fit_hm_model: Convenient wrapper to fit Hidden-Markov Model to single...

In brentscott93/lasertrapr: Automating the Analysis of Laser Trap Data

Convenient wrapper to fit Hidden-Markov Model to single molecule myosin data

Description

Provides a convenient wrapper to setup and fit an HM-Model to single molecule myosin trapping data.

Usage

fit_hm_model(
  trap_data,
  run_mean,
  run_var,
  use_channels,
  em_random_start,
  is_shiny,
  project,
  conditions,
  date,
  obs
)

Arguments

trap_data	trap-data.csv
run_mean	running mean
run_var	running variance
em_random_start	TRUE/FALSE
is_shiny	TRUE/FALSE

Value

a list of two. 1) a table with running mean, variance, and hm-model identified state. 2) variance signal-to-noise.

brentscott93/lasertrapr documentation built on Jan. 12, 2025, 5:02 a.m.