Scalar-on-Function Regression with Measurement Error Correction

Solve scalar-on-function linear models, including generalized linear mixed effect model and quantile linear regression model, and bias correction estimation methods due to measurement error. Details about the measurement error bias correction methods, see Luan et al. (2023) , Tekwe et al. (2022) , Zhang et al. (2023) , Tekwe et al. (2019) .

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install.packages("MECfda")

0.2.1 by Heyang Ji, a year ago

Browse source code at https://github.com/cran/MECfda

Authors: Heyang Ji [aut, cre, ctb, dtc] (ORCID: , Ufuk Beyaztas [aut, ctb, rev] (ORCID: , Nicolas Escobar-Velasquez [com] (ORCID: , Yuanyuan Luan [aut, ctb] , Xiwei Chen [aut, ctb] , Mengli Zhang [aut, ctb] , Roger Zoh [aut, ths] , Lan Xue [aut, ths] , Carmen Tekwe [aut, ths] (ORCID:

Documentation: PDF Manual

GPL-3 license

Imports stats, utils, lme4, quantreg, splines, dplyr, MASS, Matrix, gss, corpcor, fda, magrittr, methods, nlme, glme, mgcv, refund, pracma

Suggests knitr, rmarkdown

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MECfda

Scalar-on-Function Regression with Measurement Error Correction

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