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Issues closed in the 0.5.0 development cycle

Issued closed in 0.5.0

GitHub stats for release 0.5.0 (07/02/2012/ - 08/14/2013/).

We closed a total of 380 issues, 172 pull requests and 208 regular issues. This is the full list (generated with the script tools/github_stats.py):

This list is automatically generated, and may be incomplete:

Pull Requests (172):

  • PR #1015: DOC: Bump version. Remove done tasks.
  • PR #1010: DOC/RLS: Update release notes workflow. Help Needed!
  • PR #1014: DOC: nbgenerate does not like the comment at end of line.
  • PR #1012: DOC: Add link to notebook and crosslink ref. Closes #924.
  • PR #997: misc, tests, diagnostic
  • PR #1009: MAINT: Add .mailmap file.
  • PR #817: Add 3 new unit tests for arima_process
  • PR #1001: BUG include_package_data for install closes #907
  • PR #1005: GITHUB: Contributing guidlines
  • PR #1007: Cleanup docs for release
  • PR #1003: BUG: Workaround for bug in sphinx 1.1.3. See #1002.
  • PR #1004: DOC: Update maintainer notes with branching instructions.
  • PR #1000: BUG: Support pandas 0.8.0.
  • PR #996: BUG: Handle combo of pandas 0.8.0 and dateutils 1.5.0
  • PR #995: ENH: Print dateutil version.
  • PR #994: ENH: Fail gracefully for version not found.
  • PR #993: More conservative error catching in TimeSeriesModel
  • PR #992: Misc fixes 12: adjustments to unit test
  • PR #985: MAINT: Print versions script.
  • PR #986: ENH: Prefer to_offset to get_offset. Closes #964.
  • PR #984: COMPAT: Pandas 0.8.1 compatibility. Closes #983.
  • PR #982: Misc fixes 11
  • PR #978: TST: generic mle pareto disable bsejac tests with estimated loc
  • PR #977: BUG python 3.3 fix for numpy str TypeError, see #633
  • PR #975: Misc fixes 10 numdiff
  • PR #970: BUG: array too long, raises exception with newer numpy closes #967
  • PR #965: Vincent summary2 rebased
  • PR #933: Update and improve GenericlikelihoodModel and miscmodels
  • PR #950: BUG/REF mcnemar fix exact pvalue, allow table as input
  • PR #951: Pylint emplike formula genmod
  • PR #956: Fix a docstring in KDEMultivariateConditional.
  • PR #949: BUG fix lowess sort when nans closes #946
  • PR #932: ENH: support basinhopping solver in LikelihoodModel.fit()
  • PR #927: DOC: clearer minimal example
  • PR #919: Ols summary crash
  • PR #918: Fixes10 emplike lowess
  • PR #909: Bugs in GLM pvalues, more tests, pylint
  • PR #906: ENH: No fmax with Windows SDK so define inline.
  • PR #905: MAINT more fixes
  • PR #898: Misc fixes 7
  • PR #896: Quantreg rebase2
  • PR #895: Fixes issue #832
  • PR #893: ENH: Remove unneeded restriction on low. Closes #867.
  • PR #894: MAINT: Remove broken function. Keep deprecation. Closes #781.
  • PR #856: Carljv improved lowess rebased2
  • PR #884: Pyflakes cleanup
  • PR #887: BUG: Fix kde caching
  • PR #883: Fixed pyflakes issue in discrete module
  • PR #882: Update predstd.py
  • PR #871: Update of sandbox doc
  • PR #631: WIP: Correlation positive semi definite
  • PR #857: BLD: apt get dependencies from Neurodebian, whitespace cleanup
  • PR #855: AnaMP issue 783 mixture rvs tests rebased
  • PR #854: Enrico multinear rebased
  • PR #849: Tyler tukeyhsd rebased
  • PR #848: BLD TravisCI use python-dateutil package
  • PR #784: Misc07 cleanup multipletesting and proportions
  • PR #841: ENH: Add load function to main API. Closes #840.
  • PR #820: Ensure that tuples are not considered as data, not as data containers
  • PR #822: DOC: Update for Cython changes.
  • PR #765: Fix build issues
  • PR #800: Automatically generate output from notebooks
  • PR #802: BUG: Use two- not one-sided t-test in t_test. Closes #740.
  • PR #806: ENH: Import formula.api in statsmodels.api namespace.
  • PR #803: ENH: Fix arima error message for bad start_params
  • PR #801: DOC: Fix ANOVA section titles
  • PR #795: Negative Binomial Rebased
  • PR #787: Origintests
  • PR #794: ENH: Allow pandas-in/pandas-out in tsa.filters
  • PR #791: Github stats for release notes
  • PR #779: added np.asarray call to durbin_watson in stattools
  • PR #772: Anova docs
  • PR #776: BUG: Fix dates_from_range with length. Closes #775.
  • PR #774: BUG: Attach prediction start date in AR. Closes #773.
  • PR #767: MAINT: Remove use of deprecated from examples and docs.
  • PR #762: ENH: Add new residuals to wrapper
  • PR #754: Fix arima predict
