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26 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. 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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Activity Percentile: 91.67
Registered: 2007-08-17 15:17 |
1. ctm - Maximum likelihood and boosting estimators for conditional transformation models. |
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- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Machine Learning : Boosting [Filter]
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Activity Percentile: 75.00
Registered: 2012-01-12 14:03 |
2. 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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- Topic : Econometrics : Structural Change [Filter]
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Activity Percentile: 0.00
Registered: 2014-10-29 16:43 |
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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Registered: 2011-08-20 14:19 |
4. DierckxSpline - This package contains wrappers for Dierckx FITPACK routines for splines. These include univariate smoothing and least-squares splines. |
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Registered: 2007-09-07 17:22 |
5. BayesR: Bayesian Regression - Developement of R Functions to Estimate Complex Bayesian Regression Models. |
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- Topic : Bayesian Statistics : General Model Fitting [Filter]
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Activity Percentile: 0.00
Registered: 2010-08-20 11:45 |
6. 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 |
7. glmx: Generalized Linear Models Extended - Extensions for generalized linear models (GLMs), especially for binary responses, allowing for parametric links or heterogeneity in the latent variables. |
- Development Status : 4 - Beta [Filter]
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Activity Percentile: 0.00
Registered: 2011-04-12 13:09 |
8. 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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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2007-07-25 14:05 |
9. semtools: Methods for SEMs - semtools - Methods for Diagnostic Testing of Structural Equation Models |
- Development Status : 1 - Planning [Filter]
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Registered: 2010-09-21 22:15 |
10. art: Applied Regression Tools - Tools for working with various types of regression tools,
including diagnostic graphics, inference and model comparison. |
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Activity Percentile: 0.00
Registered: 2007-01-31 15:08 |
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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- Topic : Machine Learning : Recursive Partitioning [Filter]
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Activity Percentile: 0.00
Registered: 2008-09-30 11:39 |
12. kinfit/(g)mkin: fit chemical degradation - kinfit and mkin are implementations of the kinetic models and evaluation procedures recommended by in the final report of the FOCUS work group on degradation kinetics first published in 2006. gmkin provides a graphical user interface to mkin. |
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Activity Percentile: 0.00
Registered: 2009-11-30 15:56 |
13. Tools for Uplift Modeling - The R Package tools4uplift integrates some tools for exploring and modeling uplift. The content can be separated into the following steps of statistical modeling: quantization, visualization, model selection and model validation. |
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Registered: 2018-08-31 21:23 |
14. sandwich: Robust Covariance Estimation - An object-oriented implementation of model-robust covariances and standard error estimators for cross-sectional, time series, and longitudinal data. |
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Activity Percentile: 0.00
Registered: 2016-09-21 08:36 |
15. calibFit - This package provides curve fitting, visualization, and calibration methods for the development, validation, and use of biological and chemical assays. The functionality includes heteroscedasticity, model selection, and measures of assay quality. |
- Development Status : 6 - Mature [Filter]
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Registered: 2011-10-25 17:59 |
16. 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 |
17. 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). |
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- Topic : Econometrics : Further Regression Models [Filter]
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Registered: 2008-10-19 20:27 |
18. CatDyn Package for Catch Dynamics Models - Statistical models to assess fish stocks are becoming too demanding in terms of biological information. As an alternative to this trend we are developing the CatDyn project, an R package to assess fish stocks by modeling the operation of fishermen at sea. |
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Registered: 2011-05-17 15:37 |
19. Regression Modeling Strategies - Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of 229 functions that assist with and streamline modeling. |
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Activity Percentile: 0.00
Registered: 2010-11-22 19:09 |
26 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>