HelpersMG (version 6.2)

dcutter: Distribution of the fitted distribution without cut.

Description

If observations must be a data.frame with 4 columns:
observations: A column for the measurements;
LDL: A column for the lower detection limit;
UDL: A column for the upper detection limit;
Cut: A column for the truncated of censored nature of the data.

Usage

dcutter(
  par,
  observations = NULL,
  distribution = "gamma",
  n.mixture = NULL,
  debug = FALSE,
  limits.lower = NULL,
  limits.upper = NULL,
  log = TRUE
)

Value

The density of the cutter function according to observations.

Arguments

par

Values for parameters of distribution

observations

The observations; see description.

distribution

Can be gamma, normal, weibull, lognormal, or generalized.gamma.

n.mixture

Number of distributions

debug

If TRUE, show some information. If 2, show more information.

limits.lower

Value for lower detection limit

limits.upper

Value for upper detection limit

log

If TRUE, return the log likelihood

Author

Marc Girondot

Details

dcutter returns the density of the cutter function

See Also

Other Distributions: cutter(), dSnbinom(), dbeta_new(), dggamma(), logLik.cutter(), plot.cutter(), print.cutter(), r2norm(), rcutter(), rmnorm(), rnbinom_new()

Examples

if (FALSE) {
library(HelpersMG)
par <- c('shape1' = 0.42265849507444225, 
         'scale1' = 14.139457094879594, 
         'shape2' = 1.667131542489706, 
         'scale2' = 0.10763344388223803, 
         'p1' = 0.12283307526788023)
obs <- data.frame(Observations=c(0.755, 1.013, 2.098, 6.265, 4.708, 0.078, 2.169, 0.403, 1.251, 
                                 0.008, 1.419, 1.078, 2.744, 81.534, 1.426, 13.486, 7.813, 0.165, 
                                 0.118, 0.864, 0.369, 7.159, 2.605, 1.579, 1.646, 0.484, 4.492, 
                                 0.139, 0.28, 0.154, 0.106, 0.104, 4.185, 0.735, 0.149, 0.183, 
                                 0.062, 8.246, 0.165, 0.121, 0.109, 0.092, 0.162, 0.108, 0.139, 
                                 0.141, 0.124, 0.124, 0.151, 0.141, 0.364, 0.295, 0.09, 0.135, 
                                 0.154, 0.218, 0.167, -Inf, 0.203, 0.228, 0.107, 0.162, 0.194, 
                                 0.322, 0.351, 0.17, 0.236, 0.176, 0.107, 0.12, 0.095, 0.27, 0.194, 
                                 0.125, 0.123, 0.085, 0.164, 0.106, 0.079, 0.162), 
                 LDL=0.001, UDL=NA, Cut="censored")
dcutter(par=par, observations=obs, distribution="gamma", 
        n.mixture=NULL, debug=FALSE, limits.lower=NULL, 
        limits.upper=NULL,log=FALSE)
dcutter(par=par, observations=obs, distribution="gamma", 
        n.mixture=NULL, debug=FALSE, limits.lower=NULL, 
        limits.upper=NULL, log=TRUE)
        
}