ISOpureS2.model_optimize.vv.vv_compute_loglikelihood: Compute loglikelihood relevant to vv for step 2
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 2.
Usage
1
ISOpureS2.model_optimize.vv.vv_compute_loglikelihood(ww, sum_log_theta, D)
Arguments
ww
log(vv-1), a Kx1 matrix
sum_log_theta
the column sums of log(theta), a 1xK matrix
D
the number of patients (a scalar)
Value
The negative of the loglikelihood relevant to optimizing 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 2.
Usage
1 | ISOpureS2.model_optimize.vv.vv_compute_loglikelihood(ww, sum_log_theta, D)
|
Arguments
ww |
log(vv-1), a Kx1 matrix |
sum_log_theta |
the column sums of log(theta), a 1xK matrix |
D |
the number of patients (a scalar) |
Value
The negative of the loglikelihood relevant to optimizing 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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