interpolate_quantiles.Rd
Interpolate quantiles and return a cumulative distribution function
interpolate_quantiles(object, ...) # S3 method for qs interpolate_quantiles( object, newdata = NULL, grid = seq_quant(0, 1, by = 0.01), parallel = T, ncores = getCores(), row_thresh = 20, tails = "gaussian", distn = "q", ... ) # S3 method for matrix interpolate_quantiles( object, alphas, grid = seq_quant(0, 1, by = 0.01), parallel = T, ncores = getCores(), row_thresh = 100, tails = "gaussian", distn = "q", ... )
object | either matrix of quantiles or a fitted model with a relevant method to dispatch |
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... | other arguments passed to interpolate quantiles |
newdata | New data to use when calculating quantiles to interpolate |
grid | grid along which to evaluate the CDF |
parallel | whether to work in parallel |
ncores | number of cores to use |
row_thresh | required minimum number of observations to use parallel processing |
tails | what distribution to use when fitting the tails, either "gaussian" or "exponential" |
distn | what to return, q for quantile, c for cdf, p for pdf |
alphas | values those quantiles are fit to |