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fastqrs

Fast Algorithms for Quantile Regression with Selection

Fast estimation algorithms to implement the Quantile Regression with Selection estimator and the multiplicative Bootstrap for inference. This estimator can be used to estimate models that feature sample selection and heterogeneous effects in cross-sectional data. For more details, see Arellano and Bonhomme (2017) <doi:10.3982/ECTA14030> and Pereda-Fernández (2024) <doi:10.48550/arXiv.2402.16693>.

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VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 fastqrs_1.0.0.tar.gz 262.1 KiB
1.0.0 rolling linux/noble R-4.5 fastqrs_1.0.0.tar.gz 262.0 KiB
1.0.0 rolling source/ R- fastqrs_1.0.0.tar.gz 223.5 KiB
1.0.0 latest linux/jammy R-4.5 fastqrs_1.0.0.tar.gz 262.1 KiB
1.0.0 latest linux/noble R-4.5 fastqrs_1.0.0.tar.gz 262.0 KiB
1.0.0 latest source/ R- fastqrs_1.0.0.tar.gz 223.5 KiB
1.0.0 2026-04-26 source/ R- fastqrs_1.0.0.tar.gz 223.5 KiB
1.0.0 2026-04-23 source/ R- fastqrs_1.0.0.tar.gz 223.5 KiB
1.0.0 2026-04-09 windows/windows R-4.5 fastqrs_1.0.0.zip 264.8 KiB
1.0.0 2025-04-20 source/ R- fastqrs_1.0.0.tar.gz 223.5 KiB

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