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linea - Transparent Modelling

linea is an R library, designed as an interface to accelerate linear regression modelling and visualization. The library allows users to build complex model specification through custom transformations.

The library can be installed from CRAN using install.packages('linea').

Alternatively, you can install the development version from GitHub using devtools::install_github('paladinic/linea').

The online guide provides a detailed walkthrough of how to use LINEA.

Note linea is still in alpha and the library may change. Feedback is very welcome but please don’t use it for production applications just yet!

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Version

Install

install.packages('linea')

Monthly Downloads

44

Version

0.1.1

License

GPL-3

Maintainer

Claudio Paladini

Last Published

September 15th, 2022

Functions in linea (0.1.1)

build_formula

build_formula
default_trans_df

default_trans_df
check_ts

check_ts
diminish

Diminish
heteroskedasticity_chart

heteroscedasticity_chart
export_model

export_model
hill_function

hill_function
vapply_transformation

vapply_transformation
what_combo

what_combo
run_model

run_model
is_uniform_ts

is_uniform_ts
run_combo_model

run_combo_model
what_trans

what_trans
import_model

import_model
%>%

Pipe operator
color_palette

color_palette
what_next

what_next
ma

MA
first_last_dates

first_last_dates
get_seasonality

get_seasonality
response_curves

response_curves
resid_hist_chart

resid_hist_chart
fit_chart

fit_chart
get_variable_t

get_variable_t
re_run_model

re_run_model
trans_test

trans_tester
run_text

run_text
lag

Lag
is_weekly

is_weekly
read_xcsv

read_xcsv
get_vector_from_str

get_vector_from_str
add_total_pool

add_total_pool
add_total_pool_to_data

add_total_pool_to_data
apply_transformation

#' apply_transformation
check_trans_df

check_trans_df
TRY

TRY
build_model_table

build_model_table
check_model_file

check_model_file
apply_normalisation

apply_normalisation
acf_chart

acf_chart
filter_decomp_pool

filter_decomp_pool
decomping

decomping
decomp_chart

decomp_chart
decay

decay
is_daily

is_daily
gt_f

apply_normalisation