Title: A Fast and Lightweight R6 Parameter Interface
Description: By making use of 'set6', alongside the S3 and R6 paradigms, this package provides a fast and lightweight R6 interface for parameters and parameter sets.
Imports: checkmate, data.table, set6 (>= 0.2.0), R6

Imports: checkmate, data.table, dictionar6 (>= 0.1.2), set6 (>= 0.2.3),
Packaged: 2021-07-26 20:07:12 UTC; raphaelsonabend

Packaged: 2021-10-05 08:56:10 UTC; raphaelsonabend

Title: A Shiny GUI for some Parameter Estimation Examples
Authors@R: c(person("Joris", "Snellenburg", role = c("cre","aut"),
person("Katharine", "Mullen", role = "aut"),
person("Ivo", "van Stokkum", role = "aut",
Description: Allows specification and fitting of some parameter
estimation examples inspired by time-resolved spectroscopy via
Depends: R (>= 3.2.2), TIMP, shiny, shinydashboard, colorspace, fields

Depends: R (>= 3.0.0), TIMP, shiny, shinydashboard, colorspace, fields

Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like standardization or bootstrapping of parameters and models, feature reduction (feature extraction and variable selection) as well as conversion between indices of effect size.
Imports: insight (>= 0.4.1), bayestestR (>= 0.2.5), tools
Suggests: BayesFM, BayesFactor, boot, brms, cAIC4, covr, dplyr, EGAnet
(>= 0.7), knitr, lavaan, lme4, lmerTest, logspline, MASS,
MuMIn, nFactors, pbkrtest, psych, projpred, randomForest,
rmarkdown, rstanarm, see, survey, testthat, VGAM

Description: Utilities for processing the parameters of various
statistical models. Beyond computing p values, CIs, and other indices
for a wide variety of models (see support list of insight; Lüdecke,
Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package
implements features like bootstrapping or simulating of parameters and
models, feature reduction (feature extraction and variable selection)
as well as functions to describe data and variable characteristics
(e.g. skewness, kurtosis, smoothness or distribution).
Imports: bayestestR (>= 0.7.5), insight (>= 0.11.0), methods, stats,
Suggests: AER, afex, aod, BayesFactor, BayesFM, bbmle, betareg, blme,
boot, brglm2, brms, broom, cAIC4, car, clubSandwich, cluster,
covr, cplm, dplyr, DRR, effectsize (>= 0.4.0), EGAnet (>= 0.7),
FactoMineR, fastICA, gam, gamlss, gee, geepack, ggplot2,
GLMMadaptive, glmmTMB, GPArotation, lavaan, lavaSearch2, lfe,
lme4, lmerTest, logspline, knitr, MASS, magrittr, Matrix,
mclust, MCMCglmm, mediation, metaBMA, metafor, mice, mfx, mgcv,
multcomp, multimode, MuMIn, M3C, NbClust, nFactors, nlme,
performance (>= 0.5.1), plm, projpred, pscl, psych, quantreg,
randomForest, rmarkdown, rstanarm, sandwich, see, sjstats,
spelling, survey, survival, testthat, TMB, tripack, truncreg,