plot.hmm_mcmc_normal: Plot Diagnostics for 'hmm_mcmc_normal' Objects
In oHMMed: HMMs with Ordered Hidden States and Emission Densities

plot.hmm_mcmc_normal

R Documentation

Plot Diagnostics for `hmm_mcmc_normal` Objects

Description

This function creates a variety of diagnostic plots that can be useful when conducting Markov Chain Monte Carlo (MCMC) simulation of a normal hidden Markov model (HMM). These plots will help to assess convergence, fit, and performance of the MCMC simulation

Usage

## S3 method for class 'hmm_mcmc_normal'
plot(
  x,
  simulation = FALSE,
  true_means = NULL,
  true_sd = NULL,
  true_mat_T = NULL,
  true_states = NULL,
  show_titles = TRUE,
  ...
)

Arguments

`x`	(hmm_mcmc_normal) HMM MCMC normal object
`simulation`	(logical) `optional parameter`; default is `simulation=FALSE`, so the input data was empirical. If the input data was simulated, it must be set `simulation=TRUE`.
`true_means`	(numeric) `optional parameter`; true means. To be used if `simulation=TRUE`
`true_sd`	(numeric) `optional parameter`; true standard deviation. To be used if `simulation=TRUE`
`true_mat_T`	(matrix) `optional parameter`; true transition matrix. To be used if `simulation=TRUE`
`true_states`	(integer) `optional parameter`; true states. To be used if `simulation=TRUE`
`show_titles`	(logical) `optional parameter`; if `TRUE` then titles are shown for all graphs. By default, `TRUE`
`...`	not used