stls-class {truncSP}

Class "stls"

Description

Documentation on S4 class "stls".

Objects from the Class

Objects from the class are usually obtained by a call to the function stls.

Slots

call:

Object of class "call" the function call

coefficients:

Object of class "matrix" the estimated coefficients from fitting a model for truncated regression using the Quadratic Mode Estimator (QME)

startcoef:

Object of class "matrix" the starting coefficients used when fitting the model

value:

Object of class "numeric" the value of the objective function corresponding to coefficients

counts:

Object of class "integer" number of iterations until convergence

convergence:

Object of class "integer" indicating whether convergence was achieved

message:

Object of class "character" a character string giving any additional information returned by the optimizer

residuals:

Object of class "matrix" the residuals of the model

fitted.values:

Object of class "matrix" the fitted values

df.residual:

Object of class "integer" the residual degrees of freedom

covariance:

Object of class "matrix" the estimated covariance matrix

bootrepl:

Object of class "matrix" bootstrap replicates used to estimate the covariance matrix

Methods

coef

signature(object = "stls"): extracts the coefficients of the model fitted using stls

fitted

signature(object = "stls"): extracts the fitted values of the model fitted using stls

print

signature(x = "stls"): print method

residuals

signature(object = "stls"): extracts the residuals of the model fitted using stls

summary

signature(object = "stls"): summary method

vcov

signature(object = "stls"): extracts the covariance matrix of the model fitted using stls

Author(s)

Anita Lindmark and Maria Karlsson

See Also

Function stls and class "summary.stls"

Examples

showClass("stls")