Multivariable Fractional Polynomial Models with Extensions

---

Documentation for package ‘mfp2’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

apply_acd	Function to apply Approximate Cumulative Distribution (ACD)
apply_shift_scale	Shift and scale vector x
art	Artificial dataset with continuous response
assign_df	Helper to assign degrees of freedom
calculate_df	Helper to calculates the final degrees of freedom for the selected model
calculate_f_test	Function to compute F-statistic and p-value from deviances
calculate_lr_test	Function to calculate p-values for likelihood-ratio test
calculate_model_metrics	Function to compute model metrics to be used within 'mfp2'
calculate_number_fp_powers	Calculates the total number of fractional polynomial powers in adjustment variables.
calculate_standard_error	Helper function to compute standard error of a partial predictor
center_matrix	Simple function to center data
coef.mfp2	Extract coefficients from object of class 'mfp2'
convert_powers_list_to_matrix	Helper to convert a nested list with same or different length into a matrix
create_dummy_variables	Simple function to create dummy variables for ordinal and nominal variables
create_fp_terms	Helper to create overview table of fp terms
deviance_gaussian	Deviance computations as used in mfp in stata
ensure_length	Helper function to ensure vectors have a specified length
find_best_fp1_for_acd	Function to fit univariable FP1 models for acd transformation
find_best_fpm_step	Function to find the best FP functions of given degree for a single variable
find_best_fp_cycle	Helper to run cycles of the mfp algorithm
find_best_fp_step	Function to estimate the best FP functions for a single variable
find_scale_factor	Function that calculates an integer used to scale predictor
find_shift_factor	Function that calculates a value used to shift predictor
fit_acd	Function to estimate approximate cumulative distribution (ACD)
fit_cox	Function that fits Cox proportional hazards models
fit_glm	Function that fits generalized linear models
fit_linear_step	Function to fit linear model for variable of interest
fit_mfp	Function for fitting a model using the MFP or MFPA algorithm
fit_model	Function that fits models supported by 'mfp2'
fit_null_step	Function to fit null model excluding variable of interest
fp	Helper to assign attributes to a variable undergoing FP-transformation
fp2	Helper to assign attributes to a variable undergoing FP-transformation
fracplot	Plot response functions from a fitted 'mfp2' object
gbsg	Breast cancer dataset used in the Royston and Sauerbrei (2008) book.
generate_combinations_with_replacement	Helper function to generate combinations with replacement
generate_powers_acd	Function that generates a matrix of FP powers for any degree
generate_powers_fp	Function that generates a matrix of FP powers for any degree
generate_transformations_acd	Function to generate all requested FP transformations for a single variable
generate_transformations_fp	Function to generate all requested FP transformations for a single variable
get_selected_variable_names	Helper function to extract selected variables from fitted 'mfp2' object
mfp2	Multivariable Fractional Polynomial Models with Extensions
mfp2.default	Multivariable Fractional Polynomial Models with Extensions
mfp2.formula	Multivariable Fractional Polynomial Models with Extensions
name_transformed_variables	Helper function to name transformed variables
order_variables	Helper to order variables for mfp2 algorithm
order_variables_by_significance	Helper to order variables for mfp2 algorithm
pima	Pima Indians dataset used in the Royston and Sauerbrei (2008) book.
plot_mfp	Plot response functions from a fitted 'mfp2' object
predict.mfp2	Predict Method for 'mfp2' Fits
prepare_newdata_for_predict	Helper function to prepare newdata for predict function
print.mfp2	Print method for objects of class 'mfp2'
print_mfp_ic_step	Function for verbose printing of function selection procedure (FSP)
print_mfp_pvalue_step	Function for verbose printing of function selection procedure (FSP)
print_mfp_step	Function for verbose printing of function selection procedure (FSP)
prostate	Prostate cancer dataset used in the Royston and Sauerbrei (2008) book.
reset_acd	Helper to reset acd transformation for variables with few values
select_ic	Function selection procedure based on information criteria
select_ic_acd	Function selection procedure based on information criteria
select_linear	Helper to select between null and linear term for a single variable
select_ra2	Function selection procedure based on closed testing procedure
select_ra2_acd	Function selection procedure for ACD based on closed testing procedure
summary.mfp2	Summarizing 'mfp2' model fits
transform_data_step	Function to extract and transform adjustment variables
transform_matrix	Function to transform each column of matrix using final FP powers or acd
transform_vector_acd	Functions to transform a variable using fractional polynomial powers or acd
transform_vector_fp	Functions to transform a variable using fractional polynomial powers or acd
transform_vector_power	Simple function to transform vector by a single power