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inst/NEWS.md
In nimbleNoBounds: Transformed Distributions for Improved MCMC Efficiency
CHANGES IN VERSION 1.0.3 (November 2023)
USER LEVEL CHANGES
-- Bug fix in the vignette and clarification of back-transform in the dLogitUnif help file example.
CHANGES IN VERSION 1.0.2 (February 2023)
USER LEVEL CHANGES
-- Bug fix in rHalfflat. 'No' forces n=1, as everywhere else in nimble.
CHANGES IN VERSION 1.0.1 (May 2022)
USER LEVEL CHANGES
-- Modifications to examples in help files.
CHANGES IN VERSION 1.0.0 (March 2022)
USER LEVEL CHANGES
-- nimbleNoBounds contains 'd' and 'r' functions for a collection of transformed distributions.
-- The functions are names via the convention d[Transform][Distribution]. For example, the density function for the log transformed log-normal distribution is 'dLogLnorm'.
-- Available transformed density functions include: dLogChisq, dLogExp, dLogGamma, dLogHalfflat, dLogInvgamma, dLogLnorm, dLogWeib, dLogitBeta, dLogitUnif.
-- A vignette illustrates potential efficiency gains from sampling on the real line.
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nimbleNoBounds documentation built on June 22, 2024, 9:23 a.m.
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CHANGES IN VERSION 1.0.3 (November 2023)
USER LEVEL CHANGES -- Bug fix in the vignette and clarification of back-transform in the dLogitUnif help file example.
CHANGES IN VERSION 1.0.2 (February 2023)
USER LEVEL CHANGES -- Bug fix in rHalfflat. 'No' forces n=1, as everywhere else in nimble.
CHANGES IN VERSION 1.0.1 (May 2022)
USER LEVEL CHANGES -- Modifications to examples in help files.
CHANGES IN VERSION 1.0.0 (March 2022)
USER LEVEL CHANGES
-- nimbleNoBounds contains 'd' and 'r' functions for a collection of transformed distributions. -- The functions are names via the convention d[Transform][Distribution]. For example, the density function for the log transformed log-normal distribution is 'dLogLnorm'. -- Available transformed density functions include: dLogChisq, dLogExp, dLogGamma, dLogHalfflat, dLogInvgamma, dLogLnorm, dLogWeib, dLogitBeta, dLogitUnif. -- A vignette illustrates potential efficiency gains from sampling on the real line.
Try the nimbleNoBounds package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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