ig
An R Package for a General Class of Inverse Gaussian Distributions. The inverse Gaussian distribution is a positively skewed probability model that has received great attention in the last 20 years. Recently, a family that generalizes this model called inverse Gaussian type distributions has been developed. The new R package named ig has been designed to analyze data from inverse Gaussian type distributions. This package contains basic probabilistic functions, lifetime indicators and a random number generator from this model. Also, parameter estimates and diagnostics analysis can be obtained using likelihood methods by means of this package. In addition, goodness-of-fit methods are implemented in order to detect the suitability of the model to the data. The capabilities and features of the ig package are illustrated using simulated and real data sets. Furthermore, some new results related to the inverse Gaussian type distribution are also obtained. Moreover, a simulation study is conducted for evaluating the estimation method implemented in the ig package.
This software is also peer reviewed by journal JSS.
This software is also peer reviewed by journal JSS.
Keywords for this software
References in zbMATH (referenced in 8 articles , 1 standard article )
Showing results 1 to 8 of 8.
Sorted by year (- Chaturvedi, Ajit; Bapat, Sudeep R.; Joshi, Neeraj: Purely sequential and (k)-stage procedures for estimating the mean of an inverse Gaussian distribution (2020)
- Chaturvedi, Ajit; Bapat, Sudeep R.; Joshi, Neeraj: Multi-stage point estimation of the mean of an inverse Gaussian distribution (2019)
- Wanke, Peter; Ewbank, Henrique; Leiva, Víctor; Rojas, Fernando: Inventory management for new products with triangularly distributed demand and lead-time (2016)
- Jones, M. C.: Relationships between distributions with certain symmetries (2012)
- Kotz, Samuel; Leiva, Víctor; Sanhueza, Antonio: Two new mixture models related to the inverse Gaussian distribution (2010)
- Sanhueza, Antonio; Leiva, Víctor; Flores, Esteban: On a length-biased life distribution based on the sinh-normal model (2009)
- Leiva, Víctor; Sanhueza, Antonio; Sen, Pranab K.; Paula, Gilberto A.: Random number generators for the generalized Birnbaum-Saunders distribution (2008)
- Víctor Leiva;Hugo Hernández; Antonio Sanhueza: An R Package for a General Class of Inverse Gaussian Distributions (2008) not zbMATH