Displaying 4 results from an estimated 4 matches for "kneib".
2008 Aug 19
4
spatial probit/logit for prediction
Hello all,
I am wondering if there is a way to do a spatial error probit/logit model in R? I can't seem to find it in any of the packages. I can do it in MATLAB with Gibbs sampling, but would like to confirm the results. Ideally I would like to use this model to predict probability of parcel conversion in a future time period. This seems especially difficult in a binary outcome model
2007 Feb 03
1
JSS Volume 18 (www.jstatsoft.org)
Special Volume on Spectroscopy and Chemometrics in R
Guest Edited by Katharine M. Mullen and Ivo H.M. van Stokkum
11 contributions, with software packages and examples
Similar volumes on R in Psychometrics (guest edited by
Jan de Leeuw) and R in Political Methodology (guest edited
by Micah Altman and Simon Jackman) are close to being finished.
Additional volumes are being worked on. Proposals
2007 Oct 03
0
Foometrics in R
At www.jstatsoft.org we now have three special volumes
Volume 22, Ecology and Ecological Modelling in R (Thomas Kneib and
Thomas Petzoldt, eds.)
Volume 20, Psychometrics in R (Jan de Leeuw and Patrick Mair, eds.)
Volume 18, Spectroscopy and Chemometrics in R (Kate Mullen and Ivo
van Stokkum, eds.)
Coming soon
-- Econometrics in R
-- Political Methodology in R
Gleam in my eye
-- Geosciences / Geostatisti...
2012 May 08
2
mgcv: inclusion of random intercept in model - based on p-value of smooth or anova?
Dear useRs,
I am using mgcv version 1.7-16. When I create a model with a few
non-linear terms and a random intercept for (in my case) country using
s(Country,bs="re"), the representative line in my model (i.e.
approximate significance of smooth terms) for the random intercept
reads:
edf Ref.df F p-value
s(Country) 36.127 58.551 0.644