mcs_delay_report {weibulltools} | R Documentation |
Adjustment of Operating Times by Delays in Report using a Monte Carlo Approach
Description
mcs_delay_report()
is no longer under active development, switching to
mcs_delay is recommended.
Usage
mcs_delay_report(
date_repair,
date_report,
time,
status,
distribution = "lognormal",
details = FALSE
)
Arguments
date_repair |
a vector of class |
date_report |
a vector of class |
time |
A numeric vector of operating times. |
status |
A vector of binary data (0 or 1) indicating whether unit i is a right censored observation (= 0) or a failure (= 1). |
distribution |
Supposed distribution of the random variable. Only
|
details |
A logical. If |
Details
The delay in report describes the time between the occurrence of a damage and the registration in the warranty database. For a given date where the analysis is made there could be units which had a failure but are not registered in the database and therefore treated as censored units. To overcome this problem this function uses a Monte Carlo approach for simulating the operating times of (multiple) right censored observations, taking account of reporting delays. The simulation is based on the distribution of operating times that were calculated from complete data, i.e. failed items (see dist_delay_report).
Value
A numeric vector of corrected operating times for the censored units
and the input operating times for the failed units if details = FALSE
.
If details = TRUE
the output is a list which consists of the following
elements:
-
time
: Numeric vector of corrected operating times for the censored observations and input operating times for failed units. -
x_sim
: Simulated random numbers of specified distribution with estimated parameters. The length ofx_sim
is equal to the number of censored observations. -
coefficients
: Estimated coefficients of supposed distribution.
Examples
date_of_repair <- c(NA, "2014-09-15", "2015-07-04", "2015-04-10", NA,
NA, "2015-04-24", NA, "2015-04-25", "2015-04-24",
"2015-06-12", NA, "2015-05-04", NA, NA,
"2015-05-22", NA, "2015-09-17", NA, "2015-08-15",
"2015-11-26", NA, NA)
date_of_report <- c(NA, "2014-10-09", "2015-08-28", "2015-04-15", NA,
NA, "2015-05-16", NA, "2015-05-28", "2015-05-15",
"2015-07-11", NA, "2015-08-14", NA, NA,
"2015-06-05", NA, "2015-10-17", NA, "2015-08-21",
"2015-12-02", NA, NA)
op_time <- rep(1000, length(date_of_repair))
status <- c(0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0)
# Example 1 - Simplified vector output:
x_corrected <- mcs_delay_report(
date_repair = date_of_repair,
date_report = date_of_report,
time = op_time,
status = status,
distribution = "lognormal",
details = FALSE
)
# Example 2 - Detailed list output:
list_detail <- mcs_delay_report(
date_repair = date_of_repair,
date_report = date_of_report,
time = op_time,
status = status,
distribution = "lognormal",
details = TRUE
)