Nearest Neighbors Matching of Case-Control Data

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Documentation for package ‘nncc’ version 1.0.0

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

Help Pages

logistf-package	Firth's Bias-Reduced Logistic Regression
{logistf}-package	Firth's Bias-Reduced Logistic Regression
add1.logistf	Add or Drop All Possible Single Terms to/from a 'logistf' Model
anifood	case-control data
anova.logistf	Analysis of Penalized Deviance for 'logistf' Models
backward	Backward Elimination/Forward Selection of Model Terms in logistf Models
backward.flac	Backward Elimination/Forward Selection of Model Terms in logistf Models
backward.flic	Backward Elimination/Forward Selection of Model Terms in logistf Models
backward.logistf	Backward Elimination/Forward Selection of Model Terms in logistf Models
cacheit	Function to cache long operations
calc_strata_or	Calculate the pooled strata OR
case_control	nncc: nearest-neighbors matching for case-control data
CLIP.confint	Confidence Intervals after Multiple Imputation: Combination of Likelihood Profiles
CLIP.confint.difflevel	Combine confidence interval for 'logistf' after multiple imputation
CLIP.profile	Combine Profile Likelihoods from Imputed-Data Model Fits
distance_density_plot	Distance density plots comparing closest to random choices
excl_vars	Variables excluded from matching
finalize_data	Final cleaning of the matched dataset(s)
fix_df	Fix the strata so they all have at least one case and control
flac	FLAC - Firth's logistic regression with added covariate
flac.formula	FLAC - Firth's logistic regression with added covariate
flac.logistf	FLAC - Firth's logistic regression with added covariate
flic	FLIC - Firth's logistic regression with intercept correction
flic.formula	FLIC - Firth's logistic regression with intercept correction
flic.logistf	FLIC - Firth's logistic regression with intercept correction
forward	Backward Elimination/Forward Selection of Model Terms in logistf Models
forward.logistf	Backward Elimination/Forward Selection of Model Terms in logistf Models
get_paf	Calculate population attributable fraction using odds ratio
get_threshold	Identify the right threshold
isspecnum	Is specnum
logistf	Firth's Bias-Reduced Logistic Regression
logistf.control	Control Parameters for 'logistf'
logistf.fit	Fit a Firth logistic regression model
logistf.pdf	Likehood-ratio test of two models
logistftest	Penalized likelihood ratio test
logistpl.control	Default logistpl control
make_analysis_set	Make analysis set
make_analysis_sets	Make analysis datasets
make_knn_strata	Make case-control strata using k nearest neighbors (knn)
matching	nncc: nearest-neighbors matching for case-control data
nearest_neighbors	nncc: nearest-neighbors matching for case-control data
nncc	nncc: nearest-neighbors matching for case-control data
original_compare_plot	Compare the original strata's distances to the knn version
plot.logistf.profile	'plot' Method for 'logistf' Likelihood Profiles
plot_results	Plot the OR results
predict.flac	Predict Method for flac Fits
predict.flic	Predict Method for flic Fits
predict.logistf	Predict Method for logistf Fits
profile.logistf	Compute Profile Penalized Likelihood
PVR.confint	Pseudo Variance Modification of Rubin's Rule
sex2	Urinary Tract Infection in American College Students
sexagg	Urinary Tract Infection in American College Students
test_mh	Calculate odds ratios
threshold_model_plot	Show the prediction of the logistic regression model
unique_controls	Ensures controls are unique to avoid possible pseudoreplication issues
write_strata_or_output	Format strata output into CSV