Description Usage Arguments Details Value
View source: R/data.FDAimage.R
This function is used to generate the simulation examples for image-on-scalar regression.
1 2 | data.FDAimage(n, Z, ind.inside, sigma, rho = 0.5, iter = 2019,
lambda1 = 0.03, lambda2 = 0.006)
|
n |
The number of images.
|
Z |
The cooridinates of dimension |
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.
|
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.
Y |
The response images. |
X |
The covariates. |
Z |
The coordinates of the pixels/voxels. |
beta.true |
The true coefficient functions. |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.