mar_data: Simulated data with observation missing at random (MAR)
In inlamemi: Missing Data and Measurement Error Modelling in INLA
mar_data R Documentation
Simulated data with observation missing at random (MAR)
Description
A simulated dataset to demonstrate how to set up a model in the case where there are two variables with measurement error.
Usage
mar_data
Format
## 'mar_data'
A data frame with 1000 rows and 5 columns:
- y
Response variable
- x
Observed value of covariate, with almost 20 percent missing
- x_true
Correct version of x, without missingness
- z1
Covariate correlated with x
- z2
Covariate correlated with the missingness of x
Source
The dataset is simulated.
inlamemi documentation built on Oct. 31, 2024, 5:08 p.m.
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| mar_data | R Documentation |
Simulated data with observation missing at random (MAR)
Description
A simulated dataset to demonstrate how to set up a model in the case where there are two variables with measurement error.
Usage
mar_data
Format
## 'mar_data' A data frame with 1000 rows and 5 columns:
- y
Response variable
- x
Observed value of covariate, with almost 20 percent missing
- x_true
Correct version of x, without missingness
- z1
Covariate correlated with x
- z2
Covariate correlated with the missingness of x
Source
The dataset is simulated.
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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