-
1
-
-
84943645306
-
Fitting Linear Mixed-Effects Models Using lme4.
-
Bates D, Mächler M, Bolker B, Walker S (2015). “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software, 67(1), 1-48. doi:10.18637/jss.v067.i01.
-
(2015)
Journal of Statistical Software
, vol.67
, Issue.1
, pp. 1-48
-
-
Bates, D.1
Mächler, M.2
Bolker, B.3
Walker, S.4
-
2
-
-
4544320603
-
Effect Displays in R for Generalised Linear Models.
-
Fox J (2003). “Effect Displays in R for Generalised Linear Models.” Journal of Statistical Software, 8(15), 1-27. doi:10.18637/jss.v008.i15.
-
(2003)
Journal of Statistical Software
, vol.8
, Issue.15
, pp. 1-27
-
-
Fox, J.1
-
3
-
-
70350422768
-
Effect Displays in R for Multinomial and Proportional-Odds Logit Models: Extensions to the effects Package.
-
Fox J, Hong J (2009). “Effect Displays in R for Multinomial and Proportional-Odds Logit Models: Extensions to the effects Package.” Journal of Statistical Software, 32(1), 1-24. doi:10.18637/jss.v032.i01.
-
(2009)
Journal of Statistical Software
, vol.32
, Issue.1
, pp. 1-24
-
-
Fox, J.1
Hong, J.2
-
7
-
-
77749249761
-
MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package.
-
Hadfield JD (2010). “MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package.” Journal of Statistical Software, 33(2), 1-22. doi:10.18637/jss.v033.i02.
-
(2010)
Journal of Statistical Software
, vol.33
, Issue.2
, pp. 1-22
-
-
Hadfield, J.D.1
-
8
-
-
84907090576
-
A Kenward-Roger Approximation and Parametric Bootstrap Methods for Tests in Linear Mixed Models - The R Package pbkrtest.
-
Halekoh U, Højsgaard S (2014). “A Kenward-Roger Approximation and Parametric Bootstrap Methods for Tests in Linear Mixed Models - The R Package pbkrtest.” Journal of Statistical Software, 59(9), 1-30. doi:10.18637/jss.v059.i09.
-
(2014)
Journal of Statistical Software
, vol.59
, Issue.9
, pp. 1-30
-
-
Halekoh, U.1
Højsgaard, S.2
-
10
-
-
84956903906
-
Use of the HARVEY Procedure
-
Harvey W (1976). “Use of the HARVEY Procedure.” In SUGI Proceedings. URL http://www. sascommunity.org/sugi/SUGI76/Sugi-76-20%20Harvey.pdf.
-
(1976)
SUGI Proceedings
-
-
Harvey, W.1
-
11
-
-
84959989078
-
User’s Guide For Lsml 76. Mixed Model Least-Squares and Maximum Likelihood Computer Program
-
Harvey WR (1977). User’s Guide For Lsml 76. Mixed Model Least-Squares and Maximum Likelihood Computer Program. Ohio State University.
-
(1977)
Ohio State University
-
-
Harvey, W.R.1
-
12
-
-
84928053801
-
-
R package version 4.5-13
-
Højsgaard S, Halekoh U, Robison-Cox J, Wright K, Leidi AA (2014). doBy: Groupwise Summary Statistics, LSmeans, General Linear Contrasts, Various Utilities. R package version 4.5-13, URL http://CRAN.R-project.org/package=doBy.
-
(2014)
Doby: Groupwise Summary Statistics, Lsmeans, General Linear Contrasts, Various Utilities
-
-
Højsgaard, S.1
Halekoh, U.2
Robison-Cox, J.3
Wright, K.4
Leidi, A.A.5
-
13
-
-
49849092907
-
Simultaneous Inference in General Parametric Models.
-
Hothorn T, Bretz F, Westfall P (2008). “Simultaneous Inference in General Parametric Models.” Biometrical Journal, 50(3), 346-363. doi:10.1002/bimj.200810425.
-
(2008)
Biometrical Journal
, vol.50
, Issue.3
, pp. 346-363
-
-
Hothorn, T.1
Bretz, F.2
Westfall, P.3
-
16
-
-
84886910285
-
-
R package version 2.22
-
Lenth RV (2016). lsmeans: Least-Squares Means. R package version 2.22, URL https://CRAN.R-project.org/package=lsmeans.
-
(2016)
Lsmeans: Least-Squares Means
-
-
Lenth, R.V.1
-
18
-
-
0004083650
-
-
W. H. Freeman. Now a free downloadCreative Commons license
-
Oehlert G (2000). A First Course in Design and Analysis of Experiments. W. H. Freeman. Now a free download (Creative Commons license) at http://users.stat.umn.edu/~gary/Book.html.
-
(2000)
A First Course in Design and Analysis of Experiments
-
-
Oehlert, G.1
-
20
-
-
84863304598
-
-
R Core Team, R Foundation for Statistical Computing, Vienna, Austria
-
R Core Team (2015). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.
-
(2015)
R: A Language and Environment for Statistical Computing
-
-
-
22
-
-
84956938099
-
LSMEANS Statement
-
SAS Institute Inc
-
SAS Institute Inc (2012). “LSMEANS Statement.” In SAS/STAT 9.3 User’s Guide. URL http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_introcom_a0000003362.htm.
-
(2012)
SAS/STAT 9.3 User’s Guide
-
-
-
23
-
-
0000511835
-
Population Marginal Means in the Linear Model: An Alternative to Least Squares Means.
-
Searle SR, Speed FM, Milliken GA (1980). “Population Marginal Means in the Linear Model: An Alternative to Least Squares Means.” The American Statistician, 34(4), 216-221. doi: 10.1080/00031305.1980.10483031.
-
(1980)
The American Statistician
, vol.34
, Issue.4
, pp. 216-221
-
-
Searle, S.R.1
Speed, F.M.2
Milliken, G.A.3
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