- fix: Catch extreme tail situations for lognormal distribution #88.
- fix: Package engine in vignette
- fix: Some linting

- Change
`scrpage2`

to`scrlayer-scrpage`

in vignettes.`scrpage2`

now obsolete. - Removed unused
`Suggests`

.

- Use
`pracma`

for calculating`zeta()`

.`VGAM`

may 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 = NULL`

could 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 https://github.com/csgillespie/poweRlaw/issues/60. Thanks to @lsaravia for reporting.
- Added in the Weibull distribution. Fix for https://github.com/csgillespie/poweRlaw/issues/57.

- Bug fix: Export get_n in bootstrap_p. Fix for https://github.com/csgillespie/poweRlaw/issues/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 (https://github.com/csgillespie/poweRlaw/issues/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_# poweRlaw 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`

(https://github.com/csgillespie/poweRlaw/issues/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 (https://github.com/csgillespie/poweRlaw/issues/32)
- Added seed argument to bootstrap and bootstrap_p functions
- Added warning message to handle estimation in tail regions (https://github.com/csgillespie/poweRlaw/issues/31)
- Bug fix: Bootstrap edge cases (https://github.com/csgillespie/poweRlaw/issues/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 (https://github.com/csgillespie/poweRlaw/issues/21)
- Merged data_max and xmins argument in estimate_xmin function
- Added example on copying distribution objects (https://github.com/csgillespie/poweRlaw/issues/9)
- Added new vignette on comparing distributions (https://github.com/csgillespie/poweRlaw/issues/8)
- Bug fix: When estimating xmin is not possible (e.g. not enough data), estimate_xmin now returns NA rather than an error (https://github.com/csgillespie/poweRlaw/issues/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 (https://github.com/csgillespie/poweRlaw/issues/20). Thanks to @linzhp
- Bug fix: Generating random numbers for the discrete power-law distribution wasn’t quite right for small x values. (https://github.com/csgillespie/poweRlaw/issues/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 (https://github.com/csgillespie/poweRlaw/issues/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 # poweRlaws.
- 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