dot-sim_ci_ologit: Generate Simulation-based CIs from Ordered Logit Model
In baruuum/btoolbox: random toolbox
Description
Usage
Arguments
Value
Description
Generate Simulation-based CIs from Ordered Logit Model
Usage
1
.sim_ci_ologit(mu, Sigma, X, level, n_sim)
Arguments
mu
estimated regression coefficients; regression parameters, followed by cutpoints
Sigma
variance-covariance of mu
X
matrix of values at which predictions should be made
level
confidence level
n_sim
number of simulation draws
Value
simulation-based CIs
baruuum/btoolbox documentation built on Aug. 17, 2020, 1:29 a.m.
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Description Usage Arguments Value
Description
Generate Simulation-based CIs from Ordered Logit Model
Usage
1 | .sim_ci_ologit(mu, Sigma, X, level, n_sim)
|
Arguments
mu |
estimated regression coefficients; regression parameters, followed by cutpoints |
Sigma |
variance-covariance of mu |
X |
matrix of values at which predictions should be made |
level |
confidence level |
n_sim |
number of simulation draws |
Value
simulation-based CIs
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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