R: Log-Concave Distribution Estimation with Interval-Censored Data

# Log-Concave Distribution Estimation with Interval-Censored Data

## Documentation for package ‘iclogcondist’ version 1.0.1

- DESCRIPTION file
- Package README

## Help Pages

case_II_X | Construct Case II Interval Censoring Data
current_status_X | Construct Case I Interval Censoring Data (Current Status Data)
data_prep | Prepare Data for Interval-Censored Model
find_dir_deriv | Compute Directional Derivatives for Active Set Algorithm
find_qsi | Compute qsi Matrix
get_F_at_x | Generic Function to compute F at X
get_F_at_x.iclogcondist | Evaluate F(x) for Objects of Class 'iclogcondist'
iclogcondist_visualization | Visualize the Estimated Cumulative Distribution Functions
icm_subset_cpp | Iterative Convex Minorant (ICM) Subset Algorithm
ic_LCMLE | Compute the log-concave MLE for Interval-censored Data using an Active Set Algorithm
ic_LCM_UMLE | Compute Least Concave Majorant (LCM) of the log of the Unconstrained MLE for Interval-Censored Data
ic_UMLE | Compute Unconstrained Maximum Likelihood Estimate for Interval-Censored Data
initial_values | Initial Values for Estimation under Log-concavity with Interval-Censored Data
lgnm | LGNM Data: Case II Interval Censoring Example
neg_log_like | Compute the Negative Log-Likelihood for the Interval-Censored Model
plot.iclogcondist | Plot Method for iclogcondist_plot Objects
ptllogis | Cumulative Distribution Function of a Truncated Log-Logistic Distribution
ptlnorm | Cumulative Distribution Function of a Truncated Log-Normal Distribution
ptweibull | Cumulative Distribution Function of a Truncated Weibull Distribution
qtllogis | Quantile Function of a Truncated Log-Logistic Distribution
qtlnorm | Quantile Function of a Truncated Log-Normal Distribution
qtweibull | Quantile Function of a Truncated Weibull Distribution
rtllogis | Simulate from a Truncated Log-Logistic Distribution
rtlnorm | Simulate from a Truncated Log-Normal Distribution
rtweibull | Simulate from a Truncated Weibull Distribution
simulate_ic_data | Simulate Interval-Censored Data
unique_X_weight | Find Unique Rows in a Matrix and Their Weights