• using R Under development (unstable) (2023-11-29 r85646)
• using platform: x86_64-pc-linux-gnu
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• this is package ‘Surrogate’ version ‘3.2.1’
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• checking Rd files ... [3s/3s] NOTE checkRd: (-1) ICA.BinBin.Grid.Sample.Rd:20: Lost braces; missing escapes or markup?     20 | \item{Volume.Perc}{Note that the marginals that are observable in the data set a number of restrictions on the unidentified correlations. For example, under montonicity for \eqn{S} and \eqn{T}, it holds that \eqn{\pi_{0111}<=min(\pi_{0\cdot1\cdot}, \pi_{\cdot1\cdot1})} and \eqn{\pi_{1100}<=min(\pi_{1\cdot0\cdot}, \pi_{\cdot1\cdot0})}. For example, when \eqn{min(\pi_{0\cdot1\cdot}, \pi_{\cdot1\cdot1})=0.10} and \eqn{min(\pi_{1\cdot0\cdot}, \pi_{\cdot1\cdot0})=0.08}, then all valid \eqn{\pi_{0111}<=0.10} and all valid \eqn{\pi_{1100}<=0.08}. The argument \code{Volume.Perc} specifies the fraction of the 'volume' of the paramater space that is explored. This volume is computed based on the grids G={0, 0.01, ..., maximum possible value for the counterfactual probability at hand}. E.g., in the previous example, the 'volume' of the parameter space would be \eqn{11*9=99}, and when e.g., the argument \code{Volume.Perc=1} is used a total of \eqn{99} runs will be conducted. Notice that when monotonicity is not assumed, relatively high values of \code{Volume.Perc} will lead to a large number of runs and consequently a long analysis time.}        | ^ checkRd: (-1) ICA.BinBin.Grid.Sample.Uncert.Rd:20: Lost braces; missing escapes or markup?     20 | \item{Volume.Perc}{Note that the marginals that are observable in the data set a number of restrictions on the unidentified correlations. For example, under montonicity for \eqn{S} and \eqn{T}, it holds that \eqn{\pi_{0111}<=min(\pi_{0\cdot1\cdot}, \pi_{\cdot1\cdot1})} and \eqn{\pi_{1100}<=min(\pi_{1\cdot0\cdot}, \pi_{\cdot1\cdot0})}. For example, when \eqn{min(\pi_{0\cdot1\cdot}, \pi_{\cdot1\cdot1})=0.10} and \eqn{min(\pi_{1\cdot0\cdot}, \pi_{\cdot1\cdot0})=0.08}, then all valid \eqn{\pi_{0111}<=0.10} and all valid \eqn{\pi_{1100}<=0.08}. The argument \code{Volume.Perc} specifies the fraction of the 'volume' of the paramater space that is explored. This volume is computed based on the grids G={0, 0.01, ..., maximum possible value for the counterfactual probability at hand}. E.g., in the previous example, the 'volume' of the parameter space would be \eqn{11*9=99}, and when e.g., the argument \code{Volume.Perc=1} is used a total of \eqn{99} runs will be conducted. Notice that when monotonicity is not assumed, relatively high values of \code{Volume.Perc} will lead to a large number of runs and consequently a long analysis time.}        | ^ checkRd: (-1) ICABinBin.Rd:22: Lost braces; missing escapes or markup?     22 | \item{Volume.Perc}{Note that the marginals that are observable in the data set a number of restrictions on the unidentified correlations. For example, under montonicity for \eqn{S} and \eqn{T}, it holds that \eqn{\pi_{0111}<=min(\pi_{0\cdot1\cdot}, \pi_{\cdot1\cdot1})} and \eqn{\pi_{1100}<=min(\pi_{1\cdot0\cdot}, \pi_{\cdot1\cdot0})}. For example, when \eqn{min(\pi_{0\cdot1\cdot}, \pi_{\cdot1\cdot1})=0.10} and \eqn{min(\pi_{1\cdot0\cdot}, \pi_{\cdot1\cdot0})=0.08}, then all valid \eqn{\pi_{0111}<=0.10} and all valid \eqn{\pi_{1100}<=0.08}. The argument \code{Volume.Perc} specifies the fraction of the 'volume' of the paramater space that is explored. This volume is computed based on the grids G={0, 0.01, ..., maximum possible value for the counterfactual probability at hand}. E.g., in the previous example, the 'volume' of the parameter space would be \eqn{11*9=99}, and when e.g., the argument \code{Volume.Perc=1} is used a total of \eqn{99} runs will be conducted for each given value of \code{Sum_Pi_f}. Notice that when monotonicity is not assumed, relatively high values of \code{Volume.Perc} will lead to a large number of runs and consequently a long analysis time.}        | ^ checkRd: (-1) MICA.Sample.ContCont.Rd:47-51: Lost braces     47 | \bold{Notes}{        | ^ checkRd: (-1) MICAContCont.Rd:42-46: Lost braces     42 | \bold{Notes}{        | ^
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• checking examples ... [81s/90s] OK Examples with CPU (user + system) or elapsed time > 5s                                       user system elapsed sensitivity_analysis_SurvSurv_copula 9.421 0.126 11.163 fit_model_SurvSurv 7.944 0.046 8.631 marginal_gof_scr 6.137 0.052 6.519 model_fit_measures 5.732 0.044 5.887 ICA.Sample.ContCont 5.645 0.071 6.401 FixedContContIT 4.677 0.083 5.494
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• DONE

Status: 1 NOTE