Suggests: testthat, ff, minqa, lbfgsb3, igraph, foreach
Packaged: 2017-09-05 15:19:47 UTC; Francois.rousset

Imports: numDeriv, rcdd, geometry (>= 0.3-6), proxy, spaMM (>= 2.4.8),
lattice, Rcpp (>= 0.12.10), nloptr, MASS, pbapply, foreach
Suggests: testthat, minqa, lbfgsb3, igraph
Description: Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. Includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (Rousset and Leblois, 2012 <doi:10.1093/molbev/MSR262>; Leblois et al., 2014 <doi:10.1093/molbev/msu212>; and see URL). The latter functions are used for prediction of likelihood surfaces and implied likelihood ratio confidence intervals, and for exploration of predictor space of the surface. Prediction of the response is based on ordinary Kriging (with residual error) of the input. Estimation of smoothing parameters is performed by generalized cross-validation.
Packaged: 2018-06-08 10:51:11 UTC; Francois.rousset

Packaged: 2019-08-20 15:29:19 UTC; Francois.rousset

Imports: numDeriv, rcdd, geometry (>= 0.3-6), proxy, spaMM (>= 3.1.0),
Suggests: testthat, minqa, lbfgsb3c, igraph
Packaged: 2020-04-20 15:14:42 UTC; francois.rousset

lattice, Rcpp (>= 0.12.10), nloptr, MASS
Packaged: 2017-11-03 10:27:14 UTC; Francois.rousset

Title: Read and Write FWF Files in the Blaise Format
Authors@R: person("Sjoerd", "Ophof", email = "sjoerd.ophof@gmail.com",
Description: Can be used to read and write a fwf with an accompanying blaise datamodel.
When supplying a datamodel for writing, the dataframe will be automatically converted
to that format and checked for compatibility.
Supports dataframes, tibbles and LaF objects.
Suggests: testthat, LaF (>= 0.6.3), knitr, rmarkdown
Collate: 'clean_model.R' 'generics.R' 'utils.R' 'variable.R' 'model.R'

Title: Read and Write FWF Files in the 'Blaise' Format
Description: Can be used to read and write a fwf with an accompanying 'Blaise' datamodel.
Blaise is the software suite built by Statistics Netherlands (CBS). It is essentially a
way to write and collect surveys and perform statistical analysis on the data. It stores its data in
fixed width format with an accompanying metadata file, this is the Blaise format. The package automatically
interprets this metadata and reads the file into an R dataframe.
For more information about 'Blaise', see <https://blaise.com/products/general-information>.