BAS 1.7.5

Version 1.7.5 of the BAS package adds an internal function to count the number of models
that satisfy "hereditary" constraints. This is used in the force.heredity option
in bas.lm to reduce the number of models considered in the sampling process and should
reduce the memory requirements and speed up the sampling process. This currently works only
for factors included in the model formula, but not with factors always included in the model
orwith other hereditaty constraints such as with polynomials. (theforce.heredity option
does work with these other constraints). This is a first step in reducing the number of models
allocated in the sampling process. Future updates will include other hereditary constraints.

BAS 1.7.3

BAS 1.7.3 introduces a new Independent Adaptive MCMC algorithm for bas.lm that can be used a proposal distribution for sampling models with replacement and estimation of posterior model probabilities via Importance sampling and Horvitz-Thomposon estimators and their Bayesian Finite Population estimators. See details in bas.lm with `method="AMCMC".

BAS_1.7.3.tar.gz

BAS 1.7.2

Updated package provides a new adaptive independent MCMC sampler that allows more accurate estimates of model probabilities and other quantities using the Horvitz-Thompson estimator and Bayesian analogs for finite population sampling

Full Changelog: v1.7.1...v1.7.2

BAS 1.7.1

Minor Improvements and Fixes

• Initialized vector se via memset and disp = 1.0 in fit_glm.c (issue #72)

• Initialized variables in hyp1f1.c from testthat (issue #75)

• Removed models that have zero prior probability in bas.lm and bas.glm (issue #74)

• Fixed error in bayesglm.fit to check arguments x or y for correct type before calling C and added unit test (issue #67)

BAS 1.6.6

New Features

• Added support for Gamma regression for bas.glm, with unit tests and
  example (Code contributed by @betsyberrson)

Minor Improvements and Fixes

• added error if supplied initial model for the bas.lm sampling methods "MCMC" and "MCMC+BAS" had prior probability zero.

• fixed printing problems as identified via checks

• fixed indexing error for bas.lm and method = "MCMC+BAS" as bas.lm using method = "MCMC+BAS" crashed with a segmentation fault if bestmodel is not NULL or the null model. GitHub issue #69

• fixed error in predict.bas with se.fit=TRUE if there is only one predictor. GitHub issue #68 reported by @AleCarminati
  added unit test to test-predict.R

• Fixed error in coef for bas.glm objects when using a betaprior of class
  IC, including AIC and BIC Github issue #65

• Fixed error when using Jeffreys prior in bas.glm with the
  include.always option and added unit test in test-bas-glm.R.
  Github issue #61

• Fixed error for extracting coefficients from the median probability model
  when a formula is passed as an object rather than a literal, and added
  a unit test to test-coefficients.R Github issues #39 and #56

v1.6.4

Latest release for CRAN

BAS version 1.6.2

Release for updates with R 4.2.0

Major change is improved behavior for CCH and related priors in bas.glm that use the phi1 function. Alternative formulations for computing the marginal likelihoods show add improved stability and eliminate/reduce NA and Inf in computations as reported in Issue #55

BAS version 1.6.0

Changes

• update Fortran code to be compliant with USE_FC_LEN_T for character strings

Bug Fixes

• fixed warning in src code for log_laplace_F21 which had an uninitialized variable
  leading to NaN being returned from R function hypergeometric2F1

BAS Version 1.5.5

This version of the package provides some minor bug fixes and addresses some memory issues identified in CRAN checks.

• Changed the default in bas.lm and bas.glm to force.heredity=FALSE (triggered by errors with Solaris).

• Modified prior probabilities to adjust for the number of variables always
  included when using include.always. Pull request #41 by Don van de Bergh. Issue #40

• Added contrast=NULL argument to bas.lm and bas.glm so that non-NULL contrasts do not
  trigger warning in model.matrix as of R 3.6.0. Bug #44

• Added check for sample size equal to zero due to subsetting or missing data
  Bug #37

BAS Version 1.5.3

This release fixes errors identified on CRAN for fedora with clang (there are still remaining problems with debian/clang and solaris)

Bug Fixes

Fixed errors identified on cran checks https://cran.r-project.org/web/checks/check_results_BAS.html

• initialize R2_m = 0.0 in lm_mcmcbas.c (lead to NA's with clang on debian and fedora )

• switch to default of pivot = TRUE in bas.lm, adding tol as an argument to control tolerance in cholregpovot for improved stability across platforms with singular or nearly singular designs.

• valgrind messages: Conditional jump or move depends on uninitialised value(s). Initialize vectors allocated via R_alloc in lm_deterministic.c and glm_deterministic.c.