<p>mdatools is an R package for preprocessing, exploring and analysis of multivariate data. The package provides methods mostly common for Chemometrics. It was created for an introductory PhD course on Chemometrics given at Section of Chemical Engineering, Aalborg University.</p
1. The mvabund package for R provides tools for model-based analysis of multivariate abundance data ...
In a series of papers de Leeuw developed a general framework for multivariate analysis with optimal ...
The R package micompr implements a procedure for assessing if two or more multivariate samples are ...
Modern tools for R, an open source "statistical" language, include various routines for Multidimensi...
This book offers readers an accessible introduction to the world of multivariate statistics in the l...
International audienceIn this article, we present FactoMineR an R package dedicated to multivariate ...
This paper describes the core features of the R package mmeta, which implements the exact posterior ...
In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The mai...
This package contains some scripts written in the R language (R Core Team 2020) that allow the calcu...
An application of multivariate meta-analysis for pooling estimates of non-linear associations from m...
In the paper we present an R package MNM dedicated to multivariate data analysis based on the L1 nor...
As new methods for multivariate analysis of genome wide association studies become available, it is ...
The package mvmeta consists of a collection of functions to perform fixed and random-effects multiva...
Revised and updated third edition offers a broader range of material Wide scope of methods and appli...
This is the R code used to run multivariate analysis and ordinations in the vegan package.</p
1. The mvabund package for R provides tools for model-based analysis of multivariate abundance data ...
In a series of papers de Leeuw developed a general framework for multivariate analysis with optimal ...
The R package micompr implements a procedure for assessing if two or more multivariate samples are ...
Modern tools for R, an open source "statistical" language, include various routines for Multidimensi...
This book offers readers an accessible introduction to the world of multivariate statistics in the l...
International audienceIn this article, we present FactoMineR an R package dedicated to multivariate ...
This paper describes the core features of the R package mmeta, which implements the exact posterior ...
In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The mai...
This package contains some scripts written in the R language (R Core Team 2020) that allow the calcu...
An application of multivariate meta-analysis for pooling estimates of non-linear associations from m...
In the paper we present an R package MNM dedicated to multivariate data analysis based on the L1 nor...
As new methods for multivariate analysis of genome wide association studies become available, it is ...
The package mvmeta consists of a collection of functions to perform fixed and random-effects multiva...
Revised and updated third edition offers a broader range of material Wide scope of methods and appli...
This is the R code used to run multivariate analysis and ordinations in the vegan package.</p
1. The mvabund package for R provides tools for model-based analysis of multivariate abundance data ...
In a series of papers de Leeuw developed a general framework for multivariate analysis with optimal ...
The R package micompr implements a procedure for assessing if two or more multivariate samples are ...
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