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Topic :: Regression Models [Remove This Filter]
Development Status :: 4 - Beta [Remove This Filter]
Programming Language :: C/C++ [Remove This Filter]
4 projects in result set.
0. splinesurv - A package containing utilities for nonparametric Bayesian analysis of clustered survival data. The baseline hazard function and frailty density are modeled using penalized B-splines. Regression and spline parameters are estimated via MCMC. |
- Development Status : 4 - Beta (Now Filtering)
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
- Topic : Other/Nonlisted Topic [Filter]
- Topic : Regression Models (Now Filtering)
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Registered: 2008-01-08 16:50 |
1. Models for Data from Unmarked Animals - This is a stub. Development now continues at http://github.com/ianfiske/unmarked.
unmarked analyzes wildlife data arising from many popular wildlife sampling techniques using 2-stage hierarchical models. |
- Development Status : 4 - Beta (Now Filtering)
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- Programming Language : R [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2007-07-25 14:05 |
2. partykit: Recursive Partytioning Toolkit - Infrastructure for representing, summarizing, and visualizing tree-structured models. It can be used for constructing or reading tree models from different sources (rpart, RWeka, PMML), sharing
functionality for print/plot/predict methods. |
- Development Status : 4 - Beta (Now Filtering)
- Environment : Console (Text Based) [Filter]
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- Natural Language : English [Filter]
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- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Machine Learning : Recursive Partitioning [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Software Development [Filter]
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Registered: 2008-09-30 11:39 |
3. Regression Models for Ordinal Data - This project hosts the R-package 'ordinal'. The ordinal R-package implements likelihood based models for ordinal (ordered categorical) data based on cumulative probabilities in the framework of cumulative link (mixed) models. |
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- Programming Language : R [Filter]
- Topic : Regression Models (Now Filtering)
- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
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Registered: 2010-06-12 18:24 |