pdf_natbib

---
title: "Getting familiar with Rmarkdown PDF"
subtitle: | 
    | Examples for Towards Data Science
    | Focussing on Metadata
    | Reviewed by: Towards Data Science Team
author: | 
    | Arimitra Maiti
    | Author-2
thanks: | 
    This is the section for acknoledgement with a limit of 150 words
abstract: "This is the section for abstract with a limit of 150 words.\\par \\textbf{Keywords:} Keyword-1, Keyword-2, Keyword-3, Keyword-4"
date: "`r format(Sys.time(), '%d %B, %Y')`"
geometry: "left=2.5cm,right=2.5cm,top=2cm,bottom=2cm"
fontfamily: mathpazo
output:
  pdf_document:
    keep_tex: true
    latex_engine: pdflatex
    fig_caption: yes
    highlight: haddock
    number_sections: yes
    toc: yes
    toc_depth: 2
    citation_package: natbib
header-includes: 
- \usepackage{graphicx}
- \usepackage{float}
- \usepackage{amsmath}
- \nocite{*}

bibliography: example.bib
biblio-style: apalike
natbiboptions: round
link-citations: true

---
```{r setup, include=FALSE}
knitr::opts_chunk$set(warning = FALSE, message = FALSE)
```
\pagebreak

## Introduction
This is an article for Towards Data Science. The study wants to refer [@R-rmarkdown] for helping in the learning curve. The remaining references are shown in the References section.