prop_nna: Calculates the posterior beta components for a single...
In miceafter: Data and Statistical Analyses after Multiple Imputation
prop_nna R Documentation
Calculates the posterior beta components for a
single proportion
Description
prop_nna Calculates the posterior beta components
for a single proportion (assuming noninformative prior).
Usage
prop_nna(x, data)
Arguments
x
name of variable to calculate proportion.
data
An object of class 'mistats' ('Multiply Imputed
Statistical Analysis').
Value
The posterior beta components.
Author(s)
Martijn Heymans, 2021
References
Raghunathan, T. (2016). Missing Data Analysis in Practice.
Boca Raton, FL: Chapman and Hall/CRC. (paragr 4.6.2)
See Also
with.milist, pool_prop_nna
Examples
imp_dat <- df2milist(lbpmilr, impvar='Impnr')
ra <- with(imp_dat, expr=prop_nna(Radiation))
miceafter documentation built on Oct. 2, 2022, 5:08 p.m.
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| prop_nna | R Documentation |
Calculates the posterior beta components for a single proportion
Description
prop_nna Calculates the posterior beta components
for a single proportion (assuming noninformative prior).
Usage
prop_nna(x, data)
Arguments
x |
name of variable to calculate proportion. |
data |
An object of class 'mistats' ('Multiply Imputed Statistical Analysis'). |
Value
The posterior beta components.
Author(s)
Martijn Heymans, 2021
References
Raghunathan, T. (2016). Missing Data Analysis in Practice. Boca Raton, FL: Chapman and Hall/CRC. (paragr 4.6.2)
See Also
with.milist, pool_prop_nna
Examples
imp_dat <- df2milist(lbpmilr, impvar='Impnr') ra <- with(imp_dat, expr=prop_nna(Radiation))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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