Søren Højsgaard
Søren Højsgaard
Associate professor in statistics, Aalborg University
Verified email at - Homepage
Cited by
Cited by
The R package geepack for generalized estimating equations
S Højsgaard, U Halekoh, J Yan
Journal of statistical software 15, 1-11, 2006
A kenward-roger approximation and parametric bootstrap methods for tests in linear mixed models–the R package pbkrtest
U Halekoh, S Højsgaard
Journal of Statistical Software 59, 1-32, 2014
afex: Analysis of Factorial Experiments. R package version 0.16-1
H Singmann, B Bolker, J Westfall, F Aust, MS Ben-Shachar
R package version 0.16 1, 2016
Diagnosing diagnostic tests: evaluating the assumptions underlying the estimation of sensitivity and specificity in the absence of a gold standard
N Toft, E Jørgensen, S Højsgaard
Preventive veterinary medicine 68 (1), 19-33, 2005
Graphical models with R
S Højsgaard, D Edwards, S Lauritzen
Springer Science & Business Media, 2012
Graphical independence networks with the gRain package for R
S Højsgaard
Journal of Statistical Software 46, 1-26, 2012
Small intestinal morphology and activity of intestinal peptidases in piglets around weaning
MS Hedemann, S Højsgaard, BB Jensen
Journal of Animal Physiology and Animal Nutrition 87 (1‐2), 32-41, 2003
doBy: doBy-Groupwise summary statistics, general linear contrasts, population means (least-squares-means), and other utilities
S Højsgaard, U Halekoh
R package version, 4.5-5, 2012
Feed physical form and formic acid addition to the feed affect the gastrointestinal ecology and growth performance of growing pigs
N Canibe, O Højberg, S Højsgaard, BB Jensen
Journal of animal science 83 (6), 1287-1302, 2005
Intestinal degradation in pigs of rye dietary fibre with different structural characteristics
LV Glitsø, G Brunsgaard, S Højsgaard, B Sandström, KEB Knudsen
British journal of nutrition 80 (5), 457-468, 1998
Influence of dietary rapeseed oil, vitamin E, and copper on the performance and the antioxidative and oxidative status of pigs
C Lauridsen, S Højsgaard, MT Sørensen
Journal of animal science 77 (4), 906-916, 1999
BIFROST—Block recursive models induced from relevant knowledge, observations, and statistical techniques
S Højsgaard, B Thiesson
Computational Statistics & Data Analysis 19 (2), 155-175, 1995
Oestrus detection in dairy cows from activity and lying data using on-line individual models
R Jónsson, M Blanke, NK Poulsen, F Caponetti, S Højsgaard
Computers and electronics in agriculture 76 (1), 6-15, 2011
Hidden semi markov models for multiple observation sequences: The mhsmm package for R
J O'Connell, S Højsgaard
Journal of Statistical Software 39, 1-22, 2011
Graphical Gaussian models with edge and vertex symmetries
S Højsgaard, SL Lauritzen
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008
Improved detection of reproductive status in dairy cows using milk progesterone measurements
NC Friggens, M Bjerring, C Ridder, S Højsgaard, T Larsen
Reproduction in Domestic Animals 43, 113-121, 2008
Degradation of rye arabinoxylans in the large intestine of pigs
LV Glitsø, H Gruppen, HA Schols, S Højsgaard, B Sandström, ...
Journal of the Science of Food and Agriculture 79 (7), 961-969, 1999
afex: Analysis of factorial experiments, 2021
H Singmann, B Bolker, J Westfall, F Aust, MS Ben-Shachar, S Højsgaard
R package version 1 (1), 2020
Estimating degree of mastitis from time-series measurements in milk: a test of a model based on lactate dehydrogenase measurements
NC Friggens, MGG Chagunda, M Bjerring, C Ridder, S Hojsgaard, ...
Journal of Dairy Science 90 (12), 5415-5427, 2007
pbkrtest: Parametric bootstrap and Kenward Roger based methods for mixed model comparison
U Halekoh, S Højsgaard
R package version 0.3-8, URL http://CRAN. R-project. org/package= pbkrtest, 2013
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