R: Thresholded Ordered Sparse CCA

# Thresholded Ordered Sparse CCA

## Documentation for package ‘toscca’ version 1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

cpev.toscca | Calculates cpev
fastEigen | Performs eigen decomposition of a matrix in PS space.
getCanSubspace | Performs matrix residualisation over estimated canonical vectors by using the null space of the estimated canonical vector to construct a new matrix.
getWhich | Get location of required.
initialiseCanVar | Initialised the canonical vector for the iterative process based on positive eigen values. Then, SVD is performed on that PS matrix.
modes | Calculates mode.
myHeatmap | Plot heatmap of cv w.r.t. the penalty parameter perfotmance.
plt.selstab | Plot slection stability for penalty parameter performance.
powerMethod | Performs power method.
progressBar | Progress bar
residualisation | Performs matrix residualisation over estimated canonical vectors. There are three types: basic (subtracts scaled estimated latent variable from data), null (uses the null space of the estimated canonical vector to construct a new matrix) and LV (uses SVD to residualise).
scaledResidualMat | Performs scalling for matrix residualisation based on calculated coefficients.
scale_rm | Standardises matrices with multiple measurements per individual.
standardVar | Stardardise a matrix
summary.toscca_object | Plot heatmap of cv w.r.t. the penalty parameter perfotmance.
toscamm.perm | Computes permutatied cc fot TOSCCA-MM
toscca | Sparse Canonical Correlation Analysis. Computation of CC via NIPALS with soft thresholding.
toscca.core | Sparse Canonical Correlation Analysis. Computation of CC via NIPALS with soft thresholding.
toscca.folds | Sparse Canonical Correlation Analysis. Computation of CC via NIPALS with soft thresholding.
toscca.lv | Get latent variables
toscca.perm | Permutation testing for toscca
toscca.tStat | Get the estatistic for the permutations.
tosccamm | Computes TOSCCA-MM