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fitPS (version 1.0.1)

Fit Zeta Distributions to Forensic Data

Description

Fits Zeta distributions (discrete power laws) to data that arises from forensic surveys of clothing on the presence of glass and paint in various populations. The general method is described to some extent in Coulson, S.A., Buckleton, J.S., Gummer, A.B., and Triggs, C.M. (2001) , although the implementation differs.

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Install

install.packages('fitPS')

Monthly Downloads

239

Version

1.0.1

License

GPL (>= 2)

Issues

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Repository

https://github.com/jmcurran/fitPS

Maintainer

James Curran

Last Published

March 20th, 2024

Functions in fitPS (1.0.1)

S3 print method for an object of class psFit

S3 print method for an object of class psData

S3 fitted method for an object of class psFit

Fit a Logarithmic Distribution to Forensic Data

Probability Functions

S3 plot method for an object of class psFit

Create a survey data set manually

S3 predict method for an object of class psFit

An S3 method for computing the mean of clothing survey for the number of groups or size of groups

An S3 method for computing the variance of clothing survey for the number of groups or size of groups

Variance generic

Generate zero inflated zeta random variates

S3 summary method for an object of class psFit

Read count data from file

Generate random variates from a zeta distribution

S3 method for objects of class psData

compareSurveysLRT

Compare two or more surveys on the basis of their shape parameters using a Likelihood Ratio Test

Compare two surveys on the basis of their shape parameters

S3 confint method for objects of class psFit

Fit a Zero-Inflated Zeta Distribution to Forensic Data

Fit a Zeta Distribution to Forensic Data

Size of Groups of Glass Data

as.data.frame.psData

Converts an object of class psData to a data.frame

Bootstrap confidence intervals or regions

Number of Groups of Glass Data