Displaying 20 results from an estimated 30000 matches similar to: "Marginal Effects in ordered logit"
2018 Mar 20
0
Struggling to compute marginal effects !
In that case, I can't work out why the first model fails but not the
second. I would start looking at "Data" to see what it contains. if:
object2 <- polr(Inc ~ Training ,Data,Hess = T,method = "logistic" )
works, the problem may be with the "Adopt" variable.
Jim
On Tue, Mar 20, 2018 at 10:55 AM, Willy Byamungu
<wmulimbi at email.uark.edu> wrote:
>
2010 Sep 27
1
Ordered logit with polr won't match SPSS output
I am learning R via a textbook that performs analysis with SPSS and SAS. In
trying to reproduce the results for an ordinal logit model, I get very
similar point estimates for my cut-off points, but the parameters for the
covariate q60 do not match. The estimate for q51 also matches. Is this
because I need to change a base case for the ordered covariate q60? Can this
be done in or is it always the
2011 Aug 27
3
Ordered probit model -marginal effects and relative importance of each predictor-
Hi, I have a problem with the ordered probit model -polr function
(library MASS). My independent variables are countinuos.
I am not able to understand two main points:
a) how to calculate marginal effects
b) how to calculate the relative importance of each independent variables
If required i will attach my model output.
Thanks
Franco
2010 Feb 17
1
Ordered Logit in R
I'm trying to run an ordered logistic regression model. I've run the following code, but the output does not provide the p-values. Is there some command to include the p-values in the output.
reg2 <- polr(trade1 ~ age2 + education2 + personal2 + economy2 + partisan2 + employment2 + union2 + home2 + market2 + race2 + income2)
summary(reg2)
Re-fitting to get Hessian#
Call:
2018 Mar 19
4
Struggling to compute marginal effects !
Dear Oscar,
and any other R-project person,
Can you please help me to figure out the meaning of the following error
message in red ?
Error in eval(predvars, data, env) :
numeric 'envir' arg not of length one
I computed ordered logit models using 'polr' in R (I just followed the
guidance a handout I found on princeton.edu about logit, probit and
multinomial logit models) . The
2007 Jun 07
0
which syntax to use for ordered logit
Hi everybody,
i am like to do a ordered logistic model, but cant figure out which
syntax / library fits best.
i?ve answer possibilites in a matrix (-1 0 1 2 3), these are saved as
factors.
i guess i need something pretty basic. i tried VGAM, polr but
received not what i wanted.
Whicht library / package / syntax woud you prefer ?
thx in advance!
matthias
2004 Mar 24
2
Ordered logit/probit
Hello everyone
I am trying to fit an ordered probit/logit model for bank rating
prediction.
Besides polr() in MASS package which is not written especially for this as
far as I know, do you know how else I can do this?
I already found the modified polr () version on the
Valentin STANESCU
Enrst and Young
Tel. 402 4000
----------------------------------------------------------
The information
2007 May 10
1
Follow-up about ordinal logit with mixtures: how about 'continuation ratio' strategy?
This is a follow up to the message I posted 3 days ago about how to
estimate mixed ordinal logit models. I hope you don't mind that I am
just pasting in the code and comments from an R file for your
feedback. Actual estimates are at the end of the post.
### Subject: mixed ordinal logit via "augmented" data setup.
### I've been interested in estimating an ordinal logit model
2007 May 08
3
ordered logistic regression with random effects. Howto?
I'd like to estimate an ordinal logistic regression with a random
effect for a grouping variable. I do not find a pre-packaged
algorithm for this. I've found methods glmmML (package: glmmML) and
lmer (package: lme4) both work fine with dichotomous dependent
variables. I'd like a model similar to polr (package: MASS) or lrm
(package: Design) that allows random effects.
I was
2011 Mar 01
1
How to understand output from R's polr function (ordered logistic regression)?
I am new to R, ordered logistic regression, and polr.
