robflreg-package: Robust function-on-function regression

In robflreg: Robust Functional Linear Regression

Robust function-on-function regression

Description

This package presents robust methods for analyzing functional linear regression.

Author(s)

Ufuk Beyaztas and Han Lin Shang

Maintainer: Ufuk Beyaztas <[e-mail]>

References

B. Akturk, U. Beyaztas, H. L. Shang, A. Mandal (2024) Robust functional logistic regression, Advances in Data Analysis and Classification, in press.

U. Beyaztas, H. L. Shang and A. Mandal (2024) Robust function-on-function interaction regression, Statistical Modelling: An International Journal, in press.

U. Beyaztas, M. Tez and H. L. Shang (2024) Robust scalar-on-function partial quantile regression, Journal of Applied Statistics, in press.

U. Beyaztas and H. L. Shang (2023) Robust functional linear regression models, The R Journal, 15(1), 212-233.

M. Mutis, U. Beyaztas, G. G. Simsek and H. L. Shang (2023) A robust scalar-on-function logistic regression for classification, Communications in Statistics - Theory and Methods, 52(23), 8538-8554.

S. Saricam, U. Beyaztas, B. Asikgil and H. L. Shang (2022) On partial least-squares estimation in scalar-on-function regression models, Journal of Chemometrics, 36(12), e3452.

U. Beyaztas and H. L. Shang (2022) A comparison of parameter estimation in function-on-function regression, Communications in Statistics - Simulation and Computation, 51(8), 4607-4637.

U. Beyaztas and H. L. Shang (2022) A robust functional partial least squares for scalar-on-multiple-function regression, Journal of Chemometrics, 36(4), e3394.

U. Beyaztas, H. L. Shang and A. Alin (2022) Function-on-function partial quantile regression, Journal of Agricultural, Biological, and Environmental Statistics, 27(1), 149-174.

U. Beyaztas and H. L. Shang (2021) A partial least squares approach for function-on-function interaction regression, Computational Statistics, 36(2), 911-939.

U. Beyaztas and H. L. Shang (2021) A robust partial least squares approach for function-on-function regression, Brazilian Journal of Probability and Statistics, 36(2), 199-219.

U. Beyaztas and H. L. Shang (2021) Function-on-function linear quantile regression, Mathematical Modelling and Analysis, 27(2), 322-341.

U. Beyaztas and H. L. Shang (2020) On function-on-function regression: partial least squares approach, Environmental and Ecological Statistics, 27(1), 95-114.

U. Beyaztas and H. L. Shang (2019) Forecasting functional time series using weighted likelihood methodology, 89(16), 3046-3060.

robflreg documentation built on May 29, 2024, 3:55 a.m.