mix_dist: use mix() to estimate underlying distributions

In csiro-crop-informatics/granular: Resolving starch granule distributions

Description

use mix() to estimate underlying distributions

Usage

mix_dist(dist, ps, mu_vec, pi_vec = NULL, sigma_vec = NULL,
  peak_names = NULL, sample_name = NULL, emnum = 10, log_trans = TRUE)

Arguments

dist	A numeric vector defining the distribution
ps	A numeric vector describing the granule sizes
mu_vec	A vector defining distribution means (required)
pi_vec	A vector defining distribution proportions (optional)
sigma_vec	A vector defining distribution dispersion (optional)
peak_names	A vector defining peak names (optional)
sample_name	A character string defining the sample name (optional)
emnum	passed to mix() - A non-negative integer specifying the number of EM steps to be performed
log_trans	Logical. Should values be log-transformed?

Value

A list with the fit parameters for each distribution, and complete output from mixdist::mix()

csiro-crop-informatics/granular documentation built on June 5, 2020, 1:45 p.m.