confint.lsm: Confidence Intervals for `lsm` Objects

Description

Provides a confint method for lsm objects.

Usage

# S3 method for lsm
confint(object, parm, level = 0.95, ...)

Value

lsm returns an object of class "lsm".

An object of class "lsm" is a list containing at least the following components:

object: a lsm object
parm: calculate confidence intervals for the coefficients.
level: confidence levels
...: Additional arguments to be passed to methods.

Arguments

object: The type of prediction required. The default is on the scale of the linear predictors. The alternative response gives the predicted probabilities.
parm: calculate confidence intervals for the coefficients
level: It gives the desired confidence level for the confidence interval. For example, a default value is level = 0.95, which will generate a 95 The alternative response gives the predicted probabilities.
...: further arguments passed to or from other methods.

Author

Jorge Villalba Acevedo [cre, aut], (Universidad Tecnológica de Bolívar, Cartagena-Colombia).

Details

confint Method for lsm

The saturated model is characterized by the assumptions 1 and 2 presented in section 2.3 by Llinas (2006, ISSN:2389-8976).

References

[1] LLinás, H. J. (2006). Precisiones en la teoría de los modelos logísticos. Revista Colombiana de Estadística, 29(2), 239–265. https://revistas.unal.edu.co/index.php/estad/article/view/29310

[2] Hosmer, D.W., Lemeshow, S. and Sturdivant, R.X. (2013). Applied Logistic Regression, 3rd ed., New York: Wiley.

[3] Chambers, J. M. and Hastie, T. J. (1992). Statistical Models in S. Wadsworth & Brooks/Cole.

Examples

Run this code

 # datos <- lsm::icu
 # attach(datos)
 # modelo <- lsm(STA~AGE + as.factor(RACE), data=icu)
 # confint(modelo)

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