brmsfit_needs_refit

Old <code>brmsfit</code> object (e.g., loaded from file).

New Stan data (result of a call to <code><a rd-options="" href="/link/make_standata?package=brms&version=2.15.0" data-mini-rdoc="brms::make_standata">make_standata</a></code>).
Pass <code>NULL</code> to avoid data check.

sdata

New Stan code (result of a call to <code><a rd-options="" href="/link/make_stancode?package=brms&version=2.15.0" data-mini-rdoc="brms::make_stancode">make_stancode</a></code>).
Pass <code>NULL</code> to avoid code check.

scode

New algorithm. Pass <code>NULL</code> to avoid algorithm check.

algorithm

Logical. If <code>TRUE</code>, no messages will be given.

silent

Logical. If <code>TRUE</code> detailed report of the differences 
is printed to the console.

verbose

Checks whether a given cached fit can be used without refitting when 
<code>file_refit = "on_change"</code> is used.
This function is internal and exposed only to facilitate debugging problems 
with cached fits. The function may change or be removed in future versions
and scripts should not use it.

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>; B<c3><bc>rkner (2018) <doi:10.32614/RJ-2018-017>;
Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.

PaulChristian Buerkner

brms

Bayesian Regression Models using 'Stan'

Paul-Christian B<c3><bc>rkner

Jonah Gabry

Sebastian Weber

Andrew Johnson

Martin Modrak

brmsfit_needs_refit function

New Stan data (result of a call to <code><a rd-options='' href='make_standata'>make_standata</a></code>).
Pass <code>NULL</code> to avoid data check.

New Stan code (result of a call to <code><a rd-options='' href='make_stancode'>make_stancode</a></code>).
Pass <code>NULL</code> to avoid code check.

brmsfit_needs_refit: Check if cached fit can be used.

Description

Usage

Arguments

Value

Details