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]

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dblcens/json (API)

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

Peer review:

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

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

On CRAN:

2.70 score 3 scripts 257 downloads 3 exports 0 dependencies

Last updated 2 years agofrom:df8753b301. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-win-x86_64NOTEOct 31 2024
R-4.5-linux-x86_64NOTEOct 31 2024
R-4.4-win-x86_64NOTEOct 31 2024
R-4.4-mac-x86_64NOTEOct 31 2024
R-4.4-mac-aarch64NOTEOct 31 2024
R-4.3-win-x86_64NOTEOct 31 2024
R-4.3-mac-x86_64NOTEOct 31 2024
R-4.3-mac-aarch64NOTEOct 31 2024

Exports:d011d011chWdataclean2

Dependencies: