data {spinBayes}

simulated data for demonstrating the features of BVCfit

Description

Simulated gene expression data for demonstrating the features of BVCfit.

Usage

data("gExp")
data("gExp.new")
data("gExp.L")

Format

gExp consists of five components: X, Y, Z, E and clin. gExp.new contains the data of new observations (X.new, Y.new, Z.new, E.new and clin.new) which can be used for evaluating the prediction performance.

gExp.L contains larger datasets: X2, Y2, Z2, E2 and clin2

Details

the same true model is used for generating Y, Y.new and Y2

Y = \beta_{0}(Z)+\beta_{1}(Z)X_{1} + \beta_{2}(Z)X_{2} + 1.5X_{3} - X_{5} + 1.3E - 1.2 EX_{2}+1.3 EX_{4} - clin_{1} + 1.5 clin_{2} + \epsilon

where \epsilon\sim N(0,1), \beta_{0}=2\sin(0.2\pi*Z), \beta_{1}=2\exp(0.2Z-1) and \beta_{2}=-0.6Z(1-0.1Z)

See Also

BVCfit

Examples

data(gExp)
dim(X)

data(gExp.L)
dim(X)