{"package":"conquer","ecosystem":"cran","exists":true,"latest_version":"1.3.3","repository":"https://github.com/XiaoouPan/conquer","license":"GPL-3","description":"Convolution-Type Smoothed Quantile Regression. Estimation and inference for conditional linear quantile regression models using a convolution smoothed approach. In the low-dimensional setting, efficient gradient-based methods are employed for fitting both a single model and a regression process over a quantile range. Normal-based and (multiplier","downloads_weekly":1508,"deprecated":false,"health":{"score":42},"_cache":"db_only_bot","_partial":true,"_response_ms":0,"_powered_by":"depscope.dev — bot fast path (DB-only)","recommendation":{"action":"review"}}