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
cvalues
:Object of class "data.frame"
containing information about the threshold values used
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