similar to: Zero inflation model - pscl package

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

2006 Jul 20
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:, Y, family = poisson()) 2: fitted rates numerically 0 occurred in:, Y, family =
2008 Sep 19
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
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
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
pscl package and hurdle model marginal effects
This request is related to the following post from last year: 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
About zero-inflation poisson model
Hello all, I am Xiongqing Zhang, come from Beijing of China. I know you from the web site: 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
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 -- View this message in context: Sent from the R help mailing list archive at
2009 Mar 06
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)) -- View this message in context:
2009 Jul 27
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 [[alternative HTML version deleted]]