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11 projects in result set.
0. 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]
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Registered: 2008-09-30 11:39 |
1. 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 |
2. 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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- 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 |
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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- Programming Language : Fortran [Filter]
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- Topic : Econometrics : Further Regression Models [Filter]
- Topic : Econometrics : Microeconometrics [Filter]
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Registered: 2008-10-19 20:27 |
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. |
- Development Status : 4 - Beta [Filter]
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
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Registered: 2008-01-08 16:50 |
5. sensitivity - A collection of functions for factor screening and global sensitivity analysis of model output. |
- Development Status : 5 - Production/Stable [Filter]
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- Topic : Multivariate Statistics [Filter]
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Registered: 2008-07-15 09:49 |
6. 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 : Social Sciences : Linear and Generalized Linear Models [Filter]
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Registered: 2008-09-19 09:08 |
7. 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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- Topic : Machine Learning : Model Selection and Validation [Filter]
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Registered: 2008-06-05 19:31 |
8. 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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- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Multivariate Statistics [Filter]
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Registered: 2008-06-14 13:52 |
9. 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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- Topic : Graphics [Filter]
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Registered: 2012-09-10 02:59 |
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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- Topic : Machine Learning : Boosting [Filter]
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Registered: 2009-06-02 16:27 |