tests/testthat/test_00_LOGNO.R:
#########
####### Log normal: LOGNO() #########
########################################
#########
####### Log normal: LOGNO() #########
########################################
#########
####### Log normal: LOGNO() #########
########################################
Description
The function LOGNO defines a gamlss.family distribution to fits the log-Normal distribution.
The function LNO
<-0.2
p1<-0.3
p2<-0.5
Description
The functions LOGNO and LOGNO2 define a gamlss.family distribution to fits the log-Normal distribution
in GAMLSS
Description
The functions LOGNO and LOGNO2 define a gamlss.family distribution to fits the log-Normal
pval.md
Examples
data(dist.para.t)
in GAMLSS
Description
The functions LOGNO and LOGNO2 define a gamlss.family distribution to fits the log-Normal
-sequential plot 10
w1<-fitTailAll(F90)
# plot sigma
the lognormal distribution for fitting. Below in the ```gamlss``` function we will select ```family = LOGNO```.
# Parameter
", "GG", "BETA2", "DAGUM", "SINGMAD", "LOGNO", "WEI", "GA",
"LOGLOG", "PARETO2"),
obs_mean = NULL,
distributions GB2, GG, BETA2, DAGUM, SINGMAD, LOGNO, WEI, GA, LOGLOG, PARETO2.
return_params
a (non-empty) logical
")
## Not run:
# hill -sequential plot 10
://blog.naver.com/PostView.nhn?blogId=ltg4389&logNo=220596822269}}
#' \item{운행층수}{승강기가 건물에서 동작하는 층수}
#' \item{승강기종류}{설치된 승강기의 종류
("gaussian","poisson","binomial","negative.binomial","Gamma","LOGNO","ZIP")))
stop("Current version does
distributions GB2, GG, BETA2, DAGUM, SINGMAD, LOGNO, WEI, GA, LOGLOG, PARETO2.
return_params
a (non-empty) logical
), modelsToFit = c('GB2','GG','BETA2','DAGUM','SINGMAD','LOGNO','WEI','GA','LOGLOG','PARETO2'), return_params = TRUE
dat <- model_fam_data(fam_name = "LOGNO")
# Estimating the model
library("gamlss")
://blog.naver.com/PostView.nhn?blogId=ltg4389&logNo=220596822269}}
#' \item{운행층수}{승강기가 건물에서 동작하는 층수}
#' \item{승강기종류}{설치된 승강기의 종류
층수 http://blog.naver.com/PostView.nhn?blogId=ltg4389&logNo=220596822269
운행층수승강기가 건물에서 동작하는 층수
승강기종류설치된 승강기의 종류
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