sim_posterior_probs: Generate approximate samples of predicted probabilities from...
In lauken13/mrpkit: Multilevel Regression with Post-Stratification
sim_posterior_probs R Documentation
Generate approximate samples of predicted probabilities from a binomial
glmerMod object.
Description
Generate approximate samples of predicted probabilities from a binomial
glmerMod object.
Usage
sim_posterior_probs(object, newdata, nsamples = 4000)
Arguments
object
A binomial model fit using lme4::glmer().
newdata
The data to use.
nsamples
Number of samples to generate.
Value
A matrix with nrow(newdata) rows and nsamples columns.
lauken13/mrpkit documentation built on Aug. 6, 2023, 3:42 a.m.
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| sim_posterior_probs | R Documentation |
Generate approximate samples of predicted probabilities from a binomial
glmerMod object.
Description
Generate approximate samples of predicted probabilities from a binomial
glmerMod object.
Usage
sim_posterior_probs(object, newdata, nsamples = 4000)
Arguments
object |
A binomial model fit using |
newdata |
The data to use. |
nsamples |
Number of samples to generate. |
Value
A matrix with nrow(newdata) rows and nsamples columns.
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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