R: Holistic Generalized Linear Models

# Holistic Generalized Linear Models

## Documentation for package ‘holiglm’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

holiglm-package | Holistic Generalized Linear Models Package
acoef | Obtain all Active Coefficients
active_coefficients | Obtain all Active Coefficients
agg_binomial | Aggregate Binomial Data
as.OP.hglm_model | Convert to OP
bike | Bike Sharing Dataset
c.hglmc | Generic Functions for 'hglmc' Objects
coef.hglm | Extract Model Coefficients
cov_matrix | Construct Covariance matrix
group_equal | Group Equal Constraint
group_inout | In-Out Constraint
group_sparsity | Group Sparsity Constraint
hglm | Fitting Holistic Generalized Linear Models
hglmc | Generic Functions for 'hglmc' Objects
hglm_fit | Fitting Holistic Generalized Linear Models
hglm_model | Create a HGLM Model
hglm_seq | Fitting Holistic Generalized Linear Models
holiglm | Fitting Holistic Generalized Linear Models
include | Include Constraint
is.hglmc | Generic Functions for 'hglmc' Objects
k_max | Constraint on the Number of Covariates
linear | Linear Constraint
lower | Lower Bound
pairwise_sign_coherence | Pairwise Sign Coherence
predict.hglm | Predict Method for HGLM Fits
rhglm | Random HGLM Data
rho_max | Constraint on the Pairwise Correlation of Covariates
scale_constraint_matrix | Scale Linear Constraint Matrix
sign_coherence | Sign Coherence Constraint
solution.hglm | Extract Solution
update_objective | Update the Model Object
upper | Upper Bound