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analyze() supports the Delayed Constant Treatment (DCT)
model.analyze() supports cluster-level random treatment
effects via re = "tx".analyze() can adjusts for covariates passed via
load_data(covariates = ).analyze() supports robust variance estimation via
params(var_est = "robust").load_data() accepts an exposure_time
variable (in addition to automatically calculating exposure time when
only a binary treatment variable is passed).plot_effect_curves() visualizes estimated treatment
effect curves.plot_clusters() visualizes cluster-level data or fitted
analysis objects.offset argument of analyze() has moved
to load_data(). Passing offset through
params() is deprecated.load_data() now stores time_type as an
attribute rather than a dataframe column. Access it with
attr(data, "time_type").params(return_ncs=TRUE) returns the natural cubic
spline transformation matrix and the transformed coefficients and
covariance matrices.sw_data_example_binom.params(), including the exposure time spline
of the NCS model (n_knots_exp) and the calendar time trend
spline (n_knots_cal).estimand_time is coded in the TEH
model.print() formats and displays estimates, standard
errors, and p-values for analysis objects.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.