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Multivariate Imputation by Chained Equations
When using mice multiple imputation to generate multiple imputed sets and then running a model on each one of them (like elastic-net from the `glmnet` package) and then pooling the...
It seems some strange things happen with environments when parlmice is wrapped in a function, e.g. ```R library(mice) test.parlmice
Might be interesting to include since it comes up as a request quite often. ### What `mice.impute.pmm.exclude` excludes observed values or a vector of observed values from matching. Hence, these...
In connection to #378 I came across the following error ``` r suppressPackageStartupMessages(library(mice)) mice(nhanes, blocks = list(c("bmi", "hyp"), "chl"), defaultMethod = c("jomoImpute", "logreg", "polyreg", "polr")) #> #> iter imp variable...
There seems to be a reporting inconsistency when the `predictorMatrix` after imputation seems to indicate that a variable is included as a predictor, while `remove.lindep()` has effectively removed it. This...
Hello and thanks so much for all the work you do on mice. Following the setup from the multilevel mice vignette, I was able to get single-core mice to run...
When I running `mice`, it will using all cores of cpu. Can I special the number of parallel cores? The `n.core` can be used in `parlmice`, but this parameter doesn't...
I have been able to rotate the label names, but would like to scale the x axis to make the numbers readable. Does anyone know if this is possible? `mice...
Hi there, I have use MICE to do the imputation. As the dataset we use has many variables, I try to use a dot in the glm function to include...
Somewhere is `mice` I stated that ```r #' @note The \code{mice} package does not use #' the S4 class definitions, and instead relies on the S3 list #' equivalent \code{oldClass(obj)