R (>= 2.2.1), stats, survival, perm (>= 1.0), Icens, MLEcens

Functions to fit nonparametric survival curves, plot them, and perform logrank or Wilcoxon type tests.

Weighted Logrank Tests and NPMLE for Interval Censored Data

Functions to fit nonparametric survival curves, plot them, and perform logrank or Wilcoxon type tests [see Fay and Shaw <doi:10.18637/jss.v036.i02>].

Time-Weighted Averaging for Interval Data
person(given = "Michael",
family = "Young",
role = c("aut", "cre"),
email = "myoung3@uw.edu")
Perform fast and memory efficient time-weighted averaging of values
measured over intervals into new arbitrary intervals.
This package is useful in the context of data measured or represented
as constant values over intervals on a one-dimensional discrete axis
(e.g. time-integrated averages of a curve over defined periods).
This package was written specifically to deal with air
pollution data recorded or predicted as averages over sampling periods.
Data in this format often needs to be shifted to non-aligned periods
or averaged up to periods of longer duration (e.g. averaging data measured over
sequential non-overlapping periods to calendar years).

Tools for working with points and intervals
Tools for working with and comparing sets of points and intervals.

Tools for working with and comparing sets of points and
intervals.

Orphaned on 2014-09-19 as vignette locations were never
updated for R 3.1.0.

Tools for Working with Points and Intervals

Hypothesis Testing Using the Overlapping Interval Estimates
c(
person("Kimihiro", "Noguchi", email = "kimihiro.noguchi@wwu.edu", role = c("aut", "cre")),
person("Ryan", "Erps", email = "ryan.aloha@yahoo.com", role = "ctb"),
person("Chris", "Murphy", email = "cmurphy0313@ufl.edu", role = "ctb")
)
Performs hypothesis testing
using the interval estimates (e.g., confidence intervals). The
non-overlapping interval estimates indicates the statistical
significance. References to these procedures can be found at
Noguchi and Marmolejo-Ramos (2016) <doi:10.1080/00031305.2016.1200487>,
Bonett and Seier (2003) <doi:10.1198/0003130032323>, and
Lemm (2006) <doi:10.1300/J082v51n02_05>.
Kimihiro Noguchi [aut, cre],
Ryan Erps [ctb],
Chris Murphy [ctb]