Man pages for cSFM
Covariate-adjusted Skewed Functional Model (cSFM)
| case2.b.initial | Initial Estimates of Parameter Functions |
| case2.unmll.optim | Negative loglikelihood function and the Gradient |
| cp2beta | Transformation between Parameters and B-spline Coefficients |
| data.generator.y.F | Generate Data using Skewed Pointwise Distributions and... |
| data.simulation | Data with Skewed Marginal Distributions and Gaussian Copula... |
| DFT.basis | Discrete Fourier Transformation (DFT) Basis System |
| D.SN | Derivatives of Normalized Skewed Normal Parameterized by... |
| generic.HAC | Generic Method for 'cSFM' Objects |
| HAC.est | Model Estimation with Bivariate Regression B-Splines |
| HAC.est.parallel | Knots Selection by AIC |
| HAC-package | Covariate-adjusted Skewed Functional Model |
| kpbb | Kronecker Product Bspline Basis |
| legendre.polynomials | Orthogonal Legendre Polynomials Basis System |
| predict.kpbb | Evaluate a predefined Kronecker product B-spline basis at... |
| Reparameterization | Reparameterize Skewed Normal Parameterized using Shape and... |
| SSN | Standard Skewed Normal Parameterized using Skewness. |
| uni.fpca | Functional Principle Component Analysis with Corpula |
