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- Implemented split_student (Fernández-Steel two-piece Student-t) parameterized with mean mu, asymptotic standard deviation sigma, skewness alpha (matching skew_normal convention k = exp(alpha)), and degrees of freedom nu. - Added fun_split_student.stan in inst/chunks/ with gradient-guarded autodiff expansions for lcdf/lccdf at u = 0. - Implemented dsplit_student, psplit_student, qsplit_student, rsplit_student in R/distributions.R and documented via roxygen2. - Added family registration in R/families.R and R/family-lists.R. - Added methods for log_lik (supporting weights, censoring, and truncation), posterior_epred, and posterior_predict. - Added unit tests for R distribution functions and Stan self-defined functions. - Updated NEWS.md referencing paul-buerkner#513.
Avoid static code analysis warning on R CMD check when cmdstanr < 1.0 is installed.
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Implemented split_student (Fernández-Steel two-piece Student-t) parameterized with mean mu, asymptotic standard deviation sigma, skewness alpha (matching skew_normal convention k = exp(alpha)), and degrees of freedom nu.
Added fun_split_student.stan in inst/chunks/ with gradient-guarded autodiff expansions for lcdf/lccdf at u = 0.
Implemented dsplit_student, psplit_student, qsplit_student, rsplit_student in R/distributions.R and documented via roxygen2.
Added family registration in R/families.R and R/family-lists.R.
Added methods for log_lik (supporting weights, censoring, and truncation), posterior_epred, and posterior_predict.
Added unit tests for R distribution functions and Stan self-defined functions.
Updated NEWS.md referencing Implementing the Skewed T-Distribution #513.