simulate_Q: Randomly generate a Q matrix within the identifying...
In oslerinhealth/rewind: Reconstructing Etiology with Binary Decomposition
Description
Usage
Arguments
Value
Examples
Description
This function initializes Q (if unknown) for MCMC sampling within identifiability
constraints
Usage
1
simulate_Q(M, L, p = 0.1)
Arguments
M
latent state dimension
L
dimension of the binary responses
p
Bernoulli probability of 1 in the Q matrix (except two diagonal matrices)
Value
a binary matrix of dimension M by L
Examples
1
simulate_Q(3,100)
oslerinhealth/rewind documentation built on May 26, 2021, 6:56 a.m.
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Description Usage Arguments Value Examples
Description
This function initializes Q (if unknown) for MCMC sampling within identifiability constraints
Usage
1 | simulate_Q(M, L, p = 0.1)
|
Arguments
M |
latent state dimension |
L |
dimension of the binary responses |
p |
Bernoulli probability of 1 in the Q matrix (except two diagonal matrices) |
Value
a binary matrix of dimension M by L
Examples
1 | simulate_Q(3,100)
|
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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