Automated build.

Files changed:
M	.setup/build/cTMed.pdf
M	.setup/build/cTMed_1.0.5.9000.tar.gz
M	.setup/latex/bib/bib.bib
A	.setup/latex/bib/quarto.bib
D	.setup/latex/pdf/.gitignore
D	.setup/latex/pdf/bib.bib
D	.setup/latex/pdf/cTMed-001-description.pdf
D	.setup/latex/pdf/cTMed-999-session.pdf
D	.setup/latex/pdf/cTMed-zzz-references.pdf
D	.setup/latex/pdf/cTMed-zzz-tests-benchmark.pdf
D	.setup/latex/pdf/cTMed-zzz-tests-external.pdf
D	.setup/latex/pdf/cTMed-zzz-tests-internal.pdf
D	.setup/latex/pdf/cTMed-zzz-tests-staging.pdf
M	vignettes/vignettes.bib

.setup/latex/bib/bib.bib

@@ -5633,3 +5633,31 @@ @Manual{Waller-2022
   publisher = {The R Foundation},
   annotation = {r, r-package},
 }
+
+@Article{Kenny-Judd-2013,
+  author = {David A. Kenny and Charles M. Judd},
+  date = {2013-12},
+  journaltitle = {Psychological Science},
+  title = {Power anomalies in testing mediation},
+  doi = {10.1177/0956797613502676},
+  issn = {1467-9280},
+  number = {2},
+  pages = {334--339},
+  volume = {25},
+  abstract = {Two rather surprising anomalies relating to statistical power occur in testing mediation. First, in a model with no direct effect for which the total effect and indirect effect are identical, the power for the test of the total effect can be dramatically smaller than the power for the test of the indirect effect. Second, when there is a direct effect of a causal variable on the outcome controlling for the mediator, the power of the test of the indirect effect is often considerably greater than the power of the test of the direct effect, even when the two are of the same magnitude. We try to explain the reasons for these anomalies and how they affect practice.},
+  publisher = {SAGE Publications},
+}
+
+@Article{Wang-2018,
+  author = {Kai Wang},
+  date = {2018-06},
+  journaltitle = {Psychometrika},
+  title = {Understanding power anomalies in mediation analysis},
+  doi = {10.1007/s11336-017-9598-1},
+  issn = {1860-0980},
+  number = {2},
+  pages = {387--406},
+  volume = {83},
+  abstract = {Previous studies have found some puzzling power anomalies related to testing the indirect effect of a mediator. The power for the indirect effect stagnates and even declines as the size of the indirect effect increases. Furthermore, the power for the indirect effect can be much higher than the power for the total effect in a model where there is no direct effect and therefore the indirect effect is of the same magnitude as the total effect. In the presence of direct effect, the power for the indirect effect is often much higher than the power for the direct effect even when these two effects are of the same magnitude. In this study, the limiting distributions of related statistics and their non-centralities are derived. Computer simulations are conducted to demonstrate their validity. These theoretical results are used to explain the observed anomalies.},
+  publisher = {Cambridge University Press (CUP)},
+}

.setup/latex/bib/quarto.bib

@@ -0,0 +1,11 @@
+@Article{Wright-1918,
+  author = {Sewall Wright},
+  date = {1918-07},
+  journaltitle = {Genetics},
+  title = {On the nature of size factors},
+  doi = {10.1093/genetics/3.4.367},
+  number = {4},
+  pages = {367--374},
+  volume = {3},
+  publisher = {Oxford University Press ({OUP})},
+}

vignettes/vignettes.bib

@@ -5633,3 +5633,31 @@ @Manual{Waller-2022
   publisher = {The R Foundation},
   annotation = {r, r-package},
 }
+
+@Article{Kenny-Judd-2013,
+  author = {David A. Kenny and Charles M. Judd},
+  date = {2013-12},
+  journaltitle = {Psychological Science},
+  title = {Power anomalies in testing mediation},
+  doi = {10.1177/0956797613502676},
+  issn = {1467-9280},
+  number = {2},
+  pages = {334--339},
+  volume = {25},
+  abstract = {Two rather surprising anomalies relating to statistical power occur in testing mediation. First, in a model with no direct effect for which the total effect and indirect effect are identical, the power for the test of the total effect can be dramatically smaller than the power for the test of the indirect effect. Second, when there is a direct effect of a causal variable on the outcome controlling for the mediator, the power of the test of the indirect effect is often considerably greater than the power of the test of the direct effect, even when the two are of the same magnitude. We try to explain the reasons for these anomalies and how they affect practice.},
+  publisher = {SAGE Publications},
+}
+
+@Article{Wang-2018,
+  author = {Kai Wang},
+  date = {2018-06},
+  journaltitle = {Psychometrika},
+  title = {Understanding power anomalies in mediation analysis},
+  doi = {10.1007/s11336-017-9598-1},
+  issn = {1860-0980},
+  number = {2},
+  pages = {387--406},
+  volume = {83},
+  abstract = {Previous studies have found some puzzling power anomalies related to testing the indirect effect of a mediator. The power for the indirect effect stagnates and even declines as the size of the indirect effect increases. Furthermore, the power for the indirect effect can be much higher than the power for the total effect in a model where there is no direct effect and therefore the indirect effect is of the same magnitude as the total effect. In the presence of direct effect, the power for the indirect effect is often much higher than the power for the direct effect even when these two effects are of the same magnitude. In this study, the limiting distributions of related statistics and their non-centralities are derived. Computer simulations are conducted to demonstrate their validity. These theoretical results are used to explain the observed anomalies.},
+  publisher = {Cambridge University Press (CUP)},
+}