The "Examples" section at the bottom of the help page for
polr<http://stat.ethz.ch/R-manual/R-patched/library/MASS/html/polr.html>(that
fits a logistic or probit regression model to an ordered factor
response) shows
options(contrasts = c("contr.treatment", "contr.poly"))
house.plr <- polr(Sat ~ Infl +
2011 Apr 11
2
ordered logistic regression - cdplot and polr
Hi,
I have a dataset that I am trying to analyze and plot as an ordered logistic
regression (y = ordinal categories 1-3, x = continuous variable with values
3-9).
First is a problem with cdplot:
Produces a beautiful plot, with the "right" trend, but my independent factor
values are transformed. The factor has values from 3-9, but the plot
produces an x-axis with values from 20-140.
2012 Aug 01
1
optim() for ordered logit model with parallel regression assumption
Dear R listers,
I am learning the MLE utility optim() in R to program ordered logit
models just as an exercise. See below I have three independent
variables, x1, x2, and x3. Y is coded as ordinal from 1 to 4. Y is not
yet a factor variable here. The ordered logit model satisfies the
parallel regression assumption. The following codes can run through,
but results were totally different from what I
2012 Sep 06
0
Logit regression, I observed different results for glm or lrm (Design) for ordered factor variables
Dear useR's,
I was comparing results for a logistic regression model between different
library's.
themodel formula is arranged as follows:
response ~ (intercept) + value + group
OR:
glm( response ~ (intercept) + value + group ,
family=binomial(link='logit'))
lrm( response ~ (intercept) + value + group )
ROC( from = response ~ (intercept) + value + group ,
2006 Jul 19
1
Problem with ordered logistic regression using polr function.
Hi,
I'm trying to fit a ordered logistic regression. The response variable
(y) has three levels (0,1,2).
The command I've used is:
/ordlog<-polr(y~x1+x2+x3+x4, data=finalbase, subset=heard, weight=wt,
na.action=na.omit)
/
(There are no NA's in y but there are NA's in X's)
The error I'm getting is:
/Warning messages:
1: non-integer #successes in a binomial glm! in:
2006 Jul 19
0
Problem with ordered logistic regression using polr function
Hi,
I'm trying to fit a ordered logistic regression. The response variable
(y) has three levels (0,1,2).
The command I've used is:
ordlog<-polr(y~x1+x2+x3+x4, data=finalbase, subset=heard, weight=wt,
na.action=na.omit)
(There are no NA's in y but there are NA's in X's)
The error I'm getting is:
Warning messages:
1: non-integer #successes in a binomial glm! in:
2006 Mar 14
1
Ordered logistic regression in R vs in SAS
I tried the following ordered logistic regression in R:
mod1 <- polr(altitude~sp + wind_dir + wind_speed + hr, data=altioot)
But when I asked The summary of my regression I got the folloing error message:
> summary (mod1)
Re-fitting to get Hessian
Error in optim(start, fmin, gmin, method = "BFGS", hessian = Hess, ...) :
the initial value of 'vmin' is not
2008 May 13
1
How to get predicted marginal (aka predicted mean) after multinomial logistic?
I tried to use the effect() to get predicted marginals for multinomial
logistic as I did for general logistic regression, but failed. Is there
anyway to do that?
Thx!
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2011 Mar 28
0
glm: calculating average marginal effects for dummies
Dear list,
My question to follow is not a pure R question but contains also a
more general statistical/econometrical part, but I was hoping that
perhaps someone knowledgable on this list could offer some help.
I have estimated a binary logistic regression model and would like to
calculate average marginal effects for certain predictors of interest.
The average marginal effect for a continuous
2008 Sep 23
1
Weights for polr
Hello,
I'm estimating an ordered logit model on a probability weighted survey
sample. polr permits case weights with the "weights" option, but I cannot
figure out from existing documentation what it actually does with these
weights. I'm concerned about this because I get somewhat different
results using Stata's ologit command with the pweights option and very
2011 Oct 20
1
effect function in the effects package
Dear r-help listers,
I am using effects to produce an effect plot after the proportional
odds logistic regression model. There is no problem for me to estimate
the model, but when it comes to the graphing, I was stuck. see the
codes below:
##############################################################################
myologit <- polr(factor(warm) ~ yr89 + male + white + age + ed + prst,
+