%**% | Efficient Matrix Multiplication Operator |
coef.lgspline | Extract model coefficients |
create_onehot | Create One-Hot Encoded Matrix |
Details | Lagrangian Multiplier Smoothing Splines: Mathematical Details |
find_extremum | Find Extremum of Fitted Lagrangian Multiplier Smoothing Spline |
generate_posterior | Generate Posterior Samples from Fitted Lagrangian Multiplier Smoothing Spline |
leave_one_out | Compute Leave-One-Out Cross-Validated predictions for Gaussian Response/Identity Link under Constraint. |
lgspline | Fit Lagrangian Multiplier Smoothing Splines |
loglik_weibull | Compute Log-Likelihood for Weibull Accelerated Failure Time Model |
matinvsqrt | Calculate Matrix Inverse Square Root |
matsqrt | Calculate Matrix Square Root |
plot.lgspline | Plot Method for Lagrangian Multiplier Smoothing Spline Models |
predict.lgspline | Predict Method for Fitted Lagrangian Multiplier Smoothing Spline |
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 |
summary.lgspline | Summary method for lgspline Objects |
wald_univariate | Univariate Wald Tests and Confidence Intervals for Lagrangian Multiplier Smoothing Splines |
weibull_dispersion_function | Estimate Weibull Dispersion for Accelerated Failure Time Model |
weibull_family | Weibull Family for Survival Model Specification |
weibull_glm_weight_function | Weibull GLM Weight Function for Constructing Information Matrix |
weibull_qp_score_function | Compute gradient of log-likelihood of Weibull accelerated failure model without penalization |
weibull_scale | Estimate Scale for Weibull Accelerated Failure Time Model |
weibull_shur_correction | Correction for the Variance-Covariance Matrix for Uncertainty in Scale |