Man pages for activegp
Gaussian Process Based Design and Analysis for the Active Subspace Method
| activegp | Package activegp |
| as.matrix.const_C | Extract Matrix |
| C_GP | C matrix closed form expression for a GP. |
| C_GP_ci | CI on Eigenvalues via Monte Carlo/GP |
| C_GP_cpp | Equivalent of 'C_GP' using RcppArmadillo |
| C_Q | Active subspace for second order linear model |
| C_tr | Expected variance of trace of C |
| C_var | Element-wise Cn+1 variance |
| C_var2 | Alternative Variance of Update |
| d1 | Get Integerodifferential Quantities |
| domain_to_R | Rectangular Domain -> Unbounded Domain |
| domain_to_unit | Change a function's inputs to live in [-1, 1] |
| get_betagamma | Quantities for Acquisition Functions |
| grad_est_subspace | Estimate the Active Subspace of a Cheap Function using... |
| grad_W_kappa_ij2 | Covariance of kernel computations |
| grad_W_kappa_ij2_w2 | Covariance of kernel computations |
| logLikHessian | Hessian of the log-likelihood with respect to lengthscales... |
| Lt_GP | Active Subspace Prewarping |
| n11_2_01 | f:[-1, 1] -> R Becomes f:[0,1] -> R |
| plot.const_C | Plot const_C objectc |
| print.const_C | Print const_C objects |
| quick_C | Covariance of kernel computations |
| subspace_dist | Get the distance between subspaces defined as the ranges of A... |
| update_C2 | Update Constantine's C, using update formula |
| update.const_C | C update with new observations |
| W_kappa_ij | Covariance of kernel computations |
| W_kappa_ij2 | Covariance of kernel computations |
| W_kappa_ij_up | Covariance of kernel computations |
| W_kappa_lk | Covariance of kernel computations |
