find.ab.params

spread

min.dist

numeric vector of length 2, initial search range for parameter a

alim

numeric vector of length 2, initial search range for parameter b

blim

numeric, determines how deeply to search

tolerance

This performs a brute-force search in parameter space.
The algorithm assumes a narrowing-down search will produce a decent fit.

internal

Uniform manifold approximation and projection is a technique
for dimension reduction. The algorithm was described by McInnes and
Healy (2018) in <arXiv:1802.03426>. This package provides an interface
for two implementations. One is written from scratch, including components
for nearest-neighbor search and for embedding. The second implementation
is a wrapper for 'python' package 'umap-learn' (requires separate
installation, see vignette for more details).

find.ab.params: Estimate a/b parameters

Description

Usage

Arguments

Value