LFlvb · lborke · Jun 16, 2016 · Jun 16, 2016 · Jun 16, 2016 · Jun 16, 2016
diff --git a/MuPoMo_bootstrap/Histogram of theta1.pdf b/MuPoMo_bootstrap/Histogram of theta1.pdf
diff --git a/MuPoMo_bootstrap/Histogram of theta1.png b/MuPoMo_bootstrap/Histogram of theta1.png
diff --git a/MuPoMo_bootstrap/Metainfo.txt b/MuPoMo_bootstrap/Metainfo.txt
@@ -2,14 +2,13 @@ Name of QuantLet :  MuPoMo_bootstrap
 
 Published in :      MuPoMo
 
-Description :      ‘Forecasts mortality rates based on a semi-parametric approach, and bootstraps time series with innovation to compute
-                    the prediction intervals. Uses random two countries to demonstrate.’
+Description :      'Forecasts mortality rates based on a semi-parametric approach, and bootstraps time series with innovation to compute the prediction intervals. Uses random two countries to demonstrate.'
 
-Keywords :         ‘time series, demography, mortality, population, nonparametric smoothing, parametric modelling, Lee-Carter method,
-                    bootstrap’
+Keywords :         'time series, demography, mortality, population, nonparametric smoothing, parametric modelling, Lee-Carter method,
+                    bootstrap'
 
-See also :         ‘MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization, 
-                    MuPoMo_referencecurve, MuPoMo_main_twopop, MuPoMo_main_multipop’
+See also :         'MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization, 
+                    MuPoMo_referencecurve, MuPoMo_main_twopop, MuPoMo_main_multipop'
 
 Author :            Lei Fang
 

diff --git a/MuPoMo_bootstrap/Prediction intervals at different levels.pdf b/MuPoMo_bootstrap/Prediction intervals at different levels.pdf
diff --git a/MuPoMo_bootstrap/Prediction intervals at different levels.png b/MuPoMo_bootstrap/Prediction intervals at different levels.png
diff --git a/MuPoMo_bootstrap/README.md b/MuPoMo_bootstrap/README.md
@@ -0,0 +1,34 @@
+<div style="margin: 0; padding: 0; text-align: center; border: none;">
+<a href="https://quantlet.com" target="_blank" style="text-decoration: none; border: none;">
+<img src="https://github.com/StefanGam/test-repo/blob/main/quantlet_design.png?raw=true" alt="Header Image" width="100%" style="margin: 0; padding: 0; display: block; border: none;" />
+</a>
+</div>
+
+```
+Name of QuantLet: MuPoMo_bootstrap
+
+Published in: MuPoMo
+
+Description: Forecasts mortality rates based on a semi-parametric approach, and bootstraps time series with innovation to compute the prediction intervals. Uses random two countries to demonstrate.
+
+Keywords: time series, demography, mortality, population, nonparametric smoothing, parametric modelling, Lee-Carter method,
+
+See also: MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization,
+
+Author: Lei Fang
+
+Submitted: Mon, June 13 2016 by Lei Fang
+
+Example: 
+- Prediction intervals at different levels
+- Histogram of theta1
+
+```
+<div align="center">
+<img src="https://raw.githubusercontent.com/QuantLet/MuPoMo/master/MuPoMo_bootstrap/Histogram%20of%20theta1.png" alt="Image" />
+</div>
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/QuantLet/MuPoMo/master/MuPoMo_bootstrap/Prediction%20intervals%20at%20different%20levels.png" alt="Image" />
+</div>
+
diff --git a/MuPoMo_data/Metainfo.txt b/MuPoMo_data/Metainfo.txt
@@ -3,12 +3,12 @@ Name of QuantLet :  MuPoMo_data
 Published in :      MuPoMo
 
 Description :      'Reads data from Human Mortality Database and calculate kt, and will be called
-                    in MuPoMo_main_twopop and MuPoMo_main_multipop.’
+                    in MuPoMo_main_twopop and MuPoMo_main_multipop.'
 
