This function fits a generalized linear model for each gene in a cell_data_set. Formulae can be provided to account for additional covariates (e.g. day collected, genotype of cells, media conditions, etc).
fit_models(cds, model_formula_str, expression_family = "quasipoisson",
reduction_method = "UMAP", cores = 1, clean_model = TRUE,
verbose = FALSE, ...)The cell_data_set upon which to perform this operation.
A formula string specifying the model to fit for the genes.
Specifies the family function used for expression responses. Default is "quasipoisson".
Which method to use with clusters() and partitions(). Default is "UMAP".
The number of processor cores to use during fitting.
Logical indicating whether to clean the model. Default is TRUE.
Logical indicating whether to emit progress messages.
Additional arguments passed to model fitting functions.
a tibble containing model objects