Print chi-squared p values with knitr for summ.glm

Closes #138

NEWS.md

@@ -1,11 +1,14 @@
 # jtools 2.2.3.9999
 
-Bug fix:
+Bug fixes:
 * `predict_merMod()` was miscalculating predictions under a specific set of
 conditions: When the model was fit with `lme4::glmer()`, the link was not
 identity, standard errors were simultaneously being calculated, and the 
 user included random effects. This error has been corrected 
 ([#144](https://github.com/jacob-long/jtools/issues/144))
+* When printing `summ.glm()` results with `knitr`, the *p* value for the 
+omnibus chi-squared test is now included in the model statistics, like it 
+already is when using the function in the console. ([#138](https://github.com/jacob-long/jtools/issues/138)
 
 Enhancement:
 

R/summ.R

@@ -964,10 +964,12 @@ knit_print.summ.glm <- function(x, options = NULL, ...) {
       chi <- "chi\u00B2("
     }
     stats <- data.frame(stat = c(paste0(chi, x$chisq$df,  ")"),
+                                  "p",
                                  "Pseudo-R\u00B2 (Cragg-Uhler)",
                                  "Pseudo-R\u00B2 (McFadden)",
                                  "AIC", "BIC"),
                         value = c(num_print(x$chisq$chi, x$digits),
+                                  num_print(x$chisq$p, x$digits),
                                   num_print(x$rsq, digits = x$digits),
                                   num_print(x$rsqmc, digits = x$digits),
                                   num_print(x$aic, x$digits),