fit_hm_model_to_covar_smooth: Convenient wrapper to fit Hidden-Markov Model to COVARIANCE

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

Convenient wrapper to fit Hidden-Markov Model to COVARIANCE

Description

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

Usage

fit_hm_model_to_covar_smooth(
  covar_smooth,
  pb1_smooth,
  pb2_smooth,
  em_random_start,
  is_shiny,
  project,
  conditions,
  date,
  obs
)

Arguments

covar_smooth	smoothed covariance
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.