cor_bsts

<p>A one sided formula of the form <code>~ t</code>, or <code>~ t | g</code>,
specifying a time covariate <code>t</code> and, optionally, a grouping factor
<code>g</code>. A covariate for this correlation structure must be integer
valued. When a grouping factor is present in <code>formula</code>, the
correlation structure is assumed to apply only to observations within the
same grouping level; observations with different grouping levels are
assumed to be uncorrelated. Defaults to <code>~ 1</code>, which corresponds to
using the order of the observations in the data as a covariate, and no
groups.</p>

formula

<p>The BSTS correlation structure is no longer supported.</p>

internal

Fit Bayesian generalized (non-)linear multivariate multilevel models
using 'Stan' for full Bayesian inference. A wide range of distributions
and link functions are supported, allowing users to fit -- among others --
linear, robust linear, count data, survival, response times, ordinal,
zero-inflated, hurdle, and even self-defined mixture models all in a
multilevel context. Further modeling options include non-linear and
smooth terms, auto-correlation structures, censored data, meta-analytic
standard errors, and quite a few more. In addition, all parameters of the
response distribution can be predicted in order to perform distributional
regression. 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 posterior predictive
checks and leave-one-out cross-validation. References: B<c3><bc>rkner (2017)
<doi:10.18637/jss.v080.i01>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.

cor_bsts: (Defunct) Basic Bayesian Structural Time Series

Description

Usage

Arguments