R: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation

# Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation

## Documentation for package ‘lgspline’ version 1.2.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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
Details | Lagrangian Multiplier Smoothing Splines: Mathematical Details
equation | Print Closed-Form Fitted Equation from lgspline Model
equation.additive_lgspline | Print Closed-Form Fitted Equation from lgspline Model
equation.lgspline | 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.default | Generic for Numerical Integration
integrate.lgspline | Definite Integral of a Fitted lgspline
leave_one_out | Compute Leave-One-Out Cross-Validated Predictions
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.additive_lgspline | Print Method for additive_lgspline Objects
print.equation | Print Closed-Form Fitted Equation from lgspline Model
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.additive_lgspline | Summary Method for additive_lgspline Objects
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
weibull_shur_correction | Correction for the Variance-Covariance Matrix for Uncertainty in Scale