Surv2                   Creating data frame
bs.derivs               Derivative of B-spline
bssmle                  B-spline Sieve Maximum Likelihood Estimation
bssmle_aipw             B-spline Sieve Maximum Likelihood Estimation
                        for Interval-Censored Competing Risks Data and
                        Missing Cause of Failure
bssmle_lse              Least-Squares Estimator of the Information
                        Matrix
bssmle_lse_lt           Least-Squares Estimator of the Information
                        Matrix
bssmle_lt               B-spline Sieve Maximum Likelihood Estimation
                        for Left-Truncated and Interval-Censored
                        Competing Risks Data
bssmle_se               Bootstrap varince-covariance estimation
bssmle_se_aipw          Bootstrap varince-covariance estimation for
                        interval-censored competing risks data and
                        missing cause of failure
ciregic                 Competing Risks Regression with
                        Interval-Censored Data
ciregic_aipw            Competing Risks Regression with
                        Interval-Censored Data and Missing Cause of
                        Failure
ciregic_lt              Competing Risks Regression with Left-truncated
                        and Interval-Censored Data
dataprep                Data manipulation
dataprep_lt             Data preparation
dbs                     Derivative of B-spline
fit                     Output of 'ciregic'
fit_aipw                Output of 'ciregic_aipw'
fit_lt                  Output of 'ciregic_lt'
longdata                Simulated interval-censored competing risks
                        data - long format
longdata_lt             Simulated left-truncated and interval-censored
                        competing risks data - long format
naive_b                 Initial values for the sieve maximum likelihood
                        estimation
predict.ciregic         Covariate-Specific Cumulative Incidence
                        Prediction
predict.ciregic_aipw    Covariate-Specific Cumulative Incidence
                        Prediction
predict.ciregic_lt      Covariate-Specific Cumulative Incidence
                        Prediction
predict.dbs             Prediction of derivative of B-spline
pseudo.HIV.long         Artificial HIV dataset
simdata                 Simulated interval-censored competing risks
                        data with 2 covariates - wide format
simdata_aipw            Simulated interval censored data with 2
                        covariates in the presence of 50\% of missing
                        cause of failure - wide format
simdata_lt              Simulated left-truncated and interval-censored
                        competing risks data with 2 covariates - wide
                        format
summary.ciregic         Summary of 'ciregic'
summary.ciregic_aipw    Summary of 'ciregic_aipw'
summary.ciregic_lt      Summary of 'ciregic_lt'
vcov.ciregic            Variance-covariance matrix of 'ciregic'
vcov.ciregic_aipw       Variance-covariance matrix of 'ciregic_aipw'
vcov.ciregic_lt         Variance-covariance matrix of 'ciregic_lt'
vcov.summary.ciregic    Variance-covariance matrix of 'summary.ciregic'
vcov.summary.ciregic_aipw
                        Variance-covariance matrix of
                        'summary.ciregic_aipw'
vcov.summary.ciregic_lt
                        Variance-covariance matrix of
                        'summary.ciregic_lt'
waldtest                Wald test for 'ciregic' and 'ciregic_lt'
