dimsum__fit_error_model_bootstrap: dimsum__fit_error_model_bootstrap

In lehner-lab/DiMSum: A pipeline for processing deep mutational scanning data

dimsum__fit_error_model_bootstrap

Description

Fit error model on random subsample of the input data.

Usage

dimsum__fit_error_model_bootstrap(
  m,
  input_dt,
  all_reps,
  idx,
  maxN,
  max_tries_per_fit,
  lower_rep,
  Fcorr = NULL
)

Arguments

m	bootstrap number; dummy variable (required)
input_dt	input data.table (required)
all_reps	list of replicates to retain (required)
idx	vector of replicate combinations (required)
maxN	maximum size of subsample (required)
max_tries_per_fit	maximum number of fitting attempts (required)
lower_rep	replicate error lower bound (required)
Fcorr	vector of fitness normalization factors (default:NULL)

Value

Nothing

lehner-lab/DiMSum documentation built on April 10, 2024, 4:15 a.m.