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lsm()
When the values of the outcome variable Y are either 0 or 1, the function calculates the estimation of the log likelihood in the saturated model. This model is characterized by Llinas (2006, ISSN:2389-8976) in section 2.3 through the assumptions 1 and 2. If is dichotomous and the data are grouped in J populations, it is recommended to use the function because it works very well for all .
The saturated model is characterized by the assumptions 1 and 2 presented in section 2.3 by Llinas (2006, ISSN:2389-8976).
install.packages("lsm")
library(lsm)
Hosmer, D. (2013) page 3: Age and coranary Heart Disease (CHD) Status of 20 subjects:
library(lsm)
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 )
lsm(CHD ~ AGE , family=binomial, data)
## For more ease, use the following notation.
lsm(y~., data)
# Other case.
y <- c(1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1)
x1 <- c(2, 2, 2, 5, 5, 5, 5, 8, 8, 11, 11, 11)
data <- data.frame (y, x1)
ELAINYS <-lsm(y ~ x1, family=binomial, data)
summary(ELAINYS)
# Other case.
y <- as.factor(c(1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1))
x1 <- as.factor(c(2, 2, 2, 5, 5, 5, 5, 8, 8, 11, 11, 11))
data <- data.frame (y, x1)
ELAINYS1 <-lsm(y ~ x1, family=binomial, data)
confint(ELAINYS1)
[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.
Humberto Llinas Solano [aut], Universidad del Norte, Barranquilla-Colombia \ Omar Fabregas Cera [aut], Universidad del Norte, Barranquilla-Colombia \ Jorge Villalba Acevedo [cre, aut], Universidad Tecnológica de Bolívar, Cartagena-Colombia.
If you found any ERRORS or have SUGGESTIONS, please report them to my email. Thanks.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.