Holistic Generalized Linear Models
Holistic linear regression extends the classical best subset selection problem by adding additional constraints designed to improve the model quality. These constraints include sparsity-inducing constraints, sign-coherence constraints and linear constraints. The R package holiglm provides functiona...
Saved in:
| Main Authors: | Benjamin Schwendinger, Florian Schwendinger, Laura Vana |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2024-02-01
|
| Series: | Journal of Statistical Software |
| Online Access: | https://www.jstatsoft.org/index.php/jss/article/view/4746 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Designing and implementing SMILE: An AI-driven platform for enhancing clinical decision-making in mental health and neurodivergence management
by: Antonio Pesqueira, et al.
Published: (2025-01-01) -
Relative and absolute intensity accelerometer metrics decipher the effects of age, sex, and occupation on physical activity
by: Fabian Schwendinger, et al.
Published: (2025-03-01) -
Clinical Holistic Medicine: Holistic Adolescent Medicine
by: Søren Ventegodt, et al.
Published: (2004-01-01) -
Clinical Holistic Health: Advanced Tools for Holistic Medicine
by: Søren Ventegodt, et al.
Published: (2006-01-01) -
Clinical Holistic Medicine: Holistic Treatment of Mental Disorders
by: Søren Ventegodt, et al.
Published: (2005-01-01)