impute: Imputation wrapper
In bayesCT: Simulation and Analysis of Adaptive Bayesian Clinical Trials
Description
Usage
Arguments
Value
Examples
Description
Wrapper function for no_of_impute.
Usage
1
Arguments
no_of_impute
integer. Number of Monte Carlo imputation for missing
data.
number_mcmc
scalar. Number of Monte Carlo Markov Chain draws from
posterior distribution.
.data
NULL. This should not be changed by the user.
Value
a list with number of imputation
Examples
1
impute(no_of_impute = 100, number_mcmc = 1000)
bayesCT documentation built on July 2, 2020, 2:34 a.m.
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Description Usage Arguments Value Examples
Description
Wrapper function for no_of_impute.
Usage
1 |
Arguments
no_of_impute |
integer. Number of Monte Carlo imputation for missing data. |
number_mcmc |
scalar. Number of Monte Carlo Markov Chain draws from posterior distribution. |
.data |
NULL. This should not be changed by the user. |
Value
a list with number of imputation
Examples
1 | impute(no_of_impute = 100, number_mcmc = 1000)
|
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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