hash - Full Featured Implementation of Hash Tables/Associative Arrays/Dictionaries

Implements a data structure similar to hashes in Perl and dictionaries in Python but with a purposefully R flavor. For objects of appreciable size, access using hashes outperforms native named lists and vectors.

Last updated 1 years ago

7.48 score 1 stars 52 dependents 4.0k scripts 4.8k downloads

ngspatial - Fitting the Centered Autologistic and Sparse Spatial Generalized Linear Mixed Models for Areal Data

Provides tools for analyzing spatial data, especially non- Gaussian areal data. The current version supports the sparse restricted spatial regression model of Hughes and Haran (2013) <DOI:10.1111/j.1467-9868.2012.01041.x>, the centered autologistic model of Caragea and Kaiser (2009) <DOI:10.1198/jabes.2009.07032>, and the Bayesian spatial filtering model of Hughes (2017) <arXiv:1706.04651>.

Last updated 5 years ago

openblascpp

2.91 score 1 stars 2 dependents 34 scripts 341 downloads

batchmeans - Consistent Batch Means Estimation of Monte Carlo Standard Errors

Provides consistent batch means estimation of Monte Carlo standard errors.

Last updated 5 years ago

2.26 score 5 dependents 12 scripts 316 downloads

goweragreement - Bayesian Gower Agreement for Categorical Data

Provides tools for applying the Bayesian Gower agreement methodology (presented in the package vignette) to nominal or ordinal data. The framework can accommodate any number of units, any number of coders, and missingness; and can handle both one-way and two-way random study designs. Influential units and/or coders can be identified easily using leave-one-out statistics.

Last updated 5 months ago

1.30 score 1 scripts 150 downloads

sklarsomega - Measuring Agreement Using Sklar's Omega Coefficient

Provides tools for applying Sklar's Omega (Hughes, 2018) <arXiv:1803.02734> methodology to nominal scores, ordinal scores, percentages, counts, amounts (i.e., non-negative real numbers), and balances (i.e., any real number). The framework can accommodate any number of units, any number of coders, and missingness; and can be used to measure agreement with a gold standard, intra-coder agreement, and/or inter-coder agreement. Frequentist inference is supported for all levels of measurement. Bayesian inference is supported for continuous scores only.

Last updated 2 years ago

fortran

1.08 score 12 scripts 185 downloads

Rmodule - Automated Markov Chain Monte Carlo for Arbitrarily Structured Correlation Matrices

Supports automated Markov chain Monte Carlo for arbitrarily structured correlation matrices. The user supplies data, a correlation matrix in symbolic form, the current state of the chain, a function that computes the log likelihood, and a list of prior distributions. The package's flagship function then carries out a parameter-at-a-time update of all correlation parameters, and returns the new state. The method is presented in Hughes (2023), in preparation.

Last updated 1 years ago

openblascpp

1.00 score 138 downloads

krippendorffsalpha - Measuring Agreement Using Krippendorff's Alpha Coefficient

Provides tools for applying Krippendorff's Alpha methodology <DOI:10.1080/19312450709336664>. Both the customary methodology and Hughes' methodology <DOI:10.48550/arXiv.2210.13265> are supported, the former being preferred for larger datasets, the latter for smaller datasets. The framework supports common and user-defined distance functions, and can accommodate any number of units, any number of coders, and missingness. Interval estimation can be done in parallel for either methodology.

Last updated 2 years ago

1.00 score 7 scripts 375 downloads

copCAR - Fitting the copCAR Regression Model for Discrete Areal Data

Provides tools for fitting the copCAR (Hughes, 2015) <DOI:10.1080/10618600.2014.948178> regression model for discrete areal data. Three types of estimation are supported (continuous extension, composite marginal likelihood, and distributional transform), for three types of outcomes (Bernoulli, negative binomial, and Poisson).

Last updated 4 years ago

fortranopenblascpp

1.00 score 4 scripts 215 downloads

pearson7 - Maximum Likelihood Inference for the Pearson VII Distribution with Shape Parameter 3/2

Supports maximum likelihood inference for the Pearson VII distribution with shape parameter 3/2 and free location and scale parameters. This distribution is relevant when estimating the velocity of processive motor proteins with random detachment.

Last updated 5 years ago

1.00 score 6 scripts 143 downloads