R: Semiparametric Competing Risks Regression under Interval Censoring

# Semiparametric Competing Risks Regression under Interval Censoring

## Documentation for package ‘intccr’ version 3.0.4

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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'
Surv2 | Creating data frame
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'