Man pages for bbuchsbaum/neuropls
neuroca: multiblock component analysis for neuroimaging data

add_nodeadd a pre-processing stage
badaBarycentric Discriminant Analysis
bi_projectorconstruct a 'bi-projector' instance
block_applyblock_apply apply a function to each block of a multi-block...
block_index_listblock_index_list
block_lengthsblock_lengths
block_matrixblock_matrix
block_matrix_listblock_matrix_list
block_pcablock_pca
block_projectproject a single 'block' of data onto the subspace
block_projector#' projector_list projector_list <- function(Xs)...
boot_ratiocompute bootstrap ratios for a list of matrices
boot_sdcompute standard deviations for a set of bootstrap results
bootstrapbootstrap a model
classifierturn a model object into a classifier
collapseColumn-wise average a matrix of variables, collapsing over...
contributionscontributions
cross_validatecross_validate a model
dim_reducedimension reduction as a pre-processing stage
fast_estim_ncompfast_estim_ncomp
freshget a fresh pre-processing node cleared of any cached data
genpcaGeneralized Principal Components Analysis
get_blockget_block
group_meansgroup_means
hpcahclust_pca
loadingsloadings
metapcametapca
mfamultiple factor analysis
muascamuasca
mubadaMultiple Subjects Barycentric Discriminant Analysis
nblocksnblocks extract the number of blocks in a mutli-block data...
ncompncomp get the number of components in the estimated model
neurocaneuroca - multivariate component analysis methods for...
partial_projectproject a selected subset of indices onto the subspace
partial_projectorpartial_projector
partial_scorespartial_scores
pcaprincipal components analysis
prepprepare a dataset by applying a pre-processing pipeline
preppercontains a series of pre-processing steps
proc_rotprocrustes rotation
projectproject
project_colsproject_cols
projection_funprojection_fun
projectorconstruct a 'projector' instance
project_tableproject_table
pseudo_svdpseudo_svd
reconstructreconstruct the data with some number of components
reprocess.bi_projectorTODO is this needed
reproducibilityreproducibility
resampleresample data from a model fit
residualizeCompute a regression model for each column in a matrix and...
residualsget the residuals of a model, after removing the first...
rotateapply a rotation matrix to a solution
scadascada
scorepredGiven a set of projected scores and a set of reference...
scoresscores
shrink_pcashrink_pca
spatial_constraintsspatial constraints
svd_wrappersvd_wrapper
trace_ratiotrace_ratio optimization
bbuchsbaum/neuropls documentation built on July 10, 2020, 9:40 a.m.