dotplotRegime: Draw a plot of covariate-specific time-varying movements

In jongheepark/BridgeChange: Bayesian Change-point models with Bridge prior for analyzing time-series and panel data.

Draw a plot of covariate-specific time-varying movements

Description

Draw a plot of covariate-specific time-varying movements

Usage

dotplotRegime(
  out,
  hybrid = TRUE,
  start = 1,
  cex = 1,
  smooth.beta = TRUE,
  SE = FALSE,
  x.location = c("none", "random", "legend", "default"),
  order.state = 1,
  location.bar = 9,
  distance = 4,
  h = c(255, 330),
  l = c(40, 90),
  text.cex = 1,
  legend.position = "topright",
  pos = 1,
  select = NULL,
  main = "",
  raw = FALSE
)

Arguments

out	output of HMBB
hybrid	If TRUE, DSS results are used for graph. Otherwise, HMBB results are used.
start	Starting value of the time sequence
smooth.beta	If TRUE, probabilistic estimates of hidden states (smooth) are used. Otherwise, discrete state values are used.
SE	If TRUE, draw 95 percent confidence interval.
x.location	x location of covariate name labels. If random, a random value (between min and max of x) is selected. If legend, it will be displayed in the top-right as a legend. If default, the labels will be shown in the above of the last regime estimates.
distance	Distance of text labels from the maximum value of x. Default is 4.
h	hue value in the HCL color description, has to be in [0, 360]. Default is c(255, 330).
l	luminance value in the HCL color description. Default is c(40, 90).
thin	The thinning interval used in the simulation. The number of MCMC iterations must be divisible by this value.
verbose	A switch which determines whether or not the progress of the sampler is printed to the screen. If verbose is greater than 0 the iteration number, the β vector, and the error variance are printed to the screen every verboseth iteration.
degree.normal	A null model for degree correction. Users can choose "NULL", "eigen" or "Lsym." "NULL" is no degree correction. "eigen" is a principal eigen-matrix consisting of the first eigenvalue and the corresponding eigenvector. " Lsym" is a modularity matrix. Default is "eigen."
UL.Normal	Transformation of sampled U. Users can choose "NULL", "Normal" or "Orthonormal." "NULL" is no normalization. "Normal" is the standard normalization. "Orthonormal" is the Gram-Schmidt orthgonalization. Default is "NULL."
v0	v_0/2 is the shape parameter for the inverse Gamma prior on variance parameters for V. If v0 = NULL, a value is computed from a test run of NetworkStatic.
v1	v_1/2 is the scale parameter for the inverse Gamma prior on variance parameters for V. If v1 = NULL, a value is computed from a test run of NetworkStatic.

jongheepark/BridgeChange documentation built on Jan. 12, 2023, 4:48 p.m.