docs: fix broken links

Author: aravindhebbali

R/blr-data-hsb.R

@@ -19,6 +19,6 @@
 #'   \item{honcomp}{1 if write > 60, else 0}
 #' }
 #'
-#' @source \url{http://www.ats.ucla.edu/stat/spss/whatstat/whatstat.htm}
+#' @source \url{https://www.openintro.org/data/index.php?data=hsb}
 #'
-"hsb2"
+"hsb2"

R/blr-gains-table.R

@@ -128,9 +128,9 @@ plot.blr_gains_table <- function(x, title = "Lift Chart", xaxis_title = "% Popul
 #' @param print_plot logical; if \code{TRUE}, prints the plot else returns a plot object.
 #'
 #' @references
-#' \url{https://doi.org/10.1198/tast.2009.08210}
+#' \doi{doi.org/10.1198/tast.2009.08210}
 #'
-#' \url{https://www.ncbi.nlm.nih.gov/pubmed/843576}
+#' \url{https://pubmed.ncbi.nlm.nih.gov/843576/}
 #'
 #' @examples
 #' model <- glm(honcomp ~ female + read + science, data = hsb2,

R/blr-lorenz-curve.R

@@ -16,7 +16,7 @@
 #' Müller M, Rönz B (2000): Credit Scoring using Semiparametric Methods. In: Franke J, Härdle W, Stahl G (Eds.):
 #' Measuring Risk in Complex Stochastic Systems. New York, Springer-Verlag.
 #'
-#' \url{https://doi.org/10.2753/REE1540-496X470605}
+#' \doi{doi.org/10.2753/REE1540-496X470605}
 #'
 #' @examples
 #' model <- glm(honcomp ~ female + read + science, data = hsb2,

R/blr-pairs.R

@@ -7,9 +7,9 @@
 #' @return A tibble.
 #'
 #' @references
-#' \url{https://doi.org/10.1080/10485259808832744}
+#' \doi{doi.org/10.1080/10485259808832744}
 #'
-#' \url{https://doi.org/10.1177/1536867X0600600302}
+#' \doi{doi.org/10.1177/1536867X0600600302}
 #'
 #' @examples
 #' model <- glm(honcomp ~ female + read + science, data = hsb2,

README.Rmd

@@ -20,7 +20,7 @@ options(tibble.width = Inf)
 <!-- badges: start -->
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/blorr)](https://cran.r-project.org/package=blorr) 
 [![R-CMD-check](https://github.com/rsquaredacademy/blorr/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/rsquaredacademy/blorr/actions/workflows/R-CMD-check.yaml)
-[![Coverage status](https://codecov.io/gh/rsquaredacademy/blorr/branch/master/graph/badge.svg)](https://codecov.io/github/rsquaredacademy/blorr?branch=master)  
+[![Coverage status](https://app.codecov.io/gh/rsquaredacademy/blorr/branch/master/graph/badge.svg)](https://app.codecov.io/github/rsquaredacademy/blorr?branch=master)  
 
 <!-- badges: end -->
 
@@ -144,6 +144,3 @@ If you encounter a bug, please file a minimal reproducible example using
 [reprex](https://reprex.tidyverse.org/index.html) on github. For questions and 
 clarifications, use [StackOverflow](https://stackoverflow.com/).
 
-## Code of Conduct
-
-Please note that this project is released with a [Contributor Code of Conduct](CONDUCT.md). By participating in this project you agree to abide by its terms.

README.md

@@ -10,7 +10,7 @@
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/blorr)](https://cran.r-project.org/package=blorr)
 [![R-CMD-check](https://github.com/rsquaredacademy/blorr/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/rsquaredacademy/blorr/actions/workflows/R-CMD-check.yaml)
 [![Coverage
-status](https://codecov.io/gh/rsquaredacademy/blorr/branch/master/graph/badge.svg)](https://codecov.io/github/rsquaredacademy/blorr?branch=master)
+status](https://app.codecov.io/gh/rsquaredacademy/blorr/branch/master/graph/badge.svg)](https://app.codecov.io/github/rsquaredacademy/blorr?branch=master)
 
 <!-- badges: end -->
 
@@ -271,9 +271,3 @@ If you encounter a bug, please file a minimal reproducible example using
 [reprex](https://reprex.tidyverse.org/index.html) on github. For
 questions and clarifications, use
 [StackOverflow](https://stackoverflow.com/).
-
-## Code of Conduct
-
-Please note that this project is released with a [Contributor Code of
-Conduct](CONDUCT.md). By participating in this project you agree to
-abide by its terms.

man/blorr.Rd

@@ -180,7 +180,7 @@ blr_regress(y ~  age + duration + previous + housing + default +
 Model fit statistics are available to assess how well the model fits the data 
 and to compare two different models.The output includes likelihood ratio test, 
 AIC, BIC and a host of pseudo r-squared measures. You can read more about 
-pseudo r-squared at https://stats.idre.ucla.edu/other/mult-pkg/faq/general/faq-what-are-pseudo-r-squareds/.
+pseudo r-squared [here](https://stats.oarc.ucla.edu/other/mult-pkg/faq/general/faq-what-are-pseudo-r-squareds).
 
 #### Single Model