Demo/Demo1/Demo1.R
In shijiaw/smcDE: Adaptive semiparametric Bayesian differential equations via sequential Monte Carlo methods
rm(list=ls())
install.packages("devtools")
library("devtools")
# install package
install_github("shijiaw/smcDE")
library("smcDE")
# load data
load("data1.Rdata")
load("time1.Rdata")
# run SMC
output = smcDE(data = data, times = time, seed = 1, knots = seq(time[[1]][1], max(time[[1]]),by = 5), CESSthresholds = 0.8, NP = 500, resampleThreshold = 0.5, alambda = 1, blambda = 1, sigmac = 100, DEmodel = 1)
shijiaw/smcDE documentation built on Nov. 25, 2020, 2:14 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
rm(list=ls())
install.packages("devtools")
library("devtools")
# install package
install_github("shijiaw/smcDE")
library("smcDE")
# load data
load("data1.Rdata")
load("time1.Rdata")
# run SMC
output = smcDE(data = data, times = time, seed = 1, knots = seq(time[[1]][1], max(time[[1]]),by = 5), CESSthresholds = 0.8, NP = 500, resampleThreshold = 0.5, alambda = 1, blambda = 1, sigmac = 100, DEmodel = 1)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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