ISOpure.model_optimize.vv.vv_loglikelihood: Compute the loglikelihood relevant to vv for step 1
In ISOpureR: Deconvolution of Tumour Profiles
Description
Usage
Arguments
Value
Author(s)
Description
Computes the part of the loglikelihood function relevant to optimizing vv for step 1
Usage
1
ISOpure.model_optimize.vv.vv_loglikelihood(ww, sum_log_theta, DD)
Arguments
ww
log(vv-1), a Kx1 matrix
sum_log_theta
the column sums of log(theta), a 1xK matrix
DD
the number of patients (a scalar)
Value
The negative of the loglikelihood relevant to vv
Author(s)
Gerald Quon, Catalina Anghel, Francis Nguyen
ISOpureR documentation built on May 11, 2019, 1:02 a.m.
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Description Usage Arguments Value Author(s)
Description
Computes the part of the loglikelihood function relevant to optimizing vv for step 1
Usage
1 | ISOpure.model_optimize.vv.vv_loglikelihood(ww, sum_log_theta, DD)
|
Arguments
ww |
log(vv-1), a Kx1 matrix |
sum_log_theta |
the column sums of log(theta), a 1xK matrix |
DD |
the number of patients (a scalar) |
Value
The negative of the loglikelihood relevant to vv
Author(s)
Gerald Quon, Catalina Anghel, Francis Nguyen
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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