| sim.tensor.cov {TULIP} | R Documentation | 
Simulate data
Description
Simulate a data set with tensor predictor and covariates.
Usage
  sim.tensor.cov(tesize = 100)
Arguments
| tesize | Number of observations in testing data. | 
Details
The function simulates a data set with 10\times 10\times 10 tensor and covariate being a two-dimensional vector. Response are binary.
Value
| x | Simulated tensor predictor. | 
| z | Simulated covariate. | 
| testx | Simulated testing tensor predictor. | 
| testz | Simualted testing covariate. | 
| vec_x | Vectorization of  | 
| vec_testx | Vectorization of  | 
| y | Response corresponding to  | 
| testy | Response corresponding to  | 
Author(s)
Yuqing Pan, Qing Mai, Xin Zhang
[Package TULIP version 1.0.2 Index]