loglike_obs_data: Calculate the log likelihood of a cluster conditioned on size...
In skgallagher/TBornotTB: Analyze Tuberculosis Patients in Maryland
Description
Usage
Arguments
Value
View source: R/loglike_faster.R
Description
Calculate the log likelihood of a cluster conditioned on size and smear pos. num
Usage
1
loglike_obs_data(par, data, sampled_trees_summary, return_neg = FALSE)
Arguments
par
vector where the first parameter is "beta_0" and the second is "beta_1"
data
data frame with columns
- n
number in cluster
- n_pos
number of positive smears in cluster
- freq
number of times this frequency occurs
sampled_trees_summary
data frame with the following columns
- i_pos
number of transmission from a smear positive person
- n_pos
number of positive smears
- n
cluster size
Value
log likelihood summed over the clusters
skgallagher/TBornotTB documentation built on April 21, 2020, 1:19 p.m.
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.
Description Usage Arguments Value
View source: R/loglike_faster.R
Description
Calculate the log likelihood of a cluster conditioned on size and smear pos. num
Usage
1 | loglike_obs_data(par, data, sampled_trees_summary, return_neg = FALSE)
|
Arguments
par |
vector where the first parameter is "beta_0" and the second is "beta_1" |
data |
data frame with columns
|
sampled_trees_summary |
data frame with the following columns
|
Value
log likelihood summed over the clusters
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.