Changes and New Features in 1.5 (2023-01-06): * streamlining the interface to nft2/nft/tsvs2/tsvs * for code maintainability, nft is just a wrapper of nft2 (and predict.nft is just a wrapper of predict.nft2) * for non-FPD scenarios, calculate lower/upper just like FPD * harden bMM for P=1 Changes and New Features in 1.4 (2022-08-25): * New option: mask unstable sd(.) estimates to calculate soffset * Use hardened DPM LIO variance prior setting * Return both the LPML and the CPO * add bMM (a la bartModelMatrix) to compute dummies/etc. * predict produces draws from the predictive distribution of log t to facilitate C index calculations * predict.aftree provided for producing survival/pdf/hazard function estimates (or their Friedman's partial dependence estimates if requested) for AFT BART like predict.nft does for NFT BART also draws from the predictive distribution of log t (as above) * experimental support for differing X matrices for f and sd see nft2 function * Thompson Sampling Variable Selection functions tsvs for the same X matrix and tsvs2 for two different matrices * new function bMM() to replace the deprecated bartModelMatrix() * new function Cindex() to compute Harrell's C-index Changes and New Features in 1.3 (2022-03-26): * Trap error code returned from rcat Changes and New Features in 1.2 (2022-02-01): * Allow DPM LIO parameters to be altered for debugging/sensitivity analysis * Return inital AFT fit Changes and New Features in 1.1 (2021-12-17): * Fix documentation bug Changes and New Features in 1.0 (2021-12-16): * First release after almost 3 years of testing