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              grep rough audit - static analysis tool
                  v2.8 written by @Wireghoul
=================================[justanotherhacker.com]===
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw-508-%
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw:509:where $\bm z_i$ is the $i$'th row of a design matrix $\bm Z$ without a leading column for an intercept and $\sigma^* = \exp(\mu)$, then
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw-510-\begin{equation*}
##############################################
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw-621-\end{equation*}
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw:622:where $q = \lambda^{-2}\exp(\lambda \eta)$ and $G(\cdot; \alpha)$ denotes the Gamma distribution with shape parameter $\alpha$ and unit rate parameter and $\Phi$ denotes the cumulative standard normal distribution function.
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw-623-
##############################################
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw-631-\end{equation*}
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw:632:where $k=\lambda^{-2}$, $\Gamma(\cdot)$ is the gamma function and $\phi$ is the standard normal density function.
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw-633-
##############################################
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw-683-
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw:684:The NR algorithm in \pkg{ordinal} has two convergence criteria: (1) an absolute criterion requesting that $\max | \bm g(\bm\psi^{(i)}; \bm y) | < \tau_1$ and (2) a relative criterion requesting that $\max | \bm h^{(i)} | < \tau_2$ where the default thresholds are $\tau_1 = \tau_2 = 10^{-6}$.
r-cran-ordinal-2019.12-10/vignettes/clm_article.Rnw-685-
##############################################
r-cran-ordinal-2019.12-10/R/clm.frames.R-195-    ## (parent.frame(2)) to get them evaluated properly:
r-cran-ordinal-2019.12-10/R/clm.frames.R:196:    forms <- list(eval(mc$formula, envir=envir))
r-cran-ordinal-2019.12-10/R/clm.frames.R:197:    if(!is.null(mc$scale))   forms$scale   <- eval(mc$scale,   envir=envir)
r-cran-ordinal-2019.12-10/R/clm.frames.R:198:    if(!is.null(mc$nominal)) forms$nominal <- eval(mc$nominal, envir=envir)
r-cran-ordinal-2019.12-10/R/clm.frames.R-199-    ## get the environment of the formula. If this does not have an
##############################################
r-cran-ordinal-2019.12-10/R/clm.predict.R-97-            for(i in off.num) offset <- offset +
r-cran-ordinal-2019.12-10/R/clm.predict.R:98:                eval(attr(object$terms, "variables")[[i + 1]], newdata)
r-cran-ordinal-2019.12-10/R/clm.predict.R-99-        y <- model.response(mf)
##############################################
r-cran-ordinal-2019.12-10/R/clm.predict.R-143-                for(i in off.num) Soff <- Soff +
r-cran-ordinal-2019.12-10/R/clm.predict.R:144:                    eval(attr(object$S.terms, "variables")[[i + 1]], newdata)
r-cran-ordinal-2019.12-10/R/clm.predict.R-145-        }
##############################################
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw-508-%
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw:509:where $\bm z_i$ is the $i$'th row of a design matrix $\bm Z$ without a leading column for an intercept and $\sigma^* = \exp(\mu)$, then
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw-510-\begin{equation*}
##############################################
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw-621-\end{equation*}
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw:622:where $q = \lambda^{-2}\exp(\lambda \eta)$ and $G(\cdot; \alpha)$ denotes the Gamma distribution with shape parameter $\alpha$ and unit rate parameter and $\Phi$ denotes the cumulative standard normal distribution function.
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw-623-
##############################################
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw-631-\end{equation*}
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw:632:where $k=\lambda^{-2}$, $\Gamma(\cdot)$ is the gamma function and $\phi$ is the standard normal density function.
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw-633-
##############################################
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw-683-
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw:684:The NR algorithm in \pkg{ordinal} has two convergence criteria: (1) an absolute criterion requesting that $\max | \bm g(\bm\psi^{(i)}; \bm y) | < \tau_1$ and (2) a relative criterion requesting that $\max | \bm h^{(i)} | < \tau_2$ where the default thresholds are $\tau_1 = \tau_2 = 10^{-6}$.
r-cran-ordinal-2019.12-10/inst/doc/clm_article.Rnw-685-
##############################################
r-cran-ordinal-2019.12-10/debian/tests/run-unit-test-6-if [ "$AUTOPKGTEST_TMP" = "" ] ; then
r-cran-ordinal-2019.12-10/debian/tests/run-unit-test:7:    AUTOPKGTEST_TMP=`mktemp -d /tmp/${debname}-test.XXXXXX`
r-cran-ordinal-2019.12-10/debian/tests/run-unit-test-8-    trap "rm -rf $AUTOPKGTEST_TMP" 0 INT QUIT ABRT PIPE TERM