-Keywords :         ‘time series, demography, mortality, Lee-Carter method, population, Human Mortality Database’
+Keywords :         'time series, demography, mortality, Lee-Carter method, population, Human Mortality Database'
 
-See also :         ‘MuPoMo_optimization, MuPoMo_normalization, MuPoMo_referencecurve, 
-                    MuPoMo_main_twopop, MuPoMo_main_multipop, MuPoMo_bootstrap’
+See also :         'MuPoMo_optimization, MuPoMo_normalization, MuPoMo_referencecurve, 
+                    MuPoMo_main_twopop, MuPoMo_main_multipop, MuPoMo_bootstrap'
 
 Author :            Lei Fang
 

diff --git a/MuPoMo_data/README.md b/MuPoMo_data/README.md
@@ -0,0 +1,22 @@
+<div style="margin: 0; padding: 0; text-align: center; border: none;">
+<a href="https://quantlet.com" target="_blank" style="text-decoration: none; border: none;">
+<img src="https://github.com/StefanGam/test-repo/blob/main/quantlet_design.png?raw=true" alt="Header Image" width="100%" style="margin: 0; padding: 0; display: block; border: none;" />
+</a>
+</div>
+
+```
+Name of QuantLet: MuPoMo_data
+
+Published in: MuPoMo
+
+Description: Reads data from Human Mortality Database and calculate kt, and will be called
+
+Keywords: time series, demography, mortality, Lee-Carter method, population, Human Mortality Database
+
+See also: MuPoMo_optimization, MuPoMo_normalization, MuPoMo_referencecurve,
+
+Author: Lei Fang
+
+Submitted: Mon, June 13 2016 by Lei Fang
+
+```
diff --git a/MuPoMo_main_multipop/Metainfo.txt b/MuPoMo_main_multipop/Metainfo.txt
@@ -3,12 +3,12 @@ Name of QuantLet :  MuPoMo_main_multipop
 Published in :      MuPoMo
 
 Description :      'Estimates and forecasts mortality rates based on a semi-parametric approach, which applies parametric modelling for 
-                    multiple nonparametric smoothed curves with the shape-related nonlinear variation.’
+                    multiple nonparametric smoothed curves with the shape-related nonlinear variation.'
 
-Keywords :         ‘time series, demography, mortality, population, nonparametric smoothing, parametric modelling, Lee-Carter method’
+Keywords :         'time series, demography, mortality, population, nonparametric smoothing, parametric modelling, Lee-Carter method'
 
-See also :         ‘MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization, 
-                    MuPoMo_referencecurve, MuPoMo_main_twopop, MuPoMo_bootstrap’
+See also :         'MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization, 
+                    MuPoMo_referencecurve, MuPoMo_main_twopop, MuPoMo_bootstrap'
 
 Author :            Lei Fang
 

diff --git a/MuPoMo_main_multipop/Multi-Population model with German data.pdf b/MuPoMo_main_multipop/Multi-Population model with German data.pdf
diff --git a/MuPoMo_main_multipop/Multi-Population model with German data.png b/MuPoMo_main_multipop/Multi-Population model with German data.png
diff --git a/MuPoMo_main_multipop/Multi-Population model with Japanese data.pdf b/MuPoMo_main_multipop/Multi-Population model with Japanese data.pdf
diff --git a/MuPoMo_main_multipop/Multi-Population model with Japanese data.png b/MuPoMo_main_multipop/Multi-Population model with Japanese data.png
diff --git a/MuPoMo_main_multipop/README.md b/MuPoMo_main_multipop/README.md
@@ -0,0 +1,34 @@
+<div style="margin: 0; padding: 0; text-align: center; border: none;">
+<a href="https://quantlet.com" target="_blank" style="text-decoration: none; border: none;">
+<img src="https://github.com/StefanGam/test-repo/blob/main/quantlet_design.png?raw=true" alt="Header Image" width="100%" style="margin: 0; padding: 0; display: block; border: none;" />
+</a>
+</div>
+
+```
+Name of QuantLet: MuPoMo_main_multipop
+
+Published in: MuPoMo
+
+Description: Estimates and forecasts mortality rates based on a semi-parametric approach, which applies parametric modelling for
+
+Keywords: time series, demography, mortality, population, nonparametric smoothing, parametric modelling, Lee-Carter method
+
+See also: MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization,
+
+Author: Lei Fang
+
+Submitted: Mon, June 13 2016 by Lei Fang
+
+Example: 
+- Multi-Population model with German data
+- Multi-Population model with Japanese data
+
+```
+<div align="center">
+<img src="https://raw.githubusercontent.com/QuantLet/MuPoMo/master/MuPoMo_main_multipop/Multi-Population%20model%20with%20German%20data.png" alt="Image" />
+</div>
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/QuantLet/MuPoMo/master/MuPoMo_main_multipop/Multi-Population%20model%20with%20Japanese%20data.png" alt="Image" />
+</div>
+
diff --git a/MuPoMo_main_twopop/Contour plot of theta2 and theta4.pdf b/MuPoMo_main_twopop/Contour plot of theta2 and theta4.pdf
diff --git a/MuPoMo_main_twopop/Contour plot of theta2 and theta4.png b/MuPoMo_main_twopop/Contour plot of theta2 and theta4.png
diff --git a/MuPoMo_main_twopop/Loss function of theta2.pdf b/MuPoMo_main_twopop/Loss function of theta2.pdf
diff --git a/MuPoMo_main_twopop/Loss function of theta2.png b/MuPoMo_main_twopop/Loss function of theta2.png
diff --git a/MuPoMo_main_twopop/Metainfo.txt b/MuPoMo_main_twopop/Metainfo.txt
@@ -4,13 +4,13 @@ Published in :      MuPoMo
 
