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 Topic > Regression Models
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18 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.
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- Development Status : 4 - Beta [Filter]
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
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- Topic : Regression Models [Filter]
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Registered: 2008-01-08 16:50 |
1. lme4 - Mixed-effects models - An R package for fitting and analyzing linear, nonlinear and generalized linear mixed models.
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- Development Status : 4 - Beta [Filter]
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- Topic : Regression Models [Filter]
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2007-08-17 17:27 |
2. Matrix Methods and Classes - R package Matrix provides a hierarchy of matrix classes, both dense & sparse. Numerous methods & operations on these matrices using BLAS & Lapack; further CHOLMOD and other libraries from the SuiteSparse collection.
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- Development Status : 5 - Production/Stable [Filter]
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- Natural Language : German [Filter]
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- Programming Language : R [Filter]
- Topic : Multivariate Statistics : Matrix Manipulations [Filter]
- Topic : Regression Models [Filter]
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Registered: 2007-08-17 17:30 |
3. robustbase - Basic Robust Statistics - R package for "Essential" Robust Statistics: Tools for data analysis with robust methods; incl. regression & multivariate stats; targeting to cover "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; 2006.
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- Development Status : 5 - Production/Stable [Filter]
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- Natural Language : German [Filter]
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics [Filter]
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Registered: 2007-08-17 15:17 |
4. Classification and Regression Training - The caret packages contain functions for tuning predictive models, pre-processing, variable importance and other tools related to machine learning and pattern recognition. Parallel processing versions of the main package are also included.
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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Regression Models [Filter]
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Registered: 2008-06-05 19:31 |
5. 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.
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- Development Status : 4 - Beta [Filter]
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- Topic : Regression Models [Filter]
- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2007-07-25 14:05 |
6. pfda: Functional Principal Components - The PFDA package for R performs functional principal component analysis with B-splines for univariate and bivariate responses. Also handled are binary responses and an additive model for extra variables.
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- Development Status : 3 - Alpha [Filter]
- Development Status : 4 - Beta [Filter]
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- Topic : Time Series [Filter]
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Registered: 2010-01-12 21:52 |
7. gbm - Generalized Boosted Models. Adding additional functionality to the gbm package, including additional robust regression methods, a new binomial classification method, and multinomial classification.
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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Machine Learning : Boosting [Filter]
- Topic : Regression Models [Filter]
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Registered: 2009-06-02 16:27 |
8. 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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- Development Status : 4 - Beta [Filter]
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- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
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Registered: 2010-06-12 18:24 |
9. Curve Estimation etc - Nonparametric Curve Estimation and Related Topics
- univariate normal mixtures
- locally adaptive nonparametric regression (kernel, local polynomial)
- plugin density estimates
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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Cluster Analysis : Model-based Clustering [Filter]
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- Topic : Regression Models [Filter]
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Registered: 2010-07-27 17:16 |
10. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models.
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- Development Status : 3 - Alpha [Filter]
- Environment : Console (Text Based) [Filter]
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- Topic : Bayesian Statistics : General Model Fitting [Filter]
- Topic : Regression Models [Filter]
- Topic : Spatial Data & Statistics [Filter]
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Registered: 2010-08-20 11:45 |
11. 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.
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- Development Status : 4 - Beta [Filter]
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- Topic : Machine Learning : Recursive Partitioning [Filter]
- Topic : Regression Models [Filter]
- Topic : Software Development [Filter]
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Registered: 2008-09-30 11:39 |
12. Gauss-Seidel Estimation of GLMM - This project implements a block-wise Gauss-Seidel (GS) algorithm to fit Generalized Linear Mixed Models (GLMMs). The GS algorithm allows for a significant performance increase and memory saving.
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- Development Status : 3 - Alpha [Filter]
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Registered: 2011-05-11 13:44 |
13. Moment and Inverse Moment Bayes factors - Performs model selection based on non-local priors, including MOM, eMOM and iMOM priors. Routines are provided to compute Bayes factors, marginal densities and to perform variable selection in regression setups.
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- Development Status : 6 - Mature [Filter]
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- Topic : Bayesian Statistics [Filter]
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Registered: 2011-09-26 21:39 |
14. Linear quantile mixed models - This project is aimed at developing an R package to fit and analyse quantile regression models with random effects.
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- Development Status : 4 - Beta [Filter]
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- Topic : Robust Statistics [Filter]
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Registered: 2012-05-15 16:23 |
15. lm.br - Exact significance tests for a changepoint in linear or multiple linear regression. Confidence intervals and confidence regions with exact coverage probabilities for the changepoint.
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- Development Status : 4 - Beta [Filter]
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- Topic : Econometrics : Structural Change [Filter]
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Registered: 2013-02-25 20:29 |
16. cusp - Package for applying Cobb's maximum likelihood method to fitting cusp catastrophe models to data. The package was published in the Journal of Statistical Software [see www.jstatsoft.org/v32/i08/paper].
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- Development Status : 5 - Production/Stable [Filter]
- Development Status : 6 - Mature [Filter]
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
- Topic : Regression Models [Filter]
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Registered: 2014-10-29 16:43 |
17. 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.
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Registered: 2016-03-07 02:31 |
