Displaying 20 results from an estimated 10000 matches similar to: "Help"
2006 Mar 08
3
Multiple logistic regression
Dear R-users,
Is there a function in R that classifies data in more than 2 groups using
logistic regression/classification? I want to compare the c-indices of
earlier research (lrm, binary response variables) with new c-indices
obtained from 'multiple' (more response variables) logistic regression.
Best regards,
Stephanie Delalieux
Department Biosystems
M?-BIORES
Group of Geomatics
2000 Mar 20
3
: multinom()
Dear R users,
Does anyone know if it is possible to use multinom to do a polychotomous
fit using one categorical and one numeric variable as response. The
doc. for multinom states that for formula , response can be K>2 classes.
Is this 2 and more, or as I have understood it only greater than 2. I
have tried fitting my data, but have only encountered error messages.
On another note, Is it
2003 Jan 24
3
Multinomial Logit Models
Hi
I am wanting to fit some multinomial logit models (multinom command in
package nnet)
Is it possible to do any model checking techniques on these models
e.g. residual, leverage etc. I cannot seem to find any commands that
will allow me to do this.
Many thanks
----------------------
L.E.Gross
L.E.Gross at maths.hull.ac.uk
2004 Feb 23
3
library nnet
DeaR useRs:
I am looking for a function which fits a multinomial model and in Baron?s
page I find the function "multinom" in package "nnet" but this package is
deprecated.
I suppose that this function is now in other package but I can't find it.
Can you help me?
Thanks.
2005 Apr 12
1
factors in multinom function (nnet)
Dear All:
I am interested in multinomial logit models (function multinon, library nnet) but I'm having troubles in choose whether to define the predictors as factors or not.
I had posted earlier this example (thanks for the reply ronggui):
worms<- data.frame(year= rep(2000:2004, c(3,3,3,3,3)),age=rep(1:3,5),
2006 Feb 22
2
does multinomial logistic model from multinom (nnet) has logLik?
I want to get the logLik to calculate McFadden.R2 ,ML.R2 and
Cragg.Uhler.R2, but the value from multinom does not have logLik.So my
quetion is : is logLik meaningful to multinomial logistic model from
multinom?If it does, how can I get it?
Thank you!
ps: I konw VGAM has function to get the multinomial logistic model
with logLik, but I prefer use the function from "official" R
2008 Aug 11
1
checking if multinom converged
Is anyone aware of a way to check whether multinom has converged by
checking a component of the output ? I'm
not familar with nnet but, since multinom calls nnet , maybe there is an
extra argument once can send to multinom to capture this
information. Thanks.
2005 Apr 13
2
multinom and contrasts
Hi,
I found that using different contrasts (e.g.
contr.helmert vs. contr.treatment) will generate
different fitted probabilities from multinomial
logistic regression using multinom(); while the fitted
probabilities from binary logistic regression seem to
be the same. Why is that? and for multinomial logisitc
regression, what contrast should be used? I guess it's
helmert?
here is an example
2019 Jul 18
2
predict multinomial model con nnet
Hola todos
Cuando realizo las predicciones del modelo multinomial con el paquete nnet,
estas cambian cada vez que lo ejecuto ... saben por qué pasa esto ??
Gracias por la ayuda.
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2005 Nov 30
1
multinom crashes (when I do something stupid) (PR#8358)
Full_Name: Rob Foxall
Version: 2.2.0
OS: Windows XP
Submission from: (NULL) (149.155.96.5)
I was using multinom from nnet package, when I did something stupid -- I entered
in an incorrect factor variable as response. This factor had only one level.
Instead of R telling me not to be so dumb, it crashed, clicking on debug coming
up with the message "An exception 'Unhandled Win32
2009 Feb 16
2
Using eval in multinom argument
Hi,
I am having difficulty entering a 'programmable' argument into the multinom function from the nnet package. Interactively, I can get the function to work fine by calling it this way:
z1=multinom(formula = class.ind(grp[-outgroup])~ (PC1 + PC2 + PC3), data=data.frame(scores))
However I need to be able to change the number of variables I am looking for in 'scores' and so am
2006 Sep 10
2
formatting data to be analysed using multinomial logistic regression (nnet)
I am looking into using the multinomial logistic regression option in the
nnet library and have two questions about formatting the data.
