MMPois: Simulated data for a simple mixed model with Poisson response
In BSagri: Safety Assessment in Agricultural Field Trials
Description
Usage
Format
Source
Examples
Description
A fixed factor F (four levels) and a random factor (five levels), modifying the mean response (random Intercept)
Y is a variable following a Poisson distribution.
Usage
1
Format
A data frame with 160 observations on the following 3 variables.
Ya numeric vector, the Poisson distributed response.
Fa factor with levels F1 F2 F3 F4
Ra factor with levels R1 R2 R3 R4 R5
Source
simulation
Examples
1
2
3
BSagri documentation built on May 2, 2019, 8:29 a.m.
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Description Usage Format Source Examples
Description
A fixed factor F (four levels) and a random factor (five levels), modifying the mean response (random Intercept) Y is a variable following a Poisson distribution.
Usage
1 |
Format
A data frame with 160 observations on the following 3 variables.
Ya numeric vector, the Poisson distributed response.
Fa factor with levels
F1F2F3F4Ra factor with levels
R1R2R3R4R5
Source
simulation
Examples
1 2 3 |
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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