fitPRO: Fitting distributions to Patient-reported Outcome Data

fit.PROR Documentation

Fitting distributions to Patient-reported Outcome Data

Description

To fit PRO data to distributions including GLD, PD, GPD, Weibull, EWD and other families.

Usage

fit.PRO(x,dist,x.range,nclass)

Arguments

x

'x' can be a vector or a matrix, a 'histogram', or binned data.

dist

distribution type for 'x' and/or 'y'. Options include Weibull, gpd – generalized Pareto distribution, pd or Pareto, EWD– exponentiated Weibull distribtion.

x.range

Specifies the range of data. Used only for interval PRO data.

nclass

Number of classes/bins. Used only for interval PRO data.

Value

x.fit, y.fit

Fitted marginal distribution for row- and column-data when 'x' is a matrix.

Psi

Plackett estimate of the Psi. ONLY for 'fit.FSD2'

If each of x.fit and y.fit, the following values are available:

xhist

histogram.

dist

distribution type. Options include Weibull, gpd – generalized Pareto distribution, pd or Pareto, EWD– exponentiated Weibull distribtion.

size

Total number of observations (sample size)

pars

Estimates of parameters.

y, y2, x

the pdf (y) and cdf (y2) values evaluated on a grid x

Examples

x <- rweibull(1000,2,1)
(out <- fit.PRO(x))


bda documentation built on May 29, 2024, 2:56 a.m.

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