summary_factorlist()total column now summaries continuous variables. #17 #21
svyglmmulti()provide support for complex stratified sampling via
summary_factorlist()can take any
Hmisc:::summary.formulaargument, such as
catTest = catTestfisher.
fit2dfnow supports competing risks models,
ff_glimpse()re-written to remove
missing_glimpse()added: single data frame describing all variables and missing values
ff_interaction()added: create variable for an interaction between two factors
ff_label()added: easily add label to variable in dataframe
ff_newdata()modified to take dataframe without requirement for dependent and explanatory arguments
summary_factorlist()modified to allow user to change number of unique factor levels at which a variable a continuous variable is converted to a factor (
fit2df()and its internal function
extract_fitmodified to take
missing_predictorMatrix()added for use with
metrics_hoslem()is the first of a number of ‘metrics’ functions which will be introduced.