grofit: S2

Comparing BGFit with R model and part of grofit experiment

Test estimations with grofit package

Description

Best fit by R - grofit

Nonlinear regression model
model: data ~ richards(time, A, miu, lambda, v)
data: parent.frame()
A miu lambda v
0.2310129794 0.043498997 6.4402250 17.80293

Measured data (65 lines)

X	Y	Z	Note
0.0	0.017
0.25	0.018
0.5	0.015
0.75	0.019
1.0	0.021
1.25	0.02
1.5	0.024
1.75	0.027
2.0	0.025
2.25	0.028
2.5	0.031
2.75	0.032
3.0	0.033
3.25	0.037
3.5	0.038
3.75	0.042
4.0	0.043
4.25	0.044
4.5	0.047
4.75	0.049
5.0	0.05
5.25	0.054
5.5	0.057
5.75	0.059
6.0	0.062
6.25	0.065
6.5	0.069
6.75	0.07
7.0	0.075
7.25	0.08
7.5	0.082
7.75	0.089
8.0	0.093
8.25	0.099
8.5	0.106
8.75	0.11
9.0	0.115
9.25	0.123
9.5	0.129
9.75	0.138
10.0	0.145
10.25	0.153
10.5	0.16
10.75	0.171
11.0	0.18
11.25	0.187
11.5	0.197
11.75	0.205
12.0	0.213
12.25	0.219
12.5	0.224
12.75	0.229
13.0	0.23
13.25	0.231
13.5	0.23
13.75	0.231
14.0	0.233
14.25	0.228
14.5	0.228
14.75	0.225
15.0	0.225
15.25	0.222
15.5	0.225
15.75	0.221
16.0	0.22

Download table as .csv

Manual Regression Results

Manual regression was not calculated, click here to calculate now

Proxy Models (3)

Model	Params	RMSE
Richards (log y = false)	A=0.22700591847549, lambda=6.37918310391126, miu=0.04293972564809, v=17.8028045139886	0.0023	goto	download .csv
Richards (log y = false): grofit	A=0.2310129794, lambda=6.440225, miu=0.043498997, v=17.80293	0.00299	goto	download .csv
Baranyi	h0=5.0, m=7.43252045654132, μ max.=0.24577469695063, v=0.00742340561917, y0=-4.0767692994683, ymax=-1.09614101246599	0.00171	goto	download .csv