tensorordinal (version 0.2.0)

estimation: Estimation of tensor entries from the cumulative model

Description

Estimate the ordinal-valued tensor entries given latent parameters and a type of estimations

Usage

estimation(theta,omega,type = c("mode","mean","median"))

Arguments

theta

a continuous-valued tensor (latent parameters)

omega

the cut-off points

type

type of estimations:

"mode" specifies argmax based label estimation

"mean" specifies mean based label estimation

"median" specifies median based label estimation

Value

an estimated ordinal tensor given latent parameters and a type of estimations

References

Lee, C., & Wang, M. (2020). Tensor denoising and completion based on ordinal observations. arXiv preprint arXiv:2002.06524.

Examples

# NOT RUN {
indices <- c(10,20,30)
arr <- array(runif(prod(indices),-2,2),dim = indices)
b <- c(-1.5,0,1.5)
r_predict <- estimation(arr,b,type = "mode");r_predict
# }