Displaying 8 results from an estimated 8 matches for "nomial".
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nominal
2009 Aug 31
1
Probit function
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
2005 Apr 11
1
multi-class modeling
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...
2018 May 01
2
Specifying priors in a multi-response MCMCglmm
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...
2018 May 01
0
Specifying priors in a multi-response MCMCglmm
...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...
2006 Nov 07
0
evaluation of 2 matrices: categorical comparison
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...
2008 Jan 18
1
how to specify a particular contrast
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
2008 Feb 29
0
[Fwd: [ofa-general] Announcing the release of MVAPICH 1.0]
...- 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...
2018 May 01
2
Specifying priors in a multi-response MCMCglmm
...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
>...