Multiscale Analysis for Density Functions


[Up] [Top]

Documentation for package ‘modehunt’ version 1.0.7

Help Pages

modehunt-package Multiscale Analysis for Density Functions
blocks Computes number of observations for each block
criticalValuesAll Compute critical values based on the set of all intervals
criticalValuesApprox Compute critical values for (1) the original test statistic with or without additive correction, based on the aprroximating set of intervals and (2) for the block procedure
criticalValuesBlock Compute critical values for (1) the original test statistic with or without additive correction, based on the aprroximating set of intervals and (2) for the block procedure
cvModeAll Critical values for test statistic based on all intervals
cvModeApprox Critical values for test statistic based on the approximating set of intervals
cvModeBlock Critical values for test statistic based on the block procedure
dlin Perturbed Uniform Distribution
lin Perturbed Uniform Distribution
minimalIntervals Compute set of minimal intervals
mode hunting Multiscale Analysis for Density Functions
modehunt Multiscale Analysis for Density Functions
modeHunting Multiscale analysis of a density on all possible intervals
modeHuntingApprox Multiscale analysis of a density on the approximating set of intervals
modeHuntingBlock Multiscale analysis of a density via block procedure
multiscale Multiscale Analysis for Density Functions
myRound Round 5 up to the next higher integer
plin Perturbed Uniform Distribution
preProcessX Prepare data vector according to available information on support endpoints of f
qlin Perturbed Uniform Distribution
rlin Perturbed Uniform Distribution