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url: https://bbuchsbaum.github.io/referent
starlightdown:
theme: default
quickstart: |
library(referent)
reference <- ref_simulate(300, seed = 1)
fit <- ref_fit(
ref_spec(ref_gaussian(), ~ s(age, k = 8) + sex),
data = reference,
outcomes = "y"
)
scores <- predict(fit, newdata = ref_simulate(100, seed = 2))
articles:
- title: Learn referent
contents:
- getting-started
- validate-reference
- brain-charts-across-sites
- longitudinal-change
- pcntoolkit
- troubleshooting
reference:
- title: Specify, fit, and predict
desc: Define a conditional distribution, fit it, and place new observations.
contents:
- ref_spec
- ref_family
- ref_fit
- predict.ref_fit
- title: Score profiles
desc: Work with predictive distributions and individual deviation scores.
contents:
- as_scores
- dist_shash
- ref_flag
- ref_joint
- title: Select and validate models
desc: Use out-of-sample evidence to choose and check a reference model.
contents:
- ref_crossfit
- ref_select
- ref_assess
- title: Transport a reference
desc: Check support, adapt or calibrate a new site, and freeze the result.
contents:
- ref_support
- ref_adapt
- ref_calibrate
- ref_freeze
- ref_write
- title: Model longitudinal change
desc: Estimate within-person dependence, transitions, forecasts, and chart velocity.
contents:
- ref_process
- ref_dynamics
- ref_transition
- ref_forecast
- ref_derivative
- title: Summarise and visualise
desc: Turn fitted models and scores into compact tables and graphics.
contents:
- tidy.ref_fit
- autoplot.ref_fit
- fortify_centiles
- theme_referent
- title: Simulate examples
contents:
- ref_simulate