Depends: R (>= 4.0.3), stats, BayesGOF, MASS

Title: Linear Predictor Score, for Binary Inference from Multiple
Description: An implementation of the Linear Predictor Score approach, as initiated by Radmacher et al. (J Comput Biol 2001) and enhanced by Wright et al. (PNAS 2003) for gene expression signatures. Several tools for unsupervised clustering of gene expression data are also provided.

Depends: graphics, grDevices, R (>= 2.10)

Title: Linear Predictor Score, for binary inference from multiple
Description: This package provides functions implementing the Linear Predictor Score approach, as initiated by Radmacher et al. (J Comput Biol 2001) and enhanced by Wright et al. (PNAS 2003). Given a set of continuous variables (typically gene expression values), it builds a simple score able to retrieve previously defined classes.

Title: Learned Pattern Similarity and Representation for Time Series
Author: Learned Pattern Similarity (LPS) for time series by Mustafa Gokce Baydogan,
Ensemble of regression trees by Andy Liaw and Matthew Wiener.
Maintainer: Mustafa Gokce Baydogan <baydoganmustafa@gmail.com>
Description: Learned Pattern Similarity (LPS) for time series. This package is based on the
'randomForest' package by Andy Liaw. LPS aims at finding time series patterns to

Author: Learned Pattern Similarity (LPS) for time series by Mustafa Gokce Baydogan
Description: Learned Pattern Similarity (LPS) for time series.
Implements a novel approach to model the dependency structure
in time series that generalizes the concept of autoregression to local
auto-patterns. Generates a pattern-based representation of time series
along with a similarity measure called Learned Pattern Similarity (LPS).
Introduces a generalized autoregressive kernel.This package is based on the

Author: Ensemble of regression trees by Andy Liaw and Matthew Wiener,
Learned Pattern Similarity (LPS) for time series by

Title: LP Nonparametric Approach to Non-Gaussian Non-Linear Time Series
Author: Subhadeep Mukhopadhyay, Shinjini Nandi
Description: Specially designed rank transform based Legendre Polynomial-like (LP) orthonormal transformations are implemented for non-linear signal processing.
Packaged: 2015-03-03 19:00:21 UTC; Shinjini Nandi