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gets (version 0.5)

coef.isat: Extraction functions for 'isat' objects

Description

Extraction functions for objects of class 'isat'

Usage

## S3 method for class 'isat':
coef(object, ...)
## S3 method for class 'isat':
fitted(object, ...)
## S3 method for class 'isat':
logLik(object, ...)
## S3 method for class 'isat':
plot(x, col=c("red","blue"), lty=c("solid","solid"),
  lwd=c(1,1), coef.path=TRUE, ...)
## S3 method for class 'isat':
print(x, ...)
## S3 method for class 'isat':
residuals(object, std=FALSE, ...)
## S3 method for class 'isat':
summary(object, ...)
## S3 method for class 'isat':
vcov(object, ...)

Arguments

object
an object of class 'isat'
x
an object of class 'isat'
std
logical. If FALSE (default), then the mean residuals are returned. If TRUE, then the standardised residuals are returned
col
colours of fitted (default=red) and actual (default=blue) lines
lty
types of fitted (default=solid) and actual (default=solid) lines
lwd
widths of fitted (default=1) and actual (default=1) lines
coef.path
logical. Only applicable if there are retained indicators after the application of isat
...
additional arguments

Value

  • coef:numeric vector containing parameter estimates
  • fitted:a zoo object with fitted values
  • logLik:a numeric, the log-likelihood (normal density)
  • plot:plot of the fitted values and the residuals
  • print:a print of the estimation results
  • residuals:a zoo object with the residuals
  • summary:a print of the items in the isat object
  • vcov:variance-covariance matrix

See Also

paths, terminals, coef.gets, getsm, arx

Examples

Run this code
##step indicator saturation:
set.seed(123)
y <- rnorm(30)
isatmod <- isat(y)

##print results:
print(isatmod)

##plot the fitted vs. actual values, and the residuals:
plot(isatmod)

##print the entries of object 'isatmod':
summary(isatmod)

##extract coefficients of the simplified (specific) model:
coef(isatmod)

##extract log-likelihood:
logLik(isatmod)

##extract variance-covariance matrix of simplified
##(specific) model:
vcov(isatmod)

##extract and plot the fitted values:
mfit <- fitted(isatmod)
plot(mfit)

##extract and plot (mean) residuals:
epshat <- residuals(isatmod)
plot(epshat)

##extract and plot standardised residuals:
zhat <- residuals(isatmod, std=TRUE)
plot(zhat)

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