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  "Title": "Nonparametric Multiple Expectile Regression via ER-Boost",
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  "Authors@R": "c(\nperson(\"Yi\", \"Yang\", email = \"yi.yang6@mcgill.ca\",\nrole = c(\"aut\", \"cre\"), comment = \"http://www.math.mcgill.ca/yyang/\"),\nperson(\"Hui\", \"Zou\", email = \"hzou@stat.umn.edu\",\nrole = c(\"aut\"), comment = \"http://users.stat.umn.edu/~zouxx019/\"),\nperson(\"Greg\", \"Ridgeway\", email = \"gregridgeway@gmail.com\",\nrole = c(\"ctb\",\"cph\"))\n)",
  "Description": "Expectile regression is a nice tool for estimating the\nconditional expectiles of a response variable given a set of\ncovariates. This package implements a regression tree based\ngradient boosting estimator for nonparametric multiple\nexpectile regression, proposed by Yang, Y., Qian, W. and Zou,\nH. (2018) <doi:10.1080/00949655.2013.876024>. The code is based\non the 'gbm' package originally developed by Greg Ridgeway.",
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