contrasts.mcemGLMM
(Package: mcemGLM) :
Contrast estimation for mcemGLMM objects
Contrast testing for a model fitted with mcemGLMM.
● Data Source:
CranContrib
● Keywords: glmm
● Alias: contrasts.mcemGLMM
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summary.mcemGLMM
(Package: mcemGLM) :
Summary method for mcemGLMM objects
Summary for an object obtained from mcemGLMM.
● Data Source:
CranContrib
● Keywords: glmm
● Alias: summary, summary.mcemGLMM
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0 images
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mcemGLMMext
(Package: mcemGLM) :
Extending the Iterations of a Model Fitted with mcemGLMM
Given a model fitted with the function mcemGLMM this function will add iterations and update the model estimates for more accurate results.
● Data Source:
CranContrib
● Keywords: glmm, mcemGLMM
● Alias: mcemGLMMext
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0 images
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covMat.mcemGLMM
(Package: mcemGLM) :
Anova method for mcemGLMM objects
Extract the fixed effect's covariance matrix from a model fitted with mcemGLMM.
● Data Source:
CranContrib
● Keywords: glmm
● Alias: covMat, covMat.mcemGLMM
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0 images
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anova.mcemGLMM
(Package: mcemGLM) :
Anova method for mcemGLMM objects
ANOVA table based on Wald tests for a model fitted with mcemGLMM.
● Data Source:
CranContrib
● Keywords: glmm
● Alias: anova, anova.mcemGLMM
●
0 images
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mcemGLMM
(Package: mcemGLM) :
Generalized Linear Mixed Models Estimation
Maximum likelihood estimation for logistic, Poisson, and negative binomial models with random effects using a Monte Carlo EM algorithm.
● Data Source:
CranContrib
● Keywords: glmm
● Alias: mcemGLMM
●
0 images
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residuals.mcemGLMM
(Package: mcemGLM) :
Residual extraction method for mcemGLMM objects
This functions returns the residuals of a model fitted with mcemGLMM.
● Data Source:
CranContrib
● Keywords: glmm, residuals
● Alias: residuals, residuals.mcemGLMM
●
0 images
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coef.mcemGLMM
(Package: mcemGLM) :
Anova method for mcemGLMM objects
Extract the fixed effect coeffcients from a model fitted with mcemGLMM.
● Data Source:
CranContrib
● Keywords: glmm
● Alias: coef, coef.mcemGLMM
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0 images
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mcemGLM performs maximum likelihood estimation for logistic, Poisson, and negative binomial regression when random effects are present. The package uses an MCEM algorithm to estimate the model's fixed paramters and variance components with their respective standard errors.
● Data Source:
CranContrib
● Keywords: glmm
● Alias: mcemGLM, mcemGLM-package
●
0 images
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ranef.mcemGLMM
(Package: mcemGLM) :
Anova method for mcemGLMM objects
Extract the random effect predictions from a model fitted with mcemGLMM.
● Data Source:
CranContrib
● Keywords: glmm
● Alias: ranef, ranef.mcemGLMM
●
0 images
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