mc_remle: Efficient REMLE for multi-context LMM
In brandonjew/mcLMM: Ultra-fast association testing across multiple contexts with linear mixed models
Description
Usage
Arguments
Value
Description
Efficient REMLE for multi-context LMM
Usage
1
Arguments
Y
Matrix with individuals as rows and measurements as columns
Missing measurements must be NA
X
Matrix with n rows and c columns for n
individuals and c covariates.
force.iter
Boolean. If TRUE, force iterative method even when there
is no missing data. This is included for testing purposes
only. The optimal non-iterative method for no missing data
is exact and way faster.
verbose
Boolean. Output logging info.
Value
List of REMLE parameters in slots coef, ve,
and vg.
brandonjew/mcLMM documentation built on Dec. 19, 2021, 11:42 a.m.
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Description Usage Arguments Value
Description
Efficient REMLE for multi-context LMM
Usage
1 |
Arguments
Y |
Matrix with individuals as rows and measurements as columns Missing measurements must be NA |
X |
Matrix with |
force.iter |
Boolean. If TRUE, force iterative method even when there is no missing data. This is included for testing purposes only. The optimal non-iterative method for no missing data is exact and way faster. |
verbose |
Boolean. Output logging info. |
Value
List of REMLE parameters in slots coef, ve,
and vg.
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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