added emmeans version number to depends (#45)

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: afex
 Type: Package
 Title: Analysis of Factorial Experiments
-Depends: R (>= 3.1.0), lme4 (>= 1.1-8), emmeans
+Depends: R (>= 3.1.0), lme4 (>= 1.1-8), emmeans (>= 1.1.2)
 Suggests: coin, xtable, parallel, plyr, optimx, nloptr, knitr, rmarkdown, R.rsp,
          lattice, latticeExtra, multcomp, testthat, mlmRev, dplyr, tidyr,
          dfoptim, Matrix, psych, ggplot2, MEMSS, effects, carData

R/afex-package.R

@@ -5,7 +5,7 @@
 #' Type: \tab Package\cr
 #' Version: \tab 0.21-1\cr
 #' Date: \tab 2018-06-24\cr
-#' Depends: \tab R (>= 3.1.0), lme4 (>= 1.1-8), emmeans\cr
+#' Depends: \tab R (>= 3.1.0), lme4 (>= 1.1-8), emmeans (>= 1.1.2)\cr
 #' Encoding: \tab UTF-8\cr
 #' License: \tab GPL (>=2)\cr
 #' URL: \tab http://afex.singmann.science/, https://github.com/singmann/afex\cr

dev.R

@@ -55,7 +55,7 @@ roxy.package(
         person(given=\"Russell\", family=\"Lenth\", role=c(\"ctb\")),
         person(given=\"Rune\", family=\"Haubo Bojesen Christensen\", role=c(\"ctb\"))
     )",
-		Depends = "R (>= 3.1.0), lme4 (>= 1.1-8), emmeans",
+		Depends = "R (>= 3.1.0), lme4 (>= 1.1-8), emmeans (>= 1.1.2)",
 		Suggests = "coin, xtable, parallel, plyr, optimx, nloptr, knitr, rmarkdown, R.rsp, lattice, latticeExtra, multcomp, testthat, mlmRev, dplyr, tidyr, dfoptim, Matrix, psych, ggplot2, MEMSS, effects, carData",
 		Imports = "pbkrtest (>= 0.4-1), lmerTest (>= 3.0-0), car, reshape2, stats, methods",
 		Description = "Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed between-within (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3 sums of squares as default (imitating commercial statistical software).",