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8 projects in result set.
0. 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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Registered: 2011-09-23 08:18 |
1. 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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Registered: 2010-11-22 19:09 |
2. 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 |
3. 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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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
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Registered: 2007-08-17 15:17 |
4. 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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Registered: 2007-08-17 17:30 |
5. 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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Registered: 2014-10-29 16:43 |
6. ctm - Maximum likelihood and boosting estimators for conditional transformation models.
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Registered: 2012-01-12 14:03 |
7. 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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Registered: 2016-09-21 08:36 |
