MECfda: An R package for bias correction due to measurement error in functional and scalar covariates in scalar-on-function regression models1 years ago
Introduction | Scalar-on-Function Linear Regression Models | Representation of Functional Data | Functional Data | S4 Class functional_variable | Basis Expansion | Fourier Basis | S4 Class Fourier_series | B-spline Basis | S4 Classes bspline_basis and bspline_series | Eigenfunction basis | Numerical Basis | S4 Class numeric_basis and numericBasis_series | Function basis2fun | Basis expansion methods for the functional_variable class | Numerical Computation of Integrals | Scalar-on-Function Linear Regression in MECfda | fcRegression | fcQR | Measurement Error Models and Bias Correction Estimation Methods | ME.fcRegression_MEM | ME.fcQR_IV.SIMEX | ME.fcQR_CLS | ME.fcLR_IV | Simulated Data Generation | References