model_coefficient_table: Hierarchical regression: Coefficient table output

In AutoModel: Automated Hierarchical Multiple Regression with Assumptions Checking

Description

Hierarchical regression: Coefficient table output

Usage

model_coefficient_table(models)

Arguments

models

A list of lm model objects. A set of model objects created by create_model_object.

Details

Creates table output to summarize model coefficients for all models in a hierarchical regression analysis.

Examples

freeny_model_formulas <- create_formula_objects("y", c("lag.quarterly.revenue")
, c("price.index"))
freeny_models <- create_model_objects(freeny_model_formulas,
dataset = freeny)
model_coefficient_table(freeny_models)

Example output

   Model                  term estimate std.error statistic p.value sig
 Model 1           (Intercept)  0.04169   0.10138    0.4112  0.6833    
 Model 1 lag.quarterly.revenue  0.99827   0.01092   91.4351  0.0000 ***
 Model 2           (Intercept)  2.18577   1.47236    1.4845  0.1464    
 Model 2 lag.quarterly.revenue  0.89122   0.07412   12.0240  0.0000 ***
 Model 2           price.index -0.25592   0.17534   -1.4596  0.1531    

AutoModel documentation built on May 1, 2019, 9:14 p.m.