redo

R/est.incidence.R

@@ -3,7 +3,7 @@
 #' This function models seroincidence using maximum likelihood estimation; that is, it finds the value of the seroincidence parameter which maximizes the likelihood (i.e., joint probability) of the data.
 #' @inheritParams log_likelihood
 #' @inheritParams stats::nlm
-#' @param pop_data [data.frame()] with cross-sectional serology data per antibody and age, and additional columns
+#' @param pop_data [data.frame] with cross-sectional serology data per antibody and age, and additional columns
 #' @param lambda_start starting guess for incidence rate, in years/event.
 #' @param antigen_isos Character vector with one or more antibody names. Values must match `pop_data`
 #' @param build_graph whether to graph the log-likelihood function across a range of incidence rates (lambda values)