NEWS.md
forestcox
and forestglm
with
datatype of P value in tableforestcox
forestcox
weights
option to
TableSubgroupCox
and TableSubgroupMultiCox
for
marginal cox model. ex: weights = "weights"
strata
option to
TableSubgroupCox
and TableSubgroupMultiCox
for
marginal cox model. ex: strata = "sex"
TableSubgroupMultiCox
with clusterTableSubgroupCox
and
TableSubgroupMultiCox
cluster
option to
TableSubgroupCox
and TableSubgroupMultiCox
for
marginal cox model. ex: cluster = "inst"
forestcox
and forestglm
.normalityTest
option to
CreateTableOneJS
to perform the Shapiro test for all
variables.glmshow.display
and TableSubgroupMultiGLM
mort
addOverall
options to CreateTableOneJS
and svyCreateTableOneJS
to add overall column.TableSubgroupGLM
&
TableSubgroupCox
allow subgroup variable with
continuous.*.display
: univariate analysis with
stats::update
Remove dependency with group_split
function
(dplyr package)
Use survey::regTermTest
for interaction p
calculation with survey::svycoxph
.
CreateTableOneJS
,
svyCreateTableOneJS
: when with labeldata, variables other
than numeric or factor types are excluded.TableSubgroupGLM
,
TableSubgroupMultiGLM
: subgroup analysis for GLM(gaussian,
logistic)Bugfix TableSubgroupCox
: error with factor variable
including NA
.
Update TableSubgroupCox
: compatible with upcoming
survival pacakge update.
Additional bug fix: match with survival3.1-x.
class
issue: https://developer.r-project.org/Blog/public/2019/11/09/when-you-think-class.-think-again/index.html
CreateTableOneJS
and
svyCreateTableOneJS
according to tableone
package(0.10.0).New function: coefNA
Bug fixes: Coefficients in glmshow.display
,
cox2.display
glmshow.display
,
cox2.display
, geeglm.display
,
coxme.display
Update: cox2.display
function allows
data
argument.
Remove jsBasicGadget
: Move to
jsmodule package.
Shiny gadget for descriptive statistics:
jsBasicGadget
Rstudio Addin of jsBasicGadget
:
jsBasicAddin
Apply label information to epiDisplay.object
:
LabelepiDisplay
function
Apply label information to lmer.display
,
coxme.display
: LabeljsMixed
function