Displaying 9 results from an estimated 9 matches similar to: "Zero inflation model - pscl package"

2006 Jul 20

0

Convergence warnings from zeroinfl (package pscl)

Dear R-Helpers,
Can anyone please help me to interpret warning messages from zeroinfl
(package pscl) while fitting a zero inflated negative binomial model?
The console reports convergence and the parameters seam reasonable, but
these
<<Warning messages:
1: algorithm did not converge in: glm.fit(X, Y, family = poisson())
2: fitted rates numerically 0 occurred in: glm.fit(X, Y, family =

2008 Sep 19

0

problems with too many NA in the function ideal() from pscl package.

Hi all,
I'm trying to run some monte carlo simulation for my roll call data
using the ideal() function, which resides in the pscl package.
However, I'm receiving an error message that I don't understand.
Error in ideal(a, maxiter = 1000, thin = 10, burnin = 50, store.item = TRUE, :
NA/NaN/Inf in foreign function call (arg 13)
my code is simple the following:
> m_a

2012 Sep 10

1

Zero inflated Models- pscl package

Dear R users,
I want to apply zero inflated models with continuous and categorical
variables and I used pscl package from R and the zeroinf() function. My
question are the follow:
a) The value of fitted.values is mu or (1-p)*mu? where p is the probability
of zero came form a zero point mass
b) If mu is zero, how do i know if it is a zero from the zero point mass or
from the count process?

2008 Feb 18

1

fitted.values from zeroinfl (pscl package)

Hello all:
I have a question regarding the fitted.values returned from the
zeroinfl() function. The values seem to be nearly identical to those
fitted.values returned by the ordinary glm(). Why is this, shouldn't
they be more "zero-inflated"?
I construct a zero-inflated series of counts, called Y, like so:
b= as.vector(c(1.5, -2))
g= as.vector(c(-3, 1))
x <- runif(100) # x

2012 Jan 17

2

pscl package and hurdle model marginal effects

This request is related to the following post from last year:
https://stat.ethz.ch/pipermail/r-help/2011-June/279752.html
After reading the thread, the idea is still not clear. I have fitted a model using HURDLE from the PSCL package. I am trying to get marginal effects / slopes by multiplying the coefficients by the mean of the marginal effects (I think this is

2009 Dec 12

1

About zero-inflation poisson model

Hello all, I am Xiongqing Zhang, come from Beijing of China. I know you from the web site: http://finzi.psych.upenn.edu/Rhelp08/2008-February/154627.html.
I am not very clear about the R-project software. But I want to estimate the parameters and errors of zero-inflation poisson model. Can?you help me?
Data is in the attachement. Thank you.
I will be very appreciated if you

2010 Jan 07

0

variance inflation factor for linear mixed effects

hello all -
i was searching for theoretical articles/vector equations regarding variance
inflation factor (or generalization) for the linear mixed effects model
(repeated measures data)
sincerely,
tom
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2009 Mar 06

0

Variance inflation factors (VIF)

I have the following script, how can I implement to achieve that calculate
the VIF.
Thanks.
U1.7km<-c(15:24)
R<-c(1.2,0.2,3.6,2.5,4.8,6.3,2.3,4.1,7.2,6.1)
Hm<-c(1:10)
mod<-nls(R~a*(U1.7km^b)*(Hm^c), start=list(a=2.031, b=0.800, c=-0.255),
trace=T)
summary(mod)
coef(mod)
coef(summary(mod))
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2009 Jul 27

2

Forecasting Inflation

Dear All,
I wanted to forecast Inflation for Indian Economy. please send what
techniques to be used after the variable selection. WPI, CPI, Money supply,
IIP, Interest rate and so on..How i can use R for the same
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