gghist

Plots a histogram and density estimates using ggplot.

Fit Bayesian time series models using 'Stan' for full Bayesian inference. A wide range
of distributions and models are supported, allowing users to fit Seasonal ARIMA, ARIMAX, Dynamic
Harmonic Regression, GARCH, t-student innovation GARCH models, asymmetric GARCH, Random Walks, stochastic
volatility models for univariate time series. Prior specifications are flexible and explicitly encourage
users to apply prior distributions that actually reflect their beliefs. Model fit can easily be assessed
and compared with typical visualization methods, information criteria such as loglik, AIC, BIC WAIC, Bayes
factor and leave-one-out cross-validation methods. References: Hyndman (2017)
<doi:10.18637/jss.v027.i03>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.

Asael Alonzo Matamoros

bayesforecast

Bayesian Time Series Modeling with Stan

Cristian Cruz Torres

Andres Dala

Rob Hyndman

Mitchell O'Hara-Wild

gghist function

<dl><dt>y</dt>
<dd>a numeric vector or an object of the <code>ts</code> class containing a
stationary time series.</dd>
<dt>title</dt>
<dd>a string with the plot's title.</dd>
<dt>xlab</dt>
<dd>a string with the plot's x axis label. By default a NUll value</dd>
<dt>ylab</dt>
<dd>a string with the plot's y axis label. By default a "counts" value</dd>
<dt>bins</dt>
<dd>The number of bins to use for the histogram. Selected by default
using the Friedman-Diaconis rule.</dd>
<dt>add.normal</dt>
<dd>A boolean value. Add a normal density function for comparison,
by default <code>add.normal = TRUE</code>.</dd></dl>

Arguments

Author

Histogram with optional normal density functions — gghist

<dl>

<dt>y</dt>
<dd>a numeric vector or an object of the <code>ts</code> class containing a
stationary time series.</dd>


<dt>title</dt>
<dd>a string with the plot's title.</dd>


<dt>xlab</dt>
<dd>a string with the plot's x axis label. By default a NUll value</dd>


<dt>ylab</dt>
<dd>a string with the plot's y axis label. By default a "counts" value</dd>


<dt>bins</dt>
<dd>The number of bins to use for the histogram. Selected by default
using the Friedman-Diaconis rule.</dd>


<dt>add.normal</dt>
<dd>A boolean value. Add a normal density function for comparison,
by default <code>add.normal = TRUE</code>.</dd>

</dl>

gghist: Histogram with optional normal density functions

Description

Usage

Value

Arguments

Author

Examples