Commit f6fe1517 authored by Facundo Muñoz's avatar Facundo Muñoz ®️
Browse files

fix doc: unsupported latex markup

parent f518e2af
......@@ -225,10 +225,10 @@ setMethod(
#' context of a network. It thus quantifies the potential for
#' transmission of an infection throughout the contact network. It is
#' computed in terms of the incoming-outgoing rates from the network's
#' nodes: \deqn{R_0 = \beta \frac{\hat{k_\text{in}
#' k_\text{out}}}{\hat{k_\text{in}}},}{R₀ = \beta〈k_in*k_out〉/〈k_in〉,}
#' nodes: \deqn{R_0 = \beta \frac{\hat{k_\mathrm{in}
#' k_\mathrm{out}}}{\hat{k_\mathrm{in}}},}{R₀ = \beta〈k_in*k_out〉/〈k_in〉,}
#' where \eqn{\beta} is the transmission coefficient among animals,
#' \eqn{k_\text{in/out}}{k_in/out} are the in/out-degrees of a node
#' \eqn{k_\mathrm{in/out}}{k_in/out} are the in/out-degrees of a node
#' and the \eqn{\hat{\cdot}}{〈·〉} symbol represents the average value
#' across all nodes in the graph.
#'
......@@ -236,7 +236,7 @@ setMethod(
#' highly infectious epidemy with high animal-prevalence on nodes, as
#' it assumes that any contact is potentially infectious.
#'
#' In the weighted formulation, \eqn{k_\text{in/out}}{k_in/out} are
#' In the weighted formulation, \eqn{k_\mathrm{in/out}}{k_in/out} are
#' the weight values for the incoming/outgoing edges in each node. It
#' is more appropriate for low-prevalence diseases, where the
#' transmission probability is assumed proportional to the number of
......
......@@ -33,10 +33,10 @@ the Basic Reproduction Number \eqn{R_0}{R₀} of an epidemy to the
context of a network. It thus quantifies the potential for
transmission of an infection throughout the contact network. It is
computed in terms of the incoming-outgoing rates from the network's
nodes: \deqn{R_0 = \beta \frac{\hat{k_\text{in}
k_\text{out}}}{\hat{k_\text{in}}},}{R₀ = \beta〈k_in*k_out〉/〈k_in〉,}
nodes: \deqn{R_0 = \beta \frac{\hat{k_\mathrm{in}
k_\mathrm{out}}}{\hat{k_\mathrm{in}}},}{R₀ = \beta〈k_in*k_out〉/〈k_in〉,}
where \eqn{\beta} is the transmission coefficient among animals,
\eqn{k_\text{in/out}}{k_in/out} are the in/out-degrees of a node
\eqn{k_\mathrm{in/out}}{k_in/out} are the in/out-degrees of a node
and the \eqn{\hat{\cdot}}{〈·〉} symbol represents the average value
across all nodes in the graph.
......@@ -44,7 +44,7 @@ The unweighted value computed above is most appropriate for a
highly infectious epidemy with high animal-prevalence on nodes, as
it assumes that any contact is potentially infectious.
In the weighted formulation, \eqn{k_\text{in/out}}{k_in/out} are
In the weighted formulation, \eqn{k_\mathrm{in/out}}{k_in/out} are
the weight values for the incoming/outgoing edges in each node. It
is more appropriate for low-prevalence diseases, where the
transmission probability is assumed proportional to the number of
......
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