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ChristianGoueguel · Apr 19, 2024 · af79a0b · af79a0b
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diff --git a/README.Rmd b/README.Rmd
@@ -30,7 +30,7 @@ MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/
 [![codecov](https://codecov.io/gh/ChristianGoueguel/ConfidenceEllipse/graph/badge.svg?token=JAGMXN2F70)](https://app.codecov.io/gh/ChristianGoueguel/ConfidenceEllipse)
 <!-- badges: end -->
 
-The `ConfidenceEllipse` package computes the coordinate points of confidence ellipses and ellipsoids for a given bivariate and trivariate normal data. The size of the ellipse and ellipsoid is determined by the confidence level, and the shape is determined by the covariance matrix. The confidence level is usually chosen to be 95% or 99%, and the resulting confidence region contains the points that are expected to lie within the multivariate distribution.
+The `ConfidenceEllipse` package computes the coordinate points of confidence ellipses and ellipsoids for a given bivariate and trivariate dataset. The size of the ellipse and ellipsoid is determined by the confidence level, and the shape is determined by the covariance matrix. The confidence level is usually chosen to be 95% or 99%, and the resulting confidence region contains the points that are expected to lie within the multivariate distribution.
 
 ## Installation
 
@@ -74,7 +74,7 @@ glass %>% glimpse()
 ```
 
 ### Confidence Region
-#### Ellipse
+#### Classical and robust confidence ellipse
 
 First, the `confidence_ellipse` function is used to compute coordinate points of the confidence ellipse and then the ellipse is plotted on a two-dimensional plot `x` and `y` of the data. Points that lie outside the ellipse are considered to be outliers, while points that lie within the ellipse are considered to be part of the underlying distribution with the specified confidence level `conf_level`.
 

diff --git a/README.md b/README.md
@@ -17,7 +17,7 @@ MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/
 
 The `ConfidenceEllipse` package computes the coordinate points of
 confidence ellipses and ellipsoids for a given bivariate and trivariate
-normal data. The size of the ellipse and ellipsoid is determined by the
+dataset. The size of the ellipse and ellipsoid is determined by the
 confidence level, and the shape is determined by the covariance matrix.
 The confidence level is usually chosen to be 95% or 99%, and the
 resulting confidence region contains the points that are expected to lie
@@ -82,7 +82,7 @@ glass %>% glimpse()
 
 ### Confidence Region
 
-#### Ellipse
+#### Classical and robust confidence ellipse
 
 First, the `confidence_ellipse` function is used to compute coordinate
 points of the confidence ellipse and then the ellipse is plotted on a

diff --git a/cran-comments.md b/cran-comments.md
@@ -1,10 +1,9 @@
 ## R CMD check results
+Change made:
+(1) Added references in the DESCRIPTION file
+(2) Added more details about the package functionality and implemented methods in the Description text.
 
-NOTE: The Description field should not start with the package name,
-'This package' or similar....Fixed
-NOTE: Found the following (possibly) invalid URLs...Fixed
-NOTE: Rd line widths...Fixed
-
-0 errors | 0 warnings | 0 note
+R CMD check results:
+0 errors | 0 warnings | 0 notes
 
 * This is a resubmission.
diff --git a/vignettes/confidence-ellipse.Rmd b/vignettes/confidence-ellipse.Rmd
@@ -14,7 +14,7 @@ knitr::opts_chunk$set(
 )
 ```
 
-A confidence ellipse is a graphical representation that shows the variability or uncertainty in estimates of the mean values of two normally distributed variables in a bivariate dataset. It is an extension of the concept of a confidence interval, which is used for a single variable. The ellipse is centered at the point representing the sample mean values of the two variables. Its size and shape are determined by the chosen confidence level (e.g., 95%) and the covariance matrix of the variables.
+Confidence ellipses are extension of the concept of a confidence interval, which is used for a single variable. The ellipse is centered at the point representing the sample mean values of the two variables. Its size and shape are determined by the chosen confidence level (e.g., 95%) and the covariance matrix.
 
 ```{r message=FALSE, warning=FALSE}
 library(magrittr)