`R/use_weights.R`

`spec_plot.Rd`

Uses weights computed in `adjust_weights`

to plot posterior
quantities of interest versus specification parameters

spec_plot( x, by, post, only_mean = FALSE, ci_level = 0.8, outer_level = 0.95, ... )

x | An |
---|---|

by | The x-axis variable, which is usually one of the specification
parameters. Can be set to |

post | The posterior quantity of interest, to be computed for each
resampled draw of each specificaiton. Should evaluate to a single number
for each draw. Automatically quoted and evaluated in the context of |

only_mean | Whether to only plot the posterior mean. May be more stable. |

ci_level | The inner credible interval to plot. Central 100*ci_level posterior draws. |

outer_level | The outer credible interval to plot. |

... | Ignored. |

A `ggplot`

object which can be further
customized with the **ggplot2** package.

if (FALSE) { spec = make_spec(eta ~ student_t(df, 0, scale), df=1:10, scale=seq(2, 1, -1/9)) adjusted = adjust_weights(spec, eightschools_m) spec_plot(adjusted, df, theta[1]) spec_plot(adjusted, df, mu, only_mean=TRUE) spec_plot(adjusted, scale, tau) }