likelihood_weighted: Calculate average likelihood over isomorphic trees
In skgallagher/TBornotTB: Analyze Tuberculosis Patients in Maryland
Description
Usage
Arguments
Value
View source: R/weighted-sampling.R
Description
Calculate average likelihood over isomorphic trees
Usage
1
likelihood_weighted(par, prev_par, n, x, B)
Arguments
par
parameters to optimize over. par[1] is beta_0 and par[2] is beta_1
prev_par
parameters to form the weights. 1 is beta_0 and 2 is beta_1
n
cluster size
x
number of positives in each cluster
B
number of samples for each
return_neg
logical. Default is TRUE, returns the negative log likelihood
Value
likelihood
skgallagher/TBornotTB documentation built on April 21, 2020, 1:19 p.m.
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Description Usage Arguments Value
View source: R/weighted-sampling.R
Description
Calculate average likelihood over isomorphic trees
Usage
1 | likelihood_weighted(par, prev_par, n, x, B)
|
Arguments
par |
parameters to optimize over. par[1] is beta_0 and par[2] is beta_1 |
prev_par |
parameters to form the weights. 1 is beta_0 and 2 is beta_1 |
n |
cluster size |
x |
number of positives in each cluster |
B |
number of samples for each |
return_neg |
logical. Default is TRUE, returns the negative log likelihood |
Value
likelihood
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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