simulation_bin: Generate a symmetric binary tensor from the probability...
In SmoothTensor: A Collection of Smooth Tensor Estimation Methods
Description
Usage
Arguments
Value
References
Examples
Description
Generate a symmetric binary tensor from the probability tensor and permutation. Users can select one of 5 different smooth probability tensor generated from functions specified in Table 4 of the reference given below.
Usage
1
simulation_bin(d, mode = 1)
Arguments
d
Dimension of a tensor to be generated.
mode
An integer from 1 to 5 corresponding to models specified. Default model is 1.
Value
The returned object is a list of components.
signal - A true probability tensor generated from a function specified.
observe - A binary tensor generated by Bernoulli trials given the probability tensor and permutation.
permutation - A true permutation.
References
C. Lee and M. Wang. Smooth tensor estimation with unknown permutations. arXiv:2111.04681, 2021.
Examples
1
2
3
4
5
6
d = 20
# Generate 20 by 20 by 20 binary-valued tensor generated from model 1
sim1 = simulation_bin(d, mode = 1)
observed_tensor = sim1$observe
signal_tensor = sim1$signal
permutation = sim1$permutation
SmoothTensor documentation built on Nov. 16, 2021, 9:08 a.m.
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Description Usage Arguments Value References Examples
Description
Generate a symmetric binary tensor from the probability tensor and permutation. Users can select one of 5 different smooth probability tensor generated from functions specified in Table 4 of the reference given below.
Usage
1 | simulation_bin(d, mode = 1)
|
Arguments
d |
Dimension of a tensor to be generated. |
mode |
An integer from 1 to 5 corresponding to models specified. Default model is 1. |
Value
The returned object is a list of components.
signal - A true probability tensor generated from a function specified.
observe - A binary tensor generated by Bernoulli trials given the probability tensor and permutation.
permutation - A true permutation.
References
C. Lee and M. Wang. Smooth tensor estimation with unknown permutations. arXiv:2111.04681, 2021.
Examples
1 2 3 4 5 6 | d = 20
# Generate 20 by 20 by 20 binary-valued tensor generated from model 1
sim1 = simulation_bin(d, mode = 1)
observed_tensor = sim1$observe
signal_tensor = sim1$signal
permutation = sim1$permutation
|
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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