Description: Parametric linkage analysis of monogenic traits in medical
pedigrees. Features include singlepoint analysis, multipoint analysis via
'MERLIN' (Abecasis et al. (2002) <doi:10.1038/ng786>), visualisation of
log of the odds (LOD) scores and summaries of linkage peaks. Disease models
may be specified to  accommodate phenocopies, reduced penetrance and
liability classes. 'paramlink2' is part of the 'ped suite' package
ecosystem, presented in 'Pedigree Analysis in R' (Vigeland, 2021,

Description: An interface to simplify organizing parameters used in a package, using external configuration files.
This attempts to provide a cleaner alternative to options().
Authors@R: c(person("Sahil", "Seth", role = c("aut", "cre"), email =
Packaged: 2015-08-14 16:57:20 UTC; sahilseth

person("Sahil", "Seth", role = c("aut", "cre"), email = "me@sahilseth.com"),
person("Yihui", "Xie", role = c("ctb"), comment = "kable from knitr R/table.R")
Packaged: 2015-08-22 19:04:30 UTC; sahilseth
Yihui Xie [ctb] (kable from knitr R/table.R)

Packaged: 2015-07-27 16:54:21 UTC; sahilseth

Packaged: 2015-09-22 15:48:05 UTC; sahilseth

Description: An interface to simplify organizing parameters used in a package,
using external configuration files. This attempts to provide a cleaner
Packaged: 2015-12-01 21:01:18 UTC; sahilseth

Packaged: 2016-02-22 20:47:15 UTC; sahilseth

Imports: utils, RcppTOML, glue, readr (>= 1.4.0), purrr
Suggests: openxlsx, testthat, knitr, utf8
Packaged: 2021-03-01 19:24:54 UTC; sahilseth

Title: Run a Function Iteratively While Varying Parameters
Description: Run simulations or other functions while easily varying parameters
from one iteration to the next. Some common use cases would be grid search
for machine learning algorithms, running sets of simulations (e.g.,
estimating statistical power for complex models), or bootstrapping under
various conditions. See the 'paramtest' documentation for more information
Suggests: parallel, beepr, pwr, ggplot2, knitr, nlme, lavaan, dplyr,

Title: Horn's Test of Principal Components/Factors
Description: paran is an implementation of Horn's technique for evaluating the components retained in a principle components analysis (PCA). Horn's method contrasts eigenvalues produced through a PCA on a number of random data sets of uncorrelated variables with the same number of variables and observations as the experimental or observational data set to produce eigenvalues for components that are adjusted for the sample error-induced inflation. Components with adjusted eigenvalues greater than one are retained. paran may also be used to conduct parallel analysis following Glorfeld's (1995) suggestions to reduce the likelihood of over-retention.
Packaged: Sun Aug 12 08:25:01 2007; Alexis