dataEx: Simulated dataset
In marqLevAlg: A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm
dataEx R Documentation
Simulated dataset
Description
Sample of 500 subjects simulated according to a linear mixed model.
The fixed part of the model included an intercept, 2 natural cubic splines on time
and their interactions with time-independent covariates X1, X2 and X3.
A random intercept and a independant error term were also inclued.
Format
A data frame with 2429 observations on the following 6 variables.
- i
subject identification number
- t
time of measurement
- X1
binary covariate
- X2
continous Gaussian standard variable
- X3
continous Gaussian variable
- Y
longitudinal outcome
marqLevAlg documentation built on March 31, 2023, 6:33 p.m.
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| dataEx | R Documentation |
Simulated dataset
Description
Sample of 500 subjects simulated according to a linear mixed model. The fixed part of the model included an intercept, 2 natural cubic splines on time and their interactions with time-independent covariates X1, X2 and X3. A random intercept and a independant error term were also inclued.
Format
A data frame with 2429 observations on the following 6 variables.
- i
subject identification number
- t
time of measurement
- X1
binary covariate
- X2
continous Gaussian standard variable
- X3
continous Gaussian variable
- Y
longitudinal outcome
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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