Package: dblcens 1.1.9

Yifan Yang

dblcens: Compute the NPMLE of Distribution Function from Doubly Censored Data, Plus the Empirical Likelihood Ratio for F(T)

Doubly censored data, as described in Chang and Yang (1987) <doi:10.1214/aos/1176350608>), are commonly seen in many fields. We use EM algorithm to compute the non-parametric MLE (NPMLE) of the cummulative probability function/survival function and the two censoring distributions. One can also specify a constraint F(T)=C, it will return the constrained NPMLE and the -2 log empirical likelihood ratio for this constraint. This can be used to test the hypothesis about the constraint and, by inverting the test, find confidence intervals for probability or quantile via empirical likelihood ratio theorem. Influence functions of hat F may also be calculated, but currently, the it may be slow.

Authors:Mai Zhou [aut], Li Lee [aut], Kun Chen [aut], Yifan Yang [aut, cre, cph]

dblcens_1.1.9.tar.gz
dblcens_1.1.9.zip(r-4.7-x86_64)dblcens_1.1.9.zip(r-4.7-arm64)dblcens_1.1.9.zip(r-4.6-x86_64)dblcens_1.1.9.zip(r-4.6-arm64)dblcens_1.1.9.zip(r-4.5-x86_64)
dblcens_1.1.9.tgz(r-4.6-x86_64)dblcens_1.1.9.tgz(r-4.6-arm64)dblcens_1.1.9.tgz(r-4.5-x86_64)dblcens_1.1.9.tgz(r-4.5-arm64)
dblcens_1.1.9.tar.gz(r-4.7-arm64)dblcens_1.1.9.tar.gz(r-4.7-x86_64)dblcens_1.1.9.tar.gz(r-4.6-arm64)dblcens_1.1.9.tar.gz(r-4.6-x86_64)
dblcens_1.1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dblcens/json (API)

# Install 'dblcens' in R:
install.packages('dblcens', repos = c('https://yfyang86.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/yfyang86/dblcens/issues

Datasets:
  • IVaids - Data: AIDS patient among IV drug user

On CRAN:

Conda:

2.70 score 3 scripts 397 downloads 3 exports 0 dependencies

Last updated from:df8753b301. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE75
linux-devel-x86_64NOTE111
source / vignettesOK128
linux-release-arm64NOTE115
linux-release-x86_64NOTE100
macos-release-arm64NOTE126
macos-release-x86_64NOTE309
macos-oldrel-arm64NOTE185
macos-oldrel-x86_64NOTE282
windows-devel-arm64NOTE370
windows-devel-x86_64NOTE106
windows-release-arm64NOTE353
windows-release-x86_64NOTE71
windows-oldrel-x86_64NOTE67
wasm-releaseOK77

Exports:d011d011chWdataclean2

Dependencies: