Skip to content
GitLab
Menu
Projects
Groups
Snippets
/
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
Menu
Open sidebar
UMR-ASTRE
mapMCDA
Commits
f6fe1517
Commit
f6fe1517
authored
Jan 25, 2019
by
Facundo Muñoz
®️
Browse files
fix doc: unsupported latex markup
parent
f518e2af
Changes
2
Hide whitespace changes
Inline
Side-by-side
R/network.R
View file @
f6fe1517
...
...
@@ -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
...
...
man/epidemic_threshold.Rd
View file @
f6fe1517
...
...
@@ -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
...
...
Write
Preview
Supports
Markdown
0%
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment