dtempirical | R Documentation |
Density function of truncated empirical distribution
Cumulative probability function of truncated empirical distribution
Quantile function of truncated empirical distribution max(0,min(claim,limit)-deductible)
Random generation of Truncated empirical distribution max(0,min(claim,limit)-deductible)
dtempirical(x, cdf, min = 0, max = 1e+09) ptempirical(q, cdf, min = 0, max = 1e+05) qtempirical(p, cdf, min = 0, max = 1e+05) rtempirical(n, cdf, min = 0, max = 1e+05)
x |
Value of the variable after deductible and limit max(0,min(claim,limit)-deductible) |
cdf |
empirical distribution (cdf for continuous distribution and pmf for discrete distribution) |
min |
Left truncation deductible |
max |
Right truncation limit |
q |
Value of the variable after deductible and limit max(0,min(claim,limit)-deductible) |
p |
Value of the probability |
n |
Number of samples |
#discrete distribution dtempirical(3,matrix(c(0.1,0.2,0.3,0.05,0.05,0.2,0.1,1:6,10),7,2),3,100) #continuous distribution dtempirical(30,matrix(c(seq(0.01,1,0.01),qnorm(seq(0.01,1,0.01),30,20)),100,2),200,10000000) #discrete distribution ptempirical(c(3,5,10),matrix(c(0.1,0.2,0.3,0.05,0.05,0.2,0.1,1:6,10),7,2),3,100) #continuous distribution ptempirical(350,matrix(c(seq(0.01,1,0.01),cumprod(c(1,rep(1.1,99)))),100,2),200,10000000) #discrete distribution qtempirical(c(0.3,0.65,1),matrix(c(0.1,0.2,0.3,0.05,0.05,0.2,0.1,1:6,10),7,2),3,100) #continuous distribution qtempirical(c(0.3,0.65,0.8),matrix(c(seq(0.01,1,0.01), cumprod(c(1,rep(1.1,99)))),100,2),200,10000000) #discrete distribution rtempirical(100,matrix(c(0.1,0.2,0.3,0.05,0.05,0.2,0.1,1:6,10),7,2),3,100) #continuous distribution rtempirical(100,matrix(c(seq(0.01,1,0.01),cumprod(c(1,rep(1.1,99)))),100,2),200,10000000)
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