edited doi

Author: sidiwang

DESCRIPTION

@@ -38,6 +38,6 @@ Biarch: true
 Encoding: UTF-8
 LazyData: true
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.2.3
+RoxygenNote: 7.3.2
 SystemRequirements: JAGS 4.x.y
 Config/testthat/edition: 3

R/BJSM_binary.R

@@ -134,12 +134,12 @@
 #'
 #' @references
 #' Wei, B., Braun, T.M., Tamura, R.N. and Kidwell, K.M., 2018. A Bayesian analysis of small n sequential multiple assignment randomized trials (snSMARTs).
-#' Statistics in medicine, 37(26), pp.3723-3732. URL: [https://doi.org/10.1002/sim.7900](https://doi.org/10.1002/sim.7900)
+#' Statistics in medicine, 37(26), pp.3723-3732. \doi{10.1002/sim.7900}
 #'
-#' Chao, Y.C., Trachtman, H., Gipson, D.S., Spino, C., Braun, T.M. and Kidwell, K.M., 2020. Dynamic treatment regimens in small n, sequential, multiple assignment, randomized trials: An application in focal segmental glomerulosclerosis. Contemporary clinical trials, 92, p.105989. URL: [https://doi.org/10.1016/j.cct.2020.105989](https://doi.org/10.1016/j.cct.2020.105989)
+#' Chao, Y.C., Trachtman, H., Gipson, D.S., Spino, C., Braun, T.M. and Kidwell, K.M., 2020. Dynamic treatment regimens in small n, sequential, multiple assignment, randomized trials: An application in focal segmental glomerulosclerosis. Contemporary clinical trials, 92, p.105989. \doi{10.1016/j.cct.2020.105989}
 #'
 #' Fang, F., Hochstedler, K.A., Tamura, R.N., Braun, T.M. and Kidwell, K.M., 2021. Bayesian methods to compare dose levels with placebo in a small n,
-#' sequential, multiple assignment, randomized trial. Statistics in Medicine, 40(4), pp.963-977. URL: [https://doi.org/10.1002/sim.8813](https://doi.org/10.1002/sim.8813)
+#' sequential, multiple assignment, randomized trial. Statistics in Medicine, 40(4), pp.963-977. \doi{10.1002/sim.8813}
 #'
 #' @seealso
 #' \code{\link{LPJSM_binary}} \cr

R/BJSM_c.R

@@ -66,7 +66,7 @@
 #' print(BJSM_result)
 #' @references
 #' Hartman, H., Tamura, R.N., Schipper, M.J. and Kidwell, K.M., 2021. Design and analysis considerations for utilizing a mapping function in a small sample,
-#' sequential, multiple assignment, randomized trials with continuous outcomes. Statistics in Medicine, 40(2), pp.312-326. URL: [https://doi.org/10.1002/sim.8776](https://doi.org/10.1002/sim.8776)
+#' sequential, multiple assignment, randomized trials with continuous outcomes. Statistics in Medicine, 40(2), pp.312-326. \doi{10.1002/sim.8776}
 #'
 #' @rdname BJSM_c
 #' @export

R/JSRM_binary.R

@@ -31,12 +31,12 @@
 #'
 #' @references
 #' Wei, B., Braun, T.M., Tamura, R.N. and Kidwell, K.M., 2018. A Bayesian analysis of small n sequential multiple assignment randomized trials (snSMARTs).
-#' Statistics in medicine, 37(26), pp.3723-3732. URL: [https://doi.org/10.1002/sim.7900](https://doi.org/10.1002/sim.7900)
+#' Statistics in medicine, 37(26), pp.3723-3732. \doi{10.1002/sim.7900}
 #'
-#' Chao, Y.C., Trachtman, H., Gipson, D.S., Spino, C., Braun, T.M. and Kidwell, K.M., 2020. Dynamic treatment regimens in small n, sequential, multiple assignment, randomized trials: An application in focal segmental glomerulosclerosis. Contemporary clinical trials, 92, p.105989. URL: [https://doi.org/10.1016/j.cct.2020.105989](https://doi.org/10.1016/j.cct.2020.105989)
+#' Chao, Y.C., Trachtman, H., Gipson, D.S., Spino, C., Braun, T.M. and Kidwell, K.M., 2020. Dynamic treatment regimens in small n, sequential, multiple assignment, randomized trials: An application in focal segmental glomerulosclerosis. Contemporary clinical trials, 92, p.105989. \doi{10.1016/j.cct.2020.105989}
 #'
 #' Fang, F., Hochstedler, K.A., Tamura, R.N., Braun, T.M. and Kidwell, K.M., 2021. Bayesian methods to compare dose levels with placebo in a small n,
-#' sequential, multiple assignment, randomized trial. Statistics in Medicine, 40(4), pp.963-977. URL: [https://doi.org/10.1002/sim.8813](https://doi.org/10.1002/sim.8813)
+#' sequential, multiple assignment, randomized trial. Statistics in Medicine, 40(4), pp.963-977. \doi{10.1002/sim.8813}
 #'
 #' @seealso
 #' \code{\link{BJSM_binary}} \cr

R/group_seq.R

@@ -115,7 +115,7 @@
 #' @references
 #' Chao, Y.C., Braun, T.M., Tamura, R.N. and Kidwell, K.M., 2020. A Bayesian group
 #' sequential small n sequential multiple‐assignment randomized trial. Journal of
-#' the Royal Statistical Society: Series C (Applied Statistics), 69(3), pp.663-680. URL: [https://doi.org/10.1111/rssc.1246](https://doi.org/10.1111/rssc.1246)
+#' the Royal Statistical Society: Series C (Applied Statistics), 69(3), pp.663-680. \doi{10.1111/rssc.12406}
 #'
 # #' @seealso
 # #' \code{\link{sim_group_seq}}

R/sample_size.R

@@ -56,11 +56,11 @@
 #'
 #' @references
 #' Wei, B., Braun, T.M., Tamura, R.N. and Kidwell, K.M., 2018. A Bayesian analysis of small n sequential multiple assignment randomized trials (snSMARTs).
-#' Statistics in medicine, 37(26), pp.3723-3732. URL: [https://doi.org/10.1002/sim.7900](https://doi.org/10.1002/sim.7900)
+#' Statistics in medicine, 37(26), pp.3723-3732. \doi{10.1002/sim.7900}
 #'
 #' Wei, B., Braun, T.M., Tamura, R.N. and Kidwell, K., 2020. Sample size determination
 #' for Bayesian analysis of small n sequential, multiple assignment, randomized trials
-#' (snSMARTs) with three agents. Journal of Biopharmaceutical Statistics, 30(6), pp.1109-1120. URL: [https://doi.org/10.1080/10543406.2020.1815032](https://doi.org/10.1080/10543406.2020.1815032)
+#' (snSMARTs) with three agents. Journal of Biopharmaceutical Statistics, 30(6), pp.1109-1120. \doi{10.1080/10543406.2020.1815032}
 #'
 #' @seealso
 # #' \code{\link{JSRM_binary}} \cr