radiant (version 0.1.95)

summary.glm_reg: Summary method for the glm_reg function

Description

Summary method for the glm_reg function

Usage

"summary"(object, glm_sum_check = "", glm_conf_level = 0.95, glm_test_var = "", ...)

Arguments

object

Return value from glm_reg

glm_sum_check

Optional output or estimation parameters. "rsme" to show the root mean squared error. "sumsquares" to show the sum of squares table. "vif" to show multicollinearity diagnostics. "confint" to show coefficient confidence interval estimates.

glm_conf_level

Confidence level to use for coefficient and odds confidence intervals (.95 is the default)

glm_test_var

Variables to evaluate in model comparison (i.e., a competing models Chi-squared test)

...

further arguments passed to or from other methods

Details

See http://vnijs.github.io/radiant/quant/glm_reg.html for an example in Radiant

See Also

glm_reg to generate the results

plot.glm_reg to plot the results

predict.glm_reg to generate predictions

plot.glm_predict to plot prediction output

Examples

result <- glm_reg("titanic", "survived", "pclass", glm_levels = "Yes")
summary(result, glm_test_var = "pclass")
res <- glm_reg("titanic", "survived", c("pclass","sex"), glm_int_var="pclass:sex", glm_levels="Yes")
summary(res, glm_sum_check = c("vif","confint","odds"))