A Class of Adaptive Elastic Net Methods for Censored Data
Provides new approaches to variable selection for AFT model.

For distributions whose probability density functions are log-concave, Adaptive Rejection Sampling (ARS) algorithm can be used to build for sampling by Gilks W R, Wild P (1992) <doi:10.2307/2347565>. For others, we can use Modifed Adaptive Rejection Sampling (MARS) algorithm by Martino L, Míguez J (2011) <doi:10.1007/s11222-010-9197-9>, Concave-Convex Adaptive Rejection (CCARS) Sampling algorithm by Görür D, Teh Y W (2011) <doi:10.1198/jcgs.2011.09058> and Adaptive Slice Sampling (ASS) algorithm by Radford M. Neal (2003) <doi:10.1214/aos/1056562461>. So we designed an R package including mainly 4 functions: rARS(), rMARS(), rCCARS(), and rASS(). These functions can realize sampling based on the algorithms above.

For distributions whose probability density functions are log-concave, the adaptive rejection sampling algorithm can be used to build envelope functions for sampling. For others, we can use the modified adaptive rejection sampling algorithm, the concave-convex adaptive rejection sampling algorithm and the adaptive slice sampling algorithm. So we designed an R package mainly including 4 functions: rARS(), rMARS(), rCCARS() and rASS(). These functions can realize sampling based on the algorithms above.

Based on function "spm" of SemiPar package fits semiparametric regression models with spatially adaptive penalized splines.

Based on the function "spm" of the SemiPar package fits semiparametric regression models with spatially adaptive penalized splines.

Based on the function "spm" of the SemiPar package fits
semiparametric regression models with spatially adaptive
penalized splines.

Adaptive Semiparametric Regression with Simultaneous Confidence
Bands
Manuel Wiesenfarth and Tatyana Krivobokova
SemiPar, MASS, nlme, cluster, mgcv, splines
Based on the function "asp" of the AdaptFit package fits
semiparametric regression models with spatially adaptive
penalized splines and computes simultaneous confidence bands.