 Description :      'Estimates and forecasts mortality rates based on a semi-parametric approach, which applies parametric modelling for 
                     multiple nonparametric curves with the shape-related nonlinear variation. Uses random two countries to demonstrate 
-                    two-country case.’
+                    two-country case.'
 
-Keywords :         ‘time series, demography, mortality, population, nonparametric smoothing, parametric modelling, Lee-Carter method,
-                    contour’
+Keywords :         'time series, demography, mortality, population, nonparametric smoothing, parametric modelling, Lee-Carter method,
+                    contour'
 
-See also :         ‘MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization, 
-                    MuPoMo_referencecurve, MuPoMo_main_multipop, MuPoMo_bootstrap’
+See also :         'MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization, 
+                    MuPoMo_referencecurve, MuPoMo_main_multipop, MuPoMo_bootstrap'
 
 Author :            Lei Fang
 

diff --git a/MuPoMo_main_twopop/Model fit and forecast.pdf b/MuPoMo_main_twopop/Model fit and forecast.pdf
diff --git a/MuPoMo_main_twopop/Model fit and forecast.png b/MuPoMo_main_twopop/Model fit and forecast.png
diff --git a/MuPoMo_main_twopop/README.md b/MuPoMo_main_twopop/README.md
@@ -0,0 +1,49 @@
+<div style="margin: 0; padding: 0; text-align: center; border: none;">
+<a href="https://quantlet.com" target="_blank" style="text-decoration: none; border: none;">
+<img src="https://github.com/StefanGam/test-repo/blob/main/quantlet_design.png?raw=true" alt="Header Image" width="100%" style="margin: 0; padding: 0; display: block; border: none;" />
+</a>
+</div>
+
+```
+Name of QuantLet: MuPoMo_main_twopop
+
+Published in: MuPoMo
+
+Description: Estimates and forecasts mortality rates based on a semi-parametric approach, which applies parametric modelling for
+
+Keywords: time series, demography, mortality, population, nonparametric smoothing, parametric modelling, Lee-Carter method,
+
+See also: MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization,
+
+Author: Lei Fang
+
+Submitted: Mon, June 13 2016 by Lei Fang
+
+Example: 
+- Time shift at different levels
+- Loss function of theta2
+- Loss surface 3D
+- Contour plot of theta2 and theta4
+- Model fit and forecast
+
+```
+<div align="center">
+<img src="https://raw.githubusercontent.com/QuantLet/MuPoMo/master/MuPoMo_main_twopop/Contour%20plot%20of%20theta2%20and%20theta4.png" alt="Image" />
+</div>
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/QuantLet/MuPoMo/master/MuPoMo_main_twopop/Loss%20function%20of%20theta2.png" alt="Image" />
+</div>
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/QuantLet/MuPoMo/master/MuPoMo_main_twopop/Loss%20surface%203D.png" alt="Image" />
+</div>
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/QuantLet/MuPoMo/master/MuPoMo_main_twopop/Model%20fit%20and%20forecast.png" alt="Image" />
+</div>
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/QuantLet/MuPoMo/master/MuPoMo_main_twopop/Time%20shift%20at%20different%20levels.png" alt="Image" />
+</div>
+
diff --git a/MuPoMo_main_twopop/Time shift at different levels.pdf b/MuPoMo_main_twopop/Time shift at different levels.pdf
diff --git a/MuPoMo_main_twopop/Time shift at different levels.png b/MuPoMo_main_twopop/Time shift at different levels.png
diff --git a/MuPoMo_normalization/Metainfo.txt b/MuPoMo_normalization/Metainfo.txt
@@ -3,12 +3,12 @@ Name of QuantLet :  MuPoMo_normalization
 Published in :      MuPoMo
 
 Description :      'Normalizes optimal shape variation parameters theta estimated from MuPoMo_optimization, and will be 
-                    called in MuPoMo_main_multipop.’
+                    called in MuPoMo_main_multipop.'
 
