ItltSimulation1: Simulation for longitudinal datasets
In yishuwei2019/itlt: Interaction tree for longitudinal trajectories
Description
Usage
Arguments
Value
Examples
View source: R/itlt_simulation.R
Description
Simulation for longitudinal datasets
Usage
1
2
ItltSimulation1(N, tf, e = 0.2, p = 0.2, asigma = 0.5,
seed = "1234", type = 1)
Arguments
N
sample size
tf
time frame
e
error standard deviation
p
missing value probability
asigma
sd of subject specific random effect
seed
seed for random number
type
simulation setting (1: non-linearity, 2: periodicity,
3: non-linearity, 4: no heteorogeneity in treatment effect)
Value
a simulated longitudinal dataset
Examples
1
sample <- ItltSimulation1(250, 1:12)
yishuwei2019/itlt documentation built on July 8, 2021, 5:15 p.m.
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Description Usage Arguments Value Examples
View source: R/itlt_simulation.R
Description
Simulation for longitudinal datasets
Usage
1 2 | ItltSimulation1(N, tf, e = 0.2, p = 0.2, asigma = 0.5,
seed = "1234", type = 1)
|
Arguments
N |
sample size |
tf |
time frame |
e |
error standard deviation |
p |
missing value probability |
asigma |
sd of subject specific random effect |
seed |
seed for random number |
type |
simulation setting (1: non-linearity, 2: periodicity, 3: non-linearity, 4: no heteorogeneity in treatment effect) |
Value
a simulated longitudinal dataset
Examples
1 | sample <- ItltSimulation1(250, 1:12)
|
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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