Log-Concave Distribution Estimation with Interval-Censored Data

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Documentation for package ‘iclogcondist’ version 1.0.1

• DESCRIPTION file.

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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