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Package boost
July 23, 2017,
Title Modeled Boosting
Version 2.81
Date 20170719
Description Functional gradient descent algorithm
(boosting) for optimizing general risk functions utilizing
component
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What is package mboost?
Package mboost is a software package in R that provides model-based boosting algorithms for fitting generalized linear, additive, and interaction models.
Who is required to file package mboost?
Anyone using the package mboost in their R programming projects is required to file it.
How to fill out package mboost?
To fill out package mboost, you need to install the package in R and then use the functions provided to fit models and analyze data.
What is the purpose of package mboost?
The purpose of package mboost is to provide a tool for fitting complex statistical models using boosting algorithms.
What information must be reported on package mboost?
Information related to the data set being analyzed, the model being fitted, and the results of the analysis must be reported on package mboost.
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