[R] logistic regression packages
Hi All: I'm testing a set of data classification algorithms in this paper (www.stat.wisc.edu/~loh/treeprogs/quest1.7/mach1317.pdf ) I couldn't find such algorithms in R packages: 1. LOG: polytomous logistic regression (there was one in MASS library: multinom. But after I update MASS library, multinom was lost.) 2. POL: POLYCLASS algorithm. There is a S-Plus package(polyclass library) for this algorithm, so there should be a corresponding package in R, but I haven't found it so far. Any advice is appreciated. Best, Feng __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] logistic regression packages
1. multinom is is the nnet package 2. There is a polyclass function in package polspline On 10/01/07, Feng Qiu [EMAIL PROTECTED] wrote: Hi All: I'm testing a set of data classification algorithms in this paper (www.stat.wisc.edu/~loh/treeprogs/quest1.7/mach1317.pdf ) I couldn't find such algorithms in R packages: 1. LOG: polytomous logistic regression (there was one in MASS library: multinom. But after I update MASS library, multinom was lost.) 2. POL: POLYCLASS algorithm. There is a S-Plus package(polyclass library) for this algorithm, so there should be a corresponding package in R, but I haven't found it so far. Any advice is appreciated. Best, Feng __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- = David Barron Said Business School University of Oxford Park End Street Oxford OX1 1HP -- = David Barron Said Business School University of Oxford Park End Street Oxford OX1 1HP __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] logistic regression packages
Hi David: Thanks for you information. 2 further questions: 1. I found out that multinom is not doing politomous logistic regression, do you know which function does this? 2. the polyclass in polspline does polychotomous regression, while I'm looking for polytomous regression. Do you think these two are similar int erms of prediction? Best, Feng - Original Message - From: David Barron [EMAIL PROTECTED] To: r-help r-help@stat.math.ethz.ch Sent: Wednesday, January 10, 2007 12:14 PM Subject: Re: [R] logistic regression packages 1. multinom is is the nnet package 2. There is a polyclass function in package polspline On 10/01/07, Feng Qiu [EMAIL PROTECTED] wrote: Hi All: I'm testing a set of data classification algorithms in this paper (www.stat.wisc.edu/~loh/treeprogs/quest1.7/mach1317.pdf ) I couldn't find such algorithms in R packages: 1. LOG: polytomous logistic regression (there was one in MASS library: multinom. But after I update MASS library, multinom was lost.) 2. POL: POLYCLASS algorithm. There is a S-Plus package(polyclass library) for this algorithm, so there should be a corresponding package in R, but I haven't found it so far. Any advice is appreciated. Best, Feng __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- = David Barron Said Business School University of Oxford Park End Street Oxford OX1 1HP -- = David Barron Said Business School University of Oxford Park End Street Oxford OX1 1HP __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
