Package index • fitdistrplus

Overview

Overview of fitdistrplus

fitdistrplus fitdistrplus-package: Overview of the fitdistrplus package

Exploratory analysis

Exploratory analysis when searching for appropriate distributions

descdist() print(<descdist>): Description of an empirical distribution for non-censored data

Fit uncensored distributions

Fitting procedures and derivatives

fitdist() print(<fitdist>) plot(<fitdist>) summary(<fitdist>) logLik(<fitdist>) AIC(<fitdist>) BIC(<fitdist>) vcov(<fitdist>) coef(<fitdist>): Fit of univariate distributions to non-censored data

quantile(<fitdist>) quantile(<fitdistcens>) quantile(<bootdist>) quantile(<bootdistcens>) print(<quantile.fitdist>) print(<quantile.fitdistcens>) print(<quantile.bootdist>) print(<quantile.bootdistcens>): Quantile estimation from a fitted distribution

gofstat() print(<gofstat.fitdist>) print(<gofstat.fitdistcens>): Goodness-of-fit statistics

mgedist(): Maximum goodness-of-fit fit of univariate continuous distributions

mledist(): Maximum likelihood fit of univariate distributions

mmedist(): Matching moment fit of univariate distributions

msedist(): Maximum spacing estimation of univariate distributions

qmedist(): Quantile matching fit of univariate distributions

bootdist() print(<bootdist>) plot(<bootdist>) summary(<bootdist>) density(<bootdist>) plot(<density.bootdist>) print(<density.bootdist>): Bootstrap simulation of uncertainty for non-censored data

Fit censored distributions

Fitting procedures and derivatives

fitdistcens() print(<fitdistcens>) plot(<fitdistcens>) summary(<fitdistcens>) logLik(<fitdistcens>) AIC(<fitdistcens>) BIC(<fitdistcens>) vcov(<fitdistcens>) coef(<fitdistcens>): Fitting of univariate distributions to censored data

quantile(<fitdist>) quantile(<fitdistcens>) quantile(<bootdist>) quantile(<bootdistcens>) print(<quantile.fitdist>) print(<quantile.fitdistcens>) print(<quantile.bootdist>) print(<quantile.bootdistcens>): Quantile estimation from a fitted distribution

gofstat() print(<gofstat.fitdist>) print(<gofstat.fitdistcens>): Goodness-of-fit statistics

mledist(): Maximum likelihood fit of univariate distributions

Surv2fitdistcens(): Handling of data formated as in the survival package for use in fitdistcens()

bootdistcens() print(<bootdistcens>) plot(<bootdistcens>) summary(<bootdistcens>) density(<bootdistcens>) plot(<density.bootdistcens>) print(<density.bootdistcens>): Bootstrap simulation of uncertainty for censored data

Graphics

Graphical procedures

CIcdfplot(): Empirical cumulative distribution function with pointwise confidence intervals on probabilities or on quantiles

plotdist(): Plot of empirical and theoretical distributions for non-censored data

plotdistcens(): Plot of empirical and theoretical distributions for censored data

cdfcomp() denscomp() qqcomp() ppcomp(): Graphical comparison of multiple fitted distributions (for non-censored data)

cdfcompcens() qqcompcens() ppcompcens(): Graphical comparison of multiple fitted distributions for censored data

Data

Useful datasets

danishuni danishmulti: Danish reinsurance claim dataset

dataFAQlog1 dataFAQscale1 dataFAQscale2: Datasets for the FAQ

endosulfan: Species Sensitivity Distribution (SSD) for endosulfan

fluazinam: Species-Sensitivity Distribution (SSD) for Fluazinam

fremale: Fictive survival dataset of a french Male population

groundbeef: Ground beef serving size data set

salinity: Species-Sensitivity Distribution (SSD) for salinity tolerance

smokedfish: Contamination data of Listeria monocytogenes in smoked fish

toxocara: Parasite abundance in insular feral cats

Misc

Other internal functions

detectbound(): Detect bounds for density function

llplot(): (Log)likelihood plot for a fit using maximum likelihood

llsurface() llcurve(): (Log)likelihood surfaces or (log)likelihood curves

prefit(): Pre-fitting procedure