update_positive_rate: update true and false positive rates
In oslerinhealth/rewind: Reconstructing Etiology with Binary Decomposition
Description
Usage
Arguments
Value
Description
This function samples the true (theta) and false (psi) positive rates;
Constraint: theta[l]> 0.5 > psi[l]
Usage
1
update_positive_rate(Y, H, Q, a_theta, a_psi, old_theta_vec = NULL)
Arguments
Y
binary data matrix
H
a binary matrix: rows for all individuals, columns for latent states
Q
Q matrix
a_theta, a_psi
Beta hyperparameters for priors on theta and
psi, respectively. 2 by L matrices.
old_theta_vec
sampled theta parameters from the previous iteration (vector
of length L); to sample psi given the constraint
Value
a list of true theta and false psi positive rates, each of length L.
oslerinhealth/rewind documentation built on May 26, 2021, 6:56 a.m.
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Description Usage Arguments Value
Description
This function samples the true (theta) and false (psi) positive rates;
Constraint: theta[l]> 0.5 > psi[l]
Usage
1 | update_positive_rate(Y, H, Q, a_theta, a_psi, old_theta_vec = NULL)
|
Arguments
Y |
binary data matrix |
H |
a binary matrix: rows for all individuals, columns for latent states |
Q |
Q matrix |
a_theta, a_psi |
Beta hyperparameters for priors on |
old_theta_vec |
sampled |
Value
a list of true theta and false psi positive rates, each of length L.
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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