Title: Estimation of the Effective Dimension Reduction ('EDR') Space
dimension reduction space in 'multi-index' regression models.
Copyright: This library is Copyright (C) 2006-2016 Weierstrass

Copyright: This library is Copyright (C) 2006-2020 Weierstrass

Title: A R Package For Gene Enrichment Disequilibrium Analysis
Description: An R package for gene Enrichment Disequilibrium analysis.
Depends: R (>= 2.10.0), graph,Biobase (>=
Imports: graph,Biobase (>= 1.15.29),DBI,RSQLite,AnnotationDbi (>=
Packaged: 2012-08-10 15:50:46 UTC; Administrator

Packaged: 2012-08-04 11:28:49 UTC; Administrator

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

Title: Read and Preprocess Fluorescence Excitation-Emission Matrix

Imports: tools, reshape2, graphics, colorRamps, utils, R.utils, sp,

Title: Ensemble Empirical Mode Decomposition and Its Variant Based
Authors@R: 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"))
Description: 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>.

Title: Ensemble Empirical Mode Decomposition and Its Variant Based ELM
Maintainer: Girish Kumar Jha <girish.stat@gmail.com>
Description: Forecasting univariate time series with different decomposition based Extreme Learning Machine models. For method details see Yu L, Wang S, Lai KK (2008). <doi:10.1016/j.eneco.2008.05.003>, Parida M, Behera MK, Nayak N (2018). <doi:10.1109/ICSESP.2018.8376723>.

Title: EEMD Based LSTM Model for Time Series Forecasting
Description: Forecasting univariate time series with ensemble empirical mode decomposition (EEMD) with long short-term memory (LSTM). For method details see Jaiswal, R. et al. (2022). <doi:10.1007/s00521-021-06621-3>.
Imports: keras, tensorflow, reticulate, tsutils, BiocGenerics, utils,