NEWS.md

In poweRlaw: Analysis of Heavy Tailed Distributions

Version 0.70.6

• Change scrpage2 to scrlayer-scrpage in vignettes. scrpage2 now obsolete.
• Removed unused Suggests.

Version 0.70.5

• Use pracma for calculating zeta(). VGAM may be getting archived.

Version 0.70.4

• As v0.70.3, but README URL tweaked for CRAN (www. -> https://www.)

Version 0.70.3

• 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.

Version 0.70.2

• 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).

Version 0.70.1

• Bug fix: Very rarely bootstrapping results in singular datasets.

Version 0.70.0

• 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.

Version 0.60.3

• Incorrect p-value for bootstrap_p (fixes #64). Thanks to @lsaravia for reporting.

Version 0.60.0

• 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.

Version 0.50.1 (not on CRAN)

• Bug fix: Export get_n in bootstrap_p. Fix for https://github.com/csgillespie/poweRlaw/issues/53. Thanks to @AnaCG for reporting.

Version 0.50.0

• 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.

Version 0.40.0 (not on CRAN)

• 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.

Version 0.30.2

• Bug fix: Plotting the data cdf failed when data values were larger than xmax (https://github.com/csgillespie/poweRlaw/issues/40). Thanks to @LaurentFranckx

Version 0.30.1

• Bug fix: pdf and cdf functions should now handle values of q less than xmin in a sensible way (Thanks to Pierce Brookss)

Version 0.30.0

• 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

Version 0.20.5

• Further changes to the tolerance in the test suite comparison (Solaris-sparc failed to build)

Version 0.20.4

• Added tolerance to test suite comparison (Solaris-sparc failed to build)
• Removed tufte vignette styles

Version 0.20.3

• 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.

Version 0.20.2

• 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.

Version 0.20.1

• Updated documentation
• Added swiss_prot data set
• Renamed NativeAmerican to native_american
• Renamed USAmerican to us_american
• Changed license to GPL-2 | GPL-3

Version 0.20.0

• Added discrete exponential function
• Added compare_distribution functions
• dist_pdf now have a log argument
• Updated documentation
• Bug fixes

Version 0.17.0

• Added discrete log normal, log normal and poisson distributions.
• Generic plot functions added for bootstrap output.
• Test suite.
• New examples vignette.
• Bug fixes

Version 0.16.1

• bootstrap_xmin now implements the procedure described in Clauset
• bootstrap_p estimates the p-value

Version 0.16.0

• 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

Version 0.15.2

• Generating discrete random numbers took up too much memory. Reduced the threshold for switching to the CTN PL distribution.

Version 0.15.1

• Bug fix in the lines and points function

Version 0.15.0

• Adding support for continuous power-laws

Version 0.14.4

• 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.

Version 0.14.3

• xmin now set to minimum value of x

Version 0.14.2

• Plots, lines and points functions now return the data using invisible
• Moved to parSapplyLB
• Added a bootstrap_moby data set.

Version 0.14.1

• Bug fix when calculating the bootstrapping p-value

Version 0.14

• Added explicit garbage collection call to the bootstrap routine to avoid memory issues.

Version 0.13

• Created the estimate_pars method - an mle estimate of the parameters.

Version 0.12

• Fixed bug when calculating the KS statistics
• Updated docs

Version 0.11

• Fixed bug in random number generator
• Updated docs

Version 0.1

• Initial release

poweRlaw documentation built on April 25, 2020, 9:06 a.m.