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DTDA (version 3.0.1)

Doubly Truncated Data Analysis

Description

Implementation of different algorithms for analyzing randomly truncated data, one-sided and two-sided (i.e. doubly) truncated data. It serves to compute empirical cumulative distributions and also kernel density and hazard functions using different bandwidth selectors. Several real data sets are included.

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Version

Install

install.packages('DTDA')

Monthly Downloads

267

Version

3.0.1

License

GPL-2

Maintainer

Carla Moreira

Last Published

January 12th, 2022

Functions in DTDA (3.0.1)

AIDS.DT

AIDS Blood Transfusion Data, doubly truncated
ACS

Acute Coronary Syndrome data
ACSred

Acute Coronary Syndrome reduced data
AIDS

AIDS Blood Transfusion Data, right truncated
EqSRounded

Equipment-S Rounded Failure Time Data
ChildCancer

Childhood Cancer Data
PDearly

Parkinson's Disease Data: early onset
densityDT

Estimation of a kernel density function under random double truncation
Quasars

Quasars Data
rsim.DT

Random generation functions of doubly truncated data
lynden

NPMLE computation with the second Efron-Petrosian algorithm
PDlate

Parkinson's Disease Data: late onset
efron.petrosian

NPMLE computation with the first Efron-Petrosian algorithm
hazardDT

Estimation of the kernel hazard function under random double truncation
shen

NPMLE computation with Shen algorithm