Man pages for peterrobertcurtis/SSM
Fit and Analyze Smooth Supersaturated Models
| comb | Generate all desired exponent vectors of a given degree. |
| compute.covariance | Compute the unscaled covariance matrix. |
| compute.covariance.from.distance | Compute unscaled covariance matrix from a supplied distance... |
| compute.interactions | Compute Total interaction indices and Sobol indices for... |
| compute.main.effects | Compute main effects |
| compute.residuals | Compute the Leave-One-Out error at all design points. |
| compute.specific.interaction | Compute the Sobol index for a given interaction. |
| compute.specific.total.interaction | Compute Total interaction variance |
| compute.total.effects | Compute Total effects |
| concentrated.likelihood | Compute the concentrated likelihood of a covariance matrix. |
| construct.dmm | Construct the design model matrix |
| construct.K | Construct the K matrix for a given multivariate basis. |
| construct.K.1d | Construct the K matrix for a given univariate basis. |
| construct.P | Construct the change of basis matrix from multivariate... |
| construct.P.1d | Construct the change of basis matrix from univariate... |
| degl | Construct matrix of exponent vectors. |
| estimate.GP | Estimate the parameters of the metamodel error estimating GP. |
| find.theta | Compute the SSM vector of parameters. |
| fit.ssm | Fit a smooth supersaturated model |
| get.K.element | Compute entry of K matrix. |
| identify.main.effect.terms | Identify main effect terms |
| identify.total.effect.terms | Identify total effect terms |
| likelihood.plot | Plot the concentrated likelihood of an SSM. |
| lineij | Average the values in a vector between two cutoff points... |
| new.distance | Compute the distance matrix of an SSM design. |
| optimize.by.interval.maximum | Optimize concentrated likelihood. |
| partial.deriv.ssm | Compute second partial derivative of a smooth supersaturated... |
| plot.SSM | Plot smooth supersaturated model main effects |
| predict.SSM | Point prediction of smooth supersaturated models. |
| sensitivity.plot | Plot the sensitivity indices of a smooth supersaturated... |
| show-SSM-method | Summarise SSM class object |
| smoothness.over.design | Compute the smoothness of an SSM at all design points. |
| SSM | SSM: A package for fitting smooth supersaturated models... |
| SSM-class | An S4 class to represent a smooth supersaturated model |
| transform11 | Transform a design to [-1, 1]^d |
| update.sensitivity | Update an SSM object with the term variances and Sobol... |
