Man pages for lgspline
Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
| AGAmult_wrapper | Efficient Matrix Multiplication for... |
| approx_grad | Finite-difference Gradient Computer |
| armaInv | Matrix Inversion using Armadillo |
| coef.lgspline | Extract model coefficients |
| collapse_block_diagonal | Collapse Matrix List into a Single Block-Diagonal Matrix |
| compute_dG_dlambda | Compute Derivative of Penalty Matrix G with Respect to Lambda |
| compute_dGhalf | Compute Matrix Square Root Derivative |
| compute_dG_u_dlambda_xy | Compute Derivative of... |
| compute_dW_dlambda_wrapper | Compute Derivative of Penalty Matrix G with Respect to Lambda... |
| compute_G_eigen | Compute Eigenvalues and Related Matrices for G |
| compute_GhalfXy_temp_wrapper | Compute Component... |
| compute_gram_block_diagonal | Compute Gram Matrix for Block Diagonal Structure |
| compute_Lambda | Construct Smoothing Spline Penalty Matrix |
| compute_trace_UGXX_wrapper | Calculate Trace of Matrix Product... |
| create_block_diagonal | Create Block Diagonal Matrix |
| create_onehot | Create One-Hot Encoded Matrix |
| damped_newton_r | Damped Newton-Raphson Parameter Optimization |
| Details | Lagrangian Multiplier Smoothing Splines: Mathematical Details |
| efficient_bfgs | BFGS Implementation for REML Parameter Estimation |
| efficient_matrix_mult | Efficient Matrix Multiplication |
| expgrid | Generate Grid Indices Without expand.grid() |
| find_extremum | Find Extremum of Fitted Lagrangian Multiplier Smoothing... |
| find_neighbors | Find Neighboring Cluster Partitions Using Midpoint Distance... |
| GAmult_wrapper | Efficient Matrix Multiplication of G and A Matrices |
| generate_posterior | Generate Posterior Samples from Fitted Lagrangian Multiplier... |
| get_2ndDerivPenalty | Compute Integrated Squared Second Derivative Penalty Matrix... |
| get_2ndDerivPenalty_wrapper | Wrapper for Smoothing Spline Penalty Computation |
| get_B | Get Constrained GLM Coefficient Estimates |
| get_centers | Get Centers for Partitioning |
| get_interaction_patterns | Generate Interaction Variable Patterns |
| get_polynomial_expansions | Generate Design Matrix with Polynomial and Interaction Terms |
| get_U | Efficiently Construct U Matrix |
| gramMatrix | Compute Gram Matrix |
| grapes-times-times-grapes | Efficient Matrix Multiplication Operator |
| invert | Matrix Inversion with Fallback Methods |
| is_binary | Test if Vector is Binary |
| knot_expand_list | Expand Matrix into Partition Lists Based on Knot Boundaries |
| leave_one_out | Compute Leave-One-Out Cross-Validated predictions for... |
| lgspline | Fit Lagrangian Multiplier Smoothing Splines |
| lgspline.fit | Low-Level Fitting for Lagrangian Smoothing Splines |
| lgspline-methods | lgspline: Lagrangian Multiplier Smoothing Splines |
| lgspline-package | Lagrangian Multiplier Smoothing Splines |
| loglik_weibull | Compute Log-Likelihood for Weibull Accelerated Failure Time... |
| make_constraint_matrix | Create Smoothing Spline Constraint Matrix |
| make_derivative_matrix | Compute First and Second Derivative Matrices |
| make_partitions | Create Data Partitions Using Clustering |
| matinvsqrt | Calculate Matrix Inverse Square Root |
| matmult_block_diagonal | Multiply Block Diagonal Matrices in Parallel |
| matmult_U | Left-Multiply a List of Block-Diagonal Matrices by U |
| matsqrt | Calculate Matrix Square Root |
| nr_iterate | Compute Newton-Raphson Parameter Update with Numerical... |
| plot.lgspline | Plot Method for Lagrangian Multiplier Smoothing Spline Models |
| predict.lgspline | Predict Method for Fitted Lagrangian Multiplier Smoothing... |
| print.lgspline | Print Method for lgspline Objects |
| print.summary.lgspline | Print Method for lgspline Object Summaries |
| prior_loglik | Log-Prior Distribution Evaluation for lgspline Models |
| softplus | Compute softplus transform |
| std | Standardize Vector to Z-Scores |
| summary.lgspline | Summary method for lgspline Objects |
| take_derivative | Calculate Derivatives of Polynomial Terms |
| take_interaction_2ndderivative | Calculate Second Derivatives of Interaction Terms |
| tune_Lambda | Tune Smoothing and Ridge Penalties via Generalized Cross... |
| unconstrained_fit_default | Unconstrained Generalized Linear Model Estimation |
| unconstrained_fit_weibull | Unconstrained Weibull Accelerated Failure Time Model... |
| vectorproduct_block_diagonal | Vector-Matrix Multiplication for Block Diagonal Matrices |
| wald_univariate | Univariate Wald Tests and Confidence Intervals for Lagrangian... |
| weibull_dispersion_function | Estimate Weibull Dispersion for Accelerated Failure Time... |
| weibull_family | Weibull Family for Survival Model Specification |
| weibull_glm_weight_function | Weibull GLM Weight Function for Constructing Information... |
| weibull_qp_score_function | Compute gradient of log-likelihood of Weibull accelerated... |
| weibull_scale | Estimate Scale for Weibull Accelerated Failure Time Model |
| weibull_shur_correction | Correction for the Variance-Covariance Matrix for Uncertainty... |
