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VAJointSurv (version 0.1.1)

Variational Approximation for Joint Survival and Marker Models

Description

Estimates joint marker (longitudinal) and survival (time-to-event) outcomes using variational approximations. The package supports multivariate markers allowing for correlated error terms and multiple types of survival outcomes which may be left-truncated, right-censored, and recurrent. Time-varying fixed and random covariate effects are supported along with non-proportional hazards.

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Version

Install

install.packages('VAJointSurv')

Monthly Downloads

208

Version

0.1.1

License

MIT + file LICENSE

Issues

3

Pull Requests

1

Stars

5

Forks

3

Maintainer

Benjamin Christoffersen

Last Published

January 15th, 2025

Functions in VAJointSurv (0.1.1)

joint_ms_lb

Evaluates the Lower Bound or the Gradient of the Lower Bound
surv_term

Creates Data for One Type of Survival Outcome
plot_surv

Plots Quantiles of the Conditional Hazards
poly_term

Term for Orthogonal Polynomials
joint_ms_start_val

Quick Heuristic for the Starting Values
weighted_term

Term for a Basis Matrix for Weighted Term
joint_ms_set_vcov

Sets the Covariance Parameters
joint_ms_format

Formats the Parameter Vector
bs_term

Term for a B-Spline Basis for Polynomial Splines
joint_ms_hess

Computes the Hessian
joint_ms_opt

Optimizes the Lower Bound
joint_ms_ptr

Creates a joint_ms Object to Estimate a Joint Survival and Marker Model
stacked_term

Term for a Basis Matrix for of Different Types of Terms
VAJointSurv-terms

Expansions in the VAJointSurv package
joint_ms_profile

Approximate Likelihood Ratio based Confidence Intervals
joint_ms_va_par

Extracts the Variational Parameters
ns_term

Term for a Basis Matrix for Natural Cubic Splines
marker_term

Creates Data for One Type of Marker
plot_marker

Plots a Markers Mean Curve with Pointwise Quantiles