fix typo

NEWS.md

@@ -2,9 +2,9 @@
 
 ### Minor changes
 
-The `gamma` function has been renamed to `geostan::gamma2` to avoid conflict with `base::gamma`.
+The `gamma` function (which is available to help set prior distributions) has been renamed to `geostan::gamma2` to avoid conflict with `base::gamma`. 
 
-Some code for `geostan::stan_car` was cleaned up to avoid sending duplicate variables to the Stan model when a spatial ME (measurement error) model was used: https://github.com/ConnorDonegan/geostan/issues/17. This should not change any functionality or results. 
+Some code for `geostan::stan_car` was cleaned up to avoid sending duplicate variables to the Stan model when a spatial ME (measurement error) model was used: https://github.com/ConnorDonegan/geostan/issues/17. This should not change any functionality and there is no reason to suspect that results were ever impacted by the duplicate variables. 
 
 # geostan 0.5.2
 

R/stan_car.R

@@ -113,7 +113,7 @@
 #' For \code{family = poisson()}, the model is specified as:
 #' \deqn{y \sim Poisson(e^{O + \lambda})}
 #' \deqn{\lambda \sim Gauss(\mu, (I - \rho C)^{-1} \boldsymbol M).}
-#' If the raw outcome consists of a rate \eqn{\frac{y}{p}} with observed counts \eqn{y} and denominator {p} (often this will be the size of the population at risk), then the offset term \eqn{O=log(p)} is the log of the denominator.
+#' If the raw outcome consists of a rate \eqn{\frac{y}{p}} with observed counts \eqn{y} and denominator \eqn{p} (often this will be the size of the population at risk), then the offset term \eqn{O=log(p)} is the log of the denominator.
 #'
 #' This is often written (equivalently) as:
 #' \deqn{y \sim Poisson(e^{O + \mu + \phi})}

R/stan_sar.R

@@ -110,7 +110,7 @@
 #' \deqn{\lambda \sim Gauss(\mu, \Sigma)}
 #' \deqn{\Sigma = \sigma^2 (I - \rho W)^{-1}(I - \rho W')^{-1}.}
 #' 
-#' If the raw outcome consists of a rate \eqn{\frac{y}{p}} with observed counts \eqn{y} and denominator {p} (often this will be the size of the population at risk), then the offset term \eqn{O=log(p)} is the log of the denominator.
+#' If the raw outcome consists of a rate \eqn{\frac{y}{p}} with observed counts \eqn{y} and denominator \eqn{p} (often this will be the size of the population at risk), then the offset term \eqn{O=log(p)} is the log of the denominator.
 #' 
 #' This is often written (equivalently) as:
 #'