vasicekreg - Vasicek-Type Distributions and Regression Models
Provides density, cumulative distribution, quantile, and
random generation functions for Vasicek-type distributions with
standard normal, standard logistic, and standard
hyperbolic-secant kernels. The normal-kernel distribution is
parameterized by either its mean or a fixed quantile, whereas
the logistic- and hyperbolic-secant-kernel distributions use
fixed-quantile parameterizations. Zero-augmented,
one-augmented, and zero-and-one-augmented extensions of the
normal-kernel mean parameterization are also provided for
responses that include boundary values. The corresponding
'NVASIM', 'NVASIQ', 'LVASIQ', 'HVASIQ', 'ZANVASIM', 'OANVASIM',
and 'ZOANVASIM' families are available for fitting Generalized
Additive Models for Location, Scale and Shape (GAMLSS), as
introduced by Rigby and Stasinopoulos (2005,
<doi:10.1111/j.1467-9876.2005.00510.x>). Two-part
random-intercept regression models for zero-augmented
longitudinal responses are included with either a beta or a
normal-kernel Vasicek positive component, extending the
framework of Chen and Li (2016,
<doi:10.1093/bioinformatics/btw308>). Some functions are
written in 'C++' using 'Rcpp', developed by Eddelbuettel and
Francois (2011, <doi:10.18637/jss.v040.i08>).
