diagnostic-plots | R Documentation |

Diagnostic plots for distributions of residuals.

```
qqdist(draws, ...)
AcfDist(draws, lag.max = NULL, xlab = "Lag", ylab = "Autocorrelation", ...)
```

`draws` |
A matrix of Monte Carlo draws of residual errors. Each row is a Monte Carlo draw, and each column is an observation. In the case of AcfDist successive observations are assumed to be sequential in time. |

`lag.max` |
The number of lags to plot in the autocorrelation
function. See |

`xlab` |
Label for the horizontal axis. |

`ylab` |
Label for the vertical axis. |

`...` |
Extra arguments passed to either |

`qqdist`

sorts the columns of `draws`

by their mean, and
plots the resulting set of curves against the quantiles of the
standard normal distribution. A reference line is added, and the mean
of each column of draws is represented by a blue dot. The dots and
the line are the transpose of what you get with `qqnorm`

and `qqline`

.

`AcfDist`

plots the posterior distribution of the autocorrelation
function using a set of side-by-side boxplots.

```
data(AirPassengers)
y <- log(AirPassengers)
ss <- AddLocalLinearTrend(list(), y)
ss <- AddSeasonal(ss, y, nseasons = 12)
model <- bsts(y, ss, niter = 500)
r <- residuals(model)
par(mfrow = c(1,2))
qqdist(r) ## A bit of departure in the upper tail
AcfDist(r)
```

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