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Topic :: Regression Models [Remove This Filter]
Development Status :: 3 - Alpha [Remove This Filter]
7 projects in result set.
0. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models. |
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Registered: 2010-08-20 11:45 |
1. topmodels: Enhanced Model Infrastructure - topmodels: Enhanced modeling infrastructure for probabilistic 4-casting, diagnostic graphics, and inference. |
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Registered: 2018-02-01 16:08 |
2. 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. |
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Registered: 2012-01-22 07:45 |
3. 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. |
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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 |
4. Instrument Limit of Detection Modeling - Limit of Detection (LOD) reflects an (medical diagnostic) instrument's level of sensitivity. We develop the LOD model selection and estimation tools with application to medical diagnostic instruments. |
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Registered: 2011-11-14 17:17 |
5. DierckxSpline - This package contains wrappers for Dierckx FITPACK routines for splines. These include univariate smoothing and least-squares splines. |
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- Programming Language : Fortran [Filter]
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Registered: 2007-09-07 17:22 |
6. mvinfluence: multivariate influence - This package computes regression deletion diagnostics for multivariate linear models and provides some associated diagnostic plots. |
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- Topic : Multivariate Statistics : Linear Models [Filter]
- Topic : Multivariate Statistics : Visualising Multivariate Data [Filter]
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Registered: 2012-04-19 12:23 |