unconstrained.unpenalized: Estimate unconstrained model parameters.
In messi: Mediation with External Summary Statistic Information
unconstrained.unpenalized R Documentation
Estimate unconstrained model parameters.
Description
Estimate unconstrained model parameters.
Usage
unconstrained.unpenalized(Y, M, A, C = NULL)
Arguments
Y
A (n x 1) continuous outcome vector.
M
A (n x p_m) matrix of mediators.
A
A (n x 1) vector of exposures.
C
A (n x p_c) matrix of confounders and adjustment covariates. If there are no confounders or adjustment covariates set C = NULL.
Value
A list containing point estimates of the unconstrained model parameters.
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| unconstrained.unpenalized | R Documentation |
Estimate unconstrained model parameters.
Description
Estimate unconstrained model parameters.
Usage
unconstrained.unpenalized(Y, M, A, C = NULL)
Arguments
Y |
A (n x 1) continuous outcome vector. |
M |
A (n x p_m) matrix of mediators. |
A |
A (n x 1) vector of exposures. |
C |
A (n x p_c) matrix of confounders and adjustment covariates. If there are no confounders or adjustment covariates set C = NULL. |
Value
A list containing point estimates of the unconstrained model parameters.
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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