-Keywords :         ‘time series, demography, mortality, population, normalization’
+Keywords :         'time series, demography, mortality, population, normalization'
 
-See also :         ‘MuPoMo_data, MuPoMo_optimization, MuPoMo_referencecurve, 
-                    MuPoMo_main_twopop, MuPoMo_main_multipop, MuPoMo_bootstrap’
+See also :         'MuPoMo_data, MuPoMo_optimization, MuPoMo_referencecurve, 
+                    MuPoMo_main_twopop, MuPoMo_main_multipop, MuPoMo_bootstrap'
 
 Author :            Lei Fang
 

diff --git a/MuPoMo_normalization/README.md b/MuPoMo_normalization/README.md
@@ -0,0 +1,22 @@
+<div style="margin: 0; padding: 0; text-align: center; border: none;">
+<a href="https://quantlet.com" target="_blank" style="text-decoration: none; border: none;">
+<img src="https://github.com/StefanGam/test-repo/blob/main/quantlet_design.png?raw=true" alt="Header Image" width="100%" style="margin: 0; padding: 0; display: block; border: none;" />
+</a>
+</div>
+
+```
+Name of QuantLet: MuPoMo_normalization
+
+Published in: MuPoMo
+
+Description: Normalizes optimal shape variation parameters theta estimated from MuPoMo_optimization, and will be
+
+Keywords: time series, demography, mortality, population, normalization
+
+See also: MuPoMo_data, MuPoMo_optimization, MuPoMo_referencecurve,
+
+Author: Lei Fang
+
+Submitted: Mon, June 13 2016 by Lei Fang
+
+```
diff --git a/MuPoMo_optimization/Metainfo.txt b/MuPoMo_optimization/Metainfo.txt
@@ -3,12 +3,12 @@ Name of QuantLet :  MuPoMo_optimization
 Published in :      MuPoMo
 
 Description :      'Optimizes shape variation parameters theta based on kt and reference curve 
-                    to update new kt, and will be called in MuPoMo_main_twopop and MuPoMo_main_multipop.’
+                    to update new kt, and will be called in MuPoMo_main_twopop and MuPoMo_main_multipop.'
 
-Keywords :         ‘time series, demography, mortality, population, nonlinear, optimization, non parametric smoothing’
+Keywords :         'time series, demography, mortality, population, nonlinear, optimization, non parametric smoothing'
 
-See also :         ‘MuPoMo_data, MuPoMo_normalization, MuPoMo_referencecurve, 
-                    MuPoMo_main_twopop, MuPoMo_main_multipop, MuPoMo_bootstrap’
+See also :         'MuPoMo_data, MuPoMo_normalization, MuPoMo_referencecurve, 
+                    MuPoMo_main_twopop, MuPoMo_main_multipop, MuPoMo_bootstrap'
 
 Author :            Lei Fang, Juhyun Park
 

diff --git a/MuPoMo_optimization/README.md b/MuPoMo_optimization/README.md
@@ -0,0 +1,22 @@
+<div style="margin: 0; padding: 0; text-align: center; border: none;">
+<a href="https://quantlet.com" target="_blank" style="text-decoration: none; border: none;">
+<img src="https://github.com/StefanGam/test-repo/blob/main/quantlet_design.png?raw=true" alt="Header Image" width="100%" style="margin: 0; padding: 0; display: block; border: none;" />
+</a>
+</div>
+
+```
+Name of QuantLet: MuPoMo_optimization
+
+Published in: MuPoMo
+
+Description: Optimizes shape variation parameters theta based on kt and reference curve
+
+Keywords: time series, demography, mortality, population, nonlinear, optimization, non parametric smoothing
+
+See also: MuPoMo_data, MuPoMo_normalization, MuPoMo_referencecurve,
+
+Author: Lei Fang, Juhyun Park
+
+Submitted: Mon, June 13 2016 by Lei Fang
+
+```
diff --git a/MuPoMo_referencecurve/Metainfo.txt b/MuPoMo_referencecurve/Metainfo.txt
@@ -3,12 +3,12 @@ Name of QuantLet :  MuPoMo_referencecurve
 Published in :      MuPoMo
 
 Description :      'Regenerates reference curve (common trend) based on normalized optimal theta parameters and smoothed original kt, 
-                    and will be called in MuPoMo_main_multipop.’
+                    and will be called in MuPoMo_main_multipop.'
 
