smurf v1.0.6


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Sparse Multi-Type Regularized Feature Modeling

Implementation of the SMuRF algorithm of Devriendt et al. (2018) <arXiv:1810.03136> to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.

Functions in smurf

Name Description
plot_lambda Plot Goodness-of-Fit Statistics or Information Criteria
summary.glmsmurf Summary of a Multi-Type Regularized GLM Fitted Using the SMuRF Algorithm
deviance.glmsmurf Deviance of Estimated Model
coef.glmsmurf Coefficients of Estimated Model
residuals.glmsmurf Residuals of Estimated Model
predict_reest Predictions Using Re-estimated Model
plot_reest Plot Coefficients of Re-estimated Model
predict.glmsmurf Predictions Using Estimated Model
fitted_reest Fitted Values of Re-estimated Model
deviance_reest Deviance of Re-estimated Model
smurf-package smurf: Sparse Multi-Type Regularized Feature Modeling
residuals_reest Residuals of Re-estimated Model
coef_reest Coefficients of Re-estimated Model
glmsmurf.control Control Function for Fitting a Multi-Type Regularized GLM Using the SMuRF Algorithm.
glmsmurf Fit a Multi-Type Regularized GLM Using the SMuRF Algorithm
fitted.glmsmurf Fitted Values of Estimated Model
p Define Individual Subpenalties for a Multi-Type Regularized GLM
glmsmurf-class Class of Multi-Type Regularized GLMs Fitted Using the SMuRF Algorithm
plot.glmsmurf Plot Coefficients of Estimated Model
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Vignettes of smurf

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Last month downloads


Type Package
Date 2020-05-16
License GPL (>= 2)
LinkingTo Rcpp, RcppArmadillo (>= 0.8.300.1.0)
VignetteBuilder knitr
ByteCompile yes
Encoding UTF-8
LazyData yes
NeedsCompilation yes
RoxygenNote 7.1.0
Packaged 2020-05-16 07:37:43 UTC; tom
Repository CRAN
Date/Publication 2020-05-17 01:30:06 UTC

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