ais {FMsmsnReg} | R Documentation |
Australian institute of sport data
Description
Data on 102 male and 100 female athletes collected at the Australian Institute of Sport.
Format
This data frame contains the following columns:
- Sex
-
(0 = male or 1 = female)
- Ht
-
height (cm)
- Wt
-
weight (kg)
- LBM
-
lean body mass
- RCC
-
red cell count
- WCC
-
white cell count
- Hc
-
Hematocrit
- Hg
-
Hemoglobin
- Ferr
-
plasma ferritin concentration
- BMI
-
body mass index, weight/height^2
- SSF
-
sum of skin folds
- Bfat
-
Percent body fat
- Label
-
Case Labels
- Sport
-
Sport
References
S. Weisberg (2005). Applied Linear Regression, 3rd edition. New York: Wiley, Section 6.4
Examples
##Load the data
library(FMsmsnReg)
data(ais)
attach(ais)
#Set the response y and covariate x
x1 <- cbind(1,SSF,Ht)
y <- Bfat
##Fits a linear Regression Model with Finite Mixtures of Skew t
parST <- FMsmsnReg(y, x1, g=2, get.init = TRUE, criteria = TRUE,
group = FALSE,family = "Skew.t", error = 10^-4,
iter.max = 2000,obs.prob= FALSE, kmeans.param = NULL,show.converge=FALSE,cp=0.5)
##Fits a linear Regression Models with Finite Mixtures of Skew normal
parSN <- FMsmsnReg(y, x1, g=2, get.init = TRUE, criteria = TRUE,
group = FALSE,family = "Skew.normal", error = 10^-4,
iter.max = 5000,obs.prob= FALSE, kmeans.param = NULL,show.converge=FALSE,cp=0.5)
##Fits a linear Regression Models with Finite Mixtures of Skew Contaminated Normal
parCN <- FMsmsnReg(y, x1, g=2, get.init = TRUE, criteria = TRUE,
group = FALSE,family = "Skew.cn", error = 10^-4,
iter.max = 5000,obs.prob= FALSE, kmeans.param = NULL,show.converge=FALSE,cp=0.5)
[Package FMsmsnReg version 1.0 Index]