full_get_params: Get LMM parameters for data with no missing values
In brandonjew/mcLMM: Ultra-fast association testing across multiple contexts with linear mixed models
Description
Usage
Arguments
Value
Description
Get LMM parameters for data with no missing values
Usage
1
full_get_params(Y, X, REML = TRUE)
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.
REML
Boolean for returning REML or ML estimates
Value
A list with ve in slot ve, vg in slot vg,
estimated effect sizes and uncorrelated standard errors
in slot coef.
brandonjew/mcLMM documentation built on Dec. 19, 2021, 11:42 a.m.
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Description Usage Arguments Value
Description
Get LMM parameters for data with no missing values
Usage
1 | full_get_params(Y, X, REML = TRUE)
|
Arguments
Y |
Matrix with individuals as rows and measurements as columns Missing measurements must be NA. |
X |
Matrix with |
REML |
Boolean for returning REML or ML estimates |
Value
A list with ve in slot ve, vg in slot vg,
estimated effect sizes and uncorrelated standard errors
in slot coef.
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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