Latent Embedding Multivariate Regression

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Documentation for package ‘lemur’ version 1.6.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

$-method	Access values from a 'lemur_fit'
$<--method	Access values from a 'lemur_fit'
.DollarNames.lemur_fit	Access values from a 'lemur_fit'
.lemur_fit	The 'lemur_fit' class
align_by_grouping	Enforce additional alignment of cell clusters beyond the direct differential embedding
align_harmony	Enforce additional alignment of cell clusters beyond the direct differential embedding
design-method	The 'lemur_fit' class
dollar_methods	Access values from a 'lemur_fit'
find_de_neighborhoods	Find differential expression neighborhoods
glioblastoma_example_data	The 'glioblastoma_example_data' dataset
lemur	Main function to fit the latent embedding multivariate regression (LEMUR) model
lemur_fit	The 'lemur_fit' class
lemur_fit-class	The 'lemur_fit' class
predict.lemur_fit	Predict values from 'lemur_fit' object
project_on_lemur_fit	Project new data onto the latent spaces of an existing lemur fit
residuals-method	Predict values from 'lemur_fit' object
test_de	Predict log fold changes between conditions for each cell
test_global	Differential embedding for each condition
[-method	The 'lemur_fit' class