vasicekreg-package: Overview of the vasicekreg package
In vasicekreg: Regression Modeling Using Vasicek Distribution
Description
The vasicekreg package implements the probability density function, quantile function, cumulative distribution function and random number generation function for Vasicek distribution parameterized, either, as a function of its mean or its τ-th quantile, 0 <τ<1. In addition, two gamlss frameworks for regression analysis are available. Some function are written in C++ using Rcpp.
Details
bodyfat: Body fat data set.
VASIM: For mean modeling (con/in)ditional on covariate(s).
VASIQ: For quantile modeling (con/in)ditional on covariate(s).
Author(s)
Josmar Mazucheli jmazucheli@gmail.com
Bruna Alves pg402900@uem.br
vasicekreg documentation built on May 28, 2021, 1:06 a.m.
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Description
The vasicekreg package implements the probability density function, quantile function, cumulative distribution function and random number generation function for Vasicek distribution parameterized, either, as a function of its mean or its τ-th quantile, 0 <τ<1. In addition, two gamlss frameworks for regression analysis are available. Some function are written in C++ using Rcpp.
Details
bodyfat: Body fat data set.
VASIM: For mean modeling (con/in)ditional on covariate(s).
VASIQ: For quantile modeling (con/in)ditional on covariate(s).
Author(s)
Josmar Mazucheli jmazucheli@gmail.com
Bruna Alves pg402900@uem.br
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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