plain_survival_isotonic_distributional_regression: Compute the plain survival IDR for totally ordered...

In isodistrreg: Isotonic Distributional Regression (IDR)

Compute the plain survival IDR for totally ordered co-variates under the hazard rate order assumption for censored data. Note that the hazard rate order is needed for the method to be consistent, but that the returned solution likely doesn't satisfy this assumption.

Description

Computes the plain survival isotonic distributional regression (plain survival IDR) under the hazard rate order assumption for totally ordered covariates when some responses are right censored. Returns the fitted cumulative distribution evaluated at each response threshold for each unique covariate.

Usage

plain_survival_isotonic_distributional_regression(X, y, y_observed, weights)

Arguments

X	Double vector of scalar covariates.
y	Double vector of response values.
y_observed	Integer vector: 1 for observed, 0 for censored.
weights	Double vector of non-negative weights. All vectors must have equal length.

Details

This method is provided for completeness and to make the S-IDR publication easier to reproduce, but is not recommended for use by practitioners due to prohibitive computational costs and potential inconsistency in case the distributions are not hazard rate ordered.

Value

Numeric matrix. The (i, j) entry gives the fitted CDF at (unique) response j for (unique) covariate i.

Examples

plain_survival_isotonic_distributional_regression(as.double(1:4), c(2, 1, 4, 3),
  as.integer(c(0, 1, 0, 1)), c(1, 2, 1, 1))

isodistrreg documentation built on Aug. 21, 2026, 5:16 p.m.