In PADeCI/demogmx: Demographic data for Mexico

options(prompt = 'R> ', continue = '+ ')
library(rmarkdown)

Introduction

This template demonstrates some of the basic LaTeX that you need to know to create a JSS article.

Code formatting

In general, don't use Markdown, but use the more precise LaTeX commands instead:

• \proglang{Java}
• \pkg{plyr}

One exception is inline code, which can be written inside a pair of backticks (i.e., using the Markdown syntax).

If you want to use LaTeX commands in headers, you need to provide a short-title attribute. You can also provide a custom identifier if necessary. See the header of Section \ref{r-code} for example.

\proglang{R} code {short-title="R code" #r-code}

Can be inserted in regular R markdown blocks.

x <- 1:10
x

Features specific to \pkg{rticles} {short-title="Features specific to rticles"}

• Adding short titles to section headers is a feature specific to \pkg{rticles} (implemented via a Pandoc Lua filter). This feature is currently not supported by Pandoc and we will update this template if it is officially supported in the future.
• Using the \AND syntax in the author field to add authors on a new line. This is a specific to the rticles::jss_article format.

\begin{small} \begin{equation}\label{eq:si_hp_ode} \begin{split} \frac{dP_{1, j}}{dt} & = b_{j}(t) - \left(d_{1, j}(t)+ \eta_{1, j}(t) + \theta_{1, j}(t) + \mu_{1, j}(t) + \mu_{1, j}^{H}(t)\right) P_{1, j}, \hspace{0.2cm} j = male, female\ \frac{dP_{i, j}}{dt} & = d_{i-1, j}(t)P_{i-1, j} - \left(d_{i, j}(t) + \eta_{i, j}(t) + \theta_{i, j}(t) + \mu_{i, j}(t) + \mu_{i, j}^{H}(t)\right) P_{i, j}, \hspace{0.2cm} i=2,\ldots,n \hspace{0.1cm} ; \hspace{0.1cm} j = male, female \ \frac{dDOC_{i, j}}{dt} & = \mu_{i, j}(t) P_{i, j}, \hspace{0.2cm} i = 1,\ldots, n \hspace{0.2cm} and \hspace{0.2cm} j = male, female \ %\text{ for all } i = 1, \ldots, n,\ \frac{dDH_{i, j}}{dt} & = \mu^{H}{i, j}(t) P{i, j}, \hspace{0.2cm} i = 1, \ldots, n \hspace{0.2cm} and \hspace{0.2cm} j = male, female %\text{ for all } i = 1, \ldots, n,\ \end{split} \end{equation} \end{small}

\begin{small} \begin{equation}\label{eq:si_hp_ode} \begin{split} \frac{dP_{1, j}}{dt} & = b_{j}(t) - \left(d_{1, j}(t)+ \eta_{1, j}(t) + \theta_{1, j}(t) + \mu_{1, j}(t) + \mu_{1, j}^{H}(t)\right) P_{1, j} \ \frac{dP_{i, j}}{dt} & = d_{i-1, j}(t)P_{i-1, j} - \left(d_{i, j}(t) + \eta_{i, j}(t) + \theta_{i, j}(t) + \mu_{i, j}(t) + \mu_{i, j}^{H}(t)\right) P_{1, j} \ \frac{dDOC_{i, j}}{dt} & = \mu_{i, j}(t) P_{1, j} \ \frac{dDH_{i, j}}{dt} & = \mu^{H}{i, j}(t) P{1, j} \ \end{split} \end{equation} \end{small}

where $P_{i, j}$ is the population in age group $i$ and sex group $j$, where $DOC_{i, j}$ is the number of deaths from other causes in age group $i$ and sex group $j$, $DH_{i, j}$ is the number of homicides in age group $i$ and sex group $j$, $d_{i, j}(t)$ is the rate of aging from age group $i$ to age group $i+1$, $\mu_{i, j}(t)$ is the background mortality for age group $i$ and sex group $j$ in year $t$ and $\mu_{i, j}^{H}(t)$ is the homicide rate for age group $i$ and sex group $j$ in year $t$, $\eta_{i, j}$ represents migration rate for age group $i$ and sex group $j$, while $\theta_{i, j}$ is the immigration rate for age group $i$ and sex group $j$.

$$\frac{dP_{1, j}}{dt} = births_j + (immigration - emmigration - aging_{i, j} - background\ mort)P_{1,j}$$

$$\frac{dP_{i, j}}{dt} = (aging_{i-1, j})P_{(i-1), j} + (immigration - emmigration - aging_{i,j} - background\ mort)P_{i,j}$$

PADeCI/demogmx documentation built on Jan. 27, 2024, 6:43 a.m.