# Latent Embedding Multivariate Regression

## Documentation for package ‘lemur’ version 1.11.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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
compute_contrasts | Predict log fold changes between conditions for each cell. Both names 'compute_contrasts' and 'test_de' bind to the same function, but the former is more evocative.
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. Both names 'compute_contrasts' and 'test_de' bind to the same function, but the former is more evocative.
test_global | Differential embedding for each condition
[-method | The 'lemur_fit' class