Package: SemiEstimate 1.1.4

SemiEstimate: Solve Semi-Parametric Estimation by Implicit Profiling

Semi-parametric estimation problem can be solved by two-step Newton-Raphson iteration. The implicit profiling method<arxiv:2108.07928> is an improved method of two-step NR iteration especially for the implicit-bundled type of the parametric part and non-parametric part. This package provides a function semislv() supporting the above two methods and numeric derivative approximation for unprovided Jacobian matrix.

Authors:Jinhua Su [aut, cre]

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SemiEstimate/json (API)

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

Peer review:

Bug tracker:https://github.com/jinhuasu/semiestimate/issues

On CRAN:

1 exports 0.73 score 0 dependencies 3 scripts 177 downloads

Last updated 2 years agofrom:96a6f984f5. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winNOTESep 02 2024
R-4.5-linuxNOTESep 02 2024
R-4.4-winNOTESep 02 2024
R-4.4-macNOTESep 02 2024
R-4.3-winNOTESep 02 2024
R-4.3-macNOTESep 02 2024

Exports:semislv

Dependencies:

SemiEstimate Examples

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Last update: 2022-06-04
Started: 2021-08-04