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9 projects in result set.
0. 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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Activity Percentile: 42.86
Registered: 2007-08-17 17:30 |
1. 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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Activity Percentile: 0.00
Registered: 2009-11-30 15:56 |
2. sensitivity - A collection of functions for factor screening and global sensitivity analysis of model output. |
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Registered: 2008-07-15 09:49 |
3. 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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- Programming Language : R [Filter]
- Topic : Econometrics [Filter]
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- Topic : Robust Statistics [Filter]
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Activity Percentile: 0.00
Registered: 2016-09-21 08:36 |
4. 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 (Now Filtering)
- Topic : Robust Statistics [Filter]
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Activity Percentile: 0.00
Registered: 2007-08-17 15:17 |
5. 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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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2010-11-22 19:09 |
6. 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 |
7. 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]
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- Topic : Social Sciences : Other Regression Models [Filter]
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Registered: 2011-09-23 08:18 |
8. ctm - Maximum likelihood and boosting estimators for conditional transformation models. |
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- Programming Language : R [Filter]
- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Machine Learning : Boosting [Filter]
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Activity Percentile: 0.00
Registered: 2012-01-12 14:03 |