docs: fix url links

Author: aravindhebbali

.Rbuildignore

@@ -13,3 +13,4 @@
 ^hex_blorr\.png$
 ^cran-comments\.md$
 ^\.github$
+^Meta$

.gitignore

@@ -3,3 +3,5 @@
 .RData
 .Ruserdata
 inst/doc
+/doc/
+/Meta/

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: blorr
 Type: Package
 Title: Tools for Developing Binary Logistic Regression Models
-Version: 0.3.0.9000
+Version: 0.3.1
 Authors@R: person("Aravind", "Hebbali", email = "hebbali.aravind@gmail.com", role = c("aut", "cre"), 
     comment = c(ORCID = "0000-0001-9220-9669"))
 Description: Tools designed to make it easier for beginner and intermediate users to build and validate 
@@ -29,7 +29,7 @@ Suggests:
     vdiffr,
     xplorerr
 License: MIT + file LICENSE
-URL: URL: https://blorr.rsquaredacademy.com/, https://github.com/rsquaredacademy/blorr
+URL: https://blorr.rsquaredacademy.com/, https://github.com/rsquaredacademy/blorr
 BugReports: https://github.com/rsquaredacademy/blorr/issues
 VignetteBuilder: knitr
 Encoding: UTF-8

R/blr-gains-table.R

@@ -128,8 +128,6 @@ 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
-#' \doi{doi.org/10.1198/tast.2009.08210}
-#'
 #' \url{https://pubmed.ncbi.nlm.nih.gov/843576/}
 #'
 #' @examples

R/blr-lorenz-curve.R

@@ -16,8 +16,6 @@
 #' 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.
 #'
-#' \doi{doi.org/10.2753/REE1540-496X470605}
-#'
 #' @examples
 #' model <- glm(honcomp ~ female + read + science, data = hsb2,
 #' family = binomial(link = 'logit'))

R/blr-pairs.R

@@ -6,11 +6,6 @@
 #'
 #' @return A tibble.
 #'
-#' @references
-#' \doi{doi.org/10.1080/10485259808832744}
-#'
-#' \doi{doi.org/10.1177/1536867X0600600302}
-#'
 #' @examples
 #' model <- glm(honcomp ~ female + read + science, data = hsb2,
 #' family = binomial(link = 'logit'))

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 [here](https://stats.oarc.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