mable4.1.1 package

Maximum Approximate Bernstein/Beta Likelihood Estimation

Exponential change-point

Some Parametric Conditional Bivariate Copulas

Some Bivariate Copulas

Bhattacharyya coefficient and Hellinger correlation

Mixture Beta Distribution

Multivariate Mixture Beta Distribution

Exponentially Tilted Mixture Beta Distribution

Mable fit of Accelerated Failure Time Model

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

Control parameters for mable fit

Mable deconvolution with a known error density

Mable fit of the density ratio model based on grouped data

MABLE in Desnity Ratio Model

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

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

Mable fit based on one-sample interval censored data

Maximum Approximate Bernstein Likelihood Estimate of Multivariate Dens...

Mable fit of Cox's proportional hazards regression model

Mable fit of proportional odds rate regression model

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

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

Minimum Approximate Distance Estimate of Copula Density

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

Minimum Approximate Distance Estimate of Multivariate Density Function

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

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

Mable fit of AFT model with given regression coefficients

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

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

Mable fit of the PH model with given regression coefficients

Mable fit of the PO model with given regression coefficients

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

Method of mode estimate of a Bernstein polynomial model degree

Multivariate empirical cumulative distribution evaluated at sample dat...

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

Choosing optimal model degree by gamma change-point method

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

Plot mathod for class 'mable_reg'

Plot mathod for class 'mable'

Standard errors of coefficients in density ratio model

Summary mathods for classes 'mable' and 'mable_reg'

Matrix of the uniform marginal constraints

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