diff --git a/R/susiF.R b/R/susiF.R
index 171c110..73b3626 100644
--- a/R/susiF.R
+++ b/R/susiF.R
@@ -99,26 +99,61 @@
 #'
 #' @importFrom stats var
 #' 
+#' @return A \code{"susiF"} object with some or all of the following
+#' elements:
+#' 
+#' \item{alpha}{List of length L containing the posterior inclusion
+#'   probabilities for each effect.}
+#' 
+#' \item{pip}{Vector of length J, containing the posterior inclusion
+#'   probability for each covariate.}
+#' 
+#' \item{cs}{List of length L. Each element is the credible set of
+#' the lth effect.}
+#' 
+#' \item{purity}{List of length L. Each element is the purity of the
+#'   lth effect.}
+#' 
+#' \item{fitted_func}{List of length L. Each element is a vector of
+#'   length J containing the Lth estimated single effect.}
+#' 
+#' \item{cred_band}{List of length L. Each element is a list of
+#'   length J, containing the credible band of the Lth effect at each
+#'   position}
+#' 
+#' \item{sigma2}{The estimated residual variance.}
+#' 
+#' \item{lBF}{List of length L containing the log-Bayes factor for
+#'   each effect.}
+#' 
+#' \item{ind_fitted_func}{Matrix of the individual estimated
+#'   genotype effect.}
+#' 
+#' \item{outing_grid}{The grid on which the effects are estimated. Ssee
+#'   the introductory vignette for more details.}
 #' 
-#' @return  A \code{"susiF"} object with some or all of the following elements:
-#' \item{alpha}{a list of length L  containing the posterior inclusion probabilities for each effect.}
-#' \item{pip}{a vector of length J, containing the posterior inclusion probability of each covariate}
-#' \item{cs}{a list of length L, each element is the credible set of the lth effect  }
-#' \item{purity}{a list of length L, each element is the purity of the lth effect  }
-#' \item{fitted_func}{a list of length L, each element is a list of length J, containing the estimated effect of the Lth effect at each position}
-#' \item{cred_band}{a list of length L, each element is a list of length J, containing the credible band of the Lth effect at each position}
-#' \item{sigma2 }{The estimated residual variance}
-#' \item{lBF}{a list of length L  containing the log  Bayes factor for each effect.}
-#' \item{ ind_fitted_func}{a matrix of the individual estimated genotype effect}
-#' \item{outin_grid}{The grid on which the effects are estimated (see vignette introduction for more details)}
 #' \item{runtime}{runtime of the algorithm}
-#' \item{G_prior}{a list of of ash objects containning the prior mixture component}
-#' \item{est_pi}{a list  of length L, each element contains the estimated  prior mixture  weights for each effect}
-#' \item{est_sd}{the estimated prior mixture for each effect}
-#' \item{ELBO}{the ELBO value at each iteration of the algorithm}
-#' \item{fitted_wc}{a list of length L, each element is a list of length J, containing the conditional wavelet coefficients first moment for Lth effect. Note that this is only for internal use in the IBSS and
-#'        the results in  fitted_func  will corresponds to this wavelet coefficient if  \code{post_processing} is set to \code{none}, not recommended. }
-#' \item{fitted_wc2}{a list of length L, each element is a list of length J, containing the conditional wavelet coefficients second-moment for the Lth effect.}
+#' 
+#' \item{G_prior}{A list of of ash objects containing the prior
+#'   mixture component.}
+#' 
+#' \item{est_pi}{List of length L. Each element contains the
+#'   estimated prior mixture weights for each effect.}
+#' 
+#' \item{est_sd}{Ehe estimated prior mixture for each effect.}
+#' 
+#' \item{ELBO}{The ELBO value at each iteration of the algorithm.}
+#' 
+#' \item{fitted_wc}{List of length L. Each element is a matrix
+#'   containing the conditional wavelet coefficients (first moment) for
+#'   a single effect. For internal use only. The results in
+#'   \code{fitted_func} will correspond to this wavelet coefficient if
+#'   \code{post_processing = "none"} (which is not recommended).}
+#' 
+#' \item{fitted_wc2}{List of length L. Each element is a matrix
+#'   containing the conditional wavelet coefficients (second-moment) for
+#'   a single effect.}
+#' 
 #' @export
 #'
 #' @examples
