UC Xaringan Template

In Rbearcat: University of Cincinnati Themes and Utilities for Econometrics and Data Science

options(htmltools.dir.version = FALSE)

# load packages
library(Rbearcat)
library(tidyverse)
library(lubridate)
library(haven)
library(stringr)
library(here)
library(knitr)
library(janitor)
library(scales)
library(viridis)
library(RColorBrewer)
library(kableExtra)
library(flextable)
# include additional packages here (if needed)
# library(DT)
# library(ggrepel)

# set default Rmd options
Rbearcat::bcat_setup_rmd()

# update figure setting from util_setup_rmd
knitr::opts_chunk$set(out.width = "50%", fig.retina = 3)

# set default UC geoms
Rbearcat::set_UC_geoms()

class: title-slide, left, top

r rmarkdown::metadata$title

r rmarkdown::metadata$author

r format(Sys.Date(), '%B %e, %Y')

---

Xaringan basics

• add new slides with ---

• use pauses with --, like so

--

• while in a presentation, use ? to see available navigation options

---

Slide with content in columns

.pull-left[ A numbered list.

1. item 1
2. item 2
3. item 3 ]

.pull-right[ A list:

• item 1
• item 2
• sub-item 1
• sub-item 2.2 ]

---

class: inverse, center, middle

Section Separator

---

Figures generated by R:

# using function from Rbearcat package
Rbearcat::bcat_plt_line(df = economics,
                     x = date,
                     y = unemploy)

---

A nicely formatted table:

Rbearcat::bcat_fmt_style_table(iris[1:10,])

---

Some math

A vector of observations $y$ having $n$ components is assumed to be a realization of a random variable $Y$ whose components are independently distributed with means $\mu$.

In the original formulation of GLMs, the assumed distribution of $Y$ is a member of an exponential family which have a probability density function of form:

$$f(y_i) = exp{\frac{y_i\theta_i - b(\theta_i)}{a_i(\phi)} + c(y_i, \phi)}$$

where $\theta_i$ and $\phi$ are parameters and $a(\cdot)$, $b(\cdot)$, and $c(\cdot)$ are known functions.

Rbearcat documentation built on March 21, 2026, 5:07 p.m.