Hello R group Do you know if an EM algorithm exits for R to estimate missing data in a sample? I just found knn algorithm in to the package emv but it doesn't look to be the usual EM algorithm. Thanks Xavier -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Not sure if this is what you want: From the help page for the function `em.norm' in the package `norm': EM algorithm for incomplete normal data Description: Performs maximum-likelihood estimation on the matrix of incomplete data using the EM algorithm. Can also be used to find a posterior mode under a normal-inverted Wishart prior supplied by the user. Andy> -----Original Message----- > From: Xavier.Abulker at fimat.com [mailto:Xavier.Abulker at fimat.com] > Sent: Friday, July 26, 2002 11:51 AM > To: r-help at stat.math.ethz.ch > Subject: [R] estimating missing data > > > Hello R group > > Do you know if an EM algorithm exits for R to estimate > missing data in a > sample? > I just found knn algorithm in to the package emv but it > doesn't look to be > the usual EM algorithm. > Thanks > Xavier > > -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-. > -.-.-.-.-.-.-.-.- > r-help mailing list -- Read > http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html > Send "info", "help", or "[un]subscribe" > (in the "body", not the subject !) To: > r-help-request at stat.math.ethz.ch > _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._. > _._._._._._._._._ >------------------------------------------------------------------------------ Notice: This e-mail message, together with any attachments, contains information of Merck & Co., Inc. (Whitehouse Station, New Jersey, USA) that may be confidential, proprietary copyrighted and/or legally privileged, and is intended solely for the use of the individual or entity named in this message. If you are not the intended recipient, and have received this message in error, please immediately return this by e-mail and then delete it. ============================================================================= -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
The knn algorithm imputes the missing value by finding k-closest/similiar (Euclidean or correlation) rows. Should be useful for genetic data whereby genes (rows) that are co-regulated have the similiar expression profiles. ?knn gives you reference to paper that compare this method with SVDimpute and row averages. There is a library called 'missing' in S-PLUS which does EM besides many other fairly involved multiple imputation algorithms. It comes supplied with a 170 page help manual. But I know of no similiar versions in R. Sorry if this isn't very helpful. Adai. ----- Original Message ----- From: <Xavier.Abulker at fimat.com> To: <r-help at stat.math.ethz.ch> Sent: Friday, July 26, 2002 4:50 PM Subject: [R] estimating missing data> Hello R group > > Do you know if an EM algorithm exits for R to estimate missing data in a > sample? > I just found knn algorithm in to the package emv but it doesn't look to be > the usual EM algorithm. > Thanks > Xavier > > -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-> r-help mailing list -- Readhttp://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html> Send "info", "help", or "[un]subscribe" > (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch >_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._. _._>-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._