Authors@R: c(person("Donghoh", "Kim", role = c("aut", "cre"), email = "donghoh.kim@gmail.com"),
person("Hee-Seok", "Oh", role = "aut", email = "heeseok@stats.snu.ac.kr"))
Description: For multiscale analysis, this package carries out empirical mode decomposition and Hilbert spectral
Packaged: 2018-12-04 12:53:10 UTC; donghohkim

Packaged: 2021-12-30 02:20:42 UTC; donghohkim

Title: Ensemble Machine Learning Hybrid Model
person("Girish", "Jha", role = "aut",email="grish.stat@gmail.com"))
Description: The researchers can use this package to fit Empirical Mode Decomposition and Artificial Neural Network based hybrid model for nonlinear and non stationary time series data.

Description: Researchers can fit Empirical Mode Decomposition and Support Vector Regression based hybrid model for nonlinear and non stationary time series data using this package.

Title: Earth Mover's Distance for Differential Analysis of Genomics
Description: The EMDomics algorithm is used to perform a supervised two-class
analysis to measure the magnitude and statistical significance of observed
continuous genomics data between two groups. Usually the data will be gene
expression values from array-based or sequence-based experiments, but data
from other types of experiments can also be analyzed (e.g. copy number
variation). Traditional methods like Significance Analysis of Microarrays
(SAM) and Linear Models for Microarray Data (LIMMA) use significance tests
based on summary statistics (mean and standard deviation) of the two
distributions. This approach lacks power to identify expression differences
between groups that show high levels of intra-group heterogeneity. The Earth
Mover's Distance (EMD) algorithm instead computes the "work" needed to
transform one distribution into the other, thus providing a metric of the
overall difference in shape between two distributions. Permutation of sample
labels is used to generate q-values for the observed EMD scores.
Imports: emdist, BiocParallel, matrixStats, ggplot2

Title: EM-Algorithm for Jump Diffusion processes
Description: Calculates parameters for Jump Diffusion processes via
EM-Algorithm. The jumps-times are considered to be bernoulli
distributed with normally distributed jump-sizes.
Packaged: Thu Apr 16 11:15:17 2009; HP_Besitzer