NEWS
singleRcapture 1.1.0
- Fixing CRAN errors.
- Added standalone
ratioReg() support for weighted ratio regression,
optional one-inflation model selection, bootstrap intervals, and
diagnostic plots.
- Added the
oichao() family, a modified Chao estimator based on
counts 2 and 3 for improved robustness to one-inflation.
- Updated rare-count-family simulation support so
oichao() works
correctly through the public simulate() methods.
- Updated README and package documentation to describe the new
oichao() model.
ratioReg(): fixed subset so that bare expressions like
subset = grp == "a" evaluate inside data as documented.ratioReg(): fixed bootstrap with model = "M0" or model = "M1",
which previously errored because the primary population estimate
was not yet attached when resampling started.- Expanded test coverage for
oichao() (mu, variance, density, deviance
residuals, analytic population variance) and for ratioReg()
(validation paths, maxCount, subset, alternative estimators,
extractAIC/nobs, custom ratioFormula, fixed-model bootstrap).
- Split family tests into dedicated
test_fam_* files and added
focused family files for chao() and oichao() to make CI failures
identify the affected model directly.
Cyprian Jurkowski contributed the first implementations of
oichao() and ratioReg().
singleRcapture 1.0.1
- fixed checks of the variables
singleRcapture 1.0.0 (2026-01-21)
- Fixed mixed up
ztoi* and oizt* families
- Fixed documentation for the
estimatePopsize() function
- Fixed vignette
- Fixed README.Rmd
- Logo added [thanks to Oliwia Awuku]
- A
CITATION file added with reference to the JSS paper
singleRcapture 0.2.3 (2025-02-13)
- BugFix for anova and other not working methods
- Tests for not working methods added
- Small changes to the documentation
singleRcapture 0.2.2 (2025-02-04)
- Fixing documentation typos and errors
plot now has a default value of qq- Vignette added based on the paper submitted to the JSS
singleRcapture 0.2.1.2 (2024-07-18)
- Bugfix for interaction terms in formula not being considered
- Small changes in summary for marginal count distributions
- Small fixes for standard errors in predicted means
- Code coverage raised to nearly 90%
- The
logLik.singleRStaticCountData method now has a type argument
that, if set to "function" makes the function return the minus
log-likelihood function (by default) or if deriv argument is set
to 1 or 2 respectively either a gradient or hessian of
log-likelihood function.
singleRcapture 0.2.1.1 (2023-10-23)
- Bugfix for tests failing with
noLongDouble
singleRcapture 0.2.1 (2023-10-14)
- Fixed bugs in
IRLS fitting when providing weights argument when
calling estimatePopsize
- The
weightsAsCounts option in controlModel now works properly,
dfbeta and dfpopsize decrease weight of selected row in a model
matrix instead of deleting it when this is set to TRUE
simulate method now works for both family object (like
ztpoisson()) and for objects returned by estimatePopsize- Introduced
singleRStaticCountData sub class for singleRclass and
made estimatePopsize a method so that a new package
singleRcaptureExtra (under development) can make all necessary
calculations for pop size estimation when providing object fitted by
countreg::zerotrunc or VGAM::vglm/VGAM::vgam
- Some bugfixes for multicore bootstrap
- Code was re-factored to make further development/maintenance for the
package much easier
- Update will be uploaded to
CRAN
semiparametric bootstrap now has a much faster sampling algorithm
(that does the same job)
Unit tests: * Reduced computational burden of unit tests * Multicore
tests will only be performed after
TEST_SINGLERCAPTURE_MULTICORE_DEVELOPER is set to "true" via
Sys.setenv and _R_CHECK_LIMIT_CORES_ to false
singleRcapture 0.2.0.1
- Added
offset argument to estimatePopsize
- Added options for parallel computing in
bootstrap and in dfbeta
- Added deviance for all negative binomial based models. (NOTE: They
are very slow for now and I believe it may change after I verify one
theoretical results that will lead to significant speed increase for
these computations)
- Overhaul of starting points (new methods and added linear predictors
start in
IRLS)
- Code for weights in
IRLS fitting was speed up
- Minor bugfixes
singleRcapture 0.2.0 (2023-06-11)
The package is now at CRAN
- features and improvements:
- Added final
Hurdleztnegbin model
- Vastly improved
redoPopSize which now handles bootstrap on a
fitted model non standard covariance matrixes newdata argument
user supplied coef etc.
- Added
predict.singleR method which offers standard error for
both link, response as well as mean predictions
- No unexpected warnings should occur now in main function when
using the package correctly
- All control arguments are now verified before being passed
- Fitting is now more reliable
- Added information about
stats::optim error codes
- Added warnings for functions computing deviance
- bugfixes:
- fixed bugs occurring when using mathematical functions as part
of formulas i.e. when setting formula to something like:
y ~ log(x) + I(x ^ t) + I(t ^ 2)
singleRcapture 0.1.4
- features
- Added
ztoinegbin, oiztnegbin and ztHurdlenegbin models
- Added an optional arguments to all family-functions to specify a
link function for distribution parameters
- Updated and standardized documentation
- Added more warnings
- Added some more methods for
singleR class in some commonly
used glm functions, in particular texreg::screenreg should
work well now
- changes
- Changed some default arguments
- Added option to save logs from
IRLS fitting
- bugfixes
- Fixed some issues with intercept only models
- Fixed some slight miscalculations in information matrixes for
one inflated models making fitting them much more reliable
- github repository
- More and better
Rcmd tests
singleRcapture 0.1.3.2
- features:
- Added function that implements population size estimates for
stratas
- More warnings in fitting
- More options in control functions
- Corrected/implemented deviance residuals for more models
- changes:
- Now the whole package uses
camelCase
- Performance upgrades
- Corrected some miss calculated moments
- Change exported data so that factors are actually factors not
just characters
- Removed unused dependency
- github repository
- Added automated
R-cmd check
singleRcapture 0.1.3.1
- features:
- Basically all of documentation was redone and now features most
of important theory on SSCR methods and some information on
(v)glms
- Added checks on positivity of working weights matrixes to
stabilise
"IRLS" algorithm
- Added most of sandwich capabilities to the package, in
particular:
- S3 method for
vcovHC was implemented
vcovCL should work on singleR class objects should work
with "HC0" and "HC1" type argument values
- Basic version of function
redoPopEstimation for updating the
population size estimation after post-hoc procedures was
implemented
popSizeEst function for extracting population size estimation
results was implemented- Minor improvements to memory usage were made and computation was
speed up a little
- Changed names of mle and robust fitting methods to optim and
IRLS respectively
- Some bugfixes
- More warnings messages in
estimate_popsize.fit
singleRcapture 0.1.3
- features:
- Multiple new models
IRLS generalised for distributions with multiple parameters- bugfixes
- QOL improvements
- extended bootstrap and most other methods for new models
singleRcapture 0.1.2
- features:
- control parameters for model
- control parameters for regression in bootstrap sampling
- leave one out diagnostics for popsize and regression parameters
(
dfbetas were corrected)
- fixes for Goodness of fit tests in zero one truncated models
- computational improvements in
IRLS
- other small bugfixes
singleRcapture 0.1.1
- bug fixes and some of the promised features for 0.2.0 in particular
- More tiny tests
- Some fixes for marginal frequencies
- Deviance implemented
- dfbetas and levarage matrix
- Parametric bootstraps work correctly for the most part there is
just some polishing left to do
singleRcapture 0.1.0
- first version of the package released