Hi all,
I am having a problem running the "impute" function from the bnlearn
package.
I have tried running the example in the documentation as follows:
with.missing.data = gaussian.test
with.missing.data[sample(nrow(with.missing.data), 500), "F"] = NA
fitted = bn.fit(model2network("[A][B][E][G][C|A:B][D|B][F|A:D:E:G]"),
gaussian.test)
imputed = impute(fitted, with.missing.data)
Which then returns the error message:
Error: could not find function "impute"
Can you please indicate what I am doing wrong here?
My R version is:
platform x86_64-w64-mingw32
arch x86_64
os mingw32
system x86_64, mingw32
status
major 3
minor 3.1
year 2016
month 06
day 21
svn rev 70800
language R
version.string R version 3.3.1 (2016-06-21)
nickname Bug in Your Hair
My bnlearn version is 4.0.
Many thanks
Ross
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Dear Ross, On 17 March 2017 at 06:25, <ross.chapman at ecogeonomix.com> wrote:> I am having a problem running the "impute" function from the bnlearn > package.I assume you referred to the online documentation instead of the manuals that come with the package? I included impute() in bnlearn 4.1, so you will have to upgrade to use it. Cheers, Marco -- Marco Scutari, Ph.D. Lecturer in Statistics, Department of Statistics University of Oxford, United Kingdom