Software Map
Project Tree
Now limiting view to projects in the following categories:
Operating System :: Microsoft :: Windows [Remove This Filter]
License :: OSI Approved :: GNU General Public License (GPL) [Remove This Filter]
Operating System :: POSIX :: Linux [Remove This Filter]
Topic :: Regression Models [Remove This Filter]
3 projects in result set.
0. BradleyTerry2 - BradleyTerry2 provides facilities to specify, fit and evaluate Bradley-Terry models for pairwise comparisons. Models may incorporate object-specific, subject-specific, or contest-specific variables, as well as random effects.
|
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows (Now Filtering)
- Operating System : POSIX : Linux (Now Filtering)
- Programming Language : R [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
|
Activity Percentile: 0.00
Registered: 2010-04-28 10:52 |
1. Linear quantile mixed models - This project is aimed at developing an R package to fit and analyse quantile regression models with random effects.
|
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows (Now Filtering)
- Operating System : POSIX : Linux (Now Filtering)
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2012-05-15 16:23 |
2. Finite Mixure of AFT and FMR models - FMRS package provides estimation and variable selection in Finite Mixture of Accelerated Failure Time Regression (FMAFTR) and Finite Mixture of Regression (FMR) models with a large number of covariates and/or right censoring and heterogeneous structure.
|
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows (Now Filtering)
- Operating System : POSIX : Linux (Now Filtering)
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Regression Models (Now Filtering)
|
Activity Percentile: 0.00
Registered: 2016-03-07 02:31 |
