All functions
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apply_dist_to_array()
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Apply a function to each pixel of (2,3)D array, passing fit parameters as reference |
array_apply()
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Apply a function to each pixel of a stack of matrices |
cdfgev()
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Cumulative distribution function for the generalized extreme value (GEV) distribution |
cdfpe3()
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Cumulative distribution function for the Pearson Type-III distribution |
find_cdf()
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Lookup a CDF by distribution name |
find_qua()
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Lookup a quantile function (inverse CDF) by distribution name |
find_stat()
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Get a function to compute a named statistic over a vector of observations |
fit_cell_distributions()
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Fit cell-wise statistical distributions using L-moments |
forecast_correct()
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forecast_correct |
gev_forecast_correct()
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Bias-correct a forecast using GEV distribution |
parallel_backend_exists()
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Test whether the parallel package has a default cluster |
pe3_forecast_correct()
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Bias-correct a forecast using Pearson Type-III distribution |
quagev()
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Quantile function for the generalized extreme value (GEV) distribution |
quantile2correct()
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quantile2correct |
quantile2rp()
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Convert quantiles into return periods |
quape3()
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Quantile function for the Pearson Type-III distribution |
raw2quantile()
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Calculate the quantile of a raw forecast |
rp2quantile()
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Convert return periods into quantiles |
rp2sa()
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Convert return period into standardized anomaly |
rsapply()
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Apply a per-pixel function across a Raster* |
sa2rp()
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Convert standardized anomaly into a return period |
stack_frac_defined()
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Compute the fraction of defined elements for each row and col in a 3D array |
stack_frac_defined_above_zero()
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Compute the fraction of defined elements above zero for each row and col in a 3D array |
stack_max()
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Compute the maximum defined element for each row and col in a 3D array |
stack_mean()
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Compute the mean defined element for each row and col in a 3D array |
stack_median()
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Compute the median of defined elementsn for each row and col in a 3D array |
stack_min()
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Compute the minimum defined element for each row and col in a 3D array |
stack_quantile()
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Compute a given quantile of defined elements for each row and col in a 3D array |
stack_sum()
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Compute the sum of defined elements for each row and col in a 3D array |
stack_which_max()
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Compute the index of the maximum defined element for each row and col in a 3D array |
stack_which_min()
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Compute the index of the minimum defined element for each row and col in a 3D array |
standard_anomaly()
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Compute the standardized anomaly associated with an observation |
substitute()
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Substitute specifed values in a vector with replacements |
wsim_quantile()
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Compute a sample quantile of a given vector. NA values are ignored. |