FunctionalDesignPrior class

A design prior given by its distribution functions, as the design priors conditioned on the target control rate are.

Super class

DesignPrior -> FunctionalDesignPrior

Public fields

cdf_function

Distribution function of the treatment effect.

pdf_function

Density of the treatment effect.

sample_function

Function of the number of draws returning draws.

Methods

Public methods

• FunctionalDesignPrior$new()

• FunctionalDesignPrior$sample()

• FunctionalDesignPrior$cdf()

• FunctionalDesignPrior$pdf()

• FunctionalDesignPrior$clone()

Inherited methods

• DesignPrior$create()
• DesignPrior$given_control_rate()

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FunctionalDesignPrior$new()

Creates a design prior from its distribution functions.

Usage

FunctionalDesignPrior$new(cdf, pdf, sample, design_prior_type)

Arguments

cdf, pdf, sample

The distribution function, density and sampler.

design_prior_type

The type of design prior it stands for.

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FunctionalDesignPrior$sample()

Samples from the design prior.

Usage

FunctionalDesignPrior$sample(n_samples)

Arguments

n_samples

The number of samples to generate.

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FunctionalDesignPrior$cdf()

The distribution function of the design prior.

Usage

FunctionalDesignPrior$cdf(x)

Arguments

x

The value at which to evaluate it.

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FunctionalDesignPrior$pdf()

The density of the design prior.

Usage

FunctionalDesignPrior$pdf(x)

Arguments

x

The value at which to evaluate it.

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FunctionalDesignPrior$clone()

The objects of this class are cloneable with this method.

Usage

FunctionalDesignPrior$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.