multicool - Permutations of Multisets in Cool-Lex Order

A set of tools to permute multisets without loops or hash tables and to generate integer partitions. The permutation functions are based on C code from Aaron Williams. Cool-lex order is similar to colexicographical order. The algorithm is described in Williams, A. Loopless Generation of Multiset Permutations by Prefix Shifts. SODA 2009, Symposium on Discrete Algorithms, New York, United States. The permutation code is distributed without restrictions. The code for stable and efficient computation of multinomial coefficients comes from Dave Barber. The code can be download from <http://tamivox.org/dave/multinomial/index.html> and is distributed without conditions. The package also generates the integer partitions of a positive, non-zero integer n. The C++ code for this is based on Python code from Jerome Kelleher which can be found here <https://jeromekelleher.net/category/combinatorics.html>. The C++ code and Python code are distributed without conditions.

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8.05 score 2 stars 296 dependents 16 scripts 39k downloads

s20x - Functions for University of Auckland Course STATS 201/208 Data Analysis

A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.

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7.44 score 4 stars 3 dependents 284 scripts 1.4k downloads

Hotelling - Hotelling's T^2 Test and Variants

A set of R functions which implements Hotelling's T^2 test and some variants of it. Functions are also included for Aitchison's additive log ratio and centred log ratio transformations.

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7.03 score 2 stars 4 dependents 185 scripts 1.6k downloads

CVglasso - Lasso Penalized Precision Matrix Estimation

Estimates a lasso penalized precision matrix via blockwise coordinate descent (BCD). This package is a simple wrapper around the popular 'glasso' package and extends and enhances its capabilities. These enhancements include built-in cross validation and visualizations. See Friedman et al. (2008) <doi:10.1093/biostatistics/kxm045> for details regarding the estimation method.

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5.11 score 1 dependents 43 scripts 300 downloads

Bolstad2 - Bolstad Functions

A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." This book was written by Bill (WM) Bolstad and published in 2009 by John Wiley & Sons (ISBN 978-0470046098).

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4.75 score 1 stars 8 dependents 79 scripts 672 downloads

comparison - Multivariate Likelihood Ratio Calculation and Evaluation

Functions for calculating and evaluating likelihood ratios from uni/multivariate continuous observations. The package includes the two-level functions to calculate the LR assuming multivariate normality, and another with drops this assumption and uses a multivariate kernel density estimate. The package also contains code to perform empirical cross entropy (ECE) calibration of likelihood ratios. The LR functions are based primarily on Aitken, C.G.G. and Lucy, D. (2004) <doi:10.1046/j.0035-9254.2003.05271.x>, "Evaluation of trace evidence in the form of multivariate data," Journal of the Royal Statistical Society: Series C (Applied Statistics), 53: 109-122. The ECE functions are based primarily on D. Ramos and J. Gonzalez-Rodrigues, (2008) "Cross-entropy analysis of the information in forensic speaker recognition," in Proc. IEEE Odyssey, Speaker Lang. Recognit. Workshop.

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4.41 score 3 stars 17 scripts 207 downloads

Bolstad - Functions for Elementary Bayesian Inference

A set of R functions and data sets for the book Introduction to Bayesian Statistics, Bolstad, W.M. (2017), John Wiley & Sons ISBN 978-1-118-09156-2.

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4.03 score 95 scripts 1.1k downloads

DET - Representation of DET Curve with Confidence Intervals

Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of different systems.

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4.02 score 21 scripts 209 downloads

fitPS - Fit Zeta Distributions to Forensic Data

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) <doi:10.1016/S1355-0306(01)71847-3>, although the implementation differs.

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3.30 score 7 scripts 259 downloads

relSim - Relative Simulator

A set of tools to explore the behaviour statistics used for forensic DNA interpretation when close relatives are involved. The package also offers some useful tools for exploring other forensic DNA situations.

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3.18 score 30 scripts 199 downloads

jaggR - Supporting Files and Functions for the Book Bayesian Modelling with 'JAGS'

All the data and functions used to produce the book. We do not expect most people to use the package for any other reason than to get simple access to the 'JAGS' model files, the data, and perhaps run some of the simple examples. The authors of the book are David Lucy (now sadly deceased) and James Curran. It is anticipated that a manuscript will be provided to Taylor and Francis around Augus 2020, with bibliographic details to follow at that point. Until such time, further information can be obtained by emailing James Curran.

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2.00 score 1 scripts 203 downloads

multimix - Fit Mixture Models Using the Expectation Maximisation (EM) Algorithm

A set of functions which use the Expectation Maximisation (EM) algorithm (Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x> Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, 39(1), 1--22) to take a finite mixture model approach to clustering. The package is designed to cluster multivariate data that have categorical and continuous variables and that possibly contain missing values. The method is described in Hunt, L. and Jorgensen, M. (1999) <doi:10.1111/1467-842X.00071> Australian & New Zealand Journal of Statistics 41(2), 153--171 and Hunt, L. and Jorgensen, M. (2003) <doi:10.1016/S0167-9473(02)00190-1> Mixture model clustering for mixed data with missing information, Computational Statistics & Data Analysis, 41(3-4), 429--440.

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2.00 score 229 downloads

dafs - Data Analysis for Forensic Scientists

Data and miscellanea to support the book "Introduction to Data analysis with R for Forensic Scientists." This book was written by James Curran and published by CRC Press in 2010 (ISBN: 978-1-4200-8826-7).

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1.36 score 1 stars 23 scripts 276 downloads

tfer - Forensic Glass Transfer Probabilities

Statistical interpretation of forensic glass transfer (Simulation of the probability distribution of recovered glass fragments).

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1.15 score 14 scripts 170 downloads