R: Analysis of Data with Measurement Error Using a Validation Subsample

# Analysis of Data with Measurement Error Using a Validation Subsample

## Documentation for package ‘meerva’ version 0.2-2

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

compmse | Comapre bias, var and MSE
coverage | Calculate coverage probabilties
coverage2 | Compare coverage probabilities between two estimators on matched simulations
dfbetac | Sum dfbeta s According to id_vector Clusters
meerva | Analysis of Data with Measurement Error Using a Validation Subsample
meerva.fit | Analysis of Data with Measurement Error Using a Validation Subsample
meerva.sim.block | Simulation of meerva used to Analyze Data with Measurement Error
meerva.sim.brn | Simulate logistic Regression Data with Measurement Errors in Outcome and Predictors
meerva.sim.cox | Simulate Cox Regression Data with Measurement Errors in Outcome and Predictors
meerva.sim.nrm | Simulate Linear Regression Data with Measurement Errors in Outcome and Predictors
myttest | A simple summary description
plot.meerva.sim | Plot results for meerva.sim output object generated by meerva.sim.block function
print.meerva | Print Minimal Summary Information for a meerva Output Object
print.meerva.sim | Print Information for a meerva.sim Simulation Study Output Object (alias for summary.meerva.fit())
reldif | Calculate relative differences
subvec | Subtract a vector from each row of a matrix
summary.meerva | Summarize Information for a meerva Output Object
summary.meerva.sim | Summarize Information for a meerva.sim Simulation Study Output Object
ztest | Ztest for beta coefficients