  • PR #760: ENH: Adjust for k_trend in information criteria. Closes #324.
  • PR #761: ENH: Fixes and tests sign_test. Closes #642.
  • PR #759: Fix 236
  • PR #758: DOC: Update VAR docs. Closes #537.
  • PR #752: Discrete cleanup
  • PR #750: VAR with 1d array
  • PR #748: Remove reference to new_t_test and new_f_test.
  • PR #739: DOC: Remove outdated note in docstring
  • PR #732: BLD: Check for patsy dependency at build time + docs
  • PR #731: Handle wrapped
  • PR #730: Fix opt fulloutput
  • PR #729: Get rid of warnings in docs build
  • PR #698: update url for hsb2 dataset
  • PR #727: DOC: Fix indent and add missing params to linear models. Closes #709.
  • PR #726: CLN: Remove unused method. Closes #694
  • PR #725: BUG: Should call anova_single. Closes #702.
  • PR #723: Rootfinding for Power
  • PR #722: Handle pandas.Series with names in make_lags
  • PR #714: Fix 712
  • PR #668: Allow for any pandas frequency to be used in TimeSeriesModel.
  • PR #711: Misc06 - bug fixes
  • PR #708: BUG: Fix one regressor case for conf_int. Closes #706.
  • PR #700: Bugs rebased
  • PR #680: BUG: Swap arguments in fftconvolve for scipy >= 0.12.0
  • PR #640: Misc fixes 05
  • PR #663: a typo in runs.py doc string for mcnemar test
  • PR #652: WIP: fixing pyflakes / pep8, trying to improve readability
  • PR #619: DOC: intro to formulas
  • PR #648: BF: Make RLM stick to Huber’s description
  • PR #649: Bug Fix
  • PR #637: Pyflakes cleanup
  • PR #634: VAR DOC typo
  • PR #623: Slowtests
  • PR #621: MAINT: in setup.py, only catch ImportError for pandas.
  • PR #590: Cleanup test output
  • PR #591: Interrater agreement and reliability measures
  • PR #618: Docs fix the main warnings and errors during sphinx build
  • PR #610: nonparametric examples and some fixes
  • PR #578: Fix 577
  • PR #575: MNT: Remove deprecated scikits namespace
  • PR #499: WIP: Handle constant
  • PR #567: Remove deprecated
  • PR #571: Dataset docs
  • PR #561: Grab rdatasets
  • PR #570: DOC: Fixed links to Rdatasets
  • PR #524: DOC: Clean up discrete model documentation.
  • PR #506: ENH: Re-use effects if model fit with QR
  • PR #556: WIP: L1 doc fix
  • PR #564: TST: Use native integer to avoid issues in dtype asserts
  • PR #543: Travis CI using M.Brett nipy hack
  • PR #558: Plot cleanup
  • PR #541: Replace pandas DataMatrix with DataFrame
  • PR #534: Stata test fixes
  • PR #532: Compat 323
  • PR #531: DOC: Add ECDF to distributions docs
  • PR #526: ENH: Add class to write Stata binary dta files
  • PR #521: DOC: Add abline plot to docs
  • PR #518: Small fixes: interaction_plot
  • PR #508: ENH: Avoid taking cholesky decomposition of diagonal matrix
  • PR #509: DOC: Add ARIMA to docs
  • PR #510: DOC: realdpi is disposable personal income. Closes #394.
  • PR #507: ENH: Protect numdifftools import. Closes #45
  • PR #504: Fix weights
  • PR #498: DOC: Add patys requirement to install docs
  • PR #491: Make _data a public attribute.
  • PR #494: DOC: Fix pandas links
  • PR #492: added intersphinx for pandas
  • PR #422: Handle missing data
  • PR #485: ENH: Improve error message for pandas objects without dates in index
  • PR #428: Remove other data
  • PR #483: Arima predict bug
  • PR #482: TST: Do array-array comparison when using numpy.testing
  • PR #471: Formula rename df -> data
  • PR #473: Vincent docs tweak rebased
  • PR #468: Docs 050
  • PR #462: El aft rebased
  • PR #461: TST: numpy 1.5.1 compatibility
  • PR #460: Emplike desc reg rebase
  • PR #410: Discrete model marginal effects
  • PR #417: Numdiff cleanup
  • PR #398: Improved plot_corr and plot_corr_grid functions.
  • PR #401: BUG: Finish refactoring margeff for dummy. Closes #399.
  • PR #400: MAINT: remove lowess.py, which was kept in 0.4.x for backwards compatibi...
  • PR #371: BF+TEST: fixes, checks and tests for isestimable
  • PR #351: ENH: Copy diagonal before write for upcoming numpy changes
  • PR #384: REF: Move mixture_rvs out of sandbox.
  • PR #368: ENH: Add polished version of acf/pacf plots with confidence intervals
  • PR #378: Infer freq
  • PR #374: ENH: Add Fair’s extramarital affair dataset. From tobit-model branch.
  • PR #358: ENH: Add method to OLSResults for outlier detection
  • PR #369: ENH: allow predict to pass through patsy for transforms
  • PR #352: Formula integration rebased
  • PR #360: REF: Deprecate order in fit and move to ARMA init
  • PR #366: Version fixes
  • PR #359: DOC: Fix sphinx warnings

