Man pages for bbuchsbaum/neuroca
neuroca: multiblock component analysis for neuroimaging data
| add_node | add a pre-processing stage |
| bada | Barycentric Discriminant Analysis |
| bi_projector | construct a 'bi-projector' instance |
| 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_project | project a single 'block' of data onto the subspace |
| 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 |
| classifier | turn a model object into a classifier |
| collapse | Column-wise average a matrix of variables, collapsing over... |
| contributions | contributions |
| cross_validate | cross_validate a model |
| dim_reduce | dimension reduction as a pre-processing stage |
| fast_estim_ncomp | fast_estim_ncomp |
| fresh | get a fresh pre-processing node cleared of any cached data |
| genpca | Generalized Principal Components Analysis |
| get_block | get_block |
| group_means | group_means |
| hpca | hclust_pca |
| loadings | loadings |
| metapca | metapca |
| 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 - multivariate component analysis methods for... |
| partial_project | project a selected subset of indices onto the subspace |
| partial_projector | partial_projector |
| partial_scores | partial_scores |
| pca | principal components analysis |
| prep | prepare a dataset by applying a pre-processing pipeline |
| prepper | contains a series of pre-processing steps |
| proc_rot | procrustes rotation |
| project | project |
| project_cols | project_cols |
| projection_fun | projection_fun |
| projector | construct a 'projector' instance |
| project_table | project_table |
| pseudo_svd | pseudo_svd |
| reconstruct | reconstruct the data with some number of components |
| reprocess.bi_projector | TODO is this needed |
| 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 |
| spatial_constraints | spatial constraints |
| svd_wrapper | svd_wrapper |
| trace_ratio | trace_ratio optimization |
