plot-methods: Plot methods.

In biips/rbiips: Bayesian Inference with Interacting Particle Systems

Description

Plot methods.

Usage

## S3 method for class 'density.smcarray.fsb.univariate'
plot(x, type = "l", col = 1:6,
  pch = NULL, lwd = NULL, lty = NULL, main = NULL, xlab = NULL,
  ylab = "Density", xlim = range(unlist(lapply(x, function(x) x$x))),
  ylim = c(0, max(unlist(lapply(x, function(x) x$y)))), ...)

## S3 method for class 'table.smcarray.fsb.univariate'
plot(x, type = "h", col = 1:6,
  pch = NULL, lwd = 2, lty = NULL, main = NULL, xlab = NULL,
  ylab = "Probability", xlim, ylim = c(0, max(unlist(x))), width = 0.1,
  ...)

## S3 method for class 'density.smcarray'
plot(x, main = NULL, xlab = NULL,
  ylab = "Density", ...)

## S3 method for class 'table.smcarray'
plot(x, main = NULL, xlab = NULL,
  ylab = "Probability", ...)

## S3 method for class 'density.smcarray.fsb'
plot(x, main = NULL, xlab = NULL,
  ylab = "Density", ...)

## S3 method for class 'table.smcarray.fsb'
plot(x, main = NULL, xlab = NULL,
  ylab = "Probability", ...)

## S3 method for class 'density.smcarray.fsb.list'
plot(x, main = NULL, xlab = NULL,
  ylab = "Density", ...)

## S3 method for class 'table.smcarray.fsb.list'
plot(x, main = NULL, xlab = NULL,
  ylab = "Probability", ...)

## S3 method for class 'table.mcmcarray'
plot(x, main = NULL, xlab = NULL,
  ylab = "Probability", ...)

## S3 method for class 'density.mcmcarray.univariate'
plot(x, type = "l",
  main = x$data.name, ...)

## S3 method for class 'density.mcmcarray'
plot(x, main = NULL, xlab = NULL, ...)

## S3 method for class 'histogram.mcmcarray'
plot(x, main = NULL, xlab = NULL, ...)

## S3 method for class 'table.mcmcarray.list'
plot(x, main = NULL, xlab = NULL, ...)

## S3 method for class 'density.mcmcarray.list'
plot(x, main = NULL, xlab = NULL,
  ylab = "Density", ...)

## S3 method for class 'histogram.mcmcarray.list'
plot(x, main = NULL, xlab = NULL, ...)

Arguments

x	a density object.
type, col, pch, lwd, lty	plotting parameters with useful defaults.
main, xlab, ylab	plotting parameters with useful defaults.
xlim, ylim	plotting parameters with useful defaults.
...	further plotting parameters. See plot.density, plot.histogram, plot.table
width	real. width of spacing for bars at the same value.

Value

NULL

See Also

plot.density, plot.histogram, plot.table

Examples

#' # SMC algorithm
data(out_smc)
par(mfrow = c(2, 2))
plot(biips_density(out_smc$x, bw = 'nrd0', adjust = 1, n = 100))
plot(biips_table(out_smc[['c[2:10]']]))
plot(biips_density(out_smc$x$f))
plot(biips_table(out_smc[['c[2:10]']]$f))

#' # PIMH algorithm
data(out_pimh)
par(mfrow = c(2, 2))
plot(biips_density(out_pimh$x))
plot(biips_table(out_pimh[['c[2:10]']]))

#' # PMMH algorithm
data(out_pmmh)
plot(biips_density(out_pmmh$logtau))
par(mfrow = c(2, 2))
plot(biips_density(out_pmmh$x))
plot(biips_table(out_pmmh[['c[2:10]']]))

biips/rbiips documentation built on Nov. 28, 2020, 2:12 p.m.