- Catch extreme tail situations for lognormal distribution #88.
- Change
scrpage2toscrlayer-scrpagein vignettes.scrpage2now obsolete. - Removed unused
Suggests.
- Use
pracmafor calculatingzeta().VGAMmay be getting archived.
- As v0.70.3, but README URL tweaked for CRAN (www. -> https://www.)
- Fix typo in file name.
- Better handling of extreme data.
- Bug fix: Setting
seed = NULLcould lead to repeatable random numbers. This is now avoided. - Bug fix: Set correct lower bound for weibull optimiser
- Retrieve simulations via
get_*_sims()functions. - Indicate when we have values of x larger than xmax.
- Bug fix: Input and output of dpldis should be the same (thanks to @mpadge #73).
- Optimisation: Used the compressed data for ll calculations in lognormal (thanks to @maxbiostat #80).
- Bug fix: Very rarely bootstrapping results in singular datasets.
- Update documentation
- Bug fix: 1 sided p-value for Vuong's.
- Now pass a matrix of parameters when estimating xmin (fixes #68). Used for lognormal distribution.
- Incorrect p-value for bootstrap_p (fixes #64). Thanks to @lsaravia for reporting.
- New distance argument for estimate_xmin and bootstrap functions. No longer limited to the KS distance measure.
- Better error handling in the bootstrap function. Fix for #60. Thanks to @lsaravia for reporting.
- Added in the Weibull distribution. Fix for #57.
- Bug fix: Export get_n in bootstrap_p. Fix for #53. Thanks to @AnaCG for reporting.
- Added get_ntail function which returns the number of points greater than or equal to xmin.
- Added get_n function which returns the sample size.
- Bug fix: bootstrap_p was incorrect for CTN models (#52). Thanks to @lsaravia for reporting and diagnosing the problem.
- Add ByteCompile flag. Testing suggests that bootstrapping is now around twice as fast.
- Added seed and package_version to the output of bootstrap and bootstrap_p.
- Added poisson random number generator.
- Bug fix: Plotting the data cdf failed when data values were larger than
xmax(#40). Thanks to @LaurentFranckx
- Bug fix: pdf and cdf functions should now handle values of q less than xmin in a sensible way (Thanks to Pierce Brookss)
- New package title to satisfy CRAN
- A new xmax argument has been added to the bootstrap and estimate_xmin functions. This argument limits the search space when calculating the KS statistic.
- The all_values argument has been removed from dist_cdf. A new function dist_all_cdf has been created.
- Added random number generators for log normal and exponential functions (#32)
- Added seed argument to bootstrap and bootstrap_p functions
- Added warning message to handle estimation in tail regions (#31)
- Bug fix: Bootstrap edge cases (#29) @jkeirstead
- Further changes to the tolerance in the test suite comparison (Solaris-sparc failed to build)
- Added tolerance to test suite comparison (Solaris-sparc failed to build)
- Removed tufte vignette styles
- Test suite now included in the package
- Improved numerical stability when working out discrete exp and log normal pdfs (#21)
- Merged data_max and xmins argument in estimate_xmin function
- Added example on copying distribution objects (#9)
- Added new vignette on comparing distributions (#8)
- Bug fix: When estimating xmin is not possible (e.g. not enough data), estimate_xmin now returns NA rather than an error (#25)
- Bug fix: When setting parameters in distributions, no longer a strict class comparison
- Bug fix: Error when the length of xmins is 1 in estimate_xmin (#20). Thanks to @linzhp
- Bug fix: Generating random numbers for the discrete power-law distribution wasn't quite right for small x values. (#24). Thanks to @wrhaas.
- Discrete power-law mle now uses L-BFGS-B optimiser by default
- Vignette source now included within the package
- Bug fix in lines methods
- Bug fix: use data_max argument in estimate_xmin (#13) Thanks to @pgoldberg.
- Updated documentation
- Added swiss_prot data set
- Renamed NativeAmerican to native_american
- Renamed USAmerican to us_american
- Changed license to GPL-2 | GPL-3
- Added discrete exponential function
- Added compare_distribution functions
- dist_pdf now have a log argument
- Updated documentation
- Bug fixes
- Added discrete log normal, log normal and poisson distributions.
- Generic plot functions added for bootstrap output.
- Test suite.
- New examples vignette.
- Bug fixes
- bootstrap_xmin now implements the procedure described in Clauset
- bootstrap_p estimates the p-value
- Added dist_data_cdf_function
- Can now plot the entire data line and add distribution lines starting at xmin
- Added vignette
- Improved documentation
- Deprecated pl_data data class
- Generating discrete random numbers took up too much memory. Reduced the threshold for switching to the CTN PL distribution.
- Bug fix in the lines and points function
- Adding support for continuous power-laws
- No visible changes - preparing for future R versions.
- Added discrete_xmax parameter to the discrete random number generator. This parameter controls where we change from using a (true) discrete random number generator to a CTN approximation.
- xmin now set to minimum value of x
- Plots, lines and points functions now return the data using invisible
- Moved to parSapplyLB
- Added a bootstrap_moby data set.
- Bug fix when calculating the bootstrapping p-value
- Added explicit garbage collection call to the bootstrap routine to avoid memory issues.
- Created the estimate_pars method - an mle estimate of the parameters.
- Fixed bug when calculating the KS statistics
- Updated docs
- Fixed bug in random number generator
- Updated docs
- Initial release