
  AIC(m1)
  vcov(m1)
  logLik(m1)
  deviance(m1)

R2admb documentation built on May 2, 2019, 5:19 p.m.