checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                       ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                                  ^
checkRd: (-1) iccbin.Rd:23: Lost braces
    23 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) varbin.Rd:22: Lost braces
    22 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                       ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                                  ^
checkRd: (-1) iccbin.Rd:23: Lost braces
    23 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) varbin.Rd:22: Lost braces
    22 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                       ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                                  ^
checkRd: (-1) iccbin.Rd:23: Lost braces
    23 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) varbin.Rd:22: Lost braces
    22 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                       ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                                  ^
checkRd: (-1) iccbin.Rd:23: Lost braces
    23 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) varbin.Rd:22: Lost braces
    22 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                       ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                                  ^
checkRd: (-1) iccbin.Rd:23: Lost braces
    23 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) varbin.Rd:22: Lost braces
    22 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                       ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                                  ^
checkRd: (-1) iccbin.Rd:23: Lost braces
    23 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) varbin.Rd:22: Lost braces
    22 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                       ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                                  ^
checkRd: (-1) iccbin.Rd:23: Lost braces
    23 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) varbin.Rd:22: Lost braces
    22 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                       ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                                  ^
checkRd: (-1) iccbin.Rd:23: Lost braces
    23 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) varbin.Rd:22: Lost braces
    22 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                       ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                                  ^
checkRd: (-1) iccbin.Rd:23: Lost braces
    23 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) varbin.Rd:22: Lost braces
    22 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                       ^
checkRd: (-1) gof.Rd:32: Lost braces
    32 | Assuming that the data length is \eqn{N} and the number of the parameters in the model is \eqn{p}, eqn{D} and eqn{X^2} are compared to a chi-squared distribution with \eqn{N-p} degrees of freedom.
       |                                                                                                                  ^
checkRd: (-1) iccbin.Rd:23: Lost braces
    23 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^
checkRd: (-1) varbin.Rd:22: Lost braces
    22 |   \item{m}{A vector of the numbers of successes (proportions are eqn{y = m / n}).}
       |                                                                     ^