densityHAL: Fit a 1-d density using HAL regression

In wilsoncai1992/TMLEbootstrap: Bootstrap Confidence Intervals for Targeted Maximum Likelihood Estimators

Description

perform binning first then run a HAL classifier

Methods

Public methods

• densityHAL$new()

• densityHAL$fit()

• densityHAL$predict()

• densityHAL$predict_long()

• densityHAL$eval_misclass_loss()

• densityHAL$eval_crossentropy_loss()

• densityHAL$clone()

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Method new()

Usage

densityHAL$new(x, longiData)

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Method fit()

Usage

densityHAL$fit(lambda = 2e-05, ...)

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Method predict()

Usage

densityHAL$predict(new_x = NULL)

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Method predict_long()

Usage

densityHAL$predict_long(new_x = NULL)

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Method eval_misclass_loss()

Usage

densityHAL$eval_misclass_loss(new_x = NULL)

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Method eval_crossentropy_loss()

Usage

densityHAL$eval_crossentropy_loss(new_x = NULL)

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Method clone()

The objects of this class are cloneable with this method.

Usage

densityHAL$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

wilsoncai1992/TMLEbootstrap documentation built on Feb. 27, 2021, 7:57 a.m.