Package: survregVB 0.0.2

Alison Zhang

survregVB: Variational Bayesian Analysis of Survival Data

Implements Bayesian inference in accelerated failure time (AFT) models for right-censored survival times assuming a log-logistic distribution. Details of the variational Bayes algorithms, with and without shared frailty, are described in Xian et al. (2024) <doi:10.1007/s11222-023-10365-6> and Xian et al. (2024) <doi:10.48550/arXiv.2408.00177>, respectively.

Authors:Alison Zhang [aut, cre], Chengqian Xian [aut]

survregVB_0.0.2.tar.gz
survregVB_0.0.2.zip(r-4.7-any)survregVB_0.0.2.zip(r-4.6-any)survregVB_0.0.2.zip(r-4.5-any)
survregVB_0.0.2.tgz(r-4.6-any)survregVB_0.0.2.tgz(r-4.5-any)
survregVB_0.0.2.tar.gz(r-4.7-any)survregVB_0.0.2.tar.gz(r-4.6-any)
survregVB_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
survregVB/json (API)

# Install 'survregVB' in R:

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

Bug tracker:https://github.com/chengqianxian/survregvb/issues

Datasets:

dnase - Subset of 'rhDNase' from the 'survival' package
lung_cancer - Subset of GSE102287: African American (AA) Patients
simulation_frailty - Simulated data incorporating shared frailty effects to model clustered time-to-event data.
simulation_nofrailty - Simulated data without shared frailty effects to model unclustered time-to-event data.

On CRAN:

3.70 score 1 stars 10 scripts 163 downloads 3 exports 4 dependencies

Last updated from:85f5ebe5b3. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	132
source / vignettes	OK	172
linux-release-x86_64	OK	130
macos-release-arm64	OK	131
macos-oldrel-arm64	OK	183
windows-devel	OK	98
windows-release	OK	87
windows-oldrel	OK	81
wasm-release	OK	100

Exports:survregVB survregVB.fit survregVB.frailty.fit

Dependencies:bayestestR datawizard insight invgamma

Using the survregVB Package

Rendered fromsurvregVB.Rmdusingknitr::rmarkdown

Last update: 2025-05-02
Started: 2025-01-22

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculates parameter alpha^* of q^*(b) to optimize the evidence based lower bound (ELBO) in 'survregVB.fit' and 'survregVB.frailty.fit'.	alpha_star
Subset of 'rhDNase' from the 'survival' package	dnase
Calculates the variational Bayes convergence criteria, evidence lower bound (ELBO), optimized in 'survregVB.fit'.	elbo
Calculates the variational Bayes convergence criteria, evidence lower bound (ELBO), optimized in 'survregVB.frailty.fit'.	elbo_cluster
Calculates parameter eta^* of q^*(sigma^2_{gamma}) to optimize the evidence based lower bound (ELBO) in 'survregVB.frailty.fit'.	eta_star
Calculates parameter lambda^* of q^*(sigma^2_{gamma}) to optimize the evidence based lower bound (ELBO) in 'survregVB.frailty.fit'.	lambda_star
Subset of GSE102287: African American (AA) Patients	lung_cancer
Calculates parameter mu^* of q^*(beta) to optimize the evidence based lower bound (ELBO) in 'survregVB.fit'.	mu_star
Calculates parameter mu^* of q^*(beta) to optimize the evidence based lower bound (ELBO) in 'survregVB.frailty.fit'.	mu_star_cluster
Calculates parameter omega^* of q^*(b) to optimize the evidence based lower bound (ELBO) in 'survregVB.fit'.	omega_star
Calculates parameter omega^* of q^*(b) to optimize the evidence based lower bound (ELBO) in 'survregVB.frailty.fit'.	omega_star_cluster
Calculates parameter sigma^{2}_i of q^(gamma_i) for i=1,...,K clusters to optimize the evidence based lower bound (ELBO) in 'survregVB.frailty.fit'.	sigma_squared_star
Calculates parameter Sigma^* of q^*(beta) to optimize the evidence based lower bound (ELBO) in 'survregVB.fit'.	Sigma_star
Calculates parameter Sigma^* of q^*(beta) to optimize the evidence based lower bound (ELBO) in 'survregVB.frailty.fit'.	Sigma_star_cluster
Simulated data incorporating shared frailty effects to model clustered time-to-event data.	simulation_frailty
Simulated data without shared frailty effects to model unclustered time-to-event data.	simulation_nofrailty
Summary for Variational Bayes log-logistic AFT models.	print.summary.survregVB summary.survregVB
Variational Bayesian Analysis of Survival Data Using a Log-Logistic Accelerated Failure Time Model	survregVB
Variational Bayesian Analysis of Survival Data Using a Log-Logistic Accelerated Failure Time Model	survregVB.fit
Variational Bayesian Analysis of Correlated Survival Data Using a Log-Logistic Accelerated Failure Time Model	survregVB.frailty.fit
Variational Bayes Accelererated Failure Time Survival Model Object	print.survregVB survregVB.object
Calculates parameter tau^_i of q^(gamma_i) for i=1,...,K clusters to optimize the evidence based lower bound (ELBO) in 'survregVB.frailty.fit'.	tau_star