Releases: jmboehm/RegressionTables.jl
Releases · jmboehm/RegressionTables.jl
v0.7.8
RegressionTables v0.7.8
Merged pull requests:
- Update RegressionStatistics.jl (#167) (@floswald)
- Add extra_space option for extra space between coefficient lines (#168) (@junder873)
Closed issues:
- Allow for space between coefficient rows (#166)
v0.7.7
RegressionTables v0.7.7
Merged pull requests:
- Switch to broadcasting to fix no length issue on rhs in formula (#165) (@junder873)
v0.7.6
RegressionTables v0.7.6
Merged pull requests:
- Force
name
andlevel
to be of typestring
in CategoricalCoefName, not some funny string type likestring7
. (#162) (@grahamstark) - no longer demand StatsModels.formula to be defined on every new model (#163) (@junder873)
Closed issues:
v0.7.5
RegressionTables v0.7.5
Merged pull requests:
- Use StatsAPI.confint instead of custom confidence interval function (#155) (@junder873)
v0.7.4
RegressionTables v0.7.4
Merged pull requests:
- Fix BIC calling aaic instead of bic (#154) (@junder873)
Closed issues:
- Documentation seems to suggest conflicting argument types for
regression_statistics
and neither example works in practice: please reproduce? (#152)
v0.7.3
v0.7.2
v0.7.1
RegressionTables v0.7.1
Merged pull requests:
- Use Format.jl instead of Formatting.jl to fix bugs (#149) (@ScottPJones)
v0.7.0
RegressionTables v0.7.0
Merged pull requests:
- Change how below statistics work to make more flexible (#146) (@junder873)
Closed issues:
- bootstrap confidence intervals (#145)
Breaking Changes
This version contains a couple breaking internal changes:
- All below statistics (
StdError
,TStat
,ConfInt
) now expect theRegressionModel
and which coefficient to calculate their respective values. This is instead of several other values (standard error, coefficient value and degrees of freedom). The purpose of this is to make any below statistic possible since theRegressionModel
itself is passed. - The
standardize_coef_values
function now operates on a single value at a time (instead of the whole vector of coefficients and standard errors). This likely has a slight performance penalty but makes the previous change possible. - A new function
can_standardize
is used for eachRegressionModel
type to check if it is possible to standardize the type. This is by defaultfalse
so thestandardize_coef_values
function is only necessary ifcan_standardize
is set totrue
.
v0.6.2
RegressionTables v0.6.2
Merged pull requests:
- Add option to use original coefficient names in arguments (#148) (@junder873)
Closed issues: