R: Algorithms for Class Distribution Estimation

# Algorithms for Class Distribution Estimation

## Documentation for package ‘mlquantify’ version 0.2.0

- DESCRIPTION file
- Package README

## Help Pages

ACC | Adjusted Classify and Count
aeAegypti | Males and Females Aedes Aegypti data from Maletzke (2019)
CC | Classify and Count
DyS | DyS Framework
EMQ | Expectation-Maximization Quantification
getTPRandFPRbyThreshold | Estimates true and false positive rates
HDy_LP | HDy with Laplace smoothing
KUIPER | Quantification method based on Kuiper's test
MAX | Threshold selection method
MKS | Mixable Kolmogorov Smirnov
MS | Median Sweep
MS2 | Threshold selection method. Median Sweep
PACC | Probabilistic Adjusted Classify and Count
PCC | Probabilistic Classify and Count
PWK | Proportion-weighted k-nearest neighbor
SMM | Sample Mean Matching
SORD | Sample ORD Dissimilarity
T50 | Threshold selection method
X | Threshold selection method