Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Søren Højsgaard"'
Publikováno v:
Antioxidants, Vol 10, Iss 3, p 478 (2021)
This study investigates two levels of dietary selenium (Se) and vitamin E in combination on their status in sows and their progeny, and influence on antioxidant status and immunological responses of the piglets at weaning. Female pigs (n = 6) were pr
Externí odkaz:
https://doaj.org/article/4ef2fd65ada14f70aa9b4e35087247e0
Autor:
Ulrich Halekoh, Søren Højsgaard
Publikováno v:
Journal of Statistical Software, Vol 59, Iss 1, Pp 1-32 (2014)
When testing for reduction of the mean value structure in linear mixed models, it is common to use an asymptotic ?2 test. Such tests can, however, be very poor for small and moderate sample sizes. The pbkrtest package implements two alternatives to s
Externí odkaz:
https://doaj.org/article/6df1f5887e6141ea85273278b7bf47dd
Autor:
Claus Dethlefsen, Søren Højsgaard
Publikováno v:
Journal of Statistical Software, Vol 14, Iss 1, Pp 1-12 (2005)
The gRbase package is intended to set the framework for computer packages for data analysis using graphical models. The gRbase package is developed for the open source language, R, and is available for several platforms. The package is intended to be
Externí odkaz:
https://doaj.org/article/36eb245daabc47e88cd29eb97f42310f
Publikováno v:
Journal of Statistical Software, Vol 15, Iss 1, Pp 1-11 (2005)
This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data. Clustered data arise in many applications such as
Externí odkaz:
https://doaj.org/article/426477e7dac04948a2cfb9932582bb75
Autor:
Søren Højsgaard
Publikováno v:
Journal of Statistical Software, Vol 11, Iss 1, Pp 1-13 (2004)
The mimR package for graphical modelling in R is introduced. We present some facilities of mimR, namely those relating specifying models, editing models, fitting models and doing model search. We also discuss the entities needed for flexible graphica
Externí odkaz:
https://doaj.org/article/c912ea10da4e490c9eb9ad5ee61fe619
Autor:
Jared O'Connell, Søren Højsgaard
Publikováno v:
Journal of Statistical Software, Vol 39, Iss 04 (2011)
This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of interest when observed data is thought to be dependent on
Externí odkaz:
https://doaj.org/article/ed204a98bc644a68ac1115da2d5fe118
Autor:
Søren Højsgaard, Steffen L. Lauritzen
Publikováno v:
Journal of Statistical Software, Vol 23, Iss 6 (2007)
In this paper we present the R package gRc for statistical inference in graphical Gaussian models in which symmetry restrictions have been imposed on the concentration or partial correlation matrix. The models are represented by coloured graphs where
Externí odkaz:
https://doaj.org/article/f97451c8b48c439ca3debe9aff40ee33
Autor:
Russell V. Lenth, Søren Højsgaard
Publikováno v:
Journal of Statistical Software, Vol 19, Iss 8 (2007)
SASweave is a collection of scripts that allow one to embed SAS code into a LATEX document, and automatically incorporate the results as well. SASweave is patterned after Sweave, which does the same thing for code written in R. In fact, a document ma
Externí odkaz:
https://doaj.org/article/01829f57282744a78d7c46308fae6009
Publikováno v:
Journal of Statistical Software, Vol 15, Iss 2 (2005)
This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data. Clustered data arise in many applications such as
Externí odkaz:
https://doaj.org/article/5aec1ce51f3d4c02969c2460caef23c2
Autor:
Søren Højsgaard
Publikováno v:
Højsgaard, S 2021, Introduction to linear algebra in R .
Aalborg University
Aalborg University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c3585cae6e50a78006270aeb524ffdb0
https://vbn.aau.dk/ws/files/405868837/LinearAlgebraR_Lecture.pdf
https://vbn.aau.dk/ws/files/405868837/LinearAlgebraR_Lecture.pdf