version 1.0.0

DESCRIPTION

@@ -1,16 +1,16 @@
 Package: BUCSS
 Type: Package
 Title: Bias and Uncertainty Corrected Sample Size
-Version: 0.0.2
-Author: Samantha F. Anderson <sander10@nd.edu>, Ken Kelley <kkelley@nd.edu>
+Version: 1.0.0
+Author: Samantha F. Anderson <samantha.f.anderson@asu.edu>, Ken Kelley <kkelley@nd.edu>
 Maintainer: Ken Kelley <kkelley@nd.edu>
 Description: Implements a method of correcting for publication bias and
-    uncertainty when planning sample sizes in a future study from an original study. See Anderson, Kelley, & Maxwell (submitted, revised and resubmitted). 
+    uncertainty when planning sample sizes in a future study from an original study. See Anderson, Kelley, & Maxwell (2017; Psychological Science, 28, 1547-1562). 
 License: GPL (>= 3)
 Imports: stats
 LazyData: TRUE
 RoxygenNote: 6.0.1
 NeedsCompilation: no
-Packaged: 2017-04-10 13:50:17 UTC; kkelley
+Packaged: 2018-06-21 19:53:44 UTC; kkelley
 Repository: CRAN
-Date/Publication: 2017-04-10 14:06:06 UTC
+Date/Publication: 2018-06-21 20:04:33 UTC

MD5

@@ -1,20 +1,20 @@
-db0061a08882139d2e3be284f9f54291 *DESCRIPTION
+b977c55772e4fbf95c94c10bdbd238c9 *DESCRIPTION
 005fc3ec5b9c4584168196044b80255a *NAMESPACE
-4e2b58ac5826d53cd9383ad65ab0a09c *R/BUCSS.R
-5a7f59fcb96e10ee6aac555e8cf90544 *R/ss.power.ba.R
-3f08f7972781ac880504350348fa74c0 *R/ss.power.ba.general.R
-5aa6ebdaaa264bbe477ab50368cd82cf *R/ss.power.dt.r
-76361ed7a5d1cd8b0e2d3cfb91cdae19 *R/ss.power.it.R
-c93aee92f7cfb3fd094600474b23b497 *R/ss.power.spa.general.R
-a5e50695e4e513aab5eb467ac14d54e2 *R/ss.power.spa.r
-0186b4e883caf1d5dc587fe3fa80493d *R/ss.power.wa.general.R
-45d677aeeeb1e3948a0b2c7d37d93b92 *R/ss.power.wa.r
-e496ea96bf103f5a383c962cbe133be0 *man/BUCSS-package.Rd
-62230cc9329df5ab2a4b50964cdb9367 *man/ss.power.ba.Rd
-322ec500565a63750d81e3b7a1523319 *man/ss.power.ba.general.Rd
-49e9bddcaae1977547bc34c0e53c4e99 *man/ss.power.dt.Rd
-cc248eaee1f913eb4f9bd4efafeadc71 *man/ss.power.it.Rd
-81bc6fe4f41e2401b29a410a35c3256b *man/ss.power.spa.Rd
-265ba62fbc77043a3e3391dbe1cd5aee *man/ss.power.spa.general.Rd
-6a8a6e4eb54cff1638433e4245e8ee60 *man/ss.power.wa.Rd
-87ec5dc2ba92db3c727d1e7a428eb1fa *man/ss.power.wa.general.Rd
+8a9937f685d7345acfbfec1d3b1f74f7 *R/BUCSS.R
+db339df25c058b5fddb7a8f731e72222 *R/ss.power.ba.R
+2ea19760f5b63fa695fb0f85ee7ddb2b *R/ss.power.ba.general.R
+f98691c5204ea4e57a03182bd731fc55 *R/ss.power.dt.r
+dd3254a83b209a16d4399f156ec39fc4 *R/ss.power.it.R
+9a480e76c6c6c08674dcf024c0cc4680 *R/ss.power.spa.general.R
+6af3745b21f2d5543f4fa3aeab1f46b2 *R/ss.power.spa.r
+6222830cf00155003c2d5c74e89d24cd *R/ss.power.wa.general.R
+f52673c6d17e469087525c7e2b0025d5 *R/ss.power.wa.r
+93cf05ef3e8dff64813d96c1abc2eab8 *man/BUCSS-package.Rd
+c0c1bdedc6848dca225b9ac5e8052b18 *man/ss.power.ba.Rd
+d56a8543ce4912bd4531d056947b9e40 *man/ss.power.ba.general.Rd
+0cebc7360bd39b5653b37747bc00829b *man/ss.power.dt.Rd
+440347209fe278f61b6b91c58d2fdb6d *man/ss.power.it.Rd
+f968a996f1e5368382a68d94ef862b3a *man/ss.power.spa.Rd
+9f21efc22660284ad96afc90e93af6ea *man/ss.power.spa.general.Rd
+23cf5a51abefd5721268e24392f1ecb1 *man/ss.power.wa.Rd
+aaa4155bf9d90ac2f2067c1f0cc8b5af *man/ss.power.wa.general.Rd

