mixed_modelr: Use mixed-effects model in lme4 syntax to associate a...
In brentp/clustermodelr: Models on clusters of correlated data
Description
Usage
Arguments
Value
Description
An example model would look like: methylation ~ disease +
age + gender + (1|CpG) + (1|id) To determine the associate
of disease and methylation and allowing for random
intercepts by CpG site and by sample id.
Usage
1
mixed_modelr(formula, covs)
Arguments
covs
covariate data.frame containing the terms in
formula except "methylation" which is added
automatically
formula
an R formula containing "methylation"
Value
list(covariate, p, coef) where p and coef are for
the coefficient of the first term on the RHS of the model.
brentp/clustermodelr documentation built on May 13, 2019, 5:11 a.m.
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Description Usage Arguments Value
Description
An example model would look like: methylation ~ disease + age + gender + (1|CpG) + (1|id) To determine the associate of disease and methylation and allowing for random intercepts by CpG site and by sample id.
Usage
1 | mixed_modelr(formula, covs)
|
Arguments
covs |
covariate data.frame containing the terms in formula except "methylation" which is added automatically |
formula |
an R formula containing "methylation" |
Value
list(covariate, p, coef) where p and coef are for
the coefficient of the first term on the RHS of the model.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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