Double Machine Learning Algorithms


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Documentation for package ‘dmlalg’ version 1.0.2

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coef.regsdml Accessing the coefficients of regsdml fits
confint.mmdml Confidence Intervals for coefficient estimates of mmdml fits
confint.regsdml Confidence Intervals for coefficient estimates of regsdml fits
dmlalg dmlalg: double machine learning algorithms
dmlmixed Estimating linear coefficients in partially linear mixed-effects models with repeated measurements using double machine learning.
dml_mixed Estimating linear coefficients in partially linear mixed-effects models with repeated measurements using double machine learning.
example_data_mmdml Generate data from partially linear mixed-effects model
fixef Extract Components from 'mmdml' Fits Imported from 'lme4'
fixef.mmdml Extract Components from 'mmdml' Fits Imported from 'lme4'
mixed_dml Estimating linear coefficients in partially linear mixed-effects models with repeated measurements using double machine learning.
mmdml Estimating linear coefficients in partially linear mixed-effects models with repeated measurements using double machine learning.
print.mmdml Printing mmdml fits
print.regsdml Printing regsdml fits
ranef Extract Components from 'mmdml' Fits Imported from 'lme4'
ranef.mmdml Extract Components from 'mmdml' Fits Imported from 'lme4'
regdml Estimating linear coefficients with double machine learning (DML)
regsdml Estimating linear coefficients with double machine learning (DML)
resid.mmdml Confidence Intervals for coefficient estimates of regsDML fits
residuals.mmdml Confidence Intervals for coefficient estimates of regsDML fits
sigma.mmdml Extract Residual Standard Deviation 'Sigma' from mmdml Fits
summary.mmdml Summarizing mmdml fits
summary.regsdml Summarizing regsdml fits
VarCorr Extract Components from 'mmdml' Fits Imported from 'lme4'
VarCorr.mmdml Extract Components from 'mmdml' Fits Imported from 'lme4'
vcov Extract Components from 'mmdml' Fits Imported from 'lme4'
vcov.mmdml Extract Components from 'mmdml' Fits Imported from 'lme4'
vcov.regsdml Accessing the variance-covariance matrices of regsdml fits