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Topic > Multivariate Statistics > Correspondence Analysis |
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3 projects in result set.
0. Co-correspondence Analysis Methods - Cocorresp implements predictive and symmetric co-correspondence analysis (CoCA) models to relate one community matrix to another by maximising the weighted covariance of the weighted averaged species scores of the two communities. | |
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Activity Percentile: 0.00 Registered: 2008-04-20 19:15 |
1. Multivariate Projection Methods - mpm is an R package by Paul Lewi and Luc Wouters for exploratory multivariate analysis of large data matrices, such as gene expression data from microarray experiments. | |
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Activity Percentile: 0.00 Registered: 2008-01-29 14:46 |
2. FactoMineR - FactoMineR performs multivariate EDA. It performs classical methods such as Principal Components Analysis (PCA), Correspondence analysis (CA), Multiple Correspondence Analysis (MCA) and more advanced methods like Multiple Factor Analysis (MFA). | |
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Activity Percentile: 0.00 Registered: 2010-06-23 08:23 |