bodyfat: Percentage of body fat data set

Description Usage Format Author(s) Source References Examples

Description

The body fat percentage of individuals assisted in a public hospital in Curitiba, Paraná, Brazil.

Usage

1
data(bodyfat, package = "vasicekreg")

Format

A data-frame with 298 observations and 9 columns:

Author(s)

Josmar Mazucheli jmazucheli@gmail.com

Bruna Alves pg402900@uem.br

Source

http://www.leg.ufpr.br/doku.php/publications:papercompanions:multquasibeta

References

Mazucheli, J., Leiva, V., Alves, B., and Menezes A. F. B., (2021). A new quantile regression for modeling bounded data under a unit Birnbaum-Saunders distribution with applications in medicine and politics. Symmetry, 13(4) 1–21.

Petterle, R. R., Bonat, W. H., Scarpin, C. T., Jonasson, T., and Borba, V. Z. C., (2020). Multivariate quasi-beta regression models for continuous bounded data. The International Journal of Biostatistics, 1–15, (preprint).

Examples

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data(bodyfat, package = "vasicekreg")

bodyfat$BMI <- bodyfat$BMI / 100
bodyfat$SEX <- as.factor(bodyfat$SEX)
bodyfat$IPAQ<- as.factor(bodyfat$IPAQ)

library(gamlss)

# mean fit 
fitmean.logit <- gamlss(ARMS ~ AGE + BMI + SEX + IPAQ, 
data = bodyfat, family = VASIM(mu.link = "logit", sigma.link = "logit"))

fitmean.probit <- gamlss(ARMS ~ AGE + BMI + SEX + IPAQ, 
data = bodyfat, family = VASIM(mu.link = "probit", sigma.link = "logit"))

# quantile fit - tau = 0.5

tau <- 0.50
fitquant.logit <- gamlss(ARMS ~ AGE + BMI + SEX + IPAQ, data = bodyfat,
family = VASIQ(mu.link = "logit", sigma.link = "logit"))

fittaus <- lapply(c(0.10, 0.25, 0.50, 0.75, 0.90), function(Tau)
{
 tau <<- Tau; 
 gamlss(ARMS ~ AGE + BMI + SEX + IPAQ, data = bodyfat,
 family = VASIQ(mu.link = "logit", sigma.link = "logit"))
})

sapply(fittaus, summary, USE.NAMES = TRUE)

vasicekreg documentation built on May 28, 2021, 1:06 a.m.