.build_model_with_floor

Takes a Stan program as a single string and replaces the declaration
of the scalar constant <code>FLOOR</code> with a user supplied numeric
value, then compiles it as a CmdStanR model with threading enabled.

internal

Provides tools for fitting bivariate hurdle negative binomial
models with horseshoe priors, Bayesian Model Averaging (BMA) via stacking,
and comprehensive causal inference methods including G-computation,
transfer entropy, Threshold Vector Autoregressive (TVAR) and Smooth
Transition Autoregressive (STAR) models, Dynamic Bayesian Networks (DBN),
Hidden Markov Models (HMM), and sensitivity analysis.

José Mauricio Gómez Julián

bivarhr

Bivariate Hurdle Regression with Bayesian Model Averaging

.build_model_with_floor function

<dl><dt>stan_code</dt>
<dd>Character string containing the Stan program. It
must include a line of the form <code>real FLOOR = ...;</code> that will
be replaced.</dd>
<dt>floor_value</dt>
<dd>Numeric scalar used to set the constant
<code>FLOOR</code> in the generated Stan code.</dd></dl>

Arguments

Build CmdStan model with custom FLOOR constant — .build_model_with_floor

<dl>

<dt>stan_code</dt>
<dd>Character string containing the Stan program. It
must include a line of the form <code>real FLOOR = ...;</code> that will
be replaced.</dd>


<dt>floor_value</dt>
<dd>Numeric scalar used to set the constant
<code>FLOOR</code> in the generated Stan code.</dd>

</dl>

.build_model_with_floor: Build CmdStan model with custom FLOOR constant

Description

Usage

Value

Arguments

Details