lqmm

Linear Quantile Mixed Models

Functions to fit quantile regression models for hierarchical data (2-level nested designs) as described in Geraci and Bottai (2014, Statistics and Computing) <doi:10.1007/s11222-013-9381-9>. A vignette is given in Geraci (2014, Journal of Statistical Software) <doi:10.18637/jss.v057.i13> and included in the package documents. The packages also provides functions to fit quantile models for independent data and for count responses.

Total

23,682

Last month

453

Last week

174

Average per day

15

Daily downloads

Total downloads

Description file content

Package
lqmm
Type
Package
Title
Linear Quantile Mixed Models
Version
1.5.4
Date
2018-04-13
Author
Marco Geraci
Maintainer
Marco Geraci
Depends
R (>= 3.0.0)
Imports
stats, utils, nlme (>= 3.1-124), SparseGrid
Description
Functions to fit quantile regression models for hierarchical data (2-level nested designs) as described in Geraci and Bottai (2014, Statistics and Computing) . A vignette is given in Geraci (2014, Journal of Statistical Software) and included in the package documents. The packages also provides functions to fit quantile models for independent data and for count responses.
License
GPL (>= 2)
LazyLoad
yes
RoxygenNote
6.0.1
NeedsCompilation
yes
Packaged
2018-04-13 12:43:38 UTC; geraci
Repository
CRAN
Date/Publication
2018-04-13 13:17:46 UTC

install.packages('lqmm')

1.5.4

5 months ago

Marco Geraci

GPL (>= 2)

Depends on

R (>= 3.0.0)

Imports

stats, utils, nlme (>= 3.1-124), SparseGrid

Discussions