simple_data: Simple simulated data
In inlamemi: Missing Data and Measurement Error Modelling in INLA
simple_data R Documentation
Simple simulated data
Description
A simulated dataset to demonstrate how to model different types of measurement error and missing data using the 'inlamemi' package.
Usage
simple_data
Format
## 'simple_data'
A data frame with 1000 rows and 4 columns:
- y
Response variable
- x
Covariate measured with error, both Berkson and classical error and missing observations
- x_true
Correct version of the covariate with error
- z
Error free covariate, correlated with x
Source
The dataset is simulated.
inlamemi documentation built on Oct. 31, 2024, 5:08 p.m.
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| simple_data | R Documentation |
Simple simulated data
Description
A simulated dataset to demonstrate how to model different types of measurement error and missing data using the 'inlamemi' package.
Usage
simple_data
Format
## 'simple_data' A data frame with 1000 rows and 4 columns:
- y
Response variable
- x
Covariate measured with error, both Berkson and classical error and missing observations
- x_true
Correct version of the covariate with error
- z
Error free covariate, correlated with 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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