| countgmifs-package {countgmifs} | R Documentation |
Discrete Response Regression for High-Dimensional Data: Discrete Response Generalized Monotone Incremental Forward Stagewise Regression
Description
This package provides a function that fits a Poisson or negative binomial model when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.
Details
The DESCRIPTION file:
| Package: | countgmifs |
| Title: | Discrete Response Regression for High-Dimensional Data |
| Version: | 0.0.2 |
| Authors@R: | person("Kellie", "Archer", email = "archer.43@osu.edu", role = c("aut", "cre")) |
| Description: | Provides a function for fitting Poisson and negative binomial regression models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method. |
| Depends: | R (>= 3.5.0), MASS |
| License: | GPL (>=2) |
| Encoding: | UTF-8 |
| LazyData: | true |
| RoxygenNote: | 6.0.1.9000 |
| Author: | Kellie Archer [aut, cre] |
| Maintainer: | Kellie Archer <archer.43@osu.edu> |
Index of help topics:
coef.countgmifs Extract Model Coefficients.
countgmifs Discrete Response Generalized Monotone
Incremental Forward Stagewise Regression.
countgmifs-package Discrete Response Regression for
High-Dimensional Data: Discrete Response
Generalized Monotone Incremental Forward
Stagewise Regression
plot.countgmifs Plot Solution Path for a Count GMIFS Fitted
Model.
predict.countgmifs Predict Outcome for Count GMIFS Fitted Model.
print.countgmifs Print the Contents of a Count GMIFS Fitted
Object.
summary.countgmifs Summarize a Count GMIFS Object.
This package contains functions for fitting a penalized discrete response model (either negative binomial or Poisson) and extracting estimated coefficients, predictions, and plots. The model and methods can be used when the response to be predicted is discrete, and is particularly relevant when there are more covariates than observations.
Author(s)
NA Kellie J. Archer <archer.43@osu.edu>
Maintainer: NA Kellie J. Archer <archer.43@osu.edu>
References
Makowski M., Archer K.J. (2015) Generalized monotone incremental forward stagewise method for modeling count data: application predicting micronuclei frequency. Cancer Informatics, 14(Suppl 2), 97–105.