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aglm
View on CRAN: Click
here
Download and install aglm package within the R console
Install from CRAN:
install.packages("aglm")
Install from Github:
library("remotes")
install_github("cran/aglm") Install by package version:
library("remotes")
install_version("aglm", "0.4.1") Attach the package and use:
library("aglm")
Maintained by
Kenji Kondo
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-09
Latest Update: 2025-05-12
Description:
Provides functions to fit Accurate Generalized Linear Model (AGLM) models, visualize them, and predict for new data. AGLM is defined as a regularized GLM which applies a sort of feature transformations using a discretization of numerical features and specific coding methodologies of dummy variables. For more information on AGLM, see Suguru Fujita, Toyoto Tanaka, Kenji Kondo and Hirokazu Iwasawa (2020) .
How to cite:
Kenji Kondo (2021). aglm: Accurate Generalized Linear Model. R package version 0.4.1, https://cran.r-project.org/web/packages/aglm. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.4.0 (2021-06-09 14:10)
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Other R packages that aglm depends,
imports, suggests or enhances
Complete documentation for aglm
Functions, R codes and Examples using
the aglm R package
Some associated functions: AGLM_Input-class . AccurateGLM-class . CVA_AccurateGLM-class . aglm-package . aglm . coef.AccurateGLM . createEqualFreqBins . createEqualWidthBins . cv.aglm . cva.aglm . deviance.AccurateGLM . executeBinning . getLVarMatForOneVec . getODummyMatForOneVec . getUDummyMatForOneVec . plot.AccurateGLM . predict.AccurateGLM . print.AccurateGLM . residuals.AccurateGLM .
Some associated R codes: accurate-glm.R . aglm-input.R . aglm-package.R . aglm.R . binning.R . coef-aglm.R . cv-aglm.R . cva-aglm.R . deviance-aglm.R . get-dummies.R . plot-aglm.R . predict-aglm.R . print-aglm.R . residuals-aglm.R . Full aglm package functions and examples
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