Issues (208):

  • #1036: Series no longer inherits from ndarray
  • #1038: DataFrame with integer names not handled in ARIMA
  • #1028: Test fail with windows and Anaconda - Low priority
  • #676: acorr_breush_godfrey undefined nlags
  • #922: lowess returns inconsistent with option
  • #425: no bse in robust with norm=TrimmedMean
  • #1025: add_constant incorrectly detects constant column
  • #533: py3 compatibility pandas.read_csv(urlopen(...))
  • #662: doc: install instruction: explicit about removing scikits.statsmodels
  • #910: test failure Ubuntu TestARMLEConstant.test_dynamic_predict
  • #80: t_model: f_test, t_test don’t work
  • #432: GenericLikelihoodModel change default for score and hessian
  • #454: BUG/ENH: HuberScale instance is not used, allow user defined scale estimator
  • #98: check connection or connect summary to variable names in wrappers
  • #418: BUG: MNLogit loglikeobs, jac
  • #1017: nosetests warnings
  • #924: DOCS link in notebooks to notebook for download
  • #1011: power ttest endless loop possible
  • #907: BLD data_files for stats.libqsturng
  • #328: consider moving example scripts into IPython notebooks
  • #1002: Docs won’t build with Sphinx 1.1.3
  • #69: Make methods like compare_ftest work with wrappers
  • #503: summary_old in RegressionResults
  • #991: TST precision of normal_power
  • #945: Installing statsmodels from github?
  • #964: Prefer to_offset not get_offset in tsa stuff
  • #983: bug: pandas 0.8.1 incompatibility
  • #899: build_ext inplace doesn’t cythonize
  • #923: location of initialization code
  • #980: auto lag selection in S_hac_simple
  • #968: genericMLE Ubuntu test failure
  • #633: python 3.3 compatibility
  • #728: test failure for solve_power with fsolve
  • #971: numdiff test cases
  • #976: VAR Model does not work in 1D
  • #972: numdiff: epsilon has no minimum value
  • #967: lowes test failure Ubuntu
  • #948: nonparametric tests: mcnemar, cochranq unit test
  • #963: BUG in runstest_2sample
  • #946: Issue with lowess() smoother in statsmodels
  • #868: k_vars > nobs
  • #917: emplike emplikeAFT stray dimensions
  • #264: version comparisons need to be made more robust (may be just use LooseVersion)
  • #674: failure in test_foreign, pandas testing
  • #828: GLMResults inconsistent distribution in pvalues
  • #908: RLM missing test for tvalues, pvalues
  • #463: formulas missing in docs
  • #256: discrete Nbin has zero test coverage
  • #831: test errors running bdist
  • #733: Docs: interrater cohens_kappa is missing
  • #897: lowess failure - sometimes
  • #902: test failure tsa.filters precision too high
  • #901: test failure stata_writer_pandas, newer versions of pandas
  • #900: ARIMA.__new__ errors on python 3.3
  • #832: notebook errors
  • #867: Baxter King has unneeded limit on value for low?
  • #781: discreteResults margeff method not tests, obsolete
  • #870: discrete unit tests duplicates
  • #630: problems in regression plots
  • #885: Caching behavior for KDEUnivariate icdf
  • #869: sm.tsa.ARMA(..., order=(p,q)) gives “__init__() got an unexpected keyword argument ‘order’” error
  • #783: statsmodelsdistributionsmixture_rvs.py no unit tests
  • #824: Multicomparison w/Pandas Series
  • #789: presentation of multiple comparison results
  • #764: BUG: multipletests incorrect reject for Holm-Sidak
  • #766: multipletests - status and tests of 2step FDR procedures
