Estimate a Log-Concave Probability Density from Iid Observations


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Documentation for package ‘logcondens’ version 2.1.8

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logcondens-package Estimate a Log-Concave Probability Density from iid Observations
activeSet Computes a Log-Concave Probability Density Estimate via an Active Set Algorithm
activeSetLogCon Computes a Log-Concave Probability Density Estimate via an Active Set Algorithm
activeSetRoutines Auxiliary Numerical Routines for the Function activeSetLogCon
brightstar Bright star dataset used to illustrate log-concave density estimation
c2hat Functions that are used by logConCI
confIntBootLogConROC_t0 Function to compute a bootstrap confidence interval for the ROC curve at a given t, based on the log-concave ROC curve
etaphi Changes Between Parametrizations
evaluateLogConDens Evaluates the Log-Density MLE and Smoothed Estimator at Arbitrary Real Numbers xs
ftilde Functions that are used by logConCI
icmaLogCon Computes a Log-Concave Probability Density Estimate via an Iterative Convex Minorant Algorithm
intECDF Computes the Integrated Empirical Distribution Function at Arbitrary Real Numbers in s
intF Computes the Integral of the estimated CDF at Arbitrary Real Numbers in s
isoMean Pool-Adjacent Violaters Algorithm: Least Square Fit under Monotonicity Constraint
J00 Numerical Routine J and Some Derivatives
J10 Numerical Routine J and Some Derivatives
J11 Numerical Routine J and Some Derivatives
J20 Numerical Routine J and Some Derivatives
Jfunctions Numerical Routine J and Some Derivatives
Lhat_eta Value of the Log-Likelihood Function L, where Input is in Eta-Parametrization
LocalCoarsen Auxiliary Numerical Routines for the Function activeSetLogCon
LocalConvexity Auxiliary Numerical Routines for the Function activeSetLogCon
LocalExtend Auxiliary Numerical Routines for the Function activeSetLogCon
LocalF Auxiliary Numerical Routines for the Function activeSetLogCon
LocalMLE Auxiliary Numerical Routines for the Function activeSetLogCon
LocalNormalize Auxiliary Numerical Routines for the Function activeSetLogCon
LocalVariance Auxiliary Numerical Routines for the Function activeSetLogCon
Local_LL Value of the Log-Likelihood Function L, where Input is in Phi-Parametrization
Local_LL_all Log-likelihood, New Candidate and Directional Derivative for L
log-concave Estimate a Log-Concave Probability Density from iid Observations
logcon Estimate a Log-Concave Probability Density from iid Observations
logConCI Compute pointwise confidence interval for a density assuming log-concavity
logConCIfunctions Functions that are used by logConCI
logConDens Compute log-concave density estimator and related quantities
logcondens Estimate a Log-Concave Probability Density from iid Observations
logConROC Compute ROC curve based on log-concave estimates for the constituent distributions
logconTwoSample Compute p-values for two-sample test based on log-concave CDF estimates
maxDiffCDF Compute maximal difference between CDFs corresponding to log-concave estimates
MLE Unconstrained piecewise linear MLE
pancreas Data from pancreatic cancer serum biomarker study
phieta Changes Between Parametrizations
plot.dlc Standard plots for a dlc object
preProcess Compute a weighted sample from initial observations
Q00 Numerical Routine Q
qloglin Quantile Function In a Simple Log-Linear model
quadDeriv Gradient and Diagonal of Hesse Matrix of Quadratic Approximation to Log-Likelihood Function L
quantilesLogConDens Function to compute Quantiles of Fhat
reliability Reliability dataset used to illustrate log-concave density estimation
reparametrizations Changes Between Parametrizations
rLCD Functions that are used by logConCI
rlogcon Generate random sample from the log-concave and the smoothed log-concave density estimator
robust Robustification and Hermite Interpolation for ICMA
ROCx Compute ROC curve at a given x based on log-concave estimates for the constituent distributions
summary.dlc Summarizing log-concave density estimation