R: Robust Angle Based Joint and Individual Variation Explained

# Robust Angle Based Joint and Individual Variation Explained

## Documentation for package ‘RaJIVE’ version 1.0

- DESCRIPTION file
- Package README

## Help Pages

ajive.data.sim | Simulation of data blocks
data_heatmap | Decomposition Heatmaps
decomposition_heatmaps_robustH | Decomposition Heatmaps
get_block_loadings | Block Loadings
get_block_scores | Block Scores
get_final_decomposition_robustH | Computes the final JIVE decomposition.
get_individual_decomposition_robustH | Computes the individual matrix for a data block.
get_individual_rank | Individual Rank
get_joint_decomposition_robustH | Computes the individual matrix for a data block
get_joint_rank | Joint Rank
get_joint_scores_robustH | Computes the joint scores.
get_random_direction_bound_robustH | Estimate the wedin bound for a data matrix.
get_svd_robustH | Computes the robust SVD of a matrix Using robRsvd
get_sv_threshold | The singular value threshold.
get_wedin_bound_samples | Gets the wedin bounds
Rajive | Robust Angle based Joint and Individual Variation Explained
RobRSVD.all | Computes the robust SVD of a matrix
showVarExplained_robust | Proportions of variance explained
sim_dist | Simulation of single data block from distribution
svd_reconstruction | Reconstruces the original matrix from its robust SVD.
truncate_svd | Truncates a robust SVD.
wedin_bound_resampling | Resampling procedure for the wedin bound