loglik_Chen_log_normal: Log-likelihood function for log-normal distribution with...
In EventPredInCure: Event Prediction Including Cured Population
View source: R/loglik_Chen_log_normal.R
loglik_Chen_log_normal R Documentation
Log-likelihood function for log-normal distribution with cured population
Description
Provide log-likelihood function for log-normal distribution with cured population
Usage
loglik_Chen_log_normal(par, df)
Arguments
par
a vector with three elements, where the first element denotes the logistic of the proportion
of the cured population, and the second element and the third element denote
the mean and the log of standard deviation parameter of the log-normal distribution.
df
The subject-level event data, including time
and event.
Value
The negative value of the log-likelihood function given parameter
par and the dataset df
References
Chen, Tai-Tsang. "Predicting analysis times in randomized clinical trials with cancer immunotherapy."
BMC medical research methodology 16.1 (2016): 1-10.
EventPredInCure documentation built on May 29, 2024, 11:04 a.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.
View source: R/loglik_Chen_log_normal.R
| loglik_Chen_log_normal | R Documentation |
Log-likelihood function for log-normal distribution with cured population
Description
Provide log-likelihood function for log-normal distribution with cured population
Usage
loglik_Chen_log_normal(par, df)
Arguments
par |
a vector with three elements, where the first element denotes the logistic of the proportion of the cured population, and the second element and the third element denote the mean and the log of standard deviation parameter of the log-normal distribution. |
df |
The subject-level event data, including |
Value
The negative value of the log-likelihood function given parameter
par and the dataset df
References
Chen, Tai-Tsang. "Predicting analysis times in randomized clinical trials with cancer immunotherapy." BMC medical research methodology 16.1 (2016): 1-10.
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.