fitting_plots: Rootograms plots - Multivariate CMP

In MultRegCMP: Bayesian Multivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data

Rootograms plots - Multivariate CMP

Description

Rootograms plots - Multivariate CMP

Usage

fitting_plots(fit, type = "rootogram", S = 100)

Arguments

fit	An element from 'mcmc_cmp'
type	Wheter to do a bar plot or a rootogram
S	Optional. Indicates the number of posterior samples used (Default 100)

Value

No return value, called for plotting only

Examples

  n = 50; J = 2
  X = list(matrix(rnorm(3*n), ncol = 3), matrix(rnorm(3*n), ncol = 3))
  beta <- list(c(1,0.1, 1), c(0, 0.5, -0.5))
  mu <- exp(prod_list(X, beta))
  y = matrix(rpois(n = length(mu), lambda = mu), nrow = n)
  fit <- mcmc_cmp(y, X, S = 1000, nburn = 1000, scale_cov_b = 0.8,
  scale_cov_beta = 0.04, scale_cov_gamma = 0.06)
  fitting_plots(fit)

MultRegCMP documentation built on June 22, 2024, 9:47 a.m.