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).

MAPfastR : quantitative trait loci mapping in outbred line crosses

MAPfastR is a software package developed to analyze QTL data from inbred and outbred line-crosses. The package includes a number of modules for fast and accurate QTL analyses. It has been developed in the R language for fast and comprehensive analyses of large datasets. MAPfastR is freely available at: http://www.computationalgenetics.se/?page_id=7.

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.

Designens betydelse vid val av boxvin : En studie om konsumenters preferenser av designfaktorer på bag-in-box-vin.

På den svenska marknaden står bag-in-box-vin för över 50 procent av allt vin som säljs och Sverige är det land där bag-in-boxen fått starkast fäste i världen (Fremin, 2012). Det gör att bag-in-box-förpackningen är en stor och betydelsefull produkt för vintillverkare och att ha kunskap om säljande design är viktigt för grafiska formgivare samt övriga involverade företag. Den föreliggande studiens syfte var att undersöka vilka designfaktorer på bagin- box-förpackningar som påverkar konsumenternas val av vin i Sverige. Studien innefattade en visuell kartläggning som ämnade ge en överblick av utbudet på ett Systembolag. Detta genomfördes för att skapa en grund till den webbaserade enkätundersökningen som genomfördes under våren 2015. Resultaten visade att majoriteten av respondenterna valde vin baserat på förpackningens utseende och ansåg att de påverkades främst av färg, typsnitt, illustrationer och varumärken. Resultaten visade också att ju högre vinkunskap konsumenterna hade desto mindre påverkade designen deras val. Kvinnor och män hade generellt olika åsikter angående hur stor påverkan de olika designfaktorerna hade vid valet av bag-in-box-vin. Denna studie är endast ett avstamp till ett ämne som innefattar många påverkande faktorer. Det betyder att mer forskning krävs inom ämnet innan helt sanningsenliga resultat kan fastställas.

Fitting conditional and simultaneous autoregressive spatial models in hglm

We present a new version (> 2.0) of the hglm package for fitting hierarchical generalized linear models (HGLMs) with spatially correlated random effects. CAR() and SAR() families for conditional and simultaneous autoregressive random effects were implemented. Eigen decomposition of the matrix describing the spatial structure (e.g., the neighborhood matrix) was used to transform the CAR/SAR random effects into an independent, but eteroscedastic, Gaussian random effect. A linear predictor is fitted for the random effect variance to estimate the parameters in the CAR and SAR models. This gives a computationally efficient algorithm for moderately sized problems.

Finite element analysis of hot rolling in the blooming mill

During this thesis work a coupled thermo-mechanical finite element model (FEM) was builtto simulate hot rolling in the blooming mill at Sandvik Materials Technology (SMT) inSandviken. The blooming mill is the first in a long line of processes that continuously or ingotcast ingots are subjected to before becoming finished products. The aim of this thesis work was twofold. The first was to create a parameterized finiteelement (FE) model of the blooming mill. The commercial FE software package MSCMarc/Mentat was used to create this model and the programing language Python was used toparameterize it. Second, two different pass schedules (A and B) were studied and comparedusing the model. The two pass series were evaluated with focus on their ability to healcentreline porosity, i.e. to close voids in the centre of the ingot. This evaluation was made by studying the hydrostatic stress (σm), the von Mises stress (σeq)and the plastic strain (εp) in the centre of the ingot. From these parameters the stress triaxiality(Tx) and the hydrostatic integration parameter (Gm) were calculated for each pass in bothseries using two different transportation times (30 and 150 s) from the furnace. The relationbetween Gm and an analytical parameter (Δ) was also studied. This parameter is the ratiobetween the mean height of the ingot and the contact length between the rolls and the ingot,which is useful as a rule of thumb to determine the homogeneity or penetration of strain for aspecific pass. The pass series designed with fewer passes (B), many with greater reduction, was shown toachieve better void closure theoretically. It was also shown that a temperature gradient, whichis the result of a longer holding time between the furnace and the blooming mill leads toimproved void closure.