ExtDist (version 0.7-2)

eDist: S3 methods for manipulating eDist objects.

Description

S3 methods for manipulating eDist objects

Usage

# S3 method for eDist
logLik(object, ...)
# S3 method for eDist
AIC(object, ..., k = 2)
AICc(object)
# S3 method for eDist
AICc(object, ...)
# S3 method for eDist
vcov(object, ..., corr = FALSE)
BIC(object)
# S3 method for eDist
BIC(object, ...)
MDL(object)
# S3 method for eDist
MDL(object, ...)
# S3 method for eDist
print(x, ...)
# S3 method for eDist
plot(x, ...)

Arguments

object,

x An object of class eDist, usually the output of a parameter estimation function.

...

Additional parameters

k

numeric, The penalty per parameter to be used; the default k = 2 is the classical AIC.

corr

logical; should vcov() return correlation matrix (instead of variance-covariance matrix).

x,

A list to be returned as class eDist.

plot

logical; if TRUE histogram, P-P and Q-Q plot of the distribution returned else only parameter estimation is returned.

Author

A. Jonathan R. Godfrey, Sarah Pirikahu, and Haizhen Wu.

References

Myung, I. (2000). The Importance of Complexity in Model Selection. Journal of mathematical psychology, 44(1), 190-204.

Examples

X <- rnorm(20)
est.par <- eNormal(X, method ="numerical.MLE")
logLik(est.par)
AIC(est.par)
AICc(est.par)
BIC(est.par)
MDL(est.par)
vcov(est.par)
vcov(est.par,corr=TRUE)
print(est.par)
plot(est.par)