rtmvnorm

Truncated multivariate normal sampler, mean mu, cov sigma, truncated (0, Inf)

Estimation of distributed lag models (DLMs) based on a Bayesian additive regression trees framework. Includes several extensions of DLMs: treed DLMs and distributed lag mixture models (Mork and Wilson, 2023) <doi:10.1111/biom.13568>; treed distributed lag nonlinear models (Mork and Wilson, 2022) <doi:10.1093/biostatistics/kxaa051>; heterogeneous DLMs (Mork, et. al., 2024) <doi:10.1080/01621459.2023.2258595>; monotone DLMs (Mork and Wilson, 2024) <doi:10.1214/23-BA1412>. The package also includes visualization tools and a 'shiny' interface to check model convergence and to help interpret results.

Daniel Mork

dlmtree

Bayesian Treed Distributed Lag Models

Seongwon Im

Ander Wilson

rtmvnorm function

<dl><dt>mu</dt>
<dd>vector of mean parameters</dd>
<dt>sigma</dt>
<dd>covariance matrix</dd>
<dt>iter</dt>
<dd>number of iterations</dd></dl>

Arguments

Truncated multivariate normal sampler, mean mu, cov sigma, truncated (0, Inf) — rtmvnorm

<dl>

<dt>mu</dt>
<dd>vector of mean parameters</dd>


<dt>sigma</dt>
<dd>covariance matrix</dd>


<dt>iter</dt>
<dd>number of iterations</dd>

</dl>

rtmvnorm: Truncated multivariate normal sampler, mean mu, cov sigma, truncated (0, Inf)

Description

Usage

Value

Arguments