{ "_id": "6a1fd63ab401979e73436777", "Package": "SAM", "Type": "Package", "Title": "Sparse Additive Modelling", "Version": "1.1.3", "Author": "Haoming Jiang, Yukun Ma, Han Liu, Kathryn Roeder, Xingguo Li,\nand Tuo Zhao", "Maintainer": "Haoming Jiang ", "Description": "Computationally efficient tools for high dimensional\npredictive modeling (regression and classification). SAM is\nshort for sparse additive modeling, and adopts the\ncomputationally efficient basis spline technique. We solve the\noptimization problems by various computational algorithms\nincluding the block coordinate descent algorithm, fast\niterative soft-thresholding algorithm, and newton method. 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