OLS_modeling: functions related to modeling

In jstrunk001/RSForInvt: Remote Sensing FORest INVenTory related analysis tasks, especially FUSION, lidR, NVEL

functions related to modeling

Description

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Usage

reg_model(
  dat_yx,
  reg_obj,
  rank = 1,
  rank_by = c("bic", "rsq", "rss", "adjr2", "cp"),
  debug = FALSE,
  ...
)

lm_boot(model, y = NA, data = NA, n_boot = 50)

many_boots(model, n_range, r_boots = 10, n_clus = 1, lm_boot, ...)

reg_multi(
  y_vars,
  data,
  form_y = c("y~.", "y~.*."),
  n_v_max = 3,
  n_best = 1,
  really_big = FALSE,
  n_clus = 1,
  ...
)

mod_multi(reg_multi_obj, data, ...)

pred_multi(
  mods,
  data,
  dat0,
  id_col,
  n_clus = 1,
  clus = NA,
  out_dir = NULL,
  se_fit = TRUE,
  return = FALSE,
  fix_outliers = T,
  outlier_fun = function(y0, yhat, yhat_se) {     large = yhat > max(y0) * 1.5    
    small = yhat < 0     yhat[small] = 0     yhat[large] = quantile(y0, 0.99) * 1.5    
    yhat_se[large] = max(yhat_se[!large & !small])     yhat_se[small] =
    max(yhat_se[!large & !small])     data.frame(fit = yhat, se_fit = yhat_se) }
)

multi_bs(mods, n_boot = 50, n_clus, lm_boot)

lm_summary(x, data, resids = FALSE)

Arguments

dat_yx	tbd
reg_obj	tbd
rank	tbd
rank_by	tbd
debug	tbd
...	tbd pred_multi() parameters:
model	tbd
y	tbd
data	tbd
n_boot	tbd
n_range	tbd
r_boots	tbd
n_clus	tbd
lm_boot	tbd lm_summary() parameters:
y_vars	tbd
form_y	tbd
n_v_max	tbd
n_best	tbd
really_big	tbd
reg_multi_obj	tbd
mods	tbd
dat0	tbd
id_col	tbd
clus	tbd
out_dir	tbd
se_fit	tbd
return	tbd
fix_outliers	tbd
outlier_fun	tbd multi_bs() parameters:
x	tbd
resids	tbd

Details

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Revision History

1.0	date and revisions..

Value

reg_model: lm_boot: many_boots: reg_multi: mod_multi: pred_multi: multi_bs: lm_summary:

Author(s)

Jacob Strunk <[e-mail]>

See Also

regsubsets

Examples

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jstrunk001/RSForInvt documentation built on April 18, 2022, 11:03 p.m.