| .intWeights | Calculate weights for numerical integration |
| .scalarProduct | Generic method for scalar products, based on integrate |
| addError | Add Gaussian white noise to functional data objects |
| approxNA | Approximate missing values for funData objects |
| Arith-method | Arithmetics for functional data objects |
| Arith.funData | Arithmetics for functional data objects |
| as.data.frame-method | Coerce functional data objects to a data.frame |
| as.data.frame.funData | Coerce functional data objects to a data.frame |
| as.funData | Coerce an irregFunData object to class funData |
| as.funData-method | Coerce an irregFunData object to class funData |
| as.irregFunData | Coerce a funData object to class irregFunData |
| as.irregFunData-method | Coerce a funData object to class irregFunData |
| as.multiFunData | Coerce a funData object to class multiFunData |
| as.multiFunData-method | Coerce a funData object to class multiFunData |
| autolayer.funData | Visualize functional data objects using ggplot |
| autolayer.irregFunData | Visualize irregular functional data objects using ggplot |
| autoplot.funData | Visualize functional data objects using ggplot |
| autoplot.irregFunData | Visualize irregular functional data objects using ggplot |
| autoplot.multiFunData | Visualize multivariate functional data objects using ggplot |
| dimSupp | Support dimension of functional data |
| eFun | Generate orthonormal eigenfunctions |
| eVal | Generate a sequence of simulated eigenvalues |
| extractObs | Extract observations of functional data |
| fd2funData | Convert an fd object to funData |
| flipFuns | Flip functional data objects |
| funData | A class for (univariate) functional data |
| funData-class | A class for (univariate) functional data |
| funData-method | A class for (univariate) functional data |
| funData2fd | Convert a funData object to fd |
| ggplot | ggplot Graphics for Functional Data Objects |
| ggplot-method | ggplot Graphics for Functional Data Objects |
| integrate | Integrate functional data |
| irregFunData | A class for irregularly sampled functional data |
| irregFunData-class | A class for irregularly sampled functional data |
| irregFunData-method | A class for irregularly sampled functional data |
| Math-method | Mathematical operations for functional data objects |
| Math.funData | Mathematical operations for functional data objects |
| meanFunction | Mean for functional data |
| multiFunData | A class for multivariate functional data |
| multiFunData-class | A class for multivariate functional data |
| multiFunData-method | A class for multivariate functional data |
| names-method | A class for (univariate) functional data |
| names-method | A class for irregularly sampled functional data |
| names-method | A class for multivariate functional data |
| names<--method | A class for (univariate) functional data |
| names<--method | A class for irregularly sampled functional data |
| names<--method | A class for multivariate functional data |
| nObs | Get the number of observations |
| nObsPoints | Get the number of observation points |
| norm | Calculate the norm of functional data |
| plot-method | Plotting univariate functional data |
| plot-method | Plotting irregular functional data |
| plot-method | Plotting multivariate functional data |
| plot.funData | Plotting univariate functional data |
| plot.irregFunData | Plotting irregular functional data |
| plot.multiFunData | Plotting multivariate functional data |
| scalarProduct | Calculate the scalar product for functional data objects |
| show-method | A class for (univariate) functional data |
| show-method | A class for irregularly sampled functional data |
| simFunData | Simulate univariate functional data |
| simMultiFunData | Simulate multivariate functional data |
| sparsify | Generate a sparse version of functional data objects |
| str-method | A class for (univariate) functional data |
| str-method | A class for irregularly sampled functional data |
| str-method | A class for multivariate functional data |
| subset-method | Extract observations of functional data |
| summary-method | A class for (univariate) functional data |
| summary-method | A class for irregularly sampled functional data |
| summary-method | A class for multivariate functional data |
| tensorProduct | Tensor product for univariate functions on one-dimensional domains |
| [-method | Extract observations of functional data |