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18 projects in result set.
0. 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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Registered: 2012-05-15 16:23 |
1. lme4 - Mixed-effects models - An R package for fitting and analyzing linear, nonlinear and generalized linear mixed models.
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2007-08-17 17:27 |
2. 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 |
3. 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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- Topic : Machine Learning : Recursive Partitioning [Filter]
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Registered: 2008-09-30 11:39 |
4. 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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Registered: 2008-01-08 16:50 |
5. 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]
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Registered: 2010-01-12 21:52 |
6. 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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Registered: 2014-10-29 16:43 |
7. DirichletReg: Dirichlet Regression - This project implements Dirichlet regression models for the analysis of compositional data. Starting with the basic fit routines, new functions (model selection, graphics, etc.) will be added and tested here, before being submitted to CRAN.
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- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2010-09-26 14:19 |
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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Registered: 2010-06-12 18:24 |
9. 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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- Topic : Machine Learning : Boosting [Filter]
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Registered: 2009-06-02 16:27 |
10. 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 : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2007-07-25 14:05 |
11. Curve Estimation etc - Nonparametric Curve Estimation and Related Topics
- univariate normal mixtures - `nor1mix`
- Kernel Regression Smoothing with Local or Global Plug-in Bandwidth - `lokern`
- locally adaptive nonparametric regression (kernel, local polynomial) - `lpridge'
- constrained B-splines - `cobs`
- plugin density estimates - `plugdensity`
- single index models - possibly constrained, e.g. to convex curves - `simest`
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- Programming Language : Fortran [Filter]
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- Topic : Cluster Analysis : Model-based Clustering [Filter]
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Registered: 2010-07-27 17:16 |
12. 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 |
13. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models.
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- Development Status : 3 - Alpha [Filter]
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- Topic : Bayesian Statistics : General Model Fitting [Filter]
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Registered: 2010-08-20 11:45 |
14. 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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- Topic : Machine Learning : Model Selection and Validation [Filter]
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Registered: 2008-06-05 19:31 |
15. 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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- Topic : Machine Learning : Model Selection and Validation [Filter]
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Registered: 2016-03-07 02:31 |
16. 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 |
17. 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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- Natural Language : German [Filter]
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
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Registered: 2007-08-17 15:17 |
