singleRcapture version 0.2.1

GitHub releases should now be more frequent.

Changes from each particular update from last GitHub release:

singleRcapture 0.2.1

• 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

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 -- NTTS

• 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 cammelCase
  • 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

Full Changelog: v0.1.0...0.2.1