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Local partial likelihood (LPL)

"lpl" is a R package for multivariate covariates-biomarker interaction. Please use the following steps to install 'lpl' package:

  1. First, you need to install the 'devtools' package. You can skip this step if you have 'devto

ols' installed in your R. Invoke R and then type

install.packages("devtools")

  1. Load the devtools package.

library(devtools)

  1. Install "lpl" package with R commond

install_github("statapps/lpl")

version 0.11

By Bingshu E. Chen (2021)

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Version

Install

install.packages('lpl')

Monthly Downloads

238

Version

0.13

License

GPL-2

Maintainer

Bingshu Chen

Last Published

August 20th, 2025

Functions in lpl (0.13)

numHessian

Calculate Hessian or Information Matrix
numScore

Calculate the Score / Jacobian Function
control

Auxiliary function for lpl fitting
coxScoreHess

Calculate the Score vector / Hessian matrix for the Cox model
multiRoot

m-Dimensional Root (Zero) Finding
predict.lple

predict a lple object
survfit.lple

Compute a Survival Curve from a Local Linear Partial Likelihood Estimate.
print.lple

print a lple object
print.lplb

print a lplb object
IPCW

Inverse probability of censoring weighting (IPCW)
lpl-package

Local Partial Likelihood Boostrap test
rsurv

The Survival Distribution
rmst

The restricted mean survival time (RMST)
plot.lple

The Plot Function of lple
lplb

Local partial likelihood bootstrap (LPLB) method to fit biomarker Models
lple

Local partial likelihood estimate (LPLE) method to fit biomarker Models
ibs

The Brier Score and Integrated Brier Score (IBS)