FitExp: Exponential Distribution Parameter Estimation
In Temporal: Parametric Time to Event Analysis

FitExp

R Documentation

Exponential Distribution Parameter Estimation

Description

Estimates parameters for exponential event times subject to non-informative right censoring. The exponential distribution is parameterized in terms of the rate \lambda:

f(t) = \lambda e^{-\lambda t}, t>0

Usage

FitExp(
  data,
  sig = 0.05,
  status_name = "status",
  tau = NULL,
  time_name = "time"
)

Arguments

`data`	Data.frame.
`sig`	Significance level, for CIs.
`status_name`	Name of the status indicator, 1 if observed, 0 if censored.
`tau`	Optional truncation times for calculating RMSTs.
`time_name`	Name of column containing the time to event.

Value

An object of class fit containing the following:

Parameters: The estimated model parameters.
Information: The observed information matrix.
Outcome: The fitted mean, median, and variance of the time to event distribution.
RMST: The estimated RMSTs, if tau was specified.

Examples

# Generate exponential event time data with 20% censoring.
data <- GenData(n = 1e3, dist = "exp", theta = c(2), p = 0.2)

# Estimate parameters.
fit <- FitParaSurv(data, dist = "exp")

Temporal documentation built on Sept. 24, 2023, 1:06 a.m.