log_pr_Qml_cond: Compute the full conditional probability of Q_ml given the...
In oslerinhealth/rewind: Reconstructing Etiology with Binary Decomposition
Description
Usage
Arguments
Value
Description
Function to compute this log full conditional density, which will be used
in update_Q
Usage
1
log_pr_Qml_cond(Yl, eta_star, Ql, thetal, psil)
Arguments
Yl
binary vector (e.g., observed values at dimension l)
eta_star
a matrix of latent state profiles, rows for clusters,
columns for M latent states
Ql
l-th column of the Q matrix
thetal, psil
true, false positive rate (both between 0 and 1)
Value
log conditional probability of Q_ml given other unknown parameters
oslerinhealth/rewind documentation built on May 26, 2021, 6:56 a.m.
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Description Usage Arguments Value
Description
Function to compute this log full conditional density, which will be used in update_Q
Usage
1 | log_pr_Qml_cond(Yl, eta_star, Ql, thetal, psil)
|
Arguments
Yl |
binary vector (e.g., observed values at dimension l) |
eta_star |
a matrix of latent state profiles, rows for clusters, columns for M latent states |
Ql |
l-th column of the Q matrix |
thetal, psil |
true, false positive rate (both between 0 and 1) |
Value
log conditional probability of Q_ml given other unknown parameters
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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