diff --git a/DESCRIPTION b/DESCRIPTION
index 71c7a8b..236f57f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,5 +1,5 @@
 Package: faoutlier
-Version: 0.7.6
+Version: 0.7.7
 Type: Package
 Title: Influential Case Detection Methods for Factor Analysis and Structural
     Equation Models
@@ -29,4 +29,4 @@ LazyData: yes
 Repository: github
 License: GPL (>= 2)
 URL: https://github.com/philchalmers/faoutlier
-RoxygenNote: 7.2.1
+RoxygenNote: 7.2.3
diff --git a/R/faoutlier.R b/R/faoutlier.R
index c640c77..387dce3 100644
--- a/R/faoutlier.R
+++ b/R/faoutlier.R
@@ -7,16 +7,17 @@
 #'
 #' @name faoutlier
 #' @docType package
+#' @aliases faoutlier-package
 #' @title Influential case detection methods for FA and SEM
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
 #' @references
 #'
-#' Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting 
+#' Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting
 #'   Influential Cases in Exploratory and Confirmatory Factor Analysis.
 #'   \emph{Applied Psychological Measurement, 39}, 573-574. \doi{10.1177/0146621615597894}
 #'
-#' Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data 
-#' screening and assumption testing for exploratory and confirmatory factor analysis. 
+#' Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data
+#' screening and assumption testing for exploratory and confirmatory factor analysis.
 #'  \emph{Frontiers in Psychology, 3}, 1-21. \doi{10.3389/fpsyg.2012.00055}
 #' @import stats MASS parallel lattice mvtnorm graphics sem
 #' @importFrom lavaan logLik
@@ -35,12 +36,12 @@ NULL
 #' @name holzinger
 #' @references
 #'
-#' Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting 
+#' Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting
 #'   Influential Cases in Exploratory and Confirmatory Factor Analysis.
 #'   \emph{Applied Psychological Measurement, 39}, 573-574. \doi{10.1177/0146621615597894}
 #'
-#' Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data 
-#' screening and assumption testing for exploratory and confirmatory factor analysis. 
+#' Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data
+#' screening and assumption testing for exploratory and confirmatory factor analysis.
 #'  \emph{Frontiers in Psychology, 3}, 1-21. \doi{10.3389/fpsyg.2012.00055}
 #' @docType data
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
@@ -58,12 +59,12 @@ NULL
 #' @name holzinger.outlier
 #' @references
 #'
-#' Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting 
+#' Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting
 #'   Influential Cases in Exploratory and Confirmatory Factor Analysis.
 #'   \emph{Applied Psychological Measurement, 39}, 573-574. \doi{10.1177/0146621615597894}
 #'
-#' Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data 
-#' screening and assumption testing for exploratory and confirmatory factor analysis. 
+#' Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data
+#' screening and assumption testing for exploratory and confirmatory factor analysis.
 #'  \emph{Frontiers in Psychology, 3}, 1-21. \doi{10.3389/fpsyg.2012.00055}
 #' @docType data
 #' @author Phil Chalmers \email{rphilip.chalmers@@gmail.com}
diff --git a/man/faoutlier.Rd b/man/faoutlier.Rd
index 8aaefe0..033c4cc 100644
--- a/man/faoutlier.Rd
+++ b/man/faoutlier.Rd
@@ -3,6 +3,7 @@
 \docType{package}
 \name{faoutlier}
 \alias{faoutlier}
+\alias{faoutlier-package}
 \title{Influential case detection methods for FA and SEM}
 \description{
 Influential case detection methods for factor analysis and SEM
@@ -14,12 +15,12 @@ graphical methods to help detect and summarize influential
 cases that can affect exploratory and confirmatory factor analyses.
 }
 \references{
-Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting 
+Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting
   Influential Cases in Exploratory and Confirmatory Factor Analysis.
   \emph{Applied Psychological Measurement, 39}, 573-574. \doi{10.1177/0146621615597894}
 
-Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data 
-screening and assumption testing for exploratory and confirmatory factor analysis. 
+Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data
+screening and assumption testing for exploratory and confirmatory factor analysis.
  \emph{Frontiers in Psychology, 3}, 1-21. \doi{10.3389/fpsyg.2012.00055}
 }
 \author{
diff --git a/man/holzinger.Rd b/man/holzinger.Rd
index 72745f9..f21d60f 100644
--- a/man/holzinger.Rd
+++ b/man/holzinger.Rd
@@ -9,12 +9,12 @@ A sample of 100 simulated cases from the infamous Holzinger dataset
 using 9 variables.
 }
 \references{
-Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting 
+Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting
   Influential Cases in Exploratory and Confirmatory Factor Analysis.
   \emph{Applied Psychological Measurement, 39}, 573-574. \doi{10.1177/0146621615597894}
 
-Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data 
-screening and assumption testing for exploratory and confirmatory factor analysis. 
+Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data
+screening and assumption testing for exploratory and confirmatory factor analysis.
  \emph{Frontiers in Psychology, 3}, 1-21. \doi{10.3389/fpsyg.2012.00055}
 }
 \author{
diff --git a/man/holzinger.outlier.Rd b/man/holzinger.outlier.Rd
index 527f7b8..5790c27 100644
--- a/man/holzinger.outlier.Rd
+++ b/man/holzinger.outlier.Rd
@@ -11,12 +11,12 @@ by adding 2 to five of the observed variables (odd-numbered items) and subtracti
 the other four observed variables (even-numbered items).
 }
 \references{
-Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting 
+Chalmers, R. P. & Flora, D. B. (2015). faoutlier: An R Package for Detecting
   Influential Cases in Exploratory and Confirmatory Factor Analysis.
   \emph{Applied Psychological Measurement, 39}, 573-574. \doi{10.1177/0146621615597894}
 
-Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data 
-screening and assumption testing for exploratory and confirmatory factor analysis. 
+Flora, D. B., LaBrish, C. & Chalmers, R. P. (2012). Old and new ideas for data
+screening and assumption testing for exploratory and confirmatory factor analysis.
  \emph{Frontiers in Psychology, 3}, 1-21. \doi{10.3389/fpsyg.2012.00055}
 }
 \author{