R: Create Report Table from Different Objects

# Create Report Table from Different Objects

## Documentation for package ‘repmod’ version 0.4.11

- DESCRIPTION file

## Help Pages

AUC | ROC area under curve
boot_model | Bootstrap optimism correction for models
cat_summary | Auxiliary functions for report.data.frame
coefplot | Plot of the coefficients of a model
cv_model | K-fold cross-validation for models
MAE | Mean absolute error
make_csv_table | Export a table to excel
make_latex_table | Export a table to latex
make_table | Make a table from report
make_word_table | Export a table to word
matrixPaste | Auxiliary matrix paste function
MSE | Mean squared error
numeric_summary | Auxiliary functions for report.data.frame
plot.reportmodel | Coefplot for reportmodel objects
report | Generic function for creating reporting tables
report.betareg | Report from beta regression model
report.brmsfit | Report models from brms package
report.clm | Report from ordinal model
report.clmm | Report from ordinal mixed model
report.coxph | Report from cox regression model
report.data.frame | Report tables of summary data
report.default | Default function for report
report.factor | Report from categorical variable
report.glm | Report from generalized linear model
report.glmerMod | Report from generalized linear mixed model
report.glmmadmb | Report from generalized linear mixed model from ADMB
report.glmnet | Report models from glmnet package
report.gls | Report from generalized least squares model
report.lm | Report from linear model
report.lmerMod | Report from linear mixed model
report.lqmm | Report from quantile mixed model
report.merModLmerTest | Report from linear mixed model with pvalues
report.numeric | Report from numeric variable
report.rlm | Report from robust linear model (rlm)
report.rq | Report from quantile regression model
RMSE | Root mean squared error
rob.ci | Function to compute bootstrap confidence intervals for robust linear regression models
rob.pvals | Function to compute p-values for robust linear regression models
set_noms | Set header names for word tables
VarCorr | Generic VarCorr function