mable4.1.1 package

Maximum Approximate Bernstein/Beta Likelihood Estimation

chpt.exp

Exponential change-point

copula2d.cond

Some Parametric Conditional Bivariate Copulas

copula2d

Some Bivariate Copulas

corr.hellinger

Bhattacharyya coefficient and Hellinger correlation

dmixbeta

Mixture Beta Distribution

dmixmvbeta

Multivariate Mixture Beta Distribution

dtmixbeta

Exponentially Tilted Mixture Beta Distribution

mable.aft

Mable fit of Accelerated Failure Time Model

mable.copula

Maximum Approximate Bernstein Likelihood Estimate of Copula Density Fu...

mable.ctrl

Control parameters for mable fit

mable.decon

Mable deconvolution with a known error density

mable.dr.group

Mable fit of the density ratio model based on grouped data

mable.dr

MABLE in Desnity Ratio Model

mable.group

Mable fit of one-sample grouped data by an optimal or a preselected mo...

mable.hellcorr

Estimate of Hellinger Correlation between two random variables and Boo...

mable.ic

Mable fit based on one-sample interval censored data

mable.mvar

Maximum Approximate Bernstein Likelihood Estimate of Multivariate Dens...

mable.ph

Mable fit of Cox's proportional hazards regression model

mable.po

Mable fit of proportional odds rate regression model

mable

Maximum Approximate Bernstein Likelihood Estimate of Univariate or Mul...

mable.reg

Mable fit of semiparametric regression model based on interval censore...

made.copula

Minimum Approximate Distance Estimate of Copula Density

made.density

Minimum Approximate Distance Estimate of Density Function with an opti...

made.mvar

Minimum Approximate Distance Estimate of Multivariate Density Function

madem.copula

Minimum Approximate Distance Estimate of Copula with given model degre...

madem.density

Minimum Approximate Distance Estimate of univariate Density Function w...

maple.aft

Mable fit of AFT model with given regression coefficients

maple.dr.group

Maximum approximate profile likelihood estimate of the density ratio m...

maple.dr

Maximum approximate profile likelihood estimate of the density ratio m...

maple.ph

Mable fit of the PH model with given regression coefficients

maple.po

Mable fit of the PO model with given regression coefficients

marginal.p

The mixing proportions of marginal distribution from the mixture of mu...

momodem

Method of mode estimate of a Bernstein polynomial model degree

mvecdf

Multivariate empirical cumulative distribution evaluated at sample dat...

mvpbeta

Component Beta cumulative distribution functions of the Bernstein poly...

optim.gcp

Choosing optimal model degree by gamma change-point method

optimable

mable with degree selected by the method of moment and method of mode

plot.mable_reg

Plot mathod for class 'mable_reg'

plot.mable

Plot mathod for class 'mable'

se.coef.dr

Standard errors of coefficients in density ratio model

summary.mable

Summary mathods for classes 'mable' and 'mable_reg'

umc.mat

Matrix of the uniform marginal constraints

weib.gpo

Generalized PO model with Weibull baseline

Fit data from a continuous population with a smooth density on finite interval by an approximate Bernstein polynomial model which is a mixture of certain beta distributions and find maximum approximate Bernstein likelihood estimator of the unknown coefficients. Consequently, maximum likelihood estimates of the unknown density, distribution functions, and more can be obtained. If the support of the density is not the unit interval then transformation can be applied. This is an implementation of the methods proposed by the author of this package published in the Journal of Nonparametric Statistics: Guan (2016) <doi:10.1080/10485252.2016.1163349> and Guan (2017) <doi:10.1080/10485252.2017.1374384>. For data with covariates, under some semiparametric regression models such as Cox proportional hazards model and the accelerated failure time model, the baseline survival function can be estimated smoothly based on general interval censored data.

  • Maintainer: Zhong Guan
  • License: LGPL (>= 2.0, < 3)
  • Last published: 2024-10-01