fitdist_fr: Fit Frechet distribution to non-censored data
In jmw86069/salsa: Single-cell Amalgamation by Latent Semantic Analysis (SALSA)

Description Usage Arguments Details Value See Also Examples

Fit Frechet distribution to non-censored data

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fitdist_fr(x, method = "mme", min_shape = 1, order = c(1, 2),
  central = FALSE, absolute = FALSE, na.rm = FALSE,
  verbose = FALSE, ...)

`x`	numeric vector
`method`	fitting method, argument passed to `fitdistrplus::fitdist()`, by default `"mme"` moment matching estimation.
`min_shape`	numeric value restricting the minimum shape otherwise output is set to `NULL`.
`order, central, absolute, na.rm`	arguments passed to `moments::moment()`. These values do not typically need to be customized.
`verbose`	logical indicating whether to print verbose output.
`...`	additional arguments are passed to `fitdistrplus::fitdist()`.
`param_fr_wei`	`data.frame` of parameter bounds, output from `params_fr_wei()`, which defines the start, upper, and lower bounds for each of the five parameters.

This function is a simple wrapper around fitdistrplus::fitdist() for the Frechet distribution, using "actuar::dinvweibull". Most customizations are performed by the corresponding support function, for example when method="mme" the distribution fit function is fitdistrplus::mmedist(), which then calls stats::optim(). Arguments are passed to these functions using ... where applicable.

object of class "fitdist" described in fitdistrplus::fitdist(). If any error occurs during the fit, a NULL is returned.

Other SALSA distribution fit functions: dfr_wei, fitdist_fr_wei, params_fr_wei

data(oz2_numi_per_cell);
x <- oz2_numi_per_cell$count[oz2_numi_per_cell$count >= 16];
fit_fr <- fitdist_fr(x);
# print coefficients
print(coef(fit_fr));