tumgr is a tool to obtain tumor growth rates from clinical trial patient data. Output includes individual and summary data for tumor growth rate estimates as well as optional plots of the observed and predicted tumor quantity over time. Tumor growth rates can be used to compare treatment efficacy and help predict overall survival in clinical trial datasets.
View the app here
To install the CRAN version:
install.packages("tumgr") To install the latest developmental version on GitHub:
install.packages("devtools")
devtools::install_github("wilkersj/tumgr")# load library
library(tumgr)## Warning: package 'tumgr' was built under R version 3.3.1
## Loading required package: minpack.lm
# example data
data(sampleData)# generate some sample plots
par(mfrow=c(2, 3))
out <- gdrate(sampleData[18:67, ], 0.10, TRUE)
par(mfrow=c(1, 1))
# generate results with plots set to off
out <- gdrate(sampleData, 0.10, FALSE)
# summary of cases
out$models## Group Analyzed Type N Percentage
## 1 excluded no 2 evals not 20% diff 1 1
## 2 excluded yes not fit 5 7
## 3 excluded no only 1 eval 5 7
## 4 included yes dx 22 32
## 5 included yes gd 25 37
## 6 included yes gdphi 6 9
## 7 included yes gx 4 6
# descriptive statistics
out$sumstats## Parameter N Median IQR Mean SD
## 1 g 35 0.001414 (0.000856, 0.003975) 0.003258 0.003956
## 2 d 53 0.020427 (0.014466, 0.034447) 0.024 0.015579
## 3 phi 6 0.987381 (0.866022, 0.997283) 0.891717 0.180361