ordinalex: Multivariate ordinal data set
In YafeiXu/CopulaModel: CopulaModel: Dependence Modeling with Copulas
Description
A simulated data set yy (200x4) with a repeated measures ordinal response
with 4 measurements and 3 categories,
a covariate matrix xx (200x4) with values in (-1,1).
The values used for the simulation are:
b0cut[1]=-0.5, b0cut[2]=0.5, b1=0.4, latent AR(1) correlation=0.5
Usage
1
Format
The following are components.
b0cutcutpoints for the intercept b0
b1slope b1
ddimension of repeated measures
ncategnumber of ordinal categories
nclnumber of clusters
rmatlatent correlation matrix
xx200x4 covariate matrix with values in (-1,1)
yy200x4 response variable matrix with values in 1,2,3
YafeiXu/CopulaModel documentation built on May 9, 2019, 11:07 p.m.
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Description
A simulated data set yy (200x4) with a repeated measures ordinal response with 4 measurements and 3 categories, a covariate matrix xx (200x4) with values in (-1,1). The values used for the simulation are: b0cut[1]=-0.5, b0cut[2]=0.5, b1=0.4, latent AR(1) correlation=0.5
Usage
1 |
Format
The following are components.
b0cutcutpoints for the intercept b0
b1slope b1
ddimension of repeated measures
ncategnumber of ordinal categories
nclnumber of clusters
rmatlatent correlation matrix
xx200x4 covariate matrix with values in (-1,1)
yy200x4 response variable matrix with values in 1,2,3
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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