A Kenward-Roger approximation and parametric bootstrap methods for tests in linear mixed models: The R Package pbkrtest

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Original language	English
Journal	Journal of Statistical Software
Volume	59
Issue number	9
Pages (from-to)	1-32
Number of pages	32
ISSN	1548-7660
DOIs	https://doi.org/10.18637/jss.v059.i09
Publication status	Published - Sept 2014

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@article{3fc71bf9e7704ce890155977e92799a5,

title = "A Kenward-Roger approximation and parametric bootstrap methods for tests in linear mixed models: The R Package pbkrtest",

author = "Ulrich Halekoh and S{\o}ren H{\o}jsgaard",

year = "2014",

month = sep,

doi = "10.18637/jss.v059.i09",

language = "English",

volume = "59",

pages = "1--32",

journal = "Journal of Statistical Software",

issn = "1548-7660",

publisher = "The Foundation for Open Access Statistics",

number = "9",

}

TY - JOUR

T1 - A Kenward-Roger approximation and parametric bootstrap methods for tests in linear mixed models

T2 - The R Package pbkrtest

AU - Halekoh, Ulrich

AU - Højsgaard, Søren

PY - 2014/9

Y1 - 2014/9

U2 - 10.18637/jss.v059.i09

DO - 10.18637/jss.v059.i09

M3 - Journal article

SN - 1548-7660

VL - 59

SP - 1

EP - 32

JO - Journal of Statistical Software

JF - Journal of Statistical Software

IS - 9

ER -