[R] weighted x variables with glm

I have a glm regression (quasi-poisson) of log(mu) on x but I have varying degrees of confidence in the x values, and can attach a numerical weighting to each. Can anyone help me with suggestions of how to analysise this. Is there an R package that would help? Wendy [[alternative HTML

Re: [R] weighted x variables with glm

Hi Wendy, In case you haven't see it, the glm function accepts an optional weights argument. Michael On 29 November 2010 09:42, Wendy Anderson newhorizonscand...@gmail.com wrote: I have a glm regression (quasi-poisson) of log(mu) on x but I have varying degrees of confidence in the x values,

Re: [R] weighted x variables with glm

In case you haven't see it, the glm function accepts an optional weights argument. Thanks for the reply. But the philosopy behind weighting is the assumption of unequal variance in the y values. In normal regression one assumes that the x values are known without error Wendy Sorry Wendy

Re: [R] weighted x variables with glm

Hello again Wendy, Actually, the simex package is probably a more useful suggestion... http://www.stat.uni-muenchen.de/~helmut/Texte/Simex_Rnews.pdf Michael On 29 November 2010 13:55, Michael Bedward michael.bedw...@gmail.com wrote: In case you haven't see it, the glm function accepts an