plot_beta: Plot beta posterior distribution
In hdpGLM: Hierarchical Dirichlet Process Generalized Linear Models

plot_beta

R Documentation

Plot beta posterior distribution

Description

Plot the posterior distribution of the linear parameters beta for each context

Usage

plot_beta(
  samples,
  X = NULL,
  context.id = NULL,
  true.beta = NULL,
  title = NULL,
  subtitle = NULL,
  plot.mean = FALSE,
  plot.grid = FALSE,
  showKhat = FALSE,
  col = NULL,
  xlab.size = NULL,
  ylab.size = NULL,
  title.size = NULL,
  legend.size = NULL,
  xtick.distance = NULL,
  left.margin = 0,
  ytick.distance = NULL,
  col.border = "white"
)

Arguments

`samples`	an output of the function `hdpGLM`
`X`	a string vector with the name of the first-level covariates whose associated tau should be displayed
`context.id`	string with the name of the column containing the labels identifying the contexts. This variable should have been specified when the estimation was conducted using the function `hdpGLM`.
`true.beta`	a `data.frame` with the true values of the linear coefficients `beta` if they are known. The `data.frame` must contain a column named `j` with the index of the context associated with that particular linear coefficient `beta`. It must match the indexes used in the data set for each context. Another column named `k` must be provided, indicating the cluster of `beta`, and a column named `Parameter` with the name of the linear coefficients (`beta1`, `beta2`, ..., `beta_dx`, where `dx` is the number of covariates at the individual level, and beta1 is the coefficient of the intercept term). It must contain a column named `True` with the true value of the `betas`. Finally, the `data.frame` must contain columns with the context-level covariates as used in the estimation of the hdpGLM function (see Details below).
`title`	string, title of the plot
`subtitle`	string, the subtitle of the plot
`plot.mean`	boolean, if `TRUE` the posterior mean of every cluster is displayed
`plot.grid`	boolean, if `TRUE` a grid is displayed in the background
`showKhat`	boolean, if `TRUE` a message with the number of estimated clusters by context is displayed
`col`	string, color of the densities
`xlab.size`	numeric, size of the breaks in the x-axis
`ylab.size`	numeric, size of the breaks in the y-axis
`title.size`	numeric, size of the title
`legend.size`	numeric, size of the legend
`xtick.distance`	numeric, distance between x-axis marks and bottom of the figure
`left.margin`	numeric, distance between left margin and left side of the figure
`ytick.distance`	numeric, distance between y-axis marks and bottom of the figure
`col.border`	string, color of the border of the densities