Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation

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Documentation for package ‘hettx’ version 1.0.1

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

Help Pages

hettx-package	Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation
coef.RI.regression.result	Extract coefficients of a fit RI regression model.
detect_idiosyncratic	detect_idiosyncratic
estimate_systematic	Calculate systematic effects model using LATE, ITT, or full potential outcomes.
get_p_value	get p-value along with uncertainty on p-value
glance.FRTCI.test	Glance at a FRTCI.test result
glance.RI.R2.result	Glance at an RI.R2.result
glance.RI.regression.result	Glance at an RI.regression.result
hettx	Fisherian and Neymanian Methods for Detecting and Measuring Treatment Effect Variation
KS_stat	KS_stat
make_linear_data	Generate dataset according to a linear model.
make_quadradic_data	Generate dataset according to a linear model.
make_randomized_compliance_dat	Generate fake data with noncompliance.
make_randomized_dat	Make fake data for simulations
make_skew_data	Generate dataset according to a linear model.
Penn46_ascii	Sample data set
plot.FRTCI.test	plot.FRTCI.test
plot.RI.R2.result	Make a plot of the treatment effect R2 estimates
R2	Estimate treatment variation R2
rq_stat	rq_stat
rq_stat_cond_cov	rq_stat
rq_stat_uncond_cov	rq_stat
SE	Extract the standard errors from a var-cov matrix.
SKS_pool_t	SKS_pool_t
SKS_stat	SKS_stat
SKS_stat_cov	SKS_stat_cov_pool
SKS_stat_cov_pool	SKS_stat_cov_pool
SKS_stat_cov_rq	SKS_stat_cov_rq
SKS_stat_int_cov	SKS_stat_int_cov_pool
SKS_stat_int_cov_pool	SKS_stat_int_cov_pool
test_stat_info	test_stat_info
tidy.FRTCI.test	Tidy a FRTCI.test result
tidy.RI.R2.result	Tidy an RI.R2.result
tidy.RI.regression.result	Tidy an RI.regression.result
ToyData	Toy data set
variance_ratio_test	Variance ratio test
vcov.RI.regression.result	Get vcov() from object.
WSKS_t	WSKS_t