stls-class: Class "stls"

In truncSP: Semi-parametric estimators of truncated regression models

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")

truncSP documentation built on May 1, 2019, 8:46 p.m.