Man pages for SEQTaRget
Sequential Trial Emulation
| bake_followup_spline | Bake fixed knots into any 'ns(followup, df = N)' term in... |
| check_separation | Check a fitted fastglm model for signs of perfect or... |
| clean_fastglm | Strip large components from a model object returned by... |
| compevent | Function to return competing event models from a SEQuential... |
| covariates | Retrieves Outcome, Numerator, and Denominator Covariates |
| create.default.covariates | Internal Function to create 'default' formula |
| create.default.LTFU.covariates | Internal Function to create 'default' loss-to-followup... |
| create.default.weight.covariates | Internal Function to create 'default' weighting formula |
| create.risk | Internal function to pull Risk Ratio and Risk Difference from... |
| denominator | Retrieves Denominator Models from SEQuential object |
| diagnostics | Function to return diagnostic tables from a SEQuential object |
| dot-coef_table | Print a coefficient table from a cleaned fastglm object |
| fit_glm | Fit a GLM using the package specified in params@glm.package |
| format_time | Nicely cleans time for readability |
| formula_vars | Extract underlying column names from RHS formula strings |
| hazard_ratio | Function to return hazard ratios from a SEQuential object |
| init_formula_cache | Create formula cache |
| inline.pred | Helper Function to inline predict a fastglm object |
| internal.analysis | Internal analysis tool for handling... |
| internal.hazard | Generic function to format a dataset for hazard ratio... |
| internal.model | Internal function for fitting outcome models |
| internal.plot | Plotting for survival curves |
| internal.survival | Internal function for creating survival curves |
| internal.weights | Internal function for defining weights |
| km_curve | Function to print Kaplan-Meier curves |
| km_data | Function to return survival data from a SEQuential object |
| multinomial | Helper function for nested logistic |
| multinomial.predict | Helper to predict from the nested logistic |
| multinomial.summary | Helper function to get the summary table from multinomial |
| numerator | Retrieves Numerator Models from SEQuential object |
| outcome | Retrieves Outcome Models from SEQuential object |
| parameter.setter | Parameter Helper |
| parameter.simplifier | Simplifies parameters down for later use |
| predict_model | Predict from a model fitted by fit_glm |
| prepare.data_cached | Helper function to prepare data for fastglm |
| prepare.output | Output constructor |
| resolve_risk_times | Resolve the follow-up times at which to report risk... |
| risk_comparison | Function to return risk information from a SEQuential object |
| risk_data | Function to return risk information from a SEQuential object |
| SEQdata | Simulated observational example data for SEQuential |
| SEQ_data | Function to return the internal data from a SEQuential object |
| SEQdata.LTFU | Simulated lost-to-followup example data for 'SEQuential()' |
| SEQdata.multitreatment | Simulated multitreatment example data for 'SEQuential()'... |
| SEQestimate | Estimate the (very rough) time to run SEQuential analysis on... |
| SEQexpand | Creates an expanded dataset for use with 'SEQuential()' |
| SEQopts | Parameter Builder for SEQuential Model and Estimates |
| SEQopts-class | An S4 class of user options to feed into the SEQuential... |
| SEQoutput-class | An S4 class used to hold the outputs for the SEQuential... |
| SEQparams-class | An internal S4 class to carry around parameters during the... |
| SEQTaRget-package | SEQTaRget: Sequential Trial Emulation |
| SEQuential | SEQuential trial emulation |
| SEQweights-class | An internal S4 class to help transfer weight statistics out... |
| show-SEQoutput-method | Show method for S4 object - SEQoutput. |
