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Showing content from https://cran.r-project.org/web/packages/rms/../MASS/../bayesassurance/readme/README.html below:

README

This R package offers a constructive set of simulation-based functions used for determining sample size and assurance in various settings. We hope these functions will be useful for addressing a wide range of clinical trial study design problems.

To install the bayesassurance package in R, there are several ways to compile the package from source as the package is not yet available on CRAN.

1. Open R Studio.
2. Make sure devtools is installed and loaded. If not, run install.packages("devtools") and load the package using library(devtools) once installation is complete.
3. Install the bayesassurance package directly through Github by running devtools::install_github("jpan928/bayesassurance_rpackage"). You may be asked to install Rtools on a Windows machine.
4. If prompted with “These packages have more recent versions available. It is recommended to update all of them. Which would you like to update?”, type “1” and press Enter.
5. Load package using library(bayesassurance) and start using package normally.

Alternatively, you can build the package using the tar.gz file.

1. Download the bayesassurance_0.1.0.tar.gz file.
2. Open R Studio.
3. In the R prompt, navigate to where this file is stored using setwd("your/filepath/here").
4. Run install.packages("bayesassurance_0.1.0.tar.gz", repos = NULL, type = "source").
5. Load package using library(bayesassurance) and start using package normally.

1. Download the bayesassurance_0.1.0.tar.gz file.
2. Open R Studio.
3. In the R prompt, navigate to where this file is stored using setwd("your/filepath/here").
4. Run install.packages("bayesassurance_0.1.0.tar.gz", repos = NULL, type = "source"). You may be asked to install Rtools.
5. Load package using library(bayesassurance) and start using package normally.

1. Download the bayesassurance_0.1.0.tar.gz file.
2. Open command prompt.
3. Identify path of the folder to where R is installed and run PATH <your/filepath/here>. An example of this file path is C:Files.3.
4. On the same command prompt, navigate to the directory containing bayesassurance_0.1.0.tar.gz.
5. Enter R CMD INSTALL bayesassurance_0.1.0.tar.gz to install the package.
6. Open R Studio and run library(bayesassurance) and start using package normally.

For JSS reviewers, R scripts containing the necessary code to reproduce figures and examples in the manuscript can be found under Replication_Material. Please refer to the main script file, replication_script.R, and work through the examples in chronological order. The script includes all worked out examples and figures in the order in which they appear in the manuscript. It will also point you to the supplementary R Markdown files (fig7_replication.Rmd, fig9_replication.Rmd, and fig10_replication.Rmd) where appropriate.

Vignettes are currently undergoing revisions and will be available soon.

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