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  "Title": "Boosted Multivariate Trees for Longitudinal Data",
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  "Author": "Hemant Ishwaran [aut], Amol Pande [aut], Udaya B. Kogalur [aut,\ncre]",
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  "Description": "Implements Friedman's gradient descent boosting algorithm\nfor modeling longitudinal response using multivariate tree base\nlearners. Longitudinal response could be continuous, binary,\nnominal or ordinal.  A time-covariate interaction effect is\nmodeled using penalized B-splines (P-splines) with estimated\nadaptive smoothing parameter. Although the package is design\nfor longitudinal data, it can handle cross-sectional data as\nwell. Implementation details are provided in Pande et al.\n(2017), Mach Learn <DOI:10.1007/s10994-016-5597-1>.",
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