R: Maximal Information-Based Nonparametric Exploration for Variable Analysis

# Maximal Information-Based Nonparametric Exploration for Variable Analysis

## Documentation for package ‘minerva’ version 1.5.10

- DESCRIPTION file.
- Package NEWS.

## Help Pages

minerva-package | The minerva package
cstats | Compute statistics (MIC and normalized TIC) between each pair of the two collections of variables (convenience function). If n and m are the number of variables in X and Y respectively, then the statistic between the (row) i (for X) and j (for Y) is stored in 'mic[i, j]' and 'tic[i, j]'.
MIC-R2 | MINE family statistics Maximal Information-Based Nonparametric Exploration (MINE) statistics. 'mine' computes the MINE family measures between two variables.
mic-r2 | MINE family statistics Maximal Information-Based Nonparametric Exploration (MINE) statistics. 'mine' computes the MINE family measures between two variables.
mictools | Function that implements the 'mictools' pipeline. In particular it computes the null and observed distribution of the 'tic_e' measure
mictools_null | This set of functions are helper function to compute null distribution of the 'tic_e' and 'tic_e' observed distribution from a matrix
mic_strength | Compute the association strengh
MINE | MINE family statistics Maximal Information-Based Nonparametric Exploration (MINE) statistics. 'mine' computes the MINE family measures between two variables.
mine | MINE family statistics Maximal Information-Based Nonparametric Exploration (MINE) statistics. 'mine' computes the MINE family measures between two variables.
minerva | The minerva package
mine_stat | This is an helper function to compute one 'mine' statistic. It take two vectors of the same dimension as an input.
pstats | Compute pairwise statistics (MIC and normalized TIC) between variables (convenience function).
Spellman | CDC15 Yeast Gene Expression Dataset
spellman | CDC15 Yeast Gene Expression Dataset