Provides flexible model fitting used in epidemiological data analysis by a unified model specification, along with some data manipulation functions. This package covers fitting of variety models including Cox regression models, linear regression models, Poisson regression models, logistic models and others whose likelihood is expressed in negative binomial, gamma and Weibull distributions.
|Author||Kazutaka Doi [aut,cre], Kei Sakabe [ctb], Masataka Taruri [ctb]|
|Date of publication||2017-01-06 10:09:31|
|Maintainer||Kazutaka Doi <firstname.lastname@example.org>|
AIC.epifit: Function for calculating Akaike's 'An Information Criterion'...
calcAge: Calculate the difference between two date in terms of unit of...
convertFromFactor: Convert factor variable to numeric or character variable.
convertNA: Convert a character pattern or numeric value into NA and vice...
countNA: Count NAs in variables.
epifit: Model fitting function for epifit package
epifit-package: Flexible Modelling Functions for Epidemiological Data...
extractVariable: Extract variables according to mode from data.frame.
getIndex: Get index by specifying cut points
listNumericIncompatibility: List incompatible values when converted into numeric values.
modes: Get the type or storage mode of an object.
print.epifit: Print function for epifit object.
pullOneValue: Pull one set of values from variables included in data which...
pytable: Make person-year table from individual data
removeVariable: Remove variables containing NaNs or NAs from data.frames.
selectByIndex: Select objects by their position.
selectVariable: Select variables to keep or drop.
showContents: Show variable information in data.frame
strscan: Extract words from a string vector.