summary.lsm {lsm} | R Documentation |
Summarizing Method for lsm
Objects
Description
Provides a summary
method for lsm
objects.
Usage
## S3 method for class 'lsm'
summary(object, ...)
Arguments
object |
An expression of the form y ~ model, where y is the outcome variable (binary or dichotomous: its values are 0 or 1). |
... |
further arguments passed to or from other methods. |
Details
summary 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
An object of class "lsm
" is a list containing at least the
following components:
object |
a |
... |
additional parameters |
Author(s)
Jorge Villalba Acevedo [cre, aut], Cartagena-Colombia.
References
[1] Humberto Jesus Llinas. (2006). Accuracies in the theory of the logistic models. Revista Colombiana De Estadistica,29(2), 242-244.
[2] Hosmer, D. (2013). Wiley Series in Probability and Statistics Ser. : Applied Logistic Regression (3). New York: John Wiley & Sons, Incorporated.
[3] Chambers, J. M. and Hastie, T. J. (1992) Statistical Models in S. Wadsworth & Brooks/Cole.
Examples
#Hosmer, D. (2013) page 3: Age and coranary Heart Disease (CHD) Status of 20 subjects:
#AGE <- c(20, 23, 24, 25, 25, 26, 26, 28, 28, 29, 30, 30, 30, 30, 30, 30, 30, 32, 33, 33)
#CHD <- c(0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0)
# data <- data.frame (CHD, AGE)
# Ela <- lsm(CHD ~ AGE, family = binomial, data)
# summary(Ela)