glmmEP
Generalized Linear Mixed Model Analysis via Expectation Propagation
Description
Approximate frequentist inference for generalized linear mixed model analysis with expectation propagation used to circumvent the need for multivariate integration. In this version, the random effects can be any reasonable dimension. However, only probit mixed models with one level of nesting are supported. The methodology is described in Hall, Johnstone, Ormerod, Wand and Yu (2018) <arXiv:1805.08423v1>.
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Check details (16 non-OK)
CRAN incoming feasibility
Maintainer: ‘Matt P. Wand <matt.wand@uts.edu.au>’ The Description field contains Johnstone, Ormerod, Wand and Yu (2018) <arXiv:1805.08423v1>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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CRAN incoming feasibility
Maintainer: ‘Matt P. Wand <matt.wand@uts.edu.au>’ The Description field contains Johnstone, Ormerod, Wand and Yu (2018) <arXiv:1805.08423v1>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
| ^
Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
| ^
Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
| ^
Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
| ^
Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
| ^
Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
| ^
Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
| ^
Check History
NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
CRAN incoming feasibility
Maintainer: ‘Matt P. Wand <matt.wand@uts.edu.au>’ The Description field contains Johnstone, Ormerod, Wand and Yu (2018) <arXiv:1805.08423v1>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
CRAN incoming feasibility
Maintainer: ‘Matt P. Wand <matt.wand@uts.edu.au>’ The Description field contains Johnstone, Ormerod, Wand and Yu (2018) <arXiv:1805.08423v1>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
|
Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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Rd files
checkRd: (-1) glmmSimData.Rd:4: Lost braces; missing escapes or markup?
4 | \description{Section 4.1.2 of the refence below descries a simulation study with data generated from a probit mixed model with six fixed effects parameters and a bivariate random effects vector having a 2 by 2 symmetric positive definite covariance matrix. The function simulates a data set from this model with 2500 groups and the number of observation in each group being a random draw from {20,21,...,30}.}
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