Code for estimating quantile regressions with measurement error. The first main set of functions estimates quantile regression with measurement error in the dependent variable using an EM-type-algorithm. The second set of functions estimates quantile regressions with measurement error in the outcome and in a continuous "treatment" variable. All functions allow for an arbitrary number of other covariates that are assumed not to be measured with error.
Package details |
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Maintainer | |
License | GPL-2 |
Version | 1.0.0 |
Package repository | View on GitHub |
Installation |
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