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RARfreq

The goal of RARfreq is to …

Installation

You can install the development version of RARfreq like so:

install.packages("path/to/RARfreq_0.1.0.tar.gz", repos = NULL, type = "source")

Development

You can update the source code of the package and build the package using the following codes:

library(devtools)

check()
install()

library(RARfreq)
?power_comparison_Power_vs_n

build()
build(binary = T, vignettes = T, manual = T)

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Version

Install

install.packages('RARfreq')

Monthly Downloads

679

Version

0.1.4

License

MIT + file LICENSE

Maintainer

Xiu Huang

Last Published

April 4th, 2023

Functions in RARfreq (0.1.4)

power_comparison_Power_vs_n

Comparison of Powers for Different Tests under Different DBCD Randomization Methods (Binary Responses)

SEU_simulation_main

Sequential Estimation-adjusted Urn Model with Simulated Data (Binary Data)

simulation_main_GAUSSIAN

Doubly Adaptive Biased Coin Design with Simulated Data (Gaussian Responses)

power_comparison_Power_vs_Trt

Comparison of Powers for Treatment Effects under Different DBCD Randomization Methods (Binary Responses)

simulation_main

Doubly Adaptive Biased Coin Design with Simulated Data (Binary Responses)

SEU_simulation_main_GAUSSIAN

Sequential Estimation-adjusted Urn Model with Simulated Data (Gaussian Responses)

power_comparison_Power_vs_n_GAUSSIAN

Comparison of Powers for Different Tests under Different DBCD Randomization Methods (Gaussian Responses)

power_comparison_Power_vs_Trt_GAUSSIAN

Comparison of Powers for Treatment Effects under Different DBCD Randomization methods (Gaussian Responses)

Sequential Estimation-adjusted Urn Model (Binary Data)

Doubly Adaptive Biased Coin Design (Binary Responses)

SEU_power_comparison_Power_vs_n_GAUSSIAN

Comparison of Powers for Sample Sizes under Different SEU Randomization Methods (Gaussian Responses)

DBCD_BINARY_raw

Doubly Adaptive Biased Coin Design (Binary Data Frame)

SEU_power_comparison_Power_vs_Trt_GAUSSIAN

Comparison of Powers for Treatment Effects under Different SEU Randomization Methods (Gaussian Responses)

SEU_power_comparison_Power_vs_Trt

Comparison of Powers for Treatment Effects under Different SEU Randomization Methods (Binary Responses)

Doubly Adaptive Biased Coin Design (Gaussian Responses)

SEU_power_comparison_Power_vs_n

Comparison of Powers for Sample Sizes under Different SEU Randomization Methods (Binary Responses)

SEU_GAUSSIAN_raw

Sequential Estimation-adjusted Urn Model (Gaussian Responses)

DBCD_GAUSSIAN_raw

Doubly Adaptive Biased Coin Design (Gaussian Responses)