FitExp {Temporal}

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")