Description Usage Arguments Details Value Author(s) References Examples
Combines results of analyses on multiply imputed data sets using a mixture of normal distributions.
1 2 3 |
results |
A list of results from inference on separate imputed datasets |
variances |
If |
weights |
A vector of weights for each imputed dataset. The default is to use equal weights. |
percentiles |
A vector of percentiles to be returned from the mixture summary distribution. The default is to return the 2.5th, 50th, and 97.5th percentiles. |
... |
Other arguments, not used |
This function combines results of analyses on multiply imputed data sets using a mixture of normal distributions according
to the approach described in Steele, R.J., Wang, N., and Raftery A.E. (2009). This package contains a generic
function default method, although other methods may be available in future releases. The
results
argument in the default method may be either a list of
parameter vectors or a list of objects that have coef
and
vcov
methods. In the former case a list of variance-covariance
matrices must be supplied as the second argument. This corresponds to the same
structure that is used by MIcombine
in the mitools
package.
An list containing the desired percentiles from the mixture summary distribution.
Russell Steele, steele@math.mcgill.ca
Steele, R.J., Wang N., and Raftery, A.E. (2009) Inference from Multiple Imputation for Missing Data Using Mixtures of Normals Sociological Methodology Accepted.
1 | ### See help(diaph.data) for example
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