DESCRIPTION

Package: freelunch
Type: Package
Title: Helper Functions to Fit and Test Identification in Simulations
Version: 0.1.0
Author: Ernesto Carrella
Maintainer: Ernesto Carrella <carrknight@gmail.com>
Description: A companion to the paper "No free lunch when estimating simulation parameters".
    What I think the field of Agent Based Models needs is just a straightforward way to estimate models
    that stresses (i) confidence intervals (ii) tests for identification. 
    The field is dominated by search-based methods which are opaque and hard to test so 
    here i just collect a bunch of reference table methods and approximate bayesian computation
    methods and provide them a common facade so that they are easy to call.
License: GPL
Depends:
    tidyverse (>= 1.3.0)
Imports:
    abc (>= 2.1),   
    abctools (>= 1.1.3),    
    R.utils (>= 2.10.1),   
    quantregForest (>= 1.3),    
    caret (>= 6.0),    
    knitrProgressBar (>= 1.1.0),    
    ranger (>= 0.12.1),   
    e1071 (>= 1.7),
    rsample (>= 0.0.8),
    scales,
    mgcv,
    patchwork
Suggests: knitr, rmarkdown
VignetteBuilder: knitr    
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.1