loglike_all_clusts: Calculate the log likelihood for data
In skgallagher/TBornotTB: Analyze Tuberculosis Patients in Maryland
Description
Usage
Arguments
Value
Description
Calculate the log likelihood for data
Usage
1
loglike_all_clusts(par, n_vec, n_pos_vec, sampled_trees, return_neg = FALSE)
Arguments
par
vector of parameters "beta_0" and "beta_1"
sampled_trees
output from simulate_many_cond_bp where all n and n_pos are the same for each cluster
return_neg
If TRUE, return the negative log like.
n
number in cluster
n_pos
number of positive smears
Value
likelihood of 'average' of cluster with given n and n_pos (single number)
skgallagher/TBornotTB documentation built on April 21, 2020, 1:19 p.m.
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Description Usage Arguments Value
Description
Calculate the log likelihood for data
Usage
1 | loglike_all_clusts(par, n_vec, n_pos_vec, sampled_trees, return_neg = FALSE)
|
Arguments
par |
vector of parameters "beta_0" and "beta_1" |
sampled_trees |
output from |
return_neg |
If TRUE, return the negative log like. |
n |
number in cluster |
n_pos |
number of positive smears |
Value
likelihood of 'average' of cluster with given n and n_pos (single number)
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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