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An R package for Multi-Task Logistic Regression.
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kylehakala/MTLR
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The goal ofMTLR is to provide an R implementation forMulti-TaskLogisticRegression.In addition to supplying the model provided byYu etal.we have extended the model for left censoring, interval censoring, and amixture of censoring types. Functionality includes training an MTLRmodel, predicting survival curves for new observations, and plottingthese survival curves and feature weights estimated by MTLR.
You can install the version from CRAN or the development version fromGitHub:
# CRAN:install.packages("MTLR")# GitHub:# install.packages("devtools")devtools::install_github("haiderstats/MTLR")
Given a survival dataset containing event time and event statusindicator (censored/uncensored), we can produce an MTLR model. Forexample, consider thelung dataset from thesurvival package:
# Load survival for the lung dataset and the Surv() function.library(survival)#Here we will use 9 intervals (10 time points) just for plotting purposes.#The default is sqrt the number of observations.mod<- mtlr(Surv(time,status)~.,data=lung,nintervals=9)print(mod)#>#> Call: mtlr(formula = Surv(time, status) ~ ., data = lung, nintervals = 9)#>#> Time points:#> [1] 62.3 145.4 179.3 210.4 241.4 284.5 308.2 383.5 476.3 642.8#>#>#> Weights:#> Bias inst age sex ph.ecog ph.karno pat.karno meal.cal wt.loss#> 62.27 0.1113 -0.017979 0.04894 -0.01250 0.00465 -0.00652 0.01347 -0.02619 -0.01326#> 145.36 0.1381 -0.021136 0.03275 -0.00471 0.02310 -0.02226 -0.01751 -0.01105 -0.02975#> 179.27 0.2095 -0.008194 0.02260 -0.02562 0.02393 -0.02045 -0.03160 -0.02310 -0.02218#> 210.36 0.0464 0.000371 0.00815 -0.03634 0.04702 -0.02227 -0.04127 -0.01410 -0.03367#> 241.36 -0.1012 0.009570 -0.01580 -0.04404 0.06693 -0.04142 -0.05454 -0.00808 -0.01286#> 284.55 -0.2372 0.004866 -0.00474 -0.05181 0.04829 -0.02112 -0.03138 0.00237 -0.02549#> 308.18 -0.2960 -0.007731 -0.00466 -0.05426 0.04912 -0.02284 -0.03266 -0.01607 0.02130#> 383.45 -0.0286 -0.019974 -0.01029 -0.03263 0.02870 -0.00682 -0.02323 -0.01458 -0.00236#> 476.27 -0.1277 -0.010224 0.00106 -0.02226 0.01716 0.01699 -0.01556 -0.02111 -0.01589#> 642.82 -0.3538 -0.014985 0.02291 -0.02550 0.01846 0.00557 -0.00854 0.00376 -0.00555#Plot feature weights:plot(mod)
#Get survival curves for the lung dataset:curves<- predict(mod)#Plot the first 20 survival curves:plotcurves(curves,1:20)
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An R package for Multi-Task Logistic Regression.
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