two_error_data: Simulated data with two covariates with classical measurement...
In inlamemi: Missing Data and Measurement Error Modelling in INLA
two_error_data R Documentation
Simulated data with two covariates with classical measurement error
Description
A simulated dataset to demonstrate how to set up a model in the case where there are two variables with measurement error.
Usage
two_error_data
Format
## 'two_error_data'
A data frame with 1000 rows and 5 columns:
- y
Response variable
- x1
Covariate measured with classical error, correlated with z
- x2
Covariate measured with classical error
- x1_true
Correct version of x1
- x2_true
Correct version of x2
- z
Error free covariate, correlated with x1
Source
The dataset is simulated.
inlamemi documentation built on Oct. 31, 2024, 5:08 p.m.
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| two_error_data | R Documentation |
Simulated data with two covariates with classical measurement error
Description
A simulated dataset to demonstrate how to set up a model in the case where there are two variables with measurement error.
Usage
two_error_data
Format
## 'two_error_data' A data frame with 1000 rows and 5 columns:
- y
Response variable
- x1
Covariate measured with classical error, correlated with z
- x2
Covariate measured with classical error
- x1_true
Correct version of x1
- x2_true
Correct version of x2
- z
Error free covariate, correlated with x1
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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