Software Map
Project Tree
Topic > Multivariate Statistics > Projection Methods
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7 projects in result set.
0. plsgenomics: PLS analyses for genomics - This package provides routines for PLS-based genomic analyses. It implements PLS methods for classification with microarray and Next Generation Sequencing data, prediction of transcription factor activities from combined ChIP-chip analysis. | |
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Activity Percentile: 0.00 Registered: 2014-10-30 14:27 |
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. 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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Activity Percentile: 0.00 Registered: 2008-11-01 19:22 |
3. The Degrees of Freedom of PLS - The package provides Degrees of Freedom of Partial Least Squares. Model selection based on information criteria can be performed.
Krämer & Braun (2007) Kernelizing PLS, Degrees of Freedom, and Efficient Model Selection, ICML-07, 441 - 448 | |
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Activity Percentile: 0.00 Registered: 2009-10-08 14:16 |
4. 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 |
5. adephylo - The package 'adephylo' implements multivariate approaches for comparative data, i.e. data including one phylogeny and one or several traits. | |
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Activity Percentile: 0.00 Registered: 2008-11-18 15:35 |
6. SOMbrero - SOMbrero is an R package dedicated to online Self-Organizing Map. It can be used to train SOM for numeric datasets, contingency tables and dissimilarity data. | |
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Activity Percentile: 0.00 Registered: 2013-06-28 10:16 |