1. Can data be analysed in the following format or does it need to be
transformed into count data, such as the housing data in MASS?
Id Crime paranoia hallucinate toc disorg crimhist age
1 2 1 0 1 0 1 25
2 2 0 1 1 1 1 37
3 1 1 0 1 1 0 42
4 3 0
2007 Mar 25
2
resolving expand.grid & NA errors
I am hoping for some advice regarding resolving error messages I have
received when trying to use the expand.grid command.
library(nnet)
library(MASS)
library(car)
mod.multacute <-multinom(kc$group ~ kc$in.acute.danger *
kc$violent.convictions, na.rm=T)
summary(mod.multacute, cor=F, Wald=T)
Anova (mod.multacute)
confint (mod.multacute)
> predictors <- expand.grid(group=1:3,
2008 Jun 20
1
omnibus LR in multinomial model
If one estimates a model using multinom, is it possible to perform the
omnibus LR test ( the analogue to omnibus F in linear models ) using
the output
from multinom ? The residual deviance is there but I was hoping I could
somehow pull out the deviance based on just using an intercept ?
Sample code is below from the CAR book but I wasn't sure how to do it
based on that example. Thanks
2001 Dec 12
2
Output from the multinom-function
Hello folks,
Let me first apologize: I'm not a professional nor a
mathematician, just an ordinary guy, fooling around
with the excellent R-package. I know the basic
principles behind statistics, but haven't read
anything more advanced than the ordinary first
probability and statistics courses.
Enough disclaimers? Good! I was examining the
multinom-function (in the nnet-package) the other
2006 Jun 27
1
weights in multinom
Best R Help,
I like to estimate a Multinomial Logit Model with 10 Classes. The
problem is that the number of observations differs a lot over the 10
classes:
Class | num. Observations
A | 373
B | 631
C | 171
D | 700
E | 87
F | 249
G | 138
H | 133
I | 162
J | 407
Total: 3051
Where my data looks like:
x1 x2 x3 x4 Class
1 1,02 2 1 A
2 7,2 1 5 B
3 4,2 1 4 H
1 4,1 1 8 F
2 2,4 3 7 D
1 1,2 0 4 J
2 0,9
2005 May 13
1
multinom(): likelihood of model?
Hi all,
I'm working on a multinomial (or "polytomous") logistic regression
using R and have made great progress using multinom() from the nnet
library. My response variable has three categories, and there are two
different possible predictors. I'd like to use the likelihoods of
certain models (ie, saturated, fitteds, and null) to calculate
Nagelkerke R-squared values for
2005 Jul 08
1
explained deviance in multinom
Hi:
I'm working with multinomial models with library nnet, and I'm trying to get the explained deviance (pseudo R^2) of my models.
I am assuming that:
pseudo R^2= 1 - dev(model) / dev (null)
where dev(model) is the deviance for the fitted model and dev(null) is the deviance for the null model (with the intercept only).
library(nnet)
full.model<- multinom(cbind(factor1,
2009 Jun 13
1
Insignificant variable improves AIC (multinom)?
Hi,
I am trying to specify a multinomial logit model using the multinom function from the nnet package. Now I add another independent variable and it halves the AIC as given by summary(multinom()). But when I call Anova(multinom()) from the car package, it tells me that this added variable is insignificant (Pr(>Chisq)=0.39). Thus, the improved AIC suggests to keep the variable but the Anova
2010 Jun 06
2
fitting multinomial logistic regression
Sir,
I want to fit a multinomial logistic regression in R.I think mlogit() is the
function for doing this. mlogit () is in packege globaltest.But, I can not
install this package. I use the following:
install.packages("globaltest")
Can you help me?
Regards,
Suman Dhara
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