Package index
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genChangeData() - Function to impose an change impact effect
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generateIC() - Function to add correlated noise to data
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genOverallchangeData() - Function to impose an overall change impact effect
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genRedistData() - Function to impose a re-distribution impact effect
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getCorrelationMat() - Function to get the correlation for each panel defined in the data
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impact.coverage() - Get the coverage for the impact coefficient
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make.raster() - Function to make non-regular data into a raster
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makeToyData() - Function to create a toy dataset for package testing
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plot(<coverage>) - Function to plot the confidence intervals from the change parameter
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plot(<diffs>) - Function to plot the output from powerSim
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plot(<preds>) - Function plot the mean, lower 2.5\% and upper 97.5\% of predicted animal counts before and after the event.
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plot(<sigdiff>) - Function to plot the output from powerSim
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plotMean() - Plotting function to assess the mean of generated data
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plotVariance() - Plotting function to assess the mean-variance relationship of generated data
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powerPlot() - Function to show how the power to detect change varies with the error rate.
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powerSimPll() - Function to run a power analysis for a model of type 'gamMRSea'
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pval.coverage.null() - Function to estimate the coverage of the overall change impact coefficient.
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pval.differences() - Function to get p-values for individual cell differences
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summary(<gamMRSea.power>) - Summary function for objects of class gamMRSea.power