OLS_modeling: functions related to modeling

In jstrunk001/lasR: Simple lidar reading, processing, viewing

Description

<Delete and Replace>

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 lm_boot() parameters:
model	tbd
y	tbd
data	tbd
n_boot	tbd many_boots() parameters:
n_range	tbd
r_boots	tbd
n_clus	tbd
lm_boot	tbd
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
model	tbd
...	tbd reg_multi() parameters:
data	tbd
n_clus	tbd
...	tbd mod_multi() parameters:
data	tbd
...	tbd pred_multi() parameters:
data	tbd
n_clus	tbd
mods	tbd
n_boot	tbd
n_clus	tbd
lm_boot	tbd lm_summary() parameters:
data	tbd

Details

<Delete and Replace>

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

<Delete and Replace>

jstrunk001/lasR documentation built on April 20, 2020, 7:24 a.m.