diff --git a/DESCRIPTION b/DESCRIPTION
index 94effaf..708ad31 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,31 +1,26 @@
 Package: OneSampleMR
-Title: One Sample Mendelian Randomization and Instrumental Variable Analyses
-Version: 0.1.0
-Authors@R: 
-    c(person(given = "Tom",
-             family = "Palmer",
-             role = c("aut", "cre"),
-             email = "remlapmot@hotmail.com",
-             comment = c(ORCID = "0000-0003-4655-4511")),
-      person(given = "Wes",
-             family = "Spiller",
-             role = "aut",
-             email = "wes.spiller@bristol.ac.uk",
-             comment = c(ORCID = "0000-0002-8169-5531")),
-      person(given = "Eleanor",
-             family = "Sanderson",
-             role = "aut",
-             email = "eleanor.sanderson@bristol.ac.uk",
-             comment = c(ORCID = "0000-0001-5188-5775")))
-Description: Useful functions for one-sample (individual level data) Mendelian randomization and 
-	instrumental variable analyses. The package includes implementations of; the Sanderson and 
-	Windmeijer (2016) <doi:10.1016/j.jeconom.2015.06.004> conditional F-statistic, the 
-	multiplicative structural mean model Hernán and Robins (2006) 
-	<doi:10.1097/01.ede.0000222409.00878.37>, and two-stage predictor substitution and two-stage 
-	residual inclusion estimators explained by Terza et al. (2008) 
-	<doi:10.1016/j.jhealeco.2007.09.009>.
+Title: One Sample Mendelian Randomization and Instrumental Variable
+    Analyses
+Version: 0.1.1
+Authors@R: c(
+    person("Tom", "Palmer", , "remlapmot@hotmail.com", role = c("aut", "cre"),
+           comment = c(ORCID = "0000-0003-4655-4511")),
+    person("Wes", "Spiller", , "wes.spiller@bristol.ac.uk", role = "aut",
+           comment = c(ORCID = "0000-0002-8169-5531")),
+    person("Eleanor", "Sanderson", , "eleanor.sanderson@bristol.ac.uk", role = "aut",
+           comment = c(ORCID = "0000-0001-5188-5775"))
+  )
+Description: Useful functions for one-sample (individual level data)
+    Mendelian randomization and instrumental variable analyses. The
+    package includes implementations of; the Sanderson and Windmeijer
+    (2016) <doi:10.1016/j.jeconom.2015.06.004> conditional F-statistic,
+    the multiplicative structural mean model Hernán and Robins (2006)
+    <doi:10.1097/01.ede.0000222409.00878.37>, and two-stage predictor
+    substitution and two-stage residual inclusion estimators explained by
+    Terza et al. (2008) <doi:10.1016/j.jhealeco.2007.09.009>.
 License: GPL (>= 3)
-URL: https://github.com/remlapmot/OneSampleMR
+URL: https://github.com/remlapmot/OneSampleMR,
+    https://remlapmot.github.io/OneSampleMR/
 BugReports: https://github.com/remlapmot/OneSampleMR/issues/
 Depends: 
     R (>= 3.6.0)
diff --git a/NEWS.md b/NEWS.md
index a416eca..97d67f0 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,7 @@
+# OneSampleMR 0.1.1
+
+* Fix an issue causing an R CMD check note in R 4.2.0
+
 # OneSampleMR 0.1.0
 
 * Initial submission to CRAN
diff --git a/R/fsw.R b/R/fsw.R
index 874cc53..23bb309 100644
--- a/R/fsw.R
+++ b/R/fsw.R
@@ -92,7 +92,7 @@ fsw.ivreg <- function(object) {
                           "ivreg(y ~ log(x1) + x2 | z1 + z2 + z3)",
                           "please create dat$logx1 = log(x1) in your data.frame",
                           "and fit ivreg(y ~ logx1 + x2 | z1 + z2 + z3).")
-    if (class(condmod) == "try-error") stop(condmoderrmsg)
+    if (inherits(condmod, "try-error")) stop(condmoderrmsg)
     condres <- condmod$residuals
     if (nexogenous > 0) {
       resfor <- as.formula(paste("condres", "~", instrplus, "+", exogplus))