confint.lsm {lsm}

Confidence Intervals for lsm Objects

Description

Provides a confint method for lsm objects.

Usage

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

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.

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).

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.

Author(s)

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

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

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