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SemiEstimate  

Solve Semi-Parametric Estimation by Implicit Profiling
View on CRAN: Click here


Download and install SemiEstimate package within the R console
Install from CRAN:
install.packages("SemiEstimate")

Install from Github:
library("remotes")
install_github("cran/SemiEstimate")

Install by package version:
library("remotes")
install_version("SemiEstimate", "1.1.3")



Attach the package and use:
library("SemiEstimate")
Maintained by
Jinhua Su
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-06
Latest Update: 2021-09-06
Description:
Semi-parametric estimation problem can be solved by two-step Newton-Raphson iteration. The implicit profiling method 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.
How to cite:
Jinhua Su (2021). SemiEstimate: Solve Semi-Parametric Estimation by Implicit Profiling. R package version 1.1.3, https://cran.r-project.org/web/packages/SemiEstimate. Accessed 30 Jan. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for SemiEstimate
Functions, R codes and Examples using the SemiEstimate R package
Some associated functions: semislv . 
Some associated R codes: builder.R . generic.R . solve.R . valid.R .  Full SemiEstimate package functions and examples
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