missDeaths v2.7

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

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.

Functions in missDeaths

Name Description
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
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Details

Date 2020-10-17
License GPL (>= 2)
LinkingTo Rcpp
RoxygenNote 6.0.1
NeedsCompilation yes
Packaged 2020-10-17 17:31:50 UTC; tomaz
Repository CRAN
Date/Publication 2020-10-17 18:00:02 UTC

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