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icemelt (version 1.0)

Parameter Estimation in Linear Transformation Model with Interval-Censored Data and Covariate Measurement Error

Description

Estimates the parameters of the semiparametric linear transformation model using imputation method, naive method and regression calibration method when time-to-event is interval-censored and a covariate is measured with error. A right censoring indicator must be available. The methods implemented in this package can be found in Mandal, S., Wang, S. and Sinha, S. (2019+). Analysis of Linear Transformation Models with Covariate Measurement Error and Interval Censoring. (accepted, Statistics In Medicine).

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Version

Install

install.packages('icemelt')

Monthly Downloads

4

Version

1.0

License

GPL (>= 2)

Maintainer

Soutrik Mandal

Last Published

July 15th, 2019

Functions in icemelt (1.0)

icemelt-package

icemelt
rc

Parameter Estimation in LTM using Regression Calibration with Interval-censored Data and Measurement Error
rcw1

Parameter Estimation in LTM using Regression Calibration with Interval-censored Data and Measurement Error
imw1

Parameter Estimation in Linear Transformation Model with Interval-censored Data and Covariate Measurement Error
nv

Parameter Estimation in Linear Transformation Model with Interval-censored Data and Covariate Measurement Error
im

Parameter Estimation in Linear Transformation Model with Interval-censored Data and Covariate Measurement Error