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The goal of dsdp is to estimate probability density
functions from a data set using a maximum likelihood method. The models
of density functions in use are familiar Gaussian or exponential
distributions with polynomial correction terms. To find an optimal
model, we adopt a grid search for parameters of base functions and
degrees of polynomials, together with semidefinite programming for
coefficients of polynomials, and then model selection is done by Akaike
Information Criterion.
## Install from CRAN
install.packages(dsdp)You can install the development version of dsdp from
this repository:
## Install from github
devtools::install_github("tsuchiya-lab/dsdp")To install from source codes, the user needs an appropriate compiler
toolchain, for example, rtools in Windows, to build dsdp,
along with devtools package.
Please refer to the tutorial and the reference in tsuchiya-lab.github.io/dsdp/.
Pdf version of articles are also available: A Tutorial for dsdp, Problem Formulations for dsdp.
This research was supported in part with Grant-in-Aid for Scientific Research(B) JP18H03206, JP21H03398 and Grant-in-Aid for Exploratory Research JP20K21792 from the Japan Society for the Promotion of Sciences.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.