data: simulated data for demonstrating the features of BVCfit

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

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 = β_{0}(Z)+β_{1}(Z)X_{1} + β_{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} + ε

where ε\sim N(0,1), β_{0}=2\sin(2π*Z), β_{1}=2\exp(2Z-1) and β_{2}=-6Z(1-Z)

See Also

BVCfit

Examples

data(gExp)
dim(X)

data(gExp.L)
dim(X)

spinBayes documentation built on June 6, 2019, 5:02 p.m.