data.FDAimage: Generating simulation examples

In funstatpackages/FDAimage: Multivariate Spline Estimation and Inference for Image-on-Scalar Regression

Description

This function is used to generate the simulation examples for image-on-scalar regression.

Usage

data.FDAimage(n, Z, ind.inside, sigma, rho = 0.5, iter = 2019,
  lambda1 = 0.03, lambda2 = 0.006)

Arguments

n	The number of images.
Z	The cooridinates of dimension npix by two. Each row is the coordinates of a pixel/voxel.
ind.inside	The indices of the pixels/voxels which are inside the boundary.
sigma	The level of white noise.
rho	The correlation used to generate the explanatory variales – default is 0.5.
iter	The seed used to generate the simulation examples – default is 2019.
lambda1&lambda2	The eigenvalues used to generate the simulation examples – default are 0.03 and 0.006, respectively.

Details

This R package is the implementation program for manuscript entitled "Multivariate Spline Estimation and Inference for Image-on-Scalar Regression" by Shan Yu, Guannan Wang, Li Wang and Lijian Yang.

Value

Y	The response images.
X	The covariates.
Z	The coordinates of the pixels/voxels.
beta.true	The true coefficient functions.

funstatpackages/FDAimage documentation built on Oct. 11, 2019, 12:50 p.m.