  • #763: Bug: multipletests raises exception with empty array
  • #840: sm.load should be in the main API namespace
  • #830: invalid version number
  • #821: Fail gracefully when extensions are not built
  • #204: Cython extensions built twice?
  • #689: tutorial notebooks
  • #740: why does t_test return one-sided p-value
  • #804: What goes in statsmodels.formula.api?
  • #675: Improve error message for ARMA SVD convergence failure.
  • #15: arma singular matrix
  • #559: Add Rdatasets to optional dependencies list
  • #796: Prediction Standard Errors
  • #793: filters are not pandas aware
  • #785: Negative R-squared
  • #777: OLS residuals returned as Pandas series when endog and exog are Pandas series
  • #770: Add ANOVA to docs
  • #775: Bug in dates_from_range
  • #773: AR model pvalues error with Pandas
  • #768: multipletests: numerical problems at threshold
  • #355: add draw if interactive to plotting functions
  • #625: Exog is not correctly handled in ARIMA predict
  • #626: ARIMA summary does not print exogenous variable coefficients
  • #657: order (0,1) breaks ARMA forecast
  • #736: ARIMA predict problem for ARMA model
  • #324: ic in ARResults, aic, bic, hqic, fpe inconsistent definition?
  • #642: sign_test check
  • #236: AR start_params broken
  • #235: tests hang on Windows
  • #156: matplotlib deprecated legend ? var plots
  • #331: Remove stale tests
  • #592: test failures in datetools
  • #537: Var Models
  • #755: Unable to access AR fit parameters when model is estimated with pandas.DataFrame
  • #670: discrete: numerically useless clipping
  • #515: MNLogit residuals raise a TypeError
  • #225: discrete models only define deviance residuals
  • #594: remove skiptest in TestProbitCG
  • #681: Dimension Error in discrete_model.py When Running test_dummy_*
  • #744: DOC: new_f_test
  • #549: Ship released patsy source in statsmodels
  • #588: patsy is a hard dependency?
  • #716: Tests missing for functions if pandas is used
  • #715: statmodels regression plots not working with pandas datatypes
  • #450: BUG: full_output in optimizers Likelihood model
  • #709: DOCstrings linear models don’t have missing params
  • #370: BUG weightstats has wrong cov
  • #694: DiscreteMargins duplicate method
  • #702: bug, pylint stats.anova
  • #423: Handling of constant across models
  • #456: BUG: ARMA date handling incompatibility with recent pandas
  • #514: NaNs in Multinomial
  • #405: Check for existing old version of scikits.statsmodels?
  • #586: Segmentation fault with OLS
  • #721: Unable to run AR on named time series objects
  • #125: caching pinv_wexog broke iterative fit - GLSAR
  • #712: TSA bug with frequency inference
  • #319: Timeseries Frequencies
  • #707: .summary with alpha ignores parsed value
  • #673: nonparametric: bug in _kernel_base
  • #710: test_power failures
  • #706: .conf_int() fails on linear regression without intercept
  • #679: Test Baxter King band-pass filter fails with scipy 0.12 beta1
  • #552: influence outliers breaks when regressing on constant
  • #639: test folders not on python path
  • #565: omni_normtest doesn’t propagate the axis argument
  • #563: error in doc generation for AR.fit
  • #109: TestProbitCG failure on Ubuntu
  • #661: from scipy import comb fails on the latest scipy 0.11.0
  • #413: DOC: example_discrete.py missing from 0.5 documentation
  • #644: FIX: factor plot + examples broken
