co2multi

Bayes class object with summarized Markov Chain Monte Carlo estimates of plant's CO2 uptake as a binary variable that is above or below the median level

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

co2multi function

<div class="section" id="co-multi">
<h3><code>co2multi</code></h3>
Bayes class list of 7 elements with varying rows and columns in each of the list elements:<dl>
<dt> Posterior.Summary</dt>
<dd>Standard element that is NA in this object because it is not applicable to this analysis.</dd><dt> MCMC</dt>
<dd>Dataframe of 4 combined MCMC chain simulations with 8000 rows and 18 columns. Column 1 is CHAIN
indicates the 4 chains, columns 2-13 are 'theta' and indicates each plant's rate of having above the median
uptake level, columns 14-17 are 'omega' group rates of 'Type' by 'Treatment', and column 18 is the overall group rate.</dd><dt> Multilevel</dt>
<dd>Posterior estimate summaries in alphabetical order of plant or group names and numerical order plant or group rates.</dd><dt> Target</dt>
<dd>Standard element that is NA in this object because it is not applicable to this analysis.</dd><dt> targets</dt>
<dd>Standard element that is NA in this object because it is not applicable to this analysis.</dd><dt> R2.Summary</dt>
<dd>Standard element that is NA in this object because it is not applicable to this analysis.</dd><dt> parameter</dt>
<dd>3 parameter names in the multilevel analysis, 'theta', 'omega', and 'omegaO'.</dd>...</dl></div>

Format

Bayes class object with summarized Markov Chain Monte Carlo estimates of plant's CO2 uptake as a binary variable that is above or below the median level — co2multi

<div class='section' id='co-multi'>
<h3><code>co2multi</code></h3>


Bayes class list of 7 elements with varying rows and columns in each of the list elements:<dl>
<dt> Posterior.Summary</dt>
<dd>Standard element that is NA in this object because it is not applicable to this analysis.</dd>

<dt> MCMC</dt>
<dd>Dataframe of 4 combined MCMC chain simulations with 8000 rows and 18 columns. Column 1 is CHAIN
indicates the 4 chains, columns 2-13 are 'theta' and indicates each plant's rate of having above the median
uptake level, columns 14-17 are 'omega' group rates of 'Type' by 'Treatment', and column 18 is the overall group rate.</dd>

<dt> Multilevel</dt>
<dd>Posterior estimate summaries in alphabetical order of plant or group names and numerical order plant or group rates.</dd>

<dt> Target</dt>
<dd>Standard element that is NA in this object because it is not applicable to this analysis.</dd>

<dt> targets</dt>
<dd>Standard element that is NA in this object because it is not applicable to this analysis.</dd>

<dt> R2.Summary</dt>
<dd>Standard element that is NA in this object because it is not applicable to this analysis.</dd>

<dt> parameter</dt>
<dd>3 parameter names in the multilevel analysis, 'theta', 'omega', and 'omegaO'.</dd>

...

</dl>

</div>

Bayes class object with summarized Markov Chain Monte Carlo estimates of plant's CO2 uptake as a binary variable that is above or below the median level

co2multi: Bayes class object with summarized Markov Chain Monte Carlo estimates of plant's CO2 uptake as a binary variable that is above or below the median level

Description

Usage

Arguments

Format

`co2multi`