wilonestep: Wilcoxon estimate for independent linear models
In rlme: Rank-Based Estimation and Prediction in Random Effects Nested Models
Description
Usage
Arguments
References
Description
This function gets weighted rank based fittings.
Usage
1
wilonestep(y, x)
Arguments
y
Response vector of nx1.
x
Design matrix, pxn, without intercept.
References
J. T. Terpstra and J. W. McKean. Rank-based analysis of linear
models using R. Journal of Statistical Software, 14(7) 1 – 26, 7 2005. ISSN
1548-7660. URL http://www.jstatsoft.org/v14/i07.
rlme documentation built on May 2, 2019, 3:47 p.m.
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Description Usage Arguments References
Description
This function gets weighted rank based fittings.
Usage
1 | wilonestep(y, x)
|
Arguments
y |
Response vector of nx1. |
x |
Design matrix, pxn, without intercept. |
References
J. T. Terpstra and J. W. McKean. Rank-based analysis of linear models using R. Journal of Statistical Software, 14(7) 1 – 26, 7 2005. ISSN 1548-7660. URL http://www.jstatsoft.org/v14/i07.
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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