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_filter(): Check filter

check_freq(): Identify factors with low frequency classes

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_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

simulate_outcome(): Simulate outcome for MLAI pipeline

skw(): skewness #### e1071 was only used for e1071::skewness in prepare_ml_vars,default type = 3

spec_cols_required: Required spec entry by data type

values_fn_default(): Default duplicate handling