conditioning: Determine conditioning order
In sebastianueckert/vaplot: Variability Attribution Plots for Nonlinear Mixed Effect Models
Description
Usage
Arguments
Value
Functions
Description
These functions automatically generate a conditioning order based on the available information.
Usage
1
2
3
Arguments
va_input
An input data structure as produced by the prepare_va_* functions
Value
A list of variable names
Functions
-
default_conditioning: Conditions first on each of the covariates and then on each of the random effects
-
grouped_covariates_conditioning: Conditions first jointly on all covariates and then on each of the random effects
sebastianueckert/vaplot documentation built on Sept. 1, 2021, 11:24 a.m.
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Description Usage Arguments Value Functions
Description
These functions automatically generate a conditioning order based on the available information.
Usage
1 2 3 |
Arguments
va_input |
An input data structure as produced by the prepare_va_* functions |
Value
A list of variable names
Functions
-
default_conditioning: Conditions first on each of the covariates and then on each of the random effects -
grouped_covariates_conditioning: Conditions first jointly on all covariates and then on each of the random effects
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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