Description Usage Arguments Value Examples
This is a utility function to convert the imputed data matrix to a dataframe. This function will be implemented as a RCPP internal function later on.
1 | GetDataFrame(dest, from, cols = 1:NCOL(from))
|
dest |
the imputed output data matrix. |
from |
the original input dataframe. |
cols |
optinal. Always use default for now. |
The returned dataframe object for imputed data.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | require(NPBayesImpute)
#Please use NYexample data set for a more realistic example
data('NYMockexample')
#create the model
model <- CreateModel(X,MCZ,10,10000,0.25,0.25)
#run 1 burnins, 2 mcmc iterations and thin every 2 iterations
model$Run(1,2,2)
#retrieve parameters from the final iteration
result <- model$snapshot
#convert ImputedX matrix to dataframe, using proper factors/names etc.
ImputedX <- GetDataFrame(result$ImputedX,X)
#View(ImputedX)
|
Loading required package: Rcpp
Initializing...
Run model with structural zeros.
iter = 0 kstar = 10 alpha = 0.03 Nmis = 380
iter = 0 kstar = 10 alpha = 2.88893 Nmis = 406
iter = 1 kstar = 10 alpha = 1.66954 Nmis = 424
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