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paulnorthrop
rust:Ratio-of-Uniforms Simulation with Transformation
Uses the generalized ratio-of-uniforms (RU) method to simulate from univariate and (low-dimensional) multivariate continuous distributions. The user specifies the log-density, up to an additive constant. The RU algorithm is applied after relocation of mode of the density to zero, and the user can choose a tuning parameter r. For details see Wakefield, Gelfand and Smith (1991) <DOI:10.1007/BF01889987>, Efficient generation of random variates via the ratio-of-uniforms method, Statistics and Computing (1991) 1, 129-133. A Box-Cox variable transformation can be used to make the input density suitable for the RU method and to improve efficiency. In the multivariate case rotation of axes can also be used to improve efficiency. From version 1.2.0 the 'Rcpp' package <https://cran.r-project.org/package=Rcpp> can be used to improve efficiency.
Maintained by Paul J. Northrop. Last updated 7 months ago.
1977bayesian-inferencekindermanmonahanofposterior-samplesratioratio-of-uniformsratio-of-uniforms-methodrcppsimulationtransformationuniformsopenblascpp
11.0 match 7.13 score 36 scripts 7 dependents
rvlenth
estimability:Tools for Assessing Estimability of Linear Predictions
Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly. Estimability theory is discussed in many linear-models textbooks including Chapter 3 of Monahan, JF (2008), "A Primer on Linear Models", Chapman and Hall (ISBN 978-1-4200-6201-4).
Maintained by Russell Lenth. Last updated 9 months ago.
0.5 match 2 stars 9.64 score 18 scripts 242 dependents