co2mcmc

Markov Chain Monte Carlo linear regression estimates of plant's CO2 uptake regressed on ambient carbon dioxide concentrations

datasets

Conducts analyses for healthcare program evaluations or intervention
studies. Calculates regression analyses for standard ordinary least squares
(OLS or linear) or logistic models. Performs regression models used for
causal modeling such as differences-in-differences (DID) and interrupted
time series (ITS) models. Provides limited interpretations of model
results and a ranking of variable importance in models. Performs
propensity score models, top-coding of model outcome variables, and
can return new data with the newly formed variables. Conducts Bayesian
analysis summaries and graphs, decision curve analysis, and produces some
Shewhart control charts. Also performs Cronbach's alpha for various scale
items (e.g., survey questions). See Github URL for examples in the README
file. For more details on the statistical methods, see
Allen & Yen (1979, ISBN:0-8185-0283-5),
Angrist & Pischke (2009, ISBN:9780691120355),
Cohen (1988, ISBN:0-8058-0283-5),
Gebski (2012) <doi:10.1017/S0950268812000179>,
Gelman & Goodrich (2019) <doi:10.1080/00031305.2018.1549100>,
Harrell (2016, ISBN:978-3-319-19424-0),
Kline (1999, ISBN:9780415211581),
Kruschke (2014, ISBN:9780124058880),
Linden (2015) <doi:10.1177/1536867X1501500208>,
Merlo (2006) <doi:10.1136/jech.2004.029454>,
Muthen & Satorra (1995) <doi:10.2307/271070>,
Rabe-Hesketh & Skrondal (2008, ISBN:978-1-59718-040-5),
Ryan (2011, ISBN:978-0-470-59074-4), and
Vickers & Elkin (2006) <doi:10.1177/0272989X06295361>.

Stephen Zuniga

Healthcare Analysis Methods

co2mcmc function

<div class="section" id="co-mcmc">
<h3><code>co2mcmc</code></h3>
MCMC list of 3 chains with 2000 rows and 4 columns in each of the list elements:<dl>
<dt> b0</dt>
<dd>Regression intercept.</dd><dt> b1 </dt>
<dd>Regression coefficient of the carbon dioxide concentration effect.</dd><dt> sigma</dt>
<dd>Square root of model residual variance.</dd><dt> lp__</dt>
<dd>Total log unnormalized joint posterior density of the model parameters.</dd>...</dl></div>

Format

Markov Chain Monte Carlo linear regression estimates of plant's CO2 uptake regressed on ambient carbon dioxide concentrations — co2mcmc

<div class='section' id='co-mcmc'>
<h3><code>co2mcmc</code></h3>


MCMC list of 3 chains with 2000 rows and 4 columns in each of the list elements:<dl>
<dt> b0</dt>
<dd>Regression intercept.</dd>

<dt> b1 </dt>
<dd>Regression coefficient of the carbon dioxide concentration effect.</dd>

<dt> sigma</dt>
<dd>Square root of model residual variance.</dd>

<dt> lp__</dt>
<dd>Total log unnormalized joint posterior density of the model parameters.</dd>

...

</dl>

</div>

co2mcmc: Markov Chain Monte Carlo linear regression estimates of plant's CO2 uptake regressed on ambient carbon dioxide concentrations

Description

Usage

Arguments

Format

`co2mcmc`