Description: Has two functions to help with calculating feature selection stability. 'Lump' is a function that groups subset vectors into a dataframe, and adds NA to shorter vectors so they all have the same length.
'ASM' is a function that takes a dataframe of subset vectors and the original vector of features as inputs, and calculates the Stability of the feature selection.
The calculation for 'asm' uses the Adjusted Stability Measure proposed in: 'Lustgarten', 'Gopalakrishnan', & 'Visweswaran' (2009)<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2815476/>.

Title: Functional Cheng and Church Bi-Clustering
Author: Agostino Torti [aut, cre], Marta Galvani [aut, cre], Alessandra Menafoglio [aut], Simone Vantini[aut]
Description: The FunCC algorithm allows to apply the FunCC algorithm to simultaneously cluster the rows and the columns of a data matrix whose inputs are functions.
Imports: narray, biclust, reshape, RColorBrewer, ggplot2
Packaged: 2020-05-29 10:05:29 UTC; martagalvani

Title: Nonparametric functional chi-square tests
Description: The package implements non-constant functional chi-square tests (Zhang and Song, 2013). Such tests offer an advantage over regression analysis when a parametric form cannot be reliably assumed for the underlying function. It requires data from two or more variables be formatted as a contingency table. Continuous variables must be discretized first which can be done by using the Ckmeans.1d.dp function.
Packaged: 2014-03-07 21:55:04 UTC; Yang Zhang

Title: Chi-Square Tests for Non-Parametric Functional Dependencies
Author: Yang Zhang, Hua Zhong, and Joe Song
Description: Statistical hypothesis testing methods for non-parametric functional dependencies based on chi-square statistics. These tests were designed to reveal causality based on evidence from non-parametric functional dependencies. It implements an asymptotic non-constant functional chi-square test, an exact functional test, and a comparative functional chi-square test. The normalized functional chi-square test was used by the Best Performer NMSUSongLab in DREAM8 Breast Cancer Network Inference Challenges. These tests offer an advantage over regression analysis when a parametric functional form cannot be assumed.