posterior_plot: Function to generate graph posterior density plots for...

In rblimp: Integration of 'Blimp' Software into R

Function to generate graph posterior density plots for parameters

Description

Generates ggplot2::ggplot plots using ggplot2::geom_density based on the output from rblimp

Usage

posterior_plot(model, selector, ...)

Arguments

model	an blimp_obj.
selector	a name of a variable, a name of a parameter, a number of a parameter, or a combination of any of them. If left empty, a plot of all parameters will be returned. See Examples.
...	arguments passed to internally called ggplot2::facet_wrap when used.

Details

To change colors use ggplot2's scale system. Both fill and color are used. See ggplot2::aes_colour_fill_alpha for more information about setting a manual set of colors.

Value

a ggplot2::ggplot plot

Examples

# Generate Data
mydata <- rblimp_sim(
    c(
        'x ~ normal(0, 1)',
        'm ~ normal(0, 1)',
        'y ~ normal(10 + 0.5*x + m + 0.2*x*m, 1)'
    ),
    n = 100,
    seed = 981273
)

# Run Rblimp
m1 <- rblimp(
    c(
        'y ~ x m',
        'x ~~ m'
    ),
    mydata,
    seed = 10972,
    burn = 1000,
    iter = 1000
)

# Generate plot of all parameters with `y`
posterior_plot(m1, 'y') + ggplot2::theme_minimal()

# Generate plot of all parameters
posterior_plot(m1) + ggplot2::theme_minimal()

# Generate plot of all parameters for `y` and `x`
posterior_plot(m1, c('x', 'y')) + ggplot2::theme_minimal()
# Generate Plot of Parameter 5
posterior_plot(m1, 5) + ggplot2::theme_minimal()

# Generate plot of `x residual variance`
posterior_plot(m1, 'x residual variance') + ggplot2::theme_minimal()

# Generate plot of Parameters 7 and 9
posterior_plot(m1, c(7, 9)) + ggplot2::theme_minimal()

rblimp documentation built on May 18, 2026, 9:07 a.m.