hoa

hoa: An R package bundle for higher order likelihood inference. Performs likelihood-based inference for a wide range of regression models. Provides higher-order approximations for inference based on extensions of saddlepoint type arguments as discussed in the book Applied Asymptotics: Case Studies in Small-Sample Statistics by Brazzale, Davison, and Reid (2007).

Keywords for this software

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References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
Sorted by year (citations)

  1. Biehler, Martin; Holling, Heinz; Doebler, Philipp: Saddlepoint approximations of the distribution of the person parameter in the two parameter logistic model (2015)
  2. Ventura, Laura; Sartori, Nicola; Racugno, Walter: Objective Bayesian higher-order asymptotics in models with nuisance parameters (2013)
  3. Robinson, Andrew P.; Hamann, Jeff D.: Forest analytics with R (2011)
  4. Brazzale, Alessandra R.; Davison, Anthony C.: Accurate parametric inference for small samples (2008)