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Topic > Regression Models |
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6 projects in result set.
0. sensitivity - A collection of functions for factor screening and global sensitivity analysis of model output. |
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- Topic : Multivariate Statistics [Filter]
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Registered: 2008-07-15 09:49 |
1. betareg: Beta Regression - Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions. Maximum likelihood regression, finite mixture models, and recursive partitioning for beta regressions are provided. |
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- Topic : Econometrics : Further Regression Models [Filter]
- Topic : Regression Models [Filter]
- Topic : Social Sciences : Other Regression Models [Filter]
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Registered: 2011-09-23 08:18 |
2. 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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- Programming Language : Fortran [Filter]
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics [Filter]
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Registered: 2007-08-17 15:17 |
3. Matrix Methods and Classes - R package Matrix provides a hierarchy of matrix classes, both dense & sparse. Numerous methods & operations on these matrices using BLAS & Lapack; further CHOLMOD and other libraries from the SuiteSparse collection. |
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- Topic : Multivariate Statistics : Matrix Manipulations [Filter]
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Registered: 2007-08-17 17:30 |
4. 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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- Topic : Design of Experiments & Analysis of Experimental Data [Filter]
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Registered: 2009-11-30 15:56 |
5. 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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- Topic : Econometrics [Filter]
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Registered: 2016-09-21 08:36 |