-Keywords :         ‘time series, demography, mortality, population, normalization’
+Keywords :         'time series, demography, mortality, population, normalization'
 
-See also :         ‘MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization, 
-                    MuPoMo_main_twopop, MuPoMo_main_multipop, MuPoMo_bootstrap’
+See also :         'MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization, 
+                    MuPoMo_main_twopop, MuPoMo_main_multipop, MuPoMo_bootstrap'
 
 Author :            Lei Fang
 

diff --git a/MuPoMo_referencecurve/README.md b/MuPoMo_referencecurve/README.md
@@ -0,0 +1,22 @@
+<div style="margin: 0; padding: 0; text-align: center; border: none;">
+<a href="https://quantlet.com" target="_blank" style="text-decoration: none; border: none;">
+<img src="https://github.com/StefanGam/test-repo/blob/main/quantlet_design.png?raw=true" alt="Header Image" width="100%" style="margin: 0; padding: 0; display: block; border: none;" />
+</a>
+</div>
+
+```
+Name of QuantLet: MuPoMo_referencecurve
+
+Published in: MuPoMo
+
+Description: Regenerates reference curve (common trend) based on normalized optimal theta parameters and smoothed original kt,
+
+Keywords: time series, demography, mortality, population, normalization
+
+See also: MuPoMo_data, MuPoMo_optimization, MuPoMo_normalization,
+
+Author: Lei Fang
+
+Submitted: Mon, June 13 2016 by Lei Fang
+
+```
diff --git a/yamldebugger_results.md b/yamldebugger_results.md
@@ -0,0 +1,9 @@
+|Q-Quali |Q folders             |Q Names               |Descriptions stats           |Keywords stats           |Meta Info data fields   |Bad file names                                                                                                                                                             |
+|:-------|:---------------------|:---------------------|:----------------------------|:------------------------|:-----------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+|C       |MuPoMo_bootstrap      |MuPoMo_bootstrap      |26 word(s), 156 Character(s) |8: 4 (standard), 4 (new) |q, p, a, d, k, e, s, sa |bad Q file names!: Histogram of theta1.png, Prediction intervals at different levels.png                                                                                   |
+|A       |MuPoMo_data           |MuPoMo_data           |21 word(s), 103 Character(s) |6: 3 (standard), 3 (new) |q, p, a, d, k, s, sa    |                                                                                                                                                                           |
+|C       |MuPoMo_main_multipop  |MuPoMo_main_multipop  |26 word(s), 171 Character(s) |7: 3 (standard), 4 (new) |q, p, a, d, k, e, s, sa |bad Q file names!: Multi-Population model with German data.png, Multi-Population model with Japanese data.png                                                              |
+|C       |MuPoMo_main_twopop    |MuPoMo_main_twopop    |34 word(s), 212 Character(s) |8: 4 (standard), 4 (new) |q, p, a, d, k, e, s, sa |bad Q file names!: Contour plot of theta2 and theta4.png, Loss function of theta2.png, Loss surface 3D.png, Model fit and forecast.png, Time shift at different levels.png |
+|A       |MuPoMo_normalization  |MuPoMo_normalization  |18 word(s), 112 Character(s) |5: 4 (standard), 1 (new) |q, p, a, d, k, s, sa    |                                                                                                                                                                           |
+|A       |MuPoMo_optimization   |MuPoMo_optimization   |27 word(s), 131 Character(s) |7: 4 (standard), 3 (new) |q, p, a, d, k, s, sa    |                                                                                                                                                                           |
+|A       |MuPoMo_referencecurve |MuPoMo_referencecurve |23 word(s), 131 Character(s) |5: 4 (standard), 1 (new) |q, p, a, d, k, s, sa    |                                                                                                                                                                           |