A Haar-Fisz algorithm for Poisson intensity estimation.
	Will denoise Poisson distributed sequences where
        underlying intensity is not constant. Uses the multiscale
        variance-stabilization method called the Haar-Fisz transform.
        Contains functions to carry out the forward and inverse
        Haar-Fisz transform and denoising on near-Gaussian sequences.
        Can also carry out cycle-spinning.
	Main reference: Fryzlewicz, P. and Nason, G.P. (2004)
	"A Haar-Fisz algorithm for Poisson intensity estimation."
        Journal of Computational and Graphical Statistics,
        13, 621-638. <doi:10.1198/106186004X2697>.

Simple tools for converting columns to new data types. Intuitive functions for columns with missing values.

A collection of functions for sampling and simulating 3D surfaces and objects 
    and estimating metrics like rugosity, fractal dimension, convexity, sphericity, circularity, 
    second moments of area and volume, and more.

Package provides the estimation of the structure and the parameters, sampling methods and structural plots of Hierarchical Archimedean Copulae (HAC).

Use the Official Hacker News API through R. Retrieve
    posts, articles and other items in form of convenient R objects.

Performs iterative extrapolation of species' haplotype accumulation curves using a nonparametric stochastic (Monte Carlo) optimization method for assessment of specimen sampling completeness based on the approach of Phillips et al. (2015) <doi:10.1515/dna-2015-0008>, Phillips et al. (2019) <doi:10.1002/ece3.4757> and Phillips et al. (2020) <doi: 10.7717/peerj-cs.243>. 'HACSim' outputs a number of useful summary statistics of sampling coverage ("Measures of Sampling Closeness"), including an estimate of the likely required sample size (along with desired level confidence intervals) necessary to recover a given number/proportion of observed unique species' haplotypes. Any genomic marker can be targeted to assess likely required specimen sample sizes for genetic diversity assessment. The method is particularly well-suited to assess sampling sufficiency for DNA barcoding initiatives. Users can also simulate their own DNA sequences according to various models of nucleotide substitution. A Shiny app is also available.