## All functions

apply_dist_to_array()

Apply a function to each pixel of (2,3)D array, passing fit parameters as reference

array_apply()

Apply a function to each pixel of a stack of matrices

cdfgev()

Cumulative distribution function for the generalized extreme value (GEV) distribution

cdfpe3()

Cumulative distribution function for the Pearson Type-III distribution

find_cdf()

Lookup a CDF by distribution name

find_qua()

Lookup a quantile function (inverse CDF) by distribution name

find_stat()

Get a function to compute a named statistic over a vector of observations

fit_cell_distributions()

Fit cell-wise statistical distributions using L-moments

forecast_correct()

forecast_correct

gev_forecast_correct()

Bias-correct a forecast using GEV distribution

parallel_backend_exists()

Test whether the parallel package has a default cluster

pe3_forecast_correct()

Bias-correct a forecast using Pearson Type-III distribution

quagev()

Quantile function for the generalized extreme value (GEV) distribution

quantile2correct()

quantile2correct

quantile2rp()

Convert quantiles into return periods

quape3()

Quantile function for the Pearson Type-III distribution

raw2quantile()

Calculate the quantile of a raw forecast

rp2quantile()

Convert return periods into quantiles

rp2sa()

Convert return period into standardized anomaly

rsapply()

Apply a per-pixel function across a Raster*

sa2rp()

Convert standardized anomaly into a return period

stack_frac_defined()

Compute the fraction of defined elements for each row and col in a 3D array

stack_frac_defined_above_zero()

Compute the fraction of defined elements above zero for each row and col in a 3D array

stack_max()

Compute the maximum defined element for each row and col in a 3D array

stack_mean()

Compute the mean defined element for each row and col in a 3D array

stack_median()

Compute the median of defined elementsn for each row and col in a 3D array

stack_min()

Compute the minimum defined element for each row and col in a 3D array

stack_quantile()

Compute a given quantile of defined elements for each row and col in a 3D array

stack_sum()

Compute the sum of defined elements for each row and col in a 3D array

stack_which_max()

Compute the index of the maximum defined element for each row and col in a 3D array

stack_which_min()

Compute the index of the minimum defined element for each row and col in a 3D array

standard_anomaly()

Compute the standardized anomaly associated with an observation

substitute()

Substitute specifed values in a vector with replacements

wsim_quantile()

Compute a sample quantile of a given vector. NA values are ignored.