R/BUCSS.R

@@ -4,11 +4,11 @@
 #'
 #' Note that \url{https://designingexperiments.com} uses Shiny R apps that implement, via a web interface, the functions contained in BUCSS.
 #'
-#' @references Anderson, S. & Kelley, K., Maxwell, S. E. (revised and resubmited). Sample size planning for more accurate statistical power: A method correcting sample effect sizes for uncertainty and publication bias. \emph{Journal}, X--X.
+#' @references Anderson, S. & Kelley, K., Maxwell, S. E. (2017). Sample size planning for more accurate statistical power: A method correcting sample effect sizes for uncertainty and publication bias. \emph{Psychological Science}, \emph{28}, 1547--1562.
 #'
-#' See the web page that accompanies the book here: \url{https://designingexperiments.com/}.
+#' See \url{https://designingexperiments.com/} for Shiny R implementation of the functions.
 #'
-#' For suggested updates, please email Samantha Anderson \email{kkelley@nd.edu} or Ken Kelley \email{kkelley@nd.edu}.
-#' @author Samantha Anderson \email{Samantha.F.Anderson.350@nd.edu} and Ken Kelley \email{kkelley@nd.edu}
+#' For suggested updates, please email Samantha Anderson \email{samantha.f.anderson@asu.edu} or Ken Kelley \email{kkelley@nd.edu}.
+#' @author Samantha Anderson \email{samantha.f.anderson@asu.edu} and Ken Kelley \email{kkelley@nd.edu}
 #'
 "_PACKAGE"

R/ss.power.ba.R

@@ -113,17 +113,18 @@
 #' ss.power.ba(F.observed=5, N=120, levels.A=2, levels.B=3,  effect="factor.B",
 #' alpha.prior=.05, alpha.planned=.05, assurance=.80, power=.80, step=.001)
 #'
-#' @author Samantha F. Anderson \email{sander10@nd.edu},
+#' @author Samantha F. Anderson \email{samantha.f.anderson@asu.edu},
 #' Ken Kelley \email{kkelley@@nd.edu}
 #'
-#' @references Anderson, S. F., & Maxwell, S. E. (in press).
+#' @references Anderson, S. F., & Maxwell, S. E. (2017).
 #'   Addressing the 'replication crisis': Using original studies to design
 #'   replication studies with appropriate statistical power. \emph{Multivariate
-#'   Behavioral Research}.
+#'   Behavioral Research, 52,} 305-322.
 #'
-#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (under review). Sample size
+#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample size
 #'   planning for more accurate statistical power: A method correcting sample 
-#'   effect sizes for uncertainty and publication bias.
+#'   effect sizes for uncertainty and publication bias. \emph{Psychological 
+#'   Science, 28,} 1547-1562.
 #'
 #'   Taylor, D. J., & Muller, K. E. (1996). Bias in linear model power and
 #'   sample size calculation due to estimating noncentrality.

R/ss.power.ba.general.R

@@ -114,17 +114,18 @@
 #' df.denominator=117, alpha.prior=.05, alpha.planned=.05, assurance=.80,
 #' power=.80, step=.001)
 #'
-#' @author Samantha F. Anderson \email{sander10@nd.edu},
+#' @author Samantha F. Anderson \email{samantha.f.anderson@asu.edu},
 #' Ken Kelley \email{kkelley@@nd.edu}
 #'
-#' @references Anderson, S. F., & Maxwell, S. E. (in press).
+#' @references Anderson, S. F., & Maxwell, S. E. (2017).
 #'   Addressing the 'replication crisis': Using original studies to design
 #'   replication studies with appropriate statistical power. \emph{Multivariate
-#'   Behavioral Research}.
+#'   Behavioral Research, 52,} 305-322.
 #'
-#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (under review). Sample size
+#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample size
 #'   planning for more accurate statistical power: A method correcting sample 
-#'   effect sizes for uncertainty and publication bias.
+#'   effect sizes for uncertainty and publication bias. \emph{Psychological 
+#'   Science, 28,} 1547-1562.
 #'
 #'   Taylor, D. J., & Muller, K. E. (1996). Bias in linear model power and
 #'   sample size calculation due to estimating noncentrality.

