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dataEx

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

A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm

v2.0.5
GPL (>= 2.0)
Authors
Viviane Philipps, Cecile Proust-Lima, Melanie Prague, Boris Hejblum, Daniel Commenges, Amadou Diakite
Initial release
2021-03-30

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