Function reference • eha

All functions
`dEV()` `pEV()` `qEV()` `hEV()` `HEV()` `rEV()`	The EV Distribution
`dgompertz()` `pgompertz()` `qgompertz()` `hgompertz()` `Hgompertz()` `rgompertz()`	The Gompertz Distribution
`dllogis()` `pllogis()` `qllogis()` `hllogis()` `Hllogis()` `rllogis()`	The Loglogistic Distribution
`hlnorm()` `Hlnorm()`	The Lognormal Distribution
`ppch()` `dpch()` `hpch()` `Hpch()` `qpch()` `mpch()` `rpch()`	The Piecewise Constant Hazards distribution.
`SurvSplit()`	Split a survival object at specified durations.
`hweibull()`	The (Cumulative) Hazard Function of a Weibull Distribution
`aftreg()`	Accelerated Failure Time Regression
`aftreg.fit()`	Parametric proportional hazards regression
`age.window()`	Age cut of survival data
`cal.window()`	Calendar time cut of survival data
`check.dist()`	Graphical goodness-of-fit test
`check.surv()`	Check the integrity of survival data.
`child`	Child mortality, Skellefteå, Sweeden 1850--1900.
`compHaz()`	Graphical comparison of cumulative hazards
`coxfunk()`	Loglihood function (partial likelihood) of a Cox regression
`coxreg()`	Cox regression
`coxreg.fit()`	Cox regression
`cro()`	Creates a minimal representation of a data frame.
`eha-package`	eha: Event History Analysis
`fert`	Marital fertility nineteenth century
`frail.fit()`	Frailty experiment
`geome.fit()`	Constant intensity discrete time proportional hazards
`hazards()`	Get baseline hazards atoms from fits from
`import_Surv`	`Surv` function imported from `survival`
`import_strata`	`strata` function imported from `survival`
`infants`	Infant mortality and maternal death, Sweeden 1821--1894.
`join.spells()`	Straighten up a survival data frame
`logrank()`	The Log-rank test
`scania`	Rye prices, Scania, southern Sweden, 1801-1894.
`ltx()`	LaTeX printing of regression results.
`make.communal()`	Put communals in "fixed" data frame
`dmakeham()` `pmakeham()` `qmakeham()` `hmakeham()` `Hmakeham()` `rmakeham()`	The Gompertz-Makeham Distribution
`male.mortality`	Male mortality in ages 40-60, nineteenth century
`mlreg()`	ML proportional hazards regression
`mort`	Male mortality in ages 40-60, nineteenth century
`oe()`	Create an oe object
`oldmort`	Old age mortality, Sundsvall, Sweden, 1860-1880.
`pchreg()`	Piecewise Constant Proportional Hazards Regression
`perstat()`	Period statistics
`phfunc()`	Loglihood function of a proportional hazards regression
`phreg()`	Parametric Proportional Hazards Regression
`phreg.fit()`	Parametric proportional hazards regression
`piecewise()`	Piecewise hazards
`plot(<aftreg>)`	Plots output from an AFT regression
`plot(<coxreg>)`	Plot method for `coxreg` objects
`plot(<hazdata>)`	Plots of hazdata objects.
`plot(<logrank>)`	Plots of hazdata objects.
`plot(<phreg>)`	Plots output from a phreg regression
`plot(<tpchreg>)`	Plots output from a tpchreg regression
`plot(<weibreg>)`	Plots output from a Weibull regression
`plotHaz()`	Graphical comparing of cumulative hazards
`print(<aftreg>)`	Prints aftreg objects
`print(<coxreg>)`	Prints coxreg objects
`print(<logrank>)`	Prints logrank objects
`print(<phreg>)`	Prints phreg objects
`print(<risksets>)`	Prints a summary of the content of a set of risk sets.
`print(<summary.aftreg>)`	Prints summary.aftreg objects
`print(<summary.coxreg>)`	Prints summary.coxreg objects
`print(<summary.phreg>)`	Prints summary.phreg objects
`print(<summary.tpchreg>)`	Prints summary.tpchreg objects
`print(<tpchreg>)`	Prints tpchreg objects
`print(<weibreg>)`	Prints weibreg objects
`regtable()`	Retrieves regression tables
`risksets()`	Finds the compositions and sizes of risk sets
`scania`	Old age mortality, Scania, southern Sweden, 1813-1894.
`summary(<aftreg>)`	Prints aftreg objects
`summary(<coxreg>)`	A summary of coxreg objects.
`summary(<phreg>)`	A summary of phreg objects.
`summary(<tpchreg>)`	Summary for tpchreg objects
`summary(<weibreg>)`	Prints a weibreg object
`swedeaths`	Swedish death data, 1968-2019.
`swepop`	Swedish population data, 1968-2019.
`table.events()`	Calculating failure times, risk set sizes and No. of events in each risk set
`toBinary()`	Transforms a "survival" data frame into a data frame suitable for binary (logistic) regression
`toDate()`	Convert time in years since "0000-01-01" to a date.
`toTime()`	Calculate duration in years from "0000-01-01" to a given date
`toTpch()`	Transform survival data to tabular form
`tpchreg()`	Proportional hazards regression with piecewise constant hazards and tabular data.
`weibreg()`	Weibull Regression
`weibreg.fit()`	Weibull regression
`wfunk()`	Loglihood function of a Weibull regression

Reference

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