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hdnom  

Benchmarking and Visualization Toolkit for Penalized Cox Models
View on CRAN: Click here


Download and install hdnom package within the R console
Install from CRAN:
install.packages("hdnom")

Install from Github:
library("remotes")
install_github("cran/hdnom")

Install by package version:
library("remotes")
install_version("hdnom", "6.1.0")



Attach the package and use:
library("hdnom")
Maintained by
Nan Xiao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-08-28
Latest Update: 2025-06-09
Description:
Creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.
How to cite:
Nan Xiao (2015). hdnom: Benchmarking and Visualization Toolkit for Penalized Cox Models. R package version 6.1.0, https://cran.r-project.org/web/packages/hdnom. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.2 (2015-08-28 01:11), 2.0 (2015-09-16 18:51), 2.1 (2015-10-27 08:09), 3.0 (2016-01-04 22:18), 3.6 (2016-03-25 00:29), 4.0 (2016-07-05 23:43), 4.1 (2016-08-05 12:52), 4.2 (2016-10-22 12:17), 4.5 (2016-12-25 23:43), 4.6 (2017-01-08 12:02), 4.8 (2017-03-25 11:58), 4.9 (2017-09-29 05:47), 5.0 (2018-05-14 06:00), 6.0.0 (2019-06-23 07:10), 6.0.1 (2022-05-18 09:50), 6.0.2 (2023-04-24 07:20), 6.0.3 (2024-03-03 04:20), 6.0.4 (2024-09-05 10:10), 6.1.0 (2025-06-09 06:50)
Other packages that cited hdnom R package
View hdnom citation profile
Other R packages that hdnom depends, imports, suggests or enhances
Complete documentation for hdnom
Functions, R codes and Examples using the hdnom R package
Some associated functions: as_nomogram . calibrate . calibrate_external . calibrate_external_surv_prob_true . calibrate_surv_prob_true . compare_by_calibrate . compare_by_validate . fit_aenet . fit_alasso . fit_enet . fit_flasso . fit_lasso . fit_mcp . fit_mnet . fit_scad . fit_snet . glmnet_basesurv . glmnet_calibrate_external_surv_prob_pred . glmnet_calibrate_surv_prob_pred . glmnet_survcurve . glmnet_tune_alpha . glmnet_validate_external_tauc . glmnet_validate_tauc . hdnom-package . infer_variable_type . kmplot . kmplot_raw . logrank_test . ncvreg_basesurv . ncvreg_calibrate_external_surv_prob_pred . ncvreg_calibrate_surv_prob_pred . ncvreg_survcurve . ncvreg_tune_gamma . ncvreg_tune_gamma_alpha . ncvreg_validate_external_tauc . ncvreg_validate_tauc . palette_aaas . palette_jco . palette_lancet . palette_npg . penalized_basesurv . penalized_calibrate_external_surv_prob_pred . penalized_calibrate_surv_prob_pred . penalized_survcurve . penalized_tune_lambda . penalized_validate_external_tauc . penalized_validate_tauc . plot.hdnom.calibrate.external . plot.hdnom.calibrate . plot.hdnom.compare.calibrate . plot.hdnom.compare.validate . plot.hdnom.nomogram . plot.hdnom.validate.external . plot.hdnom.validate . predict.hdnom.model . print.hdnom.calibrate.external . print.hdnom.calibrate . print.hdnom.compare.calibrate . print.hdnom.compare.validate . print.hdnom.model . print.hdnom.nomogram . print.hdnom.validate.external . print.hdnom.validate . smart . smarto . summary.hdnom.calibrate.external . summary.hdnom.calibrate . summary.hdnom.compare.calibrate . summary.hdnom.compare.validate . summary.hdnom.validate.external . summary.hdnom.validate . theme_hdnom . validate . validate_external . 
Some associated R codes: 1_1_model.R . 1_2_model_tune.R . 1_3_model_method.R . 2_1_nomogram.R . 2_2_convert_model.R . 2_3_survial_curves.R . 2_4_nomogram_method.R . 3_1_validate.R . 3_2_validate_utils.R . 3_3_validate_method.R . 3_4_validate_external.R . 3_5_validate_external_utils.R . 3_6_validate_external_method.R . 4_1_calibrate.R . 4_2_calibrate_utils.R . 4_3_calibrate_method.R . 4_4_calibrate_external.R . 4_5_calibrate_external_utils.R . 4_6_calibrate_external_method.R . 4_7_kmplot.R . 4_8_logrank_test.R . 5_1_compare_by_validate.R . 5_2_compare_by_validate_method.R . 5_3_compare_by_calibrate.R . 5_4_compare_by_calibrate_method.R . datalist.R . hdnom.R . palettes.R . rms_nomogram.R . rms_nomogram_method.R . rms_nomogram_misc.R . survAUC_ChamDiao.R . survAUC_Song_Zhou.R . survAUC_Uno.R . survAUC_utils.R . theme_hdnom.R .  Full hdnom package functions and examples
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