Fitting spatial models in the R package: hglm

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).

Förpackningsproduktion samt studie om hur reumatikervänliga förpackningar är idag

AssiDomän Frövi board mill has in cooperation with students from Graphic Technologyat the University of Dalarna a degree project that involves developing package solutionsin carton material from AssiDomän Frövi. This year the basic condition was to use theweights 270g/m2, 300g/m2 and 330g/m2 and choose between Frövi Bright, Frövi Lightand Frövi Carry.The packages were supposed to be in the segments industrial products,chocolate/sweets and beauty products/cosmetics. Two packages were produced in thesegments industrial products and beauty products/cosmetics.The first package, produced in the industrial segment, contains textile color and templatesand the second package is a gift package and contains nail polish.The investigation part of the project deals with how the packages today are fit forrheumatics in opening purpose.

qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software

Background qtl.outbred is an extendible interface in the statistical environment, R, for combining quantitative trait loci (QTL) mapping tools. It is built as an umbrella package that enables outbred genotype probabilities to be calculated and/or imported into the software package R/qtl. Findings Using qtl.outbred, the genotype probabilities from outbred line cross data can be calculated by interfacing with a new and efficient algorithm developed for analyzing arbitrarily large datasets (included in the package) or imported from other sources such as the web-based tool, GridQTL. Conclusion qtl.outbred will improve the speed for calculating probabilities and the ability to analyse large future datasets. This package enables the user to analyse outbred line cross data accurately, but with similar effort than inbred line cross data.

Hglm: A package for fitting hierarchical generalized linear models

We present the hglm package for fitting hierarchical generalized linear models. It can be used for linear mixed models and generalized linear mixed models with random effects for a variety of links and a variety of distributions for both the outcomes and the random effects. Fixed effects can also be fitted in the dispersion part of the model.