transform_E: Compute the exposure matrix from a TensorSignature model
In emauryg/STRAND_R: Structural TensoR ANalysis and Decomposition (STRAND)
View source: R/tensor_sig_estimate.R
Description
Compute the exposure matrix from a TensorSignature model
Usage
1
transform_E(mod_ts, Y, K, tau = 50, lr = 0.001, max_iter = 10000)
Arguments
mod_ts
TensorSignature model
Y
count tensor
K
number of clusters
tau
regularization parameter (default=50)
lr
learning rate (default=0.001)
max_iter
maximum number of iterations (default=1000)
emauryg/STRAND_R documentation built on Dec. 20, 2021, 4:22 a.m.
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View source: R/tensor_sig_estimate.R
Description
Compute the exposure matrix from a TensorSignature model
Usage
1 | transform_E(mod_ts, Y, K, tau = 50, lr = 0.001, max_iter = 10000)
|
Arguments
mod_ts |
TensorSignature model |
Y |
count tensor |
K |
number of clusters |
tau |
regularization parameter (default=50) |
lr |
learning rate (default=0.001) |
max_iter |
maximum number of iterations (default=1000) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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