Updated documentation of flnl.grad.R

DESCRIPTION

@@ -18,7 +18,7 @@ Description: Animal abundance estimation via conventional, multiple covariate
     fitting is performed via maximum likelihood. Also included are diagnostics
     and plotting for fitted detection functions. Abundance estimation is via a
     Horvitz-Thompson-like estimator.
-Version: 3.0.0.9000
+Version: 3.0.0.9001
 URL: https://github.com/DistanceDevelopment/mrds/
 BugReports: https://github.com/DistanceDevelopment/mrds/issues
 Depends:

NEWS.md

@@ -1,3 +1,9 @@
+# mrds 3.0.1
+
+Bug Fixes
+
+* Fixed formatting issue in flnl.grad help
+
 # mrds 3.0.0
 
 New features

R/flnl.grad.R

@@ -1,11 +1,11 @@
-#' Gradients of negative log likelihood function
-#'
+#' Gradient of the negative log likelihood function
+#' 
 #' This function derives the gradients of the negative log likelihood function, 
 #' with respect to all parameters. It is based on the theory presented in 
 #' Introduction to Distance Sampling (2001) and Distance Sampling: Methods and
 #' Applications (2015). It is not meant to be called by users of the \code{mrds}
 #' and \code{Distance} packages directly but rather by the gradient-based 
-#' solver. This solver is use when our distance sampling model is for 
+#' solver. This solver is used when our distance sampling model is for 
 #' single-observer data coming from either line or point transect and only when  
 #' the detection function contains an adjustment series but no covariates. It is 
 #' implement for the following key + adjustment series combinations for the