• SAS/STAT

  • Referenced in 433 articles [sw18788]
  • variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, and nonparametric...
  • survival

  • Referenced in 196 articles [sw04364]
  • package survival: Survival analysis, including penalised likelihood , survival analysis: descriptive statistics, two-sample tests, parametric...
  • GMRFLib

  • Referenced in 309 articles [sw06641]
  • time-series analysis to the analysis of longitudinal and survival data, spatio-temporal models, graphical ... quantitative researchers in engineering, epidemiology, image analysis, geography, and ecology, introducing them to this powerful...
  • invGauss

  • Referenced in 128 articles [sw11207]
  • Borgan O, Gjessing HK. Survival and Event History Analysis. A Process Point of View. Springer...
  • mlr

  • Referenced in 31 articles [sw12357]
  • also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning...
  • dynpred

  • Referenced in 19 articles [sw35364]
  • Package to ”Dynamic Prediction in Clinical Survival Analysis”. The dynpred package contains functions for dynamic ... prediction in survival analysis...
  • gcmr

  • Referenced in 27 articles [sw07433]
  • continuous setting numerical approximations are used. Residual analysis and a specification test are suggested ... series, cross-design data, longitudinal studies, survival analysis and spatial regression...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • recognition algorithms such as kernel Fisher discriminant analysis and extensions to unsupervised learning, recurrent networks ... data visualization and dimensionality reduction, and survival analysis. For very large scale problems a method...
  • KMsurv

  • Referenced in 10 articles [sw15343]
  • sets from Klein and Moeschberger (1997), Survival Analysis. Data sets and functions for Klein ... Moeschberger (1997), ”Survival Analysis, Techniques for Censored and Truncated Data”, Springer...
  • uniCox

  • Referenced in 14 articles [sw19131]
  • model. Univarate shrinkage prediction for survival analysis using in the Cox model.. Especially useful...
  • Muhaz

  • Referenced in 13 articles [sw14703]
  • package muhaz: Hazard Function Estimation in Survival Analysis. A package for producing a smooth estimate...
  • discSurv

  • Referenced in 8 articles [sw15815]
  • package discSurv: Discrete Time Survival Analysis. Provides data transformations, estimation utilities, predictive evaluation measures ... simulation functions for discrete time survival analysis...
  • eha

  • Referenced in 9 articles [sw06775]
  • presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical ... statistics. A much-needed primer, Event History Analysis with R is a didactically excellent resource ... practitioners of applied event history and survival analysis...
  • mvis

  • Referenced in 11 articles [sw37353]
  • using Rubin’s rules, and supports survival analysis models (stcox and streg), categorical data models...
  • lifelines

  • Referenced in 4 articles [sw29179]
  • lifelines is a implementation of survival analysis in Python. What benefits does lifelines offer over ... other survival analysis implementations ? built on top of Pandas; internal plotting methods; simple and intuitive ... only focus is survival analysis; handles right, left and interval censored data...
  • SVRc

  • Referenced in 4 articles [sw40646]
  • data (SVRc): A novel tool for survival analysis. A crucial challenge in predictive modeling ... survival analysis is managing censored observations in the data. The Cox proportional hazards model ... standard tool for the analysis of continuous censored survival data. We propose a novel machine ... censored data (SVRc) for improved analysis of medical survival data. SVRc leverages the high-dimensional...
  • ggfortify

  • Referenced in 6 articles [sw20802]
  • package ggfortify: Data Visualization Tools for Statistical Analysis Results. Unified plotting tools for statistics commonly ... time series, PCA families, clustering and survival analysis. The package offers a single plotting interface...
  • Tick

  • Referenced in 6 articles [sw26586]
  • tools for generalized linear models and survival analysis. The core of the library...
  • scikit-survival

  • Referenced in 3 articles [sw37193]
  • survival is a Python module for survival analysis built on top of scikit-learn ... allows doing survival analysis while utilizing the power of scikit-learn, e.g., for pre-processing ... doing cross-validation. The objective in survival analysis (also referred to as time-to-event ... time of an event. What makes survival analysis differ from traditional machine learning...
  • relsurv

  • Referenced in 5 articles [sw14711]
  • Relative Survival. Various functions for relative survival analysis...