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.}
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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.}
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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.}
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checkRd: (-1) MICA.Sample.ContCont.Rd:47-51: Lost braces
    47 | \bold{Notes}{
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checkRd: (-1) MICAContCont.Rd:42-46: Lost braces
    42 | \bold{Notes}{
       |             ^