diff options
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/cran.scm | 63 | ||||
| -rw-r--r-- | gnu/packages/statistics.scm | 65 |
2 files changed, 63 insertions, 65 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 8c4d2bd8818..99d6464e6a4 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -5588,6 +5588,69 @@ prototype-based, rather than class-based object oriented ideas.") understand the language at a deeper level.") (license license:gpl2))) +(define-public r-puniform + (package + (name "r-puniform") + (version "0.2.7") + (source + (origin + (method url-fetch) + (uri (cran-uri "puniform" version)) + (sha256 + (base32 + "15q5wlcps7387rjz7p1f5kifg1fl5yxxy7gjx6fvspvqwjkjbs4z")))) + (properties `((upstream-name . "puniform"))) + (build-system r-build-system) + (propagated-inputs + (list r-adgoftest r-metafor r-numderiv r-rcpp r-rcpparmadillo)) + (home-page + "https://github.com/RobbievanAert/puniform") + (synopsis + "Meta-Analysis Methods Correcting for Publication Bias") + (description + "This package provides meta-analysis methods that correct for publication +bias and outcome reporting bias. Four methods and a visual tool are currently +included in the package. + +@enumerate +@item The p-uniform method as described in van Assen, van Aert, and Wicherts +(2015) @url{doi:10.1037/met0000025} can be used for estimating the average +effect size, testing the null hypothesis of no effect, and testing for +publication bias using only the statistically significant effect sizes of +primary studies. + +@item The p-uniform* method as described in van Aert and van Assen (2019) +@url{doi:10.31222/osf.io/zqjr9}. This method is an extension of the p-uniform +method that allows for estimation of the average effect size and the +between-study variance in a meta-analysis, and uses both the statistically +significant and nonsignificant effect sizes. + +@item The hybrid method as described in van Aert and van Assen (2017) +@url{doi:10.3758/s13428-017-0967-6}. The hybrid method is a meta-analysis +method for combining an original study and replication and while taking into +account statistical significance of the original study. The p-uniform and +hybrid method are based on the statistical theory that the distribution of +p-values is uniform conditional on the population effect size. + +@item The fourth method in the package is the Snapshot Bayesian Hybrid +Meta-Analysis Method as described in van Aert and van Assen (2018) +@url{doi:10.1371/journal.pone.0175302}. This method computes posterior +probabilities for four true effect sizes (no, small, medium, and large) based +on an original study and replication while taking into account publication +bias in the original study. The method can also be used for computing the +required sample size of the replication akin to power analysis in null +hypothesis significance testing. @end enumerate + +The meta-plot is a visual tool for meta-analysis that provides information on +the primary studies in the meta-analysis, the results of the meta-analysis, +and characteristics of the research on the effect under study (van Assen and +others, 2020). + +Helper functions to apply the Correcting for Outcome Reporting Bias (CORB) +method to correct for outcome reporting bias in a meta-analysis (van Aert & +Wicherts, 2020).") + (license license:gpl2+))) + (define-public r-rcolorbrewer (package (name "r-rcolorbrewer") diff --git a/gnu/packages/statistics.scm b/gnu/packages/statistics.scm index 7075ac2fc1a..24201cbaf68 100644 --- a/gnu/packages/statistics.scm +++ b/gnu/packages/statistics.scm @@ -3182,71 +3182,6 @@ files into/from Pandas DataFrames. It is a wrapper around the C library mediation and estimating power.") (license license:gpl2+))) -(define-public r-puniform - (package - (name "r-puniform") - (version "0.2.7") - (source - (origin - (method url-fetch) - (uri (cran-uri "puniform" version)) - (sha256 - (base32 - "15q5wlcps7387rjz7p1f5kifg1fl5yxxy7gjx6fvspvqwjkjbs4z")))) - (properties `((upstream-name . "puniform"))) - (build-system r-build-system) - (propagated-inputs - (list r-adgoftest r-metafor r-numderiv r-rcpp r-rcpparmadillo)) - (home-page - "https://github.com/RobbievanAert/puniform") - (synopsis - "Meta-Analysis Methods Correcting for Publication Bias") - (description - "This package provides meta-analysis methods that correct for publication -bias and outcome reporting bias. Four methods and a visual tool are currently -included in the package. - -@enumerate -@item The p-uniform method as described in van Assen, van Aert, and Wicherts -(2015) @url{doi:10.1037/met0000025} can be used for estimating the average -effect size, testing the null hypothesis of no effect, and testing for -publication bias using only the statistically significant effect sizes of -primary studies. - -@item The p-uniform* method as described in van Aert and van Assen (2019) -@url{doi:10.31222/osf.io/zqjr9}. This method is an extension of the p-uniform -method that allows for estimation of the average effect size and the -between-study variance in a meta-analysis, and uses both the statistically -significant and nonsignificant effect sizes. - -@item The hybrid method as described in van Aert and van Assen (2017) -@url{doi:10.3758/s13428-017-0967-6}. The hybrid method is a meta-analysis -method for combining an original study and replication and while taking into -account statistical significance of the original study. The p-uniform and -hybrid method are based on the statistical theory that the distribution of -p-values is uniform conditional on the population effect size. - -@item -The fourth method in the package is the Snapshot Bayesian Hybrid Meta-Analysis -Method as described in van Aert and van Assen (2018) -@url{doi:10.1371/journal.pone.0175302}. This method computes posterior -probabilities for four true effect sizes (no, small, medium, and large) based -on an original study and replication while taking into account publication bias -in the original study. The method can also be used for computing the required -sample size of the replication akin to power analysis in null hypothesis -significance testing. -@end enumerate - -The meta-plot is a visual tool for meta-analysis that -provides information on the primary studies in the meta-analysis, the results -of the meta-analysis, and characteristics of the research on the effect under -study (van Assen and others, 2020). - -Helper functions to apply the Correcting for Outcome Reporting Bias (CORB) -method to correct for outcome reporting bias in a meta-analysis (van Aert & -Wicherts, 2020).") - (license license:gpl2+))) - (define-public xlispstat (let ((commit "f1bea6053df658ee48612bf1f63c35de99e2c649") (revision "0")) |