diff --git a/man/susiF.Rd b/man/susiF.Rd
index 3336a4d..4661176 100644
--- a/man/susiF.Rd
+++ b/man/susiF.Rd
@@ -129,25 +129,60 @@ The Bayes factor from Valen E Johnson JRSSB 2005 tends to have better coverage i
 \item{e}{threshold value is used to avoid computing posteriors that have low alpha values. Set it to 0 to compute the entire posterior. default value is 0.001}
 }
 \value{
-A \code{"susiF"} object with some or all of the following elements:
-\item{alpha}{a list of length L  containing the posterior inclusion probabilities for each effect.}
-\item{pip}{a vector of length J, containing the posterior inclusion probability of each covariate}
-\item{cs}{a list of length L, each element is the credible set of the lth effect  }
-\item{purity}{a list of length L, each element is the purity of the lth effect  }
-\item{fitted_func}{a list of length L, each element is a list of length J, containing the estimated effect of the Lth effect at each position}
-\item{cred_band}{a list of length L, each element is a list of length J, containing the credible band of the Lth effect at each position}
-\item{sigma2 }{The estimated residual variance}
-\item{lBF}{a list of length L  containing the log  Bayes factor for each effect.}
-\item{ ind_fitted_func}{a matrix of the individual estimated genotype effect}
-\item{outin_grid}{The grid on which the effects are estimated (see vignette introduction for more details)}
+A \code{"susiF"} object with some or all of the following
+elements:
+
+\item{alpha}{List of length L containing the posterior inclusion
+  probabilities for each effect.}
+
+\item{pip}{Vector of length J, containing the posterior inclusion
+  probability for each covariate.}
+
+\item{cs}{List of length L. Each element is the credible set of
+the lth effect.}
+
+\item{purity}{List of length L. Each element is the purity of the
+  lth effect.}
+
+\item{fitted_func}{List of length L. Each element is a vector of
+  length J containing the Lth estimated single effect.}
+
+\item{cred_band}{List of length L. Each element is a list of
+  length J, containing the credible band of the Lth effect at each
+  position}
+
+\item{sigma2}{The estimated residual variance.}
+
+\item{lBF}{List of length L containing the log-Bayes factor for
+  each effect.}
+
+\item{ind_fitted_func}{Matrix of the individual estimated
+  genotype effect.}
+
+\item{outing_grid}{The grid on which the effects are estimated. Ssee
+  the introductory vignette for more details.}
+
 \item{runtime}{runtime of the algorithm}
-\item{G_prior}{a list of of ash objects containning the prior mixture component}
-\item{est_pi}{a list  of length L, each element contains the estimated  prior mixture  weights for each effect}
-\item{est_sd}{the estimated prior mixture for each effect}
-\item{ELBO}{the ELBO value at each iteration of the algorithm}
-\item{fitted_wc}{a list of length L, each element is a list of length J, containing the conditional wavelet coefficients first moment for Lth effect. Note that this is only for internal use in the IBSS and
-       the results in  fitted_func  will corresponds to this wavelet coefficient if  \code{post_processing} is set to \code{none}, not recommended. }
-\item{fitted_wc2}{a list of length L, each element is a list of length J, containing the conditional wavelet coefficients second-moment for the Lth effect.}
+
+\item{G_prior}{A list of of ash objects containing the prior
+  mixture component.}
+
+\item{est_pi}{List of length L. Each element contains the
+  estimated prior mixture weights for each effect.}
+
+\item{est_sd}{Ehe estimated prior mixture for each effect.}
+
+\item{ELBO}{The ELBO value at each iteration of the algorithm.}
+
+\item{fitted_wc}{List of length L. Each element is a matrix
+  containing the conditional wavelet coefficients (first moment) for
+  a single effect. For internal use only. The results in
+  \code{fitted_func} will correspond to this wavelet coefficient if
+  \code{post_processing = "none"} (which is not recommended).}
+
+\item{fitted_wc2}{List of length L. Each element is a matrix
+  containing the conditional wavelet coefficients (second-moment) for
+  a single effect.}
 }
 \description{
 Implementation of the SuSiF method