Scalar-on-Function Regression with Measurement Error Correction


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Documentation for package ‘MECfda’ version 0.1.0

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basis2fun From the summation series of a functional basis to function value
basis2fun-method From the summation series of a functional basis to function value
bsplineSeries2fun Compute the value of the Fourier summation series at certain points.
bsplineSeries2fun-method Compute the value of the Fourier summation series at certain points.
bspline_basis b-spline basis
bspline_basis-class b-spline basis
bspline_basis_expansion B-splines basis expansion for functional variable data
bspline_basis_expansion-method B-splines basis expansion for functional variable data
bspline_series b-splines summation series.
bspline_series-class b-splines summation series.
dim-method Extract dimensionality of functional data.
extractCoef Method of class Fourier_series to extract Fourier coefficients
extractCoef-method Method of class Fourier_series to extract Fourier coefficients
fc.beta Extract the value of coefficient parameter function
fc.beta-method Extract the value of coefficient parameter function
fcQR Solve quantile regression models with functional covariate(s).
fcRegression Solve linear models with functional covariate(s)
FourierSeries2fun Compute the value of the Fourier summation series
FourierSeries2fun-method Compute the value of the Fourier summation series
fourier_basis_expansion Fourier basis expansion for functional variable data
fourier_basis_expansion-method Fourier basis expansion for functional variable data
Fourier_series s4 class of Fourier summation series
Fourier_series-class s4 class of Fourier summation series
functional_variable Function-valued variable data.
functional_variable-class Function-valued variable data.
ME.fcLR_IV Bias correction method of applying linear regression to one functional covariate with measurement error using instrumental variable.
ME.fcQR_CLS Bias correction method of applying quantile linear regression to dataset with one functional covariate with measurement error using corrected loss score method.
ME.fcQR_IV.SIMEX Bias correction method of applying quantile linear regression to dataset with one functional covariate with measurement error using instrumental variable.
ME.fcRegression_MEM Use UP_MEM or MP_MEM substitution to apply (generalized) linear regression with one functional covariate with measurement error.
MECfda.data.sim.0.0 Simulated data
MECfda.data.sim.0.1 Simulated data
MECfda.data.sim.0.2 Simulated data
MECfda.data.sim.0.3 Simulated data
MECfda.data.sim.1.0 Simulated data
MECfda.data.sim.1.1 Simulated data
MECfda.data.sim.1.2 Simulated data
MECfda.data.sim.1.3 Simulated data
plot-method Plot Fourier basis summation series.
plot-method Plot b-splines baisi summation series.
predict.fcQR Predicted values based on fcQR object
predict.fcRegression Predicted values based on fcRegression object