DOOR.rank: DOOR algorithm for ranking (Based on the algorithm of Evans...
In ziqiaow/MvTrend: Testing for Trend in Benefit-Risk Analysis with Prioritized Multiple Outcomes
Description
Usage
Arguments
Value
Description
The higher DOOR.rank, the better clinical outcome the patient has (based on benefits and harms)
Usage
1
Arguments
df
Dataset that contains all the variables that should be included for ranking and group label, class data.frame
var_order
Desired order of variables in dataset df
ties.method
By default, ties.method is average
Value
The rank based on DOOR algorithm based on multivariate clinical variables
ziqiaow/MvTrend documentation built on Jan. 30, 2020, 10:29 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
Description
The higher DOOR.rank, the better clinical outcome the patient has (based on benefits and harms)
Usage
1 |
Arguments
df |
Dataset that contains all the variables that should be included for ranking and group label, class data.frame |
var_order |
Desired order of variables in dataset df |
ties.method |
By default, ties.method is average |
Value
The rank based on DOOR algorithm based on multivariate clinical variables
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.