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 Sept. 11, 2024, 9:01 p.m.