# Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation

## Documentation for package ‘lgspline’ version 0.2.0

- DESCRIPTION file.

## Help Pages

%**% | 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