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Fitting spatial mod...
Fitting spatial models in the R package: hglm
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- Alam, Moudud (författare)
- Högskolan Dalarna,Statistik
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- Rönnegård, Lars (författare)
- Högskolan Dalarna,Statistik
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- Shen, Xia (författare)
- Swedish University of Agricultural Sciences, Uppsala
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(creator_code:org_t)
- Högskolan Dalarna, 2014
- Engelska.
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Serie: Working papers in transport, tourism, information technology and microdata analysis, 1650-5581 ; 2014:01
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Abstract
Ämnesord
Stäng
- We present a new version of the hglm package for fittinghierarchical generalized linear models (HGLM) with spatially correlated random effects. A CAR family for conditional autoregressive random effects was implemented. Eigen decomposition of the matrix describing the spatial structure (e.g. the neighborhood matrix) was used to transform the CAR random effectsinto an independent, but heteroscedastic, gaussian random effect. A linear predictor is fitted for the random effect variance to estimate the parameters in the CAR model.This gives a computationally efficient algorithm for moderately sized problems (e.g. n<5000).
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Nyckelord
- Spatial HGLM
- Conditional autoregressive random effects model
- Heteroskedastic random effects
- Eigen decomposition
- General Microdata Analysis - methods
- Allmänt Mikrodataaanalys - metod
Publikations- och innehållstyp
- vet (ämneskategori)
- rap (ämneskategori)