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Plot DFM

Source: R/methods.R
plot.dfm.Rd

Plot DFM

Usage

# S3 method for class 'dfm'
plot(
  x,
  method = switch(x$em.method, none = "2s", "qml"),
  type = c("joint", "individual", "residual"),
  scale.factors = TRUE,
  ...
)

# S3 method for class 'dfm'
screeplot(x, ...)

Arguments

x

an object class 'dfm'.

method

character. The factor estimates to use: one of "qml", "2s", "pca" or "all" to plot all estimates.

type

character. The type of plot: "joint", "individual" or "residual".

scale.factors

logical. Standardize factor estimates, this usually improves the plot since the factor estimates corresponding to the greatest PCA eigenvalues tend to have a greater variance than the data.

...

for plot.dfm: further arguments to plot, ts.plot, or boxplot, depending on the type of plot. For screeplot.dfm: further arguments to screeplot.ICr.

Value

Nothing.

See also

dfms-package

Examples

# \donttest{
# Fit DFM with 3 factors and 3 lags in the transition equation
mod <- DFM(diff(BM14_M), r = 3, p = 3)
#> Converged after 26 iterations.
plot(mod)

plot(mod, type = "individual", method = "all")

plot(mod, type = "residual")

# }