Package: r-cran-riskregression (2023.12.21+ds-1)

[ Source: r-cran-riskregression  ]

GNU R Risk Regression Models and Prediction Scores for Survival

Analysis with Competing Risks Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.

Other Packages Related to r-cran-riskregression

• dep: libblas3

  Basic Linear Algebra Reference implementations, shared library

  or libblas.so.3

  virtual package provided by libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libc6 (>= 2.29)

  GNU C könyvtár: megosztott könyvtárak
  also a virtual package provided by libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  GCC támogató programkönyvtár

• dep: libstdc++6 (>= 13.1)

  GNU Standard C++ Library v3

• dep: r-api-4.0

  virtual package provided by r-base-core

• dep: r-cran-cmprsk

  GNU R subdistribution analysis of competing risks

• dep: r-cran-data.table (>= 1.12.2)

  GNU R extension of Data.frame

• dep: r-cran-doparallel

  GNU R foreach parallel adaptor for the parallel package

• dep: r-cran-foreach

  GNU R foreach looping support

• dep: r-cran-ggplot2 (>= 3.1.0)

  implementation of the Grammar of Graphics

• dep: r-cran-lattice

  GNU R package for 'Trellis' graphics

• dep: r-cran-lava (>= 1.6.5)

  GNU R latent variable models

• dep: r-cran-mets

  GNU R analysis of multivariate event times

• dep: r-cran-mvtnorm

  GNU R package to compute multivariate Normal and T distributions

• dep: r-cran-plotrix

  GNU R package providing various plotting functions

• dep: r-cran-prodlim (>= 2018.4.18)

  GNU R product-limit estimation for Censored Event History Analysis

• dep: r-cran-publish

  GNU R format output of various routines

• dep: r-cran-ranger

  Fast Implementation of Random Forests

• dep: r-cran-rcpp

  GNU R package for Seamless R and C++ Integration

• dep: r-cran-rcpparmadillo

  GNU R package for Armadillo C++ linear algebra library

• dep: r-cran-rms (>= 5.1.3)

  GNU R regression modeling strategies by Frank Harrell

• dep: r-cran-survival (>= 2.44.1)

  GNU R package for survival analysis

• dep: r-cran-timereg (>= 1.9.3)

  GNU R flexible regression models for survival data

• rec: r-cran-boot

  GNU R package for bootstrapping functions from Davison and Hinkley

• rec: r-cran-gbm

  GNU R package providing Generalized Boosted Regression Models

• rec: r-cran-glmnet

  Lasso and Elastic-Net Regularized Generalized Linear Models

• rec: r-cran-mgcv

  GNU R package for multiple parameter smoothing estimation

• rec: r-cran-nnls

  GNU R package for non-negative least squares (the Lawson-Hanson algorithm)

• rec: r-cran-numderiv

  GNU R package for accurate numerical derivatives

• rec: r-cran-party

  GNU R laboratory for recursive partytioning

• rec: r-cran-pec

  GNU R Prediction Error Curves for risk prediction models in survival

• rec: r-cran-proc

  Display and Analyze ROC Curves

• rec: r-cran-r.rsp

  Dynamic Generation of Scientific Reports

• rec: r-cran-randomforest

  GNU R package implementing the random forest classificator

• rec: r-cran-rpart

  GNU R package for recursive partitioning and regression trees

• rec: r-cran-smcfcs

  GNU R multiple imputation of Covariates by substantive model

• rec: r-cran-testthat

  GNU R testsuite

Download r-cran-riskregression

Download for all available architectures

Architecture	Package Size	Installed Size	Files
amd64	1,573.4 kB	2,164.0 kB	[list of files]