| %^% | Calculate the power of a square matrix |
| angleMatchICA | Match the colums of Mx and My |
| aveM | Average Mj for Mx and My Here subjects are by rows, columns correspond to components |
| calculateJB | Calculates the sum of the JB scores across all components, useful for determining rho. |
| covwhitener | Returns square root of the precision matrix for whitening |
| create.graph.long | create graph dataset with netmat and mmp_order a data.frame called with vectorization of reordered netmat by mmp_order. |
| curvilinear | Curvilinear algorithm with r0 joint components |
| curvilinear_c | Curvilinear algorithm based on C code with r0 joint components |
| est.M.ols | Estimate mixing matrix from estimates of components |
| exampledata | Data for simulation example 1 |
| gen.inits | Generate initialization from specific space |
| greedymatch | Greedy Match |
| lngca | Decompose the original data through LNGCA method. |
| matchICA | match ICA |
| NG_number | find the number of non-Gaussian components in the data. |
| orthogonalize | Orthogonalization of matrix |
| permmatRank_joint | Permutation test to get joint components ranks |
| permTestJointRank | Permutation test with Greedymatch |
| pmse | Permutation invariant mean squared error |
| signchange | Sign change for S matrix to image |
| singR | SImultaneous Non-Gaussian Component analysis for data integration. |
| standard | Standardization with double centered and column scaling |
| theta2W | Convert angle vector into orthodox matrix |
| tiltedgaussian | tiltedgaussian |
| vec2net | Create network matrices from vectorized lower diagonals 'vec2net' transfer the matrix vectorized lower diagonals into net to show the component image. |
| whitener | Whitening Function |