Parameter Descriptions for ssdtools Functions
The object.
The object.
A data frame.
A data frame of the predictions.
A string of the x-axis label.
A string of the x-axis label.
A numeric vector of concentrations.
A numeric vector of percentages.
A string specifying which information-theoretic criterion ('aic', 'aicc' or 'bic') to use for model averaging .
A flag specifying whether to model average the estimates.
A flag specifying whether to estimate confidence intervals (by parametric bootstrapping).
A count of the number of bootstrap samples to use to estimate the se and confidence limits.
A number between 0 and 1 of the confidence level.
A string specifying the type of parallel operation to be used ('no', 'snow' or 'multicore').
A count of the number of parallel processes to use.
Unused.
vector of quantiles.
vector of probabilities.
number of observations.
logical; if TRUE, probabilities p are given as log(p).
logical; if TRUE (default), probabilities are P[X <= x],otherwise, P[X > x].
location parameter.
location parameter on the log scale.
scale parameter.
scale parameter on the log scale.
mean on log scale parameter.
location on log scale parameter.
standard deviation on log scale parameter.
scale on log scale parameter.
shape parameter on the log scale.
shape1 parameter on the log scale.
shape2 parameter on the log scale.
The x-value for the intersect
The y-value for the intersect.
A character vector of the distributions to select.
A string of the column in data with the concentrations.
A string of the column in data with the right concentration values.
A string of the column in data with the labels.
A string of the column in data for the shape aesthetic.
A string of the column in data for the color aesthetic.
A number for the size of the labels.
A flag indicating whether to plot the confidence interval as a grey ribbon as opposed to green solid lines.
The value to multiply the label x values by.
A count between 1 and 99 indicating the percent hazard concentration (or NULL).
A string of the column in data with the weightings (or NULL)
A character vector of the distribution names.
A flag specifying whether to only return fits with numerically computable standard errors.
A flag indicating whether fits should fail silently.
A flag specifying whether to silently remove missing values or remove them with a warning.
A positive whole number of the number of simulations to generate.