dimsum__fit_error_model: dimsum__fit_error_model

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

dimsum__fit_error_model

Description

Fit error model.

Usage

dimsum__fit_error_model(
  dimsum_meta,
  input_dt,
  all_reps,
  norm_dt,
  Nbootstraps = 100,
  maxN = 10000,
  max_tries_per_fit = 20,
  lower_rep = 1e-04
)

Arguments

dimsum_meta	an experiment metadata object (required)
input_dt	input data.table (required)
all_reps	list of replicates to retain (required)
norm_dt	data.table of normalisation parameters (default:NULL)
Nbootstraps	number of bootstraps (default:100)
maxN	maximum sample size for each bootstrap (default:5000)
max_tries_per_fit	maximum number of fitting attempts (default:20)
lower_rep	replicate error lower bound (default:1e-4)

Value

Nothing

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