truncSP (version 1.2.2)

summary.stls-class: Class "summary.stls"

Description

Documentation on S4 class "summary.stls"

Arguments

Objects from the Class

Objects from the class are usually obtained by a calling summary on an object of class "stls".

Slots

level:
Object of class "numeric" the level of confidence for confidence intervals
confint:
Object of class "matrix" confidence intervals for regression coefficients
bootconfint:
Object of class "matrix" bootstrap confidence intervals for regression coefficients
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

Extends

Class "stls", directly.

Methods

print
signature(x = "summary.stls"): print method

See Also

Function stls and class "stls"

Examples

Run this code
showClass("summary.stls")

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