vasicekreg development version (2026-08-09)

Boundary-adjusted mean regression

Added the GAMLSS-conventional aliases d/p/q/rZANVASIM(), d/p/q/rOANVASIM(), and d/p/q/rZOANVASIM(). The established numbered names remain available. This correspondence allows likelihood-based methods such as vcov.gamlss() to locate each family’s density function.
Added ZANVASIM(), a zero-adjusted normal-kernel Vasicek mean family, with nu modeling the probability at zero.
Added OANVASIM(), a one-adjusted normal-kernel Vasicek mean family, with nu modeling the probability at one.
Added ZOANVASIM(), a zero-and-one-adjusted normal-kernel Vasicek mean family. In this family, nu is the probability at zero and tau is the conditional probability at one among nonzero observations.
Added the corresponding d0NVASIM(), p0NVASIM(), q0NVASIM(), r0NVASIM(), d1NVASIM(), p1NVASIM(), q1NVASIM(), r1NVASIM(), d01NVASIM(), p01NVASIM(), q01NVASIM(), and r01NVASIM() functions.
Added analytical derivatives, randomized quantile residuals, marginal moments, and GAMLSS fitting support for all three boundary-adjusted families.

Standardized the R source filenames as dpqr-0NvasicekM.R, dpqr-1NvasicekM.R, and dpqr-01NvasicekM.R.
Added numerical verification of all first, second, and cross derivatives for ZANVASIM, OANVASIM, and ZOANVASIM.
Clarified the roles of x and q and distinguished the boundary behavior of the zero-adjusted, one-adjusted, and zero-and-one-adjusted distributions.
Updated the package overview to describe the boundary-adjusted families and to distinguish the tau parameter in ZOANVASIM from the fixed quantile level used by NVASIQ and LVASIQ.
Added a package-level example comparing OANVASIM and BEOI using the one-inflated accuracy1 response from the ReadingSkills data.

Renamed the normal-kernel mean family and distribution functions from VASIM to NVASIM.
Renamed the normal-kernel quantile family and distribution functions from VASIQ to NVASIQ.
Retained LVASIQ for the logistic-kernel quantile distribution functions.
Renamed the corresponding R and C++ source files to identify the kernel (N or L) and parameterization (M or Q) explicitly.
Renamed the internal Rcpp routines and regenerated their registration interfaces.
Updated the namespace, documentation, examples, package overview, and tests for the new interface.

NVASIQ() does not accept tau as an argument. For GAMLSS fitting, tau must be defined as a scalar variable in the global environment.
The distribution functions dNVASIQ(), pNVASIQ(), qNVASIQ(), and rNVASIQ() continue to accept tau explicitly.

Added the LVASIQ() GAMLSS family for conditional quantile regression with the logistic-kernel Vasicek distribution.
Implemented closed-form first, second, and cross derivatives with respect to mu and sigma; model fitting does not use numerical differentiation.
Added quantile residual support and numerical moment functions for the family object.

Restored the missing implementation of qVASIM().
Corrected log.p handling in all quantile functions.
Corrected the bivariate-normal calculation used by the variance components of VASIM() and VASIQ().
Made the fixed quantile level an explicit argument of VASIQ() and removed dependence on a global tau object.
Corrected the second derivative with respect to mu in VASIQ().
Added stable upper-tail calculations and consistent parameter-length checks to the C++ routines.

Clarified that the logistic-kernel implementation currently provides distribution functions but not a GAMLSS family.
Added executable tests for distribution identities, moments, derivatives, vectorization, and fixed-quantile handling.