bcmixed: bcmixed: A package for mixed effect models with the Box-Cox...
In bcmixed: Mixed Effect Model with the Box-Cox Transformation
Description
The bcmixed package provides two categories of important functions:
bcmarg and bcmmrm. The bcmarg
function provides inferences on the marginal model of the mixed effect
model with the Box-Cox transformation and the bcmmrm
provides inferences on the model median differences between treatment
groups for longitudinal randomized clinical trials. These statistical
methods are proposed by Maruo et al. (2017,
https://doi.org/10.1002/sim.7279).
Details
Package: bcmixed
Type: Package
Version: 0.1.4
Date: 2020-03-30
Author(s)
Kazushi Maruo, Ryota Ishii, Yusuke Yamaguchi, Masahiko Gosho
bcmixed documentation built on March 31, 2020, 5:22 p.m.
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Description
The bcmixed package provides two categories of important functions:
bcmarg and bcmmrm. The bcmarg
function provides inferences on the marginal model of the mixed effect
model with the Box-Cox transformation and the bcmmrm
provides inferences on the model median differences between treatment
groups for longitudinal randomized clinical trials. These statistical
methods are proposed by Maruo et al. (2017,
https://doi.org/10.1002/sim.7279).
Details
| Package: | bcmixed |
| Type: | Package |
| Version: | 0.1.4 |
| Date: | 2020-03-30 |
Author(s)
Kazushi Maruo, Ryota Ishii, Yusuke Yamaguchi, Masahiko Gosho
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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