DATASET: Synthetic data example
In maoyinan/BayesPC: R package for Bayesian Projection Clustering
Description
A longitudinal data set to demonstrate use of package containing ID, true group, time points, 10 random effects, and time dependent records
Usage
1
Format
A data frame with 4800 rows and 15 variables:
- ID
Identity number of time series
- Group
Group number
- Time
Time points
- t
Scaled time points ranging between 0 and 1
- Record
Observations along time points
- Z1
First random effect, intercept term
- Z2,Z3,Z4,Z5,Z6,Z7,Z8,Z9,Z10
Random effects of Fourier cosine basis of order 1: Z_i=cos(pi*(i-1)*t)
maoyinan/BayesPC documentation built on Dec. 21, 2021, 1:48 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
A longitudinal data set to demonstrate use of package containing ID, true group, time points, 10 random effects, and time dependent records
Usage
1 |
Format
A data frame with 4800 rows and 15 variables:
- ID
Identity number of time series
- Group
Group number
- Time
Time points
- t
Scaled time points ranging between 0 and 1
- Record
Observations along time points
- Z1
First random effect, intercept term
- Z2,Z3,Z4,Z5,Z6,Z7,Z8,Z9,Z10
Random effects of Fourier cosine basis of order 1: Z_i=cos(pi*(i-1)*t)
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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