Package: npregderiv 1.0

npregderiv: Nonparametric Estimation of the Derivatives of a Regression Function

Estimating the first and second derivatives of a regression function by the method of Wang and Lin (2015) <http://www.jmlr.org/papers/v16/wang15b.html>.

Authors:Olga Savchuk [aut, cre], Alex Volinsky [aut]

# Install 'npregderiv' in R:

install.packages('npregderiv', repos = c('https://osavchuk.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

wafer40 - The data set on the n=7755 substrate's deflection measurements before and after the thin film deposition in two radial directions.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 5 years agofrom:766dd03cbc. Checks:9 OK. Indexed: yes.

Dependencies:

Help page	Topics
The package "Nonparametric Estimation of the Derivatives of a Regression Function" implements the method of Wang and Lin (2015) of estimating the first and second derivatives of a regression function from the original data in the case of an increasing evenly spaced design. The derivative estimates are computed at the design points. The computations are based on the difference quotients. The package also includes the experimental data set on the deflection measurements of a round substrate before and after the thin film deposition. See more details regarding the experiment and data analysis in the article of Savchuk and Volinsky (2020).	npregderiv package
Estimating the first derivative of a regression function by the method of Wang and Lin (2015)	reg_1derivWL
Estimating the second derivative of a regression function by the method of Wang and Lin (2015)	reg_2derivWL
The data set on the n=7755 substrate's deflection measurements before and after the thin film deposition in two radial directions.	wafer40