dataC: Simulated data from zero-inflated Gaussian regression model
In UHM: Unified Zero-Inflated Hurdle Regression Models
dataC R Documentation
Simulated data from zero-inflated Gaussian regression model
Description
Simulated data was generated with x1 following a Bernoulli distribution with a success probability of 0.4, x2 following a standard normal distribution, and y following a zero-inflated Gaussian regression model.
Usage
dataC
Format
A data frame which contains x1, x2 and y.
- y
the response variable
- x1
Binary covariate
- x2
Continuous covariate
See Also
UHM,ZIHR
UHM documentation built on May 29, 2024, 10:42 a.m.
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| dataC | R Documentation |
Simulated data from zero-inflated Gaussian regression model
Description
Simulated data was generated with x1 following a Bernoulli distribution with a success probability of 0.4, x2 following a standard normal distribution, and y following a zero-inflated Gaussian regression model.
Usage
dataC
Format
A data frame which contains x1, x2 and y.
- y
the response variable
- x1
Binary covariate
- x2
Continuous covariate
See Also
UHM,ZIHR
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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