methods, stats, utils, ABCanalysis, opGMMassessment

Estimation of the effective dimension reduction (EDR) space
The library contains R-functions to estimate the
effective dimension reduction space in multi-index regression models.
This library is Copyright (C) 2006-2007 Weierstrass Institute for
Applied Analysis and Stochastics.

The library contains R-functions to estimate the effective
dimension reduction space in multi-index regression models.

This library is Copyright (C) 2006-2010 Weierstrass
Institute for Applied Analysis and Stochastics.

This library is Copyright (C) 2006-2013 Weierstrass
Institute for Applied Analysis and Stochastics.

The package contains R-functions to estimate the effective
dimension reduction space in multi-index regression models.

Estimation of the Effective Dimension Reduction ('EDR') Space
The library contains R-functions to estimate the effective
dimension reduction space in 'multi-index' regression models.
This library is Copyright (C) 2006-2016 Weierstrass
Institute for Applied Analysis and Stochastics.

This library is Copyright (C) 2006-2020 Weierstrass
Institute for Applied Analysis and Stochastics.

A R Package For Gene Enrichment Disequilibrium Analysis
An R package for gene Enrichment Disequilibrium analysis.
R (>= 2.10.0), graph,Biobase (>=
2.0.0),DBI,RSQLite,AnnotationDbi (>= 1.7.19),GO.db (>=
1.13.0),SparseM (>= 0.73),topGO,grid,Rgraphviz,Category (>=
2.3.26),GOstats,org.Hs.eg.db
graph,Biobase (>= 1.15.29),DBI,RSQLite,AnnotationDbi (>=
1.7.19),GO.db (>= 1.13.0),SparseM (>=
0.73),topGO,grid,Rgraphviz,Category (>=
2.3.26),GOstats,org.Hs.eg.db

Read and Analyze Fluorescence Excitation-Emission Matrix (EEM)
Data
Read raw EEM data and prepares them for further analysis.
tools, reshape2, graphics, colorRamps, utils, readxl, R.utils,
sp

Read and Preprocess Fluorescence Excitation-Emission Matrix
(EEM) Data

tools, reshape2, graphics, colorRamps, utils, R.utils, sp,
ggplot2

Ensemble Empirical Mode Decomposition and Its Variant Based
Support Vector Regression Model
c(person("Pankaj", "Das", role = c("aut","cre"),email="pankaj.das2@icar.gov.in"), person("Kapil", "Choudhary", role = "aut",email="choudharykapil832@gmail.com"),
person("Girish", "Kumar Jha", role = "aut",email="grish.stat@gmail.com"), person("Achal", "Lama", role = "aut",email="achal.lama@icar.gov.in"))
Application of Ensemble Empirical Mode Decomposition and its variant based Support Vector regression model for univariate time series forecasting. For method details see Das (2020).<http://krishi.icar.gov.in/jspui/handle/123456789/44138>.
Pankaj Das [aut, cre],
Kapil Choudhary [aut],
Girish Kumar Jha [aut],
Achal Lama [aut]