NEWS | R Documentation |
News for Package RcppSMC
Changes in RcppSMC version 0.2.7 (2023-03-22)
Extensive extensions for conditional SMC and resample, updated
hello_world
example, added skeleton function for easier package creation (Ilya in #67,#72)
Changes in RcppSMC version 0.2.6 (2021-12-17)
Updated URLs to JSS for the new DOI scheme upon their request
Adjusted three source files for C++17 compilation under g++-11
Changes in RcppSMC version 0.2.5 (2021-09-09)
Changes in RcppSMC version 0.2.4 (2021-09-01)
Multiple Sequential Monte Carlo extensions (Ilya Zarubin as part of Google Summer of Code 2021)
Add URL and BugReports to DESCRIPTION (Dirk in #53)
Changes in RcppSMC version 0.2.3 (2021-02-10)
Addition of a Github Action CI runner (Dirk)
Switching to inheritance for the moveset rather than pointers to functions (Leah in #45).
Changes in RcppSMC version 0.2.2 (2020-08-30)
Package helper files
.editorconfig
added (Adam in #43).Change const correctness and add return (Leah in #44).
Updates to continuous integration and R versions used (Dirk)
Accomodate CRAN request, other updates to CRAN Policy (Dirk in #49 fixing #48).
Changes in RcppSMC version 0.2.1 (2018-03-18)
The sampler now has a copy constructor and assignment overload (Brian Ni in #28).
The SMC library component can now be used in header-only mode (Martin Lysy in #29).
Plugin support was added for use via
cppFunction()
and other Rcpp Attributes (or inline functions (Dirk #30).The sampler copy ctor/assigment operator is now copy-constructor safe (Martin Lysy In #32).
A bug in state variance calculation was corrected (Adam in #36 addressing #34).
History getter methods are now more user-friendly (Tiberiu Lepadatu in #37).
Use of
pow
with atomic types was disambiguated tostd::pow
) to help the Solaris compiler (Dirk in #42).
Changes in RcppSMC version 0.2.0 (2017-08-28)
Also use
.registration=TRUE
inuseDynLib
inNAMESPACE
Multiple Sequential Monte Carlo extensions (Leah South as part of Google Summer of Code 2017)
Using Rcpp attributes (#2).
Adding multiple normalising constant estimators (#7).
Static Bayesian model example: linear regression (#10 addressing #9).
Framework for additional algorithm parameters and adaptation (#19 addressing #16; also #24 addressing #23).
Common adaptation methods for static Bayesian models (#20 addressing #17).
Supporting MCMC repeated runs (#21).
Adding adaptation to linear regression example (#22 addressing #18).
Changes in RcppSMC version 0.1.5 (2017-03-03)
Correct
.Call
to usePACKAGE=
argument-
DESCRIPTION
,NAMESPACE
,README.md
changes to comply with currentR CMD check
levels Added file
init.c
with calls toR_registerRoutines()
and R_useDynamicSymbols()
Updated
.travis.yml
file for continuous integration
Changes in RcppSMC version 0.1.4 (2014-05-02)
Added missing delete operator to destructor in
sampler
Changes in RcppSMC version 0.1.3 (2014-05-01)
Bugfix in
Sampler.iterate()
for memory overrun detected by valgrind
Changes in RcppSMC version 0.1.2 (2014-02-06)
Updated for Rcpp 0.11.0 with explicit
importFrom
inNAMESPACE
and corresponding versionedImports:
inDESCRIPTION
; also removed linking instruction fromsrc/Makevars
as no it is longer needed with this new Rcpp versionAddded GitHub / Travis CI support
Use more portable
dev.new()
rather thanx11()
inpfLinearBS.R
Applied some corrections to
pfNonlinBS.R
exampleConverted
NEWS
toNEWS.Rd
Changes in RcppSMC version 0.1.1 (2012-05-14)
Minor
g++-4.7
build fix of usingstd::max()
explicitly
Changes in RcppSMC version 0.1.0 (2012-03-21)
Version 0.1.0 and initial CRAN upload