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 |
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