Title: Kendall's Tau Partial Corr. for Survival Trait and Biomarkers
Description: We propose the inverse probability-of-censoring weighted (IPCW) Kendall's tau to measure the association of the survival trait with biomarkers and Kendall's partial correlation to reflect the relationship of the survival trait with interaction variable conditional on main effects, as described in Wang and Chen (2020) <doi:10.1093/bioinformatics/btaa017>.
Depends: R (>= 3.4.3), MASS, survival, stats, utils

Maintainer: Sheeja Manchira Krishnan <sheejamk@gmail.com>
Description: Checks files for existence, read access and checks individual columns for formats.
Currently implemented for gender and age formats.
Imports: dplyr, testthat (>= 1.0.2), GlobalOptions (>= 0.1.0),

Title: Basic Functions to Check the Readability, Consistency, and
Content of an Individual Participant/Patient Data File from a

Title: Basic Functions to Check Readability, Consistency, and Content
Description: Basic checks to be carried out with an individual level participant data from randomised controlled trial. This
checks files for existence, read access and individual columns for formats. The checks on format is currently implemented for gender and age formats.

Description: Basic checks needed with an individual level participant data from randomised controlled trial. This

lubridate, methods, eeptools, hash, kableExtra

Imports: dplyr, testthat, lubridate, methods, eeptools, hash,
kableExtra, gtsummary, effsize, stringr, tidyverse

kableExtra, gtsummary, effsize, stringr, tidyverse, tidyselect,

Title: Map Digitized Survival Curves Back to Individual Patient Data
An implementation to reconstruct individual patient data from Kaplan-Meier (K-M) survival curves, visualize and assess the accuracy of the reconstruction, then perform secondary analysis on the reconstructed data. We involve a simple function to extract the coordinates form the published K-M curves. The function is developed based on Poisot T. ’s digitize package (2011)  <doi:10.32614/RJ-2011-004> . For more complex and tangled together graphs, digitizing software, such as 'DigitizeIt' (for MAC or windows) or 'ScanIt'(for windows) can be used to get the coordinates. Additional information should also be involved to increase the accuracy, like numbers of patients at risk (often reported at 5-10 time points under the x-axis of the K-M graph), total number of patients, and total number of events. The package implements the modified iterative K-M estimation algorithm (modified-iKM) improved upon the approach proposed by Guyot (2012) <doi:10.1186/1471-2288-12-9> with some modifications.
Depends: R (>= 3.6.0), ggplot2, dplyr, survival, gridExtra,readbitmap