Package index • martini

All functions

adam_domain_type(): Identify the data set type of ads files by file name
adam_guess(): Guess role columns for spec
adam_spec() maturing: Creating a specification for building a wide format data set from ADaM data
adam_spec_adsl(): Create specification object for ADaM data sets of type 'adsl'
adam_spec_bds(): Create specification object for ADaM data sets of type 'bds'
adam_spec_occds(): Create specification object for ADaM data sets of type occds
adjust_adsl_factors(): Adjust factor (levels) from adsl
adjust_adsl_select(): Adjust column selection from data sets of type 'adsl' in spec object
adjust_filter(): Adjust spec object filter
adjust_spec(): Adjust spec object
adsl_dict(): create adsl dictionary from column labels/names
adsl_identify() adsl_identify_dttm() adsl_identify_constant() adsl_identify_combined() adsl_identify_redundant() adsl_identify_flag() adsl_identify_factor() adsl_identify_factor_data(): identify/categorize columns from adsl
build() maturing: Build the feature matrix from various sources according to a specification object
build_out_tte(): Prepare outcome from adtte for MARTINI
build_adsl() build_bds() build_occds(): Create wide format data following a given spec
check_adjust(): check key value pair inputs for adjust_* functions
check_adjust_adsl_factors(): Helper for factor (level) adjustment of spec
check_adjust_adsl_select(): checks for adjustments in adjust_adsl_select()
check_and_guess_column(): Check role specification for ADaM data set
check_count(): Check for variables that resemble count variables
check_feature(): check feature matrix
check_filter(): Check filter
check_freq(): Identify factors with low frequency classes
check_non_missing(): Check for the proportion of non-missing values
check_nzv(): Check (near) zero variance
check_occds_occur(): Check for 'N' values in –OCCUR column in occds
check_other_class(): Check for occurrence of level that would cause issue with lumping
corr_stretch(): Stretch a correlation matrix to long format
corrr_mini(): Correlation matrix in long format
create_dict(): Create dictionary for spec entry
create_spec_out(): Create output object for build specifications
data_info(): data info on spec id
fct_na_to_level(): create alias for fct_explicit_na and fct_na_value_to_level based on available forcats version
get_data(): Extract data from an ml object
get_default(): get fct defaults
import_info(): Import file and collect info
info_filter(): Extract filter info from a spec object
martini_feat: Example feature matrix.
martini_ml_class: Example ML classification object.
martini_ml_regr: Example ML regression object.
martini_ml_surv: Example ML survival object.
martini_outc_class: Example classification outcome
martini_outc_regr: Example regression outcome
martini_outc_surv: Example survival outcome
martini_recipes_remove_cols(): Removes columns if options apply
martini_remove_original_cols(): Removes original columns if options apply
martini_spec: Example specification object.
pivot_prepare_bds(): Prepare bds data for pivoting step in build
prepare_col_selection(): Prepare column selection
prepare_ml() maturing: Prepare ML ready data set from outcome and predictor data
prepare_ml_data_split(): split data in train and test
prepare_ml_feature(): prep feature matrix
prepare_ml_outcome(): Prepare ML ready outcome data set
prepare_ml_recipe(): create recipe from data
prepare_ml_split() maturing: Split a prepared ML data set by factor
prepare_ml_vars(): Prepare ML helper function
prepare_replace(): consistent renaming of character vectors/factor levels
read_zap_empty(): a convenience function combining haven::read_sas() with haven::zap_empty() functionality
simulate_outcome(): Simulate outcome for MLAI pipeline
skw(): skewness
spec_cols_required: Required spec entry by data type
step_corr_keep(): High correlation filter
step_log_skewness(): Logarithmic transformation based on skewness
step_log_skewness_undo(): Undoing logarithmic transformations based on skewness
step_other2(): Collapse infrequent categorical levels
values_fn_default(): Default duplicate handling