search for: nomial

Hello, I want to start testing using the MNP probit function in stead of the lrm function in my current experiment. I have one dependant label and two independent varaibles. The lrm is simple model <- lrm(label ~ val1 + val2) I tried the same thing with the mnp function and got an error that I don't understand model <- mnp(label ~ val1 + val2) I get back an immediate error that

Hi, Just wonder if someone could comment on using linear discriminant analysis (LDA) vs. multinomial logistic regression in multi-class classification/prediction (nomial dependent variable, not ordinal)? What kind of difference in results can I expect from the 2 methods, which is better or more appropriate, or under what condiditon should I used one instead of the other? And is there other methods...

Hi all, I previously emailed about a multinomial model, and after seeking some additional help, realized that since my response/outcome variables are not mutually exclusive, I need to use a multi-response model that is *not* multinomial. I'm now trying to figure out how to specify the priors on the multi-response model. Any help would be much...

...d is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, May 1, 2018 at 2:15 PM, Michelle Kline <michelle.ann.kline at gmail.com> wrote: > Hi all, > > I previously emailed about a multinomial model, and after seeking some > additional help, realized that since my response/outcome variables are not > mutually exclusive, I need to use a multi-response model that is *not* > multinomial. I'm now trying to figure out how to specify the priors on the > multi-response model. An...

Greetings, I have two matrices, read in from raster data stored in GRASS. Each matrix represents the output of a aggregation process on categorical data (Nomial / Ordinal) - derived from imagery. I have compared these two data by the following methods: ***** pretending the data is continuous approaches (flawed i am sure...) 1. computing a difference map by computing the absolute difference (cell-by-cell) between the two outputs 2. simple linear regres...

Hi, I am running a simple one-way ANOVA with an independent factot variable "treat" (3 levels: a, b and c) and a response variable "y". I want to test a linear relationship of the response among the 3 levels of the variable "treat" (ordered a->b->c). I used glht() from multcomp package. Later I found out I need to exclude the situation where the response at the

...- network-level fault tolerance with Automatic Path Migration (APM) for tolerating intermittent network failures over InfiniBand. - New Support for QLogic InfiniPath adapters - high-performance point-to-point communication - optimized collectives (MPI_Bcast and MPI_Barrier) with k-nomial algorithms while exploiting multi-core architecture - Optimized and high-performance ADIO driver for Lustre - This MPI-IO support is a contribution from Future Technologies Group, Oak Ridge National Laboratory. (http://ft.ornl.gov/doku/doku.php?id=ft:pio:start) - Perfo...

...sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > > On Tue, May 1, 2018 at 2:15 PM, Michelle Kline > <michelle.ann.kline at gmail.com> wrote: > > Hi all, > > > > I previously emailed about a multinomial model, and after seeking some > > additional help, realized that since my response/outcome variables are > not > > mutually exclusive, I need to use a multi-response model that is *not* > > multinomial. I'm now trying to figure out how to specify the priors on > the >...