e1071::gknn | Generalized k-Nearest Neighbors Classification or Regression | |
e1071::plot.svm | Plot SVM Objects | |
e1071::predict.svm | Predict Method for Support Vector Machines | |
e1071::svm | Support Vector Machines | |
e1071::write.svm | Write SVM Object to File | |
minqa::bobyqa | An R interface to the bobyqa implementation of Powell | |
minqa::newuoa | An R interface to the NEWUOA implementation of Powell | |
minqa::uobyqa | An R interface to the uobyqa implementation of Powell | |
quantreg::nlrq | Function to compute nonlinear quantile regression estimates | |
quantreg::residuals.nlrq | Return residuals of an nlrq object | |
MASS::area | Adaptive Numerical Integration | |
MASS::rms.curv | Relative Curvature Measures for Non-Linear Regression | |
stats::D | Symbolic and Algorithmic Derivatives of Simple Expressions | |
stats::getInitial | Get Initial Parameter Estimates | |
stats::nlm | Non-Linear Minimization | |
stats::nls.control | Control the Iterations in nls | |
stats::nls | Nonlinear Least Squares | |
stats::optim | General-purpose Optimization | |
stats::plot.profile.nls | Plot a profile.nls Object | |
stats::predict.nls | Predicting from Nonlinear Least Squares Fits | |
stats::profile.nls | Method for Profiling nls Objects | |
stats::vcov | Calculate Variance-Covariance Matrix for a Fitted Model Object |