climateIndices

Monthly atmospheric and oceanic climate indices used as external predictors
in the Big Trees streamflow examples. Values are stored on their original
scales; examples that combine indices standardize the relevant columns within
the analysis code.

datasets

Bayesian quantile-regression routines for dynamic state-space
models and static regression under the extended asymmetric Laplace
(exAL) error distribution. The dynamic state-space models are extended
dynamic quantile linear models (exDQLMs). The package combines dynamic
exDQLM inference via LDVB, MCMC, and legacy ISVB with static exAL
regression via LDVB and MCMC, reduced AL/DQLM paths through fixed
skewness, component builders for trend/seasonality/regression blocks,
static shrinkage priors including ridge, regularized horseshoe, and
'rhs_ns', evidence lower bound diagnostics, optional C++ accelerators,
and posterior predictive synthesis across separately fitted quantiles
through 'quantileSynthesis()'. Dynamic exDQLM methods are described in
Barata et al. (2020) <doi:10.1214/21-AOAS1497>.

Raquel Barata

exdqlm

Extended Dynamic Quantile Linear Models

Raquel Prado

Bruno Sanso

Antonio Aguirre

climateIndices function

A data frame with 516 rows and 3 variables:<dl>
<dt>date</dt>
<dd>First day of the calendar month.</dd><dt>noi</dt>
<dd>Northern Oscillation Index.</dd><dt>amo</dt>
<dd>Atlantic Multidecadal Oscillation index.</dd>
</dl>The data frame spans January 1980 through December 2022.

Format

Monthly climate indices for streamflow examples — climateIndices

A data frame with 516 rows and 3 variables:<dl>
<dt>date</dt>
<dd>First day of the calendar month.</dd>

<dt>noi</dt>
<dd>Northern Oscillation Index.</dd>

<dt>amo</dt>
<dd>Atlantic Multidecadal Oscillation index.</dd>


</dl>The data frame spans January 1980 through December 2022.

climateIndices: Monthly climate indices for streamflow examples

Description

Usage

Arguments

Format