API for skranz/regtools
Some tools for regressions and presentation of regressions results

Global functions
.onLoad Source code
add.showreg.title Source code
add.values.for.effect Source code
bootstrap.predict.glm Source code
coefplot Man page Source code
compute.effect.size.se Source code
convert.na Source code
distance.after.event Source code
draw.from.estimator Source code
effectplot Man page Source code
examples.bootstrap.predict.glm Source code
examples.distance.after.event Source code
examples.effectplot Source code
examples.expand.formula.and.data Source code
examples.predict.felm Source code
examples.showreg Source code
expanded.regression Man page Source code
expanded.regression.data Man page Source code
formula.dep.var Man page Source code
get.coef.mat Man page Source code
get.effect.base Source code
get.effect.base.df Source code
get.effect.sizes Man page Source code
get.predict.from.coef.fun Source code
get.regression.data Man page Source code
get.regression.var Man page Source code
glm.marginal.effects Man page Source code
is.dummy.val Source code
make.val.unit Source code
model.dep.var Man page Source code
model.matrix.from.new.data Source code
name.of.depvar Man page Source code Source code
normalize.column.names Man page Source code
one.bootstrap.coef.glm Source code
predict.felm Man page Source code
predict.from.coef.glm Source code
predict.from.coef.lm Source code
print.classShowReg Source code
regression.anatomy.plots Man page Source code
regression.anatomy.x.tilde Source code
regression.data Man page Source code
regression.formula Man page Source code
robust.se.summary Man page Source code
scale.data.cols Man page Source code
scale.values Source code
showreg Man page Source code
vcovCluster Man page Source code
vcovClusterOneWay Source code
vcovClusterTwoWays Source code
vcovRobust Man page Source code
skranz/regtools documentation built on May 30, 2019, 3:02 a.m.