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DESCRIPTION

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Type: Package
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Title: Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression
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Version: 0.9.1
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Date: 2021-02-05
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Date: 2021-02-06
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Authors@R: c(
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person("Sahir", "Bhatnagar", email = "sahir.bhatnagar@gmail.com",
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role = c("aut", "cre"), comment = "http://sahirbhatnagar.com/"),

README.Rmd

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# casebase
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<!-- badges: start -->
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[![Build Status](https://travis-ci.org/sahirbhatnagar/casebase.svg?branch=master)](https://travis-ci.org/sahirbhatnagar/casebase) [![Coverage Status](https://img.shields.io/codecov/c/github/sahirbhatnagar/casebase/master.svg)](https://codecov.io/github/sahirbhatnagar/casebase?branch=master) [![CRAN](https://www.r-pkg.org/badges/version/casebase?color=blue)](https://cran.r-project.org/package=casebase) [![Downloads](http://cranlogs.r-pkg.org/badges/grand-total/casebase?color=green)](https://www.r-pkg.org/pkg/casebase)
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[![Build Status](https://api.travis-ci.org/sahirbhatnagar/casebase.svg?branch=master)](https://travis-ci.org/github/sahirbhatnagar/casebase) [![Coverage Status](https://img.shields.io/codecov/c/github/sahirbhatnagar/casebase/master.svg)](https://codecov.io/github/sahirbhatnagar/casebase?branch=master) [![CRAN](https://www.r-pkg.org/badges/version/casebase?color=blue)](https://cran.r-project.org/package=casebase) [![Downloads](https://cranlogs.r-pkg.org/badges/grand-total/casebase?color=green)](https://www.r-pkg.org/pkg/casebase)
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[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/sahirbhatnagar/casebase?branch=master&svg=true)](https://ci.appveyor.com/project/sahirbhatnagar/casebase)
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[![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)
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[![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://lifecycle.r-lib.org/articles/stages.html)
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<!-- badges: end -->
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`casebase` is an R package for fitting flexible and fully parametric hazard regression models to survival data with single event type or multiple competing causes via logistic and multinomial regression. Our formulation allows for arbitrary functional forms of time and its interactions with other predictors for time-dependent hazards and hazard ratios. From the fitted hazard model, we provide functions to readily calculate and plot cumulative incidence and survival curves for a given covariate profile. This approach accommodates any log-linear hazard function of prognostic time, treatment, and covariates, and readily allows for non-proportionality. We also provide a plot method for visualizing incidence density via population time plots.

README.md

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<!-- badges: start -->
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[![Build
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Status](https://travis-ci.org/sahirbhatnagar/casebase.svg?branch=master)](https://travis-ci.org/sahirbhatnagar/casebase)
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Status](https://api.travis-ci.org/sahirbhatnagar/casebase.svg?branch=master)](https://travis-ci.org/github/sahirbhatnagar/casebase)
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[![Coverage
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Status](https://img.shields.io/codecov/c/github/sahirbhatnagar/casebase/master.svg)](https://codecov.io/github/sahirbhatnagar/casebase?branch=master)
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[![CRAN](https://www.r-pkg.org/badges/version/casebase?color=blue)](https://cran.r-project.org/package=casebase)
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[![Downloads](http://cranlogs.r-pkg.org/badges/grand-total/casebase?color=green)](https://www.r-pkg.org/pkg/casebase)
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[![Downloads](https://cranlogs.r-pkg.org/badges/grand-total/casebase?color=green)](https://www.r-pkg.org/pkg/casebase)
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[![AppVeyor build
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status](https://ci.appveyor.com/api/projects/status/github/sahirbhatnagar/casebase?branch=master&svg=true)](https://ci.appveyor.com/project/sahirbhatnagar/casebase)
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[![Lifecycle:
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maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)
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maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://lifecycle.r-lib.org/articles/stages.html)
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<!-- badges: end -->
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`casebase` is an R package for fitting flexible and fully parametric
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#>
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#> Deviance Residuals:
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#> Min 1Q Median 3Q Max
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#> -0.2579 -0.1481 -0.1377 -0.1273 3.1543
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#> -0.2479 -0.1482 -0.1373 -0.1268 3.1490
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#>
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#> Coefficients:
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#> Estimate Std. Error z value Pr(>|z|)
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#> (Intercept) -5.8423 0.3007 -19.431 < 2e-16 ***
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#> treatmentestPro 0.6382 0.3772 1.692 0.0907 .
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#> ns(time, df = 3)1 -0.4667 0.3611 -1.292 0.1963
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#> ns(time, df = 3)2 0.7903 0.7331 1.078 0.2811
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#> ns(time, df = 3)3 1.4514 0.3431 4.230 2.34e-05 ***
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#> treatmentestPro:ns(time, df = 3)1 0.1975 0.4880 0.405 0.6857
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#> treatmentestPro:ns(time, df = 3)2 -1.4337 0.9385 -1.528 0.1266
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#> treatmentestPro:ns(time, df = 3)3 -1.1912 0.4844 -2.459 0.0139 *
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#> (Intercept) -5.85621 0.30013 -19.512 < 2e-16 ***
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#> treatmentestPro 0.66414 0.37783 1.758 0.0788 .
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#> ns(time, df = 3)1 -0.41110 0.35944 -1.144 0.2527
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#> ns(time, df = 3)2 0.77792 0.73254 1.062 0.2883
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#> ns(time, df = 3)3 1.37771 0.34131 4.036 5.43e-05 ***
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#> treatmentestPro:ns(time, df = 3)1 0.07468 0.48613 0.154 0.8779
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#> treatmentestPro:ns(time, df = 3)2 -1.40359 0.94189 -1.490 0.1362
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#> treatmentestPro:ns(time, df = 3)3 -1.06823 0.48634 -2.196 0.0281 *
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#> ---
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#> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
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#>
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#> (Dispersion parameter for binomial family taken to be 1)
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#>
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#> Null deviance: 3635.4 on 32723 degrees of freedom
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#> Residual deviance: 3612.7 on 32716 degrees of freedom
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#> AIC: 3628.7
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#> Residual deviance: 3613.4 on 32716 degrees of freedom
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#> AIC: 3629.4
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#>
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#> Number of Fisher Scoring iterations: 7
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```

cran-comments.md

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## Resubmission
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This is a resubmission. In this version I have:
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* Fixed redirected URL.
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## Test environments
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* local macOS 10.16, R 4.0.2
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