Man pages for CJIVE
Canonical Joint and Individual Variation Explained (CJIVE)

AdjSigVarExpAdjust Signal Variation Explained
cc.jiveCanonical (Correlation) JIVE
cc.jive.predCJIVE joint subject score prediction
chord.norm.diffChordal norm between column-subspaces of two matrices
ConvSims_ggConvert simulation study results
create.graph.longFunction for plotting networks with ggplot
GenerateToyDataGenerate 'Toy' Data
GetSimResults_DirRetrieve simulation results
gg.corr.plotFunction for plotting Pearson correlations between predicted...
gg.load.norm.plotFunction for plotting chordal norms between estimated and...
gg.norm.plotFunction for plotting chordal norms between estimated and...
gg.rank.plotFunction for plotting selected joint ranks
gg.score.norm.plotFunction for plotting chordal norms between estimated and...
MatVarMatrix variation (i.e. Frobenius norm)
MatVar2Alternative calculation - Matrix variation (i.e. Frobenius...
Melt.Sim.CorsConverts correlations of predicted to true joint subject...
perm.jntrankPermutation Test for Joint Rank in CJIVE
scale_loadingsScale and sign-correct variable loadings to assist...
show.image.2Display a heatmap of a matrix (adapted from Erick Lock's...
sjiveSimple JIVE
vec2net.lConvert vector to network
vec2net.uConvert vector to network
CJIVE documentation built on Jan. 22, 2023, 1:24 a.m.