Man pages for smoothemplik
Smoothed Empirical Likelihood
| brentMin | Brent's local minimisation |
| brentZero | Brent's local root search |
| bw.CV | Bandwidth Selectors for Kernel Density Estimation |
| bw.rot | Silverman's rule-of-thumb bandwidth |
| ctracelr | Compute empirical likelihood on a trajectory |
| dampedNewton | Damped Newton optimiser |
| DCV | Density cross-validation |
| EL | Self-concordant multi-variate empirical likelihood with... |
| EL0 | Uni-variate empirical likelihood via direct lambda search |
| EuL | Multi-variate Euclidean likelihood with analytical solution |
| getSELWeights | Construct memory-efficient weights for estimation |
| interpTwo | Monotone interpolation between a function and a reference... |
| kernelDensity | Kernel density estimation |
| kernelDiscreteDensitySmooth | Density and/or kernel regression estimator with conditioning... |
| kernelFun | Basic univatiate kernel functions |
| kernelMixedDensity | Density with conditioning on discrete and continuous... |
| kernelMixedSmooth | Smoothing with conditioning on discrete and continuous... |
| kernelSmooth | Local kernel smoother |
| kernelWeights | Kernel-based weights |
| logTaylor | Modified logarithm with derivatives |
| LSCV | Least-squares cross-validation function for the... |
| pit | Probability integral transform |
| prepareKernel | Check the data for kernel estimation |
| smoothEmplik | Smoothed Empirical Likelihood function value |
| sparseVectorToList | Convert a weight vector to list |
| svdlm | Least-squares regression via SVD |
| tlog | d-th derivative of the k-th-order Taylor expansion of log(x) |
| trimmed.weighted.mean | Weighted trimmed mean |
