Merge pull request #163 from rsetienne/develop

Documentation

R/DAISIE_loglik_integrate.R

@@ -145,11 +145,11 @@ cum_rho <- function(par_upper_bound, DAISIE_dist_pars) {
 #' @description computes the logarithm of the integral of exp(logfun) from 0
 #' to Inf under the following assumptions:
 #' \itemize{
-#'  \item{"exp(logfun)"}{has a single, sharply peaked maximum}
-#'  \item{"exp(logfun)"}{is increasing to the left of the peak and
+#'  \item{"exp(logfun)" has a single, sharply peaked maximum}
+#'  \item{"exp(logfun)" is increasing to the left of the peak and
 #'  decreasing to the right of the peak}
-#'  \item{"exp(logfun)"}{can be zero or positive at zero}
-#'  \item{"exp(logfun)"}{tends to zero at infinity}
+#'  \item{"exp(logfun)" can be zero or positive at zero}
+#'  \item{"exp(logfun)" tends to zero at infinity}
 #' }
 #' @param logfun the logarithm of the function to integrate
 #' @param xx the initial set of points on which to evaluate the function
@@ -159,9 +159,9 @@ cum_rho <- function(par_upper_bound, DAISIE_dist_pars) {
 #' among the xx
 #' @return the result of the integration
 #' @references Haegeman, B. & R.S. Etienne (2017). A general sampling formula
-#' for community structure data. Methods in Ecology & Evolution. In press.
+#' for community structure data. Methods in Ecology & Evolution 8: 1506-1519.
+#' https://doi.org/10.1111/2041-210X.12807
 #' @keywords internal
-#'
 integral_peak <- function(logfun,
                           xx = seq(-20, 20, 2),
                           xcutoff = 2,