diff options
Diffstat (limited to 'man')
| -rw-r--r-- | man/drfit.Rd | 16 |
1 files changed, 7 insertions, 9 deletions
diff --git a/man/drfit.Rd b/man/drfit.Rd index a89b5dd..453c0f8 100644 --- a/man/drfit.Rd +++ b/man/drfit.Rd @@ -7,7 +7,7 @@ } \usage{ drfit(data, startlogED50 = NA, chooseone = TRUE, probit = TRUE, logit = FALSE, - weibull = FALSE, linlogit = FALSE, conf = FALSE, linlogitWrong = NA, + weibull = FALSE, linlogit = FALSE, level = 0.95, linlogitWrong = NA, allWrong = NA, s0 = 0.5, b0 = 2, f0 = 0) } \arguments{ @@ -43,10 +43,8 @@ A boolean defining if the linear-logistic function \code{\link{linlogitf}} as defined by van Ewijk and Hoekstra 1993 is fitted to the data. Default is FALSE.} - \item{conf}{ - A boolean defining if a confidence interval of the log ED50 is to be - listed for alpha = 5 \% (two-sided). If FALSE (default), the standard - deviation is listed in the output of drfit.} + \item{level}{ + The level for the confidence interval listed for the log ED50.} \item{linlogitWrong}{ An optional vector containing the names of the substances for which the linlogit function produces a wrong fit.} @@ -81,10 +79,10 @@ \code{lhd} is the decadic logarithm of the highest dose. For the \dQuote{linlogit}, \dQuote{logit} and \dQuote{probit} models, the parameter \code{a} that is reported coincides with the logED50, i.e the - logED50 is one of the model parameters that is being fitted, and - therefore, depending on the argument \code{conf}, a standard deviation - \code{std} or a confidence interval \code{conf} is reported for the - logED50. In the case of the \dQuote{weibull} model, \code{a} is a + logED50 is one of the model parameters that is being fitted. Therefore, + a confidence interval for the confidence level \code{level} is calculated + using the \code{\link[MASS:confint]{confint.nls}} function and listed. + In the case of the \dQuote{weibull} model, \code{a} is a location parameter. Parameter \code{b} in the case of the \dQuote{linlogit} fit is the variable b from the \code{\link{linlogitf}} function. In the case of \dQuote{probit} fit it is the standard deviation |