R/ss.power.dt.r

@@ -94,17 +94,18 @@
 #' ss.power.dt(t.observed=3, N=40, alpha.prior=.05, alpha.planned=.05,
 #' assurance=.80, power=.80, step=.001)
 #'
-#' @author Samantha F. Anderson \email{sander10@nd.edu},
+#' @author Samantha F. Anderson \email{samantha.f.anderson@asu.edu},
 #' Ken Kelley \email{kkelley@@nd.edu}
 #'
-#' @references Anderson, S. F., & Maxwell, S. E. (in press).
+#' @references Anderson, S. F., & Maxwell, S. E. (2017).
 #'   Addressing the 'replication crisis': Using original studies to design
 #'   replication studies with appropriate statistical power. \emph{Multivariate
-#'   Behavioral Research}.
+#'   Behavioral Research, 52,} 305-322.
 #'
-#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (under review). Sample size
+#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample size
 #'   planning for more accurate statistical power: A method correcting sample 
-#'   effect sizes for uncertainty and publication bias.
+#'   effect sizes for uncertainty and publication bias. \emph{Psychological 
+#'   Science, 28,} 1547-1562.
 #'
 #'   Taylor, D. J., & Muller, K. E. (1996). Bias in linear model power and
 #'   sample size calculation due to estimating noncentrality.

R/ss.power.it.R

@@ -114,17 +114,18 @@
 #' ss.power.it(t.observed=3, n=20, alpha.prior=.05, alpha.planned=.05,
 #' assurance=.80, power=.80, step=.001)
 #'
-#' @author Samantha F. Anderson \email{sander10@nd.edu},
+#' @author Samantha F. Anderson \email{samantha.f.anderson@asu.edu},
 #' Ken Kelley \email{kkelley@@nd.edu}
 #'
-#' @references Anderson, S. F., & Maxwell, S. E. (in press).
+#' @references Anderson, S. F., & Maxwell, S. E. (2017).
 #'   Addressing the 'replication crisis': Using original studies to design
 #'   replication studies with appropriate statistical power. \emph{Multivariate
-#'   Behavioral Research}.
+#'   Behavioral Research, 52,} 305-322.
 #'
-#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (under review). Sample size
+#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample size
 #'   planning for more accurate statistical power: A method correcting sample 
-#'   effect sizes for uncertainty and publication bias.
+#'   effect sizes for uncertainty and publication bias. \emph{Psychological 
+#'   Science, 28,} 1547-1562.
 #'
 #'   Taylor, D. J., & Muller, K. E. (1996). Bias in linear model power and
 #'   sample size calculation due to estimating noncentrality.

R/ss.power.spa.general.R

@@ -122,17 +122,18 @@
 #' effect="between.only", df.num.within=3, alpha.prior=.05, alpha.planned=.05,
 #' assurance=.80, power=.80, step=.001)
 #'
-#' @author Samantha F. Anderson \email{sander10@nd.edu},
+#' @author Samantha F. Anderson \email{samantha.f.anderson@asu.edu},
 #' Ken Kelley \email{kkelley@@nd.edu}
 #'
-#' @references Anderson, S. F., & Maxwell, S. E. (in press).
+#' @references Anderson, S. F., & Maxwell, S. E. (2017).
 #'   Addressing the 'replication crisis': Using original studies to design
 #'   replication studies with appropriate statistical power. \emph{Multivariate
-#'   Behavioral Research}.
+#'   Behavioral Research, 52,} 305-322.
 #'
-#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (under review). Sample size
+#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample size
 #'   planning for more accurate statistical power: A method correcting sample 
-#'   effect sizes for uncertainty and publication bias.
+#'   effect sizes for uncertainty and publication bias. \emph{Psychological 
+#'   Science, 28,} 1547-1562.
 #'
 #'   Taylor, D. J., & Muller, K. E. (1996). Bias in linear model power and
 #'   sample size calculation due to estimating noncentrality.

