Nothing
README.md
In fPASS: Power and Sample Size for Projection Test under Repeated Measures
fPASS: Power and Sample Size Analysis for Projection-Based Testing of Mean Difference under Repeated Measures Design
The details of the power and sample size formula and the relevant
computational details are documented in the
manuscript.
The users are encourage to see Wang
(2021) and Koner and Luo
(2023) for further details about the
testing procedure.
fPASS is designed to make it quick and easy software for randomized
clinical trial simulation tool for determining treatment efficacy where
the response collected under a longitudinal or functional design. The
current development version of the package can be installed by running
the following.
Installation
wzxhzdk:0
Vignettes
If you want to install the package with the vignettes to be built, then
run
# Install development version from GitHub with the vignettes.
# Vignettes takes about 5-7 minutes to run.
devtools::install_github("SalilKoner/fPASS", build_vignettes = TRUE)
followed by browseVignettes("fPASS") to see the application of the
package in real life case studies.
Try the fPASS package in your browser
Any scripts or data that you put into this service are public.
fPASS documentation built on July 26, 2023, 5:08 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
fPASS: Power and Sample Size Analysis for Projection-Based Testing of Mean Difference under Repeated Measures Design
The details of the power and sample size formula and the relevant computational details are documented in the manuscript. The users are encourage to see Wang (2021) and Koner and Luo (2023) for further details about the testing procedure.
fPASS is designed to make it quick and easy software for randomized clinical trial simulation tool for determining treatment efficacy where the response collected under a longitudinal or functional design. The current development version of the package can be installed by running the following.
Installation
wzxhzdk:0
Vignettes
If you want to install the package with the vignettes to be built, then run
# Install development version from GitHub with the vignettes.
# Vignettes takes about 5-7 minutes to run.
devtools::install_github("SalilKoner/fPASS", build_vignettes = TRUE)
followed by browseVignettes("fPASS") to see the application of the
package in real life case studies.
Try the fPASS package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.