modelr, prediction, purrr, rlang, stringr, magrittr, moonBook,
Packaged: 2019-09-03 02:33:56 UTC; cardiomoon

Title: Visualize Individual Prediction Performance
Description: Enables researchers to visualize the prediction performance of any algorithm on the individual level (or close to it), given that the predicted outcome is either binary or continuous. Visual results are instantly comprehensible.

Title: Tidy, Type-Safe 'prediction()' Methods
Description: A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always returns a data frame.

Enhances: AER, betareg, crch, e1071, gam, glmx, lme4, nlme, nnet,
ordinal, quantreg, sampleSelection, survey (>= 3.31-5),

Description: A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always returns a data frame. The package currently supports common model types (e.g., "lm", "glm") from the 'stats' package, as well as numerous other model classes from other add-on packages. See the README or main package documentation page for a complete listing.
Enhances: AER, betareg, brglm, crch, e1071, gam, gee, glmx, lme4, MASS,
mclogit, mlogit, mnlogit, MNP, nlme, nnet, ordinal, plm, pscl,
quantreg, sampleSelection, survey (>= 3.31-5), survival, VGAM

Description: A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always returns a data frame. The 'summary()' method provides a data frame with average predictions, possibly over counterfactual versions of the data (a la the 'margins' command in 'Stata'). Marginal effect estimation is provided by the related package, 'margins' <https://cran.r-project.org/package=margins>. The package currently supports common model types (e.g., "lm", "glm") from the 'stats' package, as well as numerous other model classes from other add-on packages. See the README or main package documentation page for a complete listing.
Enhances: AER, aod, betareg, biglm, brglm, caret, crch, e1071, earth,
ff, ffbase, gam (>= 1.15), gee, glmnet, glmx, kernlab, lme4,
MASS, mclogit, mda, mlogit, MNP, nlme, nnet, ordinal, plm,
pscl, quantreg, rpart, sampleSelection, speedglm, survey (>=