| Name : R-FlexReg
| |
| Version : 1.3.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.4.1
| Date : 2024-09-18 01:57:44
|
| Group : Development/Libraries/Other
| Source RPM : R-FlexReg-1.3.0-lp154.4.1.src.rpm
|
| Size : 24.12 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Regression Models for Bounded Continuous and Discrete Responses
|
Description :
Functions to fit regression models for bounded continuous and discrete
responses. In case of bounded continuous responses (e.g., proportions
and rates), available models are the flexible beta (Migliorati, S., Di
Brisco, A. M., Ongaro, A. (2018) < doi:10.1214/17-BA1079>), the
variance-inflated beta (Di Brisco, A. M., Migliorati, S., Ongaro, A.
(2020) < doi:10.1177/1471082X18821213>), the beta (Ferrari, S.L.P.,
Cribari-Neto, F. (2004) < doi:10.1080/0266476042000214501>), and their
augmented versions to handle the presence of zero/one values (Di
Brisco, A. M., Migliorati, S. (2020) < doi:10.1002/sim.8406>) are
implemented. In case of bounded discrete responses (e.g., bounded
counts, such as the number of successes in n trials), available models
are the flexible beta-binomial (Ascari, R., Migliorati, S. (2021)
< doi:10.1002/sim.9005>), the beta-binomial, and the binomial are
implemented. Inference is dealt with a Bayesian approach based on the
Hamiltonian Monte Carlo (HMC) algorithm (Gelman, A., Carlin, J. B.,
Stern, H. S., Rubin, D. B. (2014) < doi:10.1201/b16018>). Besides,
functions to compute residuals, posterior predictives, goodness of fit
measures, convergence diagnostics, and graphical representations are
provided.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
