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              grep rough audit - static analysis tool
                  v2.8 written by @Wireghoul
=================================[justanotherhacker.com]===
r-cran-bayestestr-0.7.5/vignettes/bayes_factors.Rmd-625-
r-cran-bayestestr-0.7.5/vignettes/bayes_factors.Rmd:626:It seems that the model without `carb` as a predictor is $1/BF=1.2$ times more likely than the model *with* `carb` as a predictor. We might then assume that in the latter model, the HDI will include the point-null value of 0 effect, to also indicate the credibility of the null in the posterior. However, this is not the case:
r-cran-bayestestr-0.7.5/vignettes/bayes_factors.Rmd-627-
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r-cran-bayestestr-0.7.5/R/utils_check_collinearity.R-48-        if (nrow(results) > 0) {
r-cran-bayestestr-0.7.5/R/utils_check_collinearity.R:49:          where <- paste0("between ", paste0(paste0(results$where, " (r = ", round(results$corr, 2), ")"), collapse = ", "), "")
r-cran-bayestestr-0.7.5/R/utils_check_collinearity.R-50-          message("Possible multicollinearity ", where, ". This might lead to inappropriate results. See 'Details' in '?", method, "'.")
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r-cran-bayestestr-0.7.5/R/utils_check_collinearity.R-55-        if (nrow(results) > 0) {
r-cran-bayestestr-0.7.5/R/utils_check_collinearity.R:56:          where <- paste0("between ", paste0(paste0(results$where, " (r = ", round(results$corr, 2), ")"), collapse = ", "), "")
r-cran-bayestestr-0.7.5/R/utils_check_collinearity.R-57-          warning("Probable multicollinearity ", where, ". This might lead to inappropriate results. See 'Details' in '?", method, "'.", call. = FALSE)
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r-cran-bayestestr-0.7.5/NEWS.md-200-- `rnorm_perfect()` deprecated in favour of `distribution_normal()`
r-cran-bayestestr-0.7.5/NEWS.md:201:- `map_estimate()` now returns a single value instead of a dataframe and the `density` parameter has been removed. The MAP density value is now accessible via `attributes(map_output)$MAP_density`
r-cran-bayestestr-0.7.5/NEWS.md-202-
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r-cran-bayestestr-0.7.5/inst/doc/bayes_factors.Rmd-625-
r-cran-bayestestr-0.7.5/inst/doc/bayes_factors.Rmd:626:It seems that the model without `carb` as a predictor is $1/BF=1.2$ times more likely than the model *with* `carb` as a predictor. We might then assume that in the latter model, the HDI will include the point-null value of 0 effect, to also indicate the credibility of the null in the posterior. However, this is not the case:
r-cran-bayestestr-0.7.5/inst/doc/bayes_factors.Rmd-627-
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r-cran-bayestestr-0.7.5/debian/tests/run-unit-test-6-if [ "$AUTOPKGTEST_TMP" = "" ] ; then
r-cran-bayestestr-0.7.5/debian/tests/run-unit-test:7:    AUTOPKGTEST_TMP=`mktemp -d /tmp/${debname}-test.XXXXXX`
r-cran-bayestestr-0.7.5/debian/tests/run-unit-test-8-    trap "rm -rf $AUTOPKGTEST_TMP" 0 INT QUIT ABRT PIPE TERM