Displaying 20 results from an estimated 34 matches for "zelig".

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2007 May 26

1

How to get the "Naive SE" of coefficients from the zelig output

Dear R-user:
After the fitting the Tobit model using zelig, if I use the following command then I can get the regression coefficents:
beta=coefficients(il6.out)
> beta
(Intercept) apache
4.7826 0.9655
How may I extract the "Naive SE" from the following output please?
> summary(il6w.out)
Call:
zelig(formula = il6.data$il6...

2009 Feb 19

0

Zelig method setx()

Hello,
I am attempting to "automate" a Bayesian normal linear regression
using Zelig. Basically, I have a list containing several zelig()
objects, each having a different formula, same data set, and same
model (normal.bayes).
My problem lies in the setx() method, where I am setting a numeric
parameter to a value other than the mean. This is straightforward if
I input the paramet...

2011 Jul 06

0

matching, treatment effect-ATT and Zelig package

Hi there,
I'm wondering what Zelig in the following situation (code below) actually does. Is this considered as a so called regression adjustment after the propensity score matching?
library(MatchIt)
library(Zelig)
data(lalonde)
re78 represents the outcome variable
1. With Zelig
m.out <- matchit(treat ~ age + educ + black +...

2011 Jan 25

0

Problem with matchit() and zelig()

Dear all,
Does anybody know why the following code returns an error message?
>library(MatchIt)
>library(Zelig)
>data(lalonde)
>
>m.out1<-matchit(treat~age+educ+black+hispan+nodegree+married
+re74+re75, method="full", data=lalonde)
>
>z.out1<-zelig(re78~age+educ+black+hispan+nodegree+married+re74+re75,
data=match.data(m.out1, "control"), model="ls" , weight...

2009 Dec 07

0

zelig logit survey

When I use zelig to compute parameter estimates with "model = logit.survey",
I receive the following error:
Nicholas Carnes. 2007. "logt.surveyWarning message:
In eval(expr, envir, enclose) : non-integer #successes in a binomial glm!
I believe this is because the model is not using "quasibinomi...

2005 Jan 06

0

package Zelig problem with setx

Hi!
Does somebody out there has experience with the Zelig package from Harvard uni?
I have a problem when trying to set the explanatory variables with setx
Polytomous logistic regression:
>z.out <- zelig(OPARS ~ v1+v2+v3+...+vn, model = "mlogit", data=heb)
that's OK
>x.out<-set(z.out)
Error in seq.Date(along = object) : `from...

2006 Apr 04

0

simulation with Zelig

Dear R-friends,
I am trying to use the Zelig library to simulate the following model:
z.out<-zelig(formula = y ~ x1*x2 + x3 + x4 + x5, model="ls", data =
my.data, weights = my.weights)
Since the regression is weighted before running the regression I used
the procedure:
zelig2ls <- function(formula, model, data, M, ...)...

2009 May 04

0

Zelig, oprobit error

Hello,
I'm getting an error message when I use the ordered probit model
"oprobit" in the zelig function. Using the same form as in the help
file, we get an error message. It produces coefficients, but no
standard errors. See results below. Any hints?
Thanks!
>
> o.probit <- zelig(as.factor(checks.change) ~ Oda + Oil + sh_neg +
sh_pos + checks1, model="oprobit",...

2010 Jan 10

1

lme4 and function 'cholmod_start' not provided by package 'Matrix' / Ubuntu

Hello all,
Using Ubuntu 9.04 and R 2.8.1.
For a project I need to use the Zelig package, which in turn wants to
use the lme4 package. When trying to use Zelig and it tries to its required
packages I get the following error message.
Error in dyn.load(file, DLLpath = DLLpath, ...) :
function 'cholmod_start' not provided by package 'Matrix'
Error in loadModelD...

2009 Feb 12

0

gamma regression (Zelig package)

Hey,
I want to estimate to regressions. First I want to estimate simple OLS.
Since my dependent variable looks like a gamma distribution I want to
estimate a gamme regression with the "zelig" package.
But, I have some problems with the interpretation of the estimated
coefficient.
In the OLS the estimated coefficient is negative.
In the gamma regression the estimated coefficient is positive.
What is the interpretation of the estimated parameters within a gamma
regression?
Rega...

2011 Dec 16

0

Incorrect Number of Dimensions in Zelig with setx()

I'm running an ordered logit in R with the Zelig package and am trying to
calculate some predicted probabilities. However, I get the following error
message.
> x.low <- setx(mod, cars=1)Error in dta[complete.cases(mf), names(dta) %in% vars, drop = FALSE] :
incorrect number of dimensions
I googled this problem and couldn't find anyt...

