harmony_options: Set advanced parameters for RunHarmony

In harmony: Fast, Sensitive, and Accurate Integration of Single Cell Data

Set advanced parameters for RunHarmony

Description

Set advanced parameters for RunHarmony

Usage

harmony_options(
  alpha = 0.2,
  tau = 0,
  block.size = 0.05,
  max.iter.cluster = 20,
  epsilon.cluster = 0.001,
  epsilon.harmony = 0.01
)

Arguments

alpha	When setting lambda = NULL and use lambda estimation mode, lambda would be determined by the expected number of cells assuming idependece between batches and clusters. i.e., lambda = alpha * expected number of cells, default 0.2 and alpha should be 0 < alpha < 1
tau	Protection against overclustering small datasets with large ones. 'tau' is the expected number of cells per cluster.
block.size	What proportion of cells to update during clustering. Between 0 to 1, default 0.05. Larger values may be faster but less accurate.
max.iter.cluster	Maximum number of rounds to run clustering at each round of Harmony.
epsilon.cluster	Convergence tolerance for clustering round of Harmony. Set to -Inf to never stop early.
epsilon.harmony	Convergence tolerance for Harmony. Set to -Inf to never stop early. When 'epsilon.harmony' is set to not NULL, then user-supplied values of 'early_stop' is ignored.

Value

Return a list for '.options' argument of 'RunHarmony'

Examples

## If want to set max.iter.cluster to be 100, do
## Not run: 
RunHarmony(data_meta, meta_data, vars_use,
              .options = harmony_options(max.iter.cluster = 100))

## End(Not run)

harmony documentation built on Sept. 11, 2024, 8:01 p.m.