Package: dtComb 1.0.8

Gokmen Zararsiz

dtComb: Statistical Combination of Diagnostic Tests

A system for combining two diagnostic tests using various approaches that include statistical and machine-learning-based methodologies. These approaches are divided into four groups: linear combination methods, non-linear combination methods, mathematical operators, and machine learning algorithms. See the <https://biotools.erciyes.edu.tr/dtComb/> website for more information, documentation, and examples.

Authors:Serra Ilayda Yerlitas Tastan [aut, ctb], Serra Bersan Gengec [aut, ctb], Necla Kochan [aut, ctb], Gozde Erturk Zararsiz [aut, ctb], Selcuk Korkmaz [aut, ctb], Gokmen Zararsiz [aut, ctb, cre]

dtComb_1.0.8.tar.gz
dtComb_1.0.8.zip(r-4.7)dtComb_1.0.8.zip(r-4.6)dtComb_1.0.8.zip(r-4.5)
dtComb_1.0.8.tgz(r-4.6-any)dtComb_1.0.8.tgz(r-4.5-any)
dtComb_1.0.8.tar.gz(r-4.7-any)dtComb_1.0.8.tar.gz(r-4.6-any)
dtComb_1.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dtComb/json (API)

# Install 'dtComb' in R:

install.packages('dtComb', repos = c('https://gokmenzararsiz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gokmenzararsiz/dtcomb/issues

Datasets:

allMethods - Machine learning model table for mlComb() Includes machine learning models used for the mlComb function
exampleData2 - Biomarker data from carriers of a rare genetic disorder A data set containing the carriers of a rare genetic disorder for 120 samples.
exampleData3 - Simulated data with healthy and diseased individuals A simulation data containing 250 diseased and 250 healthy individuals.
laparotomy - Diagnostic laparotomy dataset A data set containing the results of diagnostic laparotomy procedures for 225 patients.

On CRAN:

4.11 score 13 scripts 286 downloads 13 exports 159 dependencies

Last updated from:51613bf82b. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	269
source / vignettes	OK	279
linux-release-x86_64	NOTE	239
macos-release-arm64	NOTE	192
macos-oldrel-arm64	NOTE	105
windows-devel	NOTE	166
windows-release	NOTE	156
windows-oldrel	NOTE	148
wasm-release	OK	210

Exports:availableMethods helper_minimax helper_minmax helper_PCL helper_PT helper_TS linComb mathComb mlComb nonlinComb plotComb std.train transform_math

Dependencies:abind askpass backports base64enc BiasedUrn boot broom bslib cachem car carData caret class classInt cli clock codetools colorspace corrplot cowplot cpp11 data.table DBI Deriv diagram digest doBy dplyr e1071 epiR evaluate farver fastmap flextable fontawesome fontBitstreamVera fontLiberation fontquiver foreach forecast Formula fracdiff fs future future.apply gam gdtools generics ggplot2 ggpubr ggrepel ggsci ggsignif glmnet globals glue gower gridExtra gtable hardhat highr htmltools ipred isoband iterators jquerylib jsonlite KernSmooth knitr labeling lattice lava lifecycle listenv lme4 lmtest lubridate magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa ModelMetrics modelr nlme nloptr nnet numDeriv officer openssl OptimalCutpoints pander parallelly pbkrtest pillar pkgconfig plyr polynom pROC prodlim progressr proxy purrr quantreg R6 ragg rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack recipes reformulas reshape2 rlang rmarkdown rpart rstatix s2 S7 sass scales sf shape SparseM sparsevctrs SQUAREM stringi stringr survival sys systemfonts textshaping tibble tidyr tidyselect timechange timeDate tinytex tzdb units urca utf8 uuid vctrs viridisLite withr wk xfun xml2 yaml zip zoo

dtComb

Rendered fromvignettedtComb.Rnwusingknitr::knitr

Last update: 2026-06-28
Started: 2024-08-11

Help page	Topics
Machine learning model table for mlComb() Includes machine learning models used for the mlComb function	allMethods
Available classification/regression methods in 'dtComb'	availableMethods
dtComb: A Comprehensive R Package for Combining Diagnostic Tests	dtComb-package dtComb
Biomarker data from carriers of a rare genetic disorder A data set containing the carriers of a rare genetic disorder for 120 samples.	exampleData2
Simulated data with healthy and diseased individuals A simulation data containing 250 diseased and 250 healthy individuals.	exampleData3
Helper function for minimax method.	helper_minimax
Helper function for minmax method.	helper_minmax
Helper function for PCL method.	helper_PCL
Helper function for PT method.	helper_PT
Helper function for TS method.	helper_TS
Calculate Cohen's kappa and accuracy.	kappa.accuracy
Diagnostic laparotomy dataset A data set containing the results of diagnostic laparotomy procedures for 225 patients.	laparotomy
Linear Combination Methods for Diagnostic Test Scores	linComb
Combine two diagnostic tests with several mathematical operators and distance measures.	mathComb
Combine two diagnostic tests with Machine Learning Algorithms.	mlComb
Combine two diagnostic tests with several non-linear combination methods.	nonlinComb
Plot the combination scores using the training model	plotComb
Predict combination scores and labels for new data sets using the training model	predict.dtComb
Print the summary of linComb, nonlinComb, mlComb and mathComb functions.	print_train
Generate ROC curves and related statistics for the given markers and Combination score.	rocsum
Standardization according to the training model parameters.	std.test
Standardization according to the chosen method.	std.train
Mathematical transformations for biomarkers	transform_math

Package: dtComb 1.0.8

dtComb: Statistical Combination of Diagnostic Tests

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Help Manual

Usage by other packages (reverse dependencies)