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8 projects in result set.
0. candisc: Canonical discriminant analysis - The candisc package provides computational methods for generalized
canonical discriminant analysis and low-dimensional visualization via the related heplots package.
Development on this project has moved to http://github.com/friendly/candisc
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Registered: 2008-11-01 19:22 |
1. vcd: Visualizing Categorical Data - The vcd project aims at further developing visualization methods suitable for categorical data using R.
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Registered: 2009-02-06 16:02 |
2. tableplot: semi-graphic tabular displays - A tableplot is a semi-graphic display in the form of a table with numeric values, supplemented
by symbols with size proportional to cell value(s), and with visual attributes that can be used to encode other information.
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Registered: 2010-01-14 14:22 |
3. Generalized ridge trace plots - The genridge package introduces generalizations of the standard univariate ridge trace plot used in ridge regression and related methods. These graphical methods show both bias and precision.
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- Development Status : 4 - Beta [Filter]
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- Topic : Multivariate Statistics : Linear Models [Filter]
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Registered: 2011-08-23 16:20 |
4. xkcd - Graphs using the XKCD style (http://xkcd.com/). Original idea was borrowed from http://stackoverflow.com/questions/12675147/how-can-we-make-xkcd-style-graphs-in-r.
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Registered: 2013-04-28 15:53 |
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. Nonlinear regression analysis - Data sets from Bates and Watts (1988) "Nonlinear Regression Analysis and Its Applications" plus lattice-based graphics for nonlinear regression models, including parameter inference regions.
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Registered: 2007-06-01 15:07 |
7. regression - user oriented functions - This is a collection of useful user-oriented functions to fit many types of regression models.
The printing and plotting methods give outputs that collect the essential results of fitting in a unified manner.
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Registered: 2009-09-30 08:51 |
