Package 'DEmixR'

Title: Fit Two-Component Normal and Lognormal Mixture Models
Description: Fits, bootstraps, and evaluates two-component normal and lognormal mixture models. Includes diagnostic plots and statistical evaluation of mixture model fits using differential evolution optimization.
Authors: Farrokh Habibzadeh [aut, cre]
Maintainer: Farrokh Habibzadeh <[email protected]>
License: MIT + file LICENSE
Version: 0.1.1
Built: 2026-05-26 07:47:54 UTC
Source: https://github.com/cran/DEmixR

Help Index

Bootstrap mixture parameters

Description

Bootstrap mixture parameters

Usage

bootstrap_mix2(
  fit = NULL,
  x = NULL,
  par = NULL,
  family = NULL,
  B = 1000,
  parametric = TRUE,
  boot_size = NULL,
  parallelType = 0,
  quiet = 2,
  ci_level = 0.95
)

Arguments

fit

fitted object from fit_lognorm2 or fit_norm2
x

numeric vector (if fit not provided)
par

numeric vector of parameters (if fit not provided)
family

"lognormal" or "normal" (if fit not provided)
B

number of bootstrap replicates
parametric

logical, parametric bootstrap if TRUE
boot_size

size or fraction (if between 0 and 1) of bootstrap sample
parallelType

integer for DEoptim/pbapply parallelism
quiet

0/1/2 for verbosity
ci_level

confidence level

Value

list with cleaned bootstrap estimates, central tendency, and CI

Evaluate initial parameter values for mixture fitting

Description

Evaluate initial parameter values for mixture fitting

Usage

evaluate_init(
  par_init,
  x,
  family = c("lognormal", "normal"),
  lower = NULL,
  upper = NULL,
  pgtol = 1e-08
)

Arguments

par_init

numeric vector of initial parameters
x

numeric vector of data
family

"lognormal" or "normal"
lower

numeric vector of lower bounds
upper

numeric vector of upper bounds
pgtol

numeric, gradient tolerance for optim

Value

list with success flag, optimized parameters, log-likelihood, and convergence

Fit 2-component lognormal mixture

Description

Fit 2-component lognormal mixture

Usage

fit_lognorm2(x, ...)

Arguments

x

numeric vector of data to fit
...

additional arguments passed to .fit_mix2_core

Value

list with fitted parameters and metrics

Fit 2-component normal mixture

Description

Fit 2-component normal mixture

Usage

fit_norm2(x, ...)

Arguments

x

numeric vector of data to fit
...

additional arguments passed to .fit_mix2_core

Value

list with fitted parameters and metrics

Preliminary diagnostic plots

Description

Preliminary diagnostic plots

Usage

prelim_plots(
  x,
  which = c("hist"),
  hist_bins = 60,
  col_hist = "grey85",
  col_density = "darkorange",
  col_qq = "grey60",
  col_line = "darkorange"
)

Arguments

x

numeric vector
which

character vector: "hist", "qq", "pp", "logqq"
hist_bins

number of bins for histogram
col_hist

color for histogram
col_density

color for density line in histogram
col_qq

color for qq points
col_line

color for lines in "qq", "pp", "logqq" plots

Value

no return value, called for side effects (generating plots)

Select best mixture model (lognormal or normal) based on BIC

Description

Select best mixture model (lognormal or normal) based on BIC

Usage

select_best_mixture(x, n_runs = 1, NP = 50, itermax = 10000, quiet = 2)

Arguments

x

numeric vector
n_runs

number of DEoptim runs
NP

population size for DEoptim
itermax

maximum iterations
quiet

verbosity

Value

list with best fit, all fits, and BICs