Displaying 20 results from an estimated 20000 matches similar to: "n in pglm() and relogit()"

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]]

2013 May 10

1

PGLM Package: Starting Values for Within-Model

I am currently using the PGLM package and I would like to implement a
within-model. Unfortunately, I do not succeed as I am not a big expert in
panel regression.
I am using the example data set from the PGLM package:
library(pglm)
data('Unions', package = 'pglm')
anb <- pglm(union~wage+exper+rural, Unions, family=binomial('probit'),
model="within", method =

2010 Jul 15

1

Warning message in summary of PGLM

Dear Sir,
When requesting the summary of pglm analyses in R, I encounter repeatedly
the following warning message:
"Warning message:
In pf(Fstat, object$k - 1, object$n - object$k, ncp = 0, lower.tail = FALSE,
:
full precision was not achieved in 'pnbeta'"
This message appears both with the pglm estimate of Lambda and with Lambda
set to 0.
Could you tell me what

2013 Apr 24

1

pglm package: fitted values and residuals

I'm using the package pglm and I'have estimated a "random probit model".
I need to save in a vector the fitted values and the residuals of the
model but I can not do it.
I tried with the command fitted.values using the following procedure
without results:
library(pglm)
m1_S<-pglm(Feed ~ Cons_PC_1 + imp_gen_1 + LGDP_PC_1 + lnEI_1 +

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"),

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

2020 Oct 05

1

Simultaneous Equation Model with Dichotomous Dependent Variables

Hello everyone!
I am currently working with a time series panel data set measuring six dependent variables:
4 of which are binary and 2 of which are count data.
I am interested in constructing a model to measure if the dependent variables influence one another.
For example: DV1~ DV2 + IV1+IV2+ Controls and DV2~ DV1 + IV1+ IV2+ Controls
(where IV stands for independent variable, not

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 parameters

2008 Nov 07

0

negative binomial predicted probabilities

I estimated a negative binomial model using zelig.
z.out<- zelig(NEWBHC~ PW80 + CHNGBLK + XBLK,data=data, model="negbin")
How do I calculate predicted probabilities for this model? Is it the same
process as a poisson regression?
Thanks in advance
Joe
[[alternative HTML version deleted]]

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 + hispan + married + nodegree + re74 + re75, data = lalonde)

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 anything, minus a question by
me on this same

2008 Jul 23

1

Time series reliability questions

Hello all,
I have been using R's time series capabilities to perform analysis for quite
some time now and I am having some questions regarding its reliability. In
several cases I have had substantial disagreement between R and other packages
(such as gretl and the commercial EViews package).
I have just encountered another problem and thought I'd post it to the list. In
this case,

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 "quasibinomial" (see R-News
2003, Analyzing Survey Data in R, by Thomas Lumley). Is there

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 loadModelDeps(model) :

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$il6 ~ il6.data$apache, model =

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' must be specified
#??? I have no date

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,

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, ...) {
mf <- match.call(expand.dots = TRUE)

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 bid amount of 5, what's the expected probability of

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