Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation

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Documentation for package ‘lgspline’ version 1.0.2

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.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 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.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.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