data: simulated data for demonstrating the features of BVCfit

In spinBayes: Semi-Parametric Gene-Environment Interaction via Bayesian Variable Selection

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)

spinBayes documentation built on May 29, 2024, 8:38 a.m.