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21 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. blupsurv - Tools for fitting proportional hazards models to clustered
recurrent events data. Nested frailties are modeled by their
best linear unbiased predictors under an auxiliary Poisson model.
Univariate and bivariate recurrent events processes are permitted. |
- Development Status : 4 - Beta [Filter]
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- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Multivariate Statistics [Filter]
- Topic : Regression Models [Filter]
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Registered: 2008-06-14 13:52 |
1. 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 [Filter]
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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
- Topic : Other/Nonlisted Topic [Filter]
- Topic : Regression Models [Filter]
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Registered: 2008-01-08 16:50 |
2. R package nlstools - The R package nlstools: a toolbox for nonlinear regression diagnostics |
- Development Status : 5 - Production/Stable [Filter]
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- Programming Language : R [Filter]
- Topic : Regression Models [Filter]
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Registered: 2009-02-24 11:54 |
3. frontier: Stochastic Frontier Analysis - Maximum Likelihood Estimation of Stochastic Frontier Production and Cost Functions. Two specifications are available: the error components model (Battese and Coelli, 1992) and the efficiency effects model (Battese and Coelli, 1995). |
- Development Status : 4 - Beta [Filter]
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- Natural Language : English [Filter]
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- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Econometrics : Further Regression Models [Filter]
- Topic : Econometrics : Microeconometrics [Filter]
- Topic : Regression Models [Filter]
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Registered: 2008-10-19 20:27 |
4. sampleSelection: Limited Dependent Vari. - Packages for limited dependent variables: censored regression (Tobit) models (pkg censReg), interval regression models (pkg intReg), multivariate probit models (pkg mvProbit), and sample selection (Heckman) models (pkg sampleSelection) |
- Development Status : 4 - Beta [Filter]
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- Topic : Econometrics : Microeconometrics [Filter]
- Topic : Regression Models [Filter]
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2008-09-19 09:08 |
5. lme4 - Mixed-effects models - An R package for fitting and analyzing linear, nonlinear and generalized linear mixed models. |
- 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 |
6. 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. |
- Development Status : 5 - Production/Stable [Filter]
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- Programming Language : R [Filter]
- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Regression Models [Filter]
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Registered: 2008-06-05 19:31 |
7. R functions for functional data analysis - The ‘fda’ package includes functions and data sets for functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis (Springer) and (2002), Applied Functional Data Analysis (Springer). |
- Development Status : 5 - Production/Stable [Filter]
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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Operating System : Microsoft : Windows [Filter]
- Topic : Multivariate Statistics [Filter]
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Registered: 2008-01-18 03:15 |
8. arm - R functions for processing lm, glm, mer and polr outputs. |
- Development Status : 4 - Beta [Filter]
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- Programming Language : R [Filter]
- Topic : Bayesian Statistics [Filter]
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Registered: 2008-04-09 23:40 |
9. semtools: Methods for SEMs - semtools - Methods for Diagnostic Testing of Structural Equation Models |
- Development Status : 1 - Planning [Filter]
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- Topic : Multivariate Statistics [Filter]
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Registered: 2010-09-21 22:15 |
10. gbm - Generalized Boosted Models. Adding additional functionality to the gbm package, including additional robust regression methods, a new binomial classification method, and multinomial classification. |
- Development Status : 5 - Production/Stable [Filter]
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- Programming Language : R [Filter]
- Topic : Machine Learning : Boosting [Filter]
- Topic : Regression Models [Filter]
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Registered: 2009-06-02 16:27 |
11. 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]
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- Topic : Regression Models [Filter]
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2010-04-28 10:52 |
12. 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 [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 |
13. Bias reduction in GLMs - brglm provides brglm.fit which is an alternative method to glm.fit that works under the usual glm interface.
Estimation is either by correcting the bias of the maximum likelihood estimates or using an adjusted-score approach to improving bias. |
- Development Status : 3 - Alpha [Filter]
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- Programming Language : R [Filter]
- Topic : Regression Models [Filter]
- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
- Topic : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2011-08-20 14:19 |
14. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling. |
- Development Status : 5 - Production/Stable [Filter]
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- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Multivariate Statistics : Missing Data [Filter]
- Topic : Regression Models [Filter]
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Registered: 2011-06-17 13:35 |
15. 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]
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- Topic : Regression Models [Filter]
- Topic : Robust Statistics [Filter]
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Registered: 2012-05-15 16:23 |
16. Diagnostic and prognostic meta-analysis - This package provides functions for diagnostic and prognostic meta-analyses. It estimates univariate, bivariate and multivariate models, and allows the aggregation of previously published prediction models with new data. |
- Development Status : 3 - Alpha [Filter]
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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2012-08-09 13:01 |
17. logisticDx - Diagnostic tests for logistic regression. Includes 15x common diagnostic tests including leverage, dChi-square and dBhat per covariate pattern. Also plots for same. |
- Development Status : 4 - Beta [Filter]
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Registered: 2012-09-10 02:59 |
18. Forecasting with Artificial Intelligence - The package ForAI uses machine learning methods such as artificial neural networks, support vector regression, extreme learning machines, and evolutionary algorithms for forecasting and prediction. |
- Development Status : 3 - Alpha [Filter]
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- Operating System : POSIX : Linux [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning [Filter]
- Topic : Optimization [Filter]
- Topic : Regression Models [Filter]
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Registered: 2012-01-22 07:45 |
19. Dynamic Treatment Regimes - A package implementing several modern methods to estimate Dynamic Treatment Regimes: Q-Learning, Interactive Q-Learning, and two value-search methods each using Augmented Inverse Probability Weighted Estimators or Inverse Probability Weighted Estimators. |
- Development Status : 4 - Beta [Filter]
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Registered: 2015-01-20 22:09 |
21 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>