Man pages for selbouhaddani/PO2PLS
Probabilistic Two-Way Orthogonal Partial Least Squares
| blockm | Construct a block-diagonal matrix |
| bootstrap_inner.po2m | Calculate standard errors for the inner relation coefficient... |
| cov.PO2PLS | Calculate covariance matrix of PO2PLS |
| E_step | Expectation step |
| E_step_slow | Expectation step (slower version) |
| E_step_test | Expectation step |
| generate_data | Generate two datasets based on PO2PLS |
| generate_params | Generate parameter values of a PO2PLS model |
| jitter_params | Jitter PO2PLS parameters |
| Lemma | Implements block-wise inverse |
| LRT | Likelihood ratio test for two nested PO2PLS fits |
| M_step | Maximization step |
| PO2PLS | Perform O2-PLS with two-way orthogonal corrections |
| PO2PLS-package | PO2PLS: Probabilistic Two-way Orthogonal Partial Least... |
| PO2PLS_to_po2m | Convert old PO2PLS fit to new-style PO2PLS fit |
| print.loglik.po2m | Prints log-likelihood statistics of a PO2PLS fit |
| print.po2m | Prints an overview of a PO2PLS fit |
| print.summary.po2m | Prints a summary of a PO2PLS fit |
| summary.po2m | Calculates a summary of a PO2PLS fit |
| tr | Calculate trace of a matrix |
| variances_inner.po2m | Calculate the variance covariance matrix of the estimated... |
