### 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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