In dpastoor/blueprint: create models easily
blueprint creation
blueprint language
- nonmem, mrgsolve, stan, etc
dataset
addition of a dataset allows the user to extract information from
the dataset to inject into certain modeling components. For example,
with nonmem, the $INPUT block can be autogenerated
- rename
- drop
model type - ode/built-in
parameterization (on back burner)
parameters
hierarchy
covariate
residual
dpastoor/blueprint documentation built on May 24, 2019, 4:01 a.m.
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.
blueprint creation
blueprint language
- nonmem, mrgsolve, stan, etc
dataset
addition of a dataset allows the user to extract information from the dataset to inject into certain modeling components. For example, with nonmem, the $INPUT block can be autogenerated
- rename
- drop
model type - ode/built-in
parameterization (on back burner)
parameters
hierarchy
covariate
residual
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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