log_pr_Qml_cond_enum: Compute the full conditional probability of column Q_l given...
In oslerinhealth/rewind: Reconstructing Etiology with Binary Decomposition
Description
Usage
Arguments
Value
Description
Function to compute the log full conditional density for all patterns of the
l-th column of Q. This function is used in update_Q_col_block.
Usage
1
log_pr_Qml_cond_enum(Yl, eta_star, Ql_enumerate, thetal, psil)
Arguments
Yl
a column of the binary data matrix
eta_star
a matrix of machine usage indicators, rows for clusters, columns for M machines
Ql_enumerate
l-th column of the Q matrix
thetal, psil
True and false positive rates. Both are vectors of length L
Value
a vector of log conditional probability of column Q_l taking each of
2^nrow(Ql_enumerate) given other unknown parameters,
the dimension will be identical to 2^nrow(Ql_enumerate).
oslerinhealth/rewind documentation built on May 26, 2021, 6:56 a.m.
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Description Usage Arguments Value
Description
Function to compute the log full conditional density for all patterns of the l-th column of Q. This function is used in update_Q_col_block.
Usage
1 | log_pr_Qml_cond_enum(Yl, eta_star, Ql_enumerate, thetal, psil)
|
Arguments
Yl |
a column of the binary data matrix |
eta_star |
a matrix of machine usage indicators, rows for clusters, columns for M machines |
Ql_enumerate |
l-th column of the Q matrix |
thetal, psil |
True and false positive rates. Both are vectors of length L |
Value
a vector of log conditional probability of column Q_l taking each of
2^nrow(Ql_enumerate) given other unknown parameters,
the dimension will be identical to 2^nrow(Ql_enumerate).
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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