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missDeaths (version 2.7)

Simulating and Analyzing Time to Event Data in the Presence of Population Mortality

Description

Implements two methods: a nonparametric risk adjustment and a data imputation method that use general population mortality tables to allow a correct analysis of time to disease recurrence. Also includes a powerful set of object oriented survival data simulation functions.

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Version

Install

install.packages('missDeaths')

Monthly Downloads

206

Version

2.7

License

GPL (>= 2)

Maintainer

Tomaz Stupnik

Last Published

October 17th, 2020

Functions in missDeaths (2.7)

md.norm

md.norm
md.survnp

Nonparametric analysis of disease recurrence with missing information of possible deaths
md.survcox

Fit a proportional hazards regression model over disease recurrence data with missing information of possible deaths
md.init

Initializes the missDeaths population table cache
md.uniform

md.uniform
missDeaths

Simulating and analyzing time to event data in the presence of population mortality
md.mvnorm

md.mvnorm
md.survprob

Initializes the missDeaths population table cache
md.sample

md.sample
md.survtime

Initializes the missDeaths population table cache
md.sex

md.sex
md.impute

Correctly impute missing information of possible deaths using population mortality
md.simdataobject-class

md.simdataobject is an abstract class that is inherited by the md.simdata covariate generating classes such as md.binom, md.norm etc.
md.simparams

md.simparams
+,md.simdata,md.simdataobject-method

operator
observed

A simulated dataset with non-recorded deaths
md.simulate

md.simulate
md.censor

Censoring simulated survival data
md.expprep

Calculates individual expected survival beyond the observation time
md.eval

md.eval
md.D

Prepare compatible demographic information
md.exp

md.exp
md.constant

md.constant
md.data

md.data
md.binom

md.binom
md.death

md.death