Numerical Routine J and Some Derivatives
Value of the Log-Likelihood Function L, where Input is in Eta-Parametrization
Value of the Log-Likelihood Function L, where Input is in Phi-Parametrization
Log-likelihood, New Candidate and Directional Derivative for L
Unconstrained piecewise linear MLE
Numerical Routine Q
Compute ROC curve at a given x based on log-concave estimates for the constituent distributions
Computes a Log-Concave Probability Density Estimate via an Active Set Algorithm
Auxiliary Numerical Routines for the Function activeSetLogCon
Bright star dataset used to illustrate log-concave density estimation
Function to compute a bootstrap confidence interval for the ROC curve at a given t, based on the log-concave ROC curve
Evaluates the Log-Density MLE and Smoothed Estimator at Arbitrary Real Numbers xs
Computes a Log-Concave Probability Density Estimate via an Iterative Convex Minorant Algorithm
Computes the Integrated Empirical Distribution Function at Arbitrary Real Numbers in s
Computes the Integral of the estimated CDF at Arbitrary Real Numbers in s
Pool-Adjacent Violaters Algorithm: Least Square Fit under Monotonicity Constraint
Compute pointwise confidence interval for a density assuming log-concavity
Functions that are used by logConCI
Compute log-concave density estimator and related quantities
Compute ROC curve based on log-concave estimates for the constituent distributions
Compute p-values for two-sample test based on log-concave CDF estimates
Estimate a Log-Concave Probability Density from iid Observations
Compute maximal difference between CDFs corresponding to log-concave estimates
Data from pancreatic cancer serum biomarker study
Standard plots for a dlc object
Compute a weighted sample from initial observations
Quantile Function In a Simple Log-Linear model
Gradient and Diagonal of Hesse Matrix of Quadratic Approximation to Log-Likelihood Function L
Function to compute Quantiles of Fhat
Reliability dataset used to illustrate log-concave density estimation
Changes Between Parametrizations
Generate random sample from the log-concave and the smoothed log-concave density estimator
Robustification and Hermite Interpolation for ICMA
Summarizing log-concave density estimation