DBKGrad-package: DBKGrad - Discrete Beta Kernel Graduation
In DBKGrad: Discrete Beta Kernel Graduation of Mortality Data
Description
Details
Author(s)
References
See Also
Description
This package allows for nonparametric graduation of mortality rates using the discrete beta kernel estimator in both its fixed (Mazza and Punzo, 2011) and adaptive (Mazza and Punzo, 2013a, 2013b) variants.
Details
Package: DBKGrad
Type: Package
Version: 1.6
Date: 2014-10-24
License: GNU-2
Author(s)
Angelo Mazza and Antonio Punzo
Maintainer: Angelo Mazza <a.mazza@unict.it>
References
Elzhov TV, Mullen KM, Bolker B (2010) minpack.lm: R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK. R package version 1.1-5. URL http://CRAN.R-project.org/package=minpack.lm.
Bagnato L, Punzo A (2013) Finite Mixtures of Unimodal Beta and Gamma Densities and the k-Bumps Algorithm. Computational Statistics, 28 (4), pp. 1571-159. doi:710.1007/s00180-012-0367-4.
Mazza A, Punzo A (2011) Discrete Beta Kernel Graduation of Age-Specific Demographic Indicators. In S Ingrassia, R Rocci, M Vichi (eds.), New Perspectives in Statistical Modeling and Data Analysis, Studies in Classification, Data Analysis and Knowledge Organization, pp. 127-134. Springer-Verlag, Berlin-Heidelberg.
Mazza A, Punzo A (2013a) Graduation by Adaptive Discrete Beta Kernels. In A Giusti, G Ritter, M Vichi (eds.), Classification and Data Mining, Studies in Classification, Data Analysis and Knowledge Organization, pp. 77-84. Springer-Verlag, Berlin-Heidelberg.
Mazza A, Punzo A (2013b) Using the Variation Coefficient for Adaptive Discrete Beta Kernel Graduation. In P Giudici, S Ingrassia, M Vichi (eds.), Advances in Statistical Modelling for Data Analysis, Studies in Classification, Data Analysis and Knowledge Organization, pp. 225-232, Springer International Publishing, Switzerland.
Mazza A, Punzo A (2014) DBKGrad: An R Package for Mortality Rates Graduation by Discrete Beta Kernel Techniques. Journal of Statistical Software, Code Snippets, 572, 1-18.
More J (1978) The Levenberg-Marquardt Algorithm: Implementation and Theory. In G Watson (ed.), Numerical Analysis, volume 630 of Lecture Notes in Mathematics, pp. 104-116. Springer- Verlag, Berlin-Heidelberg.
Punzo A (2010) Discrete Beta-type Models. In H Locarek-Junge, C Weihs (eds.), Classification as a Tool for Research, Studies in Classification, Data Analysis and Knowledge Organization, pp. 253-261. Springer-Verlag, Berlin-Heidelberg.
Punzo A, Zini A (2012) Discrete Approximations of Continuous and Mixed Measures on a Compact Interval Statistical Papers, 53(3), 563-575.
See Also
DBKGrad documentation built on May 2, 2019, 8:43 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Details Author(s) References See Also
Description
This package allows for nonparametric graduation of mortality rates using the discrete beta kernel estimator in both its fixed (Mazza and Punzo, 2011) and adaptive (Mazza and Punzo, 2013a, 2013b) variants.
Details
| Package: | DBKGrad |
| Type: | Package |
| Version: | 1.6 |
| Date: | 2014-10-24 |
| License: | GNU-2 |
Author(s)
Angelo Mazza and Antonio Punzo
Maintainer: Angelo Mazza <a.mazza@unict.it>
References
Elzhov TV, Mullen KM, Bolker B (2010) minpack.lm: R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK. R package version 1.1-5. URL http://CRAN.R-project.org/package=minpack.lm.
Bagnato L, Punzo A (2013) Finite Mixtures of Unimodal Beta and Gamma Densities and the k-Bumps Algorithm. Computational Statistics, 28 (4), pp. 1571-159. doi:710.1007/s00180-012-0367-4.
Mazza A, Punzo A (2011) Discrete Beta Kernel Graduation of Age-Specific Demographic Indicators. In S Ingrassia, R Rocci, M Vichi (eds.), New Perspectives in Statistical Modeling and Data Analysis, Studies in Classification, Data Analysis and Knowledge Organization, pp. 127-134. Springer-Verlag, Berlin-Heidelberg.
Mazza A, Punzo A (2013a) Graduation by Adaptive Discrete Beta Kernels. In A Giusti, G Ritter, M Vichi (eds.), Classification and Data Mining, Studies in Classification, Data Analysis and Knowledge Organization, pp. 77-84. Springer-Verlag, Berlin-Heidelberg.
Mazza A, Punzo A (2013b) Using the Variation Coefficient for Adaptive Discrete Beta Kernel Graduation. In P Giudici, S Ingrassia, M Vichi (eds.), Advances in Statistical Modelling for Data Analysis, Studies in Classification, Data Analysis and Knowledge Organization, pp. 225-232, Springer International Publishing, Switzerland.
Mazza A, Punzo A (2014) DBKGrad: An R Package for Mortality Rates Graduation by Discrete Beta Kernel Techniques. Journal of Statistical Software, Code Snippets, 572, 1-18.
More J (1978) The Levenberg-Marquardt Algorithm: Implementation and Theory. In G Watson (ed.), Numerical Analysis, volume 630 of Lecture Notes in Mathematics, pp. 104-116. Springer- Verlag, Berlin-Heidelberg.
Punzo A (2010) Discrete Beta-type Models. In H Locarek-Junge, C Weihs (eds.), Classification as a Tool for Research, Studies in Classification, Data Analysis and Knowledge Organization, pp. 253-261. Springer-Verlag, Berlin-Heidelberg.
Punzo A, Zini A (2012) Discrete Approximations of Continuous and Mixed Measures on a Compact Interval Statistical Papers, 53(3), 563-575.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.