Description Usage Arguments References Examples
Computes different pseudo R^2 for betaboost models
1 | R2.betaboost(model, data, newdata = NULL)
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model |
A boosting model object for beta regression. |
data |
Underlying data frame |
newdata |
test-data (optional), if omitted R^2 is computed on |
Mayr A, Weinhold L, Hofner B, Titze S, Gefeller O, Schmid M (2018). The betaboost package - a software tool for modeling bounded outcome variables in potentially high-dimensional data. International Journal of Epidemiology, doi: 10.1093/ije/dyy093.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | # simple simulated example
require(gamlss.dist)
set.seed(1234)
x1 <- rnorm(100)
x2 <- rnorm(100)
x3 <- rnorm(100)
x4 <- rnorm(100)
y <- rBE(n = 100, mu = plogis(x1 +x2),
sigma = plogis(x3 + x4))
data <- data.frame(y ,x1, x2, x3, x4)
data <- data[!data$y%in%c(0,1),]
rm(x1,x2,x3,x4,y)
b1 <- betaboost(formula = y ~ x1 + x2,
phi.formula = y ~ x3 + x4,
data = data, form.type = "classic",
iterations = 120)
R2.betaboost(b1, data = data)
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