Details                 Lagrangian Multiplier Smoothing Splines:
                        Mathematical Details
coef.lgspline           Extract Coefficients from a Fitted lgspline
coef.wald_lgspline      Extract Coefficients from a wald_lgspline
                        Object
confint.lgspline        Confidence Intervals for lgspline Coefficients
confint.wald_lgspline   Extract Confidence Intervals from a
                        wald_lgspline Object
cox_dispersion_function
                        Cox PH Dispersion Function
cox_family              Cox Proportional Hazards Family for lgspline
cox_glm_weight_function
                        Cox PH GLM Weight Function
cox_helpers             Cox Proportional Hazards Helpers for lgspline
cox_qp_score_function   Cox PH Score Function for Quadratic Programming
                        and Blockfit
cox_schur_correction    Cox PH Schur Correction
create_onehot           Create One-Hot Encoded Matrix
equation                Print Closed-Form Fitted Equation from lgspline
                        Model
find_extremum           Find the Extremum of a Fitted lgspline
generate_posterior      Generate Posterior Samples from a Fitted
                        lgspline
generate_posterior_correlation
                        Generate Posterior Samples Propagating
                        Correlation Parameter Uncertainty
get_B_verification_examples
                        Verification Examples for get_B
integrate               Generic for Numerical Integration
integrate.lgspline      Definite Integral of a Fitted lgspline
leave_one_out           Compute Leave-One-Out Cross-Validated
                        Predictions for Gaussian Response/Identity Link
                        under Constraint
lgspline                Fit Lagrangian Multiplier Smoothing Splines
lgspline_cox            Fit Cox Proportional Hazards Model via lgspline
lgspline_negbin         Fit Negative Binomial Model via lgspline
lgspline_weibull        Fit Weibull Accelerated Failure Time Model via
                        lgspline
logLik.lgspline         Extract Log-Likelihood from a Fitted lgspline
loglik_cox              Compute Cox Partial Log-Likelihood
loglik_negbin           Compute Negative Binomial Log-Likelihood
loglik_weibull          Compute Log-Likelihood for Weibull Accelerated
                        Failure Time Model
matinvsqrt              Calculate Matrix Inverse Square Root for
                        Symmetric Matrices
matsqrt                 Calculate Matrix Square Root for Symmetric
                        Matrices
negbin_dispersion_function
                        NB Dispersion Function
negbin_family           Negative Binomial Family for lgspline
negbin_glm_weight_function
                        NB GLM Weight Function
negbin_helpers          Negative Binomial Regression Helpers for
                        lgspline
negbin_qp_score_function
                        NB Score Function for Quadratic Programming and
                        Blockfit
negbin_schur_correction
                        NB Schur Correction
negbin_theta            Estimate Negative Binomial Shape Parameter
plot.lgspline           Plot Method for lgspline Objects
plot.wald_lgspline      Plot Method for wald_lgspline Objects
predict.lgspline        Predict Method for lgspline Objects
print.lgspline          Print Method for lgspline Objects
print.summary.lgspline
                        Print Method for lgspline Summaries
print.wald_lgspline     Print Method for wald_lgspline Objects
prior_loglik            Log-Prior Distribution Evaluation for lgspline
                        Models
process_qp              Prepare Quadratic Programming Constraints for
                        lgspline
reml_grad_from_dV       Evaluate the REML gradient with respect to a
                        single correlation parameter
std                     Standardize Vector to Z-Scores
summary.lgspline        Summary Method for lgspline Objects
summary.wald_lgspline   Summary Method for wald_lgspline Objects
wald_univariate         Univariate Wald Tests and Confidence Intervals
                        for lgspline Coefficients
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
weibull_scale           Estimate Scale for Weibull Accelerated Failure
                        Time Model
weibull_schur_correction
                        Correction for the Variance-Covariance Matrix
                        for Uncertainty in Scale
