fitPRO: Fitting distributions to Patient-reported Outcome Data

In bda: Binned Data Analysis

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 Oct. 13, 2023, 5:10 p.m.