lqmm-package: Linear Quantile Models and Linear Quantile Mixed Models
In lqmm: Linear Quantile Mixed Models
Description
Details
Author(s)
References
Description
Fit quantile regression models for independent and hierarchical data
Details
Package: lqmm
Type: Package
Version: 1.5.2
Date: 2015-09-15
License: GPL (>=2)
LazyLoad: yes
Author(s)
Marco Geraci
Maintainer: Marco Geraci <geraci@mailbox.sc.edu>
References
Geraci M and Bottai M (2007). Quantile regression for longitudinal data using the asymmetric Laplace distribution. Biostatistics 8(1), 140–154.
Geraci M and Bottai M (2014). Linear quantile mixed models. Statistics and Computing, 24(3), 461–479.
Geraci M. (2014) Linear quantile mixed models: The lqmm package for Laplace quantile regression, Journal of Statistical Software, 57(13), 1–29.
lqmm documentation built on May 2, 2019, 4:46 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 Details Author(s) References
Description
Fit quantile regression models for independent and hierarchical data
Details
| Package: | lqmm |
| Type: | Package |
| Version: | 1.5.2 |
| Date: | 2015-09-15 |
| License: | GPL (>=2) |
| LazyLoad: | yes |
Author(s)
Marco Geraci
Maintainer: Marco Geraci <geraci@mailbox.sc.edu>
References
Geraci M and Bottai M (2007). Quantile regression for longitudinal data using the asymmetric Laplace distribution. Biostatistics 8(1), 140–154.
Geraci M and Bottai M (2014). Linear quantile mixed models. Statistics and Computing, 24(3), 461–479.
Geraci M. (2014) Linear quantile mixed models: The lqmm package for Laplace quantile regression, Journal of Statistical Software, 57(13), 1–29.
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.