R/ss.power.spa.r

@@ -112,17 +112,18 @@
 #' effect="within", alpha.prior=.05, alpha.planned=.05, assurance=.80,
 #' power=.80, step=.001)
 #'
-#' @author Samantha F. Anderson \email{sander10@nd.edu},
+#' @author Samantha F. Anderson \email{samantha.f.anderson@asu.edu},
 #' Ken Kelley \email{kkelley@@nd.edu}
 #'
-#' @references Anderson, S. F., & Maxwell, S. E. (in press).
+#' @references Anderson, S. F., & Maxwell, S. E. (2017).
 #'   Addressing the 'replication crisis': Using original studies to design
 #'   replication studies with appropriate statistical power. \emph{Multivariate
-#'   Behavioral Research}.
+#'   Behavioral Research, 52,} 305-322.
 #'
-#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (under review). Sample size
+#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample size
 #'   planning for more accurate statistical power: A method correcting sample 
-#'   effect sizes for uncertainty and publication bias.
+#'   effect sizes for uncertainty and publication bias. \emph{Psychological 
+#'   Science, 28,} 1547-1562.
 #'
 #'   Taylor, D. J., & Muller, K. E. (1996). Bias in linear model power and
 #'   sample size calculation due to estimating noncentrality.

R/ss.power.wa.general.R

@@ -100,17 +100,18 @@
 #' @examples ss.power.wa.general(F.observed=6.5, N=80,  df.numerator=1,
 #' alpha.prior=.05, alpha.planned=.05, assurance=.50, power=.80, step=.001)
 #'
-#' @author Samantha F. Anderson \email{sander10@nd.edu},
+#' @author Samantha F. Anderson \email{samantha.f.anderson@asu.edu},
 #' Ken Kelley \email{kkelley@@nd.edu}
 #'
-#' @references Anderson, S. F., & Maxwell, S. E. (in press).
+#' @references Anderson, S. F., & Maxwell, S. E. (2017).
 #'   Addressing the 'replication crisis': Using original studies to design
 #'   replication studies with appropriate statistical power. \emph{Multivariate
-#'   Behavioral Research}.
+#'   Behavioral Research, 52,} 305-322.
 #'
-#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (under review). Sample size
+#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample size
 #'   planning for more accurate statistical power: A method correcting sample 
-#'   effect sizes for uncertainty and publication bias.
+#'   effect sizes for uncertainty and publication bias. \emph{Psychological 
+#'   Science, 28,} 1547-1562.
 #'
 #'   Taylor, D. J., & Muller, K. E. (1996). Bias in linear model power and
 #'   sample size calculation due to estimating noncentrality.

R/ss.power.wa.r

@@ -104,17 +104,18 @@
 #' ss.power.wa(F.observed=5, N=60, levels.A=2, levels.B=3,  effect="factor.B",
 #' alpha.prior=.05, alpha.planned=.05, assurance=.80, power=.80, step=.001)
 #'
-#' @author Samantha F. Anderson \email{sander10@nd.edu},
+#' @author Samantha F. Anderson \email{samantha.f.anderson@asu.edu},
 #' Ken Kelley \email{kkelley@@nd.edu}
 #'
-#' @references Anderson, S. F., & Maxwell, S. E. (in press).
+#' @references Anderson, S. F., & Maxwell, S. E. (2017).
 #'   Addressing the 'replication crisis': Using original studies to design
 #'   replication studies with appropriate statistical power. \emph{Multivariate
-#'   Behavioral Research}.
+#'   Behavioral Research, 52,} 305-322.
 #'
-#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (under review). Sample size
+#'   Anderson, S. F., Kelley, K., & Maxwell, S. E. (2017). Sample size
 #'   planning for more accurate statistical power: A method correcting sample 
-#'   effect sizes for uncertainty and publication bias.
+#'   effect sizes for uncertainty and publication bias. \emph{Psychological 
+#'   Science, 28,} 1547-1562.
 #'
 #'   Taylor, D. J., & Muller, K. E. (1996). Bias in linear model power and
 #'   sample size calculation due to estimating noncentrality.