dot-compute_loo_resids: Compute residuals for a 'teeMod' object with leave-one-out...
In propertee: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment
.compute_loo_resids R Documentation
Compute residuals for a teeMod object with leave-one-out estimates
of the offset
Description
Compute residuals for a teeMod object with leave-one-out estimates
of the offset
Usage
.compute_loo_resids(x, cluster, ...)
Arguments
x
a teeMod object
cluster
vector of column names that identify clusters
Details
The residual for any observation also used for fitting the fitted_covariance_model
stored in the offset of x is replaced by an estimated residual
that uses a cluster leave-one-out estimate of the fitted_covariance_model
for generating a value of the offset.
propertee documentation built on Aug. 22, 2025, 1:09 a.m.
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| .compute_loo_resids | R Documentation |
Compute residuals for a teeMod object with leave-one-out estimates
of the offset
Description
Compute residuals for a teeMod object with leave-one-out estimates
of the offset
Usage
.compute_loo_resids(x, cluster, ...)
Arguments
x |
a |
cluster |
vector of column names that identify clusters |
Details
The residual for any observation also used for fitting the fitted_covariance_model
stored in the offset of x is replaced by an estimated residual
that uses a cluster leave-one-out estimate of the fitted_covariance_model
for generating a value of the offset.
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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