  • #645: STY: pep8 violations in many examples
  • #173: doc sphinx warnings
  • #601: bspline.py dependency on old scipy.stats.models
  • #103: ecdf and step function conventions
  • #18: Newey-West sandwich covariance is missing
  • #279: cov_nw_panel not tests, example broken
  • #150: precision in test_discrete.TestPoissonNewton.test_jac ?
  • #480: rescale loglike for optimization
  • #627: Travis-CI support for scipy
  • #622: mark tests as slow in emplike
  • #589: OLS F-statistic error
  • #572: statsmodels/tools/data.py Stuck looking for la.py
  • #580: test errors in graphics
  • #577: PatsyData detection buglet
  • #470: remove deprecated features
  • #573: lazy imports are (possibly) very slow
  • #438: New results instances are not in online documentation
  • #542: Regression plots fail when Series objects passed to sm.OLS
  • #239: release 0.4.x
  • #530: l1 docs issues
  • #539: test for statwriter (failure)
  • #490: Travis CI on PRs
  • #252: doc: distributions.rst refers to sandbox only
  • #85: release 0.4
  • #65: MLE fit of AR model has no tests
  • #522: test doesn’t propagate arguments to nose
  • #517: missing array conversion or shape in linear model
  • #523: test failure with ubuntu decimals too large
  • #520: web site documentation, source not updated
  • #488: Avoid cholesky decomposition of diagonal matrices in linear regression models
  • #394: Definition in macrodata NOTE
  • #45: numdifftools dependency
  • #501: WLS/GLS post estimation results
  • #500: WLS fails if weights is a pandas.Series
  • #27: add hasconstant indicator for R-squared and df calculations
  • #497: DOC: add patsy?
  • #495: ENH: add footer SimpleTable
  • #402: model._data -> model.data?
  • #477: VAR NaN Bug
  • #421: Enhancment: Handle Missing Data
  • #489: Expose model._data as model.data
  • #315: tsa models assume pandas object indices are dates
  • #440: arima predict is broken for steps > q and q != 1
  • #458: TST BUG? comparing pandas and array in tests, formula
  • #464: from_formula signature
  • #245: examples in docs: make nicer
  • #466: broken example, pandas
  • #57: Unhelpful error from bad exog matrix in model.py
  • #271: ARMA.geterrors requires model to be fit
  • #350: Writing to array returned np.diag
  • #354: example_rst does not copy unchanged files over
  • #467: Install issues with Pandas
  • #444: ARMA example on stable release website not working
  • #377: marginal effects count and discrete adjustments
  • #426: “svd” method not supported for OLS.fit()
  • #409: Move numdiff out of the sandbox
  • #416: Switch to complex-step Hessian for AR(I)MA
  • #415: bug in kalman_loglike_complex
  • #397: plot_corr axis text labeling not working (with fix)
  • #399: discrete errors due to incorrect in-place operation
  • #389: VAR test_normality is broken with KeyError
  • #388: Add tsaplots to graphics.api as graphics.tsa
  • #387: predict date wasn’t getting set with start = None
  • #386: p-values not returned from acf
  • #385: Allow AR.select_order to work without model being fit
  • #383: Move mixture_rvs out of sandbox.
  • #248: ARMA breaks with a 1d exog
  • #273: When to give order for AR/AR(I)MA
  • #363: examples folder -> tutorials folder
  • #346: docs in sitepackages
  • #353: PACF docs raise a sphinx warning
  • #348: python 3.2.3 test failure zip_longest

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