| 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 b-splines summation series at certain points. |
| bsplineSeries2fun-method | Compute the value of the b-splines 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 |
| FPC_basis_expansion | Functional principal component basis expansion for functional variable data |
| FPC_basis_expansion-method | Functional principal component basis expansion for functional variable data |
| 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 |
| MECfda_simDataGen_fcReg | Simulation Data Generation: Scalar-on-function Regression |
| MECfda_simDataGen_ME | Simulation Data Generation: Measurement Error Bias Correction of Scalar-on-function Regression |
| MEM_X_hat | Get MEM substitution for (generalized) linear regression with one functional covariate with measurement error. |
| numericBasisSeries2fun | Compute the value of the basis function summation series at certain points. |
| numericBasisSeries2fun-method | Compute the value of the basis function summation series at certain points. |
| numericBasis_series | Linear combination of a sequence of basis functions represented numerically |
| numericBasis_series-class | Linear combination of a sequence of basis functions represented numerically |
| numeric_basis | Numeric representation of a function basis |
| numeric_basis-class | Numeric representation of a function basis |
| numeric_basis_expansion | Numeric basis expansion for functional variable data |
| numeric_basis_expansion-method | Numeric basis expansion for functional variable data |
| plot-method | Plot Fourier basis summation series. |
| plot-method | Plot b-splines basis summation series. |
| plot-method | Plot numeric basis function summation series. |
| predict.fcQR | Predicted values based on fcQR object |
| predict.fcRegression | Predicted values based on fcRegression object |