2012 Aug 22

0

Clustered standard errors in Relogit (Zelig)

How do I apply clustered standard errors (by country) when using "relogit"
in Zelig? I can not find a function covering this.
[[alternative HTML version deleted]]

2011 Oct 18

1

getting basic descriptive stats off multiple imputation data

Hi, all,
I'm running multiple imputation to handle missing data and I'm running into a problem. I can generate the MI data sets in both amelia and the mi package (they look fine), but I can't figure out how to get pooled results. The examples from the mi package, zelig, etc., all seem to go right to something like a regression, though all I want are the mean and SE for all the variables in the data set, and the cov and for among them. How would I request those basic descriptives (using mi, zelig, or any other package).
Thanks!
Mike

2020 Oct 05

1

Simultaneous Equation Model with Dichotomous Dependent Variables

...ooks like:
glm(DV1~ IV1+ Control1+ Control2+ DV4+ DV5+ DV6, family="binomial", data= data)
which I repeat for each of the 6 DVs.
I realize that I need to run a series of simultaneous equation models, but I am not having much luck figuring out how to run an SEM with binary data in R. The zelig package used to have a bivariate logit command, but zelig does not work with the most current version of R. Additionally, I would run into issues later on using that command since 2 of my variables are not binary.
Any ideas? Thanks for your help!
Casey
---
Ph.D student, Political Science
Unive...

2005 Oct 26

1

Pb encountered with demos

...demo(lattice)
---- ~~~~~~~
Type <Return> to start :
> require(grid)
[1] TRUE
> old.prompt <- grid.prompt(TRUE)
> old.settings <- trellis.par.get()
Erreur dans eval.with.vis(expr, envir, enclos) :
impossible de trouver la fonction "trellis.par.get"
- Zelig
> demo(poisson,package='Zelig')
demo(poisson)
---- ~~~~~~~
Type <Return> to start :
> data(sanction)
> user.prompt()
Erreur dans eval.with.vis(expr, envir, enclos) :
impossible de trouver la fonction "user.prompt"
De plus : Warning message:
data set...

2011 Dec 16

1

Zellig Error Message

I'm trying to calculate predicted probabilities in R with Zelig and keep
getting the following error.
Can anyone help?
> x.low <- setx(mod, type=1)Error in dta[complete.cases(mf), names(dta) %in% vars, drop = FALSE] :
incorrect number of dimensions
When I ran the model, I ran everything but the explanatory variable as a
numeric variable. Now, I...

2011 Dec 22

0

Finding predicted probabilities

I ran three logit models in R with the Zelig package and I'm trying to
compute the
predicted probabilities for a number of different values on the independent
variable.
My dep variable was accepted or decline and my indep variable is bid
amount, and varies.
So for a bid amount of 3, what's the expected probability of winning.
For a...

2009 Jul 26

3

Sweave, cacheSweave, and data frame

...the whoel
thing every time I made changes. Then I discover the "cacheSweave" package,
which seems the right solution to my problem. I only have on problem. Here
is what I did:
----------------------------------------------
<<results=hide,echo=false>>=
library(foreign)
library(Zelig)
library(memisc)
options(digits=4)
@
<<echo=false>>=
d <- read.dta("~/project/abortion/data/data_transition_wide.dta")
@
...
----------------------------------------------
It can be compiled using "Sweave.sh foo.Rnw", but when I tried "Swe...

2008 Jul 23

1

Time series reliability questions

...correct)
results. R on the other hand, has the exogenous regressor with a negative
coefficient. If I use other data I encounter the same problem - agreement
between EViews and Gretl, disagreement with R (for identical data sets). Are
there any known bugs with arima estimation in R? If I use the Zelig package, I
get the same results as the arima{stats} function call. If I remove the
exogenous regressor from the estimations then I have agreement between R, Gretl
and EViews, but with the exogenous regressor (basically an ARMAX model) the
estimation results are substantially different.

2009 Apr 22

1

Gee with nested desgin

...I'm wondering if this is correct.
library(geepack)
geeglm(formula = Y ~ Year, id = PlotID, waves = TreeID, family =
binomial, corstr = "exchangeable")
#using a unstructured correlation on the plot level. geeglm with
unstructured correlation resulted in an out of memory error.
library(Zelig)
zelig(formula = Y ~ Year, model = "logit.gee", id = "PlotID", corstr =
"unstructured")
#Ideally I think I need a correlation matrix structured like below
(given for a plot with 3 trees). Here a1 is the correlation within a
tree, a2 the correlation between trees from...