neuroca: multiblock component analysis for neuroimaging data

bada | Barycentric Discriminant Analysis |

block_apply | block_apply apply a function to each block of a multi-block... |

block_index_list | block_index_list |

block_lengths | block_lengths |

block_matrix | block_matrix |

block_matrix_list | block_matrix_list |

block_pca | block_pca |

block_projector | #' projector_list projector_list <- function(Xs)... |

boot_ratio | compute bootstrap ratios for a list of matrices |

boot_sd | compute standard deviations for a set of bootstrap results |

bootstrap | bootstrap a model |

collapse | Column-wise average a matrix of variables, collapsing over... |

contributions | contributions |

cross_validate | cross_validate a model |

fast_estim_ncomp | fast_estim_ncomp |

genpca | Generalized Principal Components Analysis |

get_block | get_block |

group_means | group_means |

hpca | hclust_pca |

loadings | loadings |

mfa | multiple factor analysis |

muasca | muasca |

mubada | Multiple Subjects Barycentric Discriminant Analysis |

nblocks | nblocks extract the number of blocks in a mutli-block data... |

ncomp | ncomp get the number of components in the estimated model |

neuroca | neuroca - multiblock component analysis methods for... |

nneg_pca | nneg_pca |

partial_scores | partial_scores |

proc_rot | procrustes rotation |

project | project |

project_cols | project_cols |

projection_fun | projection_fun |

project_table | project_table |

pseudo_svd | pseudo_svd |

reconstruct | reconstruct the data with some number of components |

reproducibility | reproducibility |

resample | resample data from a model fit |

residualize | Compute a regression model for each column in a matrix and... |

residuals | get the residuals of a model, after removing the first... |

rotate | apply a rotation matrix to a solution |

scada | scada |

scorepred | Given a set of projected scores and a set of reference... |

scores | scores |

shrink_pca | shrink_pca |

svd_wrapper | svd_wrapper |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.