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 |