NEWS

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spikeslab 1.1.6 (2022-04-26)

BUILD: bld20220426

CHANGES TO RELEASE 1.1.6

o CRAN compliance update

CHANGES TO RELEASE 1.1.4

o This build corrects a long-standing numerical issue with the BMA

that can occur under certain atypical settings

CHANGES TO RELEASE 1.1.3

o improved interconnectivity between user functions. Enhancements to cv.spikeslab

o compression of data files

spikeslab 1.1.2 (2010-10-29)

• minor fixes to R-side wrapper, adjustments to packaging, and documentation. CHANGES TO RELEASE 1.1.0

spikeslab 1.1.0 (2010-06-15)

• cv.spikeslab() now takes advantage of the CRAN package "snow". It allows users to create a socket cluser on the local machine, enabling parallel execution of this function. It scales with the number of CPU cores on the local machine. CHANGES TO RELEASE 1.0.3
• minor fixes to R-side wrapper, adjustments to packaging, and documentation. CHANGES TO RELEASE 1.0.2
• minor adjustments to packaging CHANGES TO RELEASE 1.0.1
• minor adjustments to the R-side wrappers and documentation CHANGES TO RELEASE 1.0.0

spikeslab 1.0.0 (2010-03-17)

Fits a rescaled spike and slab model using a continuous bimodal

prior. Can be used for prediction and variable selection in low and

high-dimensional linear regression models

Key features include

o Option for ultra-fast handling of high-dimensional data

o Variable selection using the generalized elastic net (gnet

o Grouping of variables with unique regularization (no limit on the number

o Predict wrapper for predicting on test data

o Sparse PC approach for multiclass analysis of gene expression data

o Depends on the randomForest and lars R-packages