Fixed bullet list

README.Rmd

@@ -64,6 +64,7 @@ scoreci(x1 = 5, n1 = 56, x2 = 0, n2 = 29)
 ratesci contains the following functions:
 
 For comparisons of rates (contrasts RD, RR and OR):
+
 * `scoreci()`: for score-based confidence intervals including SCAS, Miettinen-Nurminen and Gart-Nam, with or without stratification.
 * `scasci()`: wrapper function to compute SCAS intervals.
 * `tdasci()`: wrapper function to compute TDAS stratified intervals incorporating random effects.
@@ -72,6 +73,7 @@ For comparisons of rates (contrasts RD, RR and OR):
 * `pairbinci()`: for paired binomial data, including asymptotic score and MOVER methods for RD and RR, and transformed binomial intervals for OR.
 
 For single binomial or Poisson rates:
+
 * `scaspci()`: non-iterative SCAS method for a single rate. For stratified calculations use `scoreci()` with contrast = "p".
 * `jeffreysci()`: wrapper function to compute Jeffreys interval for a single rate (with option to incorporate prior information).
 * `rateci()`: wrapper function for selected methods for a single rate, including SCAS, Jeffreys, midp and Clopper-Pearson/Garwood.

ReadMe.md

@@ -109,19 +109,24 @@ scoreci(x1 = 5, n1 = 56, x2 = 0, n2 = 29)
 
 ratesci contains the following functions:
 
-For comparisons of rates (contrasts RD, RR and OR): \* `scoreci()`: for
-score-based confidence intervals including SCAS, Miettinen-Nurminen and
-Gart-Nam, with or without stratification. \* `scasci()`: wrapper
-function to compute SCAS intervals. \* `tdasci()`: wrapper function to
-compute TDAS stratified intervals incorporating random effects. \*
-`moverci()`: for the MOVER methods, including Newcombe and MOVER-J. \*
-`moverbci()`: wrapper function to compute MOVER-B intervals. \*
-`pairbinci()`: for paired binomial data, including asymptotic score and
-MOVER methods for RD and RR, and transformed binomial intervals for OR.
-
-For single binomial or Poisson rates: \* `scaspci()`: non-iterative SCAS
-method for a single rate. For stratified calculations use `scoreci()`
-with contrast = “p”. \* `jeffreysci()`: wrapper function to compute
-Jeffreys interval for a single rate (with option to incorporate prior
-information). \* `rateci()`: wrapper function for selected methods for a
-single rate, including SCAS, Jeffreys, midp and Clopper-Pearson/Garwood.
+For comparisons of rates (contrasts RD, RR and OR):
+
+- `scoreci()`: for score-based confidence intervals including SCAS,
+  Miettinen-Nurminen and Gart-Nam, with or without stratification.
+- `scasci()`: wrapper function to compute SCAS intervals.
+- `tdasci()`: wrapper function to compute TDAS stratified intervals
+  incorporating random effects.
+- `moverci()`: for the MOVER methods, including Newcombe and MOVER-J.
+- `moverbci()`: wrapper function to compute MOVER-B intervals.
+- `pairbinci()`: for paired binomial data, including asymptotic score
+  and MOVER methods for RD and RR, and transformed binomial intervals
+  for OR.
+
+For single binomial or Poisson rates:
+
+- `scaspci()`: non-iterative SCAS method for a single rate. For
+  stratified calculations use `scoreci()` with contrast = “p”.
+- `jeffreysci()`: wrapper function to compute Jeffreys interval for a
+  single rate (with option to incorporate prior information).
+- `rateci()`: wrapper function for selected methods for a single rate,
+  including SCAS, Jeffreys, midp and